| Literature DB >> 26214836 |
Xuan Zhang1, Dongya Zhang2, Huijue Jia2, Qiang Feng3, Donghui Wang4, Di Liang1, Xiangni Wu1, Junhua Li5, Longqing Tang6, Yin Li6, Zhou Lan6, Bing Chen6, Yanli Li6, Huanzi Zhong6, Hailiang Xie6, Zhuye Jie6, Weineng Chen6, Shanmei Tang6, Xiaoqiang Xu7, Xiaokai Wang7, Xianghang Cai6, Sheng Liu7, Yan Xia7, Jiyang Li8, Xingye Qiao9, Jumana Yousuf Al-Aama10, Hua Chen1, Li Wang1, Qing-Jun Wu1, Fengchun Zhang1, Wenjie Zheng1, Yongzhe Li1, Mingrong Zhang6, Guangwen Luo6, Wenbin Xue6, Liang Xiao2, Jun Li6, Wanting Chen6, Xun Xu6, Ye Yin6, Huanming Yang6, Jian Wang6, Karsten Kristiansen4, Liang Liu11, Ting Li11, Qingchun Huang12, Yingrui Li6, Jun Wang13.
Abstract
We carried out metagenomic shotgun sequencing and a metagenome-wide association study (MGWAS) of fecal, dental and salivary samples from a cohort of individuals with rheumatoid arthritis (RA) and healthy controls. Concordance was observed between the gut and oral microbiomes, suggesting overlap in the abundance and function of species at different body sites. Dysbiosis was detected in the gut and oral microbiomes of RA patients, but it was partially resolved after RA treatment. Alterations in the gut, dental or saliva microbiome distinguished individuals with RA from healthy controls, were correlated with clinical measures and could be used to stratify individuals on the basis of their response to therapy. In particular, Haemophilus spp. were depleted in individuals with RA at all three sites and negatively correlated with levels of serum autoantibodies, whereas Lactobacillus salivarius was over-represented in individuals with RA at all three sites and was present in increased amounts in cases of very active RA. Functionally, the redox environment, transport and metabolism of iron, sulfur, zinc and arginine were altered in the microbiota of individuals with RA. Molecular mimicry of human antigens related to RA was also detectable. Our results establish specific alterations in the gut and oral microbiomes in individuals with RA and suggest potential ways of using microbiome composition for prognosis and diagnosis.Entities:
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Year: 2015 PMID: 26214836 DOI: 10.1038/nm.3914
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 53.440