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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Acta Biochim. Pol.</journal-id>
<journal-title-group>
<journal-title>Acta Biochimica Polonica</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Acta Biochim. Pol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1734-154X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">15939</article-id>
<article-id pub-id-type="doi">10.3389/abp.2026.15939</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Mini Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Species barriers in AAV tropism: mechanisms, models, and emerging solutions for clinical translation</article-title>
<alt-title alt-title-type="left-running-head">Xu</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/abp.2026.15939">10.3389/abp.2026.15939</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Xinyuan</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3213198"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Postdoctoral Research Workstation, Beijing State-owned Capital Operation and Management Company Limited</institution>, <city>Beijing</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Xinyuan Xu, <email xlink:href="mailto:xuxinyuan@sjtu.edu.cn">xuxinyuan@sjtu.edu.cn</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-26">
<day>26</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>73</volume>
<elocation-id>15939</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>19</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>03</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Xu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Xu</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Adeno-associated virus (AAV) vectors have become central to <italic>in vivo</italic> gene therapy across genetic and acquired diseases. Yet despite extensive preclinical validation, AAV programs often encounter translational gaps when advancing from rodents to non-human primates (NHPs) and ultimately to humans. These species barriers arise from differences in capsid&#x2013;receptor interactions, intracellular trafficking, immune landscapes, and tissue microanatomy. Even within species, strain-level genetic variation can markedly alter vector performance, exemplified by the LY6A-dependent central nervous system (CNS) tropism of AAV-PhP.B in C57BL/6J mice. Old world monkeys, which are evolutionarily closer to humans than new world species, remain the most widely used models for systemic and CNS delivery, yet discrepancies in seroprevalence, complement activity, endothelial biology, and neuronal susceptibility still limit predictability. Recent advances, including machine learning&#x2013;guided capsid design, deep mutational scanning, and human-derived organoids and explant models, offer powerful tools to bridge these barriers. This mini-review synthesizes current understanding of AAV species barriers and outlines strategies that enhance the robustness and human relevance of AAV gene therapy development.</p>
</abstract>
<kwd-group>
<kwd>AAV</kwd>
<kwd>AI</kwd>
<kwd>gene therapy</kwd>
<kwd>species difference</kwd>
<kwd>tropism</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="9"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Recombinant adeno-associated virus (AAV) vectors have enabled efficient, durable <italic>in vivo</italic> gene transfer in numerous therapeutic areas, with clinical successes in inherited retinal diseases, spinal muscular atrophy, and hemophilia (<xref ref-type="bibr" rid="B56">Shen et al., 2022</xref>; <xref ref-type="bibr" rid="B63">Wang et al., 2019</xref>). AAV vector can be used in the context of gene replacement (<xref ref-type="bibr" rid="B38">Mendell et al., 2017</xref>), RNA interference (<xref ref-type="bibr" rid="B2">Amado et al., 2025</xref>), or gene editing (<xref ref-type="bibr" rid="B45">Ou et al., 2019</xref>). Despite favorable safety profiles and scalable manufacturing (<xref ref-type="bibr" rid="B34">Liu et al., 2024</xref>), AAV translation remains challenging because vector behavior differs substantially across species. Rodents are indispensable for discovery and proof-of-concept studies, yet their immune systems, receptor repertoires, and tissue architecture often diverge from those of non-human primates (NHPs) and humans (<xref ref-type="bibr" rid="B7">Byrne et al., 2025</xref>). Even among non-human primates, patterns of AAV susceptibility, tissue tropism, and biodistribution vary by clade: engineered AAV variants can show neuron-biased transduction in infant Old World monkeys yet vasculature-biased transduction in adult New World marmosets, highlighting clade-specific differences in how AAV vectors interact with host biology (<xref ref-type="bibr" rid="B12">Chuapoco et al., 2023</xref>).</p>
