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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">1634128</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1634128</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>Genetic implication of GABA<sub>B</sub> receptors in the etiology of neurological and psychiatric disorders</article-title>
<alt-title alt-title-type="left-running-head">Gassmann 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.2025.1634128">10.3389/fphar.2025.1634128</ext-link>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gassmann</surname>
<given-names>Martin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Stawarski</surname>
<given-names>Michal</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2544535/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Antonarakis</surname>
<given-names>Stylianos E.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bettler</surname>
<given-names>Bernhard</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Biomedicine</institution>, <institution>University of Basel</institution>, <addr-line>Basel</addr-line>, <country>Switzerland</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Medigenome, Swiss Institute of Genomic Medicine</institution>, <addr-line>Geneva</addr-line>, <country>Switzerland</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Genetic Medicine and Development</institution>, <institution>University of Geneva</institution>, <addr-line>Geneva</addr-line>, <country>Switzerland</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/423917/overview">Kimberly Frances Raab-Graham</ext-link>, Wake Forest University, 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/32867/overview">Shekher Mohan</ext-link>, College of Osteopatic Medicine, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/167866/overview">Darrin Brager</ext-link>, The University of Texas at Austin, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Bernhard Bettler, <email>bernhard.bettler@unibas.ch</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1634128</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Gassmann, Stawarski, Antonarakis and Bettler.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Gassmann, Stawarski, Antonarakis and Bettler</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>GABA<sub>B</sub> receptors (GBRs) are G protein-coupled receptors that mediate the actions of the inhibitory neurotransmitter GABA in the central nervous system. Early pharmacological studies with the GBR agonist baclofen and high-affinity antagonists were instrumental in revealing both pre- and postsynaptic functions of GBRs, establishing their critical role in maintaining the excitation-inhibition balance in the brain and highlighting their potential as therapeutic targets. The molecular cloning of GBR subunits enabled the generation of GBR knock-out mouse models, allowing assignment of distinct functions to pharmacologically indistinguishable receptor subtypes and the establishment of causal links between receptor dysfunction and pathological conditions. Advances in high-throughput genomic technologies, particularly whole-exome sequencing, have uncovered hundreds of variants in the genes encoding the GBR subunits, <italic>GABBR1</italic> and <italic>GABBR2</italic>, many of which are linked to neurological and psychiatric disorders. Functional characterization of such variants in recombinant assay systems has revealed both gain-of-function (GOF) and loss-of-function (LOF) mutations, which can now be interpreted in the context of high-resolution structural models of GBR activation. Moreover, proteomic studies have revealed that GBRs form macromolecular complexes with a diverse array of auxiliary proteins that modulate their trafficking, localization, signaling kinetics, and ion channel coupling. Variants in several of these GBR-associated proteins have now also been linked to human disease, with some shown to selectively impair presynaptic GBR functions in relevant mouse models. Here, we review the genetic evidence linking GBR dysfunction to human disease and emphasize the critical role of functional analyses of genetic variants in enhancing diagnostic precision and guiding therapeutic strategies.</p>
</abstract>
<kwd-group>
<kwd>
<italic>GABBR1</italic>
</kwd>
<kwd>
<italic>GABBR2</italic>
</kwd>
<kwd>AJAP1</kwd>
<kwd>PIANP</kwd>
<kwd>neurodevelopmental disorders</kwd>
<kwd>epileptic encephalopathy</kwd>
<kwd>rett syndrome</kwd>
<kwd>autism spectrum disorder</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>1 Introduction</title>
<p>GBRs were first identified in 1980 by Norman Bowery and colleagues, who used baclofen&#x2014;a muscle relaxant introduced in 1971 for treating spasticity&#x2014;to demonstrate the existence of GABA receptors distinct from the ionotropic GABA<sub>A</sub> receptors (<xref ref-type="bibr" rid="B11">Bowery et al., 1980</xref>). GBRs are G protein-coupled receptors that modulate neurotransmission at most synapses in the brain and spinal cord (<xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>; <xref ref-type="bibr" rid="B76">Pin and Bettler, 2016</xref>). They signal through Gi/o-type G proteins to regulate adenylyl cyclases, inwardly rectifying potassium (GIRK or Kir3) channels, and voltage-gated calcium channels (VGCCs). Presynaptic GBRs inhibit the release of both inhibitory and excitatory neurotransmitters by suppressing the activity of VGCCs, while postsynaptic GBRs reduce neuronal excitability by opening GIRK channels, leading to membrane hyperpolarization (<xref ref-type="fig" rid="F1">Figure 1a</xref>). Through these mechanisms, GBRs modulate a broad spectrum of physiological processes, including synaptic plasticity and the regulation of excitation-inhibition balance within neural networks (<xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Macromolecular assemblies and functions of pre- and postsynaptic GBRs. <bold>(a)</bold> Presynaptic GBRs are assembled with the GB1a subunit and form a signaling complex with VGCCs to inhibit neurotransmitter release. The assembly of this presynaptic signaling complex is facilitated by KCTD16 and synaptotagmin-11 (Syt11). Additionally, presynaptic receptors interact with sushi domain (SD)&#x2013;binding proteins via the SD1 of GB1a. Postsynaptic GBRs are assembled with the GB1b subunit and activate G protein-coupled GIRK channels, thereby reducing neuronal excitability. G protein signaling at both pre- and postsynaptic GBRs is modulated by KCTD proteins&#x2014;auxiliary subunits that bind to the C-terminal domain of GB2 as well as to the G protein &#x3b2;&#x3b3; subunits. The VFTD of GB1 contains the GABA-binding site, while the TMD of GB2 mediates G protein coupling. <bold>(b)</bold> The dendritically expressed SD-binding protein AJAP1 trans-synaptically recruits GB1a/2 receptors to presynaptic sites. The role of the SD-binding protein PIANP in the context of GBRs remains poorly understood. PIANP is expressed in both axons and dendrites and may interact with presynaptic GB1a/2 receptors either <italic>in cis</italic> or <italic>in trans.</italic>
</p>
</caption>
<graphic xlink:href="fphar-16-1634128-g001.tif">
<alt-text content-type="machine-generated">Diagram depicting synaptic GBR interactions. (a) Shows presynaptic GB1a/2 and postsynaptic GB1b/2 receptors with associated proteins, including G&#x03B1;, G&#x03B2;&#x03B3;, KCTD pentamer, SD-binding proteins, VGCCs, and Syt11. Postsynaptic GIRK effector channels are illustrated. (b) Displays presynaptic GBRs interacting with postsynaptic AJAP1 and pre- and postsynaptic PIANP. Neurotransmitter release is indicated by dots.</alt-text>
</graphic>
</fig>
<p>Structurally, GBRs are heterodimers composed of GABA<sub>B1</sub> (GB1) and GABA<sub>B2</sub> (GB2) subunits, encoded by the <italic>GABBR1</italic> and <italic>GABBR2</italic> genes, respectively. GB1 subunits contain a C-terminal intracellular retention motif that prevents premature surface expression of the receptor. Dimerization with GB2 masks this motif, ensuring that only properly folded and assembled heterodimeric receptor complexes exit the endoplasmic reticulum (<xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>). Each subunit contains an extracellular venus flytrap domain (VFTD), composed of lobe 1 (LB1) and lobe 2 (LB2), a heptahelical transmembrane domain (TMD), and a C-terminal intracellular domain (<xref ref-type="fig" rid="F1">Figure 1a</xref>) (<xref ref-type="bibr" rid="B27">Frangaj and Fan, 2018</xref>; <xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>; <xref ref-type="bibr" rid="B76">Pin and Bettler, 2016</xref>; <xref ref-type="bibr" rid="B86">Shaye et al., 2021</xref>). Within the heterodimer, GB1 binds GABA and other orthosteric ligands via its VFTD, while GB2 engages the G protein through its TMD (<xref ref-type="bibr" rid="B62">Mao et al., 2020</xref>; <xref ref-type="bibr" rid="B88">Shen et al., 2021</xref>). Receptor activation involves conformational changes, including the closure of the GB1 VFTD upon agonist binding, which brings the LB2 lobes of both VFTDs into contact (<xref ref-type="bibr" rid="B27">Frangaj and Fan, 2018</xref>; <xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>; <xref ref-type="bibr" rid="B76">Pin and Bettler, 2016</xref>; <xref ref-type="bibr" rid="B86">Shaye et al., 2021</xref>). This interaction triggers a rearrangement of transmembrane (TM) helix interfaces from TM3-TM5/TM3-TM5 in the inactive state to TM6/TM6 in the active state, forming a shallow pocket for G protein docking at the base of the GB2 TMD. Competitive antagonists prevent the closure of the GB1 VFTD, while positive allosteric modulators (PAMs) binding at the TM6 interface stabilize the active state of the receptor (<xref ref-type="bibr" rid="B35">Geng et al., 2013</xref>; <xref ref-type="bibr" rid="B58">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B62">Mao et al., 2020</xref>; <xref ref-type="bibr" rid="B86">Shaye et al., 2021</xref>; <xref ref-type="bibr" rid="B88">Shen et al., 2021</xref>). Two GB1 isoforms, GB1a and GB1b, are generated from the <italic>GABBR1</italic> gene via alternative promoter usage and splicing (<xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>). GB1a contains two sushi domains, SD1 and SD2, absent in GB1b (<xref ref-type="fig" rid="F1">Figure 1a</xref>). This structural difference does not affect the orthosteric binding site or alter the signaling properties of GB1a/2 and GB1b/2 receptors, which remain pharmacologically indistinguishable. However, mice lacking GB1a exhibit a loss of presynaptic inhibition of VGCCs, whereas those lacking GB1b show impaired postsynaptic activation of GIRK channels. These findings highlight the critical role of the sushi domains in directing GB1a-containing receptors to presynaptic sites (<xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>; <xref ref-type="bibr" rid="B101">Vigot et al., 2006</xref>).</p>
