Martínez-Pérez, A;
Igea, A;
Estévez, O;
Ferreira, CM;
Torrado, E;
Castro, AG;
Fernández, C;
Spetz, A-L;
Adam, L;
López González, M;
et al.
Martínez-Pérez, A; Igea, A; Estévez, O; Ferreira, CM; Torrado, E; Castro, AG; Fernández, C; Spetz, A-L; Adam, L; López González, M; Singh, M; Reljic, R; González-Fernández, Á
(2021)
Changes in the Immune Phenotype and Gene Expression Profile Driven by a Novel Tuberculosis Nanovaccine: Short and Long-Term Post-immunization.
Front Immunol, 11.
p. 589863.
ISSN 1664-3224
https://doi.org/10.3389/fimmu.2020.589863
SGUL Authors: Reljic, Rajko
Abstract
Deciphering protection mechanisms against Mycobacterium tuberculosis (Mtb) remains a critical challenge for the development of new vaccines and therapies. We analyze the phenotypic and transcriptomic profile in lung of a novel tuberculosis (TB) nanoparticle-based boosting mucosal vaccine Nano-FP1, which combined to BCG priming conferred enhanced protection in mice challenged with low-dose Mtb. We analyzed the vaccine profile and efficacy at short (2 weeks), medium (7 weeks) and long term (11 weeks) post-vaccination, and compared it to ineffective Nano-FP2 vaccine. We observed several changes in the mouse lung environment by both nanovaccines, which are lost shortly after boosting. Additional boosting at long-term (14 weeks) recovered partially cell populations and transcriptomic profile, but not enough to enhance protection to infection. An increase in both total and resident memory CD4 and CD8 T cells, but no pro-inflammatory cytokine levels, were correlated with better protection. A unique gene expression pattern with differentially expressed genes revealed potential pathways associated to the immune defense against Mtb. Our findings provide an insight into the critical immune responses that need to be considered when assessing the effectiveness of a novel TB vaccine.
Item Type: |
Article
|
Additional Information: |
Copyright © 2021 Martínez-Pérez, Igea, Estévez, Ferreira, Torrado, Castro, Fernández, Spetz, Adam, López González, Singh, Reljic and González-Fernández. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Keywords: |
Mycobacterium tuberculosis, immune protection, lung infection, nanovaccines, transcriptomic analysis, Mycobacterium tuberculosis, nanovaccines, immune protection, lung infection, transcriptomic analysis |
SGUL Research Institute / Research Centre: |
Academic Structure > Infection and Immunity Research Institute (INII) |
Journal or Publication Title: |
Front Immunol |
ISSN: |
1664-3224 |
Language: |
eng |
Dates: |
Date | Event |
---|
28 January 2021 | Published | 3 December 2020 | Accepted |
|
Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
Project ID | Funder | Funder ID |
---|
643558 | Horizon 2020 | UNSPECIFIED | PTDC/SAU-INF/28463/2017 | Foundation for Science and Technology | UNSPECIFIED | UIDB/50026/2020 | Foundation for Science and Technology | UNSPECIFIED | ORTE-01-0145-FEDER-000013 | European Regional Development Fund | UNSPECIFIED | NORTE-01-0145-FEDER-000023 | European Regional Development Fund | UNSPECIFIED | ED431C 2016/041 | Xunta de Galicia | UNSPECIFIED | ED431G2019/06 | European Regional Development Fund | UNSPECIFIED | ED481A-2018/230 | Xunta de Galicia | UNSPECIFIED | IF/01390/2014 | Foundation for Science and Technology | UNSPECIFIED | PD/BD/137447/2018 | Foundation for Science and Technology | UNSPECIFIED |
|
PubMed ID: |
33584654 |
Web of Science ID: |
WOS:000616805200001 |
![](http://static.pubmed.gov/portal/portal3rc.fcgi/2745237/img/27842) |
Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/113035 |
Publisher's version: |
https://doi.org/10.3389/fimmu.2020.589863 |
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