<p>Species barriers manifest at multiple levels: capsid binding to glycans or protein receptors, intracellular processing and innate sensing, vector dissemination across tissue barriers, and adaptive immune responses that differ in magnitude and specificity (<xref ref-type="bibr" rid="B9">Cao et al., 2024</xref>; <xref ref-type="bibr" rid="B64">Wang et al., 2024</xref>; <xref ref-type="bibr" rid="B30">Keeler et al., 2025</xref>). Importantly, such effects are not isolated phenomena but recur across tissues and vector classes. A prominent example is the strain-dependent enhancement of central nervous system transduction by AAV-PhP.B, which depends on LY6A expression in select C57BL/6J mouse strains and fails in other strains and in NHPs (<xref ref-type="bibr" rid="B14">Deverman et al., 2016</xref>; <xref ref-type="bibr" rid="B25">Hordeaux et al., 2018</xref>; <xref ref-type="bibr" rid="B27">Huang et al., 2019</xref>). In the liver, the capsid AAV-LK03 exhibits efficient transduction of human hepatocytes yet markedly reduced activity in murine livers, revealing fundamental interspecies differences in hepatocyte entry and intracellular processing (<xref ref-type="bibr" rid="B33">Lisowski et al., 2014</xref>). Similarly, muscle-directed capsids such as MyoAAV-1A and MyoAAV-2A demonstrate robust performance in mice but altered or diminished transduction profiles in NHPs, underscoring limitations in extrapolating muscle tropism across species (<xref ref-type="bibr" rid="B61">Tabebordbar et al., 2021</xref>). At a systemic level, whole-body biodistribution studies further show that AAV tropism and clearance patterns following intravenous delivery differ substantially between mice and NHPs, affecting both target engagement and off-target exposure (<xref ref-type="bibr" rid="B16">Fang et al., 2025</xref>).</p>
<p>This review summarizes molecular and physiological determinants of AAV species barriers, strain and species differences <italic>in vivo</italic>, and strategies&#x2014;including machine-learning-guided capsid design and advanced human-derived models&#x2014;that enhance translational predictability.</p>
</sec>
<sec id="s2">
<title>Mechanistic basis of species barriers across the AAV life cycle</title>
<sec id="s2-1">
<title>Capsid architectural determinants of AAV tropism</title>
<p>AAV tropism is fundamentally rooted in capsid architecture. Although AAV serotypes share a conserved &#x3b2;-barrel core, relatively small sequence differences&#x2014;particularly within surface-exposed variable loops surrounding the threefold and fivefold symmetry axes&#x2014;produce substantial changes in capsid topology, electrostatics, and flexibility (<xref ref-type="bibr" rid="B63">Wang et al., 2019</xref>). These architectural features establish the physical framework that governs how each serotype interacts with host factors. Canonical serotypes illustrate this principle. AAV2 and AAV9, despite overall structural similarity, differ markedly in surface charge distribution and loop conformation, creating distinct binding interfaces and baseline tropism profiles (<xref ref-type="bibr" rid="B66">Wu et al., 2006</xref>; <xref ref-type="bibr" rid="B63">Wang et al., 2019</xref>). Importantly, these architectural differences precede and constrain receptor usage rather than arising from it.</p>
</sec>
<sec id="s2-2">
<title>Receptor and glycan engagement as a consequence of capsid architecture</title>
<p>Receptor and glycan engagement are direct functional consequences of capsid structure. AAV2 binds heparan sulfate proteoglycans through a basic surface motif, whereas AAV9 engages terminal galactose residues via a structurally distinct capsid pocket (<xref ref-type="bibr" rid="B50">Romanovsky et al., 2025</xref>; <xref ref-type="bibr" rid="B24">Hoffman et al., 2024</xref>). These interactions arise from serotype-specific surface chemistry encoded by capsid architecture, rather than from receptor biology alone. Importantly, the functional outcome of these capsid&#x2013;glycan interactions varies across species, as glycan abundance, structure, and tissue distribution differ between rodents, non-human primates, and humans, thereby modulating AAV binding avidity and downstream tropism (<xref ref-type="bibr" rid="B24">Hoffman et al., 2024</xref>). This structure&#x2013;function relationship explains why modest capsid sequence changes can reprogram receptor usage and tropism. Both natural serotype divergence and engineered modifications of surface loops have been shown to alter attachment factors and downstream biodistribution, reinforcing the central role of capsid architecture in shaping vector behavior (<xref ref-type="bibr" rid="B8">Cabanes-Creus et al., 2021</xref>; <xref ref-type="bibr" rid="B63">Wang et al., 2019</xref>).</p>