<p>GBRs form macromolecular complexes through interactions with proteins that influence receptor localization and signaling (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>; <xref ref-type="bibr" rid="B30">Fruh et al., 2024</xref>; <xref ref-type="bibr" rid="B76">Pin and Bettler, 2016</xref>; <xref ref-type="bibr" rid="B84">Schwenk et al., 2010</xref>; <xref ref-type="bibr" rid="B85">Schwenk et al., 2016</xref>). Proteomic studies have identified adherens junction-associated protein 1 (AJAP1), PILR-associated neural protein (PIANP), and potassium channel tetramerization domain-containing proteins&#x2014;KCTD8, KCTD12, and KCTD16&#x2014;as being predominantly or exclusively associated with GBRs (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>; <xref ref-type="bibr" rid="B30">Fruh et al., 2024</xref>; <xref ref-type="bibr" rid="B85">Schwenk et al., 2016</xref>) (<xref ref-type="fig" rid="F1">Figure 1a</xref>). AJAP1 and PIANP interact with the N-terminal SD1 of the presynaptically expressed GB1a subunit (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>; <xref ref-type="bibr" rid="B30">Fruh et al., 2024</xref>; <xref ref-type="bibr" rid="B85">Schwenk et al., 2016</xref>). AJAP1 is selectively expressed in dendrites and recruits GBRs to presynaptic sites through a trans-synaptic mechanism (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>; <xref ref-type="bibr" rid="B30">Fruh et al., 2024</xref>) (<xref ref-type="fig" rid="F1">Figure 1b</xref>). PIANP is expressed in both axons and dendrites, yet its role in the context of GBRs remains poorly understood (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>; <xref ref-type="bibr" rid="B106">Winkler et al., 2020</xref>) (<xref ref-type="fig" rid="F1">Figure 1b</xref>). The KCTD proteins function as auxiliary subunits of GBRs, interacting with the C-terminal domain of GB2 and the G&#x3b2;&#x3b3; subunits of the G protein, thereby stabilizing the G protein at the receptor (<xref ref-type="bibr" rid="B28">Fritzius et al., 2024</xref>; <xref ref-type="bibr" rid="B96">Turecek et al., 2014</xref>) (<xref ref-type="fig" rid="F1">Figure 1a</xref>). This dual interaction with the receptor and the G protein allows KCTD proteins to modulate both the activation and deactivation kinetics of G protein signaling (<xref ref-type="bibr" rid="B28">Fritzius et al., 2024</xref>; <xref ref-type="bibr" rid="B84">Schwenk et al., 2010</xref>; <xref ref-type="bibr" rid="B96">Turecek et al., 2014</xref>). Proteomic analyses have further revealed a broader network of non-exclusive protein interactions with GBRs, including amyloid precursor protein (APP) (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>; <xref ref-type="bibr" rid="B78">Rem et al., 2023</xref>; <xref ref-type="bibr" rid="B79">Rice et al., 2019</xref>; <xref ref-type="bibr" rid="B85">Schwenk et al., 2016</xref>), synaptotagmin-11 (Syt11) (<xref ref-type="bibr" rid="B94">Trovo et al., 2024</xref>), hyperpolarization-activated cyclic nucleotide-gated (HCN) channels (<xref ref-type="bibr" rid="B75">Perez-Garci et al., 2025</xref>; <xref ref-type="bibr" rid="B85">Schwenk et al., 2016</xref>), VGCCs (<xref ref-type="bibr" rid="B85">Schwenk et al., 2016</xref>; <xref ref-type="bibr" rid="B94">Trovo et al., 2024</xref>), and transient receptor potential vanilloid 1 (TRPV1) channels (<xref ref-type="bibr" rid="B40">Hanack et al., 2015</xref>). APP is required for efficient axonal trafficking of GBRs to presynaptic release sites (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>), while Syt11 promotes the preassembly of the GBR-KCTD16-VGCC signaling complex prior to its delivery to the plasma membrane (<xref ref-type="bibr" rid="B94">Trovo et al., 2024</xref>). Consequently, mice lacking either Syt11 or APP exhibit impaired presynaptic GBR-mediated inhibition of neurotransmitter release (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>; <xref ref-type="bibr" rid="B94">Trovo et al., 2024</xref>). The interaction between HCN channels and GBRs, mediated by KCTD16, facilitates HCN channel activation during postsynaptic hyperpolarization, thereby providing a negative feedback mechanism that curtails the duration of inhibition (<xref ref-type="bibr" rid="B75">Perez-Garci et al., 2025</xref>).</p>
<p>Consistent with their essential role in the temporal regulation of neuronal activity and the maintenance of excitation-inhibition balance within neural networks, biochemical and pharmacological studies have now established causal links between variants of uncertain significance (VUS) in the genes for GBR subunits and associated proteins in broad spectrum of neurodevelopmental disorders. These include neurodevelopmental disorder with language delay and variable cognitive abnormalities (NEDLC), neurodevelopmental disorder with poor language and loss of hand skills (NDPLHS), developmental and epileptic encephalopathy 59 (DEE59), intellectual disability (ID), and autism spectrum disorder (ASD). In this review, we explore the role of GBRs in human disease, with particular focus on missense and deletion variants that implicate GBR subunits and key interacting proteins&#x2014;AJAP1 and PIANP&#x2014;in disease pathogenesis.</p>
</sec>
<sec id="s2">
<title>2 Expression and autoantibody studies implicating GBRs in disease</title>
<p>Early investigations to explore potential links to disease focused on changes in GBR protein and transcript expression in brain tissue from patients. For example, quantitative autoradiography using [<sup>3</sup>H]-GABA or high-affinity GBR antagonists like [<sup>3</sup>H]-CGP62349, along with immunocytochemistry on hippocampal tissue from patients with temporal lobe epilepsy, supported a reduced GBR density compared to postmortem controls (<xref ref-type="bibr" rid="B68">Munoz et al., 2002</xref>; <xref ref-type="bibr" rid="B77">Princivalle et al., 2002</xref>; <xref ref-type="bibr" rid="B102">Vlachou, 2022</xref>). Altered transcript expression levels and redistribution of GBR subunits have also been observed in the postmortem brains of patients with epilepsy, schizophrenia, autism, bipolar disorder, fragile X syndrome, and Alzheimer&#x2019;s disease (<xref ref-type="bibr" rid="B25">Fatemi et al., 2009</xref>; <xref ref-type="bibr" rid="B26">Fatemi et al., 2017</xref>; <xref ref-type="bibr" rid="B46">Iwakiri et al., 2005</xref>; <xref ref-type="bibr" rid="B67">Mudge et al., 2008</xref>; <xref ref-type="bibr" rid="B87">Sheilabi et al., 2018</xref>). Although such expression studies have suggested a role for GBRs in disease, their informative value is limited, as they cannot distinguish whether observed changes in receptor protein or transcript levels reflect adaptive responses to the disease or its treatment, or whether they contribute directly to disease pathogenesis.</p>
<p>Compelling evidence for a direct role of GBRs in the etiology of epilepsy comes from studies showing that autoantibodies targeting GBRs may contribute to autoimmune epilepsy by disrupting receptor expression or interfering with receptor signaling (<xref ref-type="bibr" rid="B55">Lancaster et al., 2010</xref>; <xref ref-type="bibr" rid="B98">van Coevorden-Hameete et al., 2019</xref>). Notably, autoantibodies against the auxiliary GBR subunit KCTD16 have been detected alongside those targeting the GB1 subunit in patients with encephalitis, further implicating GBRs in the pathogenesis of the disease (<xref ref-type="bibr" rid="B98">van Coevorden-Hameete et al., 2019</xref>).</p>
</sec>
<sec id="s3">
<title>3 Pharmacological implications of GBRs in disease</title>
<p>Baclofen (Lioresal<sup>&#xae;</sup>), a lipophilic analog of &#x3b3;-aminobutyric acid (GABA), was initially developed in the 1960s as an antiepileptic agent (<xref ref-type="bibr" rid="B97">Urwyler, 2011</xref>). Although it proved ineffective for epilepsy, it was approved in 1971 for the treatment of spasticity associated with conditions such as multiple sclerosis and spinal cord injury. In 1980, baclofen was shown to be a selective agonist of GBRs (<xref ref-type="bibr" rid="B11">Bowery et al., 1980</xref>). Baclofen has been explored off-label for various conditions. However, its broader therapeutic application is limited by side effects such as sedation, dizziness, and muscle weakness, as well as by the development of tolerance with prolonged use. Notably, baclofen has been studied extensively for the treatment of alcohol dependence and withdrawal. In 2018, it received formal market authorization in France for the management of alcohol use disorders (<xref ref-type="bibr" rid="B42">Hwa et al., 2014</xref>). Gamma-hydroxybutyrate (GHB; Xyrem<sup>&#xae;</sup>), a partial agonist at GBRs (<xref ref-type="bibr" rid="B51">Kaupmann et al., 2003</xref>), is approved for the treatment of excessive daytime sleepiness and cataplexy in patients with narcolepsy (<xref ref-type="bibr" rid="B81">Roth, 2025</xref>). Despite its clinical utility, GHB is classified as a Schedule I controlled substance in the United States outside approved medical use, due to its potent central nervous system depressant effects and high potential for abuse&#x2014;particularly its involvement in drug-facilitated sexual assault. PAMs of GBRs provide a more selective therapeutic approach than orthosteric agonists, as they enhance the actions of endogenous GABA by increasing the receptor&#x2019;s affinity and/or efficacy (<xref ref-type="bibr" rid="B97">Urwyler, 2011</xref>). PAMs modulate GBRs in a manner that more closely mirrors the receptors&#x2019; endogenous temporal and spatial activation patterns, thereby reducing the risk of adverse effects. PAMs of GBRs generally do not produce sedation, hypothermia, or muscle relaxation. Preclinical studies have demonstrated the therapeutic potential of PAMs across a range of conditions, including spasticity, epilepsy, depression, anxiety, pain, and substance use disorders (<xref ref-type="bibr" rid="B7">Bicakci et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Cryan and Kaupmann, 2005</xref>; <xref ref-type="bibr" rid="B42">Hwa et al., 2014</xref>; <xref ref-type="bibr" rid="B47">Jacobson and Cryan, 2008</xref>; <xref ref-type="bibr" rid="B48">Kalinichev et al., 2017</xref>; <xref ref-type="bibr" rid="B49">Kannampalli et al., 2017</xref>; <xref ref-type="bibr" rid="B60">Lopes et al., 2015</xref>; <xref ref-type="bibr" rid="B66">Minere et al., 2024</xref>; <xref ref-type="bibr" rid="B102">Vlachou, 2022</xref>). Although baclofen and PAMs demonstrate that enhancing GBR activity can ameliorate pathological conditions, their therapeutic efficacy alone does not necessarily establish GBR hypofunction as the primary cause of these diseases. Instead, GBR agonists and PAMs are generally expected to be beneficial in disorders characterized by an increased excitation-inhibition ratio within neural networks. Nevertheless, the therapeutic effects of these compounds are often observed in conditions that mirror phenotypes seen in GBR-deficient mice (see 4.1), providing supportive evidence for a causal link between GBR hypofunction and disease pathophysiology. The low-affinity GBR antagonist SGS742 (CGP36742) has demonstrated cognition-enhancing effects in both preclinical and clinical settings (<xref ref-type="bibr" rid="B29">Froestl et al., 2004</xref>; <xref ref-type="bibr" rid="B102">Vlachou, 2022</xref>). However, broader exploration of GBR antagonists in disease models has been constrained by their proconvulsant liability (<xref ref-type="bibr" rid="B91">Teichgraber et al., 2009</xref>; <xref ref-type="bibr" rid="B99">Vergnes et al., 1997</xref>), which causally implicates GBR hypofunction in seizure-related hyperexcitability.</p>
</sec>
<sec id="s4">
<title>4 Genetic links between GBRs and disease</title>
<sec id="s4-1">
<title>4.1 GBR-deficient mice</title>
