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

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.

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Publication Details

Journal
Shock
Published
2025-04-04
DOI
https://doi.org/10.1097/shk.0000000000002599
Citations
1
Primary Topic
Lipid metabolism and disorders
Type
article
Field-Weighted Citation Impact
1.39
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article

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

Yiying Yang, Benjamin C. Tang, Weiqin Wang, Huali Zhang et al.
1 citations
Shock
Lipid metabolism and disorders
1.39
article

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

Yiying Yang, Benjamin C. Tang, Weiqin Wang, Huali Zhang, Chuyi Tan, Han Ma
article en
1 citations

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.

ShockVol. 64(2)
Central South University (CN), Hunan University (CN), Zero to Three (US), Xiangya Hospital Central South University (CN)
Good health and well-being
Openalex Percentile: Top 20%
Lipid metabolism and disorders
1.39
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