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<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1407865</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2024.1407865</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Understanding copy number variations through their genes: a molecular view on 16p11.2 deletion and duplication syndromes</article-title>
<alt-title alt-title-type="left-running-head">Leone et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2024.1407865">10.3389/fphar.2024.1407865</ext-link>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Leone</surname>
<given-names>Roberta</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Zuglian</surname>
<given-names>Cecilia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Brambilla</surname>
<given-names>Riccardo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Morella</surname>
<given-names>Ilaria</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Universit&#xe0; di Pavia</institution>, <institution>Dipartimento di Biologia e Biotecnologie &#x201c;Lazzaro Spallanzani&#x201d;</institution>, <addr-line>Pavia</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Cardiff University</institution>, <institution>School of Biosciences</institution>, <institution>Neuroscience and Mental Health Innovation Institute</institution>, <addr-line>Cardiff</addr-line>, <country>United Kingdom</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/384078/overview">Harry Pantazopoulos</ext-link>, University of Mississippi Medical Center, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/783473/overview">Luigi Balasco</ext-link>, University of Trento, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1294770/overview">Simon Trent</ext-link>, Keele University, United Kingdom</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Riccardo Brambilla, <email>riccardo.brambilla@unipv.it</email>; Ilaria Morella, <email>morellai@cardiff.ac.uk</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1407865</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>05</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Leone, Zuglian, Brambilla and Morella.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Leone, Zuglian, Brambilla and Morella</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Neurodevelopmental disorders (NDDs) include a broad spectrum of pathological conditions that affect &#x3e;4% of children worldwide, share common features and present a variegated genetic origin. They include clinically defined diseases, such as autism spectrum disorders (ASD), attention-deficit/hyperactivity disorder (ADHD), motor disorders such as Tics and Tourette&#x2019;s syndromes, but also much more heterogeneous conditions like intellectual disability (ID) and epilepsy. Schizophrenia (SCZ) has also recently been proposed to belong to NDDs. Relatively common causes of NDDs are copy number variations (CNVs), characterised by the gain or the loss of a portion of a chromosome. In this review, we focus on deletions and duplications at the 16p11.2 chromosomal region, associated with NDDs, ID, ASD but also epilepsy and SCZ. Some of the core phenotypes presented by human carriers could be recapitulated in animal and cellular models, which also highlighted prominent neurophysiological and signalling alterations underpinning 16p11.2 CNVs-associated phenotypes. In this review, we also provide an overview of the genes within the 16p11.2 locus, including those with partially known or unknown function as well as non-coding RNAs. A particularly interesting interplay was observed between MVP and MAPK3 in modulating some of the pathological phenotypes associated with the 16p11.2 deletion. Elucidating their role in intracellular signalling and their functional links will be a key step to devise novel therapeutic strategies for 16p11.2 CNVs-related syndromes.</p>
</abstract>
<kwd-group>
<kwd>16p11.2 CNV</kwd>
<kwd>basal ganglia</kwd>
<kwd>MAPK3</kwd>
<kwd>neurodevelopmental disorders</kwd>
<kwd>animal models</kwd>
<kwd>iPSC (induced pluripotent stem cell)</kwd>
<kwd>excitation/inhibition (E/I) imbalance</kwd>
<kwd>intellectual disability</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neuropharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Neurodevelopmental disorders (NDDs) include conditions with a wide range of neuropsychiatric symptoms that are now believed to originate from alterations at the cortical and subcortical level during both prenatal and early postnatal brain development. Symptoms are highly variable, especially in the predominant idiopathic forms, but the core components are normally associated to intellectual disability (ID), autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD) and epilepsy. Associated psychiatric symptoms may include depression and anxiety, speech delays and in the most severe cases, schizophrenia and/or bipolar disorder. In syndromic forms, non-psychiatric symptoms may also occur, including metabolic dysfunctions, alterations in brain size, and cardio-facial-cutaneous malformations (<xref ref-type="bibr" rid="B119">Mitchell, 2011</xref>).</p>
<p>We know from previous literature (revised in (<xref ref-type="bibr" rid="B7">Backhausen et al., 2022</xref>) that cortical and subcortical grey matter formation follows a structured developmental pattern, presenting an initial increase in childhood that is followed by a decrease during adolescence. This developmental trajectory supports the mechanisms of reinforcement of important connection through learning and the elimination of redundant synapses during maturation, and it is differently affected in NDDs. For instance, while ADHD is characterised by a general reduction in the volume and surface area of basal ganglia and prefrontal cortex (PFC) (<xref ref-type="bibr" rid="B165">Shaw et al., 2014</xref>; <xref ref-type="bibr" rid="B73">Hoogman et al., 2017</xref>), children with ID present a general decrease in brain size throughout childhood and adolescence, but prefrontal and cingulate areas present higher volumes than healthy peers (<xref ref-type="bibr" rid="B103">Ma et al., 2021</xref>). A generalized increase in frontal cortical volumes has also been described in ASD patients within the first 2 years of age (<xref ref-type="bibr" rid="B25">Courchesne et al., 2011</xref>): a tendency that reverts in adulthood, when ASD brains show a higher rate of structural decline (<xref ref-type="bibr" rid="B195">Wallace and Rogers, 2010</xref>; <xref ref-type="bibr" rid="B25">Courchesne et al., 2011</xref>; <xref ref-type="bibr" rid="B93">Lange et al., 2015</xref>), although maintaining an abnormal growth rate in the basal ganglia (<xref ref-type="bibr" rid="B94">Langen et al., 2009</xref>; <xref ref-type="bibr" rid="B203">Wegiel et al., 2014</xref>).</p>
<p>Interestingly, in Schizophrenia (SCZ), a reduction in cortical volume is observed, mostly in the frontal, prefrontal and temporal lobes, accompanied by a reduction in the volume of basal ganglia and a more peculiar enlargement of the ventricles (<xref ref-type="bibr" rid="B167">Shenton et al., 2001</xref>; <xref ref-type="bibr" rid="B51">Fornito et al., 2009</xref>; <xref ref-type="bibr" rid="B92">Kuo and Pogue-Geile, 2019</xref>; <xref ref-type="bibr" rid="B15">Cai et al., 2022</xref>). While the onset of the symptoms is delayed in SCZ compared to other NDDs, morphological abnormalities have been described prior to symptoms appearance and become more severe over time, thus supporting the neurodevelopmental origin of this disease (<xref ref-type="bibr" rid="B160">Rund, 2009</xref>; <xref ref-type="bibr" rid="B136">Owen et al., 2011</xref>).</p>
<p>Although brain development differently deviates from its physiological developmental trajectory in different NDDs, affected areas recurrently belong to the thalamus-striatal-prefrontal axis (<xref ref-type="bibr" rid="B36">Di Martino et al., 2011</xref>; <xref ref-type="bibr" rid="B146">Prat et al., 2016</xref>; <xref ref-type="bibr" rid="B159">Roy et al., 2021</xref>). Morphological brain abnormalities constitute an endophenotype common to all NDDs, accompanied by a strong comorbidity of other symptoms, including cognitive, motor and social impairments (<xref ref-type="bibr" rid="B41">Eberhard et al., 2022</xref>), as well as seizures (<xref ref-type="bibr" rid="B23">Chow et al., 2019</xref>; <xref ref-type="bibr" rid="B202">Watkins et al., 2022</xref>) and sex biases (<xref ref-type="bibr" rid="B161">Santos et al., 2022</xref>). An endophenotypes can be caused by different genetic variations which affect one or more neural circuits, independently leading to an overall effect that is common to multiple clinical entities (<xref ref-type="bibr" rid="B17">Cannon and Keller, 2006</xref>). Results from genome-wide association studies described a strong correlation between NDDs and single genomic variations in functionally related sets of genes involved in neurodevelopmental processes, synaptic plasticity, learning and memory (<xref ref-type="bibr" rid="B28">Cross-Disorder Group of the Psychiatric Genomics, 2013</xref>; <xref ref-type="bibr" rid="B158">Ripke et al., 2013</xref>; <xref ref-type="bibr" rid="B38">Doherty and Owen, 2014</xref>; <xref ref-type="bibr" rid="B53">Fromer et al., 2014</xref>). These shared risk factors are responsible not only for symptoms comorbidity among patients with different diagnoses of NDDs, but they also increase the risk of developing NDDs in families where the same or a different NDD is already present (<xref ref-type="bibr" rid="B96">Larsson et al., 2005</xref>; <xref ref-type="bibr" rid="B31">Daniels et al., 2008</xref>; <xref ref-type="bibr" rid="B176">Sullivan et al., 2012</xref>; <xref ref-type="bibr" rid="B95">Larsson et al., 2013</xref>). However, it is very difficult to ascribe all the clinical manifestations of different NDDs to single gene variants, although several cases of direct causality do exist, such as FMR1 as a genetic cause of ASD (<xref ref-type="bibr" rid="B55">Fyke and Velinov, 2021</xref>), NRG1 and DISC1 for SCZ (<xref ref-type="bibr" rid="B29">Dahoun et al., 2017</xref>; <xref ref-type="bibr" rid="B217">Zhang et al., 2017</xref>) and FOXP2 in ADHD (<xref ref-type="bibr" rid="B44">Faraone and Larsson, 2019</xref>). Most likely, single genes found associated with NDDs should play major roles in one or more biological processes critical for brain development and function, including connectivity, synaptic transmission, and neuronal signalling.</p>
<p>Genetic causes of NDDs also include copy number variations (CNVs), rare genetic variants in which either deletion or duplication (less often triplication) of an entire chromosomal portion may occur (for a general review, see (<xref ref-type="bibr" rid="B61">Grayton et al., 2012</xref>). These chromosomal rearrangements may originate from genetic transmission to offspring or may be <italic>de-novo</italic> mutations and constitute a significant burden in the onset of NDDs (<xref ref-type="bibr" rid="B164">Sebat et al., 2007</xref>; <xref ref-type="bibr" rid="B198">Walsh et al., 2008</xref>; <xref ref-type="bibr" rid="B171">Sonderby et al., 2022</xref>). They include several genes of both known and unknown function, potentially interfering with multiple, interlinked, molecular pathways. Although CNVs are less common than single gene variations, they constitute a much stronger risk factor in the development of NDDs, with a penetrance from 10% to 100% in some cases (<xref ref-type="bibr" rid="B85">Kirov, 2015</xref>). Interestingly, penetrance of symptoms can be highly variable within the same CNV carrier population, with subjects with no notable phenotypes while others severely affected. Gene dosage does not usually help in understanding symptom severity, since opposite variations on the same genomic region often lead to similar phenotypes (<xref ref-type="bibr" rid="B127">Niarchou et al., 2019</xref>; <xref ref-type="bibr" rid="B213">Zarrei et al., 2019</xref>).</p>
<p>This genomic complexity represents a formidable challenge to understand the relative contribution of each gene, and its likely interactions with the nearby CNV genes. However, it strongly limits our understanding of the pathological mechanisms as well as the devising of effective therapies. Furthermore, non-coding RNAs that are commonly found in CNVs may also be relevant for the onset of NDD phenotypes.</p>
<p>In this review, we will focus our attention on the 16p11.2 CNV (<xref ref-type="bibr" rid="B154">Rein and Yan, 2020</xref>). Deletions (DEL) and duplications (DUP) at the human 16p11.2 breakpoints (BP) four to five chromosomal region account for leading causes of neurodevelopmental disorders and intellectual disabilities worldwide, with an estimated of three in 10,000 people for each syndrome. Individuals with deletions or duplications are diagnosed with intellectual disabilities and psychiatric disorders with a likelihood of 50% and 60%, respectively (<xref ref-type="bibr" rid="B127">Niarchou et al., 2019</xref>).</p>
<p>CNVs on 16p11.2 are most frequently associated with ASD and other NDDs than do other CNVs. Data pooled from different studies found a frequency of 0.35%, 0.21%, 0.17%, and 0.17% for 16p11.2 deletions, 16p11.2 duplications, 1q21.1 duplications, and 15q11.2&#x2013;13.1 duplications, respectively, in the onset of ASD, ID, ADHD (<xref ref-type="bibr" rid="B221">Mollon et al., 2023</xref>). It is noteworthy that deletions on the chromosomal region 22q11.2 also constitute a strong risk factor for SCZ and, to a less extent, ASD (<xref ref-type="bibr" rid="B220">Bassett et al., 2003</xref>). Interestingly, some genes on 16p11.2 and 22q11.2 regions belong to common molecular pathways. For instance, ERK1 is located on 16p11.2, ERK2 on 22q11.2, and the reciprocal differential expression level for these two effectors of the MAPK signalling cascade has previously been associated with cognitive impairments and neurodevelopmental deficits (<xref ref-type="bibr" rid="B112">Mazzucchelli et al., 2002</xref>; <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref>; <xref ref-type="bibr" rid="B76">Indrigo et al., 2023</xref>). Other examples include the presence of different members of the T-Box family (TBX6 in 16p11.2, TBX1 in 22q11.2), implicated in embryogenesis and development, and members of the H3.3 histone chaperone complex HIRA (HIRA on 22q11.2, HIRIP3 on 16p11.2) responsible for chromatin remodelling and gene transcription.</p>
<p>Behavioural phenotypes, often observed in both DEL and DUP carriers, are in the domain of speech, intellectual disability, and autistic traits, with DUP carriers bearing greater cognitive impairments in full-scale IQ, verbal IQ, and performance IQ compared with DEL carriers (<xref ref-type="bibr" rid="B20">Chawner et al., 2021</xref>). Importantly, both DEL and DUP carriers have a significant risk of developing seizures, suggesting that an altered brain development may lead to changes in the excitation/inhibition balance. In addition, DUP carriers may be susceptible to psychosis and bipolar disorder that are generally absent in DEL carriers (<xref ref-type="bibr" rid="B154">Rein and Yan, 2020</xref>).</p>
<p>Here, we describe the pathological phenotypes, and we review the recent literature on cellular and animal models of 16p11.2 CNVs. We subsequently hypothesize a link between the genes in the 16p11.2 region and their effect on specific molecular pathways. We also suggest potential interventions to rescue the deficits affecting 16p11.2 CNVs carriers.</p>
</sec>
<sec id="s2">
<title>Clinical profile of 16p11.2 CNVs</title>
<p>CNVs on 16p11.2 chromosomic region were first correlated to autism spectrum disorder after a large study on a patients&#x2019; database in 2008, with a frequency of three in 10000 (<xref ref-type="bibr" rid="B204">Weiss et al., 2008</xref>). Deletions (DEL) occur <italic>de novo</italic> in most cases (71%), while duplications (DUP) are mainly familial (<xref ref-type="bibr" rid="B30">D&#x27;Angelo et al., 2016</xref>). Variations in the 16p11.2 locus lead to heterogeneous clinical effects, including intellectual disability (ID), autism (ASD), attention deficit hyperactivity disorder (ADHD), epilepsy, language and motor delays (<xref ref-type="bibr" rid="B204">Weiss et al., 2008</xref>; <xref ref-type="bibr" rid="B170">Shinawi et al., 2010</xref>; <xref ref-type="bibr" rid="B68">Hanson et al., 2015</xref>; <xref ref-type="bibr" rid="B30">D&#x27;Angelo et al., 2016</xref>; <xref ref-type="bibr" rid="B62">Green Snyder et al., 2016</xref>; <xref ref-type="bibr" rid="B173">Steinman et al., 2016</xref>; <xref ref-type="bibr" rid="B127">Niarchou et al., 2019</xref>; <xref ref-type="bibr" rid="B154">Rein and Yan, 2020</xref>), which appear in different proportions between DEL and DUP patients (reviewed in (<xref ref-type="bibr" rid="B132">Oliva-Teles et al., 2020</xref>)). Moreover, duplications constitute an additional risk factor for schizophrenia (SCZ) (<xref ref-type="bibr" rid="B114">McCarthy et al., 2009</xref>; <xref ref-type="bibr" rid="B170">Shinawi et al., 2010</xref>; <xref ref-type="bibr" rid="B127">Niarchou et al., 2019</xref>; <xref ref-type="bibr" rid="B213">Zarrei et al., 2019</xref>; <xref ref-type="bibr" rid="B154">Rein and Yan, 2020</xref>).</p>
<p>In the context of 16p11.2 CNVs, ASD and SCZ are often considered as opposite conditions of dosage-dependent modifications of gene expression (<xref ref-type="bibr" rid="B27">Crespi et al., 2010</xref>). In addition, cognitive studies showed that the 16p11.2 deletion is strongly associated with impaired verbal IQ, deficits in verbal letter and category fluency tests, consistently to autism symptomatology, while duplication affects spatial working memory and executive functions (<xref ref-type="bibr" rid="B172">Stefansson et al., 2014</xref>), as observed in schizophrenic patients (<xref ref-type="bibr" rid="B142">Park and Holzman, 1992</xref>). In other cases, 16p11.2 deletion and duplication similarly affect cognition, but with different severity degrees. For instance, duplications are usually characterised by higher variance, suggesting the possible contribution of additional familial factors (<xref ref-type="bibr" rid="B30">D&#x27;Angelo et al., 2016</xref>; <xref ref-type="bibr" rid="B127">Niarchou et al., 2019</xref>). The body mass index (BMI) and the brain size are also differently affected in DEL and DUP carriers, and negatively correlate with gene dosage (<xref ref-type="bibr" rid="B114">McCarthy et al., 2009</xref>; <xref ref-type="bibr" rid="B80">Jacquemont et al., 2011</xref>; <xref ref-type="bibr" rid="B219">Zufferey et al., 2012</xref>; <xref ref-type="bibr" rid="B151">Qureshi et al., 2014</xref>; <xref ref-type="bibr" rid="B108">Martin-Brevet et al., 2018</xref>), as well as facial dysmorphisms (<xref ref-type="bibr" rid="B170">Shinawi et al., 2010</xref>). From a neuroanatomical point of view, patients affected by 16p11.2 CNVs display structural abnormalities similar to those described in NDDs. More specifically, magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) studies on DEL children reported increased white matter volume and fibre density, with reduced orientation dispersion in the callosum and internal/external capsules, compared to healthy controls (<xref ref-type="bibr" rid="B135">Owen et al., 2014</xref>). The opposite effect was observed in DUP carriers (<xref ref-type="bibr" rid="B19">Chang et al., 2016</xref>). Altogether, these observations are consistent with the ASD phenotype and other NDDs (<xref ref-type="bibr" rid="B135">Owen et al., 2014</xref>; <xref ref-type="bibr" rid="B19">Chang et al., 2016</xref>). Importantly, the observed changes in fibre density affect the development and function of connections between brain areas involved in language, locomotion, and socio-emotional behaviours (<xref ref-type="bibr" rid="B105">Maillard et al., 2024</xref>).</p>
