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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neural Circuit</journal-id>
<journal-title>Frontiers in Neural Circuits</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neural Circuit</abbrev-journal-title>
<issn pub-type="epub">1662-5110</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fncir.2022.875873</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Non-Cell-Autonomous Factors Implicated in Parvalbumin Interneuron Maturation and Critical Periods</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Gibel-Russo</surname> <given-names>Rachel</given-names></name>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/269272/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Benacom</surname> <given-names>David</given-names></name>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
</contrib> 
<contrib contrib-type="author">
<name><surname>Di Nardo</surname> <given-names>Ariel A.</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff><institution>Centre for Interdisciplinary Research in Biology (CIRB), Coll&#x000E8;ge de France, CNRS, INSERM, Labex MemoLife, PSL Research University</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Paola Tognini, University of Pisa, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Gabriele Chelini, University of Trento, Italy; Ramon Guirado, University of Valencia, Spain; Annarita Patrizi, German Cancer Research Center (DKFZ), Germany</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Ariel A. Di Nardo <email>ariel.dinardo&#x00040;college-de-france.fr</email></corresp>
<fn fn-type="other" id="fn001"><p><sup>&#x02020;</sup>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>16</volume>
<elocation-id>875873</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Gibel-Russo, Benacom and Di Nardo.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Gibel-Russo, Benacom and Di Nardo</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>From birth to adolescence, the brain adapts to its environmental stimuli through structural and functional remodeling of neural circuits during critical periods of heightened plasticity. They occur across modalities for proper sensory, motor, linguistic, and cognitive development. If they are disrupted by early-life adverse experiences or genetic deficiencies, lasting consequences include behavioral changes, physiological and cognitive deficits, or psychiatric illness. Critical period timing is orchestrated not only by appropriate neural activity but also by a multitude of signals that participate in the maturation of fast-spiking parvalbumin interneurons and the consolidation of neural circuits. In this review, we describe the various signaling factors that initiate critical period onset, such as BDNF, SPARCL1, or OTX2, which originate either from local neurons or glial cells or from extracortical sources such as the choroid plexus. Critical period closure is established by signals that modulate extracellular matrix and myelination, while timing and plasticity can also be influenced by circadian rhythms and by hormones and corticosteroids that affect brain oxidative stress levels or immune response. Molecular outcomes include lasting epigenetic changes which themselves can be considered signals that shape downstream cross-modal critical periods. Comprehensive knowledge of how these signals and signaling factors interplay to influence neural mechanisms will help provide an inclusive perspective on the effects of early adversity and developmental defects that permanently change perception and behavior.</p></abstract>
<kwd-group>
<kwd>parvalbumin (PV)</kwd>
<kwd>homeoprotein</kwd>
<kwd>astrocyctes</kwd>
<kwd>oligodedrocytes</kwd>
<kwd>microglia</kwd>
<kwd>epigenetics</kwd>
<kwd>perineuronal net (PNN)</kwd>
</kwd-group>
<contract-num rid="cn001">ANR-18-CE16-0013-01</contract-num>
<contract-sponsor id="cn001">Agence Nationale de la Recherche<named-content content-type="fundref-id">10.13039/501100001665</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="150"/>
<page-count count="12"/>
<word-count count="11682"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="introduction" id="s1">
<title>Introduction</title>
<p>Critical periods (CPs) of heightened plasticity shape neural circuits according to experience during postnatal brain development (Reh et al., <xref ref-type="bibr" rid="B114">2020</xref>). These distinct plasticity windows occur not only across primary sensory areas, such as the primary visual and auditory cortices but also in multimodal areas, such as the insular cortex and the medial prefrontal cortex (mPFC; Testa-Silva et al., <xref ref-type="bibr" rid="B136">2012</xref>; Gogolla et al., <xref ref-type="bibr" rid="B48">2014</xref>). Separate CPs can occur at the same time in different brain areas, but complex functions may depend on the closure of an upstream &#x0201C;primary&#x0201D; CP and thus require sequential CPs (Nakamura et al., <xref ref-type="bibr" rid="B100">2020</xref>). CP timing is driven by the maturation of fast-spiking (FS) inhibitory interneurons that express parvalbumin (PV). While PV cells are located throughout the brain, FS-PV cells residing in supragranular cortical layers drive CP onset and circuit rewiring (Fagiolini et al., <xref ref-type="bibr" rid="B37">2004</xref>). They receive excitatory input from local pyramidal cells as well as long-range inputs from the thalamus and hippocampus (Faini et al., <xref ref-type="bibr" rid="B38">2018</xref>; Yang et al., <xref ref-type="bibr" rid="B149">2021</xref>), and they receive inhibitory inputs from themselves (autapses), from other FS-PV cells, and from SST, VIP, and CCK interneurons (M&#x000E9;ndez and Bacci, <xref ref-type="bibr" rid="B93">2011</xref>). They also connect with dopaminergic, serotonergic, and cholinergic fibers (Sun et al., <xref ref-type="bibr" rid="B131">2019</xref>). The physiological maturation of FS-PV cells results in strong inhibitory output on the soma or the axon initial segment of nearby pyramidal cells, which provides control of excitatory currents, alters the excitatory&#x02013;inhibitory (E/I) balance, permits large-scale changes in neural circuitry, and influences rhythmic oscillations (Sohal et al., <xref ref-type="bibr" rid="B128">2009</xref>; Hu et al., <xref ref-type="bibr" rid="B60">2014</xref>).</p>
