2 projects
Status
Domain
Organization Type
Hormonal status as predictor of Covid-19 infection severity (HorCovIS)
Among people infected by COVID 19, significant disparities have been observed regarding the severity of the symptoms. Although some factors such as the presence of comorbidities have been pointed out, for another part of the patients the high severity of the symptoms remains unexplained. The HorCoVIS project aims at assessing how the hormonal status of the patients prior to infection, could be linked to symptoms severity and possibly used as a predictive tool of specific measures necessity in newly infected patients.
HUMAN GENETIC VARIANTS AS PREDICTORS OF THE IMMUNE RESPONSE TO COVID-19
One of the main unanswered questions is why some individuals infected with COVID-19 develop severe disease, whilst others do not. Current evidence suggests that genetic variations influence human immune reactions to microbial infections, including both innate and adaptive immune responses. Here, we aim to evaluate the impact of genetic factors on the variability of the innate immune response to SARS-CoV-2 infection. On top of a large screening of the classical immune response genes (e.g. IFNs, ILs, TLRs, MHCs), we are particularly interested in the IRG1/ACOD1 gene, which we previously di...
