INFLAMMATORY PROTEIN SIGNATURES OF SEPSIS RISK AND MORTALITY: A MENDELIAN RANDOMIZATION STUDY.

IF 2.9 3区 医学 Q2 CRITICAL CARE MEDICINE
SHOCK Pub Date : 2025-08-01 Epub Date: 2025-04-04 DOI:10.1097/SHK.0000000000002599
Han Ma, Weiqin Wang, Baojie Tang, Huali Zhang, Chuyi Tan, Yiying Yang
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引用次数: 0

Abstract

Abstract: Objective: Sepsis represents a leading cause of global mortality, defined by a dysregulated inflammatory response. This study aims to investigate the potential causal associations between circulating inflammatory proteins and sepsis risk using a two-sample Mendelian randomization (MR) approach. Methods: Publicly available summary statistics from genomewide association studies (GWAS) were used in this study. Genetic instruments for circulating inflammatory protein were derived from a GWAS meta-analysis of 11 cohorts encompassing 14,824 European participants. The relationship between genetically predicted protein levels and sepsis-related outcomes was evaluated using aggregated data from the UK Biobank-a multicenter prospective cohort study comprising over 500,000 European participants. Analyses were stratified by age, 28-day mortality, and ICU admission. Multiple MR methods, including inverse-variance weighted (IVW), MR-Egger, and weighted median, were applied to ensure the robustness of our findings. Results: The MR analysis identified significant causal associations between inflammatory proteins and sepsis outcomes. Genetically predicted elevated levels of β-NGF are associated with a reduced risk of sepsis (odds ratio [OR] 0.77, 95% confidence interval [CI] = 0.60-0.99; P = 0.039). Among sepsis patients aged below 75 years, the risk was reduced by 30% (OR, 0.70; 95% CI = 0.52-0.93; P = 0.013). Genetically predicted increases in TRAIL (OR, 1.11; 95% CI = 1.02-1.20; P = 0.020) and VEGF-A (OR, 1.18; 95% CI = 1.02-1.37; P = 0.031) were positively associated with sepsis incidence, while genetically predicted levels of CST5 (OR, 0.81; 95% CI = 0.69-0.94; P = 0.006) and MCP-1 (OR, 0.64; 95% CI = 0.45-0.92; P = 0.015) were inversely associated with sepsis-induced mortality. Conclusion: This study provides evidence from a Mendelian randomization framework supporting the causal role for specific circulating inflammatory proteins (e.g., β-NGF, VEGF-A, and TRAIL) in influencing sepsis risk and mortality. These findings underscore the potential for therapeutic interventions targeting these proteins to mitigate sepsis risk and improve patient outcomes, along with further investigation into the underlying mechanisms and clinical implications.

脓毒症风险和死亡率的炎症蛋白特征:一项孟德尔随机研究。
目的:脓毒症是全球死亡的主要原因,由炎症反应失调定义。本研究旨在通过双样本孟德尔随机化(MR)方法探讨循环炎症蛋白与脓毒症风险之间的潜在因果关系。方法:本研究采用全基因组关联研究(GWAS)中公开的汇总统计数据。循环炎症蛋白的遗传仪器来自GWAS荟萃分析,涉及11个队列,包括14,824名欧洲参与者。基因预测蛋白水平与败血症相关结果之间的关系使用来自英国生物银行的汇总数据进行评估,这是一项包括超过500,000名欧洲参与者的多中心前瞻性队列研究。分析按年龄、28天死亡率和ICU入院情况进行分层。采用多种MR方法,包括反方差加权(IVW)、MR- egger和加权中位数,以确保我们发现的稳健性。结果:磁共振分析发现炎症蛋白与败血症结局之间存在显著的因果关系。基因预测β-NGF水平升高和脓毒症风险降低(优势比[OR] 0.77, 95%可信区间[CI] = 0.60-0.99, P = 0.039)。在75岁以下的脓毒症患者中,风险降低30% (OR 0.70, 95% CI = 0.52-0.93, P = 0.013)。遗传预测的TRAIL (OR 1.11, 95%CI = 1.02-1.20, P = 0.020)和VEGF-A (OR 1.18, 95%CI = 1.02-1.37, P = 0.031)的升高与脓毒症的发生率呈正相关,而遗传预测的CST5 (OR 0.81, 95%CI = 0.69-0.94, P = 0.006)和MCP-1 (OR 0.64, 95%CI = 0.45-0.92, P = 0.015)的水平与脓毒症引起的死亡率呈负相关。结论:本研究提供了孟德尔随机化框架的证据,支持特定循环炎症蛋白(如β-NGF、VEGF-A和TRAIL)在影响败血症风险和死亡率中的因果作用。这些发现强调了针对这些蛋白质的治疗干预的潜力,以减轻败血症的风险并改善患者的预后,以及对潜在机制和临床意义的进一步研究。
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来源期刊
SHOCK
SHOCK 医学-外科
CiteScore
6.20
自引率
3.20%
发文量
199
审稿时长
1 months
期刊介绍: SHOCK®: Injury, Inflammation, and Sepsis: Laboratory and Clinical Approaches includes studies of novel therapeutic approaches, such as immunomodulation, gene therapy, nutrition, and others. The mission of the Journal is to foster and promote multidisciplinary studies, both experimental and clinical in nature, that critically examine the etiology, mechanisms and novel therapeutics of shock-related pathophysiological conditions. Its purpose is to excel as a vehicle for timely publication in the areas of basic and clinical studies of shock, trauma, sepsis, inflammation, ischemia, and related pathobiological states, with particular emphasis on the biologic mechanisms that determine the response to such injury. Making such information available will ultimately facilitate improved care of the traumatized or septic individual.
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