System vaccinology for the evaluation of influenza vaccine safety by multiplex gene detection of novel biomarkers in a preclinical study and batch release test
Vaccines are beneficial and universal tools to prevent infectious disease. Thus, safety of vaccines is strictly evaluated in the preclinical phase of trials and every vaccine batch must be tested by the National Control Laboratories according to the guidelines published by each country. Despite many...
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description | Vaccines are beneficial and universal tools to prevent infectious disease. Thus, safety of vaccines is strictly evaluated in the preclinical phase of trials and every vaccine batch must be tested by the National Control Laboratories according to the guidelines published by each country. Despite many vaccine production platforms and methods, animal testing for safety evaluation is unchanged thus far. We recently developed a systems biological approach to vaccine safety evaluation where identification of specific biomarkers in a rat pre-clinical study evaluated the safety of vaccines for pandemic H5N1 influenza including Irf7, Lgals9, Lgalsbp3, Cxcl11, Timp1, Tap2, Psmb9, Psme1, Tapbp, C2, Csf1, Mx2, Zbp1, Ifrd1, Trafd1, Cxcl9, β2m, Npc1, Ngfr and Ifi47. The current study evaluated whether these 20 biomarkers could evaluate the safety, batch-to-batch and manufacturer-to-manufacturer consistency of seasonal trivalent influenza vaccine using a multiplex gene detection system. When we evaluated the influenza HA vaccine (HAv) from four different manufactures, the biomarker analysis correlated to findings from conventional animal use tests, such as abnormal toxicity test. In addition, sensitivity of toxicity detection and differences in HAvs were higher and more accurate than with conventional methods. Despite a slight decrease in body weight caused by HAv from manufacturer B that was not statistically significant, our results suggest that HAv from manufacturer B is significantly different than the other HAvs tested with regard to Lgals3bp, Tapbp, Lgals9, Irf7 and C2 gene expression in rat lungs. Using the biomarkers confirmed in this study, we predicted batch-to-batch consistency and safety of influenza vaccines within 2 days compared with the conventional safety test, which takes longer. These biomarkers will facilitate the future development of new influenza vaccines and provide an opportunity to develop in vitro methods of evaluating batch-to-batch consistency and vaccine safety as an alternative to animal testing. |
doi_str_mv | 10.1371/journal.pone.0101835 |
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Thus, safety of vaccines is strictly evaluated in the preclinical phase of trials and every vaccine batch must be tested by the National Control Laboratories according to the guidelines published by each country. Despite many vaccine production platforms and methods, animal testing for safety evaluation is unchanged thus far. We recently developed a systems biological approach to vaccine safety evaluation where identification of specific biomarkers in a rat pre-clinical study evaluated the safety of vaccines for pandemic H5N1 influenza including Irf7, Lgals9, Lgalsbp3, Cxcl11, Timp1, Tap2, Psmb9, Psme1, Tapbp, C2, Csf1, Mx2, Zbp1, Ifrd1, Trafd1, Cxcl9, β2m, Npc1, Ngfr and Ifi47. The current study evaluated whether these 20 biomarkers could evaluate the safety, batch-to-batch and manufacturer-to-manufacturer consistency of seasonal trivalent influenza vaccine using a multiplex gene detection system. When we evaluated the influenza HA vaccine (HAv) from four different manufactures, the biomarker analysis correlated to findings from conventional animal use tests, such as abnormal toxicity test. In addition, sensitivity of toxicity detection and differences in HAvs were higher and more accurate than with conventional methods. Despite a slight decrease in body weight caused by HAv from manufacturer B that was not statistically significant, our results suggest that HAv from manufacturer B is significantly different than the other HAvs tested with regard to Lgals3bp, Tapbp, Lgals9, Irf7 and C2 gene expression in rat lungs. Using the biomarkers confirmed in this study, we predicted batch-to-batch consistency and safety of influenza vaccines within 2 days compared with the conventional safety test, which takes longer. These biomarkers will facilitate the future development of new influenza vaccines and provide an opportunity to develop in vitro methods of evaluating batch-to-batch consistency and vaccine safety as an alternative to animal testing.