<p>As FS-PV cells mature, they become enwrapped by perineuronal nets (PNNs) composed of glycans, proteoglycans, and proteins originating from either FS-PV cells or surrounding cells. PNNs are a condensed extracellular matrix (ECM) providing specific electrical properties and a specialized micro-environment that stabilizes synapses and attracts non-cell-autonomous factors (for reviews, see Testa et al., <xref ref-type="bibr" rid="B135">2019</xref>; Carulli and Verhaagen, <xref ref-type="bibr" rid="B17">2021</xref>). Precise PNN accumulation, in terms of both composition and timing, is implicated in CP onset but plays a major role as a molecular brake limiting structural plasticity for CP closure (for review, see Fawcett et al., <xref ref-type="bibr" rid="B41">2019</xref>). Removal of PNNs can allow for functional plasticity in adult rodents (Pizzorusso et al., <xref ref-type="bibr" rid="B110">2002</xref>; Beurdeley et al., <xref ref-type="bibr" rid="B9">2012</xref>).</p>
<p>Non-cell-autonomous factors (summarized in <xref ref-type="fig" rid="F1">Figure 1</xref>) also shape the connectivity and the electrical properties of FS-PV cells during CPs and determine the extent to which the environment&#x02014;local, systemic, and external&#x02014;can affect cortical circuit dynamics throughout life. A precise and detailed understanding of such factors will help identify potential modulators of plasticity in both childhood and adulthood in order to reverse or repair brain disorders and trauma.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Summary of non-cell-autonomous factors involved in FS-PV cell physiology. <bold>(1)</bold> Dendrites: Non-cell-autonomous factors stabilize synapse number and strength of sensory inputs that drive CP onset and FS-PV cell synapse maturation. <bold>(2)</bold> Signaling pathways: Non-cell-autonomous factors bind specific receptors or glycosaminoglycan motifs in PNNs. BDNF-TRKB triggers activity-dependent pathways. OTX2 binding to CSPGs leads to cell internalization and translocation to the nucleus. SEMA3A interacts with CSPGs and stabilizes synapses on FS-PV cell soma. <bold>(3)</bold> PNN physiology: PNNs develop around FS-PV cells during CP, providing neuroprotection against oxidative damage induced by the fast-spiking activity of FS-PV cells. PNNs stabilize neural networks and limit synapses formation. Secreted ECM enzymes provide turnover for PNN dynamics, while other non-cell-autonomous factors participate in PNN stabilization. <bold>(4)</bold> Epigenetics: During the CP, the FS-PV cell transcriptome is regulated in response to the cellular environment <italic>via</italic> histone PTMs and DNA methylation. OTX2 affects gene expression and chromatin conformation in part through transcription regulation <italic>Gadd45b/g</italic>. <bold>(5)</bold> Axon: FS-PV cell outputs on principal cells generate gamma rhythms. Non-cell-autonomous factors participate in axon myelination and the stabilization of pre-synaptic receptors. Color code: In green, non-cell-autonomous factors contributing to CP onset; in red, non-cell-autonomous factors contributing to CP closure; in blue, non-cell-autonomous factors contributing in both opening and closure of CP. Abbreviations: CP, critical period; PNN, perineuronal net; FS-PV, fast-spiking-parvalbumin; CSPG, chondroitin sulfate proteoglycans; PTM, post-translational modification.</p></caption>
<graphic xlink:href="fncir-16-875873-g0001.tif"/>
</fig>
</sec>
<sec id="s2">
<title>Non-Cell-Autonomous Factors from Local Cells for Short-Range Interactions</title>
<sec id="s2-1">
<title>Cellular Sources</title>
<p>Short-range non-cell-autonomous proteins that affect FS-PV cell function come from surrounding neurons, astrocytes, microglia, and oligodendrocytes. While these cells can interact and exchange factors within the synaptic compartment to guide synapse formation and function, they also secrete factors that signal through the ECM (<xref ref-type="table" rid="T1">Table 1</xref>). All of these cell types secrete neurotrophic factors, proteases, and PNN components, while astrocytes and microglia also release proteins that shape synaptic function. Astrocytes participate in synapse formation, connectivity, transmission, and plasticity by regulating the extracellular ionic environment and recycling neurotransmitters (for review, see Santello et al., <xref ref-type="bibr" rid="B122">2019</xref>), and by also secreting proteoglycans (for review, see Wiese et al., <xref ref-type="bibr" rid="B146">2012</xref>). Microglia respond to changes in neural activity and help shape circuitry through various mechanisms including phagocytosis or through the secretion of active peptides and enzymes (for review, see Salter and Beggs, <xref ref-type="bibr" rid="B121">2014</xref>). Both astrocytes and microglia have recently been implicated as active participants in CP plasticity (Sipe et al., <xref ref-type="bibr" rid="B126">2016</xref>; Kalish et al., <xref ref-type="bibr" rid="B65">2020</xref>; Ackerman et al., <xref ref-type="bibr" rid="B2">2021</xref>; Ribot et al., <xref ref-type="bibr" rid="B117">2021</xref>). Beyond secreting some of the above factors, oligodendrocytes provide myelination, which initially coincides with CP opening in the sensory cortices but ultimately participates as an important molecular brake for CP closure (for review, see Fletcher et al., <xref ref-type="bibr" rid="B45">2021</xref>). In order to focus on more widely dispersed factors, we chose to not elaborate further on neurotransmitters, synaptic pruning, adhesion molecules, and myelination.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption><p>Sources, targets, and functions of non-cell-autonomous molecules affecting FS-PV cell activity.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center"><bold>Source</bold></th>
<th align="center"><bold>Molecule</bold></th>
<th align="center"><bold>FS-PV cell target</bold></th>
<th align="center"><bold>Function</bold></th>
<th align="center"><bold>Ref.</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Neurons</bold></td>
<td align="center">ADAMTS-8/-15</td>
<td align="center">ECM</td>
<td align="center">ECM remodeling, Synapse reorganization</td>
<td align="center"><bold>1, 2</bold></td>
</tr>
<tr>
<td/>
<td align="center">BDNF</td>
<td align="center">TRKB</td>
<td align="center">Maturation of GABAergic circuit, Synaptic transmission and plasticity, CP onset</td>
<td align="center"><bold>3</bold></td>
</tr>
<tr>
<td/>
<td align="center">NARP</td>
<td align="center">AMPAR</td>
<td align="center">AMPAR clustering</td>
<td align="center"><bold>4</bold></td>
</tr>
<tr>
<td/>
<td align="center">MMP2/9</td>
<td align="center">ECM</td>
<td align="center">Functional plasticity, ECM remodeling, Synapse reorganization</td>
