# Are COVID-19 Polymorphisms in ACE and ACE2 Prognosis Predictors?

## TL;DR

This study explores whether genetic variations in ACE and ACE2 genes are linked to the severity and outcome of COVID-19.

## Contribution

The study identifies a potential link between ACE and ACE2 intronic deletions and mortality in COVID-19 patients.

## Key findings

- ACE and ACE2 intronic deletions were found in all deceased patients.
- Genetic polymorphisms in ACE and ACE2 correlate with differences in COVID-19 outcomes.
- The study suggests genetic factors may influence the clinical course of COVID-19.

## Abstract

Regardless of the containment of the SARS-CoV-2 pandemic, it remains paramount to comprehensively understand its underlying mechanisms to mitigate potential future health and economic impacts, comparable to those experienced throughout the course of the pandemic. The angiotensin-converting enzyme 2 (ACE2) provides anchorage for SARS-CoV-2 binding, thus implicating that ACE and ACE2 might contribute to the variability in infection severity. This study aimed to elucidate predisposing factors influencing the disease course among people infected by SARS-CoV-2, focusing on angiotensin-converting enzyme (ACE) and ACE2 polymorphisms. Notably, despite similar demographics and comorbidities, COVID-19 patients exhibit substantial differences in prognosis. Genetic polymorphisms in ACE and ACE2 have been implicated in disease progression, prompting our investigation into their role in COVID-19 evolution. Using next-generation sequencing (NGS), we analyzed ACE and ACE2 genes in a sample group comprising six subjects infected by SARS-CoV-2. Our findings revealed a correlation between specific polymorphisms and COVID-19 outcomes. Specifically, ACE and ACE2 intronic deletions were observed in all deceased patients, suggesting a potential association with mortality. These results highlight the significance of genetic factors in shaping the clinical course of COVID-19, emphasizing the importance of further research into the impact of genetic variations on COVID-19 severity.