Covid19NCT04987853
Clinical, Functional, Immunological and Genetic Factors on the Severity of the Course of Coronavirus Infection
An observational study of Covid19 and Corona Virus Infection, run by National Research Center for Cardiac Surgery, Kazakhstan at 1 site in Kazakhstan.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 to 65 years
- Conditions the study is for
- Covid19, Corona Virus Infection
- What is being tested?
- Clinical and functional analysis, Neurological analysis and Immunological analysis:
- How many people
- 300 participants
- Where
- 1 siteKazakhstan
- Study dates
- 1 Jun 2021to 1 Jun 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: 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.
Who may be able to join
- Age over 18 years old
- Patients with a history of coronavirus infection COVID-19 confirmed by PCR analysis
- Patients who signed informed consent to participate in the study
Who cannot join
- Refusal to undergo diagnostic procedures determined by the research protocol.
- Evidence for preexisting interstitial lung disease.
- Participation in another study.
Trial locations and contacts
1 site in 1 country.
Kazakhstan1 site, 1 recruiting
- Recruiting
National Research Center for Cardiac Surgery
Astana, 010000
Makhabbat Sansyzbaeva, PhD, MD, +77172703153, cardiacsurgeryres@gmail.com
About this study
Official title: Assessment of the Influence of Clinical, Functional, Immunological, and Genetic Factors on the Severity of the Course of Coronavirus Infection With SARS-CoV-2 and Post Covid Syndrome
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.
Read the detailed description
Objectives of the program:
- To determine the clinical and functional characteristics of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome. 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.
- To study the immunological profile of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.
- To study the genetic profile of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.
- Identify potential predictors of COVID-19 severity.
- To determine the markers that allows predicting the development of the Post Covid syndrome.
- 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
- EchoCG + strain
- CT scan of the lungs
- Holter
- SMAD
- Kidney ultrasound
- Ultrasound
- Doppler ultrasonography of veins and arteries
- Chalder Scale, EQ Questionnaire Table 1. Clinical and functional analysis
Neurological disorders:
- Neurological examination with the isolation of neurological syndromes (motor, cognitive impairments, sleep disorders, asthenic-depressive syndromes, etc.).
- Neuropsychological methods - research on the scales of anxiety and depression, MMSE, etc.
- Instrumental method - EEG, polysonography, ultrasound of the neck vessels, CT perfusion.
- Laboratory research methods:
- The study of antibodies to some neurospecific antigens - myelin basic protein (MBP), neurospecific enolase (NSE).
- Study of cellular immunity (CD3 +, CD4 +, CD8 +) and general indicators of humoral immunity (IgG, IgA, IgM, circulating immune complexes).
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 μl 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-α2, IFN-γ, IL -1α, IL-1β, 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-1α, MIP-1β, PDGF- AA, PDGF-AB / BB, RANTES, TGF-α, TNF-α, 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.
- Conditions
- Covid19, Corona Virus Infection
- Being tested
- Clinical and functional analysis, Neurological analysis, Immunological analysis:, Genetic analysis:
- Keywords
- Post Covid syndrome, pneumonia, cardiology, genetic research, immunology
- Medical subject headings
- COVID-19, Coronavirus Infections, Pneumonia
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Clinical and functional analysisDiagnostic test
Also called Immunological analysis, Genetic analysis
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
- EchoCG + strain
- CT scan of the lungs
- Holter
- SMAD
- Kidney ultrasound
- Ultrasound
- Doppler ultrasonography of veins and arteries
- Chalder Scale, EQ Questionnaire
Neurological analysisDiagnostic test
Neurological examination with the isolation of neurological syndromes (motor, cognitive impairments, sleep disorders, asthenic-depressive syndromes, etc.).
- Neuropsychological methods - research on the scales of anxiety and depression, MMSE, etc.
- Instrumental method - EEG, polysonography, ultrasound of the neck vessels, CT perfusion.
- Laboratory research methods:
- The study of antibodies to some neurospecific antigens - myelin basic protein (MBP), neurospecific enolase (NSE).
- Study of cellular immunity (CD3 +, CD4 +, CD8 +) and general indicators of humoral immunity (IgG, IgA, IgM, circulating immune complexes).
