Can metabolic profiling provide a new description of osteoarthritis and enable a personalised medicine approach?

Can metabolic profiling provide a new description of osteoarthritis and enable a personalised medicine approach?
复制标题

DOI:
10.1007/s10067-020-05106-3
复制
发表时间:
2020-12
影响因子:
3.4
通讯作者:
Gupte CM
Gupte CM
中科院分区:
医学3区
文献类型:
--
作者:
Jaggard MKJ;Boulangé CL;Graça G;Vaghela U;Akhbari P;Bhattacharya R;Williams HRT;Lindon JC;Gupte CM

文献摘要

参考文献

相似文献

骨关节炎(OA)是一种多因素疾病,在西方人群中造成严重的残疾和经济负担。骨性关节炎的病因尚不清楚,但被认为涉及遗传、机械和环境因素。目前,OA的诊断主要依赖于临床评估和发病后很长时间的x线平片改变。最近的进展表明,关节液代谢物的变化与骨关节炎的发展有关。如果是这样的话,OA的生化和代谢生物标志物可以帮助确定预后,监测疾病进展并确定潜在的治疗靶点。此外,为了集中管理和个性化医疗,新的生物标志物可以将患者亚分层为OA表型,区分代谢性OA与创伤后OA、年龄相关OA和遗传性OA。迄今为止,OA生物标志物主要集中在细胞因子作用和蛋白质信号传导方面,并取得了一些进展。然而,这些仍有待于常规临床实践采用。在这篇综述中,我们概述了新出现的代谢与OA发病机制的联系,以及如何阐明这种情况下的代谢变化可能为未来区分OA亚型提供更具描述性的生物标志物。
Osteoarthritis (OA) is a multifactorial disease contributing to significant disability and economic burden in Western populations. The aetiology of OA remains poorly understood, but is thought to involve genetic, mechanical and environmental factors. Currently, the diagnosis of OA relies predominantly on clinical assessment and plain radiographic changes long after the disease has been initiated. Recent advances suggest that there are changes in joint fluid metabolites that are associated with OA development. If this is the case, biochemical and metabolic biomarkers of OA could help determine prognosis, monitor disease progression and identify potential therapeutic targets. Moreover, for focussed management and personalised medicine, novel biomarkers could sub-stratify patients into OA phenotypes, differentiating metabolic OA from post-traumatic, age-related and genetic OA. To date, OA biomarkers have concentrated on cytokine action and protein signalling with some progress. However, these remain to be adopted into routine clinical practice. In this review, we outline the emerging metabolic links to OA pathogenesis and how an elucidation of the metabolic changes in this condition may provide future, more descriptive biomarkers to differentiate OA subtypes.
DOI: 10.1136/ard.2010.146399
发表时间: 2011-08-01
影响因子: 27.4
作者:
Berenbaum, Francis
通讯作者: Berenbaum, Francis
DOI: 10.1002/jor.1100170211
发表时间: 1999-03-01
影响因子: 2.8
作者:
Damyanovich, AZ;Staples, JR;Marshall, KW
通讯作者: Marshall, KW
DOI: 10.1016/j.joca.2011.10.010
发表时间: 2012-01
影响因子: 7
作者:
Adams, S. B., Jr.;Setton, L. A.;Kensicki, E.;Bolognesi, M. P.;Toth, A. P.;Nettles, D. L.
通讯作者: Nettles, D. L.
DOI: 10.1002/jor.22743
发表时间: 2015-01-01
影响因子: 2.8
作者:
Mickiewicz, Beata;Heard, Bryan J.;Vogel, Hans J.
通讯作者: Vogel, Hans J.
DOI: 10.1042/cs0850343
发表时间: 1993-09-01
期刊: CLINICAL SCIENCE
影响因子: 6
作者:
DUFFY, JM;GRIMSHAW, J;WALSH, E
通讯作者: WALSH, E