Huang Mingsheng, Liu Yiheng, Chen Cheng, Dai Weiran
Department of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Front Nutr. 2024 Aug 14;11:1433570. doi: 10.3389/fnut.2024.1433570. eCollection 2024.
Previous observational studies have reported certain causal relationships between factors such as smoking, alcohol consumption, obesity, physical activity, metabolic disorders, and the incidence of herpes zoster (HZ). However, there is controversy regarding the observed results across different studies. Our objective was to investigate the causal effects of these risk factors on the risk of herpes zoster through a Mendelian randomization analysis using two-sample bidirectional approaches.
We conducted two-sample bidirectional Mendelian randomization analyses to explore the causal relationships between different lifestyles, obesity assessment indices, metabolic indicators, and the risk of herpes zoster. All exposure and outcome data were sourced from publicly available data from genome-wide association studies.
In the inverse-variance weighted (IVW) analysis, body mass index (BMI) (OR: 1.160, 95% CI: 1.030-1.307, = 0.014), Body fat percentage (BFP) (OR: 1.241, 95% CI: 1.050-1.467, = 0.011), and whole body fat mass (WBFM) (OR: 1.199, 95% CI: 1.057-1.362, = 0.005) exhibited positive associations with the risk of HZ. However, usual walking pace (UWP) (OR: 0.498, 95% CI: 0.254-0.976, = 0.042) demonstrated a significant negative correlation with HZ risk. Other factors including alcohol intake frequency, smoking initiation, smoking status, insomnia, and sleep duration did not show significant causal relationships with HZ.
Mendelian randomization studies revealed that BMI, BFP, and WBFM are risk factors for HZ. UWP showed a protective effect against HZ. These findings provide a straightforward method for evaluating future clinical practices aiming to develop personalized management strategies and assess high-risk populations for HZ.
以往的观察性研究报告了吸烟、饮酒、肥胖、身体活动、代谢紊乱等因素与带状疱疹(HZ)发病率之间的某些因果关系。然而,不同研究的观察结果存在争议。我们的目的是通过使用两样本双向方法的孟德尔随机化分析,研究这些风险因素对带状疱疹风险的因果效应。
我们进行了两样本双向孟德尔随机化分析,以探讨不同生活方式、肥胖评估指标、代谢指标与带状疱疹风险之间的因果关系。所有暴露和结局数据均来自全基因组关联研究的公开可用数据。
在逆方差加权(IVW)分析中,体重指数(BMI)(比值比:1.160,95%置信区间:1.030 - 1.307,P = 0.014)、体脂百分比(BFP)(比值比:1.241,95%置信区间:1.050 - 1.467,P = 0.011)和全身脂肪量(WBFM)(比值比:1.199,95%置信区间:1.057 - 1.362,P = 0.005)与HZ风险呈正相关。然而,通常步行速度(UWP)(比值比:0.498,95%置信区间:0.254 - 0.976,P = 0.042)与HZ风险呈显著负相关。其他因素,包括饮酒频率、吸烟起始、吸烟状态、失眠和睡眠时间,与HZ没有显著的因果关系。
孟德尔随机化研究表明,BMI、BFP和WBFM是HZ的风险因素。UWP对HZ有保护作用。这些发现为评估未来旨在制定个性化管理策略和评估HZ高危人群的临床实践提供了一种直接方法。