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Th1, Th2 and Th17 inflammatory pathways synergistically predict cardiometabolic protein expression in serum of COVID-19 patients.
Michels, James R; Nazrul, Mohammad Shaheed; Adhikari, Sudeep; Wilkins, Dawn; Pavel, Ana B.
  • Michels JR; Biomedical Engineering, University of Mississippi, University, MS, USA. apavel@olemiss.edu.
  • Nazrul MS; Computer and Information Science, University of Mississippi, University, MS, USA.
  • Adhikari S; Department of Physics and Astronomy, University of Mississippi, University, MS, USA.
  • Wilkins D; Computer and Information Science, University of Mississippi, University, MS, USA.
  • Pavel AB; Biomedical Engineering, University of Mississippi, University, MS, USA. apavel@olemiss.edu.
Mol Omics ; 18(5): 408-416, 2022 06 13.
Article in English | MEDLINE | ID: covidwho-1740493
ABSTRACT
A predominant source of complication in SARS-CoV-2 patients arises from a severe systemic inflammation that can lead to tissue damage and organ failure. The high inflammatory burden of this viral infection often results in cardiovascular comorbidities. A better understanding of the interaction between immune pathways and cardiovascular proteins might inform medical decisions and therapeutic approaches. In this study we hypothesized that helper T-cell inflammatory pathways (Th1, Th2 and Th17) synergistically correlate with cardiometabolic proteins in serum of COVID-19 patients. We found that Th1, Th2 and Th17 cytokines and chemokines are able to predict expression of 186 cardiometabolic proteins profiled by Olink proteomics.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cardiovascular Diseases / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Mol Omics Year: 2022 Document Type: Article Affiliation country: D2mo00055e

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cardiovascular Diseases / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Mol Omics Year: 2022 Document Type: Article Affiliation country: D2mo00055e