Abstract
Background: Lipid metabolism plays an important role in viral infections. We aimed to assess the causal effect of lipid-lowering drugs (HMGCR inhibitiors, PCSK9 inhibitiors and NPC1L1 inhibitior) on COVID-19 outcomes using 2-sample Mendelian Randomization (MR) study.
Methods: We used two kinds of genetic instruments to proxy the exposure of lipid-lowering drugs, including eQTLs of drugs target genes, and genetic variants within or nearby drugs target genes associated with LDL cholesterol from GWAS. Summary-data-based MR (SMR) and inverse-variance weighted MR (IVW-MR) were used to calculate the effect estimates.
Results: SMR analysis found that a higher expression of HMGCR was associated with a higher risk of COVID-19 hospitalization (OR=1.38, 95%CI=1.06-1.81). Similarly, IVW-MR analysis observed a positive association between HMGCR-mediated LDL cholesterol and COVID-19 hospitalization (OR=1.32, 95%CI=1.00-1.74). No consistent evidence from both analyses was found for other associations.
Conclusions: This 2-sample MR study suggested a potential causal relationship between HMGCR inhibition and the reduced risk of COVID-19 hospitalization.
Funding: Fujian Province Major Science and Technology Program.
Original language | English |
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Article number | e73873 |
Journal | eLife |
Volume | 10 |
Early online date | 2021 |
DOIs | |
Publication status | Published - 2021 |
Subject classification (UKÄ)
- Cardiac and Cardiovascular Systems
- Medical Genetics