<p>The cloning of GBR cDNAs (<xref ref-type="bibr" rid="B64">Marshall et al., 1999</xref>) made it possible to genetically ablate individual receptor subunits in mice, thereby establishing a direct genetic link between GBR dysfunction and disease. Due to the obligate heterodimeric nature of GBRs, knockout of either the GB1 subunit (comprising the GB1a and GB1b isoforms) or the GB2 subunit results in similar synaptic deficits and pathologies (<xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>; <xref ref-type="bibr" rid="B34">Gassmann et al., 2004</xref>; <xref ref-type="bibr" rid="B83">Schuler et al., 2001</xref>), including complete loss of both pre- and postsynaptic GBR responses, spontaneous seizures, increased susceptibility to induced seizures, cognitive impairments, hyperactivity, altered circadian activity, and hyperalgesia (<xref ref-type="bibr" rid="B34">Gassmann et al., 2004</xref>; <xref ref-type="bibr" rid="B83">Schuler et al., 2001</xref>). The occurrence of seizures in GB1 and GB2 knockout mice supports findings from antagonist studies and highlights the key role of GBRs in maintaining the excitation&#x2013;inhibition balance in the brain through inhibitory signaling. Mice with a heterozygous deletion of the GB1 or GB2 subunits have not been systematically analyzed; however, available data suggest that heterozygous GB1-deficient mice exhibit only mild functional and behavioral deficits (<xref ref-type="bibr" rid="B51">Kaupmann et al., 2003</xref>; <xref ref-type="bibr" rid="B83">Schuler et al., 2001</xref>). Selective ablation of the GB1a subunit abolishes presynaptic GBR-mediated inhibition of neurotransmitter release, while deletion of the GB1b subunit disrupts postsynaptic inhibition through GIRK channels (<xref ref-type="bibr" rid="B101">Vigot et al., 2006</xref>). Notably, only GB1a-deficient but not GB1b-deficient mice exhibit a proconvulsive phenotype (<xref ref-type="bibr" rid="B101">Vigot et al., 2006</xref>), highlighting the critical role of presynaptic GBRs in limiting glutamate release and preventing excessive excitation, hypersynchronous network activity, and seizure generation. Similarly, GB1a-deficient mice show pronounced impairments in learning and memory, likely due to disinhibited glutamate release and subsequent saturation of synaptic plasticity mechanisms (<xref ref-type="bibr" rid="B101">Vigot et al., 2006</xref>). In comparison, GB1b-deficient mice display milder phenotypes, including hyperactivity, disrupted circadian cycles, spatial memory deficits, and impaired fear conditioning, a form of associative learning (<xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>). While the therapeutic benefits of baclofen and PAMs largely align with disease phenotypes observed in GBR-deficient mice, the cognition-enhancing effects of the GBR antagonist SGS742 (<xref ref-type="bibr" rid="B29">Froestl et al., 2004</xref>) appear at odds with the pronounced learning and memory deficits reported in GBR-deficient mouse models.</p>
</sec>
<sec id="s4-2">
<title>4.2 Pathogenic <italic>GABBR1</italic> and <italic>GABBR2</italic> variants in humans</title>
<p>Genetic and genomic technologies provide powerful tools for identifying variants in <italic>GABBR1</italic> and <italic>GABBR2</italic> that may predispose individuals to disease or directly contribute its pathogenesis. Given the broad expression of GBRs throughout the central nervous system, and the diverse pathologies observed in GBR-deficient mice, genetic variants that impair receptor function are likely to contribute to disease (<xref ref-type="bibr" rid="B33">Gassmann and Bettler, 2012</xref>; <xref ref-type="bibr" rid="B76">Pin and Bettler, 2016</xref>). Genome-wide association studies (GWAS Catalog, <ext-link ext-link-type="uri" xlink:href="https://www.ebi.ac.uk/gw intellectual disability as/">https://www.ebi.ac.uk/gw intellectual disability as/</ext-link>) have identified single nucleotide polymorphisms and other genetic variants in <italic>GABBR1</italic> and <italic>GABBR2</italic> that are associated with schizophrenia, anxiety and depression/mood disorders, autism spectrum disorder (ASD), post-traumatic stress disorder, alcohol use disorder, insomnia, Alzheimer&#x2019;s disease, and pain (<xref ref-type="table" rid="T1">Table 1</xref>). Based on statistical significance and replication across independent cohorts, the strongest genetic associations have been identified for depression and schizophrenia. However, since all GWAS-associated variants in <italic>GABBR1</italic> and <italic>GABBR2</italic> reside in non-coding regions, their impact on GBR function remains unclear. Non-coding variants are thought to influence disease by modulating gene expression or alternative splicing of transcript isoforms. Their regulatory effects are often modest and cell-type specific, which further complicates the functional validation of disease-associated variants (<xref ref-type="bibr" rid="B32">Gallagher and Chen-Plotkin, 2018</xref>; <xref ref-type="bibr" rid="B104">Wainberg et al., 2022</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>GWAS implicating GBRs in human disease.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Disorder</th>
<th align="left">Number of affected</th>
<th align="left">Gene associated</th>
<th align="left">Most significant SNP</th>
<th align="left">P Value</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">AD</td>
<td align="left">18,892</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">rs148032752<break/>intron variant</td>
<td align="left">2 &#xd7; 10e-12</td>
<td align="left">
<xref ref-type="bibr" rid="B37">Gouveia et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">ASD</td>
<td align="left">18,381</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">rs740883<break/>intron variant</td>
<td align="left">1 &#xd7; 10e-6</td>
<td align="left">
<xref ref-type="bibr" rid="B38">Grove et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Depression</td>
<td align="left">224,871</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">rs1235162<break/>intron variant</td>
<td align="left">3 &#xd7; 10e-16</td>
<td align="left">
<xref ref-type="bibr" rid="B18">Dahl et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">Depression</td>
<td align="left">113,769</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">rs1233393<break/>intron variant</td>
<td align="left">8 &#xd7; 10e-13</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Howard et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Depression</td>
<td align="left">357,957</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">rs28893517<break/>intron variant</td>
<td align="left">5 &#xd7; 10e-10</td>
<td align="left">
<xref ref-type="bibr" rid="B70">Nagel et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Depression</td>
<td align="left">5919</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">rs28986306<break/>intron variants</td>
<td align="left">2 &#xd7; 10e-9</td>
<td align="left">
<xref ref-type="bibr" rid="B92">Thorp et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Depression</td>
<td align="left">16,301</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">rs926552<break/>3&#x2032;UTR variant</td>
<td align="left">4 &#xd7; 10e-8</td>
<td align="left">
<xref ref-type="bibr" rid="B12">Cai et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Insomnia</td>
<td align="left">593,724</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">rs28359963<break/>intron variant</td>
<td align="left">4 &#xd7; 10e-9</td>
<td align="left">
<xref ref-type="bibr" rid="B105">Watanabe et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Pain</td>
<td align="left">360,311</td>
<td align="left">
<italic>GABBR1</italic>
<break/>
<italic>SUMO2P1</italic>
</td>
<td align="left">rs1233380<break/>intergenic variant</td>
<td align="left">2 &#xd7; 10e-9</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Carey et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">Schizophrenia</td>
<td align="left">4384</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">rs115070292<break/>intron variant</td>
<td align="left">5 &#xd7; 10e-10</td>
<td align="left">
<xref ref-type="bibr" rid="B110">Yu et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">AD</td>
<td align="left">3946</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">rs3824497<break/>intron variant</td>
<td align="left">4 &#xd7; 10e-6</td>
<td align="left">
<xref ref-type="bibr" rid="B89">Sherva et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Alcohol use disorder</td>
<td align="left">8009</td>
<td align="left">
<italic>GABBR2</italic>
<break/>
<italic>TBC1D2</italic>
</td>
<td align="left">rs10818696<break/>intergenic variant</td>
<td align="left">4 &#xd7; 10e-6</td>
<td align="left">
<xref ref-type="bibr" rid="B5">Benca-Bachman et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">Depression</td>
<td align="left">66,200</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">rs80024556<break/>intron variant</td>
<td align="left">2 &#xd7; 10e-6</td>
<td align="left">
<xref ref-type="bibr" rid="B73">Pan et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">PTSD</td>
<td align="left">764</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">rs2779551<break/>intron variant</td>
<td align="left">2 &#xd7; 10e-6</td>
<td align="left">
<xref ref-type="bibr" rid="B108">Xie et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left">Schizophrenia</td>
<td align="left">74,776</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">rs10985811<break/>intron variant</td>
<td align="left">1 &#xd7; 10e-9</td>
<td align="left">
<xref ref-type="bibr" rid="B95">Trubetskoy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Schizophrenia</td>
<td align="left">96,806</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">rs7869257<break/>intron variant</td>
<td align="left">2 &#xd7; 10e-8</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Dang et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="left">Schizophrenia</td>
<td align="left">37,581</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">rs16914811<break/>intron variant</td>
<td align="left">6 &#xd7; 10e-7</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Goes et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">Schizophrenia</td>
<td align="left">47,663</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">rs3824451<break/>intron variant</td>
<td align="left">2 &#xd7; 10e-7</td>
<td align="left">
<xref ref-type="bibr" rid="B43">Ikeda et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Brain size</td>
<td align="left">557</td>
<td align="left">
<italic>KCTD8</italic>
</td>
<td align="left">rs716890<break/>intron variant</td>
<td align="left">5 &#xd7; 10e-9</td>
<td align="left">
<xref ref-type="bibr" rid="B74">Paus et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left">ASD</td>
<td align="left">36</td>
<td align="left">
<italic>KCTD12</italic>
<break/>
<italic>RN7SL571P</italic>
</td>
<td align="left">rs9573902<break/>intergenic variant</td>
<td align="left">9 &#xd7; 10e-6</td>
<td align="left">
<xref ref-type="bibr" rid="B56">Leblond et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Bipolar disorder</td>
<td align="left">1409</td>
<td align="left">
<italic>KCTD12</italic>
<break/>
<italic>BTF3P11</italic>
</td>
<td align="left">rs2073831<break/>intergenic variant</td>
