Ning Limeng, He Changjing, Lu Chunliu, Huang Wanzhong, Zeng Ting, Su Qiang
Department of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, No. 85 Hedi Road, Nanning, Guangxi, 530021, China.
Pediatric surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Youjiang Medical University for Nationalities, Baise, China.
Heliyon. 2024 Mar 23;10(7):e28154. doi: 10.1016/j.heliyon.2024.e28154. eCollection 2024 Apr 15.
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.
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.
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 < 0.001), lower levels of HDL cholesterol (β = -0.3293, 95% CI: 0.4474 to -0.2111, p < 0.001), higher levels of triglycerides (β = 0.1472, 95% CI: 0.0370 to 0.2574, p = 0.0088), waist circumference (β = 0.4416, 95% CI: 0.2949 to 0.5883, p < 0.001), and glycated haemoglobin (β = 0.1037, 95% CI: 0.0080 to 0.1995, p = 0.0377). However, we did not observe any significant association between BMR and fasting glucose, LDL cholesterol, total cholesterol, C-reactive protein, systolic blood pressure, diastolic blood pressure, or N-terminal prohormone brain natriuretic peptide (all p-values>0.05).
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.
心血管代谢危险因素在心血管疾病和代谢性疾病的发展中起着至关重要的作用。基础代谢率（BMR）是一个影响能量消耗的基本生理参数，可能导致这些危险因素的变化。然而，BMR与心血管代谢危险因素之间的确切关系仍不清楚。
我们采用孟德尔随机化（MR）分析来探讨BMR（样本量：534,045）与各种心血管代谢危险因素之间的关联，这些危险因素包括体重指数（BMI，样本量：681,275）、空腹血糖（样本量：200,622）、高密度脂蛋白（HDL）胆固醇（样本量 = 403,943）、低密度脂蛋白（LDL）胆固醇（样本量 = 431,167）、总胆固醇（样本量：344,278）、甘油三酯（样本量：441,016）、C反应蛋白（样本量：436,939）、腰围（样本量：232,101）、收缩压（样本量：810,865）、舒张压（样本量：810,865）、糖化血红蛋白（样本量：389,889）以及N末端脑钠肽前体（样本量：21,758）。我们利用与BMR密切相关的基因变异作为工具变量来研究潜在的因果关系，主要分析采用逆方差加权（IVW）方法。
我们的MR分析揭示了BMR与特定心血管代谢危险因素之间存在因果关系的有力证据。具体而言，基因决定的较高BMR与较高的BMI（β = 0.7538，95%置信区间[CI]：0.6418至0.8659，p < 0.001）、较低的HDL胆固醇水平（β = -0.3293，95% CI：0.4474至 -0.2111，p < 0.001）、较高的甘油三酯水平（β = 0.1472，95% CI：0.0370至0.2574，p = 0.0088）、腰围（β = 0.4416，95% CI：0.2949至0.5883，p < 0.001）以及糖化血红蛋白（β = 0.1037，95% CI：0.0080至0.1995，p = 0.0377）相关。然而，我们未观察到BMR与空腹血糖、LDL胆固醇、总胆固醇、C反应蛋白、收缩压、舒张压或N末端脑钠肽前体之间存在任何显著关联（所有p值>0.05）。
这项MR研究为BMR与心血管代谢危险因素之间的关系提供了有价值的见解。了解BMR与这些因素之间的因果关系可能对制定有针对性的干预措施和治疗方法具有重要意义。
