Specific enterotype of gut microbiota predicted clinical effect of methotrexate in patients with rheumatoid arthritis

医学 类风湿性关节炎 肠道菌群 免疫学 内科学 甲氨蝶呤 关节炎
作者
Jun Qiao,Sheng‐Xiao Zhang,M. J. Chang,Ting Cheng,Jiaqian Zhang,Rong Zhao,Shan Song,Guangying Liu,Jia-Song Chang,Xiaofeng Li
出处
期刊:Rheumatology [Oxford University Press]
卷期号:62 (3): 1087-1096 被引量:16
标识
DOI:10.1093/rheumatology/keac458
摘要

The most used drug for the treatment of rheumatoid arthritis (RA) remains methotrexate (MTX). Unfortunately, up to 50% of patients do not achieve a clinically adequate outcome. Here we study whether the gut microbiota patterns can aid in the prediction of MTX efficacy for RA.To dissect gut microbiome profiles of RA patients (n = 145), 16S rRNA gene sequencing was performed. Dirichlet multinomial mixture (DMM) clustering was used to identify enterotypes at genus level. The relationships between enterotypes and clinical measures (such as lymphocyte subsets and cytokines detected by flow cytometry) were explored. Then, enterotype stability was evaluated by the stratification of the RA patient cohort (n = 66) in Shanghai, China, using the same method. Finally, the enterotype-based gut microbial human index classifier was applied to another independent RA patient cohort (n = 27) to identify the factors associated with MTX clinical response.Our analysis revealed that the RA patients always displayed two different dysbiotic microbiota patterns: RA E1 comprised predominantly Prevotella and RA E2 comprised predominantly Bacteroides. Among all of the lymphocyte subsets and cytokines, only the number of CD8+ T cells showed a significant difference between RA E1 and RA E2. These results were validated in the RA patient cohort in Shanghai, China. Significant associations of RA E1 with clinical response to subsequent MTX treatment were confirmed by another independent RA patient cohort.Together, the enterotype-based gut microbial human index (EGMI) classifier was useful to precisely and effectively identify enterotypes of individual RA patients, which could effectively evaluate MTX clinical responses.
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