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Clinical Trials/NCT04644146
NCT04644146
Unknown
Not Applicable

Genetic Predisposition to Severe Forms of COVID-19 (SARS-CoV2 Infection) in Patients Without Comorbidities

Hospices Civils de Lyon1 site in 1 country40 target enrollmentDecember 1, 2020
ConditionsCovid19

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Covid19
Sponsor
Hospices Civils de Lyon
Enrollment
40
Locations
1
Primary Endpoint
Primary criteria of data evaluation
Last Updated
5 years ago

Overview

Brief Summary

The main objective of this part of the project is to identify the germline genetic factors which discriminate the benign and severe forms of SARS-CoV2 (CoVID-19) infection in the context of the ongoing SARS-CoV2 (HCOVID-19) epidemic. The scientific arguments of the project are described in APPENDIX. We hypothesize that pathogenic variants in genes coding for crucial factors involved in the HOST PATHOGEN interaction could explain the susceptibility of some patients to severe disease, even in the absence of comorbidities. The challenge is to identify those of the genetic factors who may be related respiratory distress and potentially further death. Based on our previous experience in sarcoidosis, a multifactorial disease predisposing to opportunistic infections, we will focus particularly the regulation of apoptosis and autophagy, immune response to viral infection, and endoplasmic reticulum stress response (ER STRESS) which is closely linked to apoptosis. Genetic defects in such pathways may decrease the clearance of viral particles and induces the progressive invasion by SARS-CoV2 and destruction of lung parenchyma. Our strategy will be similar to that described in our previous studies on sarcoidosis, recently published. We will combine a comparative genotype analysis by WHOLE EXOME SEQUENCING (WES) of benign and severe forms of SARS-CoV2 infection through clinical subgroups defined by the infectious diseases experts and a bioinformatics analysis of the functional networks identified by the panel of genes sharing pathogenic variants and discriminating the severe forms of the diseases. WES data will be carefully analyzed and related to all the intracellular physiological process and also the functional pathways involved in host-pathogen interaction: viral targets on the cell surface and downstream signaling, viral genomic RNA replication and translation, production and release of new viral particles. Finally, our main objectives are the definition of a gene panel more specifically related to severe forms of infection and the characterization of defective pathways involved in pejorative forms of SARS-COv2 disease in order to identify putative therapeutic targets.

Registry
clinicaltrials.gov
Start Date
December 1, 2020
End Date
December 1, 2021
Last Updated
5 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • Patients affected by COVID-10 Age: 18-70 (values included) Without any co morbidities (analysis of the clinical files in our hospital) Without any regular treatments

Exclusion Criteria

  • below 18yr and higher than 70yr old
  • With comorbidities - ex: diabetes, obesity, hypertension, ischemic heart, neurological disorders, autoinflammatory / autoimmune diseases ...
  • Not agreeing the protocol (absence of informed consent)

Outcomes

Primary Outcomes

Primary criteria of data evaluation

Time Frame: through study completion, average 6 months

Number of genes affected by pathogenic variants in the SEVERE GROUP and for which no mutations have been observed in the CONTROL group For each gene sharing variants in the SEVERE GROUP and not in CONTROLS, the protein encoded by this gene will be identified and his function analyzed in the frame of various protein network software. The frequency of each mutation, so called the minor allele frequency will be evaluated in order to highlight only those which are rare (MAF \< 0,01) in the normal population and thus suggesting a putative pathogenic role in the response to SARS-CoV2 infection.

Study Sites (1)

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