The development and application of statistical methods to establishing methogologies of predicting the hazards of chemical substances
| Project/Area Number |
16K21674
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Environmental policy and social systems
Environmental impact assessment
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
Takeshita Jun-ichi 国立研究開発法人産業技術総合研究所, エネルギー・環境領域, 主任研究員 (60574390)
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| Project Period (FY) |
2016-04-01 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 化学物質リスク評価 / 有害性推論 / QSAR / Read-across / 統計的測定精度評価 / 質的尺度 / ISO/TC 69（統計的方法の適用） / 毒性予測 / 副作用予測 / 薬剤性肝障害（DILI） / 質的データ / 2値データ / 順序尺度 / シトクロムP450 / 反復投与毒性 / 化学物質 / リードアクロス / ラボ間比較試験 / ORDANOVA / QSAR（定量的構造活性相関） / ISO 5725 / F検定 / ロジスティック回帰モデル / 組合せ最適化問題 / メタ戦略 / クラスタリング / 応用数学 / 統計数学 / 有害化学物質 / 動物実験代替法 |
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| Outline of Final Research Achievements |
To assess and manage chemical substances, experiments are often done on animals. However, in terms of time and cost efficiencies and the need for animal protection, there is increasing global demand to use statistical methods to reduce the need for animal testing. Thus, we mainly developed the following two kinds of methodologies. (1) We proposed methods to predict chemical toxicities based on informatics features, such as physicochemical properties of compounds, and biological features obtained from non-animal experiments. (2) We proposed statistical methods to evaluate the measurement accuracy of binary (e.g., presence/absence of toxicity) and ordinal data (e.g., strength of toxicity, weak/middle/strong), in order to quantify the uncertainty of new non-animal experiments.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究課題で得られた成果はいずれも，リスク評価の際の国際的な動物実験数削減に寄与するものである．特に(1)の成果のひとつであるRead-acrossに関するものは，ケーススタディを除いて既存研究が少なく，統計的手法を提案できたことは学術的意義がある．また(2)に関して2値尺度の統計的測定精度評価手法については食品や分析化学など統計や数学以外の分野でも関心が高いため，2値尺度に関するISOガイダンス文章を発行できたことは社会的意義がある．
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Report
(6 results)
Research Products
(40 results)
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[Journal Article] Application of cytochrome P450 reactivity on the characterization of chemical compounds and its association with repeated-dose toxicity2020
Author(s)
Michiko Watanabe, Takamitsu Sasaki, Jun-ichi Takeshita, Madoka Kushida, Yuki Shimizu, Hitomi Oki, Yoko Kitsunai, Haruka Nakayama, Hitomi Saruhashi, Rui Ogura, Ryota Shizu, Takuomi Hosaka, Kouichi Yoshinari
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Journal Title
Toxicology and Applied Pharmacology
Volume: 388
Pages: 114854-114854
DOI
Related Report
Peer Reviewed
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[Journal Article] Application of ISO 5725 to evaluate measurement precision of distribution within the lung after intratracheal administration2018
Author(s)
Jun-ichi Takeshita, Junya Ono, Tomomichi Suzuki, Hirokazu Kano, Yutaka Oshima, Yasuo Morimoto, Hiroshi Takehara, Takamasa Numano, Katsuhide Fujita, Naohide Shinohara, Kazuhiro Yamamoto, Kazumasa Honda, Shoji Fukushima, and Masashi Gamo
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Journal Title
Series on Advances in Mathematics for Applied Sciences: Volume 89. Advanced Mathematical and Computational Tools in Metrology and Testing Vol XI
Volume: -
Pages: 257-364
Related Report
Peer Reviewed
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[Presentation] Application of ISO 5725 to evaluate measurement precision of distribution within the lung after intratracheal administration2017
Author(s)
Jun-ichi Takeshita, Tomomichi Suzuki, Hirokazu Kano, Yutaka Oshima, Yasuo Morimoto, Hiroshi Takehara, Takamasa Numano, Katsuhide Fujita, Naohide Shinohara, Kazuhiro Yamamoto, Kazumasa Honda, Shoji Fukushima, and Masashi Gamo
Organizer
Advanced Mathematical and Computational Tools in Metrology and Testing XI (AMCTM2017)
Related Report
Int'l Joint Research
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