</sec>
<sec id="s2-3">
<title>Species-specific receptor landscapes and post-attachment processing</title>
<p>While capsid architecture defines the potential for receptor engagement, the realized tropism of an AAV vector depends on species-specific biology. Expression patterns of glycans and protein receptors differ across rodents, non-human primates, and humans, leading to divergent transduction efficiencies even for identical capsids (<xref ref-type="bibr" rid="B33">Lisowski et al., 2014</xref>; <xref ref-type="bibr" rid="B65">Westhaus et al., 2023</xref>). Beyond attachment, species differences in endocytic trafficking, endosomal escape, nuclear entry, and innate immune sensing further modulate vector performance (<xref ref-type="bibr" rid="B63">Wang et al., 2019</xref>). Unmethylated CpG motifs within the AAV genome activate TLR9 signaling in plasmacytoid dendritic cells, and the magnitude of this response varies across species and human donors, influencing early innate activation and vector clearance (<xref ref-type="bibr" rid="B1">Alakhras et al., 2024</xref>; <xref ref-type="bibr" rid="B59">Suriano et al., 2024</xref>). In addition, depending on serotypes, different levels of pre-existing antibodies exist in human populations (<xref ref-type="bibr" rid="B5">Boutin et al., 2010</xref>), which significantly affects transduction and tissue tropism (<xref ref-type="bibr" rid="B37">Meliani et al., 2015</xref>; <xref ref-type="bibr" rid="B51">Schulz et al., 2023</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>Strain and species differences <italic>in vivo</italic>
</title>
<p>Rodent strains exhibit profound differences in susceptibility to individual AAV variants. The most striking case is PhP.B, which provides high-level central nervous system (CNS) transduction in C57BL/6J mice following intravenous injection but fails almost entirely in BALB/c mice, other mouse strains, NHPs, and humans (<xref ref-type="bibr" rid="B14">Deverman et al., 2016</xref>; <xref ref-type="bibr" rid="B25">Hordeaux et al., 2018</xref>; <xref ref-type="bibr" rid="B27">Huang et al., 2019</xref>; <xref ref-type="bibr" rid="B36">Matsuzaki et al., 2019</xref>). This phenotype depends on expression of LY6A on brain endothelium, a protein absent from many mouse strains and primates. PhP.B thus illustrates how strain-specific genetics can create misleading impressions of cross-species transduction potential. Beyond the CNS, hepatic and immune traits also vary among rodent strains. Differences in Kupffer cell abundance, complement activation, and sinusoidal fenestration could influence vector uptake and clearance.</p>
<p>NHPs provide a closer physiological and immunological approximation to humans than rodents and are therefore central to translational AAV development. Old World monkeys, particularly rhesus and cynomolgus macaques, are widely used for systemic and CNS studies because key aspects of their glycan landscapes, complement systems, and immune repertoires more closely parallel those of humans (<xref ref-type="bibr" rid="B22">High and Roncarolo, 2019</xref>). Nevertheless, even within macaques, inter-colony variability in pre-existing immunity remains substantial. Neutralizing antibody titers against AAV1, AAV2, AAV8, and AAV9 can range from undetectable to high depending on geographic origin, husbandry, and viral exposure history (<xref ref-type="bibr" rid="B5">Boutin et al., 2010</xref>), complicating cross-study comparisons and translational interpretation. New World monkeys, such as the common marmoset, are also widely used in AAV research and often reproduce major features of vector biodistribution observed in macaques, particularly for CNS- and vasculature-targeting capsids. However, marmosets possess distinct immunogenetic and developmental features that can influence immune-mediated readouts and vector interpretation. These include reduced diversity and structural differences in major histocompatibility complex (MHC) haplotypes, frequent hematopoietic chimerism, and differences in endothelial and neurodevelopmental biology relative to Old World primates and humans (<xref ref-type="bibr" rid="B3">Antunes et al., 1998</xref>; <xref ref-type="bibr" rid="B60">Sweeney et al., 2012</xref>; <xref ref-type="bibr" rid="B52">Seki et al., 2017</xref>). Consistent with this, engineered AAVs can show species- and age-dependent shifts in CNS cell-type bias between marmosets and macaques (<xref ref-type="bibr" rid="B12">Chuapoco et al., 2023</xref>). As a result, while marmosets are valuable for assessing feasibility, developmental neurobiology, and ophthalmic delivery, caution is warranted when extrapolating performance directly to humans.</p>
