通过预测性代谢组学分析评估类风湿关节炎的治疗反应性:对甲氨蝶呤、TNF和IL-6抑制剂作为治疗干预措施的研究进行系统回顾。

IF 2.9 3区 医学 Q2 RHEUMATOLOGY
Clinical Rheumatology Pub Date : 2025-03-01 Epub Date: 2025-02-10 DOI:10.1007/s10067-025-07355-6
Larisa M Musaeva, Ksenia M Shestakova, Sabina N Baskhanova, Valeria G Varzieva, Alex Brito, Irina Menshikova, Svetlana A Appolonova
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引用次数: 0

摘要

类风湿性关节炎(RA)是一种以关节损伤和全身受累为特征的系统性慢性自身免疫性疾病。尽管对RA的了解有所进展,但由于复杂的发病机制和现有生物标志物的有限特异性,早期诊断和有效治疗仍然具有挑战性。代谢组学为识别新的生物标志物来评估RA的治疗反应性提供了一种有希望的方法。进行了一项系统综述,以确定可能揭示RA治疗中对不同药物治疗策略(甲氨蝶呤、TNF和IL-6抑制剂)的反应性的关键代谢物和代谢途径。按照PRISMA的建议,在PubMed和谷歌Scholar中进行系统检索。使用非随机干预研究的偏倚风险(ROBINS-I)工具和QUADOMICS工具对最终选定研究的偏倚风险和质量进行了两份评估。18项研究符合数据提取条件。代谢组学研究揭示了不同RA治疗的反应者和无反应者的不同特征。对于甲氨蝶呤治疗,主要代谢物包括:同型半胱氨酸、甘油-3-磷酸和二磷酸甘油三酸。TNF抑制剂反应主要与碳水化合物衍生物和氨基酸的变化有关。IL-6抑制剂研究发现代谢物如n -乙酰氨基葡萄糖、n -乙酰半乳糖胺和n -乙酰神经氨酸是反应的潜在预测因子。在所有研究中,代谢组学谱在区分应答者和无应答者方面表现出高度的敏感性和特异性。这些研究共同强调了TCA循环代谢物、氨基酸、核苷酸代谢和脂质谱等方面的变化。本综述支持基于代谢组学分析选择甲氨蝶呤、TNF或IL-6抑制剂作为治疗干预的更好治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating treatment responsiveness in rheumatoid arthritis through predictive metabolomic profiling: A systematic review of studies examining methotrexate, TNF, and IL-6 inhibitors as therapeutic interventions.

Rheumatoid arthritis (RA) is a systemic chronic autoimmune disease characterized by joint damage and systemic involvement. Despite advancements in understanding RA, early diagnosis and effective treatment remain challenging due to the complex pathogenesis and limited specificity of current biomarkers. Metabolomics, offers a promising approach for identifying new biomarkers to assess treatment responsiveness in RA. A systematic review was conducted to identify key metabolites and metabolic pathways that may reveal responsiveness to different drug therapy strategies (methotrexate, TNF, and IL-6 inhibitors) in RA treatment. The systematic search was conducted in PubMed and Google Scholar in accordance with PRISMA recommendations. The risk of bias and the quality of the final selected studies were assessed in duplicate using the Risk Of Bias In Non-randomized Studies - of Interventions (ROBINS-I) tool and using the QUADOMICS tool. Eighteen studies were eligible for data extraction. Metabolomic studies revealed distinct profiles for responders and non-responders to different RA treatments. For methotrexate therapy, key metabolites included for example: homocysteine, glycerol-3-phosphate, and diphosphoglyceric acid. TNF inhibitor response was associated mainly with changes in carbohydrate derivatives and amino acids. IL-6 inhibitor studies identified metabolites such as N-acetylglucosamine, N-acetylgalactosamine, and N-acetylneuraminic acid as potential predictors of response. Across studies, metabolomic profiles demonstrated high sensitivity and specificity in distinguishing responders from non-responders. These studies collectively highlight alterations in TCA cycle metabolites, amino acids, nucleotide metabolism, and lipid profiles, among others. This review supports the identification of better treatment strategies choosing methotrexate, TNF, or IL-6 inhibitors as therapeutic interventions based on metabolomics profiling.

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来源期刊
Clinical Rheumatology
Clinical Rheumatology 医学-风湿病学
CiteScore
6.90
自引率
2.90%
发文量
441
审稿时长
3 months
期刊介绍: Clinical Rheumatology is an international English-language journal devoted to publishing original clinical investigation and research in the general field of rheumatology with accent on clinical aspects at postgraduate level. The journal succeeds Acta Rheumatologica Belgica, originally founded in 1945 as the official journal of the Belgian Rheumatology Society. Clinical Rheumatology aims to cover all modern trends in clinical and experimental research as well as the management and evaluation of diagnostic and treatment procedures connected with the inflammatory, immunologic, metabolic, genetic and degenerative soft and hard connective tissue diseases.
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