Potential value of B7-H3 in sepsis diagnosis and prognosis: A Mendelian randomization study.

Q3 Medicine
Mingjun Guo, Zhihui He
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引用次数: 0

Abstract

Objectives: Sepsis remains a major global health challenge, yet specific diagnostic biomarkers are still lacking. This study aims to investigate the causal relationship between B7 homologue 3 (B7-H3) and sepsis susceptibility, severity, and clinical outcomes using Mendelian randomization (MR) analysis, in order to evaluate its potential as a biomarker.

Methods: Genetic data related to sepsis (including overall sepsis, sepsis-related mortality with 28 days, severe sepsis, and severe sepsis with 28-day mortality) were extracted from genome-wide association study (GWAS) datasets. Single nucleotide polymorphisms (SNPs) associated with B7-H3 were selected as instrumental variables. The inverse-variance weighted (IVW) was used as the primary approach for causal effect estimation, while weighted median (WME) and MR-Egger regression served as supplementary methods. Additionally, a constrained maximum likelihood-model average (cML-MA) approach was employed to enhance the reliability of causal effect estimation. Cochran's Q test was conducted to assess heterogeneity, and MR-PRESSO along with the MR-Egger intercept method were used to detect horizontal pleiotropy. Sensitivity analyses were performed using the leave-one-out method. A reverse MR analysis was performed with sepsis as the exposure and B7-H3 as the outcome to exclude potential reverse causation.

Results: IVW analysis indicated a significant positive causal association between B7-H3 and sepsis susceptibility, severity, and clinical outcomes. A genetically predicted 1-standard deviation (SD) increase in B7-H3 levels was associated with a 10.4% increased risk of sepsis (OR=1.104, 95% CI 1.021 to 1.194, P=0.013), a 26.2% increased risk of sepsis-related 28-day mortality (OR=1.262, 95% CI 1.078 to 1.476, P=0.004), a 22.3% increased risk of severe sepsis (OR=1.223, 95% CI 1.023 to 1.463, P=0.027), and a 60.2% increased risk of severe sepsis with 28-day mortality (OR=1.602, 95% CI 1.119 to 2.294, P=0.010). The causal effect direction remained consistent across IVW, WME, MR-Egger, and cML-MA analyses, reinforcing the robustness and reliability of the results. Cochran's Q test showed no heterogeneity (P>0.05), while MR-PRESSO and MR-Egger intercept tests indicated no evidence of horizontal pleiotropy (both P>0.05). The leave-one-out analysis showed that removing individual SNPs did not significantly alter the causal estimates. Reverse MR analysis showed no causal association between sepsis and B7-H3.

Conclusions: B7-H3 may serve as an important biomarker for sepsis, as it is closely associated with sepsis susceptibility, severity, and clinical outcomes.

B7-H3在败血症诊断和预后中的潜在价值:一项孟德尔随机研究。
目的:脓毒症仍然是一个主要的全球健康挑战,但特异性诊断生物标志物仍然缺乏。本研究旨在通过孟德尔随机化(MR)分析探讨B7同源物3 (B7- h3)与脓毒症易感性、严重程度和临床结果之间的因果关系,以评估其作为生物标志物的潜力。方法:从全基因组关联研究(GWAS)数据集中提取与脓毒症相关的遗传数据(包括总体脓毒症、28天脓毒症相关死亡率、严重脓毒症和严重脓毒症28天死亡率)。选择与B7-H3相关的单核苷酸多态性(SNPs)作为工具变量。因果效应估计主要采用反方差加权法(IVW),加权中位数法(WME)和MR-Egger回归法作为辅助方法。此外,采用约束最大似然模型平均(cML-MA)方法来提高因果效应估计的可靠性。采用Cochran’s Q检验评估异质性,采用MR-PRESSO和MR-Egger截距法检测水平多效性。采用留一法进行敏感性分析。以败血症为暴露,B7-H3为结果,进行反向MR分析,以排除潜在的反向因果关系。结果:IVW分析显示B7-H3与脓毒症的易感性、严重程度和临床结果呈正相关。遗传预测的1标准偏差(SD) B7-H3水平增加与败血症风险增加10.4% (OR=1.104, 95% CI 1.021至1.194,P=0.013),败血症相关28天死亡率增加26.2% (OR=1.262, 95% CI 1.078至1.476,P=0.004),严重败血症风险增加22.3% (OR=1.223, 95% CI 1.023至1.463,P=0.027),严重败血症28天死亡率增加60.2% (OR=1.602, 95% CI 1.119至2.294,P=0.010)相关。因果效应方向在IVW、WME、MR-Egger和cML-MA分析中保持一致,增强了结果的稳健性和可靠性。Cochran’s Q检验未发现异质性(P < 0.05), MR-PRESSO和MR-Egger截距检验未发现水平多效性(P < 0.05)。留一分析表明,去除单个snp并没有显著改变因果估计。反向MR分析显示败血症与B7-H3之间无因果关系。结论:B7-H3与脓毒症的易感性、严重程度和临床结局密切相关,可能是脓毒症的重要生物标志物。
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来源期刊
中南大学学报(医学版)
中南大学学报(医学版) Medicine-Medicine (all)
CiteScore
1.00
自引率
0.00%
发文量
8237
期刊介绍: Journal of Central South University (Medical Sciences), founded in 1958, is a comprehensive academic journal of medicine and health sponsored by the Ministry of Education and Central South University. The journal has been included in many important databases and authoritative abstract journals at home and abroad, such as the American Medline, Pubmed and its Index Medicus (IM), the Netherlands Medical Abstracts (EM), the American Chemical Abstracts (CA), the WHO Western Pacific Region Medical Index (WPRIM), and the Chinese Science Citation Database (Core Database) (CSCD); it is a statistical source journal of Chinese scientific and technological papers, a Chinese core journal, and a "double-effect" journal of the Chinese Journal Matrix; it is the "2nd, 3rd, and 4th China University Excellent Science and Technology Journal", "2008 China Excellent Science and Technology Journal", "RCCSE China Authoritative Academic Journal (A+)" and Hunan Province's "Top Ten Science and Technology Journals". The purpose of the journal is to reflect the new achievements, new technologies, and new experiences in medical research, medical treatment, and teaching, report new medical trends at home and abroad, promote academic exchanges, improve academic standards, and promote scientific and technological progress.
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