<td align="left">9 &#xd7; 10e-6</td>
<td align="left">
<xref ref-type="bibr" rid="B57">Lee et al. (2011)</xref>
</td>
</tr>
<tr>
<td align="left">Brain shape</td>
<td align="left">19,670</td>
<td align="left">
<italic>KCTD12</italic>
<break/>
<italic>RN7SL571P</italic>
</td>
<td align="left">rs4536347<break/>intergenic variant</td>
<td align="left">3 &#xd7; 10e-8</td>
<td align="left">
<xref ref-type="bibr" rid="B71">Naqvi et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Depression</td>
<td align="left">5314</td>
<td align="left">
<italic>KCTD12</italic>
<break/>
<italic>RN7SL571P</italic>
</td>
<td align="left">rs144999906<break/>intergenic variant</td>
<td align="left">6 &#xd7; 10e-6</td>
<td align="left">
<xref ref-type="bibr" rid="B10">Blokland et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Rumination</td>
<td align="left">1758</td>
<td align="left">
<italic>KCTD12</italic>
<break/>
<italic>BTF3P11</italic>
</td>
<td align="left">rs674041<break/>intragenic variant</td>
<td align="left">9 &#xd7; 10e-6</td>
<td align="left">
<xref ref-type="bibr" rid="B23">Eszlari et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Alcohol use disorder</td>
<td align="left">272,842</td>
<td align="left">
<italic>KCTD16</italic>
<break/>
<italic>RN7SKP246</italic>
</td>
<td align="left">rs185177474<break/>intergenic variant</td>
<td align="left">2 &#xd7; 10e-8</td>
<td align="left">
<xref ref-type="bibr" rid="B54">Kranzler et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Insomnia</td>
<td align="left">593,724</td>
<td align="left">
<italic>KCTD16</italic>
<break/>
<italic>RN7SKP246</italic>
</td>
<td align="left">rs463245<break/>intergenic variant</td>
<td align="left">6 &#xd7; 10e-11</td>
<td align="left">
<xref ref-type="bibr" rid="B105">Watanabe et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Opioid addiction</td>
<td align="left">16,059</td>
<td align="left">
<italic>KCTD16</italic>
<break/>
<italic>RN7SKP246</italic>
</td>
<td align="left">rs358664<break/>intergenic variant</td>
<td align="left">4 &#xd7; 10e-5</td>
<td align="left">
<xref ref-type="bibr" rid="B31">Gaddis et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Insomnia</td>
<td align="left">593,724</td>
<td align="left">
<italic>AJAP1</italic>
</td>
<td align="left">rs61765001<break/>5&#x2032;UTR variant</td>
<td align="left">1 &#xd7; 10e-8</td>
<td align="left">
<xref ref-type="bibr" rid="B105">Watanabe et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Dementia</td>
<td align="left">44,009</td>
<td align="left">
<italic>AJAP1</italic>
<break/>
<italic>LINC01646</italic>
</td>
<td align="left">rs4654450<break/>intergenic variant</td>
<td align="left">3 &#xd7; 10e-7</td>
<td align="left">
<xref ref-type="bibr" rid="B65">Mega Vascular Cognitive and Dementia (2024)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AD, Alzheimer&#x2019;s disease; ADHD, attention-deficit/hyperactivity disorder; ASD, autism spectrum disorder; PTSD, post-traumatic stress disorder.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In contrast to non-coding GWAS variants, missense variants identified through whole-exome sequencing (WES) in affected individuals offer a more direct and potentially causal link to disease. <italic>GABBR1</italic> and <italic>GABBR2</italic> are classified as haploinsufficient genes, as indicated by their LOF intolerance (pLI) scores of 1 in the gnomAD database (<ext-link ext-link-type="uri" xlink:href="https://gnomad.broadinstitute.org/">https://gnomad.broadinstitute.org/</ext-link>), indicating strong selective pressure against protein-truncating variants. In contrast, mouse models with heterozygous deletion of <italic>Gabbr1</italic> exhibit only mild functional or behavioral deficits (<xref ref-type="bibr" rid="B51">Kaupmann et al., 2003</xref>; <xref ref-type="bibr" rid="B83">Schuler et al., 2001</xref>), suggesting species-specific differences in dosage sensitivity or compensatory mechanisms. Both genes also exhibit significant constraint against missense variation, with missense Z-scores of 5.54 (<italic>GABBR1</italic>) and 4.11 (<italic>GABBR2</italic>) in gnomAD, suggesting that protein-altering mutations are generally not well tolerated and are more likely to be deleterious and potentially disease-causing. ClinVar (<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/clinvar/">https://www.ncbi.nlm.nih.gov/clinvar/</ext-link>), a database documenting human genetic variants and their clinical significance, reports 80 missense variants in <italic>GABBR1</italic> and 433 in <italic>GABBR2</italic> (<xref ref-type="fig" rid="F2">Figure 2</xref>). Among these, seven monoallelic <italic>de novo</italic> variants in <italic>GABBR1</italic> and fourteen in <italic>GABBR2</italic> are classified as pathogenic or likely pathogenic. Additional variants with strong evidence of pathogenicity have been reported in the literature but have not yet been included into ClinVar. These variants are listed in <xref ref-type="table" rid="T2">Table 2</xref> (<italic>GABBR1</italic>) and <xref ref-type="table" rid="T3">Table 3</xref> (<italic>GABBR2</italic>), and have been mapped onto the structural model of GBRs (<xref ref-type="fig" rid="F3">Figure 3</xref>). The missense tolerance ratio (MTR) provides a codon-level measure of selective constraint derived from human population sequencing data (<xref ref-type="bibr" rid="B93">Traynelis et al., 2017</xref>). Many, though not all, pathogenic variants in <italic>GABBR1</italic> and <italic>GABBR2</italic> cluster in regions with low MTR scores, consistent with strong purifying selection against amino acid substitutions in these regions (<xref ref-type="fig" rid="F2">Figure 2</xref>). Due to limited functional validation and incomplete clinical annotation, most missense variants in these genes are currently classified as VUS (<xref ref-type="bibr" rid="B72">Nykamp et al., 2017</xref>). Nonetheless, several of these VUS have been identified in individuals with phenotypes consistent with GBR-related disorders (<xref ref-type="fig" rid="F2">Figure 2</xref>). Notably, many of these VUS are located in low-MTR regions, particularly within <italic>GABBR2</italic>, supporting that they may be pathogenic and warrant further investigation.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>
<italic>GABBR1</italic> and <italic>GABBR2</italic> missense variants reported in the ClinVar database and the literature. <bold>(a)</bold> Manhattan plot illustrating the distribution of missense variants in ClinVar along the primary protein sequence of <italic>GABBR1</italic> with a bin size of 10 amino acids. SD1 and SD2 (green), VFTD consisting of LB1 and LB2 (beige) and TM helices (azure) are indicated. Pathogenic and likely pathogenic variants are colored in red and displayed below the plots. VUS associated with phenotypes resembling those caused by functionally validated pathogenic <italic>GABBR1</italic> variants are shown in orange. VUS associated with conditions unlikely to be caused by GBRs are shown in white. The MTR (<xref ref-type="bibr" rid="B93">Traynelis et al., 2017</xref>) plotted across the protein-coding sequences is shown. Low MTR scores indicate stronger selection against missense variants. Red-shading indicates protein regions, where the FDR-adjusted binomial exact test, which quantifies MTR deviation from neutrality (MTR &#x3d; 1), is &#x3c; 0.1. Horizontal, dashed lines show fifth (green) and 25th (orange) percentiles, median (black), and neutrality (blue). <bold>(b)</bold> MTR ratio and Manhattan plot illustrating the distribution of missense variants in ClinVar along the primary protein sequence of <italic>GABBR2.</italic>
</p>
</caption>
<graphic xlink:href="fphar-16-1634128-g002.tif">
<alt-text content-type="machine-generated">Graphs showing GABBR1 and GABBR2 missense variants with MTR scores on the vertical axis. Panel a depicts GABBR1 variants, while panel b illustrates GABBR2 variants. Color coding indicates pathogenicity: red for pathogenic, orange for variants with GABBR-related symptoms, and white for variants without symptoms. Regions such as SD1, TM1, and VFTD are marked.</alt-text>
</graphic>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Pathogenic GBR missense variants. The model integrates published structures of the baclofen-bound GBR&#x2013;G&#x3b1;<sub>i</sub> protein complex (PDB: 7EB2 (<xref ref-type="bibr" rid="B88">Shen et al., 2021</xref>)), Sushi Domain 1 (SD1; PDB: 6HKC (<xref ref-type="bibr" rid="B79">Rice et al., 2019</xref>)), and Sushi Domain 2 (SD2; PDB: 1SRZ (<xref ref-type="bibr" rid="B9">Blein et al., 2004</xref>)). GB1 and GB2 subunits are shown in dark grey and sea blue, respectively. The G protein components are colored as follows: G&#x3b1;<sub>i</sub>, bright green; G&#x3b2;, cyan; G&#x3b3;, dark blue. Structural domains of GB1 and GB2 (SD1, SD2, LB1, LB2, VFTD, 7TMD) are labeled in italics. Pathogenic variants are indicated in red for GB1 and yellow for GB2. Notably, GB1 p.Ser321Leu and GB1 p.Glu368Asp, both located near the orthosteric binding site within the VFTD of GB1, decrease GABA potency. In contrast, GB1 p.Gly531Ser, situated in a hinge region outside the orthosteric site, and GB2 p.Arg212Gln within the VFTD of GB2, induce constitutive activity. Additionally, several variants located in the 7TM domains of GB1 and GB2 also increase constitutive activity, including GB1 p.Ile809Ser (TM6), GB1 p.Ile847Val (TM7), GB2 p.Ala567Thr (TM3), GB2 p.Ser695Ile (TM6), GB2 p.Met702Val (TM6), GB2 p.Ile705Asn (TM6), and GB2 p.Ala707Thr (TM6). See <xref ref-type="table" rid="T2">Tables 2</xref>,<xref ref-type="table" rid="T3">3</xref> for detailed information on the specific locations of other variants.</p>
</caption>
<graphic xlink:href="fphar-16-1634128-g003.tif">
<alt-text content-type="machine-generated">Molecular structure of the GBR complex: GB1 and GB2 in gray and teal. SD1, SD2, LB1, LB2, VFTD, 7TMD, and the G protein subunits G&#x03B1;i and G&#x03B2;&#x03B3; are indicated. Mutations are shown as red (GB1) and yellow (GB2) spheres with corresponding annotations, such as Gly110Ala, Thr394Met, and others.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>
<italic>GABBR1</italic> missense variants.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Protein</th>
<th align="left">Receptor</th>
<th align="left">Condition</th>
<th align="left">gnomAD (v.4.1.0)</th>
<th align="left">CADD</th>
<th align="left">REVEL</th>
<th align="left">AlphaMissense</th>
<th align="left">Functional validation</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">p.Gly110Ala</td>
<td align="left">SD2</td>
<td align="left">NEDLC</td>
<td align="left">absent</td>
<td align="left">27.7</td>
<td align="left">0.735</td>
<td align="left">0.7648</td>
<td align="left">no</td>
<td align="left">ClinVar</td>
</tr>
<tr>
<td align="left">p.Ser321Leu</td>
<td align="left">VFTD</td>
<td align="left">NEDLC, epilepsy</td>
<td align="left">6.20e-7</td>
<td align="left">33</td>
<td align="left">0.675</td>
<td align="left">0.8519</td>
<td align="left">yes</td>
<td align="left"/>
</tr>
<tr>
<td align="left">p.Glu368Asp</td>
<td align="left">VFTD</td>
<td align="left">NEDLC, epilepsy</td>
<td align="left">absent</td>
<td align="left">24.1</td>
<td align="left">0.605</td>
<td align="left">0.9925</td>
<td align="left">yes</td>
