Corona Virus Infection
Conditions
Keywords
COVID-19, Cytokines Storm, miRNA, Transcriptome, Microarray
Brief summary
The aim of this effort is to study host-pathogen interaction in Egyptian patients infected with COVID-19. The investigators will perform genome-wide miRNA and transcriptome screens in the infected patients along with healthy ones for comparison. All types of cytokines play pivotal roles in immunity, including the responses to different viral infections. Therefore, The investigators will study the cytokines profile in response to that infection. By comparing miRNA and transcriptome screens along with cytokines profiles, an important molecule might be identified that could play role in the inhibition of the COVID-19 outbreak. In addition, this information will help us gaining awareness of the immune process and knowing about the genes involved in the immune response against COVID-19 with an emphasis on the expression of cytokines.
Detailed description
Coronaviruses are a group of viruses that cause diseases in mammals and birds. In humans, coronaviruses cause respiratory tract infections that can be mild, such as some cases of the common cold, and others that can be lethal, such as severe acute respiratory syndrome (SARS), (middle east respiratory syndrome) MERS, and COVID-19. They contain a positive-sense, single-stranded RNA genome. The genome size ranges from approximately 27 to 34 kilobases. It has a 5' methylated cap 5'leader, UTR, replicas/transcriptase enzyme, spike (S) protein, envelope (E) protein, membrane (M) protein, nucleocapsid (N) protein, 3'untranslated region (3'UTR), and a poly (A) tail, respectively. The S protein has a major role in eliciting the protective immunity during infection with SARS-corona virus (SARS-CoV) by inducing neutralizing-antibodies and T-cell responses. It is also the most mutated part of the coronavirus genome. The aim of this effort is to study host-pathogen interaction in Egyptian patients infected with COVID-19. The investigators will perform genome-wide miRNA and transcriptome screens in the infected patients along with healthy ones for comparison. All types of cytokines play pivotal roles in immunity, including the responses to different viral infections. Therefore, The investigators will study the cytokines profile in response to that infection. By comparing miRNA and transcriptome screens along with cytokines profiles, an important molecule might be identified, which could play role in the inhibition of the COVID-19 outbreak. In addition, this information will help us gaining awareness of the immune process and knowing about the genes involved in the immune response against COVID-19 with an emphasis on the expression of cytokines.
Interventions
GENETICCOVID-19 Diagnostic and Assessment Tests
Complete Blood Count (CBC), Differential leukocytes, D-dimer, C-Reactive Protein, Polymerase Chain Reaction (PCR) Test, Ferritin level, Cytokines Profile, Transcriptome Analysis, miRNA Analysis.
Sponsors
Tanta University
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes
Inclusion criteria
* Confirmed COVID-19 Patients, and patients aged above 18 will be considered in this project.
Exclusion criteria
* Patients with more than one of these chronic diseases; diabetes mellitus, hypertension, cardiac diseases, and livers diseases grade 2 and 3 will be excluded.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Differential gene expression profile. | 3 months | The investigators will analysis total gene expression profile between 15 sever and 15 moderate COVID-19 patients in comparison to 10 health ones by using Affymetrix® Microarray Technology. Microarray raw data for whole transcriptome will be extracted and processed for analysis (about 25000 genes) using different software packages in order to dissect the differential expressions that will be correlated to the clinical data; for example (CBC, D-dimer value, ferritin value…..etc.). |
| Differential miRNA expression profile. | 3 months | The investigators will analysis total miRNA expression profile between 15 sever and 15 moderate COVID-19 patients in comparison to 10 health ones by using Affymetrix® Microarray Technology. Microarray raw data for whole miRNA expression will be extracted and processed for analysis using different software packages in order to dissect the differential expressions that will be correlated to the clinical data; for example (CBC, D-dimer value, ferritin value…..etc.). |
| Multiplex Cytokine assay | 3 months | This assay will be done on plasma of patients. The investigators will analysis the different cytokine profile between 15 sever and 15 moderate COVID-19 patients in comparison to 10 health ones by using xMAP (Multi-Analyte Profiling) technology & Luminex 200. The obtained data will be analyzed using statistical software to study the different profile between the selected participants. The obtained data will be also correlated to the clinical data; for example (CBC, D-dimer value, ferritin value…..etc.). |
Countries
Egypt
Contacts
Primary ContactMohammed El Shanshoury, Professor
Outcome results
None listed