The Barancik award lecture: Multi-disciplinary research will be the key to stop, restore, and end MS.

IF 4.8 2区 医学 Q1 CLINICAL NEUROLOGY
Multiple Sclerosis Journal Pub Date : 2025-04-01 Epub Date: 2025-01-28 DOI:10.1177/13524585251314756
Sergio E Baranzini
{"title":"The Barancik award lecture: Multi-disciplinary research will be the key to stop, restore, and end MS.","authors":"Sergio E Baranzini","doi":"10.1177/13524585251314756","DOIUrl":null,"url":null,"abstract":"<p><p>The past 25 years have brought extraordinary advances in our understanding of MS pathogenesis and the subsequent development of effective therapies. Collaborative genetics efforts have uncovered the association of 236 common DNA variants with disease susceptibility and the first association with disease severity, paving the way to more effective therapies, particularly for progressive forms of the disease. In parallel, and in addition to established environmental disease triggers or modifiers, new collaborative work has revealed new associations with components of the gut microbiome. This research opened a new and exciting prospect for exploring the gut-brain axis, with the potential to also provide new pharmacologic targets and diet-based therapies. Finally, with the availability of massive amounts of information and unprecedented computer power, a new wave of artificial intelligence (AI)-based research is sprawling. These investigations will result in statistically powerful predictive models to identify individuals at risk even years before the disease is clinically apparent. Furthermore, using approaches like semantic representation and causal inference, some of these approaches will be explainable in biomedical terms, thus making them trusted and facilitating their implementation in the clinical setting. The common thread that characterizes all of these advances is multi-disciplinary collaboration among scientists in the form of formal consortia, working groups, or ad hoc partnerships. This may be the \"secret sauce\" of modern science and the best strategy to stop, restore, and end MS.</p>","PeriodicalId":18874,"journal":{"name":"Multiple Sclerosis Journal","volume":" ","pages":"384-391"},"PeriodicalIF":4.8000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11956383/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multiple Sclerosis Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/13524585251314756","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

The past 25 years have brought extraordinary advances in our understanding of MS pathogenesis and the subsequent development of effective therapies. Collaborative genetics efforts have uncovered the association of 236 common DNA variants with disease susceptibility and the first association with disease severity, paving the way to more effective therapies, particularly for progressive forms of the disease. In parallel, and in addition to established environmental disease triggers or modifiers, new collaborative work has revealed new associations with components of the gut microbiome. This research opened a new and exciting prospect for exploring the gut-brain axis, with the potential to also provide new pharmacologic targets and diet-based therapies. Finally, with the availability of massive amounts of information and unprecedented computer power, a new wave of artificial intelligence (AI)-based research is sprawling. These investigations will result in statistically powerful predictive models to identify individuals at risk even years before the disease is clinically apparent. Furthermore, using approaches like semantic representation and causal inference, some of these approaches will be explainable in biomedical terms, thus making them trusted and facilitating their implementation in the clinical setting. The common thread that characterizes all of these advances is multi-disciplinary collaboration among scientists in the form of formal consortia, working groups, or ad hoc partnerships. This may be the "secret sauce" of modern science and the best strategy to stop, restore, and end MS.

多学科研究将是阻止、恢复和终结多发性硬化症的关键。
在过去的25年里,我们对多发性硬化症发病机制的理解和有效治疗的后续发展取得了非凡的进展。遗传学合作发现了236种常见的DNA变异与疾病易感性的关联,以及与疾病严重程度的首次关联,为更有效的治疗铺平了道路,特别是对进行性疾病的治疗。与此同时,除了已确定的环境疾病触发因素或修饰因素外,新的合作工作还揭示了与肠道微生物组组成部分的新关联。这项研究为探索肠脑轴开辟了一个令人兴奋的新前景,也有可能提供新的药理靶点和基于饮食的治疗方法。最后,随着大量信息的可用性和前所未有的计算机能力,基于人工智能(AI)的新一波研究正在蔓延。这些调查将产生统计上强大的预测模型,甚至在疾病临床表现明显之前几年就识别出处于危险中的个体。此外,使用语义表示和因果推理等方法,其中一些方法可以用生物医学术语解释,从而使它们可信并促进它们在临床环境中的实施。所有这些进步的共同特征是科学家之间以正式联盟、工作组或特别伙伴关系的形式进行多学科合作。这可能是现代科学的“秘密武器”,也是阻止、恢复和终结多发性硬化症的最佳策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Multiple Sclerosis Journal
Multiple Sclerosis Journal 医学-临床神经学
CiteScore
10.90
自引率
6.90%
发文量
186
审稿时长
3-8 weeks
期刊介绍: Multiple Sclerosis Journal is a peer-reviewed international journal that focuses on all aspects of multiple sclerosis, neuromyelitis optica and other related autoimmune diseases of the central nervous system. The journal for your research in the following areas: * __Biologic basis:__ pathology, myelin biology, pathophysiology of the blood/brain barrier, axo-glial pathobiology, remyelination, virology and microbiome, immunology, proteomics * __Epidemology and genetics:__ genetics epigenetics, epidemiology * __Clinical and Neuroimaging:__ clinical neurology, biomarkers, neuroimaging and clinical outcome measures * __Therapeutics and rehabilitation:__ therapeutics, rehabilitation, psychology, neuroplasticity, neuroprotection, and systematic management Print ISSN: 1352-4585
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信