Literature DB >> 28838806

Evaluation of marker gene expression as a potential predictive marker of leukopenic toxicity for inactivated influenza vaccines.

Eita Sasaki1, Haruka Momose1, Yuki Hiradate1, Keiko Furuhata1, Mamiko Takai1, Kazunari Kamachi2, Hideki Asanuma3, Ken J Ishii4, Takuo Mizukami5, Isao Hamaguchi1.   

Abstract

The leukopenic toxicity test (LTT) is used to evaluate the safety and lot-to-lot consistency of influenza hemagglutinin split vaccine (HAv) and is included in the Japanese Minimum Requirements for Biological Products. LTT assesses the reduced leukocyte levels in murine peripheral blood after HAv administration. However, they require large numbers of animals, and therefore it would be beneficial to develop a more accurate and sensitive alternative method. In this study, we selected biomarkers of leukocyte reduction from 18 previously identified marker genes that were associated with an abnormal toxicity test (ATT). Among these 18 genes, the expressions of 15 marker genes were strongly associated with leukocyte reduction levels. A stepwise single addition multiple regression analysis was used to further extract the genes responsible for leukocyte reduction, with significant (p < 0.25) regression coefficients. The expression of 7 genes significantly predicted the leukocyte reduction. The prediction accuracy of this approach was approximately >90% (mean) for the direct measurement of leukocyte numbers. These results indicate that the expression of these 18 previously identified genes can provide information for both ATT and LTT.
Copyright © 2017 International Alliance for Biological Standardization. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Influenza vaccine; Leukopenic toxicity test; Marker gene; Safety test

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Year:  2017        PMID: 28838806     DOI: 10.1016/j.biologicals.2017.08.003

Source DB:  PubMed          Journal:  Biologicals        ISSN: 1045-1056            Impact factor:   1.856


  2 in total

1.  Changes of urine metabolite profiles are induced by inactivated influenza vaccine inoculations in mice.

Authors:  Eita Sasaki; Hideki Kusunoki; Haruka Momose; Keiko Furuhata; Kazuo Hosoda; Kaori Wakamatsu; Takuo Mizukami; Isao Hamaguchi
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

2.  Immunogenicity and Toxicity of Different Adjuvants Can Be Characterized by Profiling Lung Biomarker Genes After Nasal Immunization.

Authors:  Eita Sasaki; Hideki Asanuma; Haruka Momose; Keiko Furuhata; Takuo Mizukami; Isao Hamaguchi
Journal:  Front Immunol       Date:  2020-09-11       Impact factor: 7.561

  2 in total

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