<p>Human clinical data underscore the inadequacy of rodent-only and even NHP-only predictions. Pre-existing neutralizing antibodies remain a major barrier to effective AAV transduction across indications (<xref ref-type="bibr" rid="B31">Li et al., 2022</xref>). High-dose intravenous AAV9-like vectors have caused severe hepatotoxicity and dorsal root ganglion injury in NHPs and piglets, phenomena not fully anticipated by rodent studies (<xref ref-type="bibr" rid="B23">Hinderer et al., 2018</xref>). MicroRNA-regulated expression systems can mitigate these toxicities in NHPs (<xref ref-type="bibr" rid="B26">Hordeaux et al., 2020</xref>), illustrating how species-appropriate refinements can directly improve safety.</p>
</sec>
<sec id="s4">
<title>Tissue- and structure-level barriers</title>
<p>Beyond molecular determinants, tissue microanatomy strongly influences vector performance. In the retina, the inner limiting membrane (ILM) is considerably thicker and structurally more complex in NHPs and humans than in mice. Dalkara and colleagues showed that many capsids able to cross the murine ILM and transduce photoreceptors after intravitreal delivery perform poorly in larger species, necessitating subretinal delivery or specialized engineered variants (<xref ref-type="bibr" rid="B13">Dalkara et al., 2013</xref>). Human stem cell&#x2013;derived retinal pigment epithelium and photoreceptors display distinct capsid preferences relative to murine tissues, emphasizing the need for human-relevant models (<xref ref-type="bibr" rid="B21">Gonzalez-Cordero et al., 2018</xref>). In the liver, sinusoidal endothelial cell fenestration and scavenger endothelial cell biology differ markedly across species (<xref ref-type="bibr" rid="B57">Shetty et al., 2018</xref>). These differences affect not only hepatocyte access but also opsonization and sequestration by non-parenchymal cells. The blood&#x2013;brain barrier (BBB) also differs structurally between rodents and primates. Rodent endothelial cells possess distinct transporter and glycocalyx profiles compared with macaques and humans, contributing to discrepancies in CNS penetration of systemically delivered AAV. PhP.B&#x2019;s failure to cross the primate BBB illustrates this point clearly (<xref ref-type="bibr" rid="B25">Hordeaux et al., 2018</xref>). Age and disease state further modulate BBB permeability, potentially affecting AAV CNS tropism (<xref ref-type="bibr" rid="B17">Foust et al., 2009</xref>). These structural differences highlight the need for model systems that recapitulate human tissue barriers, particularly when vectors are intended for intravitreal, intrathecal, or systemic delivery.</p>
</sec>
<sec id="s5">
<title>Emerging approaches to overcome species barriers</title>
<sec id="s5-1">
<title>Receptor-defined capsid engineering to overcome species-specific tropism</title>
<p>A major source of species divergence arises at the level of capsid&#x2013;receptor compatibility, where capsids selected in rodents often rely on receptors that are absent or functionally divergent in primates and humans. Recent capsid engineering efforts have therefore shifted toward receptor-defined strategies that emphasize evolutionary conservation, directly addressing this long-standing barrier (<xref ref-type="table" rid="T1">Table 1</xref>). A prominent example is VCAP-102, which exploits alkaline phosphatase (ALPL), a brain vascular receptor that is highly conserved across rodents, non-human primates, and humans (<xref ref-type="bibr" rid="B41">Moyer et al., 2025</xref>). Engagement of ALPL enables robust CNS gene transfer following systemic delivery in both mice and cynomolgus macaques, while limiting peripheral transduction relative to AAV9-like vectors. Importantly, the translational relevance of VCAP-102 derives from its reliance on a conserved endothelial receptor, thereby reducing the strain- and species-specific artifacts that have historically limited predictive power in AAV preclinical studies. A complementary paradigm is illustrated by AAV-hCA4-IV77, 9P31, and 9P36, which target carbonic anhydrase IV (CA4) on brain microvascular endothelium. CA4 expression is conserved between rodents and primates, and these capsids demonstrate efficient blood&#x2013;brain barrier transcytosis after intravenous administration in mouse, marmoset, and macaque models, with reduced liver tropism compared with AAV9 (<xref ref-type="bibr" rid="B53">Shay et al., 2023</xref>; <xref