■肥胖与败血症之间的关系越来越受到关注。本研究旨在探讨生命过程肥胖与脓毒症发病率之间的因果关系。
■本研究采用孟德尔随机化(MR)方法。仪器变体是从全基因组关联研究中获得的,用于生命周期肥胖,包括出生体重,儿童体重指数(BMI),儿童肥胖,成人BMI,腰围,内脏肥胖,和身体脂肪百分比。本研究使用了包括10,154例和454,764例对照在内的脓毒症全基因组关联研究的荟萃分析。MR分析使用逆方差加权,MREgger回归,加权中位数,加权模式,和简单的模式。仪器变量在全基因组显著性水平上被鉴定为显著的单核苷酸多态性(P<5×10-8)。进行敏感性分析以评估MR估计的可靠性。
■使用逆方差加权方法的MR分析显示,儿童BMI增加的遗传易感性(OR=1.29,P=0.003),儿童肥胖(OR=1.07,P=0.034),成人BMI(OR=1.38,P<0.001),成人腰围(OR=1.01,P=0.028),成人内脏肥胖(OR=1.53,P<0.001)预测脓毒症的风险较高。敏感性分析未发现MR结果有任何偏倚。
■结果表明,儿童和成人的肥胖对败血症的发病率有因果关系。然而,仍需要更多精心设计的研究来验证它们之间的关联.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.