3 projects

Multi-omics evaluation of microbial co-infection as marker of COVID-19 severity -(CO-INFECTOMICS)

The main goal of this project is to understand if SARS-CoV2 co-infections are a predictive marker of disease severity in the Luxembourgish population. To achieve this, the study will compare the respiratory and stool samples of mild and severe SARS-CoV2 positive patients. Using metagenomics and metatranscriptomics, microbial profiles of the respiratory and intestinal tracts will be investigated, with a specific attention for co-infections. Moreover, individual microbial profiles will be correlated to the health parameters and immune response. We hope that the CO-INFECTOMICS project will ena...

MicroRNA biomarkers of COVID-19 severity

The Cardiovascular Research Unit of LIH proposes to apply its know-how on RNA biomarkers to identify circulating microRNAs (miRNAs) able to predict COVID-19 severity. This project is included in COVID-19 Task force WP02 and aims to fulfill the medical need of identifying patients at high risk of developing complications after infection by SARS-CoV-2 virus. The discovery of novel prognostic biomarkers will help tailoring healthcare to each individual for patient's benefit. Considering the importance of the inflammatory storm on disease severity and patient outcome, we will focus on inflamma...

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...

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