Association between basal metabolic rate and cardio-metabolic risk factors: Evidence from a Mendelian Randomization study
Limeng Ning,
Changjing He,
Chunliu Lu,
Wanzhong Huang,
Ting Zeng,
Qiang Su
Affiliations
Limeng Ning
Department of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, No. 85 Hedi Road, Nanning, Guangxi, 530021, China
Changjing He
Pediatric surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Youjiang Medical University for Nationalities, Baise, China; Health Management Service Center, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, No.85 Hedi Road, Nanning, Guangxi, 530021, China; Guangxi Clinical Medical Research Center for Hepatobiliary Diseases, China; Guangxi Zhuang Autonomous Region Engineering Research Center for Biomaterials in Bone and Joint Degenerative Diseases, China; Guangxi Key Laboratory for Preclinica1 and Translational Research on Bone and Joint Degenerative Diseases, China; Guangxi Key Laboratory of Molecular Pathology in Hepatobiliary Diseases, China; Guangxi Key Laboratory of Clinical Cohort Research on Bone and Joint Degenerative Disease, China; Guangxi Key Laboratory of Medical Research Basic Guarantee for Immune-Related Disease Research, China; Guangxi Key Laboratory for Biomedical Material Research, China; Key Laboratory of Research on Prevention and Control of High Incidence Diseases in Western Guangxi, China; Key Laboratory of Molecular Pathology in Tumors of Guangxi, China; Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, China; Baise Key Laboratory of Mo1ecular Pathology in Tumors, China; Baise Key Laboratory for Metabolic Diseases, China; Baise Key Laboratory for Research and Deve1opment on Clinical Mo1ecular Diagnosis for High-Incidence Diseases, China; Key Laboratory of the Bone and Joint Degenerative Diseases, China; Laboratory of the Atherosclerosis and Ischemic Cardiovascular Diseases, China; Life Science and C1inical Medicine Research Center, China; Key Laboratory of Clinical Diagnosis and Treatment Research of High Incidence Diseases in Guangxi, China
Chunliu Lu
Health Management Service Center, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, No.85 Hedi Road, Nanning, Guangxi, 530021, China
Wanzhong Huang
Department of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, No. 85 Hedi Road, Nanning, Guangxi, 530021, China
Ting Zeng
Health Management Service Center, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, No. 85 Hedi Road, Nanning, Guangxi, 530021, China; Corresponding author.
Qiang Su
Department of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, No. 85 Hedi Road, Nanning, Guangxi, 530021, China; Corresponding author.
Background: Cardio-metabolic risk factors play a crucial role in the development of cardiovascular and metabolic diseases. Basal metabolic rate (BMR) is a fundamental physiological parameter that affects energy expenditure and might contribute to variations in these risk factors. However, the exact relationship between BMR and cardio-metabolic risk factors has remained unclear. Methods: We employed Mendelian Randomization (MR) analysis to explore the association between BMR (N: 534,045) and various cardio-metabolic risk factors, including body mass index (BMI, N: 681,275), fasting glucose (N: 200,622), high-density lipoprotein (HDL) cholesterol (N = 403,943), low-density lipoprotein (LDL) cholesterol (N = 431,167), total cholesterol (N: 344,278), and triglycerides (N: 441,016), C-reactive protein (N: 436,939), waist circumference (N: 232,101), systolic blood pressure (N: 810,865), diastolic blood pressure (N: 810,865), glycated haemoglobin (N: 389,889), and N-terminal prohormone brain natriuretic peptide (N: 21,758). We leveraged genetic variants strongly associated with BMR as instrumental variables to investigate potential causal relationships, with the primary analysis using the Inverse Variance Weighted (IVW) method. Results: Our MR analysis revealed compelling evidence of a causal link between BMR and specific cardio-metabolic risk factors. Specifically, genetically determined higher BMR was associated with an increased BMI (β = 0.7538, 95% confidence interval [CI]: 0.6418 to 0.8659, p 0.05). Conclusion: This MR study provides valuable insights into the relationship between BMR and cardio-metabolic risk factors. Understanding the causal links between BMR and these factors could have important implications for the development of targeted interventions and therapies.