69 projects

Host genetics of COVID-19

The COVID-19 pandemic is a global crisis creating severe disruptions across the economy and health system. Known risk factors for severe forms of COVID-19 disease include age, male sex, and comorbidities such as diabetes, hypertension, and cardiovascular diseases. Irrespective of these risk factors, some succumbing to the disease are previously healthy and relatively young. Hence, it has been hypothesized that the genetic background of the individuals might play a role in this differential immune response. In order to understand the role of genetics in COVID-19 immune response, the internat...

CORONASTEP+ - The value of sewage surveillance to provide new insights on the circulation of SARS...

Infection with SARS-CoV-2, the etiologic agent of the current COVID-19 pandemic, is accompanied by excretion of the virus in the feces. Therefore, we assume that the quantification of SARS CoV-2 in sewage allows the prevalence of infections in the population to be monitored by wastewater-based epidemiology, particularly when clinical trial capacity is limited. The overall objective of the CORONASTEP+ project is to determine to which extent SARS-CoV-2 is present in domestic wastewater and to determine how far wastewater monitoring can be used to track and understand the circulation of SARS-...

Leveraging Systems Biology to Target Hyperinflammation in COVID-19

The emergence of COVID-19 pandemic implies new challenges for the Health Systems worldwide. A small percentage of the patients require hospitalisation and specialised attention in Intensive Care Units (ICUs). Furthermore, accumulating evidence suggests that a subgroup of patients with severe COVID-19 might have a cytokine storm syndrome. Therefore, the main goal of the proposal is to elucidate the potential role of cytokine storm in COVID-19 disease severity, and to propose novel strategies for counteracting this hyperinflammatory response. In this context, we propose to develop a single...

Easy ambulatory diagnostic profilometry for Covid19 symptoms tracking: computed in Luxembourg

This project contributes to the following work packages: WP01: Infection prevalence, WP02: Predictive markers for covid-19 severity, WP05:real-time epidemiological data on COVID-19 positive or suspected cases treated in the ambulatory setting, WP07 : map and analyse COVID-19 incidence in Luxembourg, WP05 : exit strategy and 'controlled return to normalisation'. In order to easily track symptoms and severity of Covid19 diagnosed or suspected subjects, we propose a simple ambulatory diagnostic system for creating a functional capacity profilometry of an individual with modular approaches i...

Cytokines as biomarkers and therapeutic targets in COVID-19 infection

Cytokines play an important role in the pathogenesis of COVID-19 infection. A subgroup of patients develops a cytokine storm syndrome, correlating with a bad clinical outcome. For example, the concentration of the inflammatory cytokine Interleukin-6 (IL-6) has been recognized as a risk factor for mortality and for respiratory failure in Chinese and German patient cohorts, respectively. Tocilizumab, an antibody directed against the IL-6 receptor alpha chain, is used in clinical trials as well as an FDA-approved inhibitor of Jaks, tyrosine kinases which mediate the signal transduction of mult...

Virus-Surface Interactions in Dynamic Environments (V-SIDE)

Since the recent outbreak of the COVID-19 pandemic, a growing body of scientific literature has reported on the pre-infection viability and stability of the SARS-CoV-2 virus, qualitatively indicating the role of physical surfaces in transmission of the virus. The nature of the surfaces (e.g., paper v/s plastic v/s metals) and their properties (smooth v/s rough), are believed to play a critical role in determining the stability and viability during the pre-infection phase. Virus-surface interactions are inherently biophysical in nature wherein the dynamics of the environmental parameters (va...

An integrative network-based drug repurposing approach for COVID-19

We aim at analyzing the publicly available transcriptomics data generated by exposing human lung epithelial cells to SARS-CoV particles and measuring the differences in the gene expression. We will use a molecular network analysis approach to identify a set of key genes, that represent key regulators in the SARS-CoV gene expression signature. This signature will be filtered to distinguish pathological from protective responses and used to identify drugs that could potentially reverse pathological features of the disease phenotype based on the anti-correlation of known drug-response gene exp...

Understanding Immunity in COVID-19

Previously developed model of immune response [Abulikemu et al 2020] will be modified in the collaboration with model authors and used for understanding processes involved in SARS-CoV2. We will develop a systems immunology tool that stratifies the coronavirus patient population according to (i) their likelihood of developing the cytokine tornado and (ii) the tornado subtype they are subject to. It will insert individual patient information into our Abulikemu et al model [2020] and compute the implications for whether or not a flip from moderate ('acute') inflammation to a 'cytokine tornado...

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