A bidirectional mendelian-randomization analyses of genetically predicted circulating levels of systemic inflammatory regulators with risk of sepsis

Whether there is a causal relationship between circulating levels of systemic inflammatory regulators and sepsis remains unclear. To determine whether genetically predicted circulating levels of cytokines are associated with risk of sepsis, a bidirectional two-sample Mendelian randomization (MR) analysis based on the a STROBE-compliant cross-sectional observational study was conducted utilizing gene-wide association study (GWAS) data. Selected with rigor, single-nucleotide polymorphisms served as instrumental variables for subsequent MR analysis. The preferred method for the MR analysis was the inverse-variance weighted approach. However, for comprehensive sensitivity analyses, 6 additional MR methods were employed. Cochrane's Q test was performed to examine heterogeneity. A leave-one-out method ensured the stability of MR results. Our findings suggest an inverse association between the levels of beta-nerve growth factor (BNGF) and the risk of sepsis development (OR = 0.769, 95% CI = 0.599-0.987, P = .039). In contrast, higher levels of TNF-related apoptosis-inducing ligand and vascular endothelial growth factor A (VEGF-A) are positively correlated with sepsis risk (OR = 1.094, 95% CI = 1.012-1.183, P = .025; OR = 1.182, 95% CI = 1.016-1.375, P = .031, respectively). Reverse MR Analysis indicated that sepsis risk is linked with lower circulating levels of adenosine deaminase and Interleukin-17A (β = -0.043, 95% CI = -0.085 to -0.002, P = .042; β = -0.061, 95% CI = -0.108 to -0.013, P = .012, respectively), and also with higher circulating levels of BNGF, delta/notchlike epidermal growth factor-related receptor, fibroblast growth factor 23, leukemia inhibitory factor, monocyte chemoattractant protein-1, and osteoprotegerin (β = 0.056, 95% CI = 0.015-0.096, P = .007; β = 0.137, 95% CI = 0.035-0.240, P = .009; β = 0.118, 95% CI = 0.020-0.216, P = .018; β = 0.136, 95% CI = 0.020-0.252, P = .022; β = 0.143, 95% CI = 0.043-0.242, P = .005; β = 0.116, 95% CI = 0.010-0.222, P = .031, respectively). Sum up, our study provides evidence supporting a bidirectional causal relationship between sepsis and genetically predicted circulating levels of systemic inflammatory regulators.

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Journal
Medicine
Published
2025-04-25
DOI
https://doi.org/10.1097/md.0000000000042199
Citations
4
Primary Topic
Adipokines, Inflammation, and Metabolic Diseases
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article
Field-Weighted Citation Impact
5.42
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article

A bidirectional mendelian-randomization analyses of genetically predicted circulating levels of systemic inflammatory regulators with risk of sepsis

Jiaqi Lou, Guoying Jin, Shengyong Cui, Ziyi Xiang et al.
4 citations
Medicine
Adipokines, Inflammation, and Metabolic Diseases
5.42
article

A bidirectional mendelian-randomization analyses of genetically predicted circulating levels of systemic inflammatory regulators with risk of sepsis

Jiaqi Lou, Guoying Jin, Shengyong Cui, Ziyi Xiang, Ji‐Liang Li, Youfen Fan, Neng Huang, Xiaoyu Zhu
article en
4 citations

Abstract

Whether there is a causal relationship between circulating levels of systemic inflammatory regulators and sepsis remains unclear. To determine whether genetically predicted circulating levels of cytokines are associated with risk of sepsis, a bidirectional two-sample Mendelian randomization (MR) analysis based on the a STROBE-compliant cross-sectional observational study was conducted utilizing gene-wide association study (GWAS) data. Selected with rigor, single-nucleotide polymorphisms served as instrumental variables for subsequent MR analysis. The preferred method for the MR analysis was the inverse-variance weighted approach. However, for comprehensive sensitivity analyses, 6 additional MR methods were employed. Cochrane's Q test was performed to examine heterogeneity. A leave-one-out method ensured the stability of MR results. Our findings suggest an inverse association between the levels of beta-nerve growth factor (BNGF) and the risk of sepsis development (OR = 0.769, 95% CI = 0.599-0.987, P = .039). In contrast, higher levels of TNF-related apoptosis-inducing ligand and vascular endothelial growth factor A (VEGF-A) are positively correlated with sepsis risk (OR = 1.094, 95% CI = 1.012-1.183, P = .025; OR = 1.182, 95% CI = 1.016-1.375, P = .031, respectively). Reverse MR Analysis indicated that sepsis risk is linked with lower circulating levels of adenosine deaminase and Interleukin-17A (β = -0.043, 95% CI = -0.085 to -0.002, P = .042; β = -0.061, 95% CI = -0.108 to -0.013, P = .012, respectively), and also with higher circulating levels of BNGF, delta/notchlike epidermal growth factor-related receptor, fibroblast growth factor 23, leukemia inhibitory factor, monocyte chemoattractant protein-1, and osteoprotegerin (β = 0.056, 95% CI = 0.015-0.096, P = .007; β = 0.137, 95% CI = 0.035-0.240, P = .009; β = 0.118, 95% CI = 0.020-0.216, P = .018; β = 0.136, 95% CI = 0.020-0.252, P = .022; β = 0.143, 95% CI = 0.043-0.242, P = .005; β = 0.116, 95% CI = 0.010-0.222, P = .031, respectively). Sum up, our study provides evidence supporting a bidirectional causal relationship between sepsis and genetically predicted circulating levels of systemic inflammatory regulators.

MedicineVol. 104(17)
Ningbo University (CN), University of Bonn (DE), Ningbo No. 2 Hospital (CN)
Good health and well-being
Openalex Percentile: Top 4%
Adipokines, Inflammation, and Metabolic Diseases
5.42
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