Effect of basal metabolic rate on rheumatoid arthritis: a Mendelian randomization study

Author:

Zhang Qin12,Liu Ang12,Huang Cheng3,Xiong ZhenCheng4565,Cheng Qi1,Zhang Jun7,Lin Jun12,Yang Huilin1

Affiliation:

1. Department of Orthopaedics, First Affiliated Hospital of Soochow University, Soochow University , Suzhou, Jiangsu 215006 , P.R. China

2. Department of Orthopaedics, Suzhou Dushu Lake Hospital, Dushu Lake Hospital Affiliated to Soochow University, Medical Centre of Soochow University , Suzhou, 215001, Jiangsu , China

3. Department of Orthopaedics, China-Japan Friendship Hospital , Beijing 100029 , P.R. China

4. Department of Orthopedic Surgery , West China Medical School, , Chengdu, Sichuan 610041 , P.R. China

5. Sichuan University, West China Hospital , West China Medical School, , Chengdu, Sichuan 610041 , P.R. China

6. Department of Trauma Center , West China Medical School, , Chengdu, Sichuan 610041 , P.R. China

7. Suzhou Institute of Trade & Commerce , Suzhou, Jiangsu 215006 , P.R. China

Abstract

Abstract Purpose Basal metabolic rate (BMR) as one of the most basic and significant indicators of metabolism has been associated with human health. Previous studies showed that the development of rheumatoid arthritis (RA) is linked to BMR; however, the causal relationship between BMR and RA is unknown. Thus, we aimed to explore the causal relationship between BMR and RA as well as RA-related factors. Methods Mendelian randomization (MR) analysis was performed on collected genome-wide association studies information. The effect of horizontal pleiotropy was detected by MR-PRESSO and MR-Radial. Five MR analysis methods were applied, including inverse variance weighted, MR-Egger, weighted median, weighted mode, and simple mode. Four sensitivity analysis methods were used for the validation of the significant MR analysis results. A two-component mixture of regressions method was additionally used to validate single nucleotide polymorphisms and to verify results. Results Genetically, there is a causal effect of BMR on overall RA (odds ratio = 1.25, 95% confidence interval: 1.07–1.47, PIVW = .006), seropositive RA (odds ratio = 1.20, 95% confidence interval: 1.01–1.44, PIVW = .035), and seronegative RA (odds ratio = 1.36, 95% confidence interval: 1.04–1.78, PIVW = .023). Sensitivity analyses validated the robustness of the above associations. No evidence supported the effect of RA on BMR. Moreover, BMR showed no causal relationship with rheumatoid factor, C-reactive protein, erythrocyte sedimentation rate, interleukin-1β, tumor necrosis factor-α, and matrix metallopeptidase 3. Conclusion MR results implied the causal effect of BMR on RA and raised our attention to the importance of BMR in RA’s pathology.

Funder

National Natural Science Foundation of China

Gusu Health Talents Program

Natural Science Foundation of Jiangsu Province

Suzhou Science and Technology Development Plan

National High-Level Hospital Clinical Research Funding

Elite Medical Professionals Project of China-Japan Friendship Hospital

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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