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COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine
Journal article   Open access   Peer reviewed

COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine

Naveen L. Pereira, Ferhaan Ahmad, Mirnela Byku, Nathan W. Cummins, Alanna A. Morris, Anjali Owens, Sony Tuteja and Sharon Cresci
Mayo Clinic proceedings, Vol.96(2), pp.446-463
02/01/2021
DOI: 10.1016/j.mayocp.2020.11.024
PMCID: PMC7713605
PMID: 33549263
url
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713605View
Published (Version of record) Open Access

Abstract

Coronavirus disease 2019 (COVID-19) is characterized by heterogeneity in susceptibility to the disease and severity of illness. Understanding inter-individual variation has important implications for not only allocation of resources but also targeting patients for escalation of care, inclusion in clinical trials, and individualized medical therapy including vaccination. In addition to geographic location and social vulnerability, there are clear biological differences such as age, sex, race, presence of comorbidities, underlying genetic variation, and differential immune response that contribute to variability in disease manifestation. These differences may have implications for precision medicine. Specific examples include the observation that androgens regulate the expression of the enzyme transmembrane protease, serine 2 which facilitates severe acute respiratory syndrome coronavirus 2 viral entry into the cell; therefore, androgen deprivation therapy is being explored as a treatment option in males infected with COVID-19. An immunophenotyping study of COVID-19 patients has shown that a subset develop T cytopenia which has prompted a clinical trial that is testing the efficacy of interleukin-7 in these patients. Predicting which COVID-19 patients will develop progressive disease that will require hospitalization has important implications for clinical trials that target out-patients. Enrollment of patients at low risk for progression of disease and hospitalization would likely not result in such therapy demonstrating efficacy. There are efforts to use artificial intelligence to integrate digital data from smartwatch applications or digital monitoring systems and biological data to enable identification of the high risk COVID-19 patient. The ultimate goal of precision medicine using such modern technology is to recognize individual differences to improve health for all. (C) 2020 Mayo Foundation for Medical Education and Research
General & Internal Medicine Life Sciences & Biomedicine Medicine, General & Internal Science & Technology

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