<td align="center"><bold>5</bold></td>
</tr>
<tr>
<td/>
<td align="center">TNR</td>
<td align="center">CSPG</td>
<td align="center">ECM assembly</td>
<td align="center"><bold>6</bold></td>
</tr>
<tr>
<td/>
<td align="center">tPA</td>
<td align="center">BDNF</td>
<td align="center">Conversion of pro-BDNF into m-BDNF</td>
<td align="center"><bold>7, 8</bold></td>
</tr>
<tr>
<td align="left"><bold>Astrocytes</bold></td>
<td align="center">ADAMTS-1/-4/-5/-9</td>
<td align="center">ECM</td>
<td align="center">Functional plasticity, ECM remodeling, Synapse reorganization</td>
<td align="center"><bold>1,9</bold></td>
</tr>
<tr>
<td/>
<td align="center">BDNF</td>
<td align="center">TRKB</td>
<td align="center">Putative (see Neurons)</td>
<td align="center"><bold>10</bold></td>
</tr>
<tr>
<td/>
<td align="center">CSPG</td>
<td align="center">ECM</td>
<td align="center">ECM remodeling</td>
<td align="center"><bold>11</bold></td>
</tr>
<tr>
<td/>
<td align="center">GPC4</td>
<td align="center">RPTP</td>
<td align="center">Synapse maturation</td>
<td align="center"><bold>12</bold></td>
</tr>
<tr>
<td/>
<td align="center">MMP9</td>
<td align="center">ECM</td>
<td align="center">Functional plasticity, ECM remodeling, Synapse reorganization</td>
<td align="center"><bold>5,13</bold></td>
</tr>
<tr>
<td/>
<td align="center">SPARCL1</td>
<td align="center">NRX1, NRGL1</td>
<td align="center">Synapse formation</td>
<td align="center"><bold>14, 15</bold></td>
</tr>
<tr>
<td/>
<td align="center">tPA</td>
<td align="center">BDNF</td>
<td align="center">tPA recycling</td>
<td align="center"><bold>16</bold></td>
</tr>
<tr>
<td align="left"><bold>Microglia</bold></td>
<td align="center">BDNF</td>
<td align="center">TRKB</td>
<td align="center">Putative (see Neurons)</td>
<td align="center"><bold>10, 17</bold></td>
</tr>
<tr>
<td/>
<td align="center">Cathepsin-S</td>
<td align="center">CSPG</td>
<td align="center">ECM remodeling</td>
<td align="center"><bold>18</bold></td>
</tr>
<tr>
<td/>
<td align="center">MMP9</td>
<td align="center">ECM</td>
<td align="center">Functional plasticity, ECM remodeling, Synapse reorganization</td>
<td align="center"><bold>5,19</bold></td>
</tr>
<tr>
<td align="left"><bold>Oligodendrocytes</bold></td>
<td align="center">ADAMTS-4</td>
<td align="center">ECM</td>
<td align="center">ECM remodeling</td>
<td align="center"><bold>2</bold></td>
</tr>
<tr>
<td/>
<td align="center">BDNF</td>
<td align="center">TRKB</td>
<td align="center">Putative (see Neurons)</td>
<td align="center"><bold>10, 20</bold></td>
</tr>
<tr>
<td/>
<td align="center">MMP9</td>
<td align="center">ECM</td>
<td align="center">Functional plasticity, ECM remodeling, Synapse reorganization</td>
<td align="center"><bold>5</bold></td>
</tr>
<tr>
<td/>
<td align="center">TNR</td>
<td align="center">CSPG</td>
<td align="center">ECM assembly</td>
<td align="center"><bold>6</bold></td>
</tr>
<tr>
<td/>
<td align="center">tPA</td>
<td align="center">BDNF</td>
<td align="center">Putative (see Neurons)</td>
<td align="center"><bold>8</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Abbreviations: CSPG, chondroitin sulfate proteoglycan; CP, critical period; ECM, extracellular matrix; FS-PV, fast-spiking-parvalbumin. References: 1. Rossier et al. (<xref ref-type="bibr" rid="B118">2015</xref>); 2. Levy et al. (<xref ref-type="bibr" rid="B79">2015</xref>); 3. Chao (<xref ref-type="bibr" rid="B22">2003</xref>); 4. Chang et al. (<xref ref-type="bibr" rid="B21">2010</xref>); 5. Reinhard et al. (<xref ref-type="bibr" rid="B115">2015</xref>); 6. Carulli et al. (<xref ref-type="bibr" rid="B18">2006</xref>); 7. Mataga et al. (<xref ref-type="bibr" rid="B91">2002</xref>); 8. Louessard et al. (<xref ref-type="bibr" rid="B81">2016</xref>); 9. Lemarchant et al. (<xref ref-type="bibr" rid="B74">2013</xref>); 10. Dougherty et al. (<xref ref-type="bibr" rid="B35">2000</xref>); 11. Wiese et al. (<xref ref-type="bibr" rid="B146">2012</xref>); 12. Dowling and Allen (<xref ref-type="bibr" rid="B36">2018</xref>); 13. Ribot et al. (<xref ref-type="bibr" rid="B117">2021</xref>); 14. Bradshaw (<xref ref-type="bibr" rid="B11">2012</xref>); 15. Singh et al. (<xref ref-type="bibr" rid="B125">2016</xref>); 16. Casse et al. (<xref ref-type="bibr" rid="B19">2012</xref>); 17. Parkhurst et al. (<xref ref-type="bibr" rid="B107">2013</xref>); 18. Pantazopoulos et al. (<xref ref-type="bibr" rid="B106">2020</xref>); 19. Venturino et al. (<xref ref-type="bibr" rid="B143">2021</xref>); 20. Bagayogo and Dreyfus (<xref ref-type="bibr" rid="B5">2009</xref>)</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-2">
<title>Growth Factors</title>
<p>One of the first non-cell-autonomous molecules discovered to be involved in CPs was brain-derived neurotrophic factor (BDNF), which signals through interaction with its canonical receptor TRKB on FS-PV cells. BDNF is typically secreted as pro-BDNF which is generally cleaved by plasmin to release BDNF (Lu et al., <xref ref-type="bibr" rid="B83">2005</xref>) that then activates TRKB phosphorylation to initiate intracellular cascades of early/immediate-genes leading ultimately to FS-PV cell maturation for CP plasticity onset (Huang et al., <xref ref-type="bibr" rid="B61">1999</xref>). Loss of function studies of TRKB receptors in FS-PV cells demonstrate global changes in network connectivity, as well as behavioral, autistic-like phenotypes (Xenos et al., <xref ref-type="bibr" rid="B148">2018</xref>), probably caused by brain-wide dysregulation of CPs. The sensitivity of FS-PV cells to BDNF may be dampened by PNNs, which activate protein tyrosine phosphatase sigma (PTP&#x003C3;) receptors (Lesnikova et al., <xref ref-type="bibr" rid="B78">2021</xref>). When bound to chondroitin sulfate proteoglycan (CSPG), PTP&#x003C3; promotes TRKB dephosphorylation to abolish signaling and limit BDNF-induced plasticity in FS-PV cells. Thus FS-PV cells are likely less responsive to BDNF after CP closure. Although astrocytes, microglia, and oligodendrocytes also secrete pro-BDNF (Dougherty et al., <xref ref-type="bibr" rid="B35">2000</xref>), these cell types have not been formally shown to affect FS-PV TRKB signaling in cortical CPs. Nevertheless, it remains highly likely that they participate. For example, secretion of BDNF from microglia is critical for learning-dependent synaptic plasticity in the motor cortex (Parkhurst et al., <xref ref-type="bibr" rid="B107">2013</xref>), and affects inhibitory synaptic transmission <italic>via</italic> TrkB signaling in the spinal cord (Coull et al., <xref ref-type="bibr" rid="B25">2005</xref>) and hippocampus (Zheng et al., <xref ref-type="bibr" rid="B150">2011</xref>). Also, oligodendrocytes actively participate in synaptic transmission and plasticity through BDNF signaling in the developing brain (Jang et al., <xref ref-type="bibr" rid="B64">2019</xref>).</p>