<p>However, 16p11.2 DEL and DUP carriers also share common pathological phenotypes, such as epilepsy. This is typically observed during the first year of life, easily responds to antiepileptic medications, and usually decreases in severity or disappears during childhood (<xref ref-type="bibr" rid="B170">Shinawi et al., 2010</xref>).</p>
</sec>
<sec id="s3">
<title>Animal models of 16p11.2 deletion and duplication</title>
<p>The clinical profile associated with 16p11.2 CNVs is very heterogeneous and suggests the presence of multifactorial effects in determining the pathological phenotypes of 16p11.2 DEL and DUP carriers. The systematic evaluation of animal models carrying the 16p11.2 CNVs has allowed a deeper investigation of the cellular and molecular pathways involved in the pathophysiology of 16p11.2 CNVs, as well as the specific functions of the genes within the 16p11.2 locus. In the human genome, the 16p11.2 locus is a region of approximately 600kb, defined by breakpoints 4 and 5 (BP4-BP5), which is conserved on mouse syntenic region located on chromosome 7F3 (<xref ref-type="bibr" rid="B154">Rein and Yan, 2020</xref>). The BP4-BP5 common rearrangements encompass 27 unique protein coding-genes (see <xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="fig" rid="F1">Figure 1</xref>) and multiple copies of BOLA2/2B, SLX1A/1B, SULT1A3/4 and NPIP.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>List of genes within the 16p11.2 chromosomal region, relative functions, and involvement in the 16p11.2 CNVs.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Gene</th>
<th align="center">Full name</th>
<th align="center">OMIM ID</th>
<th align="center">Function</th>
<th align="center">Involvement in 16p11.2 CNVs</th>
<th align="center">Refs</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="center">SPN</td>
<td rowspan="2" align="center" style="color:#222222">Sialophorin</td>
<td rowspan="2" align="center" style="color:#222222">182160</td>
<td rowspan="2" align="left" style="color:#222222">T-cells activation in immune function</td>
<td align="left" style="color:#222222">Overexpressed in regions with decreased fiber density in male 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref> (PMID: 29844452)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Correlates with reduced lymphocytes count in 16p11.2 DEL patients presenting a concomitant low dosage of BOLA2 duplicone</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B57">Giannuzzi et al., 2022</xref> (PMID: 35715439); <xref ref-type="bibr" rid="B58">Giannuzzi et al., 2019</xref> (PMID: 31668704)</td>
</tr>
<tr>
<td align="center">QPRT</td>
<td align="center" style="color:#222222">Quinolinate phosphoribosyltransferase</td>
<td align="center" style="color:#222222">606248</td>
<td align="left" style="color:#222222">Catabolism of quinolinate during NAD synthesis</td>
<td align="left" style="color:#222222">Altered QPTR gene dosage influences neuronal differentiation and excitatory/inhibitory network development</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B69">Haslinger et al., 2018</xref> (PMID: 30443311)</td>
</tr>
<tr>
<td align="center">C16orf54</td>
<td align="center" style="color:#222222">Chromosome 16 open reading frame 54</td>
<td align="center" style="color:#222222">Not available</td>
<td align="left" style="color:#222222">Unknown, found dysregulated in various tumours</td>
<td align="left" style="color:#222222">Unknown</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B40">Du et al., 2022</xref> (PMID: 36118669); <xref ref-type="bibr" rid="B37">Ding et al., 2023</xref> (PMID: 37766321)</td>
</tr>
<tr>
<td align="center">ZG16</td>
<td align="center" style="color:#222222">Zymogen granule protein 16</td>
<td align="center" style="color:#222222">617311</td>
<td align="left" style="color:#222222">Putative immune checkpoint inhibitor in cancer</td>
<td align="left" style="color:#222222">ZG16 deletion in mice is associated with increased size of different brain areas</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B88">Kretz et al., 2023</xref> (PMID: 37968726); <xref ref-type="bibr" rid="B116">Meng et al., 2022</xref> (PMID: 35831911)</td>
</tr>
<tr>
<td rowspan="3" align="center">KIF22</td>
<td rowspan="3" align="center" style="color:#222222">Kinesin family member 22</td>
<td rowspan="3" align="center" style="color:#222222">603213</td>
<td rowspan="3" align="left" style="color:#222222">Regulator of mitotic spindle, microtubule stability and CDC25C expression</td>
<td align="left" style="color:#222222">Involved in movement defects and deficient axon development in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Required for synaptic wiring in <italic>Drosophila</italic> neuromuscular junction</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B143">Park et al., 2016</xref> (PMID: 26924931)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Highly expressed in progenitors, potential involvement in neurogenesis</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B123">Morson et al., 2021</xref> (PMID: 33825894)</td>
</tr>
<tr>
<td rowspan="2" align="center">MAZ</td>
<td rowspan="2" align="center" style="color:#222222">MYC-associated zinc finger protein</td>
<td rowspan="2" align="center" style="color:#222222">600999</td>
<td rowspan="2" align="left" style="color:#222222">Transcription factor, involved in gene expression and signal transduction</td>
<td align="left" style="color:#222222">Involved in movement defects in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Regulates the differentiation of neuronal/glial profiles during CNS development via interaction with various signalling pathways</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B134">Ortabozkoyun et al., 2022</xref> (PMID: 35145304); <xref ref-type="bibr" rid="B67">Haller et al., 2018</xref> (PMID: 29432158); <xref ref-type="bibr" rid="B115">Medina Martinez et al., 2020</xref> (PMID: 32571845); <xref ref-type="bibr" rid="B123">Morson et al., 2021</xref> (PMID: 33825894)</td>
</tr>
<tr>
<td rowspan="2" align="center">PRRT2</td>
<td rowspan="2" align="center" style="color:#222222">Proline Rich Transmembrane Protein 2</td>
<td rowspan="2" align="left" style="color:#222222">614386</td>
<td rowspan="2" align="left" style="color:#222222">Synapse formation during development, regulation of presynaptic Ca2&#x2b; influx and neurotransmitter release</td>
<td align="left" style="color:#222222">Enriched in Drd2&#x2b; MSNs in 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID: 24794428)</td>
</tr>
<tr>
<td align="left" style="color:#222222">PRRT2 mutations are associated with benign familial infantile seizures and autistic developmental regression by 15 months of age</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B215">Zhang et al., 2024</xref> (PMID: 38406554)</td>
</tr>
<tr>
<td rowspan="6" align="center">PAGR1a</td>
<td rowspan="6" align="center" style="color:#222222">Pax-interacting protein 1-associated glutamate rich protein 1a</td>
<td rowspan="6" align="center" style="color:#222222">612033</td>
<td rowspan="6" align="left" style="color:#222222">Component of the histone methyltransferase MLL2/MLL3 complex, possible role in DNA damage response</td>
<td align="left" style="color:#222222">Correlation with ataxia and seizures in 16p11.2 DEL patients</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B137">Padmanabha et al., 2024</xref> (PMID: 38091792); <xref ref-type="bibr" rid="B192">Vlaskamp et al., 2019</xref> (PMID: 30125676)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Correction of PRRT2 copy number in 16p11.2 DUP mice corrects neural circuits defects, seizure susceptibility and social deficits</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B52">Forrest et al., 2023</xref> (PMID: 36808153)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Highly expressed in neural progenitors</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B123">Morson et al., 2021</xref> (PMID: 33825894)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Homozygous missense mutation in PAGR1a gene is associated with a severe neurodevelopmental phenotype</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B33">Daum et al., 2022</xref> (PMID: 34585832)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Mice lacking one copy of Pagr1a show abnormal development of extraembryonic tissues</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B89">Kumar et al., 2014</xref> (PMID: 24633704)</td>
</tr>
<tr>
<td align="left" style="color:#222222">In Zebrafish, loss of function of Pagr1a is associated with reduced brain ventricle size and less defined midbrain-hindbrain boundary</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td rowspan="4" align="center">MVP</td>
<td rowspan="4" align="center" style="color:#222222">Major vault protein</td>
<td rowspan="4" align="center" style="color:#222222">605088</td>
<td rowspan="4" align="left" style="color:#222222">Main component of the vault organelle; potential scaffold for ERK and PI3K/AKT/mTOR signalling</td>
<td align="left" style="color:#222222">MVP loss of function is associated with abnormal body length and defective neural tube in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">MVP is overexpressed in regions with increased functional anisotropy in males 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref> (PMID: 29844452)</td>
</tr>
<tr>
<td align="left" style="color:#222222">MVP is responsible for sex-specific structural changes in the striatum of male 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B84">Kim et al., 2024</xref> (PMID: 38278994)</td>
</tr>
<tr>
<td align="left" style="color:#222222">MVP is a main driver of brain neuroanatomical phenotypes</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B88">Kretz et al., 2023</xref> (PMID: 37968726)</td>
</tr>
<tr>
<td rowspan="2" align="center">CDIPT</td>
<td rowspan="2" align="center" style="color:#222222">CDP-diacylglycerol&#x2013;inositol 3-phosphatidyltransferase</td>
<td rowspan="2" align="center" style="color:#222222">605893</td>
<td rowspan="2" align="left" style="color:#222222">Catalyzes the biosynthesis of phosphatidylinositol</td>
<td align="left" style="color:#222222">CDIPT knock-down in <italic>Drosophila</italic> leads to altered development of the neuromuscular junction</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref> (PMID: 29959322)</td>
</tr>
<tr>
<td align="left" style="color:#222222">A missense mutation in CDIPT gene in Zebrafish is associated with cataract and lack of cone photoreceptors</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B124">Murphy et al., 2011</xref> (PMID: 21722635)</td>
</tr>
<tr>
<td rowspan="2" align="center">SEZ6L2</td>
<td rowspan="2" align="center" style="color:#222222">Seizure-related 6 homolog like 2</td>
<td rowspan="2" align="center" style="color:#222222">616667</td>
<td rowspan="2" align="left" style="color:#222222">Transmembrane protein required by Cathepsin D for its endosome/lysosome localization; regulates neurite outgrowth</td>
<td align="left" style="color:#222222">Enriched in Drd2&#x2b; MSNs in 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID: 24794428)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Overexpressed in regions with increased functional anisotropy in male 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref> (PMID: 29844452); <xref ref-type="bibr" rid="B84">Kim et al., 2024</xref> (PMID: 38278994)</td>
</tr>
<tr>
<td align="left">ASPHD1</td>
<td align="center" style="color:#222222">Aspartate beta-hydroxylase domain containing 1</td>
<td align="center" style="color:#222222">Not available</td>
<td align="left" style="color:#222222">Unknown</td>
<td align="left" style="color:#222222">Unknown</td>
<td align="left" style="color:#222222">Not available</td>
</tr>
<tr>
<td rowspan="6" align="center">KCTD13</td>
<td rowspan="6" align="center" style="color:#222222">Potassium channel tetramerization domain containing 13</td>
<td rowspan="6" align="center" style="color:#222222">608947</td>
<td rowspan="6" align="left" style="color:#222222">Forms a complex with Cul3 ubiquitin E3 ligase to target RhoA for ubiquitination and degradation</td>
<td align="left" style="color:#222222">Loss of function of KCTD13 causes deficient axon tracts in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">KCTD13 suppression induces macrocephaly, while its overexpression induces microcephaly in Zebrafish, in epistasis with MAPK3 and MVP</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B59">Golzio et al., 2012</xref> (PMID: 22596160)</td>
</tr>
<tr>
<td align="left" style="color:#222222">KCTD13 interacts with ciliopathy-associated genes in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B118">Migliavacca et al., 2015</xref> (PMID: 25937446)</td>
</tr>
<tr>
<td align="left" style="color:#222222">KCTD13 KO mice show a reduction of dendritic lenght, complexity and spine density due to increased RhoA levels</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B43">Escamilla et al., 2017</xref> (PMID: 29088697)</td>
</tr>
<tr>
<td align="left" style="color:#222222">KCTD13 knockdown causes seizure phenotypes decreased complexity in dendritic arborization. KCTD13 KO <italic>Drosophila</italic> show aberrant axonal-sympathetic targeting</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref> (PMID: 29959322)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Enriched in Drd2&#x2b; MSNs in 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID: 24794428)</td>
</tr>
<tr>
<td align="center">TMEM219</td>
<td align="center" style="color:#222222">Transmembrane protein 219</td>
<td align="center" style="color:#222222">620290</td>
<td align="left" style="color:#222222">Mediates apoptosis and tumour suppression in prostate and breast cancer. Inhibits oxidant-induced apoptosis in the lung and induces TGF-&#x3b2;1 by interacting with chitinase-3-like-1</td>
<td align="left" style="color:#222222">Unknown</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B78">Ingermann et al., 2010</xref> (PMID: 20353938); <xref ref-type="bibr" rid="B97">Lee et al., 2016</xref> (PMID: 27629921)</td>
</tr>
<tr>
<td rowspan="5" align="center">TAOK2</td>
<td rowspan="5" align="center" style="color:#222222">TAO kinase 2</td>
<td rowspan="5" align="center" style="color:#222222">613199</td>
<td rowspan="5" align="left" style="color:#222222">Role in dendritic arborization and synapse maturation</td>
<td align="left" style="color:#222222">TAOK2 knock-down is associated with increased complexity of dendritic arbor in <italic>Drosophila</italic>
</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref> (PMID: 29959322)</td>
</tr>
<tr>
<td align="left" style="color:#222222">TAOK2 is overexpressed in regions with increased functional anisotropy in male 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref> (PMID: 29844452)</td>
</tr>
<tr>
<td align="left" style="color:#222222">TAOK2 is responsible for sex-specific structural changes in the striatum of male 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B84">Kim et al., 2024</xref> (PMID: 38278994)</td>
</tr>
<tr>
<td align="left" style="color:#222222">TAOK2 heterozygous deletion in mice causes a reduction in RhoA activity leading to neurodevelopmental and behavioural deficits</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B156">Richter et al., 2019</xref> (PMID: 29467497)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Ectopic expression of TAOK2&#x3b1; in 16p11.2 DEL mice rescues migration deficits of cortical neurons</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B162">Scharrenberg et al., 2022</xref> (PMID: 36123424)</td>
</tr>
<tr>
<td align="center">HIRIP3</td>
<td align="center" style="color:#222222">HIRA interacting protein 3</td>
<td align="center" style="color:#222222">603365</td>
<td align="left" style="color:#222222">Unknown, part of the histone H3.3 chaperone complex with HIRA</td>
<td align="left" style="color:#222222">Loss of function of HIRIP3 produces movement defects in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td rowspan="2" align="center">INO80e</td>
<td rowspan="2" align="center" style="color:#222222">Ino80 complex subunit E</td>
<td rowspan="2" align="center" style="color:#222222">Not available</td>
<td rowspan="2" align="left" style="color:#222222">Unknown, potential involvement in chromatin remodelling and DNA replication</td>
<td align="left" style="color:#222222">Loss of function of Ino80e in Zebrafish is linked to abnormal body length and defective neural tube</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Specifically overexpressed in regions with decreased fiber density in male 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref> (PMID: 29844452)</td>
</tr>
<tr>
<td rowspan="2" align="center">DOC2A</td>
<td rowspan="2" align="center" style="color:#222222">Double C2-like domain-containing protein, alpha</td>
<td rowspan="2" align="center" style="color:#222222">604567</td>
<td rowspan="2" align="left" style="color:#222222">Ca<sup>2&#x2b;</sup> sensor involved in neurotransmitter release, mainly expressed in glutamatergic neurons</td>
<td align="left" style="color:#222222">DOC2A-KO mice show abnormal morphology in the dentate gyrus neurons, defective neural activity in the hippocampus, repetitive behaviours and social deficits</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B200">Wang et al., 2023</xref> (PMID: 37354460)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Specifically overexpressed in regions with decreased fiber density in male DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref> (PMID: 29844452)</td>
</tr>
<tr>
<td align="center">C16orf92</td>
<td align="left" style="color:#222222">Chromosome 16 open reading frame 92</td>
<td align="center" style="color:#222222">618911</td>
<td align="left" style="color:#222222">Testis-specific protein required for oocyte-sperm fusion</td>
<td align="left" style="color:#222222">Unknown</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B54">Fujihara et al., 2020</xref> (PMID: 32395885)</td>
</tr>
<tr>
<td rowspan="3" align="center">FAM57b</td>
<td rowspan="3" align="center" style="color:#222222">Family with sequence similarity 57, member B</td>
<td rowspan="3" align="center" style="color:#222222">615175</td>
<td rowspan="3" align="left" style="color:#222222">Mediates the production of lactosylceramide</td>
<td align="left" style="color:#222222">Fam57b loss of function in Zebrafish causes movement defects in, no response to touch and deficient axon tracts</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Fam57b knock-down in <italic>Drosophila</italic> causes abnormal growth development of the neuromuscular junction</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref> (PMID: 29959322)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Enriched in Drd2&#x2b; MSNs in 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID: 24794428)</td>
</tr>
<tr>
<td rowspan="3" align="center">ALDOA</td>
<td rowspan="3" align="center" style="color:#222222">Aldolase A, fructose-bisphosphate</td>
