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从机制到医学:表观遗传学在骨关节炎中的进展与潜力

From mechanism to medicine: The progress and potential of epigenetics in osteoarthritis.

作者信息

Roberts Jack B, Rockel Jason S, Mulders Rick, Capellini Terence D, Appleton C Thomas, Phanstiel Douglas H, Lories Rik, Geurts Jeroen, Ali Shabana Amanda, Bhutani Nidhi, Stone Laura, Cruz-Almeida Yenisel, Jurisica Igor, Boer Cindy G, Ramos Yolande F M, Rice Sarah J, Kapoor Mohit

机构信息

Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.

Division of Orthopedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network and Krembil Research Institute, University Health Network, Toronto, ON, Canada.

出版信息

Osteoarthr Cartil Open. 2025 Apr 29;7(3):100621. doi: 10.1016/j.ocarto.2025.100621. eCollection 2025 Sep.

DOI:10.1016/j.ocarto.2025.100621
PMID:40487807
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12142501/
Abstract

OBJECTIVE

Osteoarthritis (OA) is a chronic, degenerative disease of the articular joints. The disease presents an enormous clinical and economic burden globally, due in part to the lack of disease modifying therapies. For over a decade, OA researchers have been working to determine epigenetic mechanisms underlying the disease to better understand pathology, identify biomarkers of progression, and pinpoint novel targets for therapeutic intervention.

DESIGN

This article presents a summary of the 3rd International Workshop on the Epigenetics of Osteoarthritis held in Toronto, Ontario, Canada, in September 2024. The purpose of this meeting was to gather the international community to discuss the status of OA epigenetic research and share expertise on innovative techniques for future.

RESULTS

Since the two previous meetings, there has been increasing adoption of advanced single-cell and spatial sequencing technologies and bioinfomatic analyses. Furthermore, investigations of multiple joint tissues has highlighted the shifting paradigm from OA as a cartilage centric disease to the consideration of all joint tissues.

CONCLUSIONS

The workshop provided a unique opportunity for early-career researchers to expand their network, and for all participants to discuss new or improved approaches to advance the field, including international consortia and data sharing. The highlights and outcomes from this OA epigenetics workshop are described in this report.

摘要

目的

骨关节炎(OA)是一种关节的慢性退行性疾病。该疾病在全球造成了巨大的临床和经济负担,部分原因是缺乏疾病修饰疗法。十多年来,OA研究人员一直致力于确定该疾病背后的表观遗传机制,以更好地理解病理、识别疾病进展的生物标志物,并确定治疗干预的新靶点。

设计

本文概述了2024年9月在加拿大多伦多安大略省举行的第三届骨关节炎表观遗传学国际研讨会。本次会议的目的是召集国际社会讨论OA表观遗传研究的现状,并分享未来创新技术方面的专业知识。

结果

自前两次会议以来,先进的单细胞和空间测序技术以及生物信息学分析的应用越来越多。此外,对多个关节组织的研究突出了从将OA视为以软骨为中心的疾病到考虑所有关节组织的范式转变。

结论

本次研讨会为早期研究人员提供了一个拓展人脉的独特机会,也让所有参与者能够讨论推进该领域发展的新方法或改进方法,包括国际联盟和数据共享。本报告介绍了本次OA表观遗传学研讨会的亮点和成果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aa8/12142501/e67faafd0367/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aa8/12142501/e67faafd0367/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aa8/12142501/e67faafd0367/gr1.jpg

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本文引用的文献

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Arthritis Rheumatol. 2025 May 12. doi: 10.1002/art.43231.
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Circulating miR-126-3p is a mechanistic biomarker for knee osteoarthritis.循环中的miR-126-3p是膝关节骨关节炎的一种机制性生物标志物。
Nat Commun. 2025 Feb 27;16(1):2021. doi: 10.1038/s41467-025-57308-5.
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Deep learning-based clustering for endotyping and post-arthroplasty response classification using knee osteoarthritis multiomic data.
基于深度学习的聚类分析,用于利用膝关节骨关节炎多组学数据进行内型分类和关节置换术后反应分类
Ann Rheum Dis. 2025 May;84(5):844-855. doi: 10.1016/j.ard.2025.01.012. Epub 2025 Feb 12.
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Cell and transcriptomic diversity of infrapatellar fat pad during knee osteoarthritis.膝关节骨关节炎期间髌下脂肪垫的细胞和转录组多样性
Ann Rheum Dis. 2025 Feb;84(2):351-367. doi: 10.1136/ard-2024-225928. Epub 2025 Jan 2.
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Response eQTLs, chromatin accessibility, and 3D chromatin structure in chondrocytes provide mechanistic insight into osteoarthritis risk.软骨细胞中的反应性表达数量性状基因座、染色质可及性和三维染色质结构为骨关节炎风险提供了机制性见解。
Cell Genom. 2025 Jan 8;5(1):100738. doi: 10.1016/j.xgen.2024.100738.
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A scoping review of statistical methods to investigate colocalization between genetic associations and microRNA expression in osteoarthritis.一项关于研究骨关节炎中基因关联与微小RNA表达共定位的统计方法的范围综述。
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