Angiotensin System Polymorphisms' in SARS-CoV-2 Positive Patients: Assessment Between Symptomatic and Asymptomatic Patients: A Pilot Study
The renin-angiotensin-aldosterone system (RAAS), a metabolic cascade regulating pressure and circulating blood volume, has been considered the main system involved in the pathogenesis of severe lung injury and organs decline in COVID-19 patients. The angiotensin I-converting enzyme ( ), angiotensin-...
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Published in: | Pharmacogenomics and personalized medicine Vol. 14; pp. 621 - 629 |
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Main Authors: | , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
New Zealand
Dove Medical Press Limited
01-01-2021
Taylor & Francis Ltd Dove Dove Medical Press |
Subjects: | |
Online Access: | Get full text |
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Summary: | The renin-angiotensin-aldosterone system (RAAS), a metabolic cascade regulating pressure and circulating blood volume, has been considered the main system involved in the pathogenesis of severe lung injury and organs decline in COVID-19 patients. The angiotensin I-converting enzyme (
), angiotensin-converting enzyme 2 (
), angiotensinogen (AGT) and receptors angiotensin II receptor type 1 (
) are key factors for SARS-CoV-2 entering in the cells, sodium and water retention with an increase blood pressure, promotion of fibrotic and inflammatory phenomena resulting in a cytokine storm.
In this pilot study, the frequencies of six polymorphisms in the
and
genes were analysed in symptomatic patients affected by COVID-19 and compared with the results obtained from asymptomatic subjects.
Thus, we have identified that rs2074192 (
), rs1799752 (
) and rs699 (
) SNPs could potentially be a valuable tool for predicting the clinical outcome of SARS-CoV-2 infected patients. A genetic predisposition may be prospected for severe internal organ damages and poor prognosis in patients with COVID-19 disease, as observed in symptomatic vs asymptomatic.
This study provides evidence that analysis of RAAS polymorphisms could be considered the key point in understanding and predicting the SARS-CoV-2 course infection. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors contributed equally to this work |
ISSN: | 1178-7066 1178-7066 |
DOI: | 10.2147/PGPM.S303666 |