Inflammatory cytokines, metabolites, and rheumatoid arthritis

被引:0
|
作者
Zhou, Peilin [1 ,2 ]
Wang, Wenqiang [1 ]
Liu, Yongzhen [1 ]
Chen, Xiang [1 ]
Mo, Yongjun [1 ,3 ]
Su, Hongjie [1 ,2 ]
Nie, Xinyu [4 ]
Hua, Qikai [1 ,2 ]
机构
[1] Guangxi Med Univ, Affiliated Hosp 1, Dept Bone & Joint Surg, Guangxi Diabetic Foot Salvage Engn Res Ctr,Res Ctr, 6 Shuangyong Rd, Nanning 530021, Guangxi, Peoples R China
[2] Guangxi Med Univ, Collaborat Innovat Ctr Regenerat Med & Med BioReso, 22 Shuangyong Rd, Nanning 530021, Guangxi, Peoples R China
[3] Guigang Peoples Hosp, Dept Orthoped, 1 Zhongshan Middle Rd, Guigang 537110, Guangxi, Peoples R China
[4] Univ Sci & Technol China, Affiliated Hosp USTC 1, Dept Orthoped, Div Life Sci & Med, 17 Lujiang Rd, Hefei 230002, Peoples R China
基金
中国国家自然科学基金;
关键词
rheumatoid arthritis; mendelian randomization; inflammatory cytokines; metabolites; TNF-beta; IL-1; alpha; biomarkers; therapeutic targets; MENDELIAN RANDOMIZATION; DISEASES; RISK;
D O I
10.1093/postmj/qgae146
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint destruction. Although the roles of inflammatory cytokines and metabolites in RA pathogenesis have caught a lot of attention, there is a lack of systematic studies, and their causal relationships remain unclear. Methods: We conducted a two-step mendelian randomization analysis utilizing genetic data from genome-wide association studies (GWAS) of inflammatory cytokines, metabolites, and RA. The first step assessed the causal effect of 91 inflammatory cytokines and 1400 metabolites on RA risk using inverse variance weighted method, complemented by MR-Egger, weighted median, simple mode and MR-PRESSO to ensure robustness and assess pleiotropy. The second step evaluated the mediation effects of selected metabolites on the relationship between cytokines and RA. Results: The analysis identified 9 inflammatory cytokines, including IL-1 alpha and IL-10, which significantly increase RA risk, while TNF-beta exhibited a protective effect. Additionally, 6 metabolites were associated with increased RA risk, including 1-(1-enyl-palmitoyl)-2-arachidonoyl-GPE and arachidonate (20:4n6). Conversely, 5 metabolites, such as docosatrienoate (22:3n3) and Cholesterol, were found to reduce RA risk. The mediation analysis revealed that TNF-beta may exerts its protective effect through its influence on specific metabolites, and X-24949, which accounted for a -2.58% mediated effect in the TNF-beta-RA causal pathway. Conclusion: This study explores the complex interplay between inflammatory cytokines, metabolites, and RA. The findings suggest potential biomarkers for early diagnosis and novel therapeutic targets, particularly those related to lipid metabolites and specific cytokines like TNF-beta.
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页数:8
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