Microbiomes combined with metabolomics reveals the changes of microbial and metabolic profile of articular cavity effusion in rheumatoid arthritis, urarthritis and osteoarthritis patients
10.19405/j.cnki.issn1000-1492.2024.12.024
- Author:
Hanzhi Yi
1
;
Wukai Ma
2
,
3
;
Minhui Wang
1
;
Chunxia Huang
1
;
Guangzhao Gu
2
,
3
;
Dan Zhu
1
;
Hufan Li
1
;
Can Liu
2
,
3
;
Fang Tang
2
,
3
;
Xueming Yao
2
,
3
;
Liping Sun
2
,
3
;
Nan Wang
2
,
3
;
Changming Chen
2
,
3
Author Information
1. The Second Clinical Medical College of Guizhou University of Chinese Medicine , Guiyang 550002
2. The Second Clinical Medical College of Guizhou University of Chinese Medicine , Guiyang 550002
3. Dept of Rheumatology and Immunology , The Second Afiliated Hospital of Guizhou University of Chinese Medicine , Guiyang 550001
- Publication Type:Journal Article
- Keywords:
rheumatoid arthritis;
osteoarthritis;
urarthritis;
joint cavity effusion;
microorganism;
metabolomics
- From:
Acta Universitatis Medicinalis Anhui
2024;59(12):2237-2245
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the changes of microorganisms and metabolites in joint effusion of patients with Rheumatoid arthritis(RA), Osteoarthritis(OA) and Urarthritis(UA). To provide new ideas for the study of the effect of microbiota on the pathogenesis of arthritis.
Methods:Joint effusion samples were collected from 20 patients with RA, 20 patients with OA, and 20 patients with UA. 16S rRNA gene sequencing and untargeted ultra-high performance Liquid chromatography-mass spectrometry(LC-MS) were used to explore the differences in microorganisms and metabolites among the three groups. Pearson correlation analysis was used to detect the correlation between effusion microbiota and metabolites.
Results:There were differences in microbial diversity and microbiota composition among the three groups. Combined with VIP>1 from OPLS-DA andP<0.05 from two-tailed Students t-test, 45 differential metabolites(Between RA and OA groups), 38 differential metabolites(Between UA and OA groups) and 16 differential metabolites(Between RA and UA groups), were identified. GO analysis and KEGG pathway analysis showed that the differential metabolic pathways among the three groups were mainly concentrated in citric acid cycle(TCA cycle), nucleotide metabolism, amino acid metabolism and glycolysis pathway. Correlation analysis of joint effusion microbiota and metabolites suggested that bacteria enriched in the three groups of joint effusion, such asPrevotella,Clostridium ruminosus,Prevotellaceae＿UCG-001, were related to many key metabolites such as lysozyme, uric acid, glucose, and L-glutamine.
Conclusion:This study shows that there are a variety of bacterial flora in joint cavity effusion of RA, OA, and UA patients, and the differential metabolites produced by them are involved in the pathogenesis of the three types of arthritis by affecting a variety of metabolic pathways.
- Full text:2025030315243992822微生物组学联合代谢组学揭示...腔积液微生物和代谢谱的变化_易寒知.pdf