<td align="left">ClinVar (<xref ref-type="bibr" rid="B15">Cediel et al., 2022</xref>)</td>
</tr>
<tr>
<td align="left">p.Ala397Val</td>
<td align="left">VFTD</td>
<td align="left">NEDLC, ADHD</td>
<td align="left">absent</td>
<td align="left">32</td>
<td align="left">0.668</td>
<td align="left">0.8618</td>
<td align="left">yes</td>
<td align="left">ClinVar (<xref ref-type="bibr" rid="B15">Cediel et al., 2022</xref>)</td>
</tr>
<tr>
<td align="left">p.Gly531Ser</td>
<td align="left">VFTD</td>
<td align="left">NEDLC, ASD</td>
<td align="left">absent</td>
<td align="left">32</td>
<td align="left">0.874</td>
<td align="left">0.9945</td>
<td align="left">yes</td>
<td align="left">DECIPHER</td>
</tr>
<tr>
<td align="left">p.Ala535Thr</td>
<td align="left">VFTD</td>
<td align="left">NEDLC</td>
<td align="left">absent</td>
<td align="left">29.5</td>
<td align="left">0.586</td>
<td align="left">0.9261</td>
<td align="left">yes</td>
<td align="left">ClinVar (<xref ref-type="bibr" rid="B15">Cediel et al., 2022</xref>)</td>
</tr>
<tr>
<td align="left">p.Gly673Asp</td>
<td align="left">TM3</td>
<td align="left">NEDLC, ASD, ADHD</td>
<td align="left">absent</td>
<td align="left">31</td>
<td align="left">0.951</td>
<td align="left">0.9993</td>
<td align="left">yes</td>
<td align="left">ClinVar (<xref ref-type="bibr" rid="B15">Cediel et al., 2022</xref>)</td>
</tr>
<tr>
<td align="left">p.Ile809Ser</td>
<td align="left">TM6</td>
<td align="left">NEDLC, ASD, ADHD, epilepsy</td>
<td align="left">absent</td>
<td align="left">32</td>
<td align="left">0.897</td>
<td align="left">0.996</td>
<td align="left">yes</td>
<td align="left"/>
</tr>
<tr>
<td align="left">p.Ile847Val</td>
<td align="left">TM7</td>
<td align="left">NEDLC, ASD</td>
<td align="left">absent</td>
<td align="left">23.9</td>
<td align="left">0.507</td>
<td align="left">0.4329</td>
<td align="left">yes</td>
<td align="left"/>
</tr>
<tr>
<td align="left">p.Leu849Pro</td>
<td align="left">TM7</td>
<td align="left">NEDLC</td>
<td align="left">absent</td>
<td align="left">29.9</td>
<td align="left">0.964</td>
<td align="left">0.999</td>
<td align="left">no</td>
<td align="left">ClinVar</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Score thresholds: CADD (range 0&#x2013;99) benign &#x2264;22.7, deleterious &#x2265;25.3; REVEL (range 0&#x2013;1) benign &#x2264;0.29, deleterious &#x2265;0.644; AlphaMissense (range 0&#x2013;1) benign &#x3c;0.34, deleterious &#x3e;0.654. ASD, autism spectrum disorder; ADHD, attention-deficit/hyperactivity disorder; NEDLC, neurodevelopmental disorder with language delay and variable cognitive abnormalities (OMIM &#x23;620502).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>
<italic>GABBR2</italic> missense variants.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Protein</th>
<th align="left">Receptor</th>
<th align="left">Condition</th>
<th align="left">gnomAD (v.4.1.0)</th>
<th align="left">CADD</th>
<th align="left">REVEL</th>
<th align="left">Alpha<break/>Missense</th>
<th align="left">Functional validation</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">p.Asp165Tyr</td>
<td align="left">VFTD</td>
<td align="left">NDPLHS</td>
<td align="left">absent</td>
<td align="left">30</td>
<td align="left">0.495</td>
<td align="left">0.9335</td>
<td align="left">yes</td>
<td align="left">ClinVar</td>
</tr>
<tr>
<td align="left">p.Arg212Gln</td>
<td align="left">VFTD</td>
<td align="left">NDPLHS, ASD</td>
<td align="left">absent</td>
<td align="left">24.5</td>
<td align="left">0.486</td>
<td align="left">0.6491</td>
<td align="left">yes</td>
<td align="left">ClinVar (<xref ref-type="bibr" rid="B8">Bielopolski et al., 2023</xref>)</td>
</tr>
<tr>
<td align="left">p.Thr334Ile</td>
<td align="left">VFTD</td>
<td align="left">epileptic encephalopathy</td>
<td align="left">absent</td>
<td align="left">33</td>
<td align="left">0.622</td>
<td align="left">0.9453</td>
<td align="left">no</td>
<td align="left"/>
</tr>
<tr>
<td align="left">p.Thr394Met</td>
<td align="left">VFTD</td>
<td align="left">global developmental delay, epileptic encephalopathy</td>
<td align="left">3.098e-5</td>
<td align="left">25.4</td>
<td align="left">0.307</td>
<td align="left">0.096</td>
<td align="left">no</td>
<td align="left">ClinVar<break/>DECIPHER</td>
</tr>
<tr>
<td align="left">p.Gln430Pro</td>
<td align="left">VFTD</td>
<td align="left">NDPLHS, ADHD, ASD</td>
<td align="left">absent</td>
<td align="left">28</td>
<td align="left">0.537</td>
<td align="left">0.998</td>
<td align="left">yes</td>
<td align="left"/>
</tr>
<tr>
<td align="left">p.Gly440Arg</td>
<td align="left">VFTD</td>
<td align="left">NDPLHS, epilepsy</td>
<td align="left">absent</td>
<td align="left">29.8</td>
<td align="left">0.738</td>
<td align="left">0.9987</td>
<td align="left">no</td>
<td align="left">
<xref ref-type="bibr" rid="B82">Samanta and Zarate (2019)</xref>
</td>
</tr>
<tr>
<td align="left">p.Ala567Thr</td>
<td align="left">TM3</td>
<td align="left">NDPLHS, epileptic encephalopathy</td>
<td align="left">absent</td>
<td align="left">28</td>
<td align="left">0.749</td>
<td align="left">0.8207</td>
<td align="left">yes</td>
<td align="left">ClinVar<break/>DECIPHER (<xref ref-type="bibr" rid="B14">Carneiro et al., 2018</xref>; <xref ref-type="bibr" rid="B59">Lopes et al., 2016</xref>; <xref ref-type="bibr" rid="B90">Takata et al., 2018</xref>; <xref ref-type="bibr" rid="B109">Yoo et al., 2017</xref>; <xref ref-type="bibr" rid="B103">Vuillaume et al., 2018</xref>)</td>
</tr>
<tr>
<td align="left">p.Ala567Val</td>
<td align="left">TM3</td>
<td align="left">epileptic encephalopathy</td>
<td align="left">absent</td>
<td align="left">32</td>
<td align="left">0.833</td>
<td align="left">0.9385</td>
<td align="left">no</td>
<td align="left">ClinVar</td>
</tr>
<tr>
<td align="left">p.Met668Leu</td>
<td align="left">TM5</td>
<td align="left">Infantile-onset epilepsy</td>
<td align="left">absent</td>
<td align="left">22</td>
<td align="left">0.597</td>
<td align="left">0.3872</td>
<td align="left">no</td>
<td align="left">
<xref ref-type="bibr" rid="B52">Kim et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">p.Glu677Lys</td>
<td align="left">TM5-TM6 cytoplasmic loop</td>
<td align="left">DEE59</td>
<td align="left">absent</td>
<td align="left">32</td>
<td align="left">0.808</td>
<td align="left">0.9974</td>
<td align="left">no</td>
<td align="left">ClinVar</td>
</tr>
<tr>
<td align="left">p.Tyr691Cys</td>
<td align="left">TM5-TM6 cytoplasmic loop</td>
<td align="left">DEE59</td>
<td align="left">absent</td>
<td align="left">32</td>
<td align="left">0.931</td>
<td align="left">0.9603</td>
<td align="left">no</td>
<td align="left">ClinVar</td>
</tr>
<tr>
<td align="left">p.Gly693Trp</td>
<td align="left">TM6</td>
<td align="left">DEE59</td>
<td align="left">absent</td>
<td align="left">33</td>
<td align="left">0.931</td>
<td align="left">0.9995</td>
<td align="left">yes</td>
<td align="left">ClinVar (<xref ref-type="bibr" rid="B6">Bertoli-Avella et al., 2021</xref>; <xref ref-type="bibr" rid="B22">D&#x27;Onofrio et al., 2022</xref>; <xref ref-type="bibr" rid="B39">Hamdan et al., 2017</xref>; <xref ref-type="bibr" rid="B66">Minere et al., 2024</xref>)</td>
</tr>
<tr>
<td align="left">p.Ser695Ile</td>
<td align="left">TM6</td>
<td align="left">DEE59</td>
<td align="left">absent</td>
<td align="left">32</td>
<td align="left">0.97</td>
<td align="left">0.9968</td>
<td align="left">yes</td>
<td align="left">ClinVar; EuroEPINO MICS 2014 (<xref ref-type="bibr" rid="B39">Hamdan et al., 2017</xref>; <xref ref-type="bibr" rid="B66">Minere et al., 2024</xref>; <xref ref-type="bibr" rid="B109">Yoo et al., 2017</xref>; <xref ref-type="bibr" rid="B103">Vuillaume et al., 2018</xref>)</td>
</tr>
<tr>
<td align="left">p.Ser695Asn</td>
<td align="left">TM6</td>
<td align="left">DEE59, IESS, NDPLHS</td>
<td align="left">absent</td>
<td align="left">31</td>
<td align="left">0.851</td>
<td align="left">0.9931</td>
<td align="left">no</td>
<td align="left">ClinVar (<xref ref-type="bibr" rid="B69">Nagarajan et al., 2023</xref>)</td>
</tr>
<tr>
<td align="left">p.Met702Ile</td>
<td align="left">TM6</td>
<td align="left">ID</td>
<td align="left">absent</td>
<td align="left">29.7</td>
<td align="left">0.792</td>
<td align="left">0.9951</td>
<td align="left">no</td>
<td align="left">ClinVar</td>
</tr>
<tr>
<td align="left">p.Met702Val</td>
<td align="left">TM6</td>
<td align="left">NDPLHS</td>
<td align="left">absent</td>
<td align="left">24.2</td>
<td align="left">0.77</td>
<td align="left">0.826</td>
<td align="left">yes</td>
<td align="left"/>
</tr>
<tr>
<td align="left">p.Ile705Asn</td>
<td align="left">TM6</td>
<td align="left">DEE59</td>
<td align="left">absent</td>
<td align="left">33</td>
<td align="left">0.909</td>
<td align="left">0.9953</td>
<td align="left">yes</td>
<td align="left">ClinVar; EuroEPINO MICS 2014 (<xref ref-type="bibr" rid="B66">Minere et al., 2024</xref>; <xref ref-type="bibr" rid="B109">Yoo et al., 2017</xref>; <xref ref-type="bibr" rid="B103">Vuillaume et al., 2018</xref>)</td>
</tr>
<tr>
<td align="left">p.Ala707Thr</td>
<td align="left">TM6</td>
<td align="left">DEE59<break/>NDPLHS</td>
<td align="left">absent</td>
<td align="left">26.3</td>
<td align="left">0.772</td>
<td align="left">0.8568</td>
<td align="left">yes</td>
<td align="left">ClinVar (<xref ref-type="bibr" rid="B63">Marinakis et al., 2021</xref>; <xref ref-type="bibr" rid="B103">Vuillaume et al., 2018</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Score thresholds: CADD (range 0&#x2013;99) benign &#x2264;22.7, deleterious &#x2265;25.3; REVEL (range 0&#x2013;1) benign &#x2264;0.29, deleterious &#x2265;0.644; AlphaMissense (range 0&#x2013;1) benign &#x3c;0.34, deleterious &#x3e;0.654. ASD, autism spectrum disorder; ADHD, attention-deficit/hyperactivity disorder; ID, intellectual disability; IESS, infantile epileptic spasms syndrome; NDPLHS, neurodevelopmental disorder with poor language and loss of hand skills (OMIM &#x23;617903); DEE59, developmental and epileptic encephalopathy 59 (OMIM &#x23;617904).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Several algorithms have been developed to predict the pathogenicity of single nucleotide variants (<xref ref-type="bibr" rid="B61">MacArthur et al., 2014</xref>). These algorithms are used in conjunction with variant frequency data from case cohorts and reference population databases, such as gnomAD, BRAVO, and Regeneron (<xref ref-type="bibr" rid="B50">Karczewski et al., 2020</xref>). To further assess the potential pathogenicity of <italic>GABBR1</italic> and <italic>GABBR2</italic> VUS associated with GBR-related disorders, we used three <italic>in silico</italic> prediction tools: REVEL (<xref ref-type="bibr" rid="B44">Ioannidis et al., 2016</xref>), CADD (<xref ref-type="bibr" rid="B53">Kircher et al., 2014</xref>), and AlphaMissense (<xref ref-type="bibr" rid="B16">Cheng et al., 2023</xref>). Scores for REVEL, CADD and AlphaMissense were obtained from the dbNSFP database (<ext-link ext-link-type="uri" xlink:href="https://www.dbnsfp.org/">https://www.dbnsfp.org/</ext-link>) and compared to those of known pathogenic variants (<xref ref-type="fig" rid="F4">Figure 4</xref>). The results show that all three tools reliably classify the majority of known pathogenic variants as deleterious. Notably, many <italic>GABBR1</italic> and <italic>GABBR2</italic> VUS linked to GBR-related disorders also received high pathogenicity scores, suggesting they may be disease-causing.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Computational pathogenicity prediction scores for missense variants listed in ClinVar (source: dbNSFP v.5.1). Variants were assessed using the CADD, REVEL and AlphaMissense prediction tools. Data are shown as violin plots, with the median (solid black line) and the first and third quartiles (dotted lines) indicated. For comparison, the scores of pathogenic/likely pathogenic variants from <xref ref-type="table" rid="T2">Tables 2</xref>,<xref ref-type="table" rid="T3">3</xref> (<italic>GABBR1</italic> and <italic>GABBR2</italic>) are shown on the right, with their median values marked. The scores for each of these variants are provided in <xref ref-type="table" rid="T2">Tables 2</xref>,<xref ref-type="table" rid="T3">3</xref>. Dashed horizontal lines denote the deleteriousness thresholds specific to each prediction tool, above which variants are predicted to affect protein function and are thus considered potentially pathogenic.</p>
