Modeling for influenza vaccines and adjuvants profile for safety prediction system using gene expression profiling and statistical tools

• Published in: PloS one Vol. 13; no. 2; p. e0191896
• Main Authors: Sasaki, Eita, Momose, Haruka, Hiradate, Yuki, Furuhata, Keiko, Takai, Mamiko, Asanuma, Hideki, Ishii, Ken J., Mizukami, Takuo, Hamaguchi, Isao
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 06.02.2018; Public Library of Science (PLoS)
• Subjects: Adjuvants; Analysis; Animal experimentation; Animal research; Biological markers; Biological products; Biology and Life Sciences; Biomarkers; Blood cells; Body weight; Cardiovascular disease; Evaluation; Gene expression; Hemagglutinins; Historical account; Infectious diseases; Influenza; Influenza vaccines; Inoculation; Interferon; Laboratories; Leukocytes; Lungs; Mathematical models; Medicine and Health Sciences; Methods; Mice; Physiological aspects; Polyinosinic:polycytidylic acid; Quality control; Regression analysis; Safety; Safety and security measures; Safety research; Squalene; Statistical analysis; Statistical prediction; Studies; Toxicity; Vaccines; Japan

Historically, vaccine safety assessments have been conducted by animal testing (e.g., quality control tests and adjuvant development). However, classical evaluation methods do not provide sufficient information to make treatment decisions. We previously identified biomarker genes as novel safety mar...