Comparative Genetic and Immune Response Analysis of Different COVID-19 Vaccine Candidates Using Multi-OMICS Approach
COVID 19-VAC
1 other identifier
interventional
110
1 country
1
Brief Summary
Reaction of the immune system and the body to a Coronavirus-19 (COVID-19) vaccination is so different and ultimately unpredictable has not yet been clarified. It is also not yet known why people who have been vaccinated react to a vaccination with sometimes serious side effects. Using high-throughput dissecting (analytical) methods with the suffix OMICS ("Multi-OMICS" methods, collective characterization and quantification of pools of biological molecules) used in this study on the basis of blood tests, data from several molecular levels can be recorded and a holistic picture can be created from this, which can depict the connections between these levels.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jun 2021
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 30, 2021
CompletedFirst Posted
Study publicly available on registry
May 5, 2021
CompletedStudy Start
First participant enrolled
June 10, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2024
CompletedNovember 29, 2023
November 1, 2023
3.1 years
April 30, 2021
November 28, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
Toll Like Receptor 7 (TLR7)
TLR7 (used method: Whole Genome Sequencing (WGS) using ordinal logistic regression) measured in Single Nucleotide Polymorphism (SNP)
Day 1-3 before 1. vaccination
Toll Like Receptor 7 (TLR7)
TLR7 (used method: Whole Genome Sequencing (WGS) using ordinal logistic regression) measured in Single Nucleotide Polymorphism (SNP)
Day 7-10 after 1. vaccination
Toll Like Receptor 7 (TLR7)
TLR7 (used method: Whole Genome Sequencing (WGS) using ordinal logistic regression) measured in Single Nucleotide Polymorphism (SNP)
Day 1-3 before 2. vaccination
Toll Like Receptor 7 (TLR7)
TLR7 (used method: Whole Genome Sequencing (WGS) using ordinal logistic regression) measured in Single Nucleotide Polymorphism (SNP)
Day 7-10 after 2. vaccination
Toll Like Receptor 7 (TLR7)
TLR7 (used method: Whole Genome Sequencing (WGS) using ordinal logistic regression) measured in Single Nucleotide Polymorphism (SNP)
Month 6-12 after 2. vaccination
Study Arms (2)
Healthy adults
EXPERIMENTALHealthy adults who had no infection with SARS-CoV-2 virus before or had recovered from COVID-19 and plan to take the various COVID-19 experimental vaccine candidates or had already one dose of COVID-19 vaccine and are going to have the second vaccination with a different vaccine. Study related procedures: 1-3 days before application of the first vaccine dose (blood sample 1) 7-10 days after first dose of vaccine (blood sample 2), 1-3 days before second dose of vaccine (blood sample 3) 7-10 days after second vaccine dose (blood sample 4) 6-12 Months after second vaccine dose (blood sample 5, optional) Next Generation Sequencing (NGS) analysis and other omics analysis (transcriptomics, proteomics, metabolomics).
COVID-19 vaccinated subjects with side effects
EXPERIMENTALCOVID-19 vaccinated subjects with diagnosed central thrombosis, anaphylactic shock or other major or minor complications such as dermatitis. Study related procedures: Blood sample will be taken without time frame 1-3 days after admission to the hospital (severe side effects) or consulting a doctor (mild side effects) (blood sample 1) during treatment (blood sample 2) After subject is recovered (blood sample 3) 6-12 Months after recovering (blood sample 4, optional) Next Generation Sequencing (NGS) analysis and other omics analysis (transcriptomics, proteomics, metabolomics).
Interventions
Measurement of gene expression in immune cells (Human Peripheral Blood Mononuclear Cell (PBMCs) or total blood) using functional genomics, proteomics, metabolomics and lipidomics tools and compare the dynamics of immune response before and after vaccination against COVID-19.
Eligibility Criteria
You may qualify if:
- Group 1
- Healthy donors (HD) who had recovered from COVID-19 disease and/or HD who did not have COVID-19 disease in the past
- and who will receive the COVID-19 vaccine or a COVID19 vaccine candidate or other protective vaccines
- HD who did receive one dose of a specific COVID19 vaccine but who will receive a different vac-cine for her/his second vaccination for completion of the immunization
- Age \> 18 years
- Group 2
- Vaccinated subjects who are diagnosed with central thrombosis, anaphylactic shock or other major or minor complications such as atopic dermatitis (for example) after vaccination.
- Age \> 18 years
You may not qualify if:
- Group 1 and 2
- \- Missing informed consent of the subject
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University Hospital Tübingen
Tübingen, 72076, Germany
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Olaf Rieß
University Hospital Tübingen
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 30, 2021
First Posted
May 5, 2021
Study Start
June 10, 2021
Primary Completion
July 1, 2024
Study Completion
July 1, 2024
Last Updated
November 29, 2023
Record last verified: 2023-11
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- ANALYTIC CODE
- Time Frame
- Data will become available after analysis and unlimited.
The COVID19-VAC study will provide data in a pseudonymised manner to national and international databases set up to increase the diagnostic yield through advanced analysis tools and matchmaking against other cohorts