<p>Neuregulin-1 (NRG1), a trophic factor containing an epidermal growth factor (EGF) domain, is expressed in astrocytes and in both inhibitory and excitatory cortical neurons, and exists in multiple isoforms including the soluble types I and II (Liu et al., <xref ref-type="bibr" rid="B80">2011</xref>). NRG1 signals through the ErbB tyrosine receptor kinase family and specific NRG1/ErbB4 signaling in FS-PV cells regulate connectivity (Fazzari et al., <xref ref-type="bibr" rid="B42">2010</xref>) and CP plasticity (Gu et al., <xref ref-type="bibr" rid="B53">2016</xref>; Sun et al., <xref ref-type="bibr" rid="B132">2016</xref>). While ErbB4 is expressed by FS-PV cells, it remains unclear whether NRG1 signaling is autocrine or paracrine, given that both FS-PV cells and excitatory neurons can release NRG1 into the extracellular space (Grieco et al., <xref ref-type="bibr" rid="B51">2020</xref>). Interestingly, NRG1 signaling also involves oligodendrocytes that express ErbB3. In the mouse mPFC, NRG1/ErbB3 signaling is essential during a post-weaning CP for social learning which affects oligodendrocyte maturation and lifelong myelination (Makinodan et al., <xref ref-type="bibr" rid="B87">2012</xref>). The NRG1/ErbB4 signal also involves VIP interneurons in the mPFC, and NRG1 is gaining attention as a therapeutic target for psychiatric disorders (Shi and Bergson, <xref ref-type="bibr" rid="B123">2020</xref>).</p>
</sec>
<sec id="s2-3">
<title>Perineuronal Nets</title>
<p>Built with diverse components originating from neurons, astrocytes, and oligodendrocytes, PNNs are lattice-like structures primarily composed of hyaluronan (HA), CSPGs, and cross-linking proteins from the link protein family (HAPLNs) and tenascin-R (TNR; for reviews, see Fawcett et al., <xref ref-type="bibr" rid="B41">2019</xref>; Testa et al., <xref ref-type="bibr" rid="B135">2019</xref>). PNN assembly is activity-dependent (Dityatev et al., <xref ref-type="bibr" rid="B34">2007</xref>), requiring sensory input during postnatal development in order to form (Pizzorusso et al., <xref ref-type="bibr" rid="B110">2002</xref>; McRae et al., <xref ref-type="bibr" rid="B92">2007</xref>; Kind et al., <xref ref-type="bibr" rid="B68">2013</xref>), and their maintenance in adulthood can be regulated by local network activity (Devienne et al., <xref ref-type="bibr" rid="B30">2021</xref>). Physiologically, PNNs act as molecular brakes that progressively decrease plasticity as they condense around FS-PV cell soma and proximal dendrites during the CP, and eventually restrict plasticity in adulthood (Pizzorusso et al., <xref ref-type="bibr" rid="B110">2002</xref>). Through enzymatic removal of PNNs <italic>in vivo</italic>, it has been shown that PNNs can affect FS-PV cell excitability and spontaneous activity (Lensj&#x000F8; et al., <xref ref-type="bibr" rid="B77">2017</xref>; Hayani et al., <xref ref-type="bibr" rid="B56">2018</xref>; Carceller et al., <xref ref-type="bibr" rid="B16">2020</xref>), and selectively dampen thalamic excitation (Faini et al., <xref ref-type="bibr" rid="B38">2018</xref>).</p>
<p>PNNs protect neurons from oxidative stress and toxic proteins (Miyata et al., <xref ref-type="bibr" rid="B95">2007</xref>; Cabungcal et al., <xref ref-type="bibr" rid="B15">2013</xref>; Suttkus et al., <xref ref-type="bibr" rid="B133">2014</xref>), and their polyanionic structure limits the toxicity inherent to the high activity of FS-PV cells by buffering the cations involved in neurotransmission (Br&#x000FC;ckner et al., <xref ref-type="bibr" rid="B13">1993</xref>; H&#x000E4;rtig et al., <xref ref-type="bibr" rid="B55">1999</xref>). They also interact with signaling molecules, such as SEMA3A and OTX2 (described below), and potentially affect the dynamics of membrane-bound proteins. While OTX2 has been shown to regulate the expression of CSPGs within FS-PV cells (Hou et al., <xref ref-type="bibr" rid="B59">2017</xref>; Lee et al., <xref ref-type="bibr" rid="B73">2017</xref>), a complete picture of PNN molecule expression regulation has been difficult to obtain given that their components come from multiple sources. While FS-PV cells express all of the required molecules, including HA and HAPLNs, surrounding glial cells and other neurons can also contribute CSPGs and TNR (Testa et al., <xref ref-type="bibr" rid="B135">2019</xref>). Thus, the assembly of PNNs around FS-PV cells has the potential to be greatly influenced by changes in the expression of neighboring cells. The picture is further complicated by the regulation of PNN structure by multiple metalloproteases (described below) that again come from multiple sources. In fact, although PNNs are often thought of as fixed structures, they remain dynamic in adulthood in response to changes in FS-PV activity and diurnal fluctuations (Pantazopoulos et al., <xref ref-type="bibr" rid="B106">2020</xref>; Devienne et al., <xref ref-type="bibr" rid="B30">2021</xref>; Harkness et al., <xref ref-type="bibr" rid="B54">2021</xref>).</p>
</sec>
<sec id="s2-4">
<title>Proteases</title>
<p>Tissue-type plasminogen activator protein (tPA), originally identified as an anti-clotting agent in the blood, is a major serine protease in the brain that plays several roles in brain plasticity (for review, see Hensch, <xref ref-type="bibr" rid="B57">2005</xref>) and is expressed by neurons and oligodendrocytes (Louessard et al., <xref ref-type="bibr" rid="B81">2016</xref>). Proteolysis by tPA permits experience-dependent spine motility by degrading ECM and cell-adhesion proteins. It converts plasminogen to plasmin, which in turn not only degrades ECM but also activates metalloproteases, chemokines, and neurotrophic factors, such as BDNF. tPA is released by both axons and dendrites through exosomal vesicles, with axonal release being activity-dependent (for review, see Lenoir et al., <xref ref-type="bibr" rid="B76">2019</xref>). Astrocytes also regulate tPA levels, possibly by expressing tPA, but also by recycling the tPA secreted by neurons in the synaptic cleft so that it can then bind to various receptors and act as a neuromodulator (Casse et al., <xref ref-type="bibr" rid="B19">2012</xref>). Permissive amounts of tPA may therefore integrate functional and structural changes downstream of the E/I balance for CP plasticity.</p>
