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COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine
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 cl...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mayo Foundation for Medical Education and Research
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713605/ https://www.ncbi.nlm.nih.gov/pubmed/33549263 http://dx.doi.org/10.1016/j.mayocp.2020.11.024 |
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author | Pereira, Naveen L. Ahmad, Ferhaan Byku, Mirnela Cummins, Nathan W. Morris, Alanna A. Owens, Anjali Tuteja, Sony Cresci, Sharon |
author_facet | Pereira, Naveen L. Ahmad, Ferhaan Byku, Mirnela Cummins, Nathan W. Morris, Alanna A. Owens, Anjali Tuteja, Sony Cresci, Sharon |
author_sort | Pereira, Naveen L. |
collection | PubMed |
description | 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 outpatients. 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. |
format | Online Article Text |
id | pubmed-7713605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Mayo Foundation for Medical Education and Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-77136052020-12-04 COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine Pereira, Naveen L. Ahmad, Ferhaan Byku, Mirnela Cummins, Nathan W. Morris, Alanna A. Owens, Anjali Tuteja, Sony Cresci, Sharon Mayo Clin Proc Review 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 outpatients. 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. Mayo Foundation for Medical Education and Research 2021-02 2020-12-03 /pmc/articles/PMC7713605/ /pubmed/33549263 http://dx.doi.org/10.1016/j.mayocp.2020.11.024 Text en © 2020 Mayo Foundation for Medical Education and Research. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Review Pereira, Naveen L. Ahmad, Ferhaan Byku, Mirnela Cummins, Nathan W. Morris, Alanna A. Owens, Anjali Tuteja, Sony Cresci, Sharon COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine |
title | COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine |
title_full | COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine |
title_fullStr | COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine |
title_full_unstemmed | COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine |
title_short | COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine |
title_sort | covid-19: understanding inter-individual variability and implications for precision medicine |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713605/ https://www.ncbi.nlm.nih.gov/pubmed/33549263 http://dx.doi.org/10.1016/j.mayocp.2020.11.024 |
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