</caption>
<graphic xlink:href="fphar-16-1634128-g004.tif">
<alt-text content-type="machine-generated">Violin plots showing CADD, REVEL, and AlphaMissense scores for GABBR1 and GABBR2 missense variants. GABBR1 variants listed in ClinVar (n&#x003D;80) and pathogenic variants (n&#x003D;11) are shown in green. GABBR2 variants listed (n&#x003D;433) and pathogenic variants (n&#x003D;18) are shown in blue. Horizontal dashed lines indicate score thresholds..</alt-text>
</graphic>
</fig>
<p>Pathogenic variants in <italic>GABBR1</italic> are commonly associated with a clinical phenotype that includes neurodevelopmental delay and/or epilepsy (<xref ref-type="bibr" rid="B15">Cediel et al., 2022</xref>). Affected individuals typically present with early motor delays, speech and language impairments, ID, learning difficulties, and/or behavioral abnormalities. This phenotypically heterogeneous neurological disorder, caused by monoallelic <italic>de novo</italic> missense <italic>GABBR1</italic>, is designated as NEDLC. Pathogenic variants in <italic>GABBR2</italic> were initially identified in individuals with DEE59 (<xref ref-type="bibr" rid="B24">Euro et al., 2014</xref>) or with clinical features resembling atypical Rett syndrome (<xref ref-type="bibr" rid="B59">Lopes et al., 2016</xref>; <xref ref-type="bibr" rid="B103">Vuillaume et al., 2018</xref>; <xref ref-type="bibr" rid="B109">Yoo et al., 2017</xref>). Individuals with the latter presentation are now more accurately diagnosed with NDPLHS. This condition is characterized by developmental stagnation or regression in early childhood, typically manifesting as loss of purposeful hand movements, impaired or lost language abilities, and ID. Since these initial reports, additional pathogenic <italic>de novo</italic> mutations in <italic>GABBR2</italic> have been discovered in cohorts of individuals with ID (<xref ref-type="bibr" rid="B14">Carneiro et al., 2018</xref>; <xref ref-type="bibr" rid="B20">Deciphering Developmental Disorders, 2017</xref>), ASD (<xref ref-type="bibr" rid="B2">Al-Sarraj et al., 2021</xref>; <xref ref-type="bibr" rid="B90">Takata et al., 2018</xref>), and drug-resistant epilepsy (<xref ref-type="bibr" rid="B52">Kim et al., 2021</xref>; <xref ref-type="bibr" rid="B80">Rochtus et al., 2020</xref>). Notably, the recurrent <italic>de novo</italic> missense variant <italic>GABBR2</italic> p.Ala567Thr, which affects a highly conserved residue within the third transmembrane helix (TM3), has been identified in more than 10 unrelated individuals presenting with NDPLHS.</p>
<p>While computational predictions are valuable for assessing the potential pathogenicity of variants, functional studies are essential to determine their impact on protein function, including whether they cause GOF or LOF effects and to what extent these alterations influence receptor activity. Furthermore, functional studies help elucidate molecular disease mechanisms&#x2014;an essential step toward accurate diagnosis and the development of targeted therapies. Cell-based assay systems that enable direct and selective measurement of GBR activity have proven to be both cost-effective and highly informative for functionally characterizing missense variants in <italic>GABBR1</italic> and <italic>GABBR2</italic> (<xref ref-type="bibr" rid="B8">Bielopolski et al., 2023</xref>; <xref ref-type="bibr" rid="B15">Cediel et al., 2022</xref>; <xref ref-type="bibr" rid="B103">Vuillaume et al., 2018</xref>). These analyses have revealed a number of functional alterations in pathogenic variants, which may also occur in combination: (i) reduced or absent surface expression, leading to decreased or abolished GABA efficacy at the receptor; (ii) a significant reduction in the potency of GABA at the receptor; and (iii) increased constitutive activity. A reduction in surface expression is observed for several pathogenic variants in <italic>GABBR1</italic> and <italic>GABBR2</italic>, which can be located either in the extracellular VFTD or within the TMD. Notably, <italic>GABBR1</italic> p.Gly673Asp in TM3 and <italic>GABBR2</italic> p.Gln430Pro in the VFTD fail to reach the cell surface, rendering the receptors completely inactive. A decrease in GABA potency is observed at <italic>GABBR1</italic> p.Glu368Asp and p.Ser321Leu, both situated in the VFTD near the orthosteric binding site. These variants likely decrease the receptor&#x2019;s affinity for GABA. Increased constitutive activity is predominantly associated with variants located in the TMDs of GB1 and GB2. Specifically, <italic>GABBR1</italic> p.Ile809Ser and p.Ile847Val, along with <italic>GABBR2</italic> p.Ala567Thr, p.Ser695Ile, p.Met702Val, p.Ile705Asn, and p.Ala707Thr, all exhibit enhanced constitutive activity to varying degrees. Constitutive activity in these variants is reversed by the competitive GBR antagonist CGP54626, except for p.Ser695Ile, which is fully active in the absence of GABA (<xref ref-type="bibr" rid="B103">Vuillaume et al., 2018</xref>). Structural mapping of these variants onto available GBR models reveals their localization along the TMDs (<xref ref-type="fig" rid="F3">Figure 3</xref>). Structural data suggest that amino acid substitutions within the TMDs can stabilize the active state of GB2, thereby enabling G protein activation even in the absence of GABA binding (<xref ref-type="bibr" rid="B58">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B86">Shaye et al., 2021</xref>). Increased constitutive activity is also observed with variants in the VFTDs. Molecular dynamics simulations suggest that <italic>GABBR1</italic> p.Gly531Ser, located in a hinge region outside the orthosteric binding site, and <italic>GABBR2</italic> p.Arg212Gln, situated in the VFTD, both induce local conformational changes that stabilize the active state of the receptor. This aligns with the allosteric activation mechanism of GBRs, in which agonist binding to the VFTD of GB1 induces conformational changes transmitted to the TMD of GB2, ultimately activating the G protein (<xref ref-type="bibr" rid="B86">Shaye et al., 2021</xref>). Notably, due to their elevated baseline activity in the absence of GABA, all constitutively active variants exhibit a corresponding reduction in GABA efficacy. The <italic>GABBR1</italic> variant p.Gly110Ala, situated in SD2, has not yet been functionally characterized, but may selectively impair the function of presynaptic GBRs. Overall, functional studies have revealed both LOF and GOF variants in <italic>GABBR1</italic> and <italic>GABBR2</italic>.</p>
<p>The <italic>in vivo</italic> effects of constitutively active variants are likely to be complex and context-dependent. Under conditions of low ambient GABA, constitutive activity and increased GABA potency may enhance GBR signaling, producing a GOF effect. In contrast, during periods of elevated synaptic GABA concentrations, reduced GABA efficacy could lead to a net LOF. While inverse agonists can suppress constitutive receptor activity, they risk further dampening GABA-mediated signaling during synaptic transmission, potentially exacerbating functional deficits. Functional studies in transfected neurons suggest that certain constitutively active <italic>GABBR2</italic> variants disrupt receptor trafficking to the neuronal surface, resulting in reduced signaling efficacy and contributing to presynaptic hyperexcitability (<xref ref-type="bibr" rid="B66">Minere et al., 2024</xref>). Notably, this synaptic phenotype was reversed by pharmacological enhancement of GBR signaling using a PAM. Moreover, variants such as <italic>GABBR2</italic> p.Ser695Ile, which exhibit high constitutive activity, may trigger adaptive cellular mechanisms that ultimately downregulate receptor function. These observations underscore the challenge of selecting an optimal therapeutic strategy based solely on <italic>in vitro</italic> data, emphasizing the need for a deeper understanding of variant-specific effects in a physiological context. The advent of CRISPR/Cas genome editing has made it relatively rapid and cost-effective to generate mouse models carrying specific variants inserted into the endogenous gene locus. Such models closely replicate the human condition by maintaining physiological expression levels within the native neuronal environment&#x2014;a critical factor when studying monoallelic variants. These models offer a powerful platform for detailed investigations of synaptic and network function through both <italic>in vitro</italic> and <italic>in vivo</italic> electrophysiology. In parallel, they enable comprehensive biochemical profiling of the receptor and its signaling partners, facilitating the identification of adaptive or compensatory mechanisms that may emerge in response to altered receptor function.</p>
<p>Interestingly, both LOF and GOF variants can give rise to overlapping clinical phenotypes (<xref ref-type="table" rid="T4">Table 4</xref>). As noted above, GOF effects driven by constitutive receptor activity are accompanied by a reduced responsiveness to synaptic GABA, effectively resulting in a concomitant LOF. In addition, both types of variants may disrupt homeostatic mechanisms critical for maintaining neural network stability and the balance between excitation and inhibition (<xref ref-type="bibr" rid="B100">Vertkin et al., 2015</xref>). Such disruption likely contributes to the etiology of neurological and psychiatric disorders, including epilepsy, ID, and ASD (<xref ref-type="bibr" rid="B45">Issa et al., 2023</xref>; <xref ref-type="bibr" rid="B107">Wondolowski and Dickman, 2013</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>GOF and LOF variants in <italic>GABBR1</italic> and <italic>GABBR2</italic>.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Protein</th>
<th align="left">Gene</th>
<th align="left">Effect</th>
<th align="left">Pharmacology</th>
<th align="left">Surface expression</th>
<th align="left">Condition</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">p.Gly531Ser</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">GOF</td>
<td align="left">full constitutive activity</td>
<td align="left">reduced</td>
<td align="left">NEDLC, ASD</td>
</tr>
<tr>
<td align="left">p.Ile809Ser</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">GOF</td>
