Guo Mingjun, He Zhihui
Department of Critical Care Medicine, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2024 Nov 28;49(11):1790-1798. doi: 10.11817/j.issn.1672-7347.2024.240139.
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.
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 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.
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 (=1.104, 95% 1.021 to 1.194, =0.013), a 26.2% increased risk of sepsis-related 28-day mortality (=1.262, 95% 1.078 to 1.476, =0.004), a 22.3% increased risk of severe sepsis (=1.223, 95% 1.023 to 1.463, =0.027), and a 60.2% increased risk of severe sepsis with 28-day mortality (=1.602, 95% 1.119 to 2.294, =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 test showed no heterogeneity (>0.05), while MR-PRESSO and MR-Egger intercept tests indicated no evidence of horizontal pleiotropy (both >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.
B7-H3 may serve as an important biomarker for sepsis, as it is closely associated with sepsis susceptibility, severity, and clinical outcomes.
脓毒症仍然是一项重大的全球健康挑战,但仍缺乏特异性诊断生物标志物。本研究旨在利用孟德尔随机化(MR)分析探讨B7同源物3(B7-H3)与脓毒症易感性、严重程度及临床结局之间的因果关系,以评估其作为生物标志物的潜力。
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、严重脓毒症以及伴有28天死亡率的严重脓毒症)。选择与B7-H3相关的单核苷酸多态性(SNP)作为工具变量。采用逆方差加权(IVW)作为因果效应估计的主要方法,加权中位数(WME)和MR-Egger回归作为补充方法。此外,采用约束最大似然模型平均(cML-MA)方法提高因果效应估计的可靠性。进行Cochran's Q检验以评估异质性,使用MR-PRESSO以及MR-Egger截距法检测水平多效性。采用逐一剔除法进行敏感性分析。以脓毒症为暴露因素、B7-H3为结局进行反向MR分析,以排除潜在的反向因果关系。
IVW分析表明B7-H3与脓毒症易感性、严重程度及临床结局之间存在显著的正向因果关联。遗传预测的B7-H3水平升高1个标准差(SD)与脓毒症风险增加10.4%相关(β=1.104,95%CI 1.021至1.194,P=0.013),与脓毒症相关28天死亡率风险增加26.2%相关(β=1.262,95%CI 1.078至1.476,P=0.004),与严重脓毒症风险增加22.3%相关(β=1.223,95%CI 1.023至1.463,P=0.027),与伴有28天死亡率的严重脓毒症风险增加60.2%相关(β=1.602,95%CI 1.119至2.294,P=0.010)。IVW、WME、MR-Egger和cML-MA分析的因果效应方向保持一致,增强了结果的稳健性和可靠性。Cochran's Q检验未显示异质性(P>0.05),而MR-PRESSO和MR-Egger截距检验均未表明存在水平多效性证据(均P>0.05)。逐一剔除分析表明,去除单个SNP不会显著改变因果估计值。反向MR分析表明脓毒症与B7-H3之间无因果关联。
B7-H3可能是脓毒症的重要生物标志物,因为它与脓毒症易感性、严重程度及临床结局密切相关。