Alterations of Gut Microbiome, Metabolome, and Lipidome in Takayasu Arteritis

作者：Luyun Fan, Junru Chen, Lili Pan, Xiaohong Xin, Bin Geng, Lirui Yang, Qian Wang, Wenjun Ma, Ying Lou, Jin‐Song Bian, Xiao Cui, Jing Li, Lu Wang, Zhenzhen Chen, Wenjie Wang, Changting Cui, Shuangyue Li, Qiannan Gao, Qirui Song, Yue Deng, Jiali Fan, Jiachen Yu, Huimin Zhang, Yafeng Li, Jun Cai · 发表于：Arthritis & Rheumatology · 年份：2022 · DOI：10.1002/art.42331 · 被引用次数：31 · 研究领域：Gut microbiota and health、Metabolomics and Mass Spectrometry Studies、Traditional Chinese Medicine Studies

OBJECTIVE: Mounting evidence has linked microbiome and metabolome to systemic autoimmunity and cardiovascular diseases (CVDs). Takayasu arteritis (TAK) is a rare disease that shares features of immune-related inflammatory diseases and CVDs, about which there is relatively limited information. This study was undertaken to characterize gut microbial dysbiosis and its crosstalk with phenotypes in TAK. METHODS: To address the discriminatory signatures, we performed shotgun sequencing of fecal metagenome across a discovery cohort (n = 97) and an independent validation cohort (n = 75) including TAK patients, healthy controls, and controls with Behçet's disease (BD). Interrogation of untargeted metabolomics and lipidomics profiling of plasma and fecal samples were also used to refine features mediating associations between microorganisms and TAK phenotypes. RESULTS: A combined model of bacterial species, including unclassified Escherichia, Veillonella parvula, Streptococcus parasanguinis, Dorea formicigenerans, Bifidobacterium adolescentis, Lachnospiraceae bacterium 7 1 58FAA, Escherichia coli, Streptococcus salivarius, Klebsiella pneumoniae, Bifidobacterium longum, and Lachnospiraceae Bacterium 5 1 63FAA, distinguished TAK patients from controls with areas under the curve (AUCs) of 87.8%, 85.9%, 81.1%, and 71.1% in training, test, and validation sets including healthy or BD controls, respectively. Diagnostic species were directly or indirectly (via metabolites or lipids) correlated...