<td align="left">partial constitutive activity, increased potency</td>
<td align="left">normal</td>
<td align="left">NEDLC, ASD, ADHD, epilepsy</td>
</tr>
<tr>
<td align="left">p.Ile847Val</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">GOF</td>
<td align="left">partial constitutive activity, increased potency</td>
<td align="left">normal</td>
<td align="left">NEDLC, ASD</td>
</tr>
<tr>
<td align="left">p.Asp165Tyr</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">GOF</td>
<td align="left">partial constitutive activity, increased potency</td>
<td align="left">reduced</td>
<td align="left">NDPLHS</td>
</tr>
<tr>
<td align="left">p.Arg212Gln</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">GOF</td>
<td align="left">partial constitutive activity, increased potency</td>
<td align="left">reduced</td>
<td align="left">NDPLHS, ASD</td>
</tr>
<tr>
<td align="left">p.Ala567Thr</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">GOF</td>
<td align="left">partial constitutive activity</td>
<td align="left">normal</td>
<td align="left">NDPLHS, epileptic encephalopathy</td>
</tr>
<tr>
<td align="left">p.Ser695Ile</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">GOF</td>
<td align="left">full constitutive activity</td>
<td align="left">normal</td>
<td align="left">DEE59</td>
</tr>
<tr>
<td align="left">p.Met702Val</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">GOF</td>
<td align="left">partial constitutive activity, increased potency</td>
<td align="left">normal</td>
<td align="left">NDPLHS</td>
</tr>
<tr>
<td align="left">p.Ile705Asn</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">GOF</td>
<td align="left">partial constitutive activity</td>
<td align="left">normal</td>
<td align="left">DEE59</td>
</tr>
<tr>
<td align="left">p.Ala707Thr</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">GOF</td>
<td align="left">partial constitutive activity</td>
<td align="left">normal</td>
<td align="left">DEE59, NDPLHS</td>
</tr>
<tr>
<td align="left">p.Ser321Leu</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">LOF</td>
<td align="left">reduced potency</td>
<td align="left">normal</td>
<td align="left">NEDLC, epilepsy</td>
</tr>
<tr>
<td align="left">p.Glu368Asp</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">LOF</td>
<td align="left">reduced potency, reduced efficacy</td>
<td align="left">reduced</td>
<td align="left">NEDLC, epilepsy</td>
</tr>
<tr>
<td align="left">p.Ala397Val</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">LOF</td>
<td align="left">reduced efficacy</td>
<td align="left">normal</td>
<td align="left">NEDLC, ADHD</td>
</tr>
<tr>
<td align="left">p.Ala535Thr</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">LOF</td>
<td align="left">reduced efficacy</td>
<td align="left">normal</td>
<td align="left">NEDLC</td>
</tr>
<tr>
<td align="left">p.Gly673Asp</td>
<td align="left">
<italic>GABBR1</italic>
</td>
<td align="left">LOF</td>
<td align="left">no response</td>
<td align="left">absent</td>
<td align="left">NEDLC, ASD, ADHD</td>
</tr>
<tr>
<td align="left">p.Gln430Pro</td>
<td align="left">
<italic>GABBR2</italic>
</td>
<td align="left">LOF</td>
<td align="left">no response</td>
<td align="left">absent</td>
<td align="left">NDPLHS, ADHD, ASD</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Main pharmacological effects and associated conditions of gain-of-function (GOF) and loss-off-function (LOF) variants in <italic>GABBR1</italic> and <italic>GABBR2</italic>. ADHD, attention-deficit/hyperactivity disorder; ASD, autism spectrum disorder; DEE59, developmental and epileptic encephalopathy 59 (OMIM &#x23;617904); NDPLHS, neurodevelopmental disorder with poor language and loss of hand skills (OMIM &#x23;617903); NEDLC, neurodevelopmental disorder with language delay and variable cognitive abnormalities (OMIM &#x23;620502).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4-3">
<title>4.3 <italic>AJAP1</italic> variants</title>
<p>Proteomic analyses of brain tissue have identified AJAP1 as a primary interaction partner of GBRs (<xref ref-type="bibr" rid="B85">Schwenk et al., 2016</xref>). AJAP1 is a single-pass transmembrane protein broadly expressed in neurons, with its extracellular domain binding to SD1 of GB1a (<xref ref-type="fig" rid="F1">Figure 1a</xref>) (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>). Through this interaction, AJAP1 trans-synaptically recruits GB1a-containing GBRs to presynaptic sites, thereby influencing their synaptic localization and function (<xref ref-type="fig" rid="F1">Figure 1b</xref>) (<xref ref-type="bibr" rid="B30">Fruh et al., 2024</xref>).</p>
<p>Genetic variants in genes encoding GBR-associated proteins, such as AJAP1, may contribute to diseases resulting from GBR dysfunction. GWAS studies have implicated non-coding <italic>AJAP1</italic> variants in insomnia and dementia (<xref ref-type="table" rid="T1">Table 1</xref>). WES and chromosomal microarray analysis have identified individuals carrying either the <italic>AJAP1</italic> missense variant p.Trp183Cys, the frameshift variant p.I271Ffs&#x2a;24, the splice-site variant c.917 &#x2b; 1G&#x3e;C, or a complete deletion (<xref ref-type="table" rid="T5">Table 5</xref>) (<xref ref-type="bibr" rid="B30">Fruh et al., 2024</xref>). These individuals predominantly present with global developmental delay, ID, hypotonia, and/or epileptic seizures. These clinical features closely resemble those reported in individuals with LOF variants in <italic>GABBR1</italic> (<xref ref-type="table" rid="T2">Table 2</xref>) (<xref ref-type="bibr" rid="B15">Cediel et al., 2022</xref>), indicating that impaired GBR function may contribute to the underlying pathogenesis. The <italic>de novo</italic> AJAP1 variant p.Trp183Cys replaces a critical tryptophan at position 183 that is essential for SD1 binding. The <italic>de novo</italic> p.I271Ffs&#x2a;24 frameshift variant may trigger nonsense-mediated mRNA decay. However, any transcript escaping decay is expected to produce a truncated protein lacking the transmembrane and intracellular domains, while retaining the SD1 binding site. A paternally inherited complete <italic>AJAP1</italic> deletion results in LOF. The splice-site variant c.917 &#x2b; 1G&#x3e;C is predicted to disrupt normal splicing, potentially leading to nonsense-mediated decay, exon skipping, activation of a cryptic splice site, or intron retention.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>
<italic>AJAP1</italic> and <italic>PIANP</italic> missense and deletion variants.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Gene</th>
<th align="left">Protein/Variant</th>
<th align="left">Conditions</th>
<th align="left">gnomAD (v.4.1.0)</th>
<th align="left">CADD</th>
<th align="left">REVEL</th>
<th align="left">Alpha<break/>Missense</th>
<th align="left">Functional validation</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<italic>PIANP</italic>
</td>
<td align="left">p.Arg172Pro<break/>heterozygous</td>
<td align="left">musculoskeletal and nervous system abnormalities</td>
<td align="left">absent</td>
<td align="left">24.5</td>
<td align="left">0.198</td>
<td align="left">0.1709</td>
<td align="left">no</td>
<td align="left">DECIPHER</td>
</tr>
<tr>
<td align="left">
<italic>PIANP</italic>
</td>
<td align="left">p.Arg114&#x2a;<break/>homozygous</td>
<td align="left">global developmental delay, bilateral cryptorchidism, hypotonia</td>
<td align="left">6.20e-7</td>
<td align="left">38.0</td>
<td align="left"/>
<td align="left"/>
<td align="left">no</td>
<td align="left">
<xref ref-type="bibr" rid="B3">Anazi et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>AJAP1</italic>
</td>
<td align="left">p.Trp183Cys<break/>heterozygous</td>
<td align="left">epilepsy</td>
<td align="left">absent</td>
<td align="left">29.3</td>
<td align="left">0.759</td>
<td align="left">0.9982</td>
<td align="left">yes</td>
<td align="left">
<xref ref-type="bibr" rid="B30">Fruh et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>AJAP1</italic>
</td>
<td align="left">p.Pro242Ser<break/>nonmaternal (father not available)</td>
<td align="left">epilepsy, global developmental delay, motor delay, nonverbal, hypertonia, ID</td>
<td align="left">1.25e-6</td>
<td align="left">21.9</td>
<td align="left">0.042</td>
<td align="left">0.0875</td>
<td align="left">yes, benign</td>
<td align="left">
<xref ref-type="bibr" rid="B30">Fruh et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>AJAP1</italic>
</td>
<td align="left">p.Ile271Phefs&#x2a;24<break/>heterozygous</td>
<td align="left">epilepsy, global developmental delay, motor delay, nonverbal, ASD, tourette syndrome<break/>hypotonia</td>
<td align="left">absent</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">yes</td>
<td align="left">
<xref ref-type="bibr" rid="B30">Fruh et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>AJAP1</italic>
</td>
<td align="left">
<italic>AJAP1</italic> deletion chr1:4,505,547-5,384,043 (hg38) paternal (mosaic)</td>
<td align="left">speech delay, epilepsy, ID, hypotonia</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">no</td>
<td align="left">
<xref ref-type="bibr" rid="B30">Fruh et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>AJAP1</italic>
</td>
<td align="left">c.917 &#x2b; 1G&#x3e;C<break/>NM_018836.4 heterozygous</td>
<td align="left">speech delay, ID</td>
<td align="left">absent</td>
<td align="left">35</td>
<td align="left"/>
<td align="left"/>
<td align="left">no</td>
<td align="left">
<xref ref-type="bibr" rid="B30">Fruh et al. (2024)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Score thresholds: CADD (range 0&#x2013;99) benign &#x2264;22.7, deleterious &#x2265;25.3; REVEL (range 0&#x2013;1) benign &#x2264;0.29, deleterious &#x2265;0.644; AlphaMissense (range 0&#x2013;1) benign &#x3c;0.34, deleterious &#x3e;0.654. ASD, autism spectrum disorder; ID, intellectual disability.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>To strengthen a causal link between the p.Trp183Cys variant and GBR dysfunction, mice carrying the orthologous <italic>Ajap1</italic> p.Trp183Cys variant were generated. Heterozygous <italic>Ajap1</italic>
<sup>Trp183Cys/&#x2b;</sup> mice mimic the monoallelic p.Trp183Cys genotype observed in patients, enabling the investigation of GBR dysfunctions in the brain. Ultrastructural analysis revealed a significant reduction in presynaptic GBR levels in <italic>Ajap1</italic>
<sup>Trp183Cys/&#x2b;</sup> mice, demonstrating that replacement of tryptophan 183 impairs AJAP1&#x2019;s ability to recruit GBRs to synaptic terminals (<xref ref-type="fig" rid="F5">Figure 5</xref>). As a consequence, <italic>Ajap1</italic>
<sup>Trp183Cys/&#x2b;</sup> mice exhibited reduced GBR-mediated presynaptic inhibition at both excitatory and inhibitory synapses, along with impaired synaptic plasticity. Similar synaptic deficits were observed in <italic>Ajap1</italic>
<sup>&#x2212;/&#x2b;</sup> mice, which model the heterozygous deletion of <italic>AJAP1</italic> seen in patients. Both <italic>Ajap1</italic>
<sup>Trp183Cys/&#x2b;</sup> and <italic>Ajap1</italic>
<sup>&#x2212;/&#x2b;</sup> mice thus phenocopy the synaptic impairments reported in <italic>GB1a</italic>