ref-type="bibr" rid="B32">Lin et al., 2025</xref>). Validation of CA4 binding in human endothelial cells and humanized receptor systems further supports the clinical relevance of this pathway. These vectors stand in sharp contrast to murine-restricted capsids such as AAV-PhP.B, whose dependence on LY6A explains their failure outside select mouse strains and in non-human primates (<xref ref-type="bibr" rid="B27">Huang et al., 2019</xref>; <xref ref-type="bibr" rid="B25">Hordeaux et al., 2018</xref>). Collectively, these examples highlight a broader shift in AAV engineering: robust clinical translation increasingly depends on targeting receptors with conserved vascular and cellular biology, rather than optimizing performance in a single preclinical species.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Receptors and tissue tropism of mainstream AAV serotypes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Capsid</th>
<th align="center">Primary receptors</th>
<th align="center">Main tissue tropism</th>
<th align="center">Main species/models where shown</th>
<th align="center">Refs</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">AAV1</td>
<td align="left">AAVR; &#x3b1;2,3/&#x3b1;2,6&#xa0;N-linked sialic acid on glycoproteins</td>
<td align="left">Skeletal and cardiac muscle (strong), also liver in some settings</td>
<td align="left">Mouse, rat</td>
<td align="left">
<xref ref-type="bibr" rid="B66">Wu et al. (2006)</xref>; <xref ref-type="bibr" rid="B67">Zincarelli et al. (2008)</xref>; <xref ref-type="bibr" rid="B46">Pillay et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">AAV2</td>
<td align="left">AAVR; heparan sulfate proteoglycan (HSPG)</td>
<td align="left">Retina (inner retina, M&#xfc;ller/glia) after intravitreal injection; photoreceptors/RPE after subretinal injection; liver and CNS in some models</td>
<td align="left">Mouse, rat, dog, NHP; human (ocular and liver gene therapy trials)</td>
<td align="left">
<xref ref-type="bibr" rid="B66">Wu et al. (2006)</xref>
</td>
</tr>
<tr>
<td align="left">AAV5</td>
<td align="left">AAVR; &#x3b1;2,3-linked sialic acid; PDGFR</td>
<td align="left">Airway epithelium, CNS, retina (especially via subretinal delivery), some liver tropism</td>
<td align="left">Mouse, ferret, NHP</td>
<td align="left">
<xref ref-type="bibr" rid="B66">Wu et al. (2006)</xref>; <xref ref-type="bibr" rid="B47">Pillay et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">AAV7</td>
<td align="left">AAVR; O-linked glycans/gangliosides</td>
<td align="left">Liver and retina (subretinal) with strong, long-term photoreceptor and RPE transduction</td>
<td align="left">Mouse, dog</td>
<td align="left">
<xref ref-type="bibr" rid="B66">Wu et al. (2006)</xref>; <xref ref-type="bibr" rid="B46">Pillay et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">AAV8</td>
<td align="left">AAVR; laminin receptor</td>
<td align="left">Liver (very strong hepatotropism), also heart, skeletal muscle; efficient retina transduction after subretinal injection</td>
<td align="left">Mouse, NHP; human</td>
<td align="left">
<xref ref-type="bibr" rid="B18">Gao et al. (2002)</xref>; <xref ref-type="bibr" rid="B67">Zincarelli et al. (2008)</xref>; <xref ref-type="bibr" rid="B43">Nathwani et al. (2011)</xref>
</td>
</tr>
<tr>
<td align="left">AAV9</td>
<td align="left">AAVR; terminal galactose; laminin receptor</td>
<td align="left">CNS (crosses BBB after IV in rodents), heart, skeletal muscle, liver; widely used for systemic CNS and muscle delivery</td>
<td align="left">Mouse, rat, dog, NHP; human (e.g., Zolgensma)</td>
<td align="left">
<xref ref-type="bibr" rid="B67">Zincarelli et al. (2008)</xref>; <xref ref-type="bibr" rid="B55">Shen et al. (2011)</xref>; <xref ref-type="bibr" rid="B38">Mendell et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">AAVrh10</td>
<td align="left">AAVR; terminal galactose</td>
<td align="left">CNS (brain, spinal cord, PNS) and liver after IV, strong spinal cord transduction in neonatal mice; used for Krabbe disease and other CNS disorders</td>
<td align="left">Mouse, NHP; early human Krabbe trials</td>
<td align="left">
<xref ref-type="bibr" rid="B62">Tanguy et al. (2015)</xref>; <xref ref-type="bibr" rid="B39">Mietzsch et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">AAV11, AAV12</td>
<td align="left">AAVR2/CPD (carboxypeptidase D)</td>
<td align="left">Broad tropism in cultured cells and mouse tissues when CPD is expressed; clade E-like vectors with robust liver and CNS transduction in preclinical models</td>
<td align="left">Human cells, mouse; structural work also suggests compatibility with human tissues</td>
<td align="left">