<td rowspan="3" align="center">103850</td>
<td rowspan="3" align="left">Glycolitic enzyme catalyzing the conversion of fructose-1,6-bisphosphate to glyceraldehyde 3-phosphate and dihydroxyacetone phosphate</td>
<td align="left">ALDOA loss of function in Zebrafish is associated with no response to touch</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">ALDOA knock-down in <italic>Drosophila</italic> is associated with a reduction in climbing ability, defects in cell counts and patterning of different cell types</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref> (PMID: 29959322)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Highly expressed in neural progenitors</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B123">Morson et al., 2021</xref> (PMID: 33825894)</td>
</tr>
<tr>
<td rowspan="2" align="center">PPP4C</td>
<td rowspan="2" align="center" style="color:#222222">Protein phosphatase 4, catalytic subunit</td>
<td rowspan="2" align="center" style="color:#222222">602035</td>
<td rowspan="2" align="left" style="color:#222222">Regulation of microtubule growth, DNA damage checkpoint recovery, apoptosis and TNF-alpha signalling</td>
<td align="left" style="color:#222222">PPP4C loss of function causes movement defects in Zebrafish and deficient axon tracts</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">PPP4C is specifically overexpressed in regions with decreased fiber density in male 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref> (PMID: 29844452)</td>
</tr>
<tr>
<td rowspan="2" align="center">TBX6</td>
<td rowspan="2" align="center">T-box 6</td>
<td rowspan="2" align="center" style="color:#222222">602427</td>
<td rowspan="2" align="left" style="color:#222222">TBX6-dependent regulation of SOX2 is involved in the specification of paraxial mesoderm</td>
<td align="left" style="color:#222222">16p11.2 DUP patients and mice have increased risk of congenital vertebral malformations</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B155">Ren et al., 2020</xref> (PMID: 31888956)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Heterozygous loss of function of TBX6 in humans and mice is associated with congenital anomalies of the kidney and urinary tract (CAKUT)</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B210">Yang et al., 2020</xref> (PMID: 32450157)</td>
</tr>
<tr>
<td align="center">YPEL3</td>
<td align="center" style="color:#222222">Yippee-like 3 (<italic>Drosophila</italic>)</td>
<td align="center" style="color:#222222">609724</td>
<td align="left" style="color:#222222">Member of putative Zinc-finger motif containing proteins, p53-regulated tumour suppressor</td>
<td align="left" style="color:#222222">YPEL3 loss of function is linked with abnormal brain morphology in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="center">GDPD3</td>
<td align="center" style="color:#222222">Glycerophosphodiester phosphodiesterase domain- containing protein 3</td>
<td align="center" style="color:#222222">616318</td>
<td align="left" style="color:#222222">Lysophospholipase activity</td>
<td align="left" style="color:#222222">GDPD3 loss of function produces abnormal brain morphology in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td rowspan="4" align="center">MAPK3</td>
<td rowspan="4" align="center" style="color:#222222">Mitogen-activated protein kinase 3</td>
<td rowspan="4" align="center" style="color:#222222">601795</td>
<td rowspan="4" align="left" style="color:#222222">Protein kinase implicated in cell proliferation, synaptic and behavioural plasticity</td>
<td align="left" style="color:#222222">Loss of function of MAPK3 produces abnormal body length, deficient axon tracts and defective neural tubes in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">MAPK3 knock-down causes reductions in climbing ability in <italic>Drosophila</italic> and seizure phenotype; the knock-out is associated with aberrant axonal-synaptic targeting</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref> (PMID: 29959322)</td>
</tr>
<tr>
<td align="left" style="color:#222222">ERK1 is hyperphosphorylated in male 16p11.2 DEL mice during reward learning</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B63">Grissom et al., 2018</xref> (PMID: 29038598)</td>
</tr>
<tr>
<td align="left" style="color:#222222">ERK1/2 activity is elevated in 16p11.2 DEL mice. Treatment with Ras-ERK inhibitors rescues cortical cytoarchitectural and behavioural deficits</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref> (PMID: 29934348)</td>
</tr>
<tr>
<td rowspan="3" align="center">CORO1a</td>
<td rowspan="3" align="center" style="color:#222222">Coronin, actin-binding protein 1A</td>
<td rowspan="3" align="center" style="color:#222222">605000</td>
<td rowspan="3" align="left" style="color:#222222">T lymphocyte trafficking and survival</td>
<td align="left" style="color:#222222">Correlates with reduced lymphocytes count in 16p11.2 DEL patients presenting a concomitant low dosage of BOLA2 duplicone</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B57">Giannuzzi et al., 2022</xref> (PMID: 35715439)</td>
</tr>
<tr>
<td align="left" style="color:#222222">CORO1a loss of function causes abnormal body length, defective neural tube, deficient axon tracts and movement defects in Zebrafish</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref> (PMID: 22566537)</td>
</tr>
<tr>
<td align="left" style="color:#222222">Enriched in Drd2&#x2b; MSNs in 16p11.2 DEL mice</td>
<td align="left" style="color:#222222">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID: 24794428)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Schematic representation of the 16p11.2 locus containing 27 protein-coding genes. Non-coding RNAs mapping on this region are also listed in the rex boxes.</p>
</caption>
<graphic xlink:href="fphar-15-1407865-g001.tif"/>
</fig>
<p>So far, 3&#xa0;mouse models for 16p11.2 deletion (DEL) have been generated, carrying the heterozygous deletion in the Slx1b-Sept1 region (Mills model) (<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref>), in the Coro1a-Spn region (Dolmetsch model) (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>) or in the Sult1a1-Spn region (Herault model) (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). Two mouse models for 16p11.2 duplication (DUP) are currently available, carrying the heterozygous duplication in the Slx1b-Sept1 region (Mills model) (<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref>) or in the Sult1a1-Spn region (Herault model) (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). Despite the presence of similar phenotypes, these mouse models also show some differences which might be partly explained by the different targeting regions on chromosome 7, as highlighted in (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). Here and in <xref ref-type="table" rid="T2">Table 2</xref>, we summarize the main phenotypes observed in DEL and DUP animal models.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Main phenotypes of 16p11.2 CNVs mouse models.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Model</th>
<th align="left">Engineered region</th>
<th align="left">Phenotypes</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="25" align="left">Mills deletion</td>
<td rowspan="25" align="left">Slx1b-Sept1</td>
<td align="left">
<bold>Neuroanatomical and metabolic phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref> (PMID 21969575); <xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref> (PMID 25698753)</td>
</tr>
<tr>
<td align="left">Decreased brain size and cortical thickness</td>
</tr>
<tr>
<td align="left">Reduction of upper cortical layers neurons</td>
<td align="left">
<xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref> (PMID 25698753); <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref> (PMID 29934348)</td>
</tr>
<tr>
<td align="left">Increased volumes of midbrain, hypothalamus, striatum, nucleus accumbens, globus pallidus and cerebellar cortex</td>
<td align="left">
<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref> (PMID 21969575); <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref> (PMID 29934348)</td>
</tr>
<tr>
<td align="left">Decreased volumes of ventral hippocampus, lateral septum, amygdala and enthorinal cortex</td>
<td align="left">
<xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref> (PMID 29934348)</td>
</tr>
<tr>
<td align="left">Early post-natal mortality; pups show lower body weight</td>
<td align="left">
<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref> (PMID 21969575)</td>
</tr>
<tr>
<td align="left">
<bold>Signalling alterations</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B63">Grissom et al., 2018</xref> (PMID 29038598)</td>
</tr>
<tr>
<td align="left">Males overexpress mRNA for D2 receptors and adenosine 2a receptor in the striatum</td>
</tr>
<tr>
<td align="left">
<bold>Neurophysiological phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B201">Wang et al., 2018</xref> (PMID 29853627)</td>
</tr>
<tr>
<td align="left">Deficient NMDAR-mediated glutamatergic transmission in the mPFC</td>
</tr>
<tr>
<td align="left">Compromised connectivity on the orbitofrontal, insular and auditory axis, and between the septum and hippocampus</td>
<td align="left">
<xref ref-type="bibr" rid="B133">Openshaw et al., 2023</xref> (PMID 37225770)</td>
</tr>
<tr>
<td align="left">
<bold>Behavioural phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref> (PMID 21969575); <xref ref-type="bibr" rid="B3">Angelakos et al., 2017</xref> (PMID 27739237)</td>
</tr>
<tr>
<td align="left">Higher locomotor activity in familiar environments and stereotyped behaviours</td>
</tr>
<tr>
<td align="left">Initial hypoactivity in novel environments</td>
<td align="left">
<xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref> (PMID 25698753)</td>
</tr>
<tr>
<td align="left">Deficits in righting from upside-down position</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Brunner et al., 2015</xref> (PMID 26273832)</td>
</tr>
<tr>
<td align="left">Impairments in spatial memory</td>
<td align="left">
<xref ref-type="bibr" rid="B201">Wang et al., 2018</xref> (PMID 29853627)</td>
</tr>
<tr>
<td align="left">Deficits in novel object recognition</td>
<td align="left">
<xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref> (PMID 25698753); <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref> (PMID 29934348)</td>
</tr>
<tr>
<td align="left">Deficits in passive avoidance</td>
<td align="left">
<xref ref-type="bibr" rid="B182">Tian et al., 2015</xref> (PMID 25581360)</td>
</tr>
<tr>
<td align="left">Deficits in contextual fear conditioning</td>
<td align="left">
<xref ref-type="bibr" rid="B182">Tian et al., 2015</xref> (PMID 25581360); <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref> (PMID 29934348)</td>
</tr>
<tr>
<td align="left">Deficits in pre-pulse inhibition, but enhanced performance in attentional tasks</td>
<td align="left">
<xref ref-type="bibr" rid="B133">Openshaw et al., 2023</xref> (PMID 37225770)</td>
</tr>
<tr>
<td align="left">Reduced ultrasonic vocalization during male-female interaction</td>
<td align="left">
<xref ref-type="bibr" rid="B175">Stoppel et al., 2017</xref> (PMID 28984295)</td>
</tr>
<tr>
<td align="left">In C57/Bl6 pure background, normal social behaviour in the three-chamber test</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Brunner et al., 2015</xref> (PMID 26273832)</td>
</tr>
<tr>
<td align="left">Male-specific deficits in perinatal communication</td>
<td align="left">
<xref ref-type="bibr" rid="B1">Agarwalla et al., 2020</xref> (PMID 32558237)</td>
</tr>
<tr>
<td align="left">Male-specific sleep deficits</td>
<td align="left">
<xref ref-type="bibr" rid="B3">Angelakos et al., 2017</xref> (PMID 27739237)</td>
</tr>
<tr>
<td align="left">Male-specific deficits in reward learning</td>
<td align="left">
<xref ref-type="bibr" rid="B63">Grissom et al., 2018</xref> (PMID 29038598)</td>
</tr>
<tr>
<td rowspan="16" align="left">Dolmetsch deletion</td>
<td rowspan="16" align="left">Coro1a-Spn</td>
<td align="left">
<bold>Neuroanatomical and metabolic phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID 24794428)</td>
</tr>
<tr>
<td align="left">Increased volumes of midbrain, hypothalamus, striatum, nucleus accumbens, globus pallidus and cerebellar cortex</td>
</tr>
<tr>
<td align="left">Early post-natal mortality; pups show lower body weight</td>
<td align="left">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID 24794428)</td>
</tr>
<tr>
<td align="left">
<bold>Signalling alterations</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID 24794428)</td>
</tr>
<tr>
<td align="left">Increased number of striatopallidal MSNs in the striatum; decreased number of striatonigral MSNs in the cortex and DARPP-32 expressing neurons; increased number of MSNs co-expressing D1 and D2 receptors</td>
</tr>
<tr>
<td align="left">
<bold>Neurophysiological phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID 24794428)</td>
</tr>
<tr>
<td align="left">Increased ratio of AMPA to NMDA receptor-mediated EPSC and increased miniature EPSC frequency</td>
</tr>
<tr>
<td align="left">
<bold>Behavioural phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID 24794428)</td>
</tr>
<tr>
<td align="left">Lack of gait fluidity and tremor</td>
</tr>
<tr>
<td align="left">Higher locomotor activity in familiar environments and stereotyped behaviours</td>
<td align="left">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID 24794428); <xref ref-type="bibr" rid="B207">Yang et al., 2015</xref> (PMID 25663600)</td>
</tr>
<tr>
<td align="left">Initial hypoactivity in novel environments</td>
<td align="left">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID 24794428)</td>
</tr>
<tr>
<td align="left">Deficits in novel object recognition</td>
<td align="left">
<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref> (PMID 24794428); <xref ref-type="bibr" rid="B208">Yang et al., 2015</xref> (PMID 26572653)</td>
</tr>
<tr>
<td align="left">Deficits in novel object location and touchscreen pairwise visual discrimination acquisition and reversal. Unaffected contextual fear conditioning</td>
<td align="left">
<xref ref-type="bibr" rid="B209">Yang et al., 2015</xref> (PMID 26572653)</td>
</tr>
<tr>
<td align="left">Reduced ultrasonic vocalization during male-female interaction</td>
<td align="left">
<xref ref-type="bibr" rid="B207">Yang et al., 2015</xref> (PMID 25663600)</td>
</tr>
<tr>
<td align="left">In C57/Bl6 pure background, normal social behaviour in the three-chamber test</td>
<td align="left">
<xref ref-type="bibr" rid="B208">Yang et al., 2015</xref> (PMID 26066718)</td>
</tr>
<tr>
<td align="left">Impairments in recognition and ultrasonic vocalization are displayed only in standard mixed-genotype housing conditions</td>
<td align="left">
<xref ref-type="bibr" rid="B209">Yang et al., 2015</xref> (PMID 26066718)</td>
</tr>
<tr>
<td rowspan="11" align="left">Herault deletion</td>
<td rowspan="11" align="left">Sult1a-Spn</td>
<td align="left">
<bold>Neuroanatomical and metabolic phenotypes</bold>
</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Decreased skull size and altered skull shape in females</td>
<td align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">Early post-natal mortality; pups and and adults show lower body weight. Higher energy expenditure during dark phase, faster glucose clearance and lower levels of leptin and adiponectin</td>
<td align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">
<bold>Gene expression alterations</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">Gene expression dysregulation, especially in the striatum</td>
</tr>
<tr>
<td align="left">
<bold>Neurophysiological phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">No alterations in hippocampal excitability</td>
</tr>
<tr>
<td align="left">
<bold>Behavioural phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">Higher locomotor activity in familiar environments and stereotyped behaviours; normal motor coordination</td>
</tr>
<tr>
<td align="left">Deficits in novel object recognition</td>
<td align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">Social deficits in the three chamber test only in a mixed C57/Bl6N X C3B background</td>
<td align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td rowspan="17" align="left">Mills duplication</td>
<td rowspan="17" align="left">Slx1b-Sept1</td>
<td align="left">
<bold>Neuroanatomical phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref> (PMID 21969575)</td>
</tr>
<tr>
<td align="left">Trend toward reduced brain volumes in several brain regions</td>
</tr>
<tr>
<td align="left">
<bold>Neurophysiological phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref> (PMID 32099100)</td>
</tr>
<tr>
<td align="left">Hypexcitability of mPFC neurons due to impaired GABAergic transmission. Unchanged glutamatergic transmission</td>
</tr>
<tr>
<td align="left">
<bold>Gene expression alterations</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref> (PMID 32099100)</td>
</tr>
<tr>
<td align="left">Gene expression dysregulation in mPFC neurons, with downregulation of Npas4</td>
</tr>
<tr>
<td align="left">
<bold>Behavioural phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref> (PMID 21969575); <xref ref-type="bibr" rid="B153">Rein et al., 2020</xref> (PMID 32099100)</td>
</tr>
<tr>
<td align="left">Hypolocomotion in novel environments</td>
</tr>
<tr>
<td align="left">In females, hypolocomotion is displayed during home-cage monitoring, while in males it is displayed in novel environments</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref> (PMID 32320645)</td>
</tr>
<tr>
<td align="left">Anxiety behaviour in males</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref> (PMID 32320645)</td>
</tr>
<tr>
<td align="left">Female-specific reduction of pre-pulse inhibition</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref> (PMID 32320645)</td>
</tr>
<tr>
<td align="left">No deficits in pre-pulse inhibition</td>
<td align="left">
<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref> (PMID 32099100)</td>
</tr>
<tr>
<td align="left">Deficits in social approach and in three-chamber test</td>
<td align="left">
<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref> (PMID 32099100)</td>
</tr>
<tr>
<td align="left">Reduced time spent in proximity of cage-mates</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref> (PMID 32320645)</td>
</tr>
<tr>
<td align="left">Impairments in spatial working memory, slower learning and more impulsive responding in the continuous performance task</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref> (PMID 32320645)</td>
</tr>
<tr>
<td align="left">Deficits in temporal order recognition memory</td>
<td align="left">
<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref> (PMID 32099100)</td>
</tr>
<tr>
<td align="left">Unaffected novel object recognition</td>
<td align="left">
<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref> (PMID 32099100)</td>
</tr>
<tr>
<td rowspan="7" align="left">Herault duplication</td>
<td rowspan="7" align="left">Sult1a-Spn</td>
<td align="left">
<bold>Neuroanatomical and metabolic phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">Altered skull shape, but no differences in skull size</td>
</tr>
<tr>
<td align="left">Increased body weight, with lower energy expenditure during light and dark phase, lower glucose clearance and higher levels of leptin</td>