<p>Matrix metalloproteinases (MMPs) are a family of zinc-binding endopeptidases that selectively degrade proteoglycans, growth factors, cytokines, chemokines, myelin-associated proteins, and cell adhesion molecules in the ECM and PNNs (for review, see Huntley, <xref ref-type="bibr" rid="B62">2012</xref>). MMPs can be activated by tPA and, in turn, be removed by tissue inhibitors of metalloproteinases (TIMPs). While several MMPs are found in the brain, MMP9 is the only member known to be secreted by astrocytes, oligodendrocytes, microglia, and neurons (for review, see Reinhard et al., <xref ref-type="bibr" rid="B115">2015</xref>). MMP9 regulates both functional plasticity and ECM remodeling by shaping the pericellular and synaptic environment and by activating signaling molecules. CP closure is accompanied by changes in astrocytic networks that dampen their secretion of MMP9 and favor PNN formation (Ribot et al., <xref ref-type="bibr" rid="B117">2021</xref>). Conversely, MMP9 secreted by microglia can remodel PNNs in adult plasticity paradigms (Venturino et al., <xref ref-type="bibr" rid="B143">2021</xref>). MMP9 knock-out mice show attenuated plasticity during CPs and show subtle alterations in microglia morphology suggesting microglia function is changed (Kelly et al., <xref ref-type="bibr" rid="B66">2015</xref>). In keeping with the possibility that MMPs can also liberate molecules that impede neurite outgrowth, recent evidence shows that inhibition of MMP2 and MMP9 can either limit or promote adult visual cortex plasticity depending on the nature of the insult (Akol et al., <xref ref-type="bibr" rid="B3">2022</xref>).</p>
<p>Other proteases include cathepsin-S and enzymes from the ADAMTS (A Disintegrin and Metalloproteinase with Thrombospondin motifs) family. Cathepsin-S, which is expressed and secreted by microglia throughout the adult brain, is a member of the lysosomal cysteine protease family that can degrade proteoglycans, and was recently shown to digest PNNs in a circadian manner (see below; Pantazopoulos et al., <xref ref-type="bibr" rid="B106">2020</xref>). Similar to MMPs, ADAMTSs are also zinc-binding endopeptidases, but select members expressed in the brain show substrate specificity for aggrecan and other CSPGs within the ECM and the PNNs of FS-PV cells (Kelwick et al., <xref ref-type="bibr" rid="B67">2015</xref>). While they are mainly expressed by astrocytes (Lemarchant et al., <xref ref-type="bibr" rid="B74">2013</xref>), ADAMTS-8 and -15 were found to be expressed in somatosensory FS-PV cells (Rossier et al., <xref ref-type="bibr" rid="B118">2015</xref>), suggesting more widespread expression patterns are possible. Although ADAMTS8 and ADAMTS9 have been shown to be upregulated during CPs (Lee et al., <xref ref-type="bibr" rid="B73">2017</xref>; Apulei et al., <xref ref-type="bibr" rid="B4">2019</xref>), how this family of proteases is regulated remains unknown.</p>
</sec>
<sec id="s2-5">
<title>Glycoproteins</title>
<p>Several secreted glycoproteins, including glypicans (GPC), pentraxin 1 (NPTX1), and neuronal activity-regulated pentraxin (NARP or NPTX2), fall within related pathways that may affect FS-PV cell function. Glypicans are a family of heparan sulfate proteoglycans that are localized to the neuronal membrane <italic>via</italic> glycosylphosphatidylinositol (GPI) anchor and can be released from the cell surface upon cleavage (Filmus et al., <xref ref-type="bibr" rid="B44">2008</xref>). Although not formally implicated in CP regulation, GPC4 is an astrocyte-secreted protein expressed throughout early postnatal development (Dowling and Allen, <xref ref-type="bibr" rid="B36">2018</xref>), and has NARP as a downstream target that regulates FS-PV cells (see below). GPC4 binds to presynaptic type 2a receptor protein tyrosine phosphatases (RPTPs) inducing the release of NPTX1 (Farhy-Tselnicker et al., <xref ref-type="bibr" rid="B40">2017</xref>). NPTX1 makes a heterocomplex with NARP, which binds to AMPA receptors and triggers their clustering in post-synaptic neurons. NARP is an immediate early gene that regulates synaptic strength and is enriched selectively at excitatory synapses impinging on FS-PV cells (Chang et al., <xref ref-type="bibr" rid="B21">2010</xref>). In <italic>Narp<sup>&#x02212;/&#x02212;</sup></italic> mice, inhibition from FS-PV cells is impaired at the onset of ocular dominance CP plasticity (Gu et al., <xref ref-type="bibr" rid="B52">2013</xref>). Interestingly, enzymatic treatment to remove PNNs also removes NARP from the surface of neuronal dendrites (Gu et al., <xref ref-type="bibr" rid="B52">2013</xref>). Conversely, NARP enhances PNN formation (Van&#x02019;t Spijker et al., <xref ref-type="bibr" rid="B141">2019</xref>), suggesting that there is a feedback interaction between NARP and PNNs. Given that GPCs are expressed in the choroid plexus and secreted into the cerebrospinal fluid (CSF; Lugert et al., <xref ref-type="bibr" rid="B85">2017</xref>; Dani et al., <xref ref-type="bibr" rid="B27">2021</xref>), their involvement in CP regulation may have been missed due to long-range signaling (see below).</p>
<p>In the visual cortex, the synapse-regulating protein SPARCL1 (Hevin) is a glycoprotein secreted by astrocytes and implicated in experience-dependent plasticity. Once secreted, it can participate in the formation of synapses by linking presynaptic Neurexin-1 (NRX1) to postsynaptic Neuroligin 1 (NLGN1), which together regulate synaptic signal transmission (Gan and S&#x000FC;dhof, <xref ref-type="bibr" rid="B46">2020</xref>). In the visual cortex, SPARCL1 has been shown to bridge thalamocortical afferents and be required for ocular dominance CP plasticity (Singh et al., <xref ref-type="bibr" rid="B125">2016</xref>; Ribic et al., <xref ref-type="bibr" rid="B116">2019</xref>). SPARCL1 also has a synaptogenic activity that can be inhibited by ADAMTS4 and MMPs (1, 3, and 9), which cleave SPARCL1 to generate a SPARC-like fragment (SLF) that in turn competes with SPARCL1 (Bradshaw, <xref ref-type="bibr" rid="B11">2012</xref>).</p>