<xref ref-type="bibr" rid="B15">Dhungel et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="left">AAV-hCA4-IV77, 9P31, 9P36</td>
<td align="left">Carbonic anhydrase IV (CA4) on brain microvascular endothelium; CA4 expression is conserved between mice and primates</td>
<td align="left">Efficient BBB crossing and CNS transduction after IV; reduced liver transduction compared with AAV9 in primate-relevant models</td>
<td align="left">Mouse, marmoset, macaque; human CA4-binding variants validated in human endothelial cells and humanized receptor models</td>
<td align="left">
<xref ref-type="bibr" rid="B53">Shay et al. (2023)</xref>; <xref ref-type="bibr" rid="B32">Lin et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="left">VCAP-102</td>
<td align="left">ALPL; ALPL expression is highly conserved in brain vasculature across rodents and primates</td>
<td align="left">Robust CNS gene transfer after IV with limited peripheral transduction; strong vascular and parenchymal CNS expression</td>
<td align="left">Mouse and NHP (cynomolgus macaque); human endothelial cells <italic>in vitro</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Moyer et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="left">PhP.B, PhP.eB</td>
<td align="left">LY6A (Sca-1) on mouse endothelial cells; LY6A expression pattern is strain- and species-restricted (prominent in C57BL/6J, absent in many other strains and in primates)</td>
<td align="left">Dramatic pan-CNS transduction after IV in LY6A-positive mouse strains; no enhanced CNS tropism in most other mouse strains or in NHPs</td>
<td align="left">Mouse (C57BL/6J and related); negative results in BALB/c and NHP highlight species/strain barrier</td>
<td align="left">
<xref ref-type="bibr" rid="B27">Huang et al. (2019)</xref>; <xref ref-type="bibr" rid="B25">Hordeaux et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">AAV9-X1.1, CAP-Mac, PhP.eC</td>
<td align="left">LRP6; LRP6 is a conserved receptor, but the engineered capsid&#x2013;LRP6 interaction has been validated mainly in human cells and mice</td>
<td align="left">Enhanced CNS transduction after IV with reduced peripheral expression in engineered variants; human-cell&#x2013;derived interactome suggests relevance for primate BBB</td>
<td align="left">Human brain endothelial cells (<italic>in vitro</italic>), mouse; interactome data from human cell lines</td>
<td align="left">
<xref ref-type="bibr" rid="B54">Shay et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">BI-hTFR1 family</td>
<td align="left">Human transferrin receptor 1 (TfR1/TFRC); receptor is conserved, but these capsids bind specifically to human TfR1, with enhanced CNS delivery only in knock-in mice expressing human TFRC</td>
<td align="left">Brain-wide CNS delivery after IV in human TFRC knock-in mice; no enhanced tropism in wildtype mice or NHPs</td>
<td align="left">Human TFRC knock-in mice; human endothelial cells <italic>in vitro</italic>; no CNS gain-of-function in standard mouse or NHP</td>
<td align="left">
<xref ref-type="bibr" rid="B28">Huang et al. (2024)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AAVR, adeno-associated virus receptor.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s5-2">
<title>ML-guided and directed evolution approaches as tools to resolve species mismatch</title>
<p>Machine learning&#x2013;guided capsid design and next-generation directed evolution platforms are increasingly used to identify capsid features that generalize across species, rather than those that overfit rodent-specific biology (<xref ref-type="bibr" rid="B19">Ghauri and Ou, 2023</xref>). When trained on datasets derived from primate or human-relevant systems, these approaches can uncover structural motifs associated with conserved receptor engagement, intracellular trafficking, or immune evasion. Crucially, the value of ML-guided approaches lies not in their computational novelty, but in their ability to systematically interrogate capsid&#x2013;host interactions across species, accelerating discovery of capsids that maintain function in primate and human contexts (<xref ref-type="bibr" rid="B44">Ogden et al., 2019</xref>; <xref ref-type="bibr" rid="B6">Bryant et al., 2021</xref>). When coupled to appropriate selection environments, these tools directly address barriers arising from species-specific receptor usage and post-entry processing.</p>
</sec>
<sec id="s5-3">
<title>Iterative cross-species evaluation and using humanized and xenotransplant models</title>
