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Identification of potential biomarkers of vaccine inflammation in mice

Systems vaccinology approaches have been used successfully to define early signatures of the vaccine-induced immune response. However, the possibility that transcriptomics can also identify a correlate or surrogate for vaccine inflammation has not been fully explored. We have compared four licensed...

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Autores principales: McKay, Paul F, Cizmeci, Deniz, Aldon, Yoann, Maertzdorf, Jeroen, Weiner, January, Kaufmann, Stefan HE, Lewis, David JM, van den Berg, Robert A, Del Giudice, Giuseppe, Shattock, Robin J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555592/
https://www.ncbi.nlm.nih.gov/pubmed/31084714
http://dx.doi.org/10.7554/eLife.46149
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author McKay, Paul F
Cizmeci, Deniz
Aldon, Yoann
Maertzdorf, Jeroen
Weiner, January
Kaufmann, Stefan HE
Lewis, David JM
van den Berg, Robert A
Del Giudice, Giuseppe
Shattock, Robin J
author_facet McKay, Paul F
Cizmeci, Deniz
Aldon, Yoann
Maertzdorf, Jeroen
Weiner, January
Kaufmann, Stefan HE
Lewis, David JM
van den Berg, Robert A
Del Giudice, Giuseppe
Shattock, Robin J
author_sort McKay, Paul F
collection PubMed
description Systems vaccinology approaches have been used successfully to define early signatures of the vaccine-induced immune response. However, the possibility that transcriptomics can also identify a correlate or surrogate for vaccine inflammation has not been fully explored. We have compared four licensed vaccines with known safety profiles, as well as three agonists of Toll-like receptors (TLRs) with known inflammatory potential, to elucidate the transcriptomic profile of an acceptable response to vaccination versus that of an inflammatory reaction. In mice, we looked at the transcriptomic changes in muscle at the injection site, the lymph node that drained the muscle, and the peripheral blood mononuclear cells (PBMCs)isolated from the circulating blood from 4 hr after injection and over the next week. A detailed examination and comparative analysis of these transcriptomes revealed a set of novel biomarkers that are reflective of inflammation after vaccination. These biomarkers are readily measurable in the peripheral blood, providing useful surrogates of inflammation, and provide a way to select candidates with acceptable safety profiles.
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spelling pubmed-65555922019-06-11 Identification of potential biomarkers of vaccine inflammation in mice McKay, Paul F Cizmeci, Deniz Aldon, Yoann Maertzdorf, Jeroen Weiner, January Kaufmann, Stefan HE Lewis, David JM van den Berg, Robert A Del Giudice, Giuseppe Shattock, Robin J eLife Immunology and Inflammation Systems vaccinology approaches have been used successfully to define early signatures of the vaccine-induced immune response. However, the possibility that transcriptomics can also identify a correlate or surrogate for vaccine inflammation has not been fully explored. We have compared four licensed vaccines with known safety profiles, as well as three agonists of Toll-like receptors (TLRs) with known inflammatory potential, to elucidate the transcriptomic profile of an acceptable response to vaccination versus that of an inflammatory reaction. In mice, we looked at the transcriptomic changes in muscle at the injection site, the lymph node that drained the muscle, and the peripheral blood mononuclear cells (PBMCs)isolated from the circulating blood from 4 hr after injection and over the next week. A detailed examination and comparative analysis of these transcriptomes revealed a set of novel biomarkers that are reflective of inflammation after vaccination. These biomarkers are readily measurable in the peripheral blood, providing useful surrogates of inflammation, and provide a way to select candidates with acceptable safety profiles. eLife Sciences Publications, Ltd 2019-05-14 /pmc/articles/PMC6555592/ /pubmed/31084714 http://dx.doi.org/10.7554/eLife.46149 Text en © 2019, McKay et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Immunology and Inflammation
McKay, Paul F
Cizmeci, Deniz
Aldon, Yoann
Maertzdorf, Jeroen
Weiner, January
Kaufmann, Stefan HE
Lewis, David JM
van den Berg, Robert A
Del Giudice, Giuseppe
Shattock, Robin J
Identification of potential biomarkers of vaccine inflammation in mice
title Identification of potential biomarkers of vaccine inflammation in mice
title_full Identification of potential biomarkers of vaccine inflammation in mice
title_fullStr Identification of potential biomarkers of vaccine inflammation in mice
title_full_unstemmed Identification of potential biomarkers of vaccine inflammation in mice
title_short Identification of potential biomarkers of vaccine inflammation in mice
title_sort identification of potential biomarkers of vaccine inflammation in mice
topic Immunology and Inflammation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555592/
https://www.ncbi.nlm.nih.gov/pubmed/31084714
http://dx.doi.org/10.7554/eLife.46149
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