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脂质特征及降脂药物靶基因与脓毒症的遗传关联

Genetic association of lipids characteristics and lipid lowering drug target genes with sepsis.

作者信息

Wang Yu, Zhang Haiyue, Zhan Yuanyuan, Li Zhuoran, Li Sujing, Zhang Yingchao, Guo Shubin

机构信息

Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, P.R. China.

Thrombosis Research Center, Beijing Jishuitan Hospital, Capital Medical University, Xicheng District, Beijing, China.

出版信息

PLoS One. 2025 Sep 11;20(9):e0331023. doi: 10.1371/journal.pone.0331023. eCollection 2025.

Abstract

BACKGROUND

Sepsis is a severe systemic infection that can result in organ dysfunction and mortality. Dyslipidemia emerges as a key player in the intricate web of sepsis pathogenesis. Yet, the causal relationship between blood lipid profiles and sepsis risk remains uncertain. This study aims to investigate the association between genetically predicted lipid traits, drug targets, and sepsis.

METHODS

The UK Biobank's Genome-wide association studies (GWAS) produced data on lipid and apolipoprotein characteristics. Four independent GWAS datasets were used to generate the sepsis statistics. The study utilized the two-sample Mendelian randomization (MR) approach, which incorporates multivariable (MVMR) models, to assess the correlations between sepsis risk and lipid-related parameters. To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering.

RESULTS

Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861-0.999; p = 0.047). This inverse correlation persevered even after performing multivariable MR. Elevated levels of HDL-C were associated with a decreased risk of sepsis (under 75) (OR 0.897, 95% CI 0.838-0.960; P = 0.002) and incidence of sepsis (OR 0.883, 95% CI 0.820-0.951; P = 0.001), which was consistent across sensitivity analyses. Furthermore, a decrease in total cholesterol exhibited a causal effect on sepsis in multivariable MR (OR 0.779, 95% CI 0.642-0.944; P = 0.01). The genetic variants related to lowering LDL-C, located near the HMGCR and LDLR genes, were predicted to elevate the risk of sepsis. Moreover, genetic mimicry near the ANGPTL3 and LPL gene suggested that reducing the activity of ANGPTL3 and LPL (mimicking antisense anti-ANGPTL3 and LPL agents) was forecasted to decrease sepsis risk.

CONCLUSION

Genetically inferred elevated ApoA-1, total cholesterol, and HDL-C manifest a protective effect against sepsis. Within the 9 lipid-lowering drug targets investigated ANGPTL3 and LPL exhibit potential as candidate drug targets for sepsis.

摘要

背景

脓毒症是一种严重的全身感染,可导致器官功能障碍和死亡。血脂异常在脓毒症发病机制的复杂网络中成为关键因素。然而,血脂谱与脓毒症风险之间的因果关系仍不确定。本研究旨在调查基因预测的脂质特征、药物靶点与脓毒症之间的关联。

方法

英国生物银行的全基因组关联研究(GWAS)产生了关于脂质和载脂蛋白特征的数据。使用四个独立的GWAS数据集生成脓毒症统计数据。该研究采用双样本孟德尔随机化(MR)方法,纳入多变量(MVMR)模型,以评估脓毒症风险与脂质相关参数之间的相关性。为了进一步深入了解,使用表达定量性状位点(eQTL)数据来研究降血脂的重要药物靶点。

结果

载脂蛋白A-1(ApoA-1)水平升高与脓毒症(75岁以下)风险降低相关(OR=0.927,95%CI:0.861-0.999;P=0.047)。即使进行多变量MR后,这种负相关仍然存在。高密度脂蛋白胆固醇(HDL-C)水平升高与脓毒症(75岁以下)风险降低相关(OR=0.897,95%CI:0.838-0.960;P=0.002)以及脓毒症发病率降低相关(OR=0.883,95%CI:0.820-0.951;P=0.001),在敏感性分析中结果一致。此外,总胆固醇降低在多变量MR中对脓毒症有因果效应(OR=0.779,95%CI:0.642-0.944;P=0.01)。位于3-羟基-3-甲基戊二酰辅酶A还原酶(HMGCR)和低密度脂蛋白受体(LDLR)基因附近与降低低密度脂蛋白胆固醇(LDL-C)相关的基因变异预计会增加脓毒症风险。此外,血管生成素样蛋白3(ANGPTL3)和脂蛋白脂肪酶(LPL)基因附近的基因模拟表明,降低ANGPTL3和LPL的活性(模拟反义抗ANGPTL3和LPL药物)预计会降低脓毒症风险。

结论

基因推断的ApoA-1、总胆固醇和HDL-C升高对脓毒症具有保护作用。在所研究的9个降血脂药物靶点中,ANGPTL3和LPL作为脓毒症的候选药物靶点具有潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8f4/12425328/42c33c7a0999/pone.0331023.g001.jpg

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