Sex differences in immune responses that underlie COVID-19 disease outcomes
By Takehiro Takahashi, Mallory K. Ellingson, P. Wong, Benjamin Israelow, C. Lucas, J. Klein, Julio Silva, Tianyang Mao, Ji-Eun Oh, M. Tokuyama and 86 more. Nature, 2020
1,282 citations recorded by the source corpus.
There is increasing evidence that coronavirus disease 2019 (COVID-19) produces more severe symptoms and higher mortality among men than among women1–5. However, whether immune responses against severe acute respiratory syndrome coronavirus (SARS-CoV-2) differ between sexes, and whether such differences correlate with the sex difference in the disease course of COVID-19, is currently unknown. Here we examined sex differences in viral loads, SARS-CoV-2-specific antibody titres, plasma cytokines and blood-cell phenotyping in patients with moderate COVID-19 who had not received immunomodulatory medications. Male patients had higher plasma levels of innate immune cytokines such as IL-8 and IL-18 along with more robust induction of non-classical monocytes. By contrast, female patients had more robust T cell activation than male patients during SARS-CoV-2 infection. Notably, we found that a poor T cell response negatively correlated with patients’ age and was associated with worse disease outcome in male patients, but not in female patients. By contrast, higher levels of innate immune cytokines were associated with worse disease progression in female patients, but not in male patients. These findings provide a possible explanation for the observed sex biases in COVID-19, and provide an important basis for the development of a sex-based approach to the treatment and care of male and female patients with COVID-19. Male patients with COVID-19 have higher plasma levels of innate immune cytokines and chemokines such as IL-8, IL-18 and CCL5 and more non-classical monocytes than female patients, whereas female patients mount robust T cell activation maintained even in older age.
Subfields: Clinical Psychology, Infectious Diseases, Obstetrics and Gynecology
View Paper: https://www.semanticscholar.org/paper/9a3f3cd6f46555cc95b6659597980a8b9d172297
Citations in the corpus
- Model-informed COVID-19 vaccine prioritization strategies by age and serostatus (2021, neutral): “However, other factors correlate with disease outcomes, such as treatment and healthcare access and comorbidities, which may correlate with factors like rural vs urban location, socioeconomic status, sex ( 41, 42 ), and race and ethnicity ( 43 ), that are not accounted for in this study.”