<p>In practice, a key strategy for overcoming species barriers is the iterative testing of the same AAV vector across multiple species, rather than sequential optimization in a single model. Parallel evaluation in rodents, non-human primates, and human-relevant systems enables early identification of failures in receptor usage, intracellular trafficking, immune recognition, or clearance that would otherwise be masked by species-specific biology. This pragmatic approach reduces overfitting to rodent models and has become a central component of translational AAV development pipelines, particularly for vectors intended for systemic delivery or clinical dose escalation (<xref ref-type="bibr" rid="B20">Gonzalez et al., 2022</xref>; <xref ref-type="bibr" rid="B65">Westhaus et al., 2023</xref>).</p>
<p>Even when capsid&#x2013;receptor interactions are conserved, species barriers frequently emerge from differences in intracellular trafficking, innate immune sensing, and clearance pathways. Humanized mouse models and hepatocyte or endothelial xenotransplant systems address this challenge by providing human cellular substrates within an <italic>in vivo</italic> context, thereby revealing failures that are masked in conventional rodent models (<xref ref-type="bibr" rid="B33">Lisowski et al., 2014</xref>). These systems function as mechanistic filters rather than predictive surrogates: capsids that perform well in rodents but poorly in humanized models can be deprioritized early, while vectors that retain activity are more likely to overcome downstream species barriers (<xref ref-type="bibr" rid="B19">Ghauri and Ou, 2023</xref>). In this way, humanized models directly address limitations in translational predictability rather than merely improving model sophistication.</p>
<p>In addition, neutralizing antibodies (NAbs) represent an additional species- and individual-dependent barrier that complicates cross-species comparisons. Beyond prescreening for pre-existing antibodies, immunodeficient animal models are commonly used to isolate intrinsic capsid tropism and biodistribution from antibody-mediated effects, enabling mechanistic evaluation of vector performance in the absence of adaptive immunity (<xref ref-type="bibr" rid="B40">Mingozzi and High, 2013</xref>). In larger-animal and translational studies, transient immunosuppression, including corticosteroid-based or targeted regimens, has been employed to attenuate humoral and cellular immune responses, improving vector persistence and transgene expression while allowing assessment of non-immune species barriers (<xref ref-type="bibr" rid="B31">Li et al., 2022</xref>; <xref ref-type="bibr" rid="B30">Keeler et al., 2025</xref>). Together, these approaches provide complementary tools for disentangling immune-mediated effects from capsid- and tissue-intrinsic determinants of AAV transduction.</p>
</sec>
<sec id="s5-4">
<title>Organoid and multicellular systems to address tissue-level species barriers</title>
<p>Species barriers also arise from differences in tissue architecture, multicellular organization, and dose-dependent responses that cannot be captured by monocultures or simplified <italic>in vivo</italic> systems. Human organoid platforms&#x2014;particularly liver and brain vascular organoids (<xref ref-type="bibr" rid="B4">Berreur et al., 2025</xref>)&#x2014;provide a means to interrogate AAV performance within human-specific microenvironments, including endothelial&#x2013;parenchymal interactions and clearance mechanisms (<xref ref-type="bibr" rid="B21">Gonzalez-Cordero et al., 2018</xref>; <xref ref-type="bibr" rid="B11">Cho et al., 2021</xref>). By preserving aspects of human tissue organization and enabling controlled dose&#x2013;response studies, organoids address species barriers linked to vector dissemination, sequestration, and toxicity, complementing both <italic>in vivo</italic> primate studies and receptor-centric capsid engineering efforts.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s6">
<title>Discussion</title>
<p>Despite significant advances in capsid engineering and human-relevant model systems, species barriers remain a major limitation in AAV gene therapy. Several key challenges remain unresolved. First, receptor conservation alone does not ensure translational success. While receptor-defined capsids improve cross-species performance, downstream processes such as intracellular trafficking, uncoating, and nuclear entry remain poorly understood and may differ substantially between species. Clarifying these post-entry mechanisms in human-relevant systems remains a critical need. Second, immune-mediated species differences are difficult to predict and model. Variability in innate sensing, complement activation, and pre-existing humoral immunity can strongly influence vector clearance and toxicity (<xref ref-type="bibr" rid="B31">Li et al., 2022</xref>), yet