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REVIEW article

Front. Cell. Neurosci.
Sec. Cellular Neuropathology
Volume 18 - 2024 | doi: 10.3389/fncel.2024.1488691
This article is part of the Research Topic Brain Organoids in Neuroimmunology View all articles

Brain Organoid Methodologies to Explore Mechanisms of Disease in Progressive Multiple Sclerosis

Provisionally accepted

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

    Multiple sclerosis (MS), a debilitating autoimmune disorder targeting the central nervous system (CNS), is marked by relentless demyelination and inflammation. Clinically, it presents in three distinct forms: relapsing-remitting MS (RRMS), primary progressive MS (PPMS), and secondary progressive MS (SPMS). While disease-modifying therapies (DMTs) offer some relief to people with RRMS, treatment options for progressive MS (pMS) remain frustratingly inadequate. This gap highlights an urgent need for advanced disease modeling techniques to unravel the intricate pathology of pMS. Human induced pluripotent stem cell (iPSC) technologies and brain organoids are emerging as promising tools for disease modeling in both 2D and 3D in vitro environments. These innovative approaches enable the study of disease mechanisms that closely mimic human pathophysiology and offer new platforms for screening therapeutic compounds, surpassing the limitations of traditional animal models. However, deploying brain organoids in disease modeling presents challenges, especially in the context of non-monogenic disorders. This review delves into cutting-edge brain organoid techniques that hold the potential to revolutionize our understanding of pMS, offering a pathway to disentangle its underlying mechanisms and drive transformative discoveries.

    Keywords: Progressive multiple sclerosis, smoldering inflammation, Stem Cells, disease modeling, neuroimmunology, brain organoids, precision medicine, regenerative neuroimmunology

    Received: 30 Aug 2024; Accepted: 04 Dec 2024.

    Copyright: © 2024 Simões-Abade, Patterer, Nicaise and Pluchino. 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:
    Alexandra M Nicaise, University of Cambridge, Cambridge, United Kingdom
    Stefano Pluchino, University of Cambridge, Cambridge, United Kingdom

    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.