Machine Learning to Identify Critical Biomarker Profiles in New SARS-CoV-2 Variants-Reference-Cited by-同舟云学术

Machine Learning to Identify Critical Biomarker Profiles in New SARS-CoV-2 Variants

Published:2024-04-15 Issue:4 Volume:12 Page:798
ISSN:2076-2607
Container-title:Microorganisms
language:en
Short-container-title:Microorganisms

Author:

Schatz Christoph¹²^ORCID,Knabl Ludwig¹,Lee Hye Kyung³^ORCID,Seeboeck Rita⁴⁵,von Laer Dorothee⁶,Lafon Eliott⁷,Borena Wegene⁶^ORCID,Mangge Harald⁸^ORCID,Prüller Florian⁸^ORCID,Qerimi Adelina²^ORCID,Wilflingseder Doris⁷⁹^ORCID,Posch Wilfried⁷^ORCID,Haybaeck Johannes¹⁰¹¹¹²¹³

Affiliation:

1. Tyrolpath Obrist Brunhuber GmbH, 6311 Zams, Austria

2. Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Muellerstrasse 44, 6020 Innsbruck, Austria

3. Laboratory of Genetics and Physiology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA

4. Department Life Sciences, IMC University of Applied Sciences Krems, 3500 Krems, Austria

5. Clinical Institute of Pathology, University Hospital St. Poelten, Karl Landsteiner University of Health Science, 3100 St. Poelten, Austria

6. Institute of Virology, Medical University of Innsbruck, Peter-Mayr-Strasse 4b, 6020 Innsbruck, Austria

7. Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020 Innsbruck, Austria

8. Clinical Institute for Medical and Chemical Laboratory Diagnosis (CIMCL), Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria

9. Department of Pathobiology, Infectiology, Veterinary University of Vienna, Veterinärplatz 1, 1210 Vienna, Austria

10. Department of Pathology, Saint Vincent Hospital Zams, 6511 Zams, Austria

11. Diagnostic and Research Center for Molecular BioMedicine, Institute of Pathology, Medical University of Graz, 8010 Graz, Austria

12. Department of Pathology, Laborteam, 9403 Goldach, Switzerland

13. Department of Pathology, University Medical Centre Maribor, 2000 Maribor, Slovenia

Abstract

The global dissemination of SARS-CoV-2 resulted in the emergence of several variants, including Alpha, Alpha + E484K, Beta, and Omicron. Our research integrated the study of eukaryotic translation factors and fundamental components in general protein synthesis with the analysis of SARS-CoV-2 variants and vaccination status. Utilizing statistical methods, we successfully differentiated between variants in infected individuals and, to a lesser extent, between vaccinated and non-vaccinated infected individuals, relying on the expression profiles of translation factors. Additionally, our investigation identified common causal relationships among the translation factors, shedding light on the interplay between SARS-CoV-2 variants and the host’s translation machinery.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

MDPI AG

Link

https://www.mdpi.com/2076-2607/12/4/798/pdf

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