these responses differ across species and even among non-human primates. Improved immune-competent humanized systems and standardized immunoprofiling will be essential for improving predictability. Third, dose-dependent and tissue-level effects remain underexplored. Many species barriers emerge only at clinically relevant doses, where nonlinear effects such as scavenger saturation or endothelial injury become apparent. Preclinical studies that explicitly address dose scaling are needed to bridge this gap. Finally, no single experimental model captures all relevant species barriers. Rodent, non-human primate, humanized, and organoid systems each provide partial insights, underscoring the need for integrated, multi-model evaluation strategies. Together, these limitations highlight that overcoming species barriers is a systems-level challenge that will require coordinated advances in capsid design, immune characterization, and human-relevant modeling, rather than further optimization within isolated preclinical contexts.</p>
<p>In summary, AAV species barriers arise from a combination of molecular, cellular, anatomical, and immunological factors that differ significantly across rodents, NHPs, and humans (<xref ref-type="fig" rid="F1">Figure 1</xref>). These differences can lead to both false positives and false negatives in preclinical studies and therefore must be carefully considered during vector selection and study design. Integrating multi-species data, machine-learning-guided capsid engineering, and human organoid and explant systems offers an opportunity to improve translational reliability (<xref ref-type="fig" rid="F1">Figure 1</xref>). As the field advances, embracing species and strain diversity as informative rather than inconvenient will be essential to design vectors that are safer, more predictable, and more effective for human patients.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Biological determinants of AAV species differences and strategies to overcome translational barriers. Species differences in AAV transduction arise from multiple stages of the viral life cycle, including immune responses, physical tissue barriers, cell-surface receptor usage, and intracellular trafficking pathways. The top row summarizes these determinants, with arrows indicating how divergence at any stage can contribute to species-dependent differences in AAV tropism, biodistribution, and efficacy. The bottom row illustrates emerging approaches to address these barriers. Humanized and organoid-based models capture human-specific biology, cross-species screening identifies vectors that retain function across multiple animal models and humans, and machine learning&#x2013;guided design integrates multi-species data to inform capsid engineering. Solid arrows denote causal influences across the AAV life cycle, while dashed arrows indicate iterative feedback between biological insights and vector design.</p>
</caption>
<graphic xlink:href="abp-73-15939-g001.tif">
<alt-text content-type="machine-generated">Infographic showing factors influencing AAV species difference including immunity, physical barriers, receptors, and intracellular trafficking. Methods to address these differences are illustrated: new models such as humanized mice and organoids, cross-species screening with various animals including mice, rabbits, pigs, and primates, and machine learning represented by a neural network labeled AI.</alt-text>
</graphic>
</fig>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>XX: Conceptualization, Methodology, Data curation, Formal Analysis, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>Author XX was employed by Beijing State-Owned Capital Operation and Management Company Limited.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was used in the creation of this manuscript. The author verifies and takes full responsibility for the use of generative AI in the preparation of this manuscript. Generative AI (ChatGPT 5) was used for language editing. The author used BioRender icons when creating <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
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<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2972106/overview">Kazuhiro Oka</ext-link>, Baylor College of Medicine, United States</p>
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<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2979354/overview">Kailun Fang</ext-link>, Chinese Adademcy of Science, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3310963/overview">Xiaoying Sun</ext-link>, Baylor College of Medicine, United States</p>
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