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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cellular Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Neurosci.</abbrev-journal-title>
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<issn pub-type="epub">1662-5102</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fncel.2025.1658074</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Mini Review</subject>
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<title-group>
<article-title>Human brain organoids: an innovative model for neurological disorder research and therapy</article-title>
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<name><surname>Li</surname> <given-names>Hancheng</given-names></name>
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<name><surname>Mo</surname> <given-names>Zhixian</given-names></name>
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<aff id="aff1"><label>1</label><institution>Department of Pharmaceutical Engineering, School of Food and Pharmaceutical Engineering, Zhaoqing University</institution>, <city>Zhaoqing</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Pharmacology of Chinese Medicine, School of Traditional Chinese Medicine, Southern Medical University</institution>, <city>Guangzhou</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Key Laboratory for Research and Utilization of Southern Medicine, Zhaoqing University</institution>, <city>Zhaoqing</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Risk Assessment Laboratory for Agricultural Product Quality and Safety, Ministry of Agriculture and Rural Development, Zhaoqing University</institution>, <city>Zhaoqing</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Hongwu Wang, <email xlink:href="mailto:hwwang@zqu.edu.cn">hwwang@zqu.edu.cn</email></corresp>
<corresp id="c002">Zhixian Mo, <email xlink:href="mailto:cherrymo001@126.com">cherrymo001@126.com</email></corresp>
<fn fn-type="equal" id="fn002"><label>&#x2020;</label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-08-26">
<day>26</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>19</volume>
<elocation-id>1658074</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Li, Zhu, Li, Wu, Luo, Huang, Wu, Liu, Wang and Mo.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li, Zhu, Li, Wu, Luo, Huang, Wu, Liu, Wang and Mo</copyright-holder>
<license>
<ali:license_ref start_date="2025-08-26">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>The emergence of human brain organoids (hBOs) has transformed how we study brain development, disease mechanisms, and therapy discovery. These 3D <italic>in vitro</italic> neural models closely mimic the cellular diversity, spatial structure, and functional connectivity of the human brain, providing a groundbreaking platform that outperforms traditional 2D cultures and animal models in studying neurodevelopment and neurological disorders. To further explore the potential of hBOs technology, we review current literature focusing particularly on its applications for diagnosing and treating major neurological diseases such as Alzheimer&#x2019;s disease, Parkinson&#x2019;s disease, and other related neurological disorders. Using patient-derived induced pluripotent stem cells combined with cutting-edge gene-editing technologies, hBOs enable highly precise mechanistic studies and scalable drug screening. Moreover, we further discuss the advantages and current limitations of hBOs. Despite these challenges, hBOs remain a transformative platform for the development of targeted neurotherapeutics. Collectively, this review offers a solid foundation for advancing neuroscience research and fostering innovative treatment strategies for neurological disorders.</p>
</abstract>
<kwd-group>
<kwd>human brain organoids</kwd>
<kwd>neurological disorders</kwd>
<kwd>disease modeling</kwd>
<kwd>therapeutic innovation</kwd>
<kwd>induced pluripotent stem cells</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by National Natural Science Foundation of China (81873030), Science Project of Education Department of Guangdong Province (2024KSYS007, and 2020ZDZX2045), Innovative Research Team Funding Project of Zhaoqing University (TD202414), Zhaoqing Science and Technology Innovation Guidance Project (ZhaoKe[2025]4-No.272), Innovation and Entrepreneurship Training Program for College Students of Zhaoqing University (202410580022, X202510580154, and X202510580156), Zhaoqing University Research Startup Project for Recruited Talents (611/240024), and Zhaoqing University Research Fund for Young Faculty (504/2025013337).</funding-statement>
</funding-group>
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<equation-count count="0"/>
<ref-count count="103"/>
<page-count count="11"/>
<word-count count="8065"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cellular Neuropathology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The human brain is characterized by exceptional cellular diversity and intricate synaptic architecture, presenting considerable challenges for modeling neurological disorders (ND) such as Alzheimer&#x2019;s disease (AD) and autism spectrum disorders (ASD). Although traditional two-dimensional (2D) cell cultures and animal models have significantly advanced neuroscience research (<xref ref-type="bibr" rid="B90">Wang Z. et al., 2017</xref>), they fail to replicate the human brain&#x2019;s three-dimensional (3D) structure and species-specific features, limiting their translational relevance. Organoid technology, first developed in cancer research in 1946, gained new momentum with the advent of pluripotent stem cell (PSC) technologies in 1998. These breakthroughs enabled the generation of organoids resembling organ-specific structure and function across various systems, including the brain, liver, gut, and kidney (<xref ref-type="bibr" rid="B56">Mishra et al., 2024</xref>). In particular, human brain organoids (hBOs), derived from human pluripotent stem cells (hPSCs) such as embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs), have the capacity to self-organize into 3D structures that recapitulate key features of the human brain (<xref ref-type="bibr" rid="B49">Lee et al., 2017</xref>).</p>
