Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Medicover Bochum, Bochum, Germany.
Lancet Diabetes Endocrinol. 2022 Mar;10(3):221-230. doi: 10.1016/S2213-8587(21)00346-6. Epub 2022 Feb 1.
Current evidence suggests that severity and mortality of COVID-19 is higher in men than in women, whereas women might be at increased risk of COVID-19 reinfection and development of long COVID. Differences between sexes have been observed in other infectious diseases and in the response to vaccines. Sex-specific expression patterns of proteins mediating virus binding and entry, and divergent reactions of the immune and endocrine system, in particular the hypothalamic-pituitary-adrenal axis, in response to acute stress might explain the higher severity of COVID-19 in men. In this Personal View, we discuss how sex hormones, comorbidities, and the sex chromosome complement influence these mechanisms in the context of COVID-19. Due to its role in the severity and progression of SARS-CoV-2 infections, we argue that sexual dimorphism has potential implications for disease treatment, public health measures, and follow-up of patients predisposed to the development of long COVID. We suggest that sex differences could be considered in future pandemic surveillance and treatment of patients with COVID-19 to help to achieve better disease stratification and improved outcomes.
目前的证据表明,COVID-19 在男性中的严重程度和死亡率高于女性,而女性可能面临更高的 COVID-19 再感染和长新冠发展风险。在其他传染病和疫苗反应中也观察到了性别差异。介导病毒结合和进入的蛋白质的性别特异性表达模式,以及免疫和内分泌系统(特别是下丘脑-垂体-肾上腺轴)对急性应激的不同反应,可能解释了男性 COVID-19 更严重的原因。在这篇个人观点中,我们讨论了性激素、合并症和性染色体组成如何在 COVID-19 背景下影响这些机制。由于其在 SARS-CoV-2 感染的严重程度和进展中的作用,我们认为性二态性可能对疾病治疗、公共卫生措施和易发展为长新冠的患者的随访具有潜在影响。我们建议在未来的大流行监测和 COVID-19 患者治疗中考虑性别差异,以帮助实现更好的疾病分层和改善结果。