<p>Plasticity states and interneuron maturation are also influenced by levels of long polysialic acid (PSA) chains attached to neural cell adhesion molecules (NCAM). PSA-NCAM is expressed by both glial cells and neurons and provides a highly hydrated polymer that lubricates extracellular space and minimizes surface interactions between cells, and the NCAM extracellular region (NCAM-EC) can be released as a soluble fragment (for review, see Rutishauser, <xref ref-type="bibr" rid="B119">2008</xref>). In the juvenile visual cortex, the expression of PSA-NCAM undergoes a dramatic activity-dependent decline that is permissive for the maturation of FS-PV cells (Di Cristo et al., <xref ref-type="bibr" rid="B31">2007</xref>). In the rodent mPFC, PSA-NCAM expression is restricted to interneurons, at least in the adult, and plays a dopamine-dependent permissive role for inhibitory circuit structural plasticity (Castillo-G&#x000F3;mez et al., <xref ref-type="bibr" rid="B20">2011</xref>). Conversely, non-PSA NCAM participates in the removal of interneuron synapses, but this process can be inhibited through NCAM interaction with CSPGs, further highlighting the role of PNNs for synaptic stability (Sullivan et al., <xref ref-type="bibr" rid="B130">2018</xref>). Finally, NCAM-EC has been shown to restrict neurite branching and outgrowth, and its overexpression stunts FS-PV cell maturation in the mPFC (Brennaman and Maness, <xref ref-type="bibr" rid="B12">2008</xref>). Thus, while NCAM is not strictly a non-cell-autonomous factor, its various forms and fragments can impact the ECM and FS-PV cell plasticity, thereby influencing juvenile CPs and adult functions. Indeed, its misexpression is linked with chronic stress and psychiatric disorders (Bueno-Fernandez et al., <xref ref-type="bibr" rid="B14">2021</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>Systemic and Non-Cell-Autonomous Factors for Long-Range Interactions</title>
<sec id="s3-1">
<title>Cellular and Systemic Sources</title>
<p>Brain plasticity can be guided by signals coming from the periphery. Certain molecules in the cortical vasculature can pass the blood-brain barrier (BBB), either through transmembrane diffusion, active transport, or transcytosis (for reviews, see Abbott et al., <xref ref-type="bibr" rid="B1">2010</xref>; Sweeney et al., <xref ref-type="bibr" rid="B134">2019</xref>). Some diffuse through the extracellular space while others are mediated by astrocytic endfeet and local microglia. The choroid plexus is also highly vascularized and provides the blood-cerebrospinal fluid barrier (BCSFB) that is permissively different than the BBB and controls leukocyte entry into the CSF (for reviews, see Redzic, <xref ref-type="bibr" rid="B113">2011</xref>; Ghersi-Egea et al., <xref ref-type="bibr" rid="B47">2018</xref>; Cui et al., <xref ref-type="bibr" rid="B26">2021</xref>). These structures are also responsive to corticosteroids and hormones. Furthermore, the choroid plexus secretes CSF which provides factors that regulate neural function and participates in the clearance of waste metabolites from the extracellular space (for reviews, see Praetorius and Damkier, <xref ref-type="bibr" rid="B111">2017</xref>; Fame and Lehtinen, <xref ref-type="bibr" rid="B39">2020</xref>). Diurnal rhythms also affect choroid plexus function, resulting in altered CSF composition, parenchyma clearance, and brain homeostasis (Myung et al., <xref ref-type="bibr" rid="B98">2018</xref>).</p>
</sec>
<sec id="s3-2">
<title>Circadian Rhythms</title>
<p>Repeated daily patterns in gene expression, physiology, and behavior are driven by self-sustained biological clocks of approximately 24 h (circadian). A feedback loop between the transcription factors CLOCK and BMAL1 drives not only the central diurnal oscillator within the hypothalamic suprachiasmatic nucleus but is also observed in nearly all mammalian tissues (for review, see Lowrey and Takahashi, <xref ref-type="bibr" rid="B82">2011</xref>). The choroid plexus also provides a strong circadian clock component that imparts diurnal changes in CSF composition and production, which affects not only the timing of metabolite clearance in the brain but also the distribution of clock signals to other brain regions (Myung et al., <xref ref-type="bibr" rid="B98">2018</xref>). By using <italic>Clock</italic> knock-out mouse models, it was revealed that circadian-dependent expression of <italic>Per1</italic> and <italic>Dbp</italic> in the primary visual cortex is mediated by the CLOCK:BMAL1 oscillator (Kobayashi et al., <xref ref-type="bibr" rid="B70">2015</xref>). These mice have delayed CP timing, and it was further shown that <italic>Clock</italic> and <italic>Bmal1</italic> expression in FS-PV cells participates in their maturation (Kobayashi et al., <xref ref-type="bibr" rid="B70">2015</xref>). Mice mutants of <italic>Clock</italic> have altered nursing behavior that impacts cross-fostered wild-type pups. At postnatal day 14, these pups have reduced levels of brain serotonin, whose homeostasis during the early postnatal period is critical for normal emotional behavior in adulthood (Koizumi et al., <xref ref-type="bibr" rid="B71">2013</xref>). Indeed, these animals have increased adult anxiety-related behavior. Furthermore, the photoperiod received during pre- and postnatal periods imprints the intrinsic electrical properties of serotonergic neurons of the dorsal raphe that can impact depression- and anxiety-related behavior later in life even after several subsequent photoperiod shifting (Green et al., <xref ref-type="bibr" rid="B49">2015</xref>). Conversely, early-life adversity can change the hormonal milieu to increase the circulating levels of both glucocorticoids and pro-inflammatory cytokines that in turn deregulate circadian rhythms, leading to lasting epigenetic, physiological, and behavioral changes (Masri and Sassone-Corsi, <xref ref-type="bibr" rid="B90">2010</xref>; Marco et al., <xref ref-type="bibr" rid="B88">2016</xref>). Recent rodent and human studies have also revealed that PV expression and PNN accumulation have diurnal fluctuations in the adult (Pantazopoulos et al., <xref ref-type="bibr" rid="B106">2020</xref>; Harkness et al., <xref ref-type="bibr" rid="B54">2021</xref>), suggesting that circadian rhythms play a role in FS-PV function throughout life.</p>
</sec>
<sec id="s3-3">
<title>Hormones</title>