<p>Since 1992, continuous improvements in hBOs have significantly expanded their applications in neuroscience (<xref ref-type="fig" rid="F1">Figure 1</xref>). These models have become essential tools for studying human-specific mechanisms of brain development and neuropathology (<xref ref-type="bibr" rid="B46">Kwak et al., 2024</xref>). Compared with 2D cultures and animal models, hBOs demonstrate superior fidelity in replicating human brain architecture, offering broad utility in disease modeling, drug screening, and personalized medicine. However, several limitations persist, including restricted vascularization, inter-organoid heterogeneity, and unresolved ethical concerns (<xref ref-type="bibr" rid="B39">Kanupriya et al., 2025</xref>). These factors often lead to hypoxic core regions, increased cellular stress, and limited capacity to model late-stage ND. Moreover, the absence of inter-organ interactions restricts their utility in capturing the systemic complexity of disease pathogenesis. Addressing these challenges is crucial for enhancing the biological fidelity and clinical relevance of hBO-based platforms.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Illustrates major milestones in hBOs research from 1992 to 2024. Yellow denotes progress in culture optimization and functional maturation, enabling the shift from simple neurospheres to functional organoids. Gray indicates innovations in methodology, including reprogramming, engineered platforms, and novel disease models. Pink marks advances in morphogenesis and cell lineage specification, from neural tube-like structures to region- or subtype-specific hBOs. The timeline emphasizes trilineage differentiation, emergence of complex models such as Sp5 and IBC, and enhanced neural circuit formation. This three-decade evolution highlights hBOs as powerful <italic>in vitro</italic> systems for neuroscience. Sp5, spinal trigeminal nucleus; IBC, inter-brain connection.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-19-1658074-g001.tif">
<alt-text content-type="machine-generated">Timeline of advances in brain organoid development from 1992 to 2024. Key milestones include blastocyst isolation for pluripotent ESCs in 1992, serum-free suspension culture in 2001, and neuronal-glial neurospheres in 1998. Recent advancements involve bilateral optic cup induction in 2021, vascularized hBOs engineering in 2023, and microfluidic-controlled organoid manipulation expected in 2024.</alt-text>
</graphic>
</fig>
</sec>
<sec id="S2">
<label>2</label>
<title>hBOs modeling the neural microenvironment</title>
<p>Beyond replicating brain structure, human brain organoids (hBOs) closely model the dynamic neural microenvironment. Unlike traditional 2D cultures and animal models, hBOs cultured in 3D systems can produce extracellular matrices (ECMs) that support autocrine and paracrine signaling, thereby enabling more physiologically relevant modeling of cellular proliferation, migration, and differentiation (<xref ref-type="bibr" rid="B55">Mimeault et al., 2007</xref>; <xref ref-type="bibr" rid="B4">Acharya et al., 2024</xref>). It is important to note that the development and maintenance of hBOs often rely on artificial ECMs such as Matrigel and Geltrex. These materials are commonly used to embed organoids or are included in culture media to provide essential structural support and promote proper tissue organization. Through guided differentiation of iPSCs, hBOs develop structural and functional features resembling early human neural tissue (<xref ref-type="bibr" rid="B69">Qian et al., 2019</xref>). Recent advances such as incorporation of vascular-like networks and extended culture stability have improved physiological accuracy (<xref ref-type="bibr" rid="B80">Sun et al., 2022</xref>). These enhancements support applications in neurodevelopmental research, disease mechanism elucidation, and therapeutic screening. To better capture complex disease phenotypes, recent bioengineering strategies aim to integrate neuroimmune components, enable <italic>in vivo</italic> transplantation, and construct multi-regional or multi-organ systems. These innovations improve systemic modeling capabilities and enhance translational relevance. With continued progress in bioengineering and multi-omics integration, hBOs are becoming indispensable tools for neuroscience research, disease modeling, and regenerative medicine (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Applications of hBOs in investigating disease mechanisms and conducting drug screening. hBOs are a novel <italic>in vitro</italic> modeling platform for neurological disorder research and drug development. Using these models, researchers establish disease-specific hBOs, conduct high-throughput drug screening, and employ molecular biology and imaging for phenotype analysis. hBOs effectively replicate disease pathology, demonstrate strong predictability and reproducibility in drug testing, and reveal new molecular insights into disease mechanisms. Embryonic stem cells, ESCs; Pluripotent stem cells, PSCs.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-19-1658074-g002.tif">
<alt-text content-type="machine-generated">Diagram showing the creation and application of human brain organoids. It illustrates the process starting from embryonic stem cells (ESCs) or pluripotent stem cells (PSCs), progressing to a 3D culture system. The human brain organoid is depicted with various applications branching out, including disease modeling, drug screening and testing, gene editing and mechanistic studies, studying cell-cell interactions, understanding developmental processes and abnormalities, and evaluating cell therapy and regenerative strategies.</alt-text>
</graphic>
</fig>
</sec>
<sec id="S3">
<label>3</label>
<title>Unguided versus guided hBOs in ND modeling</title>
<p>Human brain organoids have become indispensable tools for modeling ND, with a key methodological distinction being the use of unguided or guided differentiation strategies. Unguided hBOs rely on spontaneous self-organization of pluripotent stem cells (PSCs) without exogenous patterning signals, resulting in the generation of heterogeneous brain regions such as the forebrain, midbrain, and hindbrain within a single organoid (<xref ref-type="bibr" rid="B48">Lancaster et al., 2013</xref>). This approach recapitulates early brain development and is suitable for modeling disorders such as microcephaly, Zika virus infection, and cortical malformations (<xref ref-type="bibr" rid="B69">Qian et al., 2019</xref>). However, unguided organoids suffer from batch variability, inconsistent regional identity, and stochastic architecture, limiting their reproducibility and suitability for region-specific disease modeling and high-throughput drug screening (<xref ref-type="bibr" rid="B86">Velasco et al., 2019</xref>).</p>
