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REVIEW article

Front. Neurosci.

Sec. Translational Neuroscience

Volume 19 - 2025 | doi: 10.3389/fnins.2025.1527826

This article is part of the Research Topic Advances in Technology and Engineering Tools for Neuroscience Research in Animal Models View all articles

Model Systems for Emulating Human Tissue and Physiology in Psychiatric Research

Provisionally accepted
Kai Cheng Kai Cheng 1Anannya Kshirsagar Anannya Kshirsagar 2John Nixon John Nixon 2*Johnathan Lau Johnathan Lau 2*Kun Yang Kun Yang 3Akira Sawa Akira Sawa 2,3,4Annie Kathuria Annie Kathuria 2,5*
  • 1 Johns Hopkins University, Baltimore, United States
  • 2 Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, United States
  • 3 Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins Medicine, Baltimore, Maryland, United States
  • 4 Department of Neuroscience, Johns Hopkins School of Medicine,, Baltimore, MD, United States
  • 5 Kavli Neuroscience Discovery Institute, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, United States

The final, formatted version of the article will be published soon.

    To Editor-in-Chief Erica Jung and Co-Editors Frontiers in Neuroscience I am pleased to submit our review manuscript titled "Model Systems for Emulating Human Tissue and Physiology in Psychiatric Research", for consideration in Frontiers in Neuroscience. This review compares traditional psychiatric research models with emerging brain organoid models, providing a comprehensive look at advancements in modeling human brain physiology. Our review highlights recent studies illustrating the limitations of traditional 2D and animal models in replicating psychiatric disorders and advocates for advanced 3D iPSC-based organoid systems. It emphasizes how 3D cerebral organoids offer a more physiologically relevant platform to study disease mechanisms, providing insight into etiology and therapeutic pathways. The manuscript also suggests future directions, particularly integrating high-throughput and computational techniques with 3D models to enhance precision in psychiatric research. This manuscript aligns with the journal's mission to showcase innovative methodologies and translational research in neuroscience. By bridging disciplines such as fundamental biology, tissue engineering, and biotechnology, our review presents a timely overview of organoid models' potential for transformative insights and real-world applications in psychiatric research. We thank you for the invitation and would be honored to have our manuscript submitted for publication consideration.

    Keywords: Conceptualization, Data curation, Formal analysis, investigation, Writing -original draft, Writing -review & editing. Annie Kathuria: Conceptualization, project administration, supervision

    Received: 13 Nov 2024; Accepted: 12 Feb 2025.

    Copyright: © 2025 Cheng, Kshirsagar, Nixon, Lau, Yang, Sawa and Kathuria. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor 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.

    * Correspondence:
    John Nixon, Whiting School of Engineering, Johns Hopkins University, Baltimore, 21218, Maryland, United States
    Johnathan Lau, Whiting School of Engineering, Johns Hopkins University, Baltimore, 21218, Maryland, United States
    Annie Kathuria, Whiting School of Engineering, Johns Hopkins University, Baltimore, 21218, Maryland, United States

    Disclaimer: 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.

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