A review on human reproductive systems encountering with the severe acute respiratory syndrome coronavirus 2 infection.
Esmaeil SamadianBahman AghcheliRoghaye GharaeiAlijan TabarraeiPublished in: International journal of reproductive biomedicine (2023)
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) is the leading cause of the new deadly pneumonia named coronavirus disease 2019 (COVID-19) pandemic. This pathogen has different co-receptors on various tissues, resulting in vast pathophysiological circumstances. Here, we present a comprehensive narrative review focusing on the impact of SARS-CoV2 on human reproduction. Evidence-based literature revealed inconsistent results for this virus in the reproductive organs of patients with COVID-19, even in the critical phase. Conversely, numerous satisfactory data represented those different reproductive activities, from gametogenesis to pregnancy, can be targeted by SARS-CoV2. The severity of COVID-19 depends on the differential expression of the host cellular components required to enter SARS-CoV2. The cytokine storm and oxidative stress coming out during COVID-19 are associated with complications in reproductive endocrinopathies. Men are naturally more susceptible to COVID-19, especially accompanied by orchitis and varicocele. Synergistically the interaction of SARS-CoV2 and female reproductive failures (polycystic ovary syndrome and endometriosis) increases the susceptibility to COVID-19. Thus, pharmaceutical interventions that ameliorate the complications in individuals with reproductive disorders can be helpful to achieve good outcomes in assisted reproductive techniques. Soon, an increase in the infertility rate will likely be an overall impact of SARS-CoV2 in patients who recovered from COVID-19.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- coronavirus disease
- polycystic ovary syndrome
- oxidative stress
- endothelial cells
- risk factors
- gene expression
- physical activity
- machine learning
- metabolic syndrome
- intensive care unit
- pluripotent stem cells
- skeletal muscle
- induced pluripotent stem cells
- type diabetes
- electronic health record
- candida albicans
- artificial intelligence
- adipose tissue
- deep learning
- glycemic control
- diabetic rats
- big data