<td align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">
<bold>Behavioural phenotypes</bold>
</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">Hypolocomotion</td>
</tr>
<tr>
<td align="left">Social deficits in the three chamber test only in a mixed C57/Bl6N X C3B background</td>
<td align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
<tr>
<td align="left">Enhanced novel object recognition</td>
<td align="left">
<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref> (PMID 26872257)</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3-1">
<title>16p11.2 DEL mouse models</title>
<sec id="s3-1-1">
<title>16p11.2 DEL mice display metabolic and neuroanatomical alterations</title>
<p>All DEL mouse models are affected by early post-natal mortality and their body weight is significantly lower than wild-type mice (<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref>; <xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>; <xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). In Dolmetsch model, this effect could be corrected by improved nutrition and separation from wild-type littermates (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>). As adults, the body weight of DEL mice is similar to wild-type littermates (<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref>) or reduced (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>; <xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref>; <xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>), showing decreased adiposity (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). This is in contrast with human findings where the 16p11.2 deletion has been associated with a highly penetrant type of obesity (<xref ref-type="bibr" rid="B80">Jacquemont et al., 2011</xref>). Herault model also displays a higher energy expenditure during the dark phase, a faster glucose clearance and lower blood levels of leptin and adiponectin (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>).</p>
<p>Craniofacial dysmorphisms have been reported by (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>), with decreased skull size and altered skull shape in the Herault DEL females. In contrast with humans (<xref ref-type="bibr" rid="B151">Qureshi et al., 2014</xref>), the brain size is modestly reduced in Mills DEL mice during early post-natal development (<xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref>). This phenotype was observed also in Mills DEL adults (<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref>; <xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref>), with no significant changes in the grey matter (<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref>). In addition, cortical thickness is decreased in Mills DEL mice (<xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref>), similarly to human carriers (<xref ref-type="bibr" rid="B106">Maillard et al., 2015</xref>). In particular, this model shows an aberrant cortical cytoarchitecture, with a reduction of upper cortical layer neurons at embryonic day 14.5, probably due to aberrant progenitor proliferation and premature cell cycle exit, leading to depletion of progenitor pools (<xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref>; <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref>). Despite the general reduction in brain size, Mills and Dolmetsch DEL mice show increases in the relative volumes of several brain areas, including the midbrain, hypothalamus, striatum, nucleus accumbens, globus pallidus and cerebellar cortex (<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref>; <xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>; <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref>). Mills DEL mice also exhibit decreased volumes in the ventral hippocampus, lateral septum, amygdala and entorhinal cortex (<xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref>).</p>
</sec>
<sec id="s3-1-2">
<title>16p11.2 DEL mice show dopaminergic signalling dysregulation</title>
<p>Interestingly, data obtained in both Dolmetsch and Mills models suggest major alterations in dopaminergic signalling. For instance, Portmann et al. observed a significant increase in medium spiny neurons expressing dopamine receptor 2 (Drd2&#x2b; MSNs) in the striatum of 16p11.2 DEL neonates, with no changes in medium spiny neurons expressing dopamine receptor 1 (Drd1&#x2b; MSNs) (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>). The observed increase in striatopallidal MSNs in the striatum resulted in a reduced sensitivity to sedation induced by risperidone, a D2 receptor antagonist (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>). Interestingly, an increased number of cells co-expressing Drd1 and Drd2 was observed, suggesting that the 16p11.2 deletion may also affect the process of MSNs specification. In the deep layers of the cortex, Drd1&#x2b; MSNs were significantly decreased as well as DARPP-32 expressing neurons. Moreover, tyrosine-hydroxylase (TH), a rate limiting enzyme in the dopamine (DA) synthesis pathway, was decreased in mesodiencephalic DA cells (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>). Imbalances in the ratio of D1 and D2-expressing MSNs were also observed in adult brains by Grissom et al. In particular, Mills DEL males, but not females, overexpressed the mRNA for D2 receptor and adenosine 2a receptor in the striatum (<xref ref-type="bibr" rid="B63">Grissom et al., 2018</xref>). Interestingly, transcriptomic analysis in Herault DEL model revealed dysregulations in gene expression in DEL mice in different brain regions, with the striatum being more severely impacted (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). This finding may explain some of the motor and cognitive deficits displayed by these animals, dependent on basal ganglia circuitry.</p>
</sec>
<sec id="s3-1-3">
<title>16p11.2 DEL mice display significant changes in the excitability profile of MSNs and cortical pyramidal neurons, as well as compromised connectivity between different brain regions</title>
<p>The presence of major alterations in dopamine-mediated circuits is further supported by electrophysiological recordings on striatal MSNs from Dolmetsch DEL mice. These studies revealed an increased ratio of AMPA to NMDA receptor-mediated excitatory post synaptic currents (EPSC) and an increased miniature EPSC (mEPSC) frequency. Conversely, the paired-pulse ratios (PPRs) across multiple interstimulus intervals (ISIs) were significantly decreased (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>). These results suggest that the release probability of excitatory synapses on MSNs may be augmented.</p>
<p>In the hippocampus, no alterations were found in the excitability profile in Herault DEL model (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). However, in the medial prefrontal cortex (mPFC) of Mills DEL mice, pyramidal neurons displayed deficient NMDA-receptor-mediated glutamatergic transmission and reduced frequency of action potential (AP) firing (<xref ref-type="bibr" rid="B201">Wang et al., 2018</xref>). Compromised functional connectivity on the orbitofrontal, insular and auditory axis, and between the septum and the hippocampal regions, has been also reported in Mills DEL mice (<xref ref-type="bibr" rid="B133">Openshaw et al., 2023</xref>).</p>
</sec>
<sec id="s3-1-4">
<title>16p11.2 DEL mice recapitulates some of the behavioural deficits affecting human carriers</title>
<p>At the behavioural level, mild motor impairments have been observed in 16p11.2 DEL mice, such as deficits in righting from upside-down position (Mills DEL model) (<xref ref-type="bibr" rid="B14">Brunner et al., 2015</xref>) and lack of gait fluidity and tremor (Dolmetsch DEL model) (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>). However, normal motor coordination in the rotarod test was reported in Herault DEL model (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). Higher locomotor activity in familiar environments and stereotyped behaviours have also been broadly reported in all models (<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref>; <xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>; <xref ref-type="bibr" rid="B209">Yang et al., 2015c</xref>; <xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>; <xref ref-type="bibr" rid="B3">Angelakos et al., 2017</xref>). However, when tested in novel environments, such as in the open field test, both Dolmetsch and Mills DEL mice showed initial hypoactivity that gradually disappeared over the course of the first 10&#xa0;min (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>; <xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref>) which might reflect deficits in motor initiation (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>) or increased anxiety, as shown by Pucilowska et al., in the elevated plus maze test (<xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref>).</p>
<p>DEL mice also display a wide range of cognitive deficits, including impairments in spatial memory (Mills DEL model) (<xref ref-type="bibr" rid="B201">Wang et al., 2018</xref>), novel object recognition (Mills, Dolmetsch and Herault DEL models) (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>; <xref ref-type="bibr" rid="B208">Yang et al., 2015b</xref>; <xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref>; <xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>; <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref>), novel object location (Dolmetsch DEL model) (<xref ref-type="bibr" rid="B208">Yang et al., 2015b</xref>) and passive avoidance (Mills DEL model) (<xref ref-type="bibr" rid="B182">Tian et al., 2015</xref>). Dolmetsch DEL model also exhibited prominent cognitive impairments in the touchscreen pairwise visual discrimination acquisition and reversal (<xref ref-type="bibr" rid="B208">Yang et al., 2015b</xref>), while deficits in contextual fear conditioning have been observed in Mills DEL model (<xref ref-type="bibr" rid="B182">Tian et al., 2015</xref>; <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref>), but not in Dolmetsch DEL model (<xref ref-type="bibr" rid="B208">Yang et al., 2015b</xref>). Consistently with the impaired fronto-temporal connectivity and GABAergic dysfunction observed by Openshaw et al., Mills DEL mice showed deficits in pre-pulse inhibition (PPI), a measure of sensorimotor gating, but enhanced performance in attentional tasks (<xref ref-type="bibr" rid="B133">Openshaw et al., 2023</xref>).</p>
<p>In terms of social behaviour, ultrasonic vocalizations during male-female interactions are significantly reduced in DEL mice (Mills and Dolmetsch DEL models) (<xref ref-type="bibr" rid="B209">Yang et al., 2015c</xref>; <xref ref-type="bibr" rid="B174">Stoppel et al., 2018</xref>), that could be rescued upon chronic activation of GABA<sub>B</sub> receptors (<xref ref-type="bibr" rid="B174">Stoppel et al., 2018</xref>). Unexpectedly, all DEL models display normal behaviour in the three-chamber social preference test, in contrast with the social deficits affecting human carriers (<xref ref-type="bibr" rid="B207">Yang et al., 2015a</xref>; <xref ref-type="bibr" rid="B14">Brunner et al., 2015</xref>; <xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). This could be partially due to the aberrant increase of oxytocin levels exhibited by the Mills DEL mice (<xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref>) that may mask potential social deficits. In addition, the genetic background can profoundly influence the manifestation of social impairments. As demonstrated by Arbogast et al., a significant decrease in social preference for the second stranger in the three-chamber test can be observed in Herault DEL model with a hybrid C57/Bl6N X C3B background, but not in mice with a pure C57/Bl6N background (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). Housing conditions also seem to affect the emergence of social and cognitive deficits. For instance, impairments in recognition memory and ultrasonic vocalisation are displayed by Dolmetsch DEL mice only in standard mixed-genotypes housing conditions, but not by animals housed with individuals of the same genotype (<xref ref-type="bibr" rid="B207">Yang et al., 2015a</xref>).</p>
<p>Despite the higher prevalence of autism spectrum disorder in males, sex-specific phenotypes have not been systematically investigated in DEL mice. Kumar et al. found prominent male-specific structural changes in medial fibre tracts proximate to the striatum, overlapping with specific gene expression patterns associated with neurite outgrowth and MAPK pathway (Mills DEL model) (<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref>). At the behavioural level, male-specific deficits in perinatal communication have been observed (Mills DEL model) (<xref ref-type="bibr" rid="B1">Agarwalla et al., 2020</xref>). Consistently with ASD and ADHD patients&#x2019; phenotypes, male-specific sleep/wake decrements in total sleep time and longer bouts of continuous wakefulness have been reported (Mills DEL model) (<xref ref-type="bibr" rid="B3">Angelakos et al., 2017</xref>). Moreover, Mills DEL males display reduced motivation and impaired reward learning, which is consistent with the observed increase in the mRNA coding for dopamine D2 receptors associated with behavioural inhibition (<xref ref-type="bibr" rid="B63">Grissom et al., 2018</xref>).</p>
</sec>
</sec>
<sec id="s3-2">
<title>16p11.2 DUP mouse models</title>
<sec id="s3-2-1">
<title>16p11.2 DUP mice show opposite metabolic and neuroanatomical phenotypes in comparison with the 16p11.2 DEL mice</title>
<p>In comparison with DEL mice, DUP mice show opposite phenotypes in terms of body weight and metabolism, with increased body size, lower energy expenditure during the light and dark phase, a lower glucose clearance and higher blood levels of leptin (Herault model) (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). Craniofacial dysmorphisms have also been observed in DUP mice, showing altered skull shape but no changes in the skull size (Herault model) (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>). At the neurostructural level, DUP mice are not significantly different from wild types, although a trend toward reduced volumes in several brain regions can be observed (Mills model) (<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref>).</p>
</sec>
<sec id="s3-2-2">
<title>16p11.2 DUP mice display some behavioural deficits reminiscent of those observed in human carriers</title>
<p>In contrast with DEL mice, both Herault and Mills DUP mice display hypolocomotion (<xref ref-type="bibr" rid="B74">Horev et al., 2011</xref>; <xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref>; <xref ref-type="bibr" rid="B153">Rein et al., 2020</xref>) with potential sex-differences. Hypo locomotion was observed in Mills DUP females only during home cage monitoring whereas males exhibited this behaviour in the novel environment of the open field arena. This observation may indicate that additional factors, such as the levels of stress, may have an impact on sex-specific phenotypes. These results are also consistent with the increased anxiety behaviour observed only in males, possibly linked to the reduced hippocampal-orbitofrontal-amygdala connectivity (<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref>). Importantly, this circuitry has been implicated in thought disorder, a hallmark of schizophrenia (<xref ref-type="bibr" rid="B177">Sumner et al., 2018</xref>). In Mills DUP mice, typical phenotypes linked to schizophrenia, such as MK-801-induced hyperlocomotion and deficits in pre-pulse inhibition, were not observed by Rein et al. (<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref>), although there is a report of female-specific reduction of pre-pulse inhibition (<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref>). Mills DUP model also displays social impairments reminiscent of ASD, including deficits in social approach and in the three-chamber test (<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref>) as well as reduced time spent in proximity with cage mates (<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref>). In contrast, in Herault DUP model, social deficits in the three-chamber test could be observed only in the hybrid C57/Bl6N X C3B background, similarly to the DEL mice (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>).</p>
<p>Consistently with the observed deficits in hippocampal-orbitofrontal-amygdala connectivity, Mills DUP mice display impairments in spatial working memory (<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref>), that have been also reported in DUP human carriers (<xref ref-type="bibr" rid="B163">Schobel et al., 2009</xref>). Similarly to the deficits observed in patients in the continuous performance task (<xref ref-type="bibr" rid="B49">Fleck et al., 2001</xref>), Mills DUP mice show slower learning and more impulsive responding (<xref ref-type="bibr" rid="B13">Bristow et al., 2020</xref>), as well as prefrontal cortex-dependent cognitive impairments in the temporal order recognition memory (<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref>). Novel object recognition memory was either found unaffected by the CNV (<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref>) or significantly enhanced (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>), possibly due to the different models and experimental protocols used in these studies.</p>
</sec>
<sec id="s3-2-3">
<title>16p11.2 DUP mice display major GABAergic dysfunctions, mediated by the transcription factor Npas4</title>
<p>In contrast with DEL mice showing hypoactivity in the mPFC neurons, Mills DUP mice display hyperexcitability due to a significant impairment in GABAergic synaptic transmission, while glutamatergic transmission was found unchanged (<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref>). This is consistent to the excitatory/inhibitory imbalance observed in ASD patients (<xref ref-type="bibr" rid="B125">Nelson and Valakh, 2015</xref>).</p>
<p>In order to determine the effect of the 16p11.2 duplication on gene expression, Rein et al. performed RNA-sequencing on mPFC and identified 388 differentially expressed genes, most of which were downregulated, including epigenetic markers, ASD/ID risk genes and the sodium ion channel SCN9a. A significant downregulation was detected for Npas4, a transcription factor promoting the formation of GABAergic synapses, that was found reduced also in post-mortem PFCs from idiopathic ASD patients (<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref>). Restoration of Npas4 levels in Mills 16p11.2 DUP mice was sufficient to rescue the synaptic and behavioural deficits, thus suggesting the pathogenic role of Npas4 in the GABAergic dysfunction underlying the 16p11.2 DUP phenotype (<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref>).</p>
</sec>
</sec>
<sec id="s3-3">
<title>Other animal models</title>
<sec id="s3-3-1">
<title>16p11.2 DEL and DUP rat models</title>