<p>In contrast, guided hBOs are derived by applying defined patterning cues to direct differentiation toward specific brain regions, such as the cortex, midbrain, or hypothalamus (<xref ref-type="bibr" rid="B68">Qian et al., 2016</xref>; <xref ref-type="bibr" rid="B37">Jo et al., 2016</xref>). This strategy enhances regional fidelity, reproducibility, and experimental control. For example, midbrain hBOs enriched with dopaminergic neurons are used to model Parkinson&#x2019;s disease (PD) (<xref ref-type="bibr" rid="B77">Smits and Schwamborn, 2020</xref>), while cortical organoids facilitate the study of amyloid and Tau pathologies in AD (<xref ref-type="bibr" rid="B71">Raja et al., 2016</xref>). Nevertheless, guided organoids may oversimplify the native brain environment and often lack inter-regional connectivity, limiting their utility in modeling network-level dysfunctions. To address these limitations, hybrid models such as &#x201C;assembloids&#x201D; have been developed, fusing region-specific organoids to recreate inter-regional interactions (<xref ref-type="bibr" rid="B10">Bagley et al., 2017</xref>). Future advances in single-cell multi-omics, spatial transcriptomics, and bioengineering are expected to integrate the strengths of both approaches, improving the physiological relevance, reproducibility, and translational value of hBO-based models in ND research.</p>
</sec>
<sec id="S4">
<label>4</label>
<title>hBOs &#x00D7; multi-omics represent a novel strategy</title>
<p>Human brain organoids replicate key structural and functional features of the brain and, when combined with multi-omics technologies including transcriptomics, proteomics, and epigenomics, offer a powerful strategy to decode mechanisms of ND (<xref ref-type="bibr" rid="B82">Taglieri et al., 2025</xref>). Single-cell RNA sequencing (scRNA-seq) reveals cell-type heterogeneity and disease-relevant gene expression patterns, such as Wnt signaling disruptions in ASD (<xref ref-type="bibr" rid="B41">Kiaee et al., 2021</xref>) and neuroinflammatory markers in AD (<xref ref-type="bibr" rid="B1">Abdelbasset et al., 2024</xref>). Because transcript levels do not always reflect protein abundance or activity, proteomics provides essential complementary insights. Mass spectrometry-based profiling can identify post-translational modifications such as phosphorylation, as demonstrated by tau hyperphosphorylation in AD organoids, which is a hallmark of altered signaling pathways (<xref ref-type="bibr" rid="B18">Bracha et al., 2024</xref>; <xref ref-type="bibr" rid="B54">Marinho et al., 2023</xref>). Epigenomic approaches, including ATAC-seq and DNA methylation analysis, provide information on chromatin accessibility and transcriptional regulation. In AD hBOs, ATAC-seq has revealed reduced enhancer activity in genes associated with neuronal apoptosis, corroborating transcriptomic findings (<xref ref-type="bibr" rid="B54">Marinho et al., 2023</xref>). Integrating scRNA-seq with proteomic and phosphoproteomic data improves understanding of transcriptional and post-transcriptional regulation (<xref ref-type="bibr" rid="B66">Pieters et al., 2021</xref>), and enables tracking of critical pathways such as NF-&#x03BA;B and PI3K-Akt in disease models (<xref ref-type="bibr" rid="B85">Tanaka, 2024</xref>). These multi-omics strategies expand hBOs from static structural models into dynamic systems for mechanistic insight, biomarker discovery, and drug development.</p>
</sec>
<sec id="S5">
<label>5</label>
<title>Applications and innovations of hBOs in ND research and therapy</title>
<p>Human brain organoids offer enhanced physiological relevance by mimicking the 3D architecture and cellular microenvironment of the human brain. When derived from patient-specific iPSCs, hBOs can reproduce disease-specific phenotypes and provide insights into cell-cell interactions, circuit-level dynamics, and developmental processes underlying ND (<xref ref-type="bibr" rid="B32">Hartlaub et al., 2019</xref>). Compared to conventional 2D cultures, which lack spatial complexity and cellular diversity (<xref ref-type="bibr" rid="B47">Lancaster and Knoblich, 2014</xref>), hBOs enable more accurate modeling of complex neural processes and offer a robust platform for translational research. As a result, hBOs are increasingly employed in ND research due to their adaptability and biological fidelity (<xref ref-type="bibr" rid="B22">Castiglione et al., 2022</xref>; <xref ref-type="bibr" rid="B102">Zhou et al., 2023</xref>). Recent advances, including CRISPR/Cas9-based gene editing (<xref ref-type="bibr" rid="B28">Driehuis and Clevers, 2017</xref>) and astrocyte-enriched protocols (<xref ref-type="bibr" rid="B10">Bagley et al., 2017</xref>), have expanded the scope of mechanistic studies, particularly in modeling neuron-glia interactions and evaluating targeted therapies.</p>
<p>To contextualize the advantages of hBOs, we compared five commonly used neural modeling systems (<xref ref-type="table" rid="T1">Table 1</xref>), highlighting the superior structural fidelity and translational potential of hBOs. Their ability to reproduce the 3D cytoarchitecture of native brain tissue and capture human-specific features makes them invaluable for high-throughput screening and disease modeling. Nevertheless, batch-to-batch variability caused by differences in stem cell source, reagent quality, and manual handling remains a critical challenge (<xref ref-type="bibr" rid="B34">Humpel, 2015</xref>; <xref ref-type="bibr" rid="B70">Quadrato et al., 2017</xref>). Other models such as animal chimeras (<xref ref-type="bibr" rid="B17">Bourret et al., 2016</xref>), brain-on-a-chip platforms (<xref ref-type="bibr" rid="B6">Amirifar et al., 2022</xref>; <xref ref-type="bibr" rid="B45">Kogler et al., 2023</xref>), and 2D cultures (<xref ref-type="bibr" rid="B83">Takahashi and Yamanaka, 2006</xref>; <xref ref-type="bibr" rid="B99">Zhang et al., 2013</xref>) offer unique advantages in terms of scalability or in vivo relevance, but fail to replicate the full complexity of human neurobiology. Standardization in quality control, biomarker-based assessment, and scalable production pipelines is essential to overcome these limitations and improve reproducibility.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Summary of key advantages and limitations of three commonly used neural modeling platforms: 3D human brain organoids (hBOs), animal chimera, brain-on-a-chip systems, 2D cultures/primary neurons, and 2D iPSC-derived neurons.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="center">Models</td>
