The purpose of the program. To determine the clinical, functional, immunological, and genetic factors affecting the severity of the course of acute coronavirus infection COVID-19 and PostCovid syndrome, in order to develop management tactics for such patients to reduce the risk of complications and disability.
Objectives of the program:
1.1. To study the features of neurological disorders in patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.
2. To study the immunological profile of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.
3. To study the genetic profile of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.
4. Identify potential predictors of COVID-19 severity.
5. To determine the markers that allows predicting the development of the Post Covid syndrome.
6. Based on the selected markers, develop a COVID-19 outcome scale to determine the tactics of patient management to prevent the development of Post Covid syndrome.
The study will include patients with a positive PCR test for COVID-19. Patients in the acute phase of the course of the disease are monitored and treated in accordance with the republican COVID-19 treatment protocol. After signing the informed consent, the patient will be included in the study. The collection of the necessary materials for subsequent analyzes (clinical-functional, genetic, immunological) will be carried out in accordance with this protocol. Subsequently, patients are observed within one year from the moment of illness in accordance with the study protocol and with the collection of all necessary materials.
Clinical and functional analysis:
Detection of RNA of the COVID-19 virus using PCR analysis. Conducting complex laboratory studies in accordance with table 1.
General blood analysis Complete blood count on an analyzer with differentiation of 5 classes of cells, the ratio of neutrophils to lymphocytes
Blood chemistry ALT, AST, total bilirubin, direct, LDH, CRP, alpha-amylase, creatinine, urea, glucose, ferritin, glycosylated hemoglobin, vitamin 25 - OH vitamin D, vitamin B12
Coagulogram D-dimers, fibrinogen, INR, APTT
Other NT-pro BNP, Homocysteine, IL 6, Troponin, blood group determination
Linked immunosorbent assay Determination of IgG and IgM antibodies to SARS-CoV-2 coronavirus (COVID-19) in blood serum, RBD
Functional diagnostics ECG
Neurological disorders:
Immunological analysis:
A comprehensive immunological analysis will be carried out to determine the level of the immune response. Calculation of the level of CD4 +, CD8 + and NK cells. The level of antibodies of the IgG and IgM classes to the proteins of the coronavirus S1, RBD and N was determined Multiplex Immunoassay. For evaluation of immunological parameters, samples are diluted in 200 l of phosphate buffer, centrifuged and the supernatant analyzed using the manufacturer's protocol. The MILLIPLEX MAP human cytokine / chemokine magnetic bead panel will be used for the analysis of multiple cytokines and chemokines / immunoglobulins, and the Milliplex magnetic bead panel (HGAMMAG-301K-06, EMD Millipore Corp., Billerica, MA) will be used for immunoglobulin isotyping. Samples will be analyzed on Bioplex BIO-RAD for the following indicators: sCD40L, EGF, Eotaxin / CCL11, FGF-2, Flt-3 ligand, Fractalkine, G-CSF, GM-CSF, GRO, IFN-2, IFN-, IL -1, IL-1, IL-1ra, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12 (p40), IL-12 (p70), IL-13, IL-15, IL-17A, IP-10, MCP-1, MCP-3, MDC (CCL22), MIP-1, MIP-1, PDGF- AA, PDGF-AB / BB, RANTES, TGF-, TNF-, Immunophenotyping of T-cell and B-cell subpopulations using the flow cytometry method. Subpopulations of B- and T-lymphocytes will be examined by staining peripheral blood mononuclear cells (PBMCs) isolated from whole peripheral blood with monoclonal antibodies conjugated to fluorochromes. PBMCs can be isolated from EDTA-treated whole blood using Ficoll density gradient centrifugation or special erythrocyte lysis buffers. It is preferable to analyze isolated PBMCs directly on the day of blood collection, which gives more reliable results. PBMC viability will be assessed using LIVE / DEAD fixed dead cell kits or 0.4% trypan blue and propidium iodide solution. After lysis of erythrocytes and incubation with monoclonal antibodies, the stained cells are resuspended in a staining medium and examined using a MoFlo Astrios flow cytometer (Beckman Coulter, USA). The resulting data will be analyzed using Summit (Beckman Coulter) and FloJo (Tree Star) software.
