The relationship between gut microbiota characteristics and peripheral blood lymphocytes in patients with primary Sj?gren′s syndrome
10.3760/cma.j.cn141217-20220605-00241
- VernacularTitle:原发性干燥综合征患者肠道菌群特征与外周血淋巴细胞的关系
- Author:
Shan SONG
1
;
Rong ZHAO
;
Jun QIAO
;
Shengxiao ZHANG
;
Ting CHENG
;
Xiaofeng LI
Author Information
1. 山西医科大学第二医院风湿免疫科，太原 030001
- Keywords:
Sjogren′s syndrome;
Lymphocyte subsets;
Gut microbiota
- From:
Chinese Journal of Rheumatology
2023;27(10):659-665
- CountryChina
- Language:Chinese
-
Abstract:
Objective:By detecting the species and distribution of fecal flora in patients with pSS, we investigated the relationship between the alterations of the gut microbiome and its metabolic characteristics with peripheral lymphocyte subsets, and their potential role in the occurrence and development of pSS.Methods:A total of 101 pSS patients who were hospitalized in the department of rheumatology of the Second Hospital of Shanxi Medical University, and 101 age and sex-matched healthy control (HC) in the health check-up center of Shanxi Provincial People′s Hospital from January 2019 to January 2020 were enrolled for 16s rDNA-Amplicon sequencing. The statistical analysis was performed in R software 4.0.3. The Alpha diversity were compared by Wilcoxon test, and Beta diversity were compared by ANOSIM analysis between pSS patients and HC. The difference flora was analyzed by t test. The levels of peripheral lymphocyte subsets pSS patients were detected by flow cytometry. Then the relationship between characteristic flora and clinical indicators such as lymphocyte subsets, erythrocyte sedimentation rate, C-reactive protein, unstimulated whole saliva and stimulated whole saliva were analyzed using Pearson′s correlation analysis. Results:Patients with pSS exhibited a significant reduction in the richness (Chao1, ACE) and diversity (Shannon,Simpson) of gut microbiota compared with those of HC, and there was statistical significant difference in gut microbiota composition (ANOSIM, r=0.09, P=0.001). At the phylum level, the relative abundance of Firmicutes decreased and the relative abundance of Proteobacteria increased in pSS patients. At the genus level, the proportion of Escherichia-shigella ( P<0.001), Lactobacillus ( P<0.001), Bifidobacterium ( P<0.001), Subdoligranulum ( P<0.001), Alistipes ( P<0.001) and [ Eubacterium]_ coprostanoligenes (P=0.002) were increased. The proportion of Faecalibacterium ( P<0.001), Prevotella ( P<0.001), Roseburia ( P<0.001), Megamonas ( P<0.001), Agathobacter ( P<0.001), Lachnospira ( P<0.001), Lachnospira_NK4A136 ( P=0.006), [ Eubacterium] _eligens ( P<0.001) were significantly reduced. PICRUST analysis showed significant enrichment of amino acid metabolism taurine and hypotaurine metabolism ( P<0.001), fatty acid metabolism such as propanoate metabolism ( P<0.001), glutathione metabolism ( P=0.002), lipoic acid metabolism ( P=0.003), lipopolysaccharide biosynthesis and biosynthesis of siderophore group nonribosomal peptides ( P=0.005) and Aminobenzoate degradation ( P=0.002) in patients with pSS. The Pearson correlation results showed that there were significant different in the abundances of the key gut microbiota between the HC and pSS groups, and they were closely related to unstimulated whole saliva, the absolute number of Treg cells and Th17 cells. Conclusion:The dysbiosis and metabolism changes of the pSS intestinal microbiota may contribute to immune homeostasis imbalance, and may be involved in the occurrence and development of pSS.