<p>Rat models for 16p11.2 CNVs have also been generated recapitulating craniofacial phenotypes, with mirror effects between the DEL and the DUP conditions (<xref ref-type="bibr" rid="B150">Qiu et al., 2019</xref>). Converging and male-specific deficits in social behaviour and novel object recognition have been also observed in 16p11.2 DEL and DUP rats in two different genetic backgrounds (<xref ref-type="bibr" rid="B110">Martin Lorenzo et al., 2023</xref>). RNA sequencing analysis in the hippocampus found 267 differentially expressed genes dysregulated in DEL and DUP rat models. Among these genes, 100 were downregulated and 120 upregulated in both models, which could explain some overlapping phenotypes, independent from gene dosage. Differential functional analysis revealed 23 upregulated pathways in both DEL and DUP rats, associated with morphogenesis of the primary cilium. However, pathways related to synaptic function and metabolism were mostly deregulated in DEL rats, while pathways associated with transcription, epigenomic regulation and hormone regulation were mostly affected in DUP animals (<xref ref-type="bibr" rid="B110">Martin Lorenzo et al., 2023</xref>).</p>
<p>Recently, Yang et al. carried out anatomical and electrophysiological analysis of developing interneurons in 16p11.2 DEL rats, after the identification of a subset of interneurons in human foetal cerebral cortex potentially vulnerable to genetic autism risk factors. In 16p11.2 DEL rats at P21, the number or position of INs was unchanged in either CA1 or somatosensory cortex. However, somatostatin-expressing INs in CA1 display hyperexcitability, with an enlarged axon initial segment. This finding, although limited to a single developmental stage and one type of INs, supports the idea that the 16p11.2 deletion may perturb the electrophysiological properties of developing INs, thereby affecting the excitation/inhibition (E/I) balance (<xref ref-type="bibr" rid="B211">Yang et al., 2023</xref>).</p>
</sec>
</sec>
<sec id="s3-4">
<title>Zebrafish and <italic>Drosophila melanogaster</italic> models</title>
<p>A deeper characterization of the effects of 16p11.2 CNVs at the cellular level has been achieved using more simplified animal models, allowing a high-throughput analysis of the interaction between genetic and phenotypic effects. For instance, the first 5 days of development in Zebrafish recapitulate the first weeks of development in mice and the first couple of years in humans, thus allowing to detect abnormalities in brain structures or functions that become obvious only after birth (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>). Among the 27 protein-coding genes in the 16p11.2 region, 21 are also present in Zebrafish. This model has been used to discover dosage-sensitive genes within the 16p11.2 locus by selective induced loss of function (LOF) or overexpression experiments. By performing LOF studies from 24&#xa0;h post-fertilization to post-natal day 5, covering a period from 5-week gestation to toddlerhood in humans, Blaker-Lee et al. revealed that most of the 16p11.2 genes are highly active during early development and are involved in brain and body development. Selective LOF of 16p11.2 homologs was associated with spontaneous movement defects and reduced or no response to touch, possibly linked to the observed abnormalities in axonal development (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>). Using similar approaches, KCTD13 (see <xref ref-type="table" rid="T1">Table 1</xref>) was identified as a major driver of head size phenotypes, which were consistent with those observed in DEL and DUP human carriers. In particular, KCTD13 suppression induced macrocephaly in Zebrafish embryos resembling the 16p11.2 DEL condition, whereas its overexpression caused microcephaly with concomitant defects in neurogenesis, in epistasis with two other genes in the locus, MAPK3 and MVP (<xref ref-type="bibr" rid="B59">Golzio et al., 2012</xref>). In addition, a genetic interaction was demonstrated between KCTD13 and ciliopathy-associated genes (<xref ref-type="bibr" rid="B118">Migliavacca et al., 2015</xref>).</p>
<p>
<italic>Drosophila melanogaster</italic>, which has at least 14 homologs of human 16p11.2 genes, has also been employed to test the role of these individual genes and their combinatorial effects in determining the variegated phenotypes observed in DEL and DUP human carriers (<xref ref-type="bibr" rid="B143">Park et al., 2016</xref>; <xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref>). By genetic screening and RNA interference approaches, KIF22, a member of kinesin family (see <xref ref-type="table" rid="T1">Table 1</xref>), was identified as a key factor required for the establishment of synaptic connectivity in <italic>Drosophila</italic> neuromuscular junction (<xref ref-type="bibr" rid="B143">Park et al., 2016</xref>). By performing knock-down of single homologs and 564 pairwise knockdowns, Iyer et al. identified 24 interactions between 16p11.2 homologs and 46 interactions between 16p11.2 homologs and neurodevelopmental genes. In particular, they observed impaired motor functions and spontaneous seizures, as well as alterations in the architecture of <italic>Drosophila</italic> neuromuscular junction and dendritic arborization, consistently with the phenotypes observed in human carriers. Moreover, several homologs contributed in different proportion to the cellular composition of the fly eye, probably intervening at different timepoints during cellular proliferation and differentiation. In general, the data from Iyer et al. suggest that several genes within the 16p11.2 region are involved in neurodevelopment and their reciprocal interaction is responsible for the heterogeneous phenotypes observed in patients (<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Cellular models of 16p11.2 deletion and duplication</title>
<p>Recent advances in stem cell technologies opened the possibility to investigate neurodevelopmental disorders using patient-derived induced pluripotent stem cells (iPSCs). For instance, Deshpande et al. used iPSCs-derived forebrain cortical neurons to investigate the cellular mechanisms underlying differences in brain size associated with 16p11.2 CNVs. DEL neural progenitors display increased soma size and dendritic length as well as a more extensive arborization. In contrast, DUP neurons show opposing phenotypes. The larger neuronal size in the DEL condition was associated to altered functional properties, such as reduced excitability and membrane resistance, while the DUP neurons did not significantly deviate from controls. Interestingly, DUP neurons displayed increased outward potassium current, to stabilize their intrinsic excitability. Both DEL and DUP neurons showed less excitatory synapses with increased synaptic strength, that may underlie the altered network activity and behavioural deficits in human carriers (<xref ref-type="bibr" rid="B35">Deshpande et al., 2017</xref>).</p>
<p>Neuronal firing and synchrony have been found reduced in iPSCs-derived excitatory neurons harbouring the 16p11.2 duplication, in later stages of development, along with reduced dendrite length and impaired calcium homeostasis (<xref ref-type="bibr" rid="B144">Parnell et al., 2023</xref>). These findings were recapitulated in excitatory neurons derived from DUP patients with schizophrenia, thus linking excitatory neurons dysfunctions with schizophrenia pathogenesis. Transcriptomic analysis carried out on excitatory neurons after 7 weeks maturation identified 62 upregulated and 133 downregulated genes, associated with calcium ion binding and neuron projections development (<xref ref-type="bibr" rid="B144">Parnell et al., 2023</xref>).</p>
<p>Similarly to cortical neurons, iPSCs-derived dopaminergic neurons from DEL patients also displayed increased soma size. However, in contrast with the cortical neurons&#x2019; phenotype, these morphological changes correlated with increased hyperexcitability of DEL dopaminergic neurons. Interestingly, DEL dopaminergic neurons show reduced levels of KCDT13 and overexpression of RHOA, a molecular pathway also upregulated in KCDT13 heterozygous and in 16p11.2 DEL mice (<xref ref-type="bibr" rid="B43">Escamilla et al., 2017</xref>; <xref ref-type="bibr" rid="B111">Martin Lorenzo et al., 2021</xref>). Treatment with RHOA inhibitor could rescue the cell size and hyperexcitability of DEL dopaminergic neurons, thus implicating RHOA pathway in dopaminergic network excitability (<xref ref-type="bibr" rid="B178">Sundberg et al., 2021</xref>).</p>
<p>Macrocephaly in DEL carriers was recently found associated with hyperproliferation of iPSCs-derived neural progenitors, that was inversely correlated with ERK1/2 phosphorylation and response to basic fibroblast growth factor (bFGF), a mitogen that activates ERK pathway (<xref ref-type="bibr" rid="B24">Connacher et al., 2022</xref>). In contrast, two previous studies did not detect any differences in cell proliferation at the early stage of cortical progenitors (<xref ref-type="bibr" rid="B35">Deshpande et al., 2017</xref>; <xref ref-type="bibr" rid="B178">Sundberg et al., 2021</xref>). Brain overgrowth in the 16p11.2 deletion syndrome has been potentially linked to overexpression of CD47 in both neural and oligodendrocyte progenitor cells. CD47 is a &#x201c;do not eat me&#x201d; signal protein, thus preventing cells from getting engulfed or phagocytosed by macrophages and microglia (<xref ref-type="bibr" rid="B99">Li et al., 2021</xref>).</p>
<p>To date, two studies employed cerebral organoids to investigate the effects of the 16p11.2 deletion on brain development (<xref ref-type="bibr" rid="B186">Urresti et al., 2021</xref>; <xref ref-type="bibr" rid="B47">Fetit et al., 2023</xref>). Importantly, DEL and DUP cortical organoids could recapitulate the brain size phenotypes. In addition, DEL cortical organoids exhibited increased neuronal maturation, soma size and neurite length as well as depletion of neural progenitors, in comparison with control and DUP organoids. However, neuronal migration was significantly impaired in both DEL and DUP organoids. When looking at KCTD3 and total RHOA levels, the authors found decreased KCTD3 and increased RHOA levels in DEL organoids, while the DUP organoids showed opposite trends. However, the active GTP-bound form of RHOA was consistently upregulated in both CNVs, that was previously linked with impaired neuronal migration (<xref ref-type="bibr" rid="B18">Cappello et al., 2012</xref>). Consistently, the observed defects in neuronal migration in both DEL and DUP organoids could be rescued by RHOA inhibition (<xref ref-type="bibr" rid="B186">Urresti et al., 2021</xref>).</p>
<p>The effects of 16p11.2 CNVs on interneurons development was recently investigated by Fetit et al. Ventral organoids harbouring the 16p11.2 deletion were more variable in size compared with the isogenic controls (<xref ref-type="bibr" rid="B47">Fetit et al., 2023</xref>). This variability could be relevant when considering the clinical heterogenicity of DEL human carriers (<xref ref-type="bibr" rid="B48">Fetit et al., 2020</xref>). In addition, the authors found a substantial acceleration of subpallial development in DEL organoids, potentially leading to premature differentiation (<xref ref-type="bibr" rid="B47">Fetit et al., 2023</xref>).</p>
</sec>
<sec id="s5">
<title>Role of the 16p11.2 genes</title>
<p>The purpose of this section is to review the specific functions of the genes within the 16p11.2 region and how they might interact in specific molecular pathways, thus determining the phenotypic effects observed in patients, animal, and cellular models. As listed in <xref ref-type="table" rid="T1">Table 1</xref>, 27 protein-coding genes are involved in 16p11.2 CNVs. Some of them have been well characterised in animal and cellular models created to recapitulate the phenotypes observed in DEL and DUP patients. Other 16p11.2 genes still have unknown function, and their role in the pathogenesis of 16p11.2-associated diseases is obscure. We will describe a small subset of genes clearly involved in the 16p11.2 associated phenotypes (MAPK3, KDCT13, MVP, TAOK2 and SEZ6l2) and thus potential therapeutic targets. Subsequently, we will describe the 16p11.2 genes with known cellular functions, but not yet linked to the 16p11.2 DEL and DUP pathologies. Then, we will briefly list the limited information available for the least characterised genes. Finally, we will consider non-coding RNAs that are located within the 16p11.2 region but have not yet been linked to specific cellular functions (see <xref ref-type="table" rid="T3">Table 3</xref>; <xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>List of non-coding RNAs mapping on the 16p11.2 region.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">
<italic>Non-coding RNA</italic>
</th>
<th align="left">
<italic>Length</italic>
</th>
<th align="left">
<italic>Start-end locations on chromosome 16 (basepairs)</italic>
</th>
<th align="left">
<italic>Proximity to genes in the locus</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">microRNA hsa-mir-3680 precursor (hsa-mir-3680&#x2013;1, hsa-mir-3680&#x2013;2)</td>
<td align="left">
<italic>87 nucleotides</italic>
</td>
<td align="left" style="color:#333333">
<italic>21,506,049&#x2013;21,506,135</italic>&#xa0;<italic>29,599,179&#x2013;29,599,265</italic>
</td>
<td align="left">
<italic>Next to SPN</italic>
</td>
</tr>
<tr>
<td align="left">
<bold>hsa-miR-3680-3p</bold>
</td>
<td align="left">
<italic>22 nucleotides</italic>
</td>
<td align="left"/>
<td align="left">
<italic>Next to SPN</italic>
</td>
</tr>
<tr>
<td align="left">
<bold>hsa-miR3680-5p</bold>
</td>
<td align="left">
<italic>21 nucleotides</italic>
</td>
<td align="left"/>
<td align="left">
<italic>Next to SPN</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D57034/9606">HSALNT0385266</ext-link>Possible ORF</td>
<td align="left">
<italic>1921 nucleotides</italic>
</td>
<td align="left">
<italic>29,862,659&#x2013;29,868,081</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0002347D84/9606">HSALNT0385275</ext-link>
</td>
<td align="left">
<italic>746 nucleotides</italic>
</td>
<td align="left" style="color:#212529">
<italic>29,862,659&#x2013;29,868,120</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D5C8E8/9606">HSALNT0385268</ext-link>Possible ORF</td>
<td align="left">
<italic>1649 nucleotides</italic>
</td>
<td align="left">
<italic>29,862,849&#x2013;29,868,081</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D5D872/9606">HSALNT0385269</ext-link>Possible ORF</td>
<td align="left">
<italic>1078 nucleotides</italic>
</td>
<td align="left">
<italic>29,862,849&#x2013;29,868,048</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0002341456/9606">HSALNT0385276</ext-link>
</td>
<td align="left">
<italic>893 nucleotides</italic>
</td>
<td align="left" style="color:#333333">
<italic>29,863,289&#x2013;29,868,050</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS000233814B/9606">HSALNT0385277</ext-link>
</td>
<td align="left">
<italic>855 nucleotides</italic>
</td>
<td align="left" style="color:#333333">
<italic>29,863,289&#x2013;29,868,050</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0002343B12/9606">HSALNT0385278</ext-link>
</td>
<td align="left">
<italic>938 nucleotides</italic>
</td>
<td align="left" style="color:#333333">
<italic>29,863,292&#x2013;29,868,051</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000EBC57D/9606">HSALNT0229585</ext-link>
</td>
<td align="left">
<italic>629 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,336&#x2013;29,868,048</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D5B6E6/9606">non-protein coding lnc-MVP-3:1</ext-link>Possible ORF</td>
<td align="left">
<italic>491 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,551&#x2013;29,865,434</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D56FCC/9606">non-protein coding lnc-MVP-3:2</ext-link>
</td>
<td align="left">
<italic>620 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,551&#x2013;29,868,050</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D587F7/9606">non-protein coding lnc-MVP-3:3</ext-link>Possible ORF</td>
<td align="left">
<italic>652 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,578&#x2013;29,868,048</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D58881/9606">non-protein coding lnc-MVP-3:4</ext-link>Possible ORF</td>
<td align="left">
<italic>1025 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,578&#x2013;29,868 050</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D5C3F3/9606">non-protein coding lnc-MVP-3:5</ext-link>Possible ORF</td>
<td align="left">
<italic>741 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,578&#x2013;29,868,050</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS00003045EF/9606">non-protein coding lnc-MVP-3:7</ext-link>Possible ORF</td>
<td align="left">
<italic>726 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,593&#x2013;29,868,050</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2 Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS000077A37C/9606">non-protein coding lnc-MVP-3:8</ext-link>Possible ORF</td>
<td align="left">
<italic>729 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,593&#x2013;29,868,053</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<bold>HSALNT0229588</bold>
</td>
<td align="left">
<italic>845 nucleotides</italic>
</td>
<td align="left" style="color:#333333">
<italic>29,863,614&#x2013;29,868,048</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<bold>HSALNT0229589</bold>
</td>
<td align="left">
<italic>949 nucleotides</italic>
</td>
<td align="left" style="color:#333333">
<italic>29,863,614&#x2013;29,868,048</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">non-protein coding lnc-MVP-3:9</td>
<td align="left">
<italic>589 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,674&#x2013;29,867,994</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D5AA4C/9606">non-protein coding lnc-MVP-3:10</ext-link>
</td>
<td align="left">
<italic>785 nucleotides</italic>
</td>
<td align="left" style="color:#333333">
<italic>29,863,674&#x2013;29,868,048</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D576A9/9606">non-protein coding lnc-MVP-3:11</ext-link>
</td>
<td align="left">
<italic>495 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,674&#x2013;29,868,048</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D5876D/9606">non-protein coding lnc-MVP-3:12</ext-link>
</td>
<td align="left">
<italic>891 nucleotides</italic>
</td>
<td align="left" style="color:#333333">
<italic>29,863,674&#x2013;29,868,050</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS00008B561F/9606">non-protein coding lnc-MVP-3:13</ext-link>
</td>
<td align="left">
<italic>639 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,683&#x2013;29,868,053</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS000075B86B/9606">CDIP transferase opposite strand, pseudogene, transcript variant 1 (CDIPTOSP</ext-link>)</td>
<td align="left">
<italic>782 nucleotides</italic>
</td>
<td align="left" style="color:#212529">
<italic>29,863,683&#x2013;29,868,053</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS000233EB91/9606">HSALNT0385279</ext-link>
</td>
<td align="left">
<italic>582 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,684&#x2013;29,868,035</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0002340A77/9606">HSALNT0385280</ext-link>
</td>
<td align="left">
<italic>639 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,789&#x2013;29,868,120</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS000075B5C9/9606">CDIP transferase opposite strand, pseudogene, transcript variant 2 (CDIPTOSP</ext-link>)</td>
<td align="left">