Immunological analysis:Diagnostic test
Also called Multiplex Immunoassay, Immunophenotyping of T-cell and B-cell subpopulations
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
Genetic analysis:Diagnostic test
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.
| Study group | Role | What they receive |
|---|---|---|
| Acute COVID patients | Patients in the acute phase of the course of the disease Receives: Diagnostic Test: Clinical and functional analysis; Diagnostic Test: Neurological analysis; Diagnostic Test: Immunological analysis:; Diagnostic Test: Genetic analysis: | |
| Long Covid Patients | Patients with chronic symptoms after a previous Covid-19 (4-12 weeks) Receives: Diagnostic Test: Clinical and functional analysis; Diagnostic Test: Neurological analysis; Diagnostic Test: Immunological analysis:; Diagnostic Test: Genetic analysis: | |
| Postcovid patients | Patients with chronic symptoms after a previous Covid-19 (more than 12 weeks) Receives: Diagnostic Test: Clinical and functional analysis; Diagnostic Test: Neurological analysis; Diagnostic Test: Immunological analysis:; Diagnostic Test: Genetic analysis: |
What is being measured
The primary outcome is the main question the study is designed to answer.
bioinformatic data analysis
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
Measured: 24 months
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
Measured: 24 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Aug 2021
- Study start1 Jun 2021
- Primary completion1 Dec 2022 (estimated)
- Study completion1 Jun 2023 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (17)Papers the sponsor has linked to this study.
- Other trials for Covid19Studies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 300 participants (estimated)
Sponsor and investigators
- Lead sponsor
- National Research Center for Cardiac Surgery, Kazakhstan
- Sponsor type
- University, hospital or other
- Collaborators
- Nazarbayev University Medical Center
- Responsible party
- Principal investigator, Makhabbat Bekbossynova, National Research Center for Cardiac Surgery, Kazakhstan
- Investigators
- Makhabbat Sansyzbaeva, Principal investigator, Chairman of the Board of "National Research Cardiac Surgery Centre" JSC
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04987853
- Sponsor's protocol ID
- version 1.0
- Other IDs
- BR10965164
- Status last verified
- Jul 2021
- First submitted
- 23 Jul 2021
- Last updated
- 3 Aug 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: all IPD that underlie results in a publication
Publications
Soy M, Keser G, Atagunduz P, Tabak F, Atagunduz I, Kayhan S. Cytokine storm in COVID-19: pathogenesis and overview of anti-inflammatory agents used in treatment. Clin Rheumatol. 2020 Jul;39(7):2085-2094. doi: 10.1007/s10067-020-05190-5. Epub 2020 May 30.
PubMed 32474885Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, Si HR, Zhu Y, Li B, Huang CL, Chen HD, Chen J, Luo Y, Guo H, Jiang RD, Liu MQ, Chen Y, Shen XR, Wang X, Zheng XS, Zhao K, Chen QJ, Deng F, Liu LL, Yan B, Zhan FX, Wang YY, Xiao GF, Shi ZL. Addendum: A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020 Dec;588(7836):E6. doi: 10.1038/s41586-020-2951-z. No abstract available.
PubMed 33199918de Wit E, van Doremalen N, Falzarano D, Munster VJ. SARS and MERS: recent insights into emerging coronaviruses. Nat Rev Microbiol. 2016 Aug;14(8):523-34. doi: 10.1038/nrmicro.2016.81. Epub 2016 Jun 27.
PubMed 27344959Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24.
PubMed 31986264Ragab D, Salah Eldin H, Taeimah M, Khattab R, Salem R. The COVID-19 Cytokine Storm; What We Know So Far. Front Immunol. 2020 Jun 16;11:1446. doi: 10.3389/fimmu.2020.01446. eCollection 2020.
PubMed 32612617Vabret N, Britton GJ, Gruber C, Hegde S, Kim J, Kuksin M, Levantovsky R, Malle L, Moreira A, Park MD, Pia L, Risson E, Saffern M, Salome B, Esai Selvan M, Spindler MP, Tan J, van der Heide V, Gregory JK, Alexandropoulos K, Bhardwaj N, Brown BD, Greenbaum B, Gumus ZH, Homann D, Horowitz A, Kamphorst AO, Curotto de Lafaille MA, Mehandru S, Merad M, Samstein RM; Sinai Immunology Review Project. Immunology of COVID-19: Current State of the Science. Immunity. 2020 Jun 16;52(6):910-941. doi: 10.1016/j.immuni.2020.05.002. Epub 2020 May 6.