<td valign="top" align="left">Advantages</td>
<td valign="top" align="left">Limitations</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">3D hBOs<break/> (<xref ref-type="bibr" rid="B34">Humpel, 2015</xref>; <xref ref-type="bibr" rid="B70">Quadrato et al., 2017</xref>)</td>
<td valign="top" align="left">&#x2013; Mimic the complex structure and microenvironment of native brain tissue<break/>- Enable realistic cell&#x2013;cell interactions and molecular transport<break/> &#x2013; Accurately represent patient-specific disease phenotypes using iPSC-derived cells<break/> &#x2013; Contain multiple neural cell types including neurons and glia</td>
<td valign="top" align="left">&#x2013; Insufficient nutrient diffusion for long-term culture<break/> &#x2013; Absence of all relevant cell types and microvascular systems<break/> &#x2013; Technically complex and unstable; lack of standardized, scalable protocols<break/> &#x2013; Donor genetic variability may introduce phenotypic inconsistency</td>
</tr>
<tr>
<td valign="top" align="center">Animal chimeras<break/> (<xref ref-type="bibr" rid="B17">Bourret et al., 2016</xref>)</td>
<td valign="top" align="left">&#x2013; <italic>In vivo</italic> integration and long-term studies<break/> &#x2013; Includes vascular and immune context<break/> &#x2013; Suitable for behavioral assessment</td>
<td valign="top" align="left">&#x2013; Ethical and legal concerns<break/> &#x2013; Variable engraftment<break/> &#x2013; Requires immunosuppression</td>
</tr>
<tr>
<td valign="top" align="center">Brain-on-a-chip systems<break/> (<xref ref-type="bibr" rid="B6">Amirifar et al., 2022</xref>; <xref ref-type="bibr" rid="B45">Kogler et al., 2023</xref>)</td>
<td valign="top" align="left">&#x2013; Precisely controlled environment<break/> &#x2013; Real-time signal monitoring<break/> &#x2013; Reproducible and scalable</td>
<td valign="top" align="left">&#x2013; Limited tissue complexity<break/> &#x2013; Lacks 3D architecture<break/> &#x2013; High technical cost</td>
</tr>
<tr>
<td valign="top" align="center">2D cultures/primary neurons<break/> (<xref ref-type="bibr" rid="B83">Takahashi and Yamanaka, 2006</xref>)</td>
<td valign="top" align="left">&#x2013; Simple, well-controlled experimental systems<break/> &#x2013; Suitable for high-throughput screening and large-scale studies<break/> &#x2013; Can exhibit clear phenotypic responses to drugs</td>
<td valign="top" align="left">&#x2013; Lack of 3D architecture and physiological relevance<break/> &#x2013; Limited modulation of culture microenvironment<break/> &#x2013; Poor representation of human brain complexity</td>
</tr>
<tr>
<td valign="top" align="center">2D iPSC-derived neurons (<xref ref-type="bibr" rid="B99">Zhang et al., 2013</xref>; <xref ref-type="bibr" rid="B70">Quadrato et al., 2017</xref>)</td>
<td valign="top" align="left">&#x2013; Generate functional neurons from patient-specific iPSCs<break/> &#x2013; Detectable phenotypes that inform drug efficacy and disease mechanisms</td>
<td valign="top" align="left">&#x2013; Lack 3D spatial organization<break/> &#x2013; Absence of multicellular interactions impairs neuronal function and network modeling</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>This comparison highlights the physiological relevance, technical feasibility, and experimental utility of each model system.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Despite their promise, hBOs still face major limitations, including the lack of functional vasculature, mature microglia, and complete neural circuitry (<xref ref-type="bibr" rid="B12">Bao et al., 2021</xref>; <xref ref-type="bibr" rid="B21">Cao et al., 2023</xref>). Furthermore, conventional monoculture hBOs do not replicate systemic inter-organ communication, an increasingly recognized contributor to ND pathogenesis. To overcome these issues, several innovative strategies have been developed (<xref ref-type="table" rid="T2">Table 2</xref>). Incorporation of microglia enables the establishment of neuroimmune models simulating brain-specific immune responses (<xref ref-type="bibr" rid="B8">Ao et al., 2021</xref>; <xref ref-type="bibr" rid="B73">Sabate-Soler et al., 2022</xref>; Samudyata et al., 2022). Transplantation of hBOs into rodent brains supports <italic>in vivo</italic> maturation and therapeutic validation (<xref ref-type="bibr" rid="B27">Dong et al., 2021</xref>; <xref ref-type="bibr" rid="B72">Revah et al., 2022</xref>), while multi-region organoid fusion approaches (assembloids) allow for the study of interregional connectivity and systemic interactions (<xref ref-type="bibr" rid="B40">Kasai et al., 2020</xref>; <xref ref-type="bibr" rid="B103">Zhu et al., 2023</xref>). These advances have significantly improved the biological and translational relevance of hBO-based platforms. hBOs can now model a broad range of disorders, including AD, PD, amyotrophic lateral sclerosis (ALS), autism spectrum disorder (ASD) and achalasia-microcephaly syndrome (AMS), faithfully reproducing hallmark pathologies <italic>in vitro</italic> (<xref ref-type="fig" rid="F3">Figure 3</xref>). As evidence mounts that many ND originate from early developmental disruptions (<xref ref-type="bibr" rid="B13">Barnat et al., 2020</xref>; <xref ref-type="bibr" rid="B95">Yeh et al., 2018</xref>), and with a rising incidence of early-onset neurological symptoms in younger populations (<xref ref-type="bibr" rid="B36">Jia et al., 2023</xref>), the utility of hBOs in modeling disease mechanisms and personalizing pharmacological interventions becomes increasingly evident. With continued refinement, hBOs are poised to become cornerstone tools in precision neurology.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Summarizes current bioengineering strategies used to enhance the physiological relevance of hBOs in neurological disease (ND) research.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Optimization strategy</td>
