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COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine
Naveen L Pereira1, Ferhaan Ahmad2, Mirnela Byku3
1Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Insights
Understanding individual differences in COVID-19 is key for personalized medicine. Biological factors and technology integration help identify high-risk patients for better treatment and clinical trial targeting.
Area of Science:
- Immunology
- Genetics
- Digital Health
Background:
- Coronavirus disease 2019 (COVID-19) exhibits significant variability in susceptibility and illness severity among individuals.
- Inter-individual variations in disease manifestation are influenced by demographic, social, and biological factors, including age, sex, race, comorbidities, genetics, and immune responses.
Purpose of the Study:
- To explore the implications of inter-individual variation in COVID-19 for precision medicine.
- To highlight how understanding these differences can improve patient care, clinical trial design, and therapeutic strategies.
Main Methods:
- Review of existing research on biological differences contributing to COVID-19 variability.
- Examination of specific examples like androgen regulation of viral entry and T-cell cytopenia.
- Discussion of emerging efforts using artificial intelligence and digital data for risk prediction.
Main Results:
- Biological factors such as androgens and T-cell counts influence COVID-19 severity and treatment response.
- Clinical trials are investigating targeted therapies like androgen deprivation and interleukin-7 based on patient-specific factors.
- AI and digital monitoring show promise in integrating diverse data for identifying high-risk COVID-19 patients.
Conclusions:
- Precision medicine approaches are crucial for tailoring COVID-19 treatments and interventions.
- Integrating biological and digital data can enhance the identification of at-risk individuals for improved health outcomes.
- Recognizing individual differences is essential for advancing personalized healthcare in the context of infectious diseases.
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 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.
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