Analyzing the role of ACE2, AR, MX1 and TMPRSS2 genetic markers for COVID-19 severity

The use of molecular biomarkers for COVID-19 remains unconclusive. The application of a molecular biomarker in combination with clinical ones that could help classifying aggressive patients in first steps of the disease could help clinician and sanitary system a better management of the disease. Her...

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Published in:Human genomics 2023-06, Vol.17 (1), p.50-50, Article 50
Main Authors: Martinez-Diz, Silvia, Morales-Álvarez, Carmen Maria, Garcia-Iglesias, Yarmila, Guerrero-González, Juan Miguel, Romero-Cachinero, Catalina, González-Cabezuelo, Jose María, Fernandez-Rosado, Francisco Javier, Arenas-Rodríguez, Verónica, Lopez-Cintas, Rocío, Alvarez-Cubero, Maria Jesús, Martinez-Gonzalez, Luis Javier
Format: Article
Language:English
Subjects:
ACE2
Androgens
Angiotensin-converting enzyme 2
Angiotensin-Converting Enzyme 2 - genetics
Asymptomatic
Biomarker
Biomarkers
Classification
COVID-19
COVID-19 - genetics
Databases, Factual
Dehydrogenases
Enzymes
Female
Ferritin
Gene expression
Genetic Markers
Humans
Infections
Membrane fusion
MX1
Myxovirus Resistance Proteins
Prostate cancer
Proteins
RNA polymerase
SARS-CoV-2
SARS-CoV-2 - genetics
Serine Endopeptidases - genetics
Severe acute respiratory syndrome coronavirus 2
TMPRSS2
Viruses
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Summary:The use of molecular biomarkers for COVID-19 remains unconclusive. The application of a molecular biomarker in combination with clinical ones that could help classifying aggressive patients in first steps of the disease could help clinician and sanitary system a better management of the disease. Here we characterize the role of ACE2, AR, MX1, ERG, ETV5 and TMPRSS2 for trying a better classification of COVID-19 through knowledge of the disease mechanisms. A total of 329 blood samples were genotyped in ACE2, MX1 and TMPRSS2. RNA analyses were also performed from 258 available samples using quantitative polymerase chain reaction for genes: ERG, ETV5, AR, MX1, ACE2, and TMPRSS2. Moreover, in silico analysis variant effect predictor, ClinVar, IPA, DAVID, GTEx, STRING and miRDB database was also performed. Clinical and demographic data were recruited from all participants following WHO classification criteria. We confirm the use of ferritin (p 
ISSN:1479-7364
1473-9542
1479-7364
DOI:10.1186/s40246-023-00496-2