Publication
Title
Transcriptome profiling in blood before and after hepatitis B vaccination shows significant differences in gene expression between responders and non-responders
Author
Abstract
Introduction As the hepatitis B virus is widely spread and responsible for considerable morbidity and mortality, WHO recommends vaccination from infancy to reduce acute infection and chronic carriers. However, current subunit vaccines are not 100% efficacious and leave 510% of recipients unprotected. Methods To evaluate immune responses after Engerix-B vaccination, we determined, using mRNA-sequencing, whole blood early gene expression signatures before, at day 3 and day 7 after the first dose and correlated this with the resulting antibody titer after two vaccine doses. Results Our results indicate that immune related genes are differentially expressed in responders mostly at day 3 and in non-responders mostly at day 7. The most remarkable difference between responders and non-responders were the differentially expressed genes before vaccination. The granulin precursor gene (GRN) was significantly downregulated in responders while upregulated in non-responders at day 0. Furthermore, absolute granulocytes numbers were significantly higher in non-responders at day 0. Conclusion The non-responders already showed an activated state of the immune system before vaccination. Furthermore, after vaccination, they exhibited a delayed and partial immune response in comparison to the responders. Our data may indicate that the baseline and untriggered immune system can influence the response upon hepatitis B vaccination.
Language
English
Source (journal)
Vaccine / International Society for Vaccines. - Amsterdam
Publication
Amsterdam : 2018
ISSN
0264-410X
Volume/pages
36:42(2018), p. 6282-6289
ISI
000447479200005
Pubmed ID
30205979
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Predicting Immune responses by Modeling immunoSequencing data (PIMS).
Development of immunoinformatics tools for the discovery of T-cell epitope recognition rules.
Translational and Transdisciplinary research in Modeling Infectious Diseases (TransMID).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 09.11.2018
Last edited 15.07.2021
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