Yu Fengliang, Bi Haixiang, Qian Haonan, Li Shunji
Department of Physical Education, Sejong University, Gwangjin-gu, Seoul, Republic of Korea.
Department of Physical Education, Hanyang University, Seoul, Republic of Korea.
Front Physiol. 2024 Aug 27;15:1378329. doi: 10.3389/fphys.2024.1378329. eCollection 2024.
This study examines the causal effects of varying exercise intensities on type 2 diabetes mellitus (T2D) through Mendelian randomization (MR) analysis, using genetic variants as instrumental variables.
A two-sample MR analysis was performed, employing Inverse Variance Weighted (IVW) as the primary method, supported by weighted median, MR-Egger regression, MR-PRESSO, and MR robustness-adjusted contour scores. Data were obtained from the International Exercise Genetics Database (IEGD) and the Global Diabetes Research Consortium (GRC), encompassing over 150,000 individuals for exercise intensity and around 200,000 T2D patients and controls. SNPs linked to exercise intensity were selected based on genome-wide significance ( < 5 × 10^-8) and linkage disequilibrium criteria (distance >10,000 kb, r^2 < 0.001).
The IVW analysis suggested that high-intensity exercise might reduce T2D risk, but the association was not statistically significant (OR = 0.667, 95% CI = 0.104-4.255, = 0.667). The wide confidence interval indicates uncertainty in the effect estimate. Low-intensity exercise showed no significant effect on T2D risk (OR ∼ 1.0). Sensitivity analyses, including weighted median and MR-Egger regression, confirmed no significant association between high-intensity exercise and T2D risk. The MR-PRESSO analysis found no significant outliers, and the global test for pleiotropy was non-significant ( = 0.455). Cochran's Q test for heterogeneity in the IVW analysis was non-significant (Q = 12.45, = 0.234), indicating consistency among SNP-derived estimates.
High-intensity exercise potentially reduces T2D risk, but the association is not statistically significant. Further research is needed to understand the complex relationship between exercise intensity and T2D.
本研究通过孟德尔随机化(MR)分析,以基因变异作为工具变量,探讨不同运动强度对2型糖尿病(T2D)的因果效应。
进行两样本MR分析,采用逆方差加权(IVW)作为主要方法,并辅以加权中位数、MR-Egger回归、MR-PRESSO和MR稳健性调整轮廓得分。数据来自国际运动遗传学数据库(IEGD)和全球糖尿病研究联盟(GRC),涵盖超过150,000名运动强度个体以及约200,000名T2D患者和对照。基于全基因组显著性(<5×10^-8)和连锁不平衡标准(距离>10,000 kb,r^2<0.001)选择与运动强度相关的单核苷酸多态性(SNP)。
IVW分析表明,高强度运动可能降低T2D风险,但该关联无统计学意义(比值比[OR]=0.667,95%置信区间[CI]=0.104 - 4.255,P=0.667)。较宽的置信区间表明效应估计存在不确定性。低强度运动对T2D风险无显著影响(OR≈1.0)。敏感性分析,包括加权中位数和MR-Egger回归,证实高强度运动与T2D风险之间无显著关联。MR-PRESSO分析未发现显著异常值,多效性全局检验无统计学意义(P=0.455)。IVW分析中Cochran's Q检验的异质性无统计学意义(Q=12.45,P=0.234),表明SNP衍生估计值之间具有一致性。
高强度运动可能降低T2D风险,但该关联无统计学意义。需要进一步研究以了解运动强度与T2D之间的复杂关系。