<sup>&#x2212;/&#x2212;</sup> mice, which lack presynaptic GBRs (<xref ref-type="bibr" rid="B101">Vigot et al., 2006</xref>). Individuals with heterozygous LOF alleles in <italic>AJAP1</italic> therefore represent the first clinical cases of presynaptic GBR dysfunction.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>The pathogenic monoallelic <italic>de novo AJAP1</italic> p.Trp183Cys variant disrupts presynaptic GBR localization and function. <bold>(a)</bold> Under normal conditions, postsynaptic AJAP1 recruits GB1a/2 receptors to presynaptic terminals via a trans-synaptic interaction with the SD1 of the GB1a subunit. Presynaptic GB1a/2s receptors inhibit VGCCs (not shown), thereby regulating neurotransmitter release at both GABAergic and glutamatergic synapses. Ionotropic GABA or glutamate receptors are depicted in the postsynaptic membrane, along with inward currents (arrow). <bold>(b)</bold> In <italic>Ajap1</italic>
<sup>&#x2212;/&#x2212;</sup> mice, the absence of AJAP1 impairs presynaptic GBR recruitment, leading to reduced inhibitory control over GABA and glutamate release, and resulting in deficits in synaptic plasticity. <bold>(c)</bold> The pathogenic monoallelic <italic>de novo AJAP1</italic> p.Trp183Cys variant, modeled in <italic>Ajap</italic>
<sup>Trp183Cys/&#x2b;</sup> mice, replicates the synaptic dysfunction observed in <italic>Ajap1</italic>
<sup>
<italic>&#x2212;/&#x2212;</italic>
</sup> mice. This variant has a dysfunctional SD1 binding site, thereby impairing presynaptic localization of GBRs. As a result, GBR-mediated inhibition of neurotransmitter release is reduced, leading to deficits in synaptic plasticity and, in affected individuals, to seizures.</p>
</caption>
<graphic xlink:href="fphar-16-1634128-g005.tif">
<alt-text content-type="machine-generated">Illustrations depict synaptic processes in three panels labeled a, b, and c. Panel a shows normal recruitment of presynaptic GBRs. Panel b shows lack of recruitment due to absence of AJAP1, leading to increased glutamate and GABA release with decreased synaptic plasticity. Panel c shows reduced recruitment due to disrupted AJAP1 interaction from the Trp183Cys mutation, causing similar synaptic dysfunction as in panel b.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4-4">
<title>4.4 <italic>PIANP</italic> variants</title>
<p>PIANP is a single-pass transmembrane protein with sequence homology to AJAP1 (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>). Like AJAP1, it is a primary interaction partner of GBRs and binds to the SD1 domain of the GB1a subunit, albeit with a tenfold higher binding affinity (<xref ref-type="bibr" rid="B21">Dinamarca et al., 2019</xref>). The SD1-binding sites in PIANP and AJAP1 share only weak sequence homology, but PIANP also contains the conserved tryptophan residue essential for binding. Unlike AJAP1, PIANP lacks dendritic sorting motifs in its C-terminal intracellular domain and is expressed in both axons and dendrites. PIANP could therefore interact with GB1a in <italic>cis</italic> within axons and in <italic>trans</italic> across synapses in dendrites (<xref ref-type="fig" rid="F1">Figure 1b</xref>). Interestingly, however, PIANP cannot compensate for the loss of AJAP1 at mossy fiber synapses (<xref ref-type="bibr" rid="B30">Fruh et al., 2024</xref>).</p>
<p>A case study described a boy with a homozygous nonsense variant in <italic>PIANP</italic>, who presented with global developmental delay (<xref ref-type="bibr" rid="B106">Winkler et al., 2020</xref>; <xref ref-type="bibr" rid="B3">Anazi et al., 2017</xref>) (<xref ref-type="table" rid="T5">Table 5</xref>). An additional individual with a heterozygous variant in PIANP was reported to exhibit musculoskeletal and nervous system abnormalities (<xref ref-type="table" rid="T5">Table 5</xref>). The synaptic effects of <italic>PIANP</italic> loss were investigated in <italic>Pianp</italic> knockout mice, which model the homozygous human condition. Electrophysiological recordings revealed a loss of presynaptic GBR-mediated inhibition at hippocampal synapses, suggesting that PIANP is required for stabilizing presynaptic GBRs, either in <italic>cis</italic> or through a trans-synaptic mechanism, similar to AJAP1 (<xref ref-type="bibr" rid="B106">Winkler et al., 2020</xref>). Behavioral phenotyping in mice demonstrated that <italic>Pianp</italic> deficiency leads to context-dependent increases in anxiety, spatial learning deficits, an altered stress response, severely impaired social interactions, and enhanced repetitive behaviors&#x2014;all characteristic features of an autism spectrum disorder-like phenotype.</p>
</sec>
<sec id="s4-5">
<title>4.5 <italic>KCTD8</italic>, <italic>KCTD12</italic> and <italic>KCTD16</italic> variants</title>
<p>KCTD8, KCTD12, and KCTD16 interact with most GBRs in the brain and are considered auxiliary subunits of the receptor (<xref ref-type="bibr" rid="B84">Schwenk et al., 2010</xref>). They bind to both the receptor and the G protein, regulate the kinetics of the receptor response (<xref ref-type="bibr" rid="B28">Fritzius et al., 2024</xref>; <xref ref-type="bibr" rid="B96">Turecek et al., 2014</xref>), and also function as scaffolding proteins for effector channels such as VGCCs and HCN channels (<xref ref-type="bibr" rid="B75">Perez-Garci et al., 2025</xref>; <xref ref-type="bibr" rid="B94">Trovo et al., 2024</xref>). These roles suggest that dysfunctional KCTD proteins could contribute to pathologies associated with GBR dysfunction. GWAS have linked KCTD proteins to a range of neuropsychiatric and neurological conditions, including ASD, bipolar disorder, major depression, alcohol and opioid use disorders, insomnia, dementia, and brain development (<xref ref-type="table" rid="T1">Table 1</xref>). However, to date, no missense variants in <italic>KCTD</italic> genes have provided causal links to GBR-related pathologies.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>Early pharmacological studies were instrumental in uncovering potential disease associations and suggesting therapeutic indications for GBR agonists and antagonists. Today, advances in genetic and genomic technologies enable the establishment of firm causal links between gene variants and human disease. As a widely adopted diagnostic tool, WES has facilitated the discovery of numerous missense variants in <italic>GABBR1</italic> and <italic>GABBR2</italic>&#x2014;currently 80 in <italic>GABBR1</italic> and 433 in <italic>GABBR2</italic>, according to the ClinVar database at the time of this review. Missense and deletion variants have also been identified in <italic>AJAP1</italic> and <italic>PIANP</italic>, two proteins that selectively interact with presynaptic GBRs. Recombinant <italic>in vitro</italic> assays and mouse models have enabled the causal linking of several missense and deletion variants in <italic>GABBR1</italic>, <italic>GABBR2</italic>, <italic>AJAP1</italic>, and <italic>PIANP</italic> to a spectrum of neurodevelopmental disorders, including epileptic encephalopathy, Rett-like syndrome, global developmental delay, ID, ASD, and motor disorders. Among these, epilepsy is a frequent condition in individuals with <italic>GABBR1</italic> and <italic>GABBR2</italic> variants, consistent with the increased excitation&#x2013;inhibition ratio and seizure susceptibility observed in GBR-deficient mice. While <italic>GABBR1</italic> and <italic>GABBR2</italic> variants affect both pre- and postsynaptic GBRs, <italic>AJAP1</italic> variants selectively impair presynaptic GBRs but result in clinical manifestations similar to LOF variants in <italic>GABBR1</italic> or <italic>GABBR2</italic>. In general, human phenotypes extend and refine insights gained from mouse models carrying equivalent variants. While such models are valuable for dissecting synaptic mechanisms, they have limited predictive power for complex neuropsychiatric and cognitive outcomes. Conversely, hyperalgesia&#x2014;a robust phenotype in GBR-deficient mice&#x2014;has not yet been causally linked to any known pathogenic variants in humans.</p>
<p>A large number of <italic>GABBR1</italic> and <italic>GABBR2</italic> VUS in ClinVar are found in individuals with phenotypes typically associated with GBR-related disorders, and many of these VUS receive high pathogenicity scores from <italic>in silico</italic> prediction tools. This suggests that a substantial proportion of currently unclassified variants may, in fact, be disease-causing. Functional validation in recombinant assay systems offers a rapid and cost-effective approach to assess the impact of such VUS on GBR function. These assays can discriminate between LOF and GOF effects, thereby facilitating the establishment of mechanistic links between receptor dysfunction and specific disease phenotypes. Notably, variants exhibiting similar properties in functional assay systems have been classified under distinct clinical diagnoses&#x2014;for example, epileptic encephalopathy (EE) or Rett-like syndromes. This highlights the value of recombinant functional assays in enabling more accurate molecular diagnoses and refining genotype-phenotype correlations in affected individuals. A major bottleneck, however, is the limited availability of such functional platforms in clinical diagnostic settings&#x2014;underscoring the need for scalable, robust assay systems and improved computational tools. Promising advances include the use of molecular dynamics simulations, which have been applied to predict constitutively active GBR states and to enhance conventional pathogenicity assessments. In addition, variants in GBR-associated proteins&#x2014;such as Syt11, APP, and channels including VGCCs, HCN, and TRPV1&#x2014;may contribute to GBR dysfunction and disease. However, as these proteins either modulate GBR trafficking or act as downstream effectors, their functional impact is challenging to assess using standard recombinant assay systems.</p>
<p>Accurate genetic diagnosis and a mechanistic understanding of disease pathology form the foundation for developing targeted, individualized treatment strategies. In the case of GBRs, a broad pharmacological toolkit is already available, including agonists, inverse agonists, and both positive and negative allosteric modulators. In principle, CRISPR/Cas technologies can be used to rapidly generate mouse models carrying specific, recurrent pathogenic variants&#x2014;such as <italic>GABBR2</italic> p.Ala567Thr&#x2014;providing a powerful platform for testing pharmacological interventions and advancing precision medicine approaches.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>MG: Conceptualization., Writing &#x2013; original draft, Writing &#x2013; review and editing, Visualization. MS: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review and editing, Visualization. SA: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review and editing, Visualization, Funding acquisition. BB: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review and editing, Visualization, Funding acquisition.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by grants from the Swiss National Science Foundation to BB (grant numbers 31003A-172881 and 310030B-201291). S.E.A is supported by the Childcare Foundation.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<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="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<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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