BMC Medical Genomics (Mar 2024)

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

  • Zhenglin Chang,
  • Suilin Wang,
  • Kemin Liu,
  • Runpei Lin,
  • Changlian Liu,
  • Jiale Zhang,
  • Daqiang Wei,
  • Yuxi Nie,
  • Yuerong Chen,
  • Jiawei He,
  • Haiyang Li,
  • Zhangkai J. Cheng,
  • Baoqing Sun

DOI
https://doi.org/10.1186/s12920-024-01844-4
Journal volume & issue
Vol. 17, no. 1
pp. 1 – 12

Abstract

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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.

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