PubMed 32505227Liu J, Wu P, Gao F, Qi J, Kawana-Tachikawa A, Xie J, Vavricka CJ, Iwamoto A, Li T, Gao GF. Novel immunodominant peptide presentation strategy: a featured HLA-A*2402-restricted cytotoxic T-lymphocyte epitope stabilized by intrachain hydrogen bonds from severe acute respiratory syndrome coronavirus nucleocapsid protein. J Virol. 2010 Nov;84(22):11849-57. doi: 10.1128/JVI.01464-10. Epub 2010 Sep 15.
PubMed 20844028Henderson LA, Canna SW, Schulert GS, Volpi S, Lee PY, Kernan KF, Caricchio R, Mahmud S, Hazen MM, Halyabar O, Hoyt KJ, Han J, Grom AA, Gattorno M, Ravelli A, De Benedetti F, Behrens EM, Cron RQ, Nigrovic PA. On the Alert for Cytokine Storm: Immunopathology in COVID-19. Arthritis Rheumatol. 2020 Jul;72(7):1059-1063. doi: 10.1002/art.41285. Epub 2020 May 10.
PubMed 32293098Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing. Radiology. 2020 Aug;296(2):E41-E45. doi: 10.1148/radiol.2020200343. Epub 2020 Feb 12.
PubMed 32049601Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, Tao Q, Sun Z, Xia L. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. 2020 Aug;296(2):E32-E40. doi: 10.1148/radiol.2020200642. Epub 2020 Feb 26.
PubMed 32101510Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020 Apr 7;323(13):1239-1242. doi: 10.1001/jama.2020.2648. No abstract available.
PubMed 32091533Li X, Geng M, Peng Y, Meng L, Lu S. Molecular immune pathogenesis and diagnosis of COVID-19. J Pharm Anal. 2020 Apr;10(2):102-108. doi: 10.1016/j.jpha.2020.03.001. Epub 2020 Mar 5.
PubMed 32282863Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, Wang W, Song H, Huang B, Zhu N, Bi Y, Ma X, Zhan F, Wang L, Hu T, Zhou H, Hu Z, Zhou W, Zhao L, Chen J, Meng Y, Wang J, Lin Y, Yuan J, Xie Z, Ma J, Liu WJ, Wang D, Xu W, Holmes EC, Gao GF, Wu G, Chen W, Shi W, Tan W. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020 Feb 22;395(10224):565-574. doi: 10.1016/S0140-6736(20)30251-8. Epub 2020 Jan 30.
PubMed 32007145Halpin S, O'Connor R, Sivan M. Long COVID and chronic COVID syndromes. J Med Virol. 2021 Mar;93(3):1242-1243. doi: 10.1002/jmv.26587. Epub 2020 Oct 30. No abstract available.
PubMed 33034893Mendelson M, Nel J, Blumberg L, Madhi SA, Dryden M, Stevens W, Venter FWD. Long-COVID: An evolving problem with an extensive impact. S Afr Med J. 2020 Nov 23;111(1):10-12. doi: 10.7196/SAMJ.2020.v111i11.15433.
PubMed 33403997
Study at a glance
From the registry record, last updated by the sponsor on 3 Aug 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Assessment of the Influence of Clinical, Functional, Immunological, and Genetic Factors on the Severity of the Course of Coronavirus Infection With SARS-CoV-2 and Post Covid Syndrome
- ClinicalTrials.gov ID
- NCT04987853
- Acronym / sponsor ID
- version 1.0
- Conditions
- Covid19, Corona Virus Infection
- Keywords
- Post Covid syndrome, pneumonia, cardiology, genetic research, immunology
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 300 participants (estimated)
- Lead sponsor
- National Research Center for Cardiac Surgery, KazakhstanUniversity, hospital or other
- Collaborators
- Nazarbayev University Medical Center
- Study start
- 1 Jun 2021 (actual)
- Primary completion
- 1 Dec 2022 (estimated)
- Study completion
- 1 Jun 2023 (estimated)
- First posted
- 3 Aug 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
Objectives of the program:
- To determine the clinical and functional characteristics of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome. 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.
- To study the immunological profile of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.
- To study the genetic profile of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.
- Identify potential predictors of COVID-19 severity.
- To determine the markers that allows predicting the development of the Post Covid syndrome.
- 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
- EchoCG + strain
- CT scan of the lungs
- Holter
- SMAD
- Kidney ultrasound
- Ultrasound
- Doppler ultrasonography of veins and arteries
- Chalder Scale, EQ Questionnaire Table 1. Clinical and functional analysis
Neurological disorders:
- Neurological examination with the isolation of neurological syndromes (motor, cognitive impairments, sleep disorders, asthenic-depressive syndromes, etc.).