<td valign="top" align="left">Construction method</td>
<td valign="top" align="left">Primary applications</td>
<td valign="top" align="left">Key advantages</td>
<td valign="top" align="left">Main limitations</td>
<td valign="top" align="left">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="4">Neuroimmune hBO models</td>
<td valign="top" align="left">Co-culture of hBOs with exogenous microglia</td>
<td valign="top" align="left">Investigating the role of microglia-specific gene mutations in ND</td>
<td valign="top" align="left">Microglia can reshape the immune microenvironment of hBOs</td>
<td valign="top" align="left">Limited microglial maturation and inconsistent integration</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B3">Abud et al., 2017</xref>; <xref ref-type="bibr" rid="B79">Song et al., 2019</xref>; <xref ref-type="bibr" rid="B14">Bejoy et al., 2019</xref>; <xref ref-type="bibr" rid="B8">Ao et al., 2021</xref>; <xref ref-type="bibr" rid="B67">Popova et al., 2021</xref>; <xref ref-type="bibr" rid="B59">Muffat et al., 2018</xref>; <xref ref-type="bibr" rid="B2">Abreu et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">Integration of microglial progenitors into hBOs, matured within the hBO microenvironment</td>
<td valign="top" align="left">Exploring microglial development and its influence on neurodevelopment under normal and ND conditions</td>
<td valign="top" align="left">Reflects native-like microglial behavior in a human neural context</td>
<td valign="top" align="left">Time-consuming protocols and variable engraftment efficiency</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B92">W&#x00F6;rsd&#x00F6;rfer et al., 2019</xref>; <xref ref-type="bibr" rid="B73">Sabate-Soler et al., 2022</xref>; <xref ref-type="bibr" rid="B29">Fagerlund et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">Co-culture of microglial progenitors with neural progenitor cells (NPCs)</td>
<td valign="top" align="left">Studying microglia&#x2013;NPC interactions in ND pathogenesis</td>
<td valign="top" align="left">Models early neuroimmune interactions relevant to disease onset</td>
<td valign="top" align="left">Simplified immune complexity and reduced spatial resolution</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B94">Xu et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">Spontaneous differentiation of PSCs into hBOs containing microglia</td>
<td valign="top" align="left">Providing an accessible model for investigating neuroimmune mechanisms in ND</td>
<td valign="top" align="left">No external manipulation of microglia; highly integrated immune responses</td>
<td valign="top" align="left">Low microglial yield and lack of activation diversity</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B61">Ormel et al., 2018</xref>; <xref ref-type="bibr" rid="B16">Bodnar et al., 2021</xref>; Samudyata et al., 2022</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">hBO&#x2013;rodent transplantation models</td>
<td valign="top" align="left">Transplantation of hBOs into healthy rodent brains</td>
<td valign="top" align="left">Studying gene function, neural development, and activity <italic>in vivo</italic> with a human genetic background</td>
<td valign="top" align="left">Enables <italic>in vivo</italic> analysis of hBO integration, activity, and disease modeling</td>
<td valign="top" align="left">Species mismatch, ethical concerns, and limited long-term viability</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B76">Shi et al., 2020</xref>; <xref ref-type="bibr" rid="B25">Daviaud et al., 2018</xref>; <xref ref-type="bibr" rid="B44">Kitahara et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Dong et al., 2021</xref>; <xref ref-type="bibr" rid="B72">Revah et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="left">Transplantation of hBOs into disease-model rodents</td>
<td valign="top" align="left">Evaluating the therapeutic efficacy of hBOs for ND treatment</td>
<td valign="top" align="left">Facilitates testing of transplantation-based therapies in ND</td>
<td valign="top" align="left">Invasive procedure and variability in host response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B89">Wang Z. et al., 2020</xref>; <xref ref-type="bibr" rid="B12">Bao et al., 2021</xref>; <xref ref-type="bibr" rid="B21">Cao et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Organoid assemblies</td>
<td valign="top" align="left">Fusion of brain region-specific organoids</td>
<td valign="top" align="left">Investigating neurodevelopment, neural circuitry, and ND-related interregional interactions</td>
<td valign="top" align="left">Enables study of multi-region and multi-organ dynamics</td>
<td valign="top" align="left">Fusion heterogeneity and poor reproducibility of connectivity</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B15">Birey et al., 2017</xref>; <xref ref-type="bibr" rid="B10">Bagley et al., 2017</xref>; <xref ref-type="bibr" rid="B40">Kasai et al., 2020</xref>; <xref ref-type="bibr" rid="B57">Miura et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">Integration of hBOs with non-brain organoids</td>
<td valign="top" align="left">Modeling inter-organ communication in the context of ND</td>
<td valign="top" align="left">Simulates systemic influences on brain pathophysiology</td>