<italic>659 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,834&#x2013;29,868,053</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<bold>N</bold>
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS000036904A/9606">on-protein coding lnc-MVP-3:14</ext-link>
</td>
<td align="left">
<italic>756 nucleotides</italic>
</td>
<td align="left" style="color:#212529">
<italic>29,863,834&#x2013;29,868,047</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS00008B7AE4/9606">non-protein coding lnc-MVP-3:15</ext-link>
</td>
<td align="left">
<italic>762 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,834&#x2013;29,868,053</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS00008B7F2D/9606">non-protein coding lnc-MVP-3:16</ext-link>
</td>
<td align="left">
<italic>705 nucleotides</italic>
</td>
<td align="left" style="color:#212529">
<italic>29,863,847&#x2013;29,868,047</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS000233B449/9606">HSALNT0385274</ext-link>
</td>
<td align="left">
<italic>529 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,848&#x2013;29,868,020</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D57606/9606">non-protein coding lnc-MVP-3:18</ext-link>
</td>
<td align="left">
<italic>738 nucleotides</italic>
</td>
<td align="left" style="color:#212529">
<italic>29,863,852&#x2013;29,868,047</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D58288/9606">non-protein coding lnc-MVP-3:19</ext-link>
</td>
<td align="left">
<italic>852 nucleotides</italic>
</td>
<td align="left" style="color:#333333">
<italic>29,863,852&#x2013;29,868,048</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D5BD33/9606">non-protein coding lnc-MVP-3:20</ext-link>Possible ORF</td>
<td align="left">
<italic>1062 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,852&#x2013;29,868,050</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org/rna/URS0000D58563/9606">non-protein coding lnc-MVP-3:6</ext-link>Possible ORF</td>
<td align="left">
<italic>799 nucleotides</italic>
</td>
<td align="left">
<italic>29,863,852&#x2013;29,868,050</italic>
</td>
<td align="left">
<italic>Between CDIPT and SEZ6L2</italic>
</td>
</tr>
<tr>
<td align="left">
<bold>KCTD13 - divergent transcript</bold>
</td>
<td align="left">
<italic>1762 nucleotides</italic>
</td>
<td align="left">
<italic>29,926,223&#x2013;29,931,080</italic>
</td>
<td align="left">
<italic>Between KCTD13 and Tmem219</italic>
</td>
</tr>
<tr>
<td align="left">
<bold>YPEL 3 - divergent transcript</bold>
</td>
<td align="left">
<italic>9026 nucleotides</italic>
</td>
<td align="left">
<italic>30,096,430&#x2013;30,105,456</italic>
</td>
<td align="left">
<italic>Between YPEL3 and GDPD3</italic>
</td>
</tr>
<tr>
<td align="left">
<bold>Coro1A antisense RNA 1</bold>
</td>
<td align="left">
<italic>1395 nucleotides</italic>
</td>
<td align="left">
<italic>30,183,393&#x2013;30, 184,788</italic>
</td>
<td align="left">
<italic>Between MAPK3 and Coro1A</italic>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s5-1">
<title>MAPK3, MVP, Sez6l2, TAOK2, KCDT13 all potentially modulate cell signalling in 16p11.2 deletion models</title>
<p>MAPK3 codes for the extracellular signal-regulated kinase 1 (ERK1), a p44 protein kinase acting as a major signal transduction component of the Ras-Raf-Mek-ERK cascades (<xref ref-type="fig" rid="F2">Figure 2</xref>). Interestingly, the MAPK1 gene, coding for p42 ERK2 kinase, is found in the distal portion of the 22q11.2 CNV region, another common chromosomal rearrangement implicated in NDD (<xref ref-type="bibr" rid="B191">Vithayathil et al., 2018</xref>; <xref ref-type="bibr" rid="B122">More et al., 2020</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Schematic representation of potential signalling Interactions among four key 16p11.2 CNV genes. MAPK3 (ERK1), TAOK2, KCDT13 and MVP may interact at the intracellular level in modulating neuroanatomical, synaptic and cognitive functions. Gene dosage alterations present in either 16p11.2 deletion or duplication syndromes could imbalance the coordinated cellular activities of these genes. Multiple receptor systems can activate the Ras-Raf-MEK-ERK1/2 signalling pathway that controls both gene expression and chromatin remodelling. ERK1 (MAPK3) and ERK2 (MAPK1) also interact with the PI3K-AKT-mTORC1 pathway in modulating protein translation. One important aspect of MAPK3/MAPK1 signalling modulation is that MAPK3 gene dosage may shift the balance between the two kinase activities, resulting in different signalling intensities with consequences at the physio-pathological level. Major Vault Protein (MVP) may act as a scaffold protein for both ERK1/2 and mTORC1 signalling, thereby providing additional modulatory control. TAOK2 kinase stimulates multiple cytosolic and nuclear targets, including JNK1/2 and p38 MAP kinases that may interact with the ERK1/ERK2 pathway and the RhoA-ROCK kinase cascade. The action of TAOK2 may inhibit synaptic maturation and protein translation, potentially in opposition to ERK1/2. KCDT13 may facilitate RhoA degradation via CULLIN 3 (CUL3) interactions, also potentially antagonising some of TAOK2 functions. Figure has been created using <ext-link ext-link-type="uri" xlink:href="http://Biorender.com">Biorender.com</ext-link>.</p>
</caption>
<graphic xlink:href="fphar-15-1407865-g002.tif"/>
</fig>
<p>The Ras-ERK signalling cascade has been implicated in a variety of cellular processes, from cell proliferation and cell survival to synaptic and behavioural plasticity (<xref ref-type="bibr" rid="B45">Fasano and Brambilla, 2011</xref>). However, unravelling its wide roles in development and in the adult brain is beyond the scope of this review.</p>
<p>Recent evidence indicates that targeting this pathway via pharmacological intervention may be a way forward to treat at least certain symptoms associated to 16p11.2 deletion and duplication. In order to understand the rationale of the potential therapeutic approaches based on ERK signalling modulation, we need to refer to the competitive model of ERK1 and ERK2 interaction, developed over the years by our laboratory (<xref ref-type="bibr" rid="B112">Mazzucchelli et al., 2002</xref>; <xref ref-type="bibr" rid="B190">Vantaggiato et al., 2006</xref>; <xref ref-type="bibr" rid="B77">Indrigo et al., 2010</xref>; <xref ref-type="bibr" rid="B76">Indrigo et al., 2023</xref>). Based on this model, ERK1 and ERK2 MAP kinases do not signal with the same intensity and, most importantly, they do not translocate into the nucleus at the same rate (<xref ref-type="bibr" rid="B107">Marchi et al., 2008</xref>). In fact, as recently described (<xref ref-type="bibr" rid="B76">Indrigo et al., 2023</xref>), ERK1 delays the entry of ERK2 MAPK, the most abundant of the two kinases, by specifically binding to a class of importins, the &#x3b1;1/KPNA2 group. This interaction occurs via the unique N-terminal domain of ERK1 to KPNA2 since this binding can be prevented by the administration of a cell penetrating TAT peptide coupled with the same ERK1 N-term domain. Either the downregulation of ERK1 expression/activity, via gene knock-out, viral mediated silencing, or via <italic>in vivo</italic> administration of the RB5 peptide results in neuronal survival, cognitive enhancement and increased structural and synaptic plasticity. Those remarkable effects are the direct cause of a global enhancement of ERK signalling in the brain (<xref ref-type="bibr" rid="B76">Indrigo et al., 2023</xref>).</p>
<p>Gene dosage of ERK1/MAPK3 is therefore a crucial determinant of the overall ERK1/2 activity. Following this reasoning, we originally speculated that ERK1/2 activity would be increased in a hemideleted condition, such as the 16p11.2 DEL. Using mouse models of the DEL condition, this prediction has been confirmed (<xref ref-type="bibr" rid="B148">Pucilowska et al., 2015</xref>). Importantly, in the DEL model, changes in cortical development and behavioural impairments have been rescued by treatments during embryonic development with inhibitory peptides of the Ras-ERK cascade (<xref ref-type="bibr" rid="B139">Papale et al., 2016</xref>; <xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref>). The pharmacological treatment during gestation not only fully rescue those functional alterations but also brings back ERK1/2 activity to normal levels, as expected (<xref ref-type="bibr" rid="B147">Pucilowska et al., 2018</xref>). Interestingly, a later treatment during adulthood only partially improves behavioural deficits in the DEL model, suggesting that an earlier intervention may be preferable to maximise the therapeutic outcome. This evidence indicates that a manipulation of the activity of a single gene within the 16p11.2 locus may be an effective way to treat the deletion syndrome. Ras-ERK inhibitors are among the best characterised drugs available and they have been already tested in clinical trials for cancer therapy and in experimental models, also to rescue aberrant ERK activity in NDDs such as RASopathies (<xref ref-type="bibr" rid="B138">Papale et al., 2017</xref>).</p>
<p>As a mirrored situation, the 16p11.2 duplication syndrome may be characterised by a globally reduced ERK1/2 activity, due to the presence of three copies of MAPK3/ERK1. Currently, there is no published evidence supporting this claim but preliminary evidence in our laboratory suggests that this may be the case.</p>
<p>Additional evidence of the importance of ERK signalling in the 16p11.2 deletion syndrome comes from the observations on striatal dependent reward learning, in which ERK1 MAPK phosphorylation appears to be aberrantly elevated during acquisition of operant behaviour in response to sucrose as natural reward. Importantly, this effect was seen exclusively in males, highlighting the effect in sex-specific effects in NDDs. However, no attempts have been made to rescue this change (<xref ref-type="bibr" rid="B63">Grissom et al., 2018</xref>). Interestingly, in a parallel study on DEL mice linking spatial transcriptomic data and brain structural changes (MRI scans), three genes loosely linked to MAPK signalling were upregulated in DEL male mice only: MVP; Sez6l2; and TAOK2 (<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref>). To further investigate the relevance of such male-specific transcriptional changes, the same research group generated a triple MVP/Sez6l2/TAOK2 hemizygous mutant, using CRISPR/Cas9 technology (<xref ref-type="bibr" rid="B84">Kim et al., 2024</xref>). Interestingly, the triple hemideleted mutant mouse line shows male-specific behavioural alterations, such as hyperlocomotion and reduced reward learning in a progressive (but not fixed) ratio paradigm, largely overlapping with the phenotypes observed in the 16p11.2 DEL mutants. The same triple mutants did show a less pronounced phenotype, with less hyperlocomotion and no reward learning phenotype, when backcrossed in a MAPK3 hemideleted background. This observation is important but is subjected to multiple interpretations, considering the prominent role of MAPK3 and ERK signaling in striatal-dependent operant conditioning and reward learning (<xref ref-type="bibr" rid="B112">Mazzucchelli et al., 2002</xref>; <xref ref-type="bibr" rid="B46">Ferguson et al., 2006</xref>; <xref ref-type="bibr" rid="B42">Engel et al., 2009</xref>; <xref ref-type="bibr" rid="B45">Fasano and Brambilla, 2011</xref>; <xref ref-type="bibr" rid="B169">Shiflett and Balleine, 2011</xref>; <xref ref-type="bibr" rid="B76">Indrigo et al., 2023</xref>). Although ERK1/MAPK3 KO male mice show an enhancement of ERK1/2 signalling and striatal-dependent learning, neither the hemideleted nor the full ERK1/MAPK3 KO mice have been formally tested in the same protocol used by Kim et al. (<xref ref-type="bibr" rid="B84">Kim et al., 2024</xref>). Therefore, it is possible that the MAPK3 partial ablation may counterbalance the effect of the triple MVP/Sez6l2/TAOK2 mutation, effectively &#x201c;rescuing&#x201d; their phenotype by interfering with cell signalling changes. On the other hand, we recently showed that ERK signalling potentiation via pharmacological manipulation only enhances reward-based learning in WT females but not males (<xref ref-type="bibr" rid="B76">Indrigo et al., 2023</xref>). Considering that the treatment mimics ERK1/MAPK3 mutation, ERK1 MAP kinase may indeed play a little role in this specific form of learning in males. As a final note on this aspect, it is important to stress that differences in MAPK3 levels may lead to distinct phenotypes that may be more associated to the 16p11.2 duplication condition, including the higher propensity of the DUP carriers to develop schizophrenia. Indeed, MAPK3 mRNA increase in recent TWAS studies has been recently correlated to higher risk of psychosis and its mRNA levels have been found elevated in the prefrontal cortex of schizophrenic patients (<xref ref-type="bibr" rid="B56">Gandal et al., 2018</xref>; <xref ref-type="bibr" rid="B65">Gusev et al., 2018</xref>; <xref ref-type="bibr" rid="B66">Hall et al., 2020</xref>).</p>
<p>As further evidence supporting the central role of Sez6l2, TAOK2 and MVP, all three proteins have been loosely connected to ERK signalling. Major Vault protein (MVP) was originally discovered as a main component of the vault organelle, a ribonucleoprotein complex found in most eukaryotes (<xref ref-type="bibr" rid="B8">Berger et al., 2009</xref>). MVP is highly abundant in the CNS and considerable evidence has linked its function to growth factor receptors responses, serving as a potential scaffold protein for ERK and PI3K/AKT/mTOR signalling pathways (<xref ref-type="fig" rid="F2">Figure 2</xref>) (<xref ref-type="bibr" rid="B86">Kolli et al., 2004</xref>; <xref ref-type="bibr" rid="B83">Kim et al., 2006</xref>; <xref ref-type="bibr" rid="B39">Dong et al., 2021</xref>; <xref ref-type="bibr" rid="B194">Wakatsuki et al., 2021</xref>).</p>
<p>In a recent report, we investigated how MVP may interact with other 16p11.2 genes in the definition of neuroanatomical phenotypes (NAPs), that are major determinants of brain structural changes and neuronal morphology (<xref ref-type="bibr" rid="B88">Kretz et al., 2023</xref>). Interestingly we found that MVP is the top driver among a set of additional 12 genes within the 16p11.2 region (PPP4C, ZG16, TAOK2, SLX1B, MAZ, Fam57b, BOLA2, TBX6, QPRT, SPN, HIRIP3, and DOC2A) to modulate NAPs in males. Remarkably, neither MAPK3 nor KCTD13 were implicated in NAPs, despite previous work for KCTD13 in Zebrafish suggesting a different scenario (<xref ref-type="bibr" rid="B59">Golzio et al., 2012</xref>). However, MVP and MAPK3 did show interaction in modulating anxiety-like behaviour and drug induced epilepsy, suggesting that these two proteins may work together in some of the pathological behaviours observed in the DEL carriers (<xref ref-type="bibr" rid="B88">Kretz et al., 2023</xref>).</p>
<p>Concerning the TAOK2 gene, accumulating evidence indicates that the Thousand and one amino-acid kinase 2 (TAOK2) gene product plays a central role in neurodevelopment and more specifically in the 16p11.2 deletion syndrome. TAOK2 gene is listed as a category 2-risk gene (strong association) in the SFARI GENE Scoring list (<ext-link ext-link-type="uri" xlink:href="https://gene.sfari.org/database/human-gene/TAOK2">https://gene.sfari.org/database/human-gene/TAOK2</ext-link>). Moreover, whole-genome and exome sequencing of ASD families identified 24 different variants in TAOK2 associated to autism. Importantly, TAOK2 KO mice and their hemideleted counterpart show dose-dependent cognitive deficits, anxiety and social behaviour impairments, as well as abnormalities in brain morphology, cortical development, connectivity, dendrite and synapse formation, all resulting from a reduced excitatory activity (<xref ref-type="bibr" rid="B156">Richter et al., 2019</xref>). These <italic>in vivo</italic> data are all consistent with previous <italic>in vitro</italic> observations. Further evidence suggests that TAOK2 action may require the downstream JNK1 and p38 MAPK signalling activation and induces PSD95 stability and dendritic spine maturation via Septin7 phosphorylation. (<xref ref-type="bibr" rid="B121">Moore et al., 2000</xref>; <xref ref-type="bibr" rid="B218">Zhou et al., 2004</xref>; <xref ref-type="bibr" rid="B212">Yasuda et al., 2007</xref>; <xref ref-type="bibr" rid="B34">de Anda et al., 2012</xref>; <xref ref-type="bibr" rid="B185">Ultanir et al., 2014</xref>; <xref ref-type="bibr" rid="B206">Yadav et al., 2017</xref>). Recent evidence demonstrated that TAOK2 acts as translational repressor by inhibiting the eukaryotic elongation factor eEF2 (<xref ref-type="bibr" rid="B71">Henis et al., 2024</xref>) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<p>Importantly, overexpression of mutated TAOK2&#x3b1; variants, but not the TAOK2&#x3b2; variants, impaired neuronal migration by destabilising microtubules and reduced JNK1 activation. This effect could be replicated in TAOK2 KO brains but also in the heterozygous 16p11.2 DEL animals, that displayed reduced levels of phosphorylated JNK1 and neuronal migration deficits, that could be partially rescued by ectopic expression of TAOK2&#x3b1; in in the developing cortex (<xref ref-type="bibr" rid="B162">Scharrenberg et al., 2022</xref>).</p>
<p>However, another signalling pathway is also central to TAOK2 function in spine formation and stability, at least in the cortex. In fact, RHOA GTPAse activity is significantly reduced in TAOK2 KO and HET mice. Importantly, incubation with RHOA activators increases spine formation in the TAOK2 KO preparations, suggesting a link between the two molecules and indicating that TAOK2 may exploit multiple signalling pathways (i.e., JNK1 and RHOA) to control distinct neurodevelopmental processes (<xref ref-type="bibr" rid="B156">Richter et al., 2019</xref>).</p>
<p>Albeit interesting, the potential role of RHOA signalling in promoting brain function is not entirely consistent with the observation that another 16p11.2 gene, KCTD13, may exert an opposite function. KCTD13 is a member of a superfamily of at least 20 genes forming a complex with CULLIN 3 (CUL3) ubiquitin ligase. These genes have been implicated in several neuropsychiatric conditions (<xref ref-type="bibr" rid="B181">Teng et al., 2019</xref>). Importantly, a major target of the KCTD13-CUL3 complex is indeed RHOA, that is degraded, and its downstream signalling is attenuated in WT condition (<xref ref-type="fig" rid="F2">Figure 2</xref>) (<xref ref-type="bibr" rid="B100">Lin et al., 2015</xref>).</p>
<p>Accordingly, the KCTD13 KO mouse model shows a reduction of the number of functional synapses, with a decrease of dendritic length, complexity, and dendritic spine density due to increased levels of RHOA. These alterations may be reversed by RHOA inhibition rather than RHOA activation (<xref ref-type="bibr" rid="B43">Escamilla et al., 2017</xref>). Additional evidence supports the negative role of RHOA signalling in behavioural deficits in a different KCTD13 KO mouse model, displaying no major differences between homozygous and heterozygous deleted animals and showing strong similarities with the 16p11.2 DEL model (<xref ref-type="bibr" rid="B5">Arbogast et al., 2019</xref>). In this KCTD13 KO model, as well as in the 16p11.2 DEL model, learning and memory deficits could indeed be rescued by an inhibitor of the Rho-associated protein kinase ROCK (<xref ref-type="bibr" rid="B111">Martin Lorenzo et al., 2021</xref>).</p>
