Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China.
Guangzhou Laboratory, Guangzhou International Bio Island, XingDaoHuanBei Road, Guangdong Province, Guangzhou, 510005, China.
BMC Med Genomics. 2024 Mar 28;17(1):81. doi: 10.1186/s12920-024-01844-4.
Blood is critical for health, supporting key functions like immunity and oxygen transport. While studies have found links between common blood clinical indicators and COVID-19, they cannot provide causal inference due to residual confounding and reverse causality. To identify indicators affecting COVID-19, we analyzed clinical data (n = 2,293, aged 18-65 years) from Guangzhou Medical University's first affiliated hospital (2022-present), identifying 34 significant indicators differentiating COVID-19 patients from healthy controls. Utilizing bidirectional Mendelian randomization analyses, integrating data from over 2.46 million participants from various large-scale studies, we established causal links for six blood indicators with COVID-19 risk, five of which is consistent with our observational findings. Specifically, elevated Troponin I and Platelet Distribution Width levels are linked with increased COVID-19 susceptibility, whereas higher Hematocrit, Hemoglobin, and Neutrophil counts confer a protective effect. Reverse MR analysis confirmed four blood biomarkers influenced by COVID-19, aligning with our observational data for three of them. Notably, COVID-19 exhibited a positive causal relationship with Troponin I (Tnl) and Serum Amyloid Protein A, while a negative association was observed with Plateletcrit. These findings may help identify high-risk individuals and provide further direction on the management of COVID-19.
血液对健康至关重要,支持着免疫和氧气运输等关键功能。虽然研究已经发现常见血液临床指标与 COVID-19 之间存在关联,但由于残余混杂和反向因果关系,它们无法提供因果推断。为了确定影响 COVID-19 的指标,我们分析了广州医科大学第一附属医院(2022 年至今)的临床数据(n=2293 名年龄在 18-65 岁之间的患者),确定了 34 个区分 COVID-19 患者和健康对照者的显著指标。利用双向孟德尔随机化分析,整合来自多个大型研究的超过 246 万名参与者的数据,我们确定了与 COVID-19 风险相关的六个血液指标的因果关系,其中五个与我们的观察结果一致。具体来说,肌钙蛋白 I 和血小板分布宽度水平升高与 COVID-19 易感性增加有关,而高血细胞比容、血红蛋白和中性粒细胞计数则具有保护作用。反向 MR 分析证实了四个受 COVID-19 影响的血液生物标志物,其中三个与我们的观察数据一致。值得注意的是,COVID-19 与肌钙蛋白 I(Tnl)和血清淀粉样蛋白 A 呈正因果关系,而与血小板分布宽度呈负相关。这些发现可能有助于识别高风险个体,并为 COVID-19 的管理提供进一步的方向。