<td valign="top" align="left">Limited organ compatibility and functional synchronization</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B103">Zhu et al., 2023</xref>; <xref ref-type="bibr" rid="B7">Andersen et al., 2020</xref>; <xref ref-type="bibr" rid="B78">Son et al., 2022</xref>; <xref ref-type="bibr" rid="B64">Pereira et al., 2021</xref>; <xref ref-type="bibr" rid="B91">Workman et al., 2017</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>It highlights key construction methods, primary applications, advantages, limitations and representative studies for each approach, including neuroimmune models, rodent transplantation, and organoid assembly techniques.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Applications of hBOs in modeling disease mechanisms across five common neurological disorders: Alzheimer&#x2019;s disease (AD), autism spectrum disorder (ASD), achalasia microcephaly syndrome (AMS), Parkinson&#x2019;s disease (PD), and amyotrophic lateral sclerosis (ALS). The research demonstrated specific applications in disease modeling, including simulating beta-amyloid plaque and tau tangles in AD, studying neurodevelopmental abnormalities and synaptic dysfunction in ASD, observing brain developmental disorders and microcephaly in AMS, recapitulating dopaminergic neuron degeneration in PD, and modeling motor neuron degeneration and neuroinflammation in ALS. The hBOs provide a valuable <italic>in vitro</italic> model system for investigating the pathogenesis of neurological diseases, capable of recapitulating key pathological features and aiding in disease mechanism research and drug development.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-19-1658074-g003.tif">
<alt-text content-type="machine-generated">Diagram illustrating the role of human brain organoids in studying neurological disorders such as Alzheimer&#x2019;s, autism spectrum disorders, and Parkinson&#x2019;s disease. It shows pathways influencing inflammation, neurotransmitter balance, metabolic regulation, nerve cell function, and immune modulation. Key elements include various proteins, growth factors, and gene mutations, impacting neurological functions and developmental processes. The diagram indicates connections between scientific terms and their effects on disorders, with arrows showing the direction of influence or improvement.</alt-text>
</graphic>
</fig>
<sec id="S5.SS1">
<label>5.1</label>
<title>Alzheimer&#x2019;s disease (AD)</title>
<p>Alzheimer&#x2019;s disease is a progressive neurodegenerative diseases (NDGD) primarily characterized by cognitive decline and behavioral disturbances. Its key pathological hallmarks include extracellular amyloid-beta (A&#x03B2;) plaque deposition and intracellular accumulation of hyperphosphorylated tau (P-Tau), ultimately leading to neurofibrillary tangles (<xref ref-type="bibr" rid="B9">Arvanitakis et al., 2019</xref>). <xref ref-type="bibr" rid="B23">Chen et al. (2021)</xref> demonstrated that hBOs exposed to serum from AD patients reproduced core AD pathologies, including elevated P-Tau expression, A&#x03B2; aggregation, disrupted neural networks, and synaptic degeneration. Similarly, <xref ref-type="bibr" rid="B62">Pavoni et al. (2018)</xref> showed that exogenous administration of A&#x03B2;42 to hBOs led to time-dependent A&#x03B2; accumulation and plaque formation. Mechanistic studies by <xref ref-type="bibr" rid="B50">Lee et al. (2022)</xref> revealed that Zika virus&#x2013;induced activation of the PERK/eIF2&#x03B1; signaling pathway in hBOs could trigger AD-like pathological features. Notably, pharmacological inhibition of PERK significantly alleviated these abnormalities, offering valuable therapeutic insights (<xref ref-type="bibr" rid="B50">Lee et al., 2022</xref>). <xref ref-type="bibr" rid="B100">Zhao et al. (2020)</xref> demonstrated that hBOs derived from AD patients carrying the <italic>APOE</italic>&#x03B5;4/&#x03B5;4 genotype exhibited increased apoptosis, reduced synaptic integrity, and exacerbated tau phosphorylation compared to those from <italic>APOE</italic>&#x03B5;3/&#x03B5;3 individuals. Notably, isogenic conversion of <italic>APOE4</italic> to <italic>APOE3</italic> significantly attenuated these pathological phenotypes, supporting <italic>APOE4</italic>&#x2019;s role in driving neurodegenerative processes in AD (<xref ref-type="bibr" rid="B100">Zhao et al., 2020</xref>). <xref ref-type="bibr" rid="B65">Perez-Corredor et al. (2024)</xref> applied CRISPR-Cas9 to convert the <italic>APOE3</italic>Ch allele to wild-type <italic>APOE3</italic> in hBOs, finding that <italic>APOE3</italic>Ch substantially reduced tau pathology in AD organoid models. Additionally, astrocytes and microglia derived from <italic>APOE4</italic>-genotyped hBOs demonstrated impaired A&#x03B2;42 uptake, while <italic>APOE4</italic>-to-<italic>APOE3</italic> conversion markedly improved these pathological features (<xref ref-type="bibr" rid="B43">Kim et al., 2015</xref>). <xref ref-type="bibr" rid="B63">Penney et al. (2020)</xref> highlighted that hBOs derived from iPSCs can successfully recapitulate key cellular dysfunctions observed in AD, including impaired neuron&#x2013;glia interactions and AD-associated molecular phenotypes, underscoring the utility of hBO-based platforms in modeling complex neurodegenerative processes. <xref ref-type="bibr" rid="B24">Choi et al. (2014)</xref> established a 3D hBO model harboring familial AD mutations that faithfully recapitulated both extracellular amyloid-&#x03B2; plaque deposition and intracellular tau aggregation. Treatment with &#x03B2;- and &#x03B3;-secretase inhibitors significantly reduced amyloid and tau pathologies, demonstrating the model&#x2019;s potential for therapeutic screening (<xref ref-type="bibr" rid="B24">Choi et al., 2014</xref>).</p>
</sec>
<sec id="S5.SS2">
<label>5.2</label>
<title>Parkinson&#x2019;s disease (PD)</title>
<p>Parkinson&#x2019;s disease, the second most prevalent NDGD, is clinically characterized by bradykinesia, resting tremors, and muscular rigidity. Its pathological hallmarks include progressive dopaminergic neuron loss in the substantia nigra and the formation of Lewy bodies. Mohamed et al. detected &#x03B1;-synuclein aggregates in hBOs derived from <italic>SNCA</italic>-mutant cells, leading to dopaminergic neuronal degeneration (<xref ref-type="bibr" rid="B58">Mohamed et al., 2021</xref>). <xref ref-type="bibr" rid="B38">Kano et al. (2020)</xref> reported a significant reduction in astrocyte populations in PD-hBOs harboring <italic>PRKN</italic> mutations, mirroring neuropathological changes observed in PD patients with these variants. Furthermore, <italic>LRRK2</italic> mutations introduced into healthy PSCs successfully recapitulated hallmark PD features, including dopaminergic neuron loss and Lewy body formation (<xref ref-type="bibr" rid="B96">Zagare et al., 2022</xref>). <xref ref-type="bibr" rid="B93">Wulansari et al. (2021)</xref> demonstrated that <italic>DNAJC6</italic> mutations impaired <italic>WNT&#x2013;LMX1A</italic> signaling, increased &#x03B1;-synuclein accumulation, and disrupted autophagy&#x2013;lysosomal function in hBOs. Significantly, treatment of <italic>PINK1</italic>-mutant hBOs with 2-hydroxypropyl-&#x03B2;-cyclodextrin (2-HP-&#x03B2;-CD) improved mitochondrial function and neuronal autophagy, reducing dopaminergic neuron degeneration and necrosis. These findings suggest that 2-HP-&#x03B2;-CD may serve as a promising disease-modifying therapy for PD (<xref ref-type="bibr" rid="B35">Jarazo et al., 2022</xref>). <xref ref-type="bibr" rid="B101">Zheng et al. (2023)</xref> transplanted hBOs derived from healthy human cells into the striatum of immunodeficient PD model mice. The organoids successfully engrafted, matured, and significantly improved motor function, underscoring their potential for cell-replacement therapy in PD (<xref ref-type="bibr" rid="B101">Zheng et al., 2023</xref>). Additionally, CRISPR-generated <italic>LRRK2</italic>-knockout hBOs reproduced PD-related pathology, further confirming <italic>LRRK2</italic>&#x2019;s pivotal role in PD pathogenesis (<xref ref-type="bibr" rid="B42">Kim et al., 2019</xref>).</p>
</sec>
<sec id="S5.SS3">
<label>5.3</label>
<title>Amyotrophic lateral sclerosis (ALS)</title>
<p>Amyotrophic lateral sclerosis is a progressive NDGD marked by the degeneration of both upper and lower motor neurons. Genetic studies have identified 42 ALS-associated genes, including <italic>C9ORF72</italic>, <italic>ATXN2</italic>, and TAR DNA-binding protein 43 (TDP-43). Pathogenic mechanisms include excitotoxicity, oxidative stress imbalance, and mitochondrial dysfunction (<xref ref-type="bibr" rid="B20">Brown and Al-Chalabi, 2017</xref>). <xref ref-type="bibr" rid="B81">Szeb&#x00E9;nyi et al. (2021)</xref> developed an hBO slice culture model from iPSCs of <italic>C9ORF72</italic> ALS patients and identified early pathological features, including P62 accumulation in astroglia, poly(GA) dipeptide aggregates, DNA damage, and nuclear pyknosis in deep-layer neurons, which were partially rescued by treatment with the PERK inhibitor GSK2606414. <xref ref-type="bibr" rid="B84">Tamaki et al. (2023)</xref> reported that TDP-43 aggregates spread intercellularly within hBOs. This spread triggers astrocyte proliferation, DNA double-strand breaks, and cell death, which are hallmarks of ALS pathology. <xref ref-type="bibr" rid="B26">de Majo et al. (2023)</xref> demonstrated that <italic>GRN</italic>-deficient astrocytes induced TDP-43 hyperphosphorylation and misfolding in hBOs, a molecular signature of TDP-43 proteinopathy. Furthermore, co-culture models of hBOs and microglia have offered deeper insights into how glial cells, especially microglia and astrocytes, interact in ALS pathogenesis (<xref ref-type="bibr" rid="B33">Hong et al., 2023</xref>).</p>
</sec>
<sec id="S5.SS4">
<label>5.4</label>
<title>Autism spectrum disorders (ASD)</title>
<p>Autism spectrum disorders is a complex neurodevelopmental condition characterized by deficits in social communication, language impairments, and repetitive behaviors, with highly heterogeneous genetic and environmental etiologies. <xref ref-type="bibr" rid="B97">Zhang et al. (2020)</xref> reported that mutations in <italic>RAB39B</italic> led to increased hBO volume and excessive neural progenitor cell (NPC) proliferation, resulting in thickened SOX2<sup>+</sup> ventricular zones and impaired neuronal differentiation. These abnormalities were attributed to hyperactivation of the PI3K-AKT-mTOR signaling pathway following <italic>RAB39B</italic> deletion (<xref ref-type="bibr" rid="B97">Zhang et al., 2020</xref>). Wang et al. utilized CRISPR-Cas9 to generate <italic>CHD8</italic>-deficient iPSCs, which were subsequently differentiated into hBOs. Their study revealed that <italic>CHD8</italic> regulates ASD-associated genes, such as <italic>TCF4</italic> and <italic>AUTS2</italic>, affecting Wnt/&#x03B2;-catenin signaling and GABAergic neuron differentiation&#x2013;key processes implicated in ASD pathogenesis (<xref ref-type="bibr" rid="B88">Wang P. et al., 2017</xref>). <xref ref-type="bibr" rid="B53">Mariani et al. (2015)</xref> demonstrated that hBOs derived from ASD patients exhibited accelerated NPC cell cycle progression during early neurodevelopment, leading to overproduction of GABAergic neurons and resulting in an excitatory/inhibitory (E/I) imbalance. This phenotype was potentially driven by dysregulation of the <italic>FOXG1</italic> gene (<xref ref-type="bibr" rid="B53">Mariani et al., 2015</xref>). <xref ref-type="bibr" rid="B75">Schafer et al. (2019)</xref> analyzed patient-derived hBOs and identified asynchronous disruptions in gene regulatory networks during early NPC development, which prematurely promoted neuronal differentiation. Additionally, <xref ref-type="bibr" rid="B52">Marchetto et al. (2017)</xref> showed that aberrant regulation of the &#x03B2;-catenin/<italic>BRN2</italic> transcriptional axis resulted in synaptic transmission deficits and functional impairments in neuronal networks derived from ASD hBOs.</p>
</sec>
<sec id="S5.SS5">
<label>5.5</label>
<title>Achalasia-microcephaly syndrome (AMS)</title>
<p>Achalasia-microcephaly syndrome is a neurodevelopmental disorder (NDVD) characterized by imbalanced NPC proliferation and apoptosis, leading to reduced neuronal and glial populations and resulting in structural abnormalities of the brain. Key genes implicated in AMS pathogenesis include <italic>NARS1</italic>, <italic>WDR62</italic>, <italic>CDK5RAP2</italic>, and <italic>CPAP</italic>. <xref ref-type="bibr" rid="B48">Lancaster et al. (2013)</xref> were among the first to model AMS using hBOs derived from patient-specific iPSCs carrying <italic>CDK5RAP2</italic> mutations. These organoids exhibited key pathological features, including impaired NPC proliferation and premature neuronal differentiation. Moreover, by employing RNA interference and patient-derived iPSCs, hBOs were generated that recapitulated the core characteristics of microcephaly, such as disrupted progenitor zone organization and early neurogenesis, providing critical insights into the cellular mechanisms contributing to the reduced brain size observed in AMS patients (<xref ref-type="bibr" rid="B48">Lancaster et al., 2013</xref>). <xref ref-type="bibr" rid="B87">Wang L. et al. (2020)</xref> developed cortical hBOs from AMS patients with <italic>NARS1</italic> mutations and observed diminished proliferative capacity of radial glial cells (RGCs) and disrupted lineage specification of both RGCs and astrocytes. These findings underscore the critical role of <italic>NARS1</italic> in RGC regulation during brain development (<xref ref-type="bibr" rid="B87">Wang L. et al., 2020</xref>). <xref ref-type="bibr" rid="B30">Gabriel et al. (2016)</xref> used iPSC-derived hBOs to show that loss of <italic>CPAP</italic>, another AMS-associated gene, induced a premature shift from symmetric to asymmetric NPC division, ultimately impairing neurogenesis. Similarly, <xref ref-type="bibr" rid="B98">Zhang et al. (2019)</xref> modeled primary AMS using hBOs bearing <italic>WDR62</italic> mutations and reported defects in NPC cell cycle progression and reduced outer radial glia proliferation.</p>
