Exploring the relationship between life course adiposity and sepsis: insights from a two-sample Mendelian randomization analysis

Zimei Cheng, Jingjing Li, Wenjia Tong, Tingyan Liu, Caiyan Zhang, Jian Ma, Guoping Lu
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Abstract

The relationship between adiposity and sepsis has received increasing attention. This study aims to explore the causal relationship between life course adiposity and the sepsis incidence.Mendelian randomization (MR) method was employed in this study. Instrumental variants were obtained from genome-wide association studies for life course adiposity, including birth weight, childhood body mass index (BMI), childhood obesity, adult BMI, waist circumference, visceral adiposity, and body fat percentage. A meta-analysis of genome-wide association studies for sepsis including 10,154 cases and 454,764 controls was used in this study. MR analyses were performed using inverse variance weighted, MR Egger regression, weighted median, weighted mode, and simple mode. Instrumental variables were identified as significant single nucleotide polymorphisms at the genome-wide significance level (P < 5×10-8). The sensitivity analysis was conducted to assess the reliability of the MR estimates.Analysis using the MR analysis of inverse variance weighted method revealed that genetic predisposition to increased childhood BMI (OR = 1.29, P = 0.003), childhood obesity (OR = 1.07, P = 0.034), adult BMI (OR = 1.38, P < 0.001), adult waist circumference (OR = 1.01, P = 0.028), and adult visceral adiposity (OR = 1.53, P < 0.001) predicted a higher risk of sepsis. Sensitivity analysis did not identify any bias in the MR results.The results demonstrated that adiposity in childhood and adults had causal effects on sepsis incidence. However, more well-designed studies are still needed to validate their association.
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探究生命过程中的肥胖与败血症之间的关系:双样本孟德尔随机分析的启示
肥胖与败血症之间的关系日益受到关注。本研究采用孟德尔随机法(Mendelian randomization,MR)。本研究采用了孟德尔随机化(Mendelian randomization,MR)方法,从全基因组关联研究中获得了生命过程中脂肪率的工具变异,包括出生体重、儿童期体重指数(BMI)、儿童期肥胖、成人期体重指数、腰围、内脏脂肪率和体脂肪率。本研究采用了一项脓毒症全基因组关联研究的荟萃分析,其中包括 10,154 例病例和 454,764 例对照。使用反方差加权、MR Egger 回归、加权中位数、加权模式和简单模式进行了 MR 分析。工具变量是指在全基因组显著性水平(P < 5×10-8)上具有重要意义的单核苷酸多态性。采用反方差加权法的 MR 分析显示,遗传易感性会导致儿童体重指数增加(OR = 1.29, P = 0.003)、儿童肥胖(OR = 1.07, P = 0.034)、成人体重指数(OR = 1.38, P < 0.001)、成人腰围(OR = 1.01, P = 0.028)和成人内脏脂肪率(OR = 1.53, P < 0.001)的遗传易感性预示着较高的败血症风险。结果表明,儿童和成人的肥胖对败血症发病率有因果关系。结果表明,儿童和成人的肥胖对败血症发病率有因果关系,但仍需要更多设计良好的研究来验证其关联性。
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