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Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines

Inactivated vaccines are one of the most effective strategies for controlling the coronavirus disease 2019 (COVID-19) pandemic. However, the response genes for the protective effect of inactivated vaccines are still unclear. Herein, we analysed the neutralization antibody responses elicited by vacci...

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Autores principales: Chen, Hongquan, Zhang, Lu, Xu, Chen, Shen, Xiaoyun, Lou, Jiazhou, Wu, Shengjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122457/
https://www.ncbi.nlm.nih.gov/pubmed/37096063
http://dx.doi.org/10.7717/peerj.15155
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author Chen, Hongquan
Zhang, Lu
Xu, Chen
Shen, Xiaoyun
Lou, Jiazhou
Wu, Shengjun
author_facet Chen, Hongquan
Zhang, Lu
Xu, Chen
Shen, Xiaoyun
Lou, Jiazhou
Wu, Shengjun
author_sort Chen, Hongquan
collection PubMed
description Inactivated vaccines are one of the most effective strategies for controlling the coronavirus disease 2019 (COVID-19) pandemic. However, the response genes for the protective effect of inactivated vaccines are still unclear. Herein, we analysed the neutralization antibody responses elicited by vaccine serum and carried out transcriptome sequencing of RNAs isolated from the PBMCs of 29 medical staff receiving two doses of the CoronaVac vaccine. The results showed that SARS-CoV-2 neutralization antibody titers varied considerably among individuals, and revealed that many innate immune pathways were activated after vaccination. Furthermore, the blue module revealed that NRAS, YWHAB, SMARCA5, PPP1CC and CDC5L may be correlated with the protective effect of the inactivated vaccine. Additionally, MAPK1, CDC42, PPP2CA, EP300, YWHAZ and NRAS were demonstrated as the hub genes having a significant association with vaccines. These findings provide a basis for understanding the molecular mechanism of the host immune response induced by inactivated vaccines.
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spelling pubmed-101224572023-04-23 Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines Chen, Hongquan Zhang, Lu Xu, Chen Shen, Xiaoyun Lou, Jiazhou Wu, Shengjun PeerJ Genomics Inactivated vaccines are one of the most effective strategies for controlling the coronavirus disease 2019 (COVID-19) pandemic. However, the response genes for the protective effect of inactivated vaccines are still unclear. Herein, we analysed the neutralization antibody responses elicited by vaccine serum and carried out transcriptome sequencing of RNAs isolated from the PBMCs of 29 medical staff receiving two doses of the CoronaVac vaccine. The results showed that SARS-CoV-2 neutralization antibody titers varied considerably among individuals, and revealed that many innate immune pathways were activated after vaccination. Furthermore, the blue module revealed that NRAS, YWHAB, SMARCA5, PPP1CC and CDC5L may be correlated with the protective effect of the inactivated vaccine. Additionally, MAPK1, CDC42, PPP2CA, EP300, YWHAZ and NRAS were demonstrated as the hub genes having a significant association with vaccines. These findings provide a basis for understanding the molecular mechanism of the host immune response induced by inactivated vaccines. PeerJ Inc. 2023-04-19 /pmc/articles/PMC10122457/ /pubmed/37096063 http://dx.doi.org/10.7717/peerj.15155 Text en ©2023 Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Genomics
Chen, Hongquan
Zhang, Lu
Xu, Chen
Shen, Xiaoyun
Lou, Jiazhou
Wu, Shengjun
Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines
title Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines
title_full Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines
title_fullStr Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines
title_full_unstemmed Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines
title_short Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines
title_sort analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated covid-19 vaccines
topic Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122457/
https://www.ncbi.nlm.nih.gov/pubmed/37096063
http://dx.doi.org/10.7717/peerj.15155
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