Insights into the molecular landscape of osteoarthritis in human tissues.
Insights into the molecular landscape of osteoarthritis in human tissues.
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DOI：
10.1097/bor.0000000000000853
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发表时间：
2022-01-01
影响因子：
5.1
通讯作者：
Zeggini E
中科院分区：
文献类型：
--
作者：
Katsoula G;Kreitmaier P;Zeggini E
概述骨关节炎研究领域的最新进展，重点关注从不同组学技术的应用中收集的见解。我们搜索了自2019年11月以来发表的骨关节炎相关研究，重点是转录组学，表观基因组学，蛋白质组学和代谢组学。研究设计显示出以高分辨率表征骨关节炎相关组织的基因组谱的趋势，例如通过使用单细胞技术或通过考虑几个组学水平和疾病阶段。多组织相互作用（软骨-软骨下骨;软骨-滑膜）在骨关节炎的病理生理学中普遍存在，其特征在于炎症环境中的大量基质重塑。使用基因组学技术的分型方法有助于鉴定至少两种骨关节炎内源型。使用数据整合方法的研究提供了骨关节炎组织特异性的分子图谱，并为将这些数据整合方法扩展到更全面的疾病病因学观点铺平了道路。
To provide an overview of recent developments in the field of osteoarthritis research with a focus on insights gleaned from the application of different -omic technologies. We searched for osteoarthritis-relevant studies focusing on transcriptomics, epigenomics, proteomics and metabolomics, published since November of 2019. Study designs showed a trend towards characterizing the genomic profile of osteoarthritis-relevant tissues with high resolution, for example either by using single-cell technologies or by considering several -omic levels and disease stages. Multitissue interactions (cartilage–subchondral bone; cartilage–synovium) are prevalent in the pathophysiology of osteoarthritis, which is characterized by substantial matrix remodelling in an inflammatory milieu. Subtyping approaches using -omic technologies have contributed to the identification of at least two osteoarthritis endotypes. Studies using data integration approaches have provided molecular maps that are tissue-specific for osteoarthritis and pave the way for expanding these data integration approaches towards a more comprehensive view of disease aetiopathogenesis.