</sec>
<sec id="S5.SS6">
<label>5.6</label>
<title>Epilepsy (EP) and brain tumors (BT)</title>
<p>Human brain organoids have emerged as powerful platforms for investigating the pathogenesis of EP and BT. <xref ref-type="bibr" rid="B5">Adeyeye et al. (2024)</xref> demonstrated the utility of integrating hBOs with microelectrode array (MEA) technology to study impaired plasticity and aberrant information processing in epileptic neural circuits. <xref ref-type="bibr" rid="B19">Brown et al. (2024)</xref> demonstrated that hBOs replicate key developmental and electrophysiological features of genetic epilepsies, including hyperexcitability dynamics and responsiveness to antiepileptic drugs, thus providing a physiologically relevant 3D model to investigate EP and screen therapeutic compounds. By engineering diverse hBO-based epilepsy models, researchers have explored mechanisms underlying EP and the interplay between neuronal firing patterns, cellular maturation, and subtype-specific vulnerability (<xref ref-type="bibr" rid="B31">Gross, 2022</xref>). Moreover, hBOs deficient in <italic>CDKL5</italic> successfully recapitulated epilepsy-related phenotypes. These models revealed that <italic>CDKL5</italic> mutations cause early-stage cortical neuron hyperexcitability, which is followed by late-stage hypoexcitability. Importantly, both hyperexcitability and hypoexcitability were reversed by pharmacological or gene therapy interventions (<xref ref-type="bibr" rid="B60">Negraes et al., 2021</xref>). In BT research, <xref ref-type="bibr" rid="B51">Linkous et al. (2019)</xref> developed a glioblastoma (GBM) model by co-culturing patient-derived glioblastoma stem cells (GSCs) with embryonic stem cells (ESCs) to generate GSC-hBOs. These GSCs exhibited deep tissue infiltration, proliferated within host tissue, and formed tumor-like masses that closely mimicked primary GBM pathology (<xref ref-type="bibr" rid="B51">Linkous et al., 2019</xref>). In studies of medulloblastoma (MB), <xref ref-type="bibr" rid="B11">Ballabio et al. (2020)</xref> demonstrated that <italic>SMARCA4</italic> suppresses the oncogenic activity of the <italic>OTX2/MYC</italic> axis in both patient-derived tissues and hBO models. Treatment with an <italic>EZH2</italic>-specific inhibitor significantly reduced <italic>OTX2/MYC</italic>-driven tumorigenesis in hBOs, underscoring the potential of hBOs for modeling genetic drivers and therapeutic responses in MB.</p>
</sec>
</sec>
<sec id="S6">
<label>6</label>
<title>Conclusion and future perspectives</title>
<p>Human brain organoids represent powerful tools for modeling ND including AD, PD, ASD, ALS, AMS and others. By providing representative examples, this review highlights how hBOs are being applied to investigate disease-specific mechanisms and therapy. Compared to 2D cultures and animal models, hBOs better replicate the structural complexity and cellular diversity of the human brain, enhancing their translational relevance. However, several limitations persist, including limited vascularization, incomplete neuronal maturation, batch variability, lack of microglia and mature oligodendrocytes, and ethical concerns. While emerging technologies such as multi-omics integration, gene editing, and biomaterial engineering hold great promise, this mini-review does not provide comprehensive coverage of those aspects. Continued progress in standardization and bioengineering will be essential to overcome current challenges and unlock the full diagnostic and therapeutic potential of hBOs in neuroscience research.</p>
</sec>
</body>
<back>
<sec id="S7" sec-type="author-contributions">
<title>Author contributions</title>
<p>HL: Writing &#x2013; review &#x0026; editing, Investigation, Conceptualization, Writing &#x2013; original draft. JZ: Investigation, Writing &#x2013; original draft, Conceptualization, Writing &#x2013; review &#x0026; editing. JL: Software, Investigation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. YW: Data curation, Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CL: Writing &#x2013; original draft, Data curation, Investigation, Writing &#x2013; review &#x0026; editing. YH: Data curation, Writing &#x2013; original draft, Investigation, Writing &#x2013; review &#x0026; editing. JW: Data curation, Investigation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. WL: Writing &#x2013; review &#x0026; editing, Funding acquisition, Conceptualization, Writing &#x2013; original draft. HW: Investigation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Funding acquisition, Conceptualization. ZM: Conceptualization, Investigation, Funding acquisition, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft.</p>
</sec>
<sec id="S9" 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 id="S10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</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>
<sec id="S11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/402815/overview">Fabiola M. Ribeiro</ext-link>, Federal University of Minas Gerais, Brazil</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2422710/overview">Pablo Leal Cardozo</ext-link>, Federal University of Minas Gerais, Brazil</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3129407/overview">Raghav Mishra</ext-link>, Lloyd Institute of Management &#x0026; Technology, India</p></fn>
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