Forward and side scatter will be used to distinguish the lymphocyte population in addition to the signal from specific fluorochromes. Distribution CD3-, CD5 +, CD19 + (total number of B-lymphocytes), CD5-, CD19 +, CD27 + (memory B-cells), CD19 + CD27- (naive B-cells), CD19 + CD27 + CD38 + IgD - (Class-Switched Memory B-Cells) CD19 + CD27 + CD38 + IgD + (Unswitched Memory B-Cells) will be analyzed on the general lymphocyte population. The distribution of markers CD3, CD4 and CD8 will be analyzed in the pool of T-lymphocytes. To analyze the differentiation status of T cells, cells are additionally stained with anti-CCR7, anti-CD45RO antibodies. Antibodies will be purchased from Invitrogen unless otherwise noted.
Genetic analysis:
Isolation (extraction) of DNA will be performed from whole blood using commercial kits according to the manufacturer's instructions. To analyze a large number of genetic markers, it is planned to carry out genome-wide sequencing followed by analysis of genetic polymorphisms of candidate genes encoding coronavirus receptors and immunological factors.
Sequencing will be performed using high-throughput next generation sequencing platforms Illumina NovaSeq6000 (Illumina), method validation using traditional capillary sequencing - ABI 3730XL DNA Analyzer (Life Technologies), real-time PCR.
Bioinformatic data analysis.Bioinformatics sequencing data will be analyzed. The software packages for bioinformatic analysis of sequencing data (GATK, bwa, bowtie, bowtie2, VarScan etc) will be used. The sequencing data will be compared with the publicly available data from the world's international databases of genomic research (https://www.covid19hg.org/, ExAC, HGMD (Human Gene Mutation Database), ESP, GeneBank, NCBI, ESP6500, 1000Genomes, SNPDb130, Ensembl, ClinVar, SNPedia, etc.). Differences in the type and frequency of genomic variation among the surveyed groups will be determined.
To classify the detected genetic variants, in silico models will be used (SIFT_score / pred, Polyphen2_HDIVscore / pred, Polyphen2_HVAR_score / pred, LRT_score / pred, MutationTaster_score / pred, MutationAssessor_score / pred, FATHMM_score / pred, Radial / MetaRVM_score pred). The classification of clinically significant genetic variants will be carried out according to the international ACMG / AMG criteria.
Statistical analysis:
Statistical analysis will be carried out using version R 3.6.2. Quantitative data, including clinical, biochemical, molecular genetic parameters, will be checked for normality using the Shapiro-Wilks test and recognized as parametric in distribution. Comparison of mean differences will be performed using one-way ANOVA, and subsequent pairwise comparison will be performed using Tukey's special test. Within-group mean differences will be performed using the paired sample t-test. The graphs will be executed using the ggplot2 R package. Statistical analysis will be performed for the multiplex analysis results using the R psych package and standard t-tests.
Inspection frequency:
Patients are followed up for 12 months from the date of illness. Disease detection corresponds to the baseline (day 0). At the time of diagnosis, materials are taken for clinical, functional and immunological diagnostics. After that, the sampling is carried out every month for the next year from the moment of the disease in accordance with the study protocol (Figure 2). The collection of materials for genetic analysis is carried out once.
Condition | Corona Virus Infection, Coronavirus, COVID19, Coronavirus Infection |
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Treatment | Clinical and functional analysis, Neurological analysis, Immunological analysis:, Genetic analysis: |
Clinical Study Identifier | NCT04987853 |
Sponsor | National Research Center for Cardiac Surgery, Kazakhstan |
Last Modified on | 11 August 2021 |
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