- Neuropsychological methods - research on the scales of anxiety and depression, MMSE, etc.
- Instrumental method - EEG, polysonography, ultrasound of the neck vessels, CT perfusion.
- Laboratory research methods:
- The study of antibodies to some neurospecific antigens - myelin basic protein (MBP), neurospecific enolase (NSE).
- Study of cellular immunity (CD3 +, CD4 +, CD8 +) and general indicators of humoral immunity (IgG, IgA, IgM, circulating immune complexes).
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 μl 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-α2, IFN-γ, IL -1α, IL-1β, 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-1α, MIP-1β, PDGF- AA, PDGF-AB / BB, RANTES, TGF-α, TNF-α, 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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Acute COVID patients | – | Diagnostic Test: Clinical and functional analysis, Diagnostic Test: Neurological analysis, Diagnostic Test: Immunological analysis:, Diagnostic Test: Genetic analysis:Patients in the acute phase of the course of the disease |
| Long Covid Patients | – | Diagnostic Test: Clinical and functional analysis, Diagnostic Test: Neurological analysis, Diagnostic Test: Immunological analysis:, Diagnostic Test: Genetic analysis:Patients with chronic symptoms after a previous Covid-19 (4-12 weeks) |
| Postcovid patients | – | Diagnostic Test: Clinical and functional analysis, Diagnostic Test: Neurological analysis, Diagnostic Test: Immunological analysis:, Diagnostic Test: Genetic analysis:Patients with chronic symptoms after a previous Covid-19 (more than 12 weeks) |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- 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.
Key inclusion criteria (3 listed)
- Age over 18 years old
- Patients with a history of coronavirus infection COVID-19 confirmed by PCR analysis
- Patients who signed informed consent to participate in the study
Key exclusion criteria (3 listed)
- Refusal to undergo diagnostic procedures determined by the research protocol.
- Evidence for preexisting interstitial lung disease.
- Participation in another study.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Clinical and functional analysisAlso: Immunological analysis, Genetic analysisGeneral 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 * EchoCG + strain * CT scan of the lungs * Holter * SMAD * Kidney ultrasound * Ultrasound * Doppler ultrasonography of veins and arteries * Chalder Scale, EQ Questionnaire | Diagnostic test | Acute COVID patients, Long Covid Patients, Postcovid patients |
| Neurological analysisNeurological examination with the isolation of neurological syndromes (motor, cognitive impairments, sleep disorders, asthenic-depressive syndromes, etc.). 2. Neuropsychological methods - research on the scales of anxiety and depression, MMSE, etc. 3. Instrumental method - EEG, polysonography, ultrasound of the neck vessels, CT perfusion. 4. Laboratory research methods: 1. The study of antibodies to some neurospecific antigens - myelin basic protein (MBP), neurospecific enolase (NSE). 2. Study of cellular immunity (CD3 +, CD4 +, CD8 +) and general indicators of humoral immunity (IgG, IgA, IgM, circulating immune complexes). | Diagnostic test | Acute COVID patients, Long Covid Patients, Postcovid patients |
| Immunological analysis:Also: Multiplex Immunoassay, Immunophenotyping of T-cell and B-cell subpopulationsA 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 | Diagnostic test | Acute COVID patients, Long Covid Patients, Postcovid patients |
| 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. | Diagnostic test | Acute COVID patients, Long Covid Patients, Postcovid patients |
Primary outcome
bioinformatic data analysis
Time frame: 24 months
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
the level of the immune response
Time frame: 24 months
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
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Aug 2021.
- Background: PubMed 32474885Soy M, Keser G, Atagunduz P, Tabak F, Atagunduz I, Kayhan S. Cytokine storm in COVID-19: pathogenesis and overview of anti-inflammatory agents used in treatment. Clin Rheumatol. 2020 Jul;39(7):2085-2094. doi: 10.1007/s10067-020-05190-5. Epub 2020 May 30.
- Results publication: PubMed 33199918Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, Si HR, Zhu Y, Li B, Huang CL, Chen HD, Chen J, Luo Y, Guo H, Jiang RD, Liu MQ, Chen Y, Shen XR, Wang X, Zheng XS, Zhao K, Chen QJ, Deng F, Liu LL, Yan B, Zhan FX, Wang YY, Xiao GF, Shi ZL. Addendum: A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020 Dec;588(7836):E6. doi: 10.1038/s41586-020-2951-z. No abstract available.
