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Peripheral blood indicators and COVID-19: an observational and bidirectional Mendelian randomization study.


ABSTRACT: 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.

SUBMITTER: Chang Z 

PROVIDER: S-EPMC10979573 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Peripheral blood indicators and COVID-19: an observational and bidirectional Mendelian randomization study.

Chang Zhenglin Z   Wang Suilin S   Liu Kemin K   Lin Runpei R   Liu Changlian C   Zhang Jiale J   Wei Daqiang D   Nie Yuxi Y   Chen Yuerong Y   He Jiawei J   Li Haiyang H   Cheng Zhangkai J ZJ   Sun Baoqing B  

BMC medical genomics 20240328 1


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 COVI  ...[more]

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