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0101835</identifier><identifier>PMID: 25010690</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Animal research ; Animals ; Avian flu ; Avian influenza ; Biological markers ; Biological products ; Biology and Life Sciences ; Biomarkers ; Biomarkers - metabolism ; Body weight ; C2 gene ; Clinical trials ; Consistency ; Correlation analysis ; CXCL11 protein ; Detection equipment ; Encephalitis ; Evaluation ; Gene expression ; Genes ; In vitro methods and tests ; Infectious diseases ; Influenza ; Influenza A Virus, H1N1 Subtype - immunology ; Influenza A Virus, H3N2 Subtype - immunology ; Influenza A Virus, H5N1 Subtype - immunology ; Influenza vaccines ; Influenza Vaccines - adverse effects ; Interferon regulatory factor 7 ; Laboratories ; Lungs ; Male ; Medical research ; Medicine and Health Sciences ; Multiplexing ; Npc1 protein ; Pandemics ; Production methods ; Public health ; Rats ; Research and Analysis Methods ; Safety ; Safety and security measures ; Safety research ; Seasons ; Statistical analysis ; Tissue inhibitor of metalloproteinase 1 ; Toxicity ; Toxicity testing ; Toxicity Tests - methods ; Transcriptome - immunology ; Vaccines ; Whooping cough</subject><ispartof>PloS one, 2014-07, Vol.9 (7), p.e101835</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Mizukami et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Mizukami et al 2014 Mizukami et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-7955d27c3b574a479009b55ac908a50e787ee4bbc7a676113461b84a7e568ccc3</citedby><cites>FETCH-LOGICAL-c758t-7955d27c3b574a479009b55ac908a50e787ee4bbc7a676113461b84a7e568ccc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092028/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092028/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53770,53772,79347,79348</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25010690$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kang, Sang-Moo</contributor><creatorcontrib>Mizukami, Takuo</creatorcontrib><creatorcontrib>Momose, Haruka</creatorcontrib><creatorcontrib>Kuramitsu, Madoka</creatorcontrib><creatorcontrib>Takizawa, Kazuya</creatorcontrib><creatorcontrib>Araki, Kumiko</creatorcontrib><creatorcontrib>Furuhata, Keiko</creatorcontrib><creatorcontrib>Ishii, Ken J</creatorcontrib><creatorcontrib>Hamaguchi, Isao</creatorcontrib><creatorcontrib>Yamaguchi, Kazunari</creatorcontrib><title>System vaccinology for the evaluation of influenza vaccine safety by multiplex gene detection of novel biomarkers in a preclinical study and batch release test</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Vaccines are beneficial and universal tools to prevent infectious disease. Thus, safety of vaccines is strictly evaluated in the preclinical phase of trials and every vaccine batch must be tested by the National Control Laboratories according to the guidelines published by each country. Despite many vaccine production platforms and methods, animal testing for safety evaluation is unchanged thus far. We recently developed a systems biological approach to vaccine safety evaluation where identification of specific biomarkers in a rat pre-clinical study evaluated the safety of vaccines for pandemic H5N1 influenza including Irf7, Lgals9, Lgalsbp3, Cxcl11, Timp1, Tap2, Psmb9, Psme1, Tapbp, C2, Csf1, Mx2, Zbp1, Ifrd1, Trafd1, Cxcl9, β2m, Npc1, Ngfr and Ifi47. The current study evaluated whether these 20 biomarkers could evaluate the safety, batch-to-batch and manufacturer-to-manufacturer consistency of seasonal trivalent influenza vaccine using a multiplex gene detection system. When we evaluated the influenza HA vaccine (HAv) from four different manufactures, the biomarker analysis correlated to findings from conventional animal use tests, such as abnormal toxicity test. In addition, sensitivity of toxicity detection and differences in HAvs were higher and more accurate than with conventional methods. Despite a slight decrease in body weight caused by HAv from manufacturer B that was not statistically significant, our results suggest that HAv from manufacturer B is significantly different than the other HAvs tested with regard to Lgals3bp, Tapbp, Lgals9, Irf7 and C2 gene expression in rat lungs. Using the biomarkers confirmed in this study, we predicted batch-to-batch consistency and safety of influenza vaccines within 2 days compared with the conventional safety test, which takes longer. These biomarkers will facilitate the future development of new influenza vaccines and provide an opportunity to develop in vitro methods of evaluating batch-to-batch consistency and vaccine safety as an alternative to animal testing.