Sex-biased expression of the TLR7 gene in severe COVID-19 patients: Insights from transcriptomics and epigenomics.

There is abundant epidemiological data indicating that the incidence of severe cases of coronavirus disease (COVID-19) is significantly higher in males than females worldwide. Moreover, genetic variation at the X-chromosome linked TLR7 gene has been associated with COVID-19 severity. It has been suggested that the sex-biased incidence of COVID-19 might be related to the fact that TLR7 escapes X-chromosome inactivation during early embryogenesis in females, thus encoding a doble dose of its gene product compared to males. We analyzed TLR7 expression in two acute phase cohorts of COVID-19 patients that used two different technological platforms, one of them in a multi-tissue context including saliva, nasal, and blood samples, and a third cohort that included different post-infection timepoints of long-COVID-19 patients. We additionally explored methylation patterns of TLR7 using epigenomic data from an independent cohort of COVID-19 patients stratified by severity and sex. In line with genome-wide association studies, we provide supportive evidence indicating that TLR7 has altered CpG methylation patterns and it is consistently downregulated in males compared to females in the most severe cases of COVID-19.

Elevated body mass index is associated with an increased risk of infectious disease admissions and mortality: a mendelian randomization study.

OBJECTIVE: The effect of body mass index (BMI) on the risk of infectious diseases admissions and mortality is unclear and is difficult to study given the risks of confounding variables. METHODS: We used genome-wide association studies (GWASs) with mendelian randomization (MR) to obtain causal inference of BMI on the following infectious diseases outcomes: hospital admissions for pneumonia, sepsis, urinary tract infections, skin and soft tissue infections (SSTIs) or all-cause infections. For patients with pneumonia and sepsis, we also analysed their 28-day and 90-day mortalities. The UK Biobank (UKB) cohort (n > 500 000) provided data for GWASs on infectious diseases. The GIANT consortium (n = 681 265) GWAS was used to identify single-nucleotide polymorphisms (SNPs) associated with BMI. RESULTS: Genetically increased BMI, by one standard deviation, was associated with higher rates of admission due to all infectious disease. The effect was most important for SSTIs (OR: 1.11, 95%CI: 1.09, 1.12). Increasing BMI by one standard deviation was associated with higher pneumonia mortality, especially at 28 days (OR: 1.03, 95%CI: 1.01, 1.05). BMI was not clearly associated with sepsis mortality, although interpretation of the results was limited by a small sample size. There were consistent findings in sensitivity analysis performed by removing highly pleiotropic SNPs and multivariate MR including type-2 diabetes mellitus, estimated glomerular filtration rate, high-density lipoprotein, educational attainment, and a history of smoking. CONCLUSIONS: Increased BMI was associated with increased risk of admission for infectious disease and mortality. While the pathophysiology behind this phenomenon remains unknown, increasing BMI may influence immune dysregulation.