4.4 Article

Comparative assessment of gut microbial composition and function in patients with Graves' disease and Graves' orbitopathy

Journal

JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION
Volume 44, Issue 2, Pages 297-310

Publisher

SPRINGER
DOI: 10.1007/s40618-020-01298-2

Keywords

Graves' disease; Graves' orbitopathy; Gut microbiota; 16S rRNA gene; Metabolic functions

Funding

  1. Beijing Municipal Hospital Research and Development Program [PX2016063]
  2. Expert Promotion Program of Beijing Health Systems [2015-3-017]
  3. Foundation of Beijing Tongren Hospital [2015-YJJ-ZZL-006]

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This study identified specific differences in intestinal bacteria between Graves' disease patients and Graves' orbitopathy patients, providing new insights into the role of gut bacteria in the development of Graves' orbitopathy. The intestinal microbial communities in Graves' disease patients showed distinct characteristics at the genus level, with potential implications for the pathogenesis of Graves' orbitopathy.
Background A previous study indicated that gut microbiota changed notably in Graves' orbitopathy (GO) patients as compared to controls. However, the characteristics of intestinal bacteria in Graves' disease (GD) and GO are unclear. Objective The present study aimed to identify specific intestinal bacteria of GD and GO, respectively. Methods The gut microbial communities of the fecal samples of 30 GD patients without GO, 33 GO subjects, and 32 healthy subjects were analyzed and compared by 16S rRNA gene sequencing. Results At the phylum level, the proportion of Deinococcus-Thermus and Chloroflexi was decreased significantly in GO patients as compared to GD. At the genus level, the proportion of Subdoligranulum and Bilophila was increased while that of Blautia, Anaerostipes, Dorea, Butyricicoccus, Romboutsia, Fusicatenibacter, unidentified_ Lachnospiraceae, unidentified_Clostridiales, Collineslla, Intestinibacter, and Phascolarctobacterium was decreased in the GO group as compared to the GD group. Random forest analysis was used for the identification of specific intestinal microbiota, and Deinococcus-Thermus, Cyanobacteria and Chloroflexi were ranked in the top ten according to their contributions to sample classification. Moreover, compared to the control, there were multiple gut bacterial enrichment metabolic pathways in GO and GD patients, including nucleotide metabolism, enzyme family, and energy metabolism. Compared to GO, the only enrichment metabolic pathway found in GD was the viral protein family. Conclusions This study highlighted the significant differences in the intestinal microbiota and predictive functions of GD with GO, thereby providing new insights into the role of the gut bacteria that might contribute to the development of GO in GD patients.

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