CovidResearchTrials by Shray Alag


CovidResearchTrials Covid 19 Research using Clinical Trials (Home Page)


COVID-19 patientsWiki

Developed by Shray Alag
Clinical Trial MeSH HPO Drug Gene SNP Protein Mutation


Correlated Drug Terms (2)


Name (Synonyms) Correlation
drug1204 Guduchi Ghan Vati Wiki 0.71
drug2926 To assess for development of IgG antibodies against SARS-CoV2 Wiki 0.71

Correlated MeSH Terms (8)


Name (Synonyms) Correlation
D058070 Asymptomatic Diseases NIH 0.82
D003333 Coronaviridae Infections NIH 0.32
D012327 RNA Virus Infections NIH 0.32
D014777 Virus Diseases NIH 0.08
D003141 Communicable Diseases NIH 0.06
D007239 Infection NIH 0.04
D045169 Severe Acute Respiratory Syndrome NIH 0.03
D018352 Coronavirus Infections NIH 0.03

Correlated HPO Terms (0)


Name (Synonyms) Correlation

There are 2 clinical trials

Clinical Trials


1 Role of Inflammasomes in COVID-19 Disease

As of March 25, 2020, 414,179 cases and 18,440 deaths secondary to Coronavirus 2019 disease (COVID-19) have been reported worldwide. The unfavorable course of the patients is characterized on the immunological level by an intense pro-inflammatory response which can go as far as a cytokinic storm. This pandemic affects a naive world population from an immunological point of view with respect to SARS-CoV-2 responsible for COVID-19. The evolution is favorable without hospitalization in almost 85% of cases. Among patients hospitalized for pneumonia, some will not require ventilatory support while others will need intensive care. To date, two main types of unfavorable evolution have been described. The first is a bi-phasic evolution beginning with a paucisymptomatic form which is worsened secondarily with respiratory distress associated with a decrease in the viral load in the airways. The second is associated with persistent high viral loads in the airways and detection of the virus in the blood. These different clinical profiles could depend on the quantitative and qualitative response of the innate immune system. At the early stage of a viral infection the innate immunity is capable of detecting certain conserved microbial patterns (PAMP, pathogen-associated molecular pattern) recognized by receptors dedicated to these patterns (PRR, pattern recognition receptor). This process allows to initiate the pro-inflammatory response via different signaling pathways. Activating multiprotein complexes called inflammasomes, which cause pro-IL-1β and pro-IL-18 to be transformed into active pro-inflammatory cytokines are one of these pathways. The central role of inflammasomes in the secretion of these pro-inflammatory cytokines deserves an in-depth study of their activation during COVID-19, whereas the inadequate inflammatory response appears to be the determining factor in the unfavorable development of patients. The objective of this project is to analyze the level of activation of the inflammasomes and then to search for inactivating or activating mutations among the genes which code for the proteins constituting the inflammasomes in Covid-19 patients. The identification of mutations in patients with a serious clinical presentation or even death would be followed by fundamental work by analyzing in a cellular model the impact of these mutations on the secretion of IL-1β.

NCT04385017 COVID-19 by SARS-CoV-2 Infection Other: COVID-19 patients

Primary Outcomes

Description: Percentage of immune cells with inflammasome positive labeling using flow cytometry in comparison to controls

Measure: Level of activation of inflammasomes in monocytes and polymorphonuclear neutrophils during COVID-19

Time: At inclusion

Secondary Outcomes

Description: Identification of genes nucleotide polymorphisms by Whole Exome Sequensing and bioinformatics analysis. Analysis of activating or inactivating mutations of NLRP3 NLRC4 AIM2 and Pyrin inflammasomes in patients with severe COVID-19.

Measure: Genes nucleoside polymorphism analysis

Time: At inclusion

2 Assesment of the Metabolomic Signature in COVID-19 Patients (SignCov Study)

Metabolomics is the analysis of small molecules in a biological sample (cells, tissues or biological fluids). It can potentially detect very sensitively any change related to a pathology or exposure to a toxic agent. The analyses are fast, inexpensive and therefore applicable in routine, particularly in health care. Given the emergence of this new disease, COVID-19, there is a real need to better understand the pathophysiological mechanisms of SARS-CoV-2 infection. In this context, metabolomics could have a place and could lead to the development of interesting diagnostic or prognostic tools. The objective of this study is to identify, through the analysis of biological samples (blood and urine), whether there is a metabolomic signature in patients with COVID-19.

NCT04497272 COVID 19 Other: COVID-19 patients

Primary Outcomes

Description: Identify a metabolomic profile using liquid chromatography combined with mass spectrometry (LC-MS) on the serum and urine of COVID-19 patients

Measure: Identifying the metabolomic signature

Time: 4 weeks after the inclusion

Secondary Outcomes

Description: Identification of the metabolomic profile of patients infected with SARS CoV 2 in the following subgroups: pauci-symptomatic patients, symptomatic patients without clinical severity criteria, and critically ill COVID-19 patients.

Measure: Identification of the metabolomic profile according to clinical severity.

Time: 4 weeks after the inclusion


No related HPO nodes (Using clinical trials)