<p>CPs can occur in parallel to developmental changes in hormone levels, along the adrenal, thyroid, and gonadal axes, which have the potential to calibrate neural circuits. Adverse experiences during early life can elicit stress responses from the hypothalamic-pituitary-adrenal (HPA) axis, which results in the release of corticosteroids from the adrenal glands. Exposure during CPs may result in maladaptation of the HPA-axis that will affect basal and stress-induced activity in adulthood (Van Bodegom et al., <xref ref-type="bibr" rid="B140">2017</xref>). The effects of early-life stress are also manifested by changes in FS-PV cell development and maturation (Chen et al., <xref ref-type="bibr" rid="B23">2018</xref>; Page et al., <xref ref-type="bibr" rid="B105">2019</xref>; Nawreen et al., <xref ref-type="bibr" rid="B102">2020</xref>; Vasistha et al., <xref ref-type="bibr" rid="B142">2020</xref>), typically within the mPFC (Bueno-Fernandez et al., <xref ref-type="bibr" rid="B14">2021</xref>), which has a negative feedback function on the HPA-axis (Van Bodegom et al., <xref ref-type="bibr" rid="B140">2017</xref>). Implicated in behavioral and psychiatric disorders, the maturation of mPFC connectivity occurs in multiple CP windows from childhood through to adolescence enabling complex brain functions such as memory, cognition, decision making, social behaviors, and mood (for review, see Klune et al., <xref ref-type="bibr" rid="B69">2021</xref>). Consequently, mPFC development is also impacted by gonadal hormones during adolescence, with ovarian hormones having been shown to drive both mouse pubescence and mPFC inhibitory activity independently of age (Piekarski et al., <xref ref-type="bibr" rid="B109">2017</xref>). Progesterone is also required in early neonatal life for proper innervation of the mPFC that affects adult mouse behavioral impulses and cognitive flexibility (Willing and Wagner, <xref ref-type="bibr" rid="B147">2016</xref>). In song birds, both estrogen and testosterone have been shown to impact inhibitory neuron development affecting either language acquisition and processing or song crystallization (Vahaba and Remage-Healey, <xref ref-type="bibr" rid="B139">2018</xref>; Cornez et al., <xref ref-type="bibr" rid="B24">2020</xref>). Along the hypothalamic-pituitary-thyroid (HPT) axis, it has been hypothesized that thyroid hormone levels could affect cholinergic activity that shapes FS-PV cell maturation (Batista and Hensch, <xref ref-type="bibr" rid="B6">2019</xref>). Indeed, reduction of thyroid levels has been shown to reduce cortical PV expression in an age-dependent manner, suggesting there is a CP of thyroid hormone action (Uchida et al., <xref ref-type="bibr" rid="B138">2021</xref>). Together or separately, these hormonal signals clearly have the potential to influence FS-PV cell maturation during multiple CP windows thereby affecting the etiology of behavioral and psychiatric disorders such as autism spectrum disorder, depression, and schizophrenia.</p>
</sec>
<sec id="s3-4">
<title>Guidance Molecules and Morphogens</title>
<p>Implicated in axon guidance during development, semaphorins are chemorepulsive proteins that can be secreted and signal by binding to plexin receptors. In the postnatal rodent cortex, SEMA3A accumulates around FS-PV cells, owing to interaction with CSPGs, and colocalizes with various PNN components such as CSPGs and TNR (Dick et al., <xref ref-type="bibr" rid="B33">2013</xref>; Vo et al., <xref ref-type="bibr" rid="B145">2013</xref>; Nadanaka et al., <xref ref-type="bibr" rid="B99">2020</xref>). It forms a complex with Plexin-A1 or Plexin-A4 receptors that is stabilized by Neuropilin-1 (NRP1; Lu et al., <xref ref-type="bibr" rid="B84">2021</xref>). While <italic>Sema3A</italic> mRNA is found in neurons, there is no correlation between neuronal expression and PNN accumulation; instead, the choroid plexus has been proposed as a potential source <italic>via</italic> SEMA3A secretion into the CSF (de Winter et al., <xref ref-type="bibr" rid="B28">2016</xref>). Regardless, SEMA3A accumulates in rodent visual cortex PNNs in an experience-dependent manner, and this accumulation participates in CP closure (Boggio et al., <xref ref-type="bibr" rid="B10">2019</xref>). In the adult rat, blocking SEMA3A-NRP1 interaction can promote ocular dominance plasticity, showing that it is a required PNN-dependent component for maintaining low-plasticity (Boggio et al., <xref ref-type="bibr" rid="B10">2019</xref>).</p>
<p>The OTX2 homeoprotein is expressed in the choroid plexus, secreted into the CSF, and accumulates within FS-PV cells owing to interactions with CSPGs in PNNs (Beurdeley et al., <xref ref-type="bibr" rid="B9">2012</xref>; Spatazza et al., <xref ref-type="bibr" rid="B129">2013</xref>). This signaling induces CP onset and mediates CP closure in primary visual and auditory cortices and in the mPFC (for review, see Di Nardo et al., <xref ref-type="bibr" rid="B32">2020</xref>). Blocking OTX2-PNN interaction or sequestering OTX2 in the CSF in adult mice can promote ocular dominance plasticity (Beurdeley et al., <xref ref-type="bibr" rid="B9">2012</xref>; Bernard et al., <xref ref-type="bibr" rid="B8">2016</xref>), while overexpression of OTX2 in the choroid plexus can rescue plasticity-dependent anxiety-like behavior deficits regulated in the mPFC (Vincent et al., <xref ref-type="bibr" rid="B144">2021</xref>). Upon accumulation within FS-PV cell PNNs, OTX2 can gain direct access to the cytoplasm and nucleus where it has been shown to regulate the translation of CSPGs and the transcription of proteins regulating oxidative stress response and DNA methylation (Hou et al., <xref ref-type="bibr" rid="B59">2017</xref>; Sakai et al., <xref ref-type="bibr" rid="B120">2017</xref>; Apulei et al., <xref ref-type="bibr" rid="B4">2019</xref>). Thus, OTX2 participates in PNN growth, in cell metabolism, and in the regulation of FS-PV epigenetic states that directly impact FS-PV cell function. The accumulation of OTX2 in mPFC FS-PV cells has also been found to occur with diurnal fluctuations (Harkness et al., <xref ref-type="bibr" rid="B54">2021</xref>), suggesting OTX2 may serve a role in coordinating diurnal changes in gene expression needed for optimal PV cell function during sleep and wakefulness.</p>
</sec>
</sec>
<sec id="s4">
<title>Insight on Epigenetic Mechanisms within FS-PV Cells</title>
