Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Department of Internal Medicine, Division of Cardiovascular Medicine, University of Iowa Carver College of Medicine Iowa City, IA.
Mayo Clin Proc. 2021 Feb;96(2):446-463. doi: 10.1016/j.mayocp.2020.11.024. Epub 2020 Dec 3.
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.
2019 年冠状病毒病(COVID-19)的特点是对疾病的易感性和疾病严重程度存在个体差异。了解个体间的差异不仅对资源的分配具有重要意义,而且对需要升级治疗的患者进行靶向治疗、纳入临床试验以及包括疫苗接种在内的个体化医疗也具有重要意义。除地理位置和社会脆弱性外,还存在明显的生物学差异,如年龄、性别、种族、合并症存在、潜在遗传变异和不同的免疫反应,这些差异导致疾病表现的变异性。这些差异可能对精准医学具有重要意义。具体例子包括观察到雄激素调节跨膜丝氨酸蛋白酶 2 的表达,这有利于严重急性呼吸综合征冠状病毒 2 进入细胞;因此,正在探索雄激素剥夺疗法作为 COVID-19 男性感染者的治疗选择。对 COVID-19 患者的免疫表型研究表明,一部分患者会出现 T 细胞减少症,这促使进行了一项临床试验,测试白细胞介素 7 在这些患者中的疗效。预测哪些 COVID-19 患者会发展为需要住院治疗的进行性疾病,对针对门诊患者的临床试验具有重要意义。招募疾病进展和住院风险低的患者,可能不会导致这种疗法显示出疗效。有人正在努力使用人工智能整合智能手表应用程序或数字监测系统的数字数据和生物数据,以识别高危 COVID-19 患者。使用这种现代技术实现精准医学的最终目标是识别个体差异,以改善所有人的健康状况。