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Published on: July 5, 2022
The risk of common hypoglycemic and antihypertensive medications and COVID-19: A 2-sample Mendelian randomization
Ya Wang1, Kai Li2, Jiaxing Zeng3
1Endocrinology Department, Liuzhou Peoples' Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China.
Insights
This study found no causal link between common diabetes and hypertension medications and COVID-19 outcomes. These findings suggest current treatments for diabetes and hypertension do not worsen COVID-19 severity, hospitalization, or susceptibility.
Area of Science:
- Pharmacogenomics
- Infectious Disease Epidemiology
- Cardiovascular Medicine
Background:
- Diabetes and hypertension are known risk factors for severe COVID-19 outcomes.
- The impact of antidiabetic and antihypertensive medications on COVID-19 prognosis remains unclear.
- Existing observational studies show inconsistent results regarding these medications' effects on COVID-19.
Purpose of the Study:
- To investigate the potential causal relationship between commonly used antidiabetic and antihypertensive medications and COVID-19 outcomes.
- To clarify the role of specific drug classes in COVID-19 susceptibility, hospitalization, and severity.
- To provide evidence-based guidance for medication use during the COVID-19 pandemic.
Main Methods:
- A 2-sample Mendelian randomization approach was utilized.
- Genetic variations in drug targets for 5 antidiabetic (SGLT-2 inhibitors, Sulfonylureas, Insulin analogues, Thiazolidinediones, GLP-1 analogues) and 3 antihypertensive (CCB, ACE inhibitors, BB) medications were used as instrumental variables.
- European population GWAS data for COVID-19 susceptibility, hospitalization, and severity were analyzed using random-effects inverse variance-weighted estimation and sensitivity analyses.
Main Results:
- No significant causal associations were detected between the genetic targets of the studied antidiabetic and antihypertensive medications and COVID-19 susceptibility.
- Similarly, no causal relationships were found between these drug targets and COVID-19 hospitalization.
- The analysis also revealed no causal link between the medications and COVID-19 severity.
Conclusions:
- This Mendelian randomization study suggests no causal relationship between commonly used antidiabetic and antihypertensive medications and COVID-19 outcomes.
- The findings indicate that these medications do not causally influence COVID-19 susceptibility, hospitalization, or severity.
- These results may help inform clinical decisions regarding the management of patients with diabetes and hypertension during the COVID-19 pandemic.
Background:
It has been reported that diabetes and hypertension increase the adverse outcomes of coronavirus disease 2019 (COVID-19). Aside from the inherent factors of diabetes and hypertension, it remains unclear whether antidiabetic or antihypertensive medications contribute to the increased adverse outcomes of COVID-19. The effect of commonly used antidiabetic and antihypertensive medications on COVID-19 outcomes has been inconsistently concluded in existing observational studies. Conducting a systematic study on the causal relationship between these medications and COVID-19 would be beneficial in guiding their use during the COVID-19 pandemic.
Methods:
We employed the 2-sample Mendelian randomization approach to assess the causal relationship between 5 commonly used antidiabetic medications (SGLT-2 inhibitors, Sulfonylureas, Insulin analogues, Thiazolidinediones, GLP-1 analogues) and 3 commonly used antihypertensive medications (calcium channel blockers [CCB], ACE inhibitors, β-receptor blockers [BB]), and COVID-19 susceptibility, hospitalization, and severe outcomes. The genetic variations in the drug targets of the 5 antidiabetic medications and 3 antihypertensive medications were utilized as instrumental variables. European population-specific genome-wide association analysis (GWAS) data on COVID-19 from the Host Genetics Initiative meta-analyses were obtained, including COVID-19 susceptibility (n = 2597,856), COVID-19 hospitalization (n = 2095,324), and COVID-19 severity (n = 1086,211). The random-effects inverse variance-weighted estimation method was employed as the primary assessment technique, with various sensitivity analyses conducted to evaluate heterogeneity and pleiotropy.
Results:
There were no potential associations between the genetic variations in the drug targets of the 5 commonly used antidiabetic medications (SGLT-2 inhibitors, Sulfonylureas, Insulin analogues, Thiazolidinediones, GLP-1 analogues) and the 3 commonly used antihypertensive medications (CCBs, ACE inhibitors, BBs) with COVID-19 susceptibility, hospitalization, and severity (all P > .016).
Conclusion:
The findings from this comprehensive Mendelian randomization analysis suggest that there may be no causal relationship between the 5 commonly used antidiabetic medications (SGLT-2 inhibitors, Sulfonylureas, Insulin analogues, Thiazolidinediones, GLP-1 analogues) and the 3 commonly used antihypertensive medications (CCBs, ACE inhibitors, BBs) with COVID-19 susceptibility, hospitalization, and severity.
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