</description><subject>Analysis</subject><subject>Animal research</subject><subject>Animals</subject><subject>Avian flu</subject><subject>Avian influenza</subject><subject>Biological markers</subject><subject>Biological products</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers - metabolism</subject><subject>Body weight</subject><subject>C2 gene</subject><subject>Clinical trials</subject><subject>Consistency</subject><subject>Correlation analysis</subject><subject>CXCL11 protein</subject><subject>Detection equipment</subject><subject>Encephalitis</subject><subject>Evaluation</subject><subject>Gene expression</subject><subject>Genes</subject><subject>In vitro methods and tests</subject><subject>Infectious diseases</subject><subject>Influenza</subject><subject>Influenza A Virus, H1N1 Subtype - immunology</subject><subject>Influenza A Virus, H3N2 Subtype - immunology</subject><subject>Influenza A Virus, H5N1 Subtype - immunology</subject><subject>Influenza vaccines</subject><subject>Influenza Vaccines - adverse effects</subject><subject>Interferon regulatory factor 7</subject><subject>Laboratories</subject><subject>Lungs</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Multiplexing</subject><subject>Npc1 protein</subject><subject>Pandemics</subject><subject>Production methods</subject><subject>Public health</subject><subject>Rats</subject><subject>Research and Analysis Methods</subject><subject>Safety</subject><subject>Safety and security measures</subject><subject>Safety research</subject><subject>Seasons</subject><subject>Statistical analysis</subject><subject>Tissue inhibitor of metalloproteinase 1</subject><subject>Toxicity</subject><subject>Toxicity testing</subject><subject>Toxicity Tests - methods</subject><subject>Transcriptome - 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Thus, safety of vaccines is strictly evaluated in the preclinical phase of trials and every vaccine batch must be tested by the National Control Laboratories according to the guidelines published by each country. Despite many vaccine production platforms and methods, animal testing for safety evaluation is unchanged thus far. We recently developed a systems biological approach to vaccine safety evaluation where identification of specific biomarkers in a rat pre-clinical study evaluated the safety of vaccines for pandemic H5N1 influenza including Irf7, Lgals9, Lgalsbp3, Cxcl11, Timp1, Tap2, Psmb9, Psme1, Tapbp, C2, Csf1, Mx2, Zbp1, Ifrd1, Trafd1, Cxcl9, β2m, Npc1, Ngfr and Ifi47. The current study evaluated whether these 20 biomarkers could evaluate the safety, batch-to-batch and manufacturer-to-manufacturer consistency of seasonal trivalent influenza vaccine using a multiplex gene detection system. When we evaluated the influenza HA vaccine (HAv) from four different manufactures, the biomarker analysis correlated to findings from conventional animal use tests, such as abnormal toxicity test. In addition, sensitivity of toxicity detection and differences in HAvs were higher and more accurate than with conventional methods. Despite a slight decrease in body weight caused by HAv from manufacturer B that was not statistically significant, our results suggest that HAv from manufacturer B is significantly different than the other HAvs tested with regard to Lgals3bp, Tapbp, Lgals9, Irf7 and C2 gene expression in rat lungs. Using the biomarkers confirmed in this study, we predicted batch-to-batch consistency and safety of influenza vaccines within 2 days compared with the conventional safety test, which takes longer. These biomarkers will facilitate the future development of new influenza vaccines and provide an opportunity to develop in vitro methods of evaluating batch-to-batch consistency and vaccine safety as an alternative to animal testing.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25010690</pmid><doi>10.1371/journal.pone.0101835</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2014-07, Vol.9 (7), p.e101835 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1544377813 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS)(OpenAccess); PubMed Central; Free Full-Text Journals in Chemistry; EZB Electronic Journals Library |
subjects | Analysis Animal research Animals Avian flu Avian influenza Biological markers Biological products Biology and Life Sciences Biomarkers Biomarkers - metabolism Body weight C2 gene Clinical trials Consistency Correlation analysis CXCL11 protein Detection equipment Encephalitis Evaluation Gene expression Genes In vitro methods and tests Infectious diseases Influenza Influenza A Virus, H1N1 Subtype - immunology Influenza A Virus, H3N2 Subtype - immunology Influenza A Virus, H5N1 Subtype - immunology Influenza vaccines Influenza Vaccines - adverse effects Interferon regulatory factor 7 Laboratories Lungs Male Medical research Medicine and Health Sciences Multiplexing Npc1 protein Pandemics Production methods Public health Rats Research and Analysis Methods Safety Safety and security measures Safety research Seasons Statistical analysis Tissue inhibitor of metalloproteinase 1 Toxicity Toxicity testing Toxicity Tests - methods Transcriptome - immunology Vaccines Whooping cough |
title | System vaccinology for the evaluation of influenza vaccine safety by multiplex gene detection of novel biomarkers in a preclinical study and batch release test |
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