<p>One of the final downstream outcomes of some non-cell-autonomous factors for FS-PV cell maturation may be to change chromatin states. DNA methylation and hydroxy-methylation are fast and precise systems of expression regulation, mainly repression (Greenberg and Bourc&#x02019;his, <xref ref-type="bibr" rid="B50">2019</xref>). In the brain, methylation occurs in both CpG islands and non-CpG contexts and may have diverse roles in CP regulation. DNA methyltransferase (DNMT) activity is required for experience-dependent methylation of key plasticity genes, and mediates ocular dominance shift after monocular deprivation during CP (Tognini et al., <xref ref-type="bibr" rid="B137">2015</xref>). DNA methylation also acts as a marker for DNA binding proteins such as Methyl-CpG-binding protein 2 (MeCP2), a key methyl-DNA binding protein with a causal role in Rett syndrome. MeCP2 is also necessary for correct CP timing, as heterozygous mice show premature CP timing (Krishnan et al., <xref ref-type="bibr" rid="B72">2015</xref>; Patrizi et al., <xref ref-type="bibr" rid="B108">2020</xref>). This phenotype suggests accelerated FS-PV cell maturation, hypothesized to underly psychiatric disorders (Morishita et al., <xref ref-type="bibr" rid="B97">2015</xref>). Furthermore, MeCP2 knock-out mice have increased basal and learning-induced PV expression, which is associated with CP dysfunction and anxiety (Morello et al., <xref ref-type="bibr" rid="B96">2018</xref>). Histological analysis of MeCP2 distribution in FS-PV cells shows broad changes between plastic and non-plastic states, suggestive of global changes in chromatin structure. This distribution is influenced by the expression of GADD45b/g, which regulate the methylation of immediate-early genes implicated in plasticity (Apulei et al., <xref ref-type="bibr" rid="B4">2019</xref>).</p>
<p>Histone post-translational modifications (hPTMs) impact chromatin structure and accessibility, which ultimately influence transcription regulation. The histone code is finely regulated and particularly difficult to study as it can include more than 100 different hPTMs that are often gene- and cell-specific (Mill&#x000E1;n-Zambrano et al., <xref ref-type="bibr" rid="B94">2022</xref>). However, some experience-dependent marks have been linked to CP regulation, such as phosphorylated H3 and H3/H4 acetylation (Putignano et al., <xref ref-type="bibr" rid="B112">2007</xref>). Functionally, broad pharmacological modulations of the enzymes responsible for acetylated hPTM maintenance such as histone deacetylases (HDAC) can restore plasticity in the adult in the primary visual cortex (Silingardi et al., <xref ref-type="bibr" rid="B124">2010</xref>; Lennartsson et al., <xref ref-type="bibr" rid="B75">2015</xref>). In the other direction, conditional HDAC2 knock-out specifically in FS-PV cells delays CP closure (Nott et al., <xref ref-type="bibr" rid="B104">2015</xref>). Taken together, these results indicate that dynamic regulation of acetylation may be necessary to maintain a low-plastic state, but also that some degree of redundancy is possible.</p>
<p>Other potential epigenetic factors include microRNAs and long non-coding RNAs (lncRNA). In the primary visual cortex, Mir-29a expression increases with age independent of visual experience, yet is hypothesized to coordinate the expression of different epigenetic and ECM-related genes in FS-PV cells to facilitate juvenile CP or adult plasticity (Napoli et al., <xref ref-type="bibr" rid="B101">2020</xref>). While lncRNAs are gaining attention in epigenetic research, only one study to date has investigated their involvement in CP visual cortex plasticity, highlighting specificity for cortical layer and plasticity state (Benoit et al., <xref ref-type="bibr" rid="B7">2015</xref>). While their function in genomic regulation remains unknown, one hypothesis is that they regulate alternative splicing of transcripts in the maturing cortex. Further single-cell studies will be necessary to uncover the specificity and functions of these transcripts.</p>
</sec>
<sec id="s5">
<title>Outlook</title>
<p>Non-cell-autonomous factors play a particular role in the regulation of brain CPs owing to the involvement of FS-PV cells, whose maturation includes epigenetic changes and complex changes in their local ECM, which in turn modify their response to these signaling factors. As a result, factors considered permissive in the juvenile brain, such as BDNF and OTX2, may be ignored or even be repressive in the adult brain. Indeed, perturbations of many of these non-cell-autonomous signals are sufficient to delay or accelerate CP, and some of them are crucial for CP onset or closure. Thus, the regulation of FS-PV cell activity is uniquely positioned by integrating information coming from systemic and circadian signals, from local and choroid-plexus-derived molecular signals, and from local and long-range synaptic inputs. Although not highlighted in this review, other factors, such as changes in inflammatory response due to early-life stress or changes in gut bacteria, have recently been shown to affect CPs (Smith et al., <xref ref-type="bibr" rid="B127">2016</xref>; Ikezu et al., <xref ref-type="bibr" rid="B63">2021</xref>; Lupori et al., <xref ref-type="bibr" rid="B86">2022</xref>). Many questions remain, such as whether FS-PV cells act in concert with local glial cells by regulating the secretion of glial-derived factors. It is also unknown how the maturation-dependent changes in DNA methylation and chromatin conformation directly affect the function of FS-PV cells and their response to these factors.</p>
<p>An important point to consider is the implication of FS-PV cells not only in neurodevelopmental disorders, such as amblyopia but also in psychiatric diseases, due in part to their influence on global excitation/inhibition balance in cognitive development (Mar&#x000ED;n, <xref ref-type="bibr" rid="B89">2012</xref>; Ferguson and Gao, <xref ref-type="bibr" rid="B43">2018</xref>; Hensch and Quinlan, <xref ref-type="bibr" rid="B58">2018</xref>). The re-opening of heightened plasticity in the adult may be a promising therapeutic strategy for these diseases. However, animal models exploring these strategies currently rely on either broad or non-specific methods, such as chondroitinase ABC, fluoxetine, and valproate, or on cell-specific strategies requiring virus-based gene therapy through stereotaxic injections (Dehorter and Pino, <xref ref-type="bibr" rid="B29">2020</xref>; Nelson and Gabard-Durnam, <xref ref-type="bibr" rid="B103">2020</xref>). The panoply of non-cell-autonomous factors for FS-PV cell maturation states include potential modulators of plasticity that may overcome plasticity brakes in adulthood. Improved understanding of the mechanisms involving these factors may lead to new molecules for the precise and gentle re-opening of CPs in therapeutic contexts.</p>
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<sec id="s6">
<title>Author Contributions</title>
<p>All authors contributed equally to the writing of this review. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s8">
<title>Publisher&#x02019;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>
</body>
<back>
<sec id="s9">
<title>Funding</title>
<p>Funding was provided by the Agence Nationale de la Recherche (ANR-18-CE16-0013-01) and the NeuroGlia Foundation for supporting research costs and salaries.</p>
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