BIOMARKERS OF THERAPEUTIC RESPONSE AND DISEASE PROGNOSIS IN NON-SYSTEMIC JUVENILE IDIOPATHIC ARTHRITIS

S. Khalchitskiy, Ю.А. Грачева, S.A. Pechalnova, K. G. Buslov, S. Vissarionov
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Abstract

The search for biomarkers of juvenile idiopathic arthritis (JIA) is a promising and rapidly expanding area of research. The identified biomarkers can help analyze the clinical heterogeneity of the disease, measure disease activity parameters, predict clinical remission, relapse, drug response, time course, complications, and prevent disease exacerbations. Modern generation of molecular and cellular biomarkers (autoantibodies, acute phase inflammatory proteins, cytokines, chemokines, vascular endothelial activation markers, immunoglobulins, components of the complement system, lymphocyte subpopulations, metabolic products of bone and cartilage tissue, intracellular signaling molecules, proteases, genetic, epigenetic, transcriptome markers) is an important tool for prevention, early diagnosis, assessment of activity, progression rate, clinical and laboratory subtypes of JIA, predicting the effectiveness of therapy and the risk of developing adverse reactions during treatment. Deciphering the key pathogenetic mechanisms of JIA has made it possible to identify molecular and cellular biomarkers that can be used as therapeutic targets. Incorporating valid and reliable biomarkers into standard clinical care can help develop more effective patient-tailored treatment regimens and improve therapeutic strategies. Establishing biomarkers that predict the risk of exacerbation of the disease may lead to the determination of the optimal ways to stop treatment after achieving clinical remission.
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非系统性青少年特发性关节炎治疗反应和疾病预后的生物标志物
寻找青少年特发性关节炎(JIA)的生物标志物是一个有前景且迅速扩大的研究领域。确定的生物标志物可以帮助分析疾病的临床异质性,测量疾病活动参数,预测临床缓解、复发、药物反应、时间过程、并发症和预防疾病恶化。现代一代的分子和细胞生物标志物(自身抗体、急性期炎症蛋白、细胞因子、趋化因子、血管内皮激活标志物、免疫球蛋白、补体系统成分、淋巴细胞亚群、骨和软骨组织代谢产物、细胞内信号分子、蛋白酶、遗传、表观遗传、转录组标志物)是预防、早期诊断、评估活性、进展率、JIA的临床和实验室亚型,预测治疗的有效性和治疗期间发生不良反应的风险。破译JIA的关键发病机制使鉴定可作为治疗靶点的分子和细胞生物标志物成为可能。将有效和可靠的生物标志物纳入标准临床护理可以帮助制定更有效的针对患者的治疗方案并改进治疗策略。建立预测疾病恶化风险的生物标志物可能导致确定在达到临床缓解后停止治疗的最佳方法。
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