Gibson David S, Bustard Michael J, McGeough Cathy M, Murray Helena A, Crockard Martin A, McDowell Andrew, Blayney Jayne K, Gardiner Philip V, Bjourson Anthony J
Northern Ireland Centre for Stratified Medicine, University of Ulster, C-TRIC Building, Altnagelvin Hospital campus, Glenshane Road, Londonderry, BT47 6SB, UK.
Expert Rev Mol Diagn. 2015 Feb;15(2):219-34. doi: 10.1586/14737159.2015.969244. Epub 2014 Dec 2.
Musculoskeletal diseases such as rheumatoid arthritis are complex multifactorial disorders that are chronic in nature and debilitating for patients. A number of drug families are available to clinicians to manage these disorders but few tests exist to target these to the most responsive patients. As a consequence, drug failure and switching to drugs with alternate modes of action is common. In parallel, a limited number of laboratory tests are available which measure biological indicators or 'biomarkers' of disease activity, autoimmune status, or joint damage. There is a growing awareness that assimilating the fields of drug selection and diagnostic tests into 'companion diagnostics' could greatly advance disease management and improve outcomes for patients. This review aims to highlight: the current applications of biomarkers in rheumatology with particular focus on companion diagnostics; developments in the fields of proteomics, genomics, microbiomics, imaging and bioinformatics and how integration of these technologies into clinical practice could support therapeutic decisions.
类风湿关节炎等肌肉骨骼疾病是复杂的多因素疾病,具有慢性特征,会使患者虚弱无力。临床医生有多种药物类别可用于治疗这些疾病,但针对最有反应的患者进行靶向治疗的检测方法却很少。因此,药物治疗失败以及转而使用具有不同作用方式的药物的情况很常见。与此同时,可用于测量疾病活动、自身免疫状态或关节损伤的生物指标或“生物标志物”的实验室检测数量有限。人们越来越意识到,将药物选择和诊断检测领域整合为“伴随诊断”可以极大地推动疾病管理并改善患者的治疗效果。本综述旨在强调:生物标志物在风湿病学中的当前应用,尤其关注伴随诊断;蛋白质组学、基因组学、微生物组学、影像学和生物信息学领域的发展,以及将这些技术整合到临床实践中如何支持治疗决策。