- Results publication: PubMed 27344959de Wit E, van Doremalen N, Falzarano D, Munster VJ. SARS and MERS: recent insights into emerging coronaviruses. Nat Rev Microbiol. 2016 Aug;14(8):523-34. doi: 10.1038/nrmicro.2016.81. Epub 2016 Jun 27.
- Results publication: PubMed 31986264Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24.
- Results publication: PubMed 32612617Ragab D, Salah Eldin H, Taeimah M, Khattab R, Salem R. The COVID-19 Cytokine Storm; What We Know So Far. Front Immunol. 2020 Jun 16;11:1446. doi: 10.3389/fimmu.2020.01446. eCollection 2020.
- Results publication: PubMed 32505227Vabret N, Britton GJ, Gruber C, Hegde S, Kim J, Kuksin M, Levantovsky R, Malle L, Moreira A, Park MD, Pia L, Risson E, Saffern M, Salome B, Esai Selvan M, Spindler MP, Tan J, van der Heide V, Gregory JK, Alexandropoulos K, Bhardwaj N, Brown BD, Greenbaum B, Gumus ZH, Homann D, Horowitz A, Kamphorst AO, Curotto de Lafaille MA, Mehandru S, Merad M, Samstein RM; Sinai Immunology Review Project. Immunology of COVID-19: Current State of the Science. Immunity. 2020 Jun 16;52(6):910-941. doi: 10.1016/j.immuni.2020.05.002. Epub 2020 May 6.
- Results publication: PubMed 20844028Liu J, Wu P, Gao F, Qi J, Kawana-Tachikawa A, Xie J, Vavricka CJ, Iwamoto A, Li T, Gao GF. Novel immunodominant peptide presentation strategy: a featured HLA-A*2402-restricted cytotoxic T-lymphocyte epitope stabilized by intrachain hydrogen bonds from severe acute respiratory syndrome coronavirus nucleocapsid protein. J Virol. 2010 Nov;84(22):11849-57. doi: 10.1128/JVI.01464-10. Epub 2010 Sep 15.
- Results publication: PubMed 32293098Henderson LA, Canna SW, Schulert GS, Volpi S, Lee PY, Kernan KF, Caricchio R, Mahmud S, Hazen MM, Halyabar O, Hoyt KJ, Han J, Grom AA, Gattorno M, Ravelli A, De Benedetti F, Behrens EM, Cron RQ, Nigrovic PA. On the Alert for Cytokine Storm: Immunopathology in COVID-19. Arthritis Rheumatol. 2020 Jul;72(7):1059-1063. doi: 10.1002/art.41285. Epub 2020 May 10.
- Results publication: PubMed 32049601Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing. Radiology. 2020 Aug;296(2):E41-E45. doi: 10.1148/radiol.2020200343. Epub 2020 Feb 12.
- Results publication: PubMed 32101510Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, Tao Q, Sun Z, Xia L. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. 2020 Aug;296(2):E32-E40. doi: 10.1148/radiol.2020200642. Epub 2020 Feb 26.
- Results publication: PubMed 32091533Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020 Apr 7;323(13):1239-1242. doi: 10.1001/jama.2020.2648. No abstract available.
- Results publication: PubMed 32282863Li X, Geng M, Peng Y, Meng L, Lu S. Molecular immune pathogenesis and diagnosis of COVID-19. J Pharm Anal. 2020 Apr;10(2):102-108. doi: 10.1016/j.jpha.2020.03.001. Epub 2020 Mar 5.
- 3\. Coronavirus Update (Live): 106,685,660 Cases and 2,327,308 Deaths from COVID-19 Virus Pandemic - WorldometerLink provided by the sponsor.
- 19\. Overview \| COVID-19 rapid guideline: managing the long-term effects of COVID-19 \| Guidance \| NICELink provided by the sponsor.
- Individual participant dataSharing planned: Yes. all IPD that underlie results in a publication
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Makhabbat Sansyzbaeva principal investigator
Chairman of the Board of "National Research Cardiac Surgery Centre" JSC
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Covid19 and Corona Virus Infection, run by National Research Center for Cardiac Surgery, Kazakhstan at 1 site in Kazakhstan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 3 Aug 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Kazakhstan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Makhabbat Sansyzbaeva, PhD, MD (+77055965060 ext. +77172703153, cardiacsurgeryres@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
bioinformatic data analysis (time frame: 24 months). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04987853, which also lists 17 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Aug 2021.