<p>It remains to be established whether these contrasting observations about RHOA signalling are real or due to the fact that this molecular pathway is differentially implicated in distinct aspects of the pathology. Certainly, these findings underscore the complexity of the mechanisms associated with the 16p11.2 deletion.</p>
<p>The last gene that has been shown to play a significant role in some of the 16p11.2 deletion phenotypes is Sez6l2. This is a transport receptor transmembrane protein, required by the aspartic protease Cathepsin D for its endosome/lysosome localisation. Inactivating mutations or mislocalization of cathepsin D lead to neuronal dysfunctions including microcephaly, seizures, and cognitive and psychomotor defects. SEZ6L2, also known as BSRP-A (Brain-Specific Receptor A), is predominantly expressed in the brain and has been associated to febrile seizures, bipolar disorder and autism, together with the other two members of the seizure-related gene six family, SEZ6, SEZ6L. Functional studies on SEZ6L2 have also implicated this protein in neurite outgrowth. In addition, the triple mutant of SEZ6, SEZ6L and SEZ6L2 showed cerebellar deficits and a potential link with PKC&#x3b1; signalling activation, thus providing a possible functional link with other genes in the 16p11.2 locus, such as MAPK3, MVP, KCDT13 and TAOK2 (<xref ref-type="bibr" rid="B120">Miyazaki et al., 2006</xref>; <xref ref-type="bibr" rid="B90">Kumar et al., 2009</xref>; <xref ref-type="bibr" rid="B12">Boonen et al., 2016</xref>).</p>
</sec>
<sec id="s5-2">
<title>Genes within the 16p11.2 region with limited functional information available</title>
<sec id="s5-2-1">
<title>SPN</title>
<p>The sialophorin, or CD43, is a glycoprotein expressed on the surface of T lymphocytes promoting adhesion and activation during immune responses. This gene, together with CORO1A and KIF22 have been suggested to play a role in reduced lymphocytes count in 16p11.2 DEL patient presenting a concomitant low dosage of BOLA2 duplicone, located on 16p11.2 BP4-BP5 flanking region (<xref ref-type="bibr" rid="B58">Giannuzzi et al., 2019</xref>; <xref ref-type="bibr" rid="B57">Giannuzzi et al., 2022</xref>). In male 16p11.2 DEL mice, SPN protein is overexpressed mainly in telencephalic and cerebellar regions presenting decreased fiber density (<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref>).</p>
</sec>
<sec id="s5-2-2">
<title>QPRT</title>
<p>The quinolinate phosphoribosyltransferase is a key enzyme involved in the catabolism of quinolinate, an intermediate in the synthesis of nicotinamide adenine dinucleotide (NAD). QPRT-mediated NAD biosynthesis plays a fundamental role in neuronal differentiation and neurite growth during development (<xref ref-type="bibr" rid="B69">Haslinger et al., 2018</xref>; <xref ref-type="bibr" rid="B126">Neves et al., 2022</xref>). QPRT expression is reduced in cell lines derived from 16p11.2 DEL patients, and its knock-down in neuroblastoma cells during differentiation significantly altered neuritic growth and complexity, whereas QPRT knock-out (KO) increased cell death during differentiation (<xref ref-type="bibr" rid="B69">Haslinger et al., 2018</xref>). Furthermore, QPRT KO leads to the downregulation of several genes, including GABRB3, SNTG2, KCNQ, CNTNAP2. These genes are implicated in the formation of GABAergic synapses formation and are associated with ASD and epilepsy (<xref ref-type="bibr" rid="B69">Haslinger et al., 2018</xref>). QPRT also interacts with neuroligin 3 (NLGN3), a postsynaptic transmembrane protein involved in synapse formation and neuron-glia connections which is often found mutated in ASD patients (<xref ref-type="bibr" rid="B166">Shen et al., 2015</xref>).</p>
</sec>
<sec id="s5-2-4">
<title>ZG16</title>
<p>Human zymogen granule protein 16 is highly expressed in mucus-secreting cells its overexpression significantly suppresses tumour growth through T cells-mediated immune response activation (<xref ref-type="bibr" rid="B116">Meng et al., 2022</xref>). Although its role in 16p11.2 CNVs is unclear, it has been correlated with increased size of several brain areas in mice selectively ablated for this single gene (<xref ref-type="bibr" rid="B88">Kretz et al., 2023</xref>).</p>
</sec>
<sec id="s5-2-5">
<title>KIF22</title>
<p>Kinesin family member 22 (KIF22) has been shown to mediate cell proliferation by regulating mitotic spindle, microtubules stability (<xref ref-type="bibr" rid="B183">Tokai et al., 1996</xref>; <xref ref-type="bibr" rid="B184">Tokai-Nishizumi et al., 2005</xref>), as well as the expression of CDC25C, a cell cycle regulator (<xref ref-type="bibr" rid="B128">Nilsson and Hoffmann, 2000</xref>).</p>
<p>Among all genes of 16p11.2 region, KIF22 is specifically enriched in neural progenitors in G2/M phase, while its expression levels significantly decline as cells become post-mitotic (<xref ref-type="bibr" rid="B123">Morson et al., 2021</xref>). During CNS development, KIF22 transcripts are clearly segregated in the ventricular and subventricular zones, where cortical progenitors arise. KIF22, together with ALDOA, HIRIP3, PAGR1, and MAZ are also expressed in the ventricular zone of the ganglionic eminences where interneuron progenitors reside, supporting the hypothesis that 16p11.2 CNVs may disrupt the excitatory and inhibitory components of the developing brain. KIF22 dosage seems to regulate neurogenesis by affecting the length of the cell cycle, thereby determining the proliferative or neurogenic fate of the progenitors. Kif22 gene dosage variations linked to 16p11.2 CNVs would thus affect cell-cycle kinetics and perturb neuronal formation during development (<xref ref-type="bibr" rid="B123">Morson et al., 2021</xref>). In Zebrafish, KIF22 and ALDOA are the only deletion &#x201c;dosage sensor&#x201d; genes for 16p11.2 CNVs, meaning that their functional levels are sensitive to hemizygosity and thus lead to a pathological phenotype. In particular, reduction of KIF22 is associated with abnormal brain morphology and bent tail, as well as deficient axonal development (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>). The same effect on axonal development was observed in <italic>Drosophila</italic>, in which silencing of KIF22 homologs leads to the development of ectopic innervation and off-target recurrent axon branches in the neuromuscular junction (<xref ref-type="bibr" rid="B143">Park et al., 2016</xref>). Interestingly, these results are in agreement with nerve regeneration studies conducted in rats, where Kif22 has been identified as a potential therapeutic target for promoting peripheral nerve injury repair via Schwann cell proliferation and migration (<xref ref-type="bibr" rid="B102">Lu et al., 2022</xref>).</p>
</sec>
<sec id="s5-2-6">
<title>MAZ</title>
<p>The MYC-associated zinc finger protein is a transcription factor involved in several, highly specific, molecular processes related to gene expression and cell cycle, leading to differentiation and developmental effects. During development, MAZ is a cofactor of CTCF during chromatin insulation of active and repressed genes within the Hox clusters (<xref ref-type="bibr" rid="B134">Ortabozkoyun et al., 2022</xref>), specifically involved in the differentiation of motor neurons in vertebrates. Among its targets, MAZ regulates the expression of several WNT morphogens, involved in the correct morphological development of different organs. For instance, MAZ has been related to birth defects in the genitourinary tract, that are commonly observed in the context of 16p11.2 CNVs (<xref ref-type="bibr" rid="B67">Haller et al., 2018</xref>) as well as in eye development, also presenting comorbidity in 16p11.2 DEL and DUP patients (<xref ref-type="bibr" rid="B115">Medina-Martinez et al., 2020</xref>). As KIF22 and ALDOA, MAZ is also enriched in the ventricular and subventricular zones compared to post-mitotic cells, suggesting a role in neurogenesis (<xref ref-type="bibr" rid="B123">Morson et al., 2021</xref>). As a transcription factor, MAZ takes part in the correct synchronization between neurogenesis and NOTCH1 mediated gliogenesis. It is well known that during development, NOTCH1 signalling is downregulated during neurogenesis and activated in gliogenesis, following a specific timing. The upregulation of ADAM10 activates NOTCH1-mediated gliogenesis. Liu and colleagues have demonstrated that MAZ enhances ADAM10 transcription in response to activation factors such as CT-1 in cultured neuronal progenitor cells (NPC) (<xref ref-type="bibr" rid="B101">Liu et al., 2016</xref>). In neuronal stem cells (NSC), MAZ regulates the expression of Rho-GDI&#x3b3;, which in turn modulates the activity of Rho GTPases during neuritogenesis, axon formation and dendritic development in neuronal differentiation (<xref ref-type="bibr" rid="B199">Wang et al., 2013</xref>). Moreover, MAZ activity has been reported to enhance NMDA receptor subunit type 1 (NR1) promoter activity during neuronal differentiation of P19 cells, contributing to the assignment of the correct functional profile to differentiated excitatory neurons (<xref ref-type="bibr" rid="B131">Okamoto et al., 2002</xref>). Thus, changes in MAZ dosage related to 16p11.2 CNVs might be related to structural changes in neuronal/glial tissue balance.</p>
</sec>
<sec id="s5-2-7">
<title>PRTT2</title>
<p>Proline-rich transmembrane protein type 2 (PPRT2) is a membrane protein, located at synaptic contacts, playing a role in synapse formation during development. It is also a crucial component of the neurotransmitters&#x2019; release machinery, by interacting with SNARE proteins and synaptotagmins 1 and 2 (<xref ref-type="bibr" rid="B188">Valtorta et al., 2016</xref>). PRTT2 has been found enriched in Drd2&#x2b; MSNs in 16p11.2 deletion mice, together with KCTD13, Fam57b, Sez6l2 and CORO1A (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>). Mutations in PPRT2 have been associated with paroxysmal movement disorders (<xref ref-type="bibr" rid="B72">Heron and Dibbens, 2013</xref>), benign infantile familial seizures and autistic developmental regression (<xref ref-type="bibr" rid="B215">Zhang et al., 2024</xref>), as well ataxia and seizures in 16p11.2 DEL patients (<xref ref-type="bibr" rid="B192">Vlaskamp et al., 2019</xref>; <xref ref-type="bibr" rid="B137">Padmanabha et al., 2024</xref>). Importantly, correction of PRTT2 copy number in 16p11.2 DUP mice could rescue hypersynchronous activity and enhanced glutamate release in cortical circuits, seizure susceptibility and social deficits (<xref ref-type="bibr" rid="B52">Forrest et al., 2023</xref>).</p>
</sec>
<sec id="s5-2-8">
<title>PAGR1a</title>
<p>Pax-interacting protein 1 is a component of the histone methyltransferase MLL2/MLL3 complex, with possible role in DNA damage response (<xref ref-type="bibr" rid="B22">Cho et al., 2007</xref>; <xref ref-type="bibr" rid="B60">Gong et al., 2009</xref>). This protein, highly expressed in neural progenitors (<xref ref-type="bibr" rid="B123">Morson et al., 2021</xref>), appears to have a role in early embryonal development, as suggested by animal studies. For instance, loss of function of PAGR1a in Zebrafish is associated with reduced brain ventricle size and less defined midbrain-hindbrain boundaries (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>). In addition, null mice for PAGR1a are not viable, while the loss of one copy leads to abnormal development of extraembryonic tissues, such as the amnion, chorion, and visceral yolk sac (<xref ref-type="bibr" rid="B89">Kumar et al., 2014</xref>). A recent clinical report by Daum et al. identified three individuals, carrying a homozygous missense mutation in PAGR1a gene and showing microcephaly, severe developmental delay, dysmorphism, neurological deficits and death in infancy (<xref ref-type="bibr" rid="B33">Daum et al., 2022</xref>).</p>
</sec>
<sec id="s5-2-9">
<title>CDIPT</title>
<p>CDP-Diacylglycerol-Inositol 3-Phosphatidyltransferase (CDIPT) catalyses the biosynthesis of phosphatidylinositol and is highly expressed during foetal and neonatal brain development in rats (<xref ref-type="bibr" rid="B129">Nyquist and Helmkamp, 1989</xref>). CDIPT knock-down in <italic>Drosophila</italic> displays altered growth development of the neuromuscular junction, a model for studying synapse growth defects (<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref>). In addition, a missense mutation in CDIPT gene in Zebrafish causes photoreceptor cells death and cataract (<xref ref-type="bibr" rid="B124">Murphy et al., 2011</xref>).</p>
</sec>
<sec id="s5-2-10">
<title>DOC2A</title>
<p>Double C2-like domain-containing protein alpha (DOC2A) is a cytosolic protein interacting with SNARE complex and phospholipids, acting as a Ca2&#x2b; sensor and mainly expressed in glutamatergic neurons, triggering glutamate release (<xref ref-type="bibr" rid="B26">Courtney et al., 2018</xref>). In the context of neurodevelopmental disorder, it has been found specifically overexpressed in 16p11.2 DEL male mice in brain regions with decreased fiber density (<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref>). Interestingly, DOC2A-KO mice display abnormal morphology of hippocampal neurons in the dentate gyrus, defective hippocampal activity as well as social deficits and repetitive behaviours. DOC2A functions appear to be regulated by the Ca2&#x2b; binding protein Secretagogin (<xref ref-type="bibr" rid="B200">Wang et al., 2023</xref>).</p>
</sec>
<sec id="s5-2-11">
<title>ALDOA</title>
<p>Aldolase A (ALDOA) is a glycolytic enzyme which catalyses the conversion of fructose 1,6-biphosphate into glyceraldehyde 3-phosphate and dihydroxyacetone phosphate. ALDOA is highly expressed in neural progenitors and its expression declines as the cells become post-mitotic (<xref ref-type="bibr" rid="B123">Morson et al., 2021</xref>). It is also part of ERK1/2 interactome during epidermal and neuronal differentiation (<xref ref-type="bibr" rid="B193">von Kriegsheim et al., 2009</xref>). Knock-down studies in <italic>Drosophila</italic> demonstrated the involvement of this gene in the locomotor function, specifically in climbing activity. In addition, ALDOA knock-down produces altered cell counts and patterning of different cell types, including increased photoreceptors neurons and misplaced bristle cells (<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref>). In Zebrafish embryos, ALDOA loss of function is associated with no response to touch (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>).</p>
</sec>
<sec id="s5-2-12">
<title>PPP4C</title>
<p>Protein phosphatase 4, catalytic subunit (PPP4C) plays a role in several cellular processes, such as microtubule growth and organization, DNA damage checkpoint recovery, apoptosis, and TNF-alpha signalling (<xref ref-type="bibr" rid="B21">Chen et al., 2008</xref>). However, its role in the context of 16p11.2 syndromes has not been completely elucidated. It has been found overexpressed in 16p11.2 DEL mice specifically in regions with decreased fiber density (<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref>), while studies in Zebrafish suggest the role of PPP4C in locomotor function and axon growth (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>).</p>
</sec>
<sec id="s5-2-13">
<title>TBX6</title>
<p>T-box transcription factor 6 (TBX6) is a putative DNA-binding protein involved in the specification of paraxial mesoderm via SOX2 regulation (<xref ref-type="bibr" rid="B179">Takemoto et al., 2011</xref>). Heterozygous loss of function of TBX6 gene in human and mice has been associated with congenital anomalies of the kidney and urinary tract (CAKUT), thus relating this gene with the kidney defects often observed in 16p11.2 DEL carriers (<xref ref-type="bibr" rid="B210">Yang et al., 2020</xref>). In addition, the increased incidence of congenital vertebral malformations in 16p11.2 DUP patients could be ascribed to TBX6 dosage, as also suggested by mouse studies (<xref ref-type="bibr" rid="B155">Ren et al., 2020</xref>).</p>
</sec>
<sec id="s5-2-14">
<title>YPEL3</title>
<p>Yippee-like three is a member of putative Zinc-finger motif-coding genes and p53-regulated tumour suppressor (<xref ref-type="bibr" rid="B81">Kelley et al., 2010</xref>). Its role in 16p11.2 syndromes is unknown, although YPEL3 loss of function Zebrafish display abnormal brain morphology (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>).</p>
</sec>
<sec id="s5-2-15">
<title>GDPD3</title>
<p>Glycerophosphodiester phosphodiesterase domain-containing protein 3 (GDPD3) has lysophospholipase activity against several lisophospholipids (<xref ref-type="bibr" rid="B130">Ohshima et al., 2015</xref>). Loss of function Zebrafish for this gene is characterised by abnormalities in brain morphology (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>). To date, no other information is available regarding its specific role in neurodevelopmental disorders.</p>
</sec>
<sec id="s5-2-16">
<title>CORO1A</title>
<p>Coronin 1A (CORO1A) is an actin-binding protein previously associated with lymphocyte trafficking and homeostasis (<xref ref-type="bibr" rid="B50">Foger et al., 2006</xref>). Mutations in this protein have been found in patients with severe combined immunodeficiency (SCID) (<xref ref-type="bibr" rid="B82">Khoreva et al., 2024</xref>). Its function in the context of 16p11.2 CNVs has not been determined yet, although it is associated with low lymphocytes count in 16p11.2 DEL patients (<xref ref-type="bibr" rid="B57">Giannuzzi et al., 2022</xref>). Zebrafish carrying CORO1A loss of functions display abnormal body length, defective neural tubes, deficient axon tracts and movement defects (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>). In 16p11.2 DEL mice, CORO1A is enriched in Drd2&#x2b; MSNs (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>).</p>
</sec>
</sec>
<sec id="s5-3">
<title>Genes with unknown function</title>
<sec id="s5-3-1">
<title>C16orf54</title>
<p>Chromosome 16 open reading frame 54 (C16orf54) is a protein-coding gene expressed in 11 normal tissues and mainly located in the cell membrane. Although its function is unknown, overall C16orf54 appears as a potential marker of the poor prognosis of various tumours, suggesting that C16orf54 may participate in the progression of tumours (<xref ref-type="bibr" rid="B40">Du et al., 2022</xref>). C16orf54 expression is significantly associated with various immune-related pathways, such as PI3K/Akt/mTOR and Wnt/Beta catenin signalling pathways, inflammatory response, and interferon-gamma response (<xref ref-type="bibr" rid="B37">Ding et al., 2023</xref>). However, its specific biological function is still obscure and its role in 16p11.2 CNVs has not been investigated yet.</p>
</sec>
<sec id="s5-3-2">
<title>C16orf92</title>
<p>Chromosome 16 open reading frame 92 (C16orf92) encodes for a testis-specific protein necessary for the fusion between the oocyte and the sperm (<xref ref-type="bibr" rid="B54">Fujihara et al., 2020</xref>). To date, no other information is available regarding additional biological functions or potential association of this protein with neurodevelopmental disorders.</p>
</sec>
<sec id="s5-3-3">
<title>Fam57b</title>
