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suck abstract from ncbi


10.1016/j.mayocp.2020.07.024

http://scihub22266oqcxt.onion/10.1016/j.mayocp.2020.07.024
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33012349!7402208!33012349
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suck abstract from ncbi

pmid33012349      Mayo+Clin+Proc 2020 ; 95 (10): 2189-2203
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  • COVID-19 and Sex Differences: Mechanisms and Biomarkers #MMPMID33012349
  • Haitao T; Vermunt JV; Abeykoon J; Ghamrawi R; Gunaratne M; Jayachandran M; Narang K; Parashuram S; Suvakov S; Garovic VD
  • Mayo Clin Proc 2020[Oct]; 95 (10): 2189-2203 PMID33012349show ga
  • Men are consistently overrepresented in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and coronavirus disease 2019 (COVID-19) severe outcomes, including higher fatality rates. These differences are likely due to gender-specific behaviors, genetic and hormonal factors, and sex differences in biological pathways related to SARS-CoV-2 infection. Several social, behavioral, and comorbid factors are implicated in the generally worse outcomes in men compared with women. Underlying biological sex differences and their effects on COVID-19 outcomes, however, have received less attention. The present review summarizes the available literature regarding proposed molecular and cellular markers of COVID-19 infection, their associations with health outcomes, and any reported modification by sex. Biological sex differences characterized by such biomarkers exist within healthy populations and also differ with age- and sex-specific conditions, such as pregnancy and menopause. In the context of COVID-19, descriptive biomarker levels are often reported by sex, but data pertaining to the effect of patient sex on the relationship between biomarkers and COVID-19 disease severity/outcomes are scarce. Such biomarkers may offer plausible explanations for the worse COVID-19 outcomes seen in men. There is the need for larger studies with sex-specific reporting and robust analyses to elucidate how sex modifies cellular and molecular pathways associated with SARS-CoV-2. This will improve interpretation of biomarkers and clinical management of COVID-19 patients by facilitating a personalized medical approach to risk stratification, prevention, and treatment.
  • |*Betacoronavirus[MESH]
  • |*Sex Characteristics[MESH]
  • |Biomarkers/blood[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*blood/*diagnosis[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*blood/*diagnosis[MESH]
  • |SARS-CoV-2[MESH]


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