<p>Fam57b consists of three variants upregulated during adipogenesis although at different degrees/timing. Fam57b mediates the production of lactosylceramide upon binding with a circulating metabolite of vitamin D with possible role in bone fracture healing (<xref ref-type="bibr" rid="B109">Martineau et al., 2018</xref>). Ceramides are precursors of sphingolipids, and their dysregulation can affect vesicle fusions and endocytic recycling. Ceramide derivatives interact with SNARE docking complex and recruit Munc13, the binding partner of Doc2A (calcium sensitive exocytosis regulator) thus enhancing calcium intracellular flow (<xref ref-type="bibr" rid="B16">Camoletto et al., 2009</xref>). McCammon et al. identified a subset of interacting 16p11.2 pairs of genes affecting brain and ventricle morphology in Zebrafish. In particular, DOC2A and Fam57a interacts to affect propensity to seizures and body size (<xref ref-type="bibr" rid="B113">McCammon et al., 2017</xref>). Its loss of function causes movement defects in Zebrafish, no response to touch and axonal defects (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>). In addition, Fam57b knock-down in <italic>Drosophila</italic> causes altered growth development of the neuromuscular junction (<xref ref-type="bibr" rid="B79">Iyer et al., 2018</xref>). Fam57b has been found enriched in Drd2&#x2b; MSNs in 16p11.2 DEL mice (<xref ref-type="bibr" rid="B145">Portmann et al., 2014</xref>), however its specific function in the context of neurodevelopmental disorders is currently unknown.</p>
</sec>
<sec id="s5-3-4">
<title>TMEM219</title>
<p>TMEM219 encodes for a transmembrane protein also known as IGFBP-3R (Insulin-like growth factor binding protein-3 receptor). It interacts with IGFBP-3 to mediate caspase-8-mediated apoptosis and tumour suppression in prostate and breast cancer xenografts (<xref ref-type="bibr" rid="B78">Ingermann et al., 2010</xref>). TMEM219 interacts with chitinase 3-like-1 (Chi3l1) and the multimeric complex formed by TMEM219/Chi3l1/IL-13R&#x3b1;2 activates MAPK, AKT and Wnt signalling, inhibits oxidant-induced apoptosis in the lung, induces TGF- &#x3b2;1 and promotes melanoma metastasis (<xref ref-type="bibr" rid="B97">Lee et al., 2016</xref>). However, its role in 16p11.2 CNVs is currently unknown.</p>
</sec>
<sec id="s5-3-5">
<title>HIRIP3</title>
<p>HIRIP3 is highly expressed in human and mice embryos, in both cortex excitatory and striatal medium spiny neuron progenitors, as well as in the adult human brain (<xref ref-type="bibr" rid="B123">Morson et al., 2021</xref>). Early evidence suggested that HIRIP3 may be part of a histone H3.3 chaperone complex along with HIRA (<xref ref-type="bibr" rid="B104">Magnaghi et al., 1998</xref>; <xref ref-type="bibr" rid="B157">Ricketts et al., 2019</xref>), while HIRIP3 seems to partner with histone H2A/H2B (<xref ref-type="bibr" rid="B6">Assrir et al., 2007</xref>). HIRIP3 loss of function is known to produce movement defects in Zebrafish (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>).</p>
</sec>
<sec id="s5-3-6">
<title>Ino80e</title>
<p>Ino80e is a component of Ino80, an ATP-dependent chromatin remodelling complex. Although the specific role of Ino80e subunit is unknown, studies in yeast support the role of Ino80 complex in chromatin remodelling, DNA replication, stabilization of replication fork and resumption of replication after stress (<xref ref-type="bibr" rid="B140">Papamichos-Chronakis et al., 2006</xref>; <xref ref-type="bibr" rid="B189">van Attikum et al., 2007</xref>; <xref ref-type="bibr" rid="B141">Papamichos-Chronakis et al., 2011</xref>). Loss of function of Ino80e in Zebrafish is associated with defective neural tubes and abnormal body length (<xref ref-type="bibr" rid="B11">Blaker-Lee et al., 2012</xref>). This gene has been also found overexpressed in regions with decreased fiber density in 16p11.2 DEL male mice (<xref ref-type="bibr" rid="B91">Kumar et al., 2018</xref>).</p>
</sec>
<sec id="s5-3-7">
<title>Asphd1</title>
<p>The role of aspartate beta-hydroxylase domain-containing protein (Asphd1) is still unknown. In general, aspartate beta hydroxylases are rarely expressed in normal adult tissues, while they are overexpressed in several malignancies thus mediating cell proliferation and metastasis. They also appear to be a downstream target of ERK/MAPK and PI3K pathways (<xref ref-type="bibr" rid="B75">Hou et al., 2018</xref>).</p>
</sec>
</sec>
<sec id="s5-4">
<title>Non-coding RNAs in the 16p11.2 region</title>
<p>Non-coding RNAs (ncRNAs) are a class of RNAs that do not encode for proteins and include ribosomal RNAs, transfer RNAs and regulatory non-coding RNAs, such as long non-coding RNAs, micro-RNAs, PIWI-interacting RNAs and circular RNAs.</p>
<p>Regulatory ncRNAs are classified by their size and subdivided in long nc-RNAs (&#x3e;200 nucleotides) and short ncRNAs (&#x3c;200 nucleotides). Regulatory ncRNAs can modulate the expression of homeotic genes and target chromatin remodelling complexes. In addition, they can regulate mRNA stability and protein translation (<xref ref-type="bibr" rid="B2">Amaral et al., 2008</xref>).</p>
<p>MicroRNAs, a class of small single-stranded RNAs (&#x223c;21 nucleotides), are particularly abundant in the brain. They can regulate gene expression via RNA-induced silencing complex (RISC)-mediated translational inhibition or, very rarely, via mRNA cleavage by binding to the 3&#x2032;untranslated region (3&#x2032;UTR) of target mRNAs (<xref ref-type="bibr" rid="B187">Vaishnavi et al., 2013</xref>).</p>
<p>ncRNAs have been involved in development and in differentiation (<xref ref-type="bibr" rid="B2">Amaral et al., 2008</xref>) and their altered expression has been linked with several neurodevelopmental disorders, such as ASD, Fragile X syndrome and intellectual disability (<xref ref-type="bibr" rid="B216">Zhang et al., 2019</xref>). Several miRNAs also play an important role in controlling gene expression programs during development by targeting genes like Notch, Nodal, and Hedgehog. In addition, miRNAs are known to be involved in brain development and dendritic spine morphology (<xref ref-type="bibr" rid="B180">Tekin et al., 2022</xref>). Interestingly, peripheral microRNAs could represent potential biomarkers for brain disorders due to their association with the neuroendocrine and neuroimmune system as well as potential therapeutic targets (<xref ref-type="bibr" rid="B180">Tekin et al., 2022</xref>).</p>
<p>By using RNAcentral (<ext-link ext-link-type="uri" xlink:href="https://rnacentral.org">https://rnacentral.org</ext-link>), we identified &#x223c;30 ncRNAs within the 16p11.2 region (see <xref ref-type="table" rid="T3">Table 3</xref>; <xref ref-type="fig" rid="F1">Figure 1</xref>), including miRNAs, long ncRNAs and three are short ncRNAs, mostly with unknown functions.</p>
<p>Interestingly, has-miR-3680-3p has been recently found upregulated in the peripheral blood of bipolar disorders patients compared to controls. This miRNA targets MAOA gene, encoding for the enzyme responsible for the degradation of biogenic amines, and thus associated with mood disorders (<xref ref-type="bibr" rid="B180">Tekin et al., 2022</xref>). In addition, has-miR-3680-3p has been also involved in oesophageal squamous cell carcinoma and in osteoarthritis (OA) (<xref ref-type="bibr" rid="B168">Shi et al., 2019</xref>; <xref ref-type="bibr" rid="B205">Xie et al., 2022</xref>).</p>
<p>By investigating the presence of miRNAs in five groups of CNVs, <xref ref-type="bibr" rid="B149">Qiao et al., 2013</xref> demonstrated an increased number of miRNAs in <italic>de novo</italic> CNVs compared to familial CNVs and common CNVs found in subjects with idiopathic or syndromic ID and neurotypical individuals. Although the number of miRNAs in familial CNVs is lower than in <italic>de novo</italic> CNVs, it is higher than in common CNVs. Within the 16p11.2 locus, they found two miRNAs (miR-3680-3p and miR-3680-5p) associated with the 16p11.2 paternal duplication, whereas the 16p11.2 <italic>de novo</italic> deletion had no miRNA content. The role of these miRNAs and their targets in CNVs has not been identified yet (<xref ref-type="bibr" rid="B149">Qiao et al., 2013</xref>).</p>
</sec>
</sec>
<sec id="s6">
<title>Potential therapeutic approaches beyond the 16p11.2 genes</title>
<p>The focus of this review is the role of the genes located within 16p11.2 CNV in the pathophysiology of these NDDs. However, accumulating evidence indicates that therapeutic approaches to treat either 16p11.2 deletion or duplication may be effective without directly targeting genes located within this CNV region. Most of those approaches are based on the correction of excitation/inhibition (E/I) imbalances, frequently observed in different animal models of NDDs (<xref ref-type="bibr" rid="B98">Lee et al., 2017</xref>).</p>
<p>The most promising approach for 16p11.2 deletion is based on the use of GABA-B receptor agonists, such as R-Baclofen (Arbaclofen). This is a safe off-patent drug, and its racemic version has already been approved by both the FDA (Food and Drug Administration) and the EMA (European Medicines Agency) for the treatment of spasticity in multiple sclerosis and cerebral palsy. It is also commonly prescribed to children and adolescents with cerebral palsy (<xref ref-type="bibr" rid="B32">Dario and Tomei, 2004</xref>).</p>
<p>Most notably, Arbaclofen has been proven effective in reversing symptoms of models of Fragile X and has already been tested in clinical trials, although without definitive evidence of clinical efficacy (<xref ref-type="bibr" rid="B10">Berry-Kravis et al., 2012</xref>; <xref ref-type="bibr" rid="B70">Henderson et al., 2012</xref>; <xref ref-type="bibr" rid="B214">Zeidler et al., 2018</xref>).</p>
<p>More recently, the same drug has been tested in three different models of 16p11.2 deletion and the data generally support its efficacy in reverting some, but not all, behavioural symptoms (<xref ref-type="bibr" rid="B174">Stoppel et al., 2018</xref>; <xref ref-type="bibr" rid="B64">Gundersen et al., 2023</xref>).</p>
<p>This has led SFARI to initiate a recruitment for a clinical trial on 16p11.2 deletion carriers (<ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/study/NCT04271332">https://clinicaltrials.gov/study/NCT04271332</ext-link>). Despite the obvious excitement about the first potential effective treatment for DEL carriers, it is important to highlight that very little is known about the mechanisms allowing Arbaclofen to change E/I in 16p11.2 deletion syndrome, a state that is apparently shared with Fragile X Syndrome.</p>
<p>Additional proposed treatments, already tested for Fragile X Syndrome, are based on the inhibition of metabotropic mGLUR5 receptors by using negative allosteric modulators (NAMs), such as mavoglurant and basimglurant (see for reference (<xref ref-type="bibr" rid="B175">Stoppel et al., 2017</xref>)). This observation is interesting and points to a potential dysregulation of protein synthesis downstream mGLUR5 receptors. However, it may need to be entirely reconciled with the additional evidence that glutamatergic function seems to be disrupted in a mouse model of 16p11.2 deletion and that chemogenetic activation of the prefrontal cortex pyramidal neurons may ameliorate cognitive symptoms (<xref ref-type="bibr" rid="B182">Tian et al., 2015</xref>; <xref ref-type="bibr" rid="B9">Berry-Kravis et al., 2017</xref>; <xref ref-type="bibr" rid="B201">Wang et al., 2018</xref>).</p>
<p>A final potentially relevant observation is that serotoninergic signalling via 5-HT1B receptors in the nucleus accumbens is disrupted in 16p11.2 deletion mice as well as in other ASD models. Both optogenetic or pharmacological stimulation of the serotonin pathway can reverse social deficits (<xref ref-type="bibr" rid="B196">Walsh et al., 2018</xref>; <xref ref-type="bibr" rid="B197">Walsh et al., 2021</xref>).</p>
<p>All the above approaches have been devised and tested to treat the 16p11.2 deletion syndrome. Translational research on the mirror condition, the 16p11.2 duplication syndrome, is lagging behind. However, in a recent paper, Npas4 has been identified as a potential therapeutic target. This GABAergic specific transcription factor has been found downregulated in the cortex of the DUP mouse model, in conjunction with an inhibitory transmission deficit and enhanced excitability. Remarkably, restoration of Npas4 expression in the PFC was able to rescue both synaptic and behavioural deficits in DUP mice (<xref ref-type="bibr" rid="B153">Rein et al., 2020</xref>). In addition, since Npas4 expression is negatively regulated by the epigenetic enzyme histone deacetylase 5 (HDAC5), administration of a HDAC5 inhibitor could restore GABAergic signalling and rescue behavioural deficits (<xref ref-type="bibr" rid="B152">Rein et al., 2022</xref>).</p>
<p>These studies are important, also because they suggest that pharmacological approaches aiming at ameliorating GABAergic activity, including the use of Arbaclofen, may be a potential way forward, as already evaluated for the 16p11.2 deletion syndrome. This evidence may also indicate that changes in E/I and circuitry disruption at the system level may converge onto the two conditions, despite the difference in gene dosage.</p>
</sec>
<sec sec-type="conclusion" id="s7">
<title>Conclusion</title>
<p>16p11.2 deletion and duplications are amongst the most intensively studied neurodevelopmental syndromes. Over the last decade, considerable evidence has accumulated on these two genetically mirrored conditions, most notably in the domain of patient phenotyping and genotyping. Few hypotheses have been proposed to explain the reason why deletion and duplication carriers display opposite phenotypes (e.g., BMI, brain size), or at least different symptoms (e.g., schizophrenia and bipolar disorder are present only in duplication carriers). One possibility is that disease-specific symptoms may harbour from gene dosage differences within a subset of the 27 genes or non-coding RNAs located in the 16p11.2 CNV. However, no convincing experimental evidence in animal or cellular models is present to support this plausible, but difficult to test, hypothesis. Genetic approaches inducing mutations of the individual genes or pairs/trios of genes from a DEL to a DUP condition (and <italic>vice versa</italic>) could be employed to demonstrate that different behavioural or cellular phenotypes &#x201c;appear&#x201d; to be consistent with the mirror NDD. This would create &#x201c;chimeric&#x201d; models that are neither DEL nor DUP but do bear unique phenotypes of each state. We believe that the technology is now mature to perform this set of experiments, even in mammalian animal models, thanks to the advent of genome editing. However, the poor characterisation of the available deletion and duplication models, especially at the behavioural level, is still a major problem in the field. Before attempting complex but feasible genetic experiments, it will be imperative to characterise &#x201c;at best&#x201d; the available models, also considering the genetic background which is known to be remarkably important in modifying behaviour. In the context of 16p11.2 CNVs, see for instance (<xref ref-type="bibr" rid="B4">Arbogast et al., 2016</xref>) where deficits in social behaviour could be unmasked in a different genetic background. It is possible that, in the next years, more progress will be made using 2D and especially 3D cellular models generated from iPSCs, potentially &#x201c;simplified&#x201d; systems than <italic>in vivo</italic> models to study multiple gene function. However, even those approaches still have significant drawbacks (i.e., the availability of proper isogenic controls and the significant differences in differentiation protocols among different laboratories).</p>
<p>An even more complex problem is that the &#x201c;core symptoms&#x201d; of 16p11.2 deletion and duplication syndromes, such as ID and ASD, cannot be explained by differences in gene dosage. Maybe we have so far overestimated this aspect, considering that ID and ASD, or even epilepsy, arise from hundreds of different mutations, from &#x201c;monogenic&#x201d; forms (e.g., FXS or various RASopathies) to a variety of CNVs associated to NDDs. If developmental and behavioural biologists have learned any common lesson, it is clear that behavioural deficits may result from a large and potentially non-overlapping set of molecular and cellular process all impacting on the relevant circuitry. The prevalent idea that E/I imbalance may be at the core of any NDDs is important at the theoretical level but may not help much from the practical point of view. Very often in the past, translational approaches have been based on limited experimental evidence supporting E/I change, and clinical trials have been undertaken without substantial support drawn from work on patients. We desperately need more imaging and neurophysiological studies in patients, before considering applying drugs in a clinical setting. We believe that a better understanding of the patient&#x2019;s endophenotypes and the identification of brain biomarkers for 16p11.2 deletion and duplication syndromes will better guide also translational research in experimental models. Thus, collaborative projects including cell, mice and patients&#x2019; studies will be the key to success in devising novel treatments.</p>
<p>One final note is about the syndromic nature of most NDDs, including 16p11.2 CNVs. The research is still too &#x201c;neuro-centric&#x201d; and most scientists, including us, have overlooked metabolic dysfunctions. These are instead likely to play a central role in syndromic NDDs, such as the 16p11.2 CNVs, and can clearly impact on the patients&#x2019; quality of life and their life expectancy. For instance, the 16p11.2 deletion syndrome is also associated with obesity and hyper insulinemic hypoglycaemia (<xref ref-type="bibr" rid="B87">Kostopoulou et al., 2019</xref>). A recent study highlighted unique and sex-specific metabolic signatures, also related to mitochondrial function, in three different mouse models of NDDs, including the 16p11.2 DEL (<xref ref-type="bibr" rid="B117">Menzies et al., 2021</xref>). It might be plausible that some genes in the CNV may be directly responsible for &#x201c;peripheral&#x201d; phenotypes, although this aspect has not been fully addressed in our review. However, we recognise that it is no longer sustainable to study neurodevelopmental disorders without considering the body as a whole. Investigating peripheral alterations in 16p11.2 CNVs, together with dissecting &#x201c;brain-specific&#x201d; phenotypes, will be crucial to inform and guide the development of future clinical interventions for these disabling conditions.</p>
</sec>
</body>
<back>
<sec id="s8">
<title>Author contributions</title>
<p>RL: Writing&#x2013;original draft, Writing&#x2013;review and editing. CZ: Writing&#x2013;original draft, Writing&#x2013;review and editing. RB: Conceptualization, Funding acquisition, Supervision, Writing&#x2013;original draft, Writing&#x2013;review and editing. IM: Conceptualization, Supervision, Writing&#x2013;original draft, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. IM was financially supported by the Medical Research Council Award (MR/S037667/1) of the &#x201c;Therapeutic Target Validation in Mental Health&#x201d; Programme (to RB). Work was supported by &#x23;NEXTGENERATIONEU (NGEU) and funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), project MNESYS (PE0000006)&#x2013;A Multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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