Literature DB >> 23824014

Potentials and limitations of nonclinical safety assessment for predicting clinical adverse drug reactions: correlation analysis of 142 approved drugs in Japan.

Chihiro Tamaki1, Takashi Nagayama, Masamichi Hashiba, Masato Fujiyoshi, Masanori Hizue, Hiroshi Kodaira, Minoru Nishida, Kazuhiko Suzuki, Yoshiharu Takashima, Yamato Ogino, Daisaku Yasugi, Yasuo Yoneta, Shigeru Hisada, Takako Ohkura, Kazuichi Nakamura.   

Abstract

The objective of this study was to elucidate the range of abilities of nonclinical safety assessment for predicting adverse drug reactions (ADRs) in humans. The dataset included 1256 ADRs with an incidence rate of 5% or more collected from 142 drugs approved in Japan from 2001 to 2010 (excluding anticancer agents and vaccines). Gastrointestinal, neurological and hepatobiliary ADRs were relatively common, followed by hematological, cutaneous, systemic and cardiovascular ADRs in the dataset. The analysis revealed that 48% of ADRs were predictable based on a comprehensive nonclinical safety assessment considering animal toxicity. Hematological and ocular ADRs, infection, and application site reactions showed a correlation of more than 70%, while musculoskeletal, respiratory and neurological ADRs showed a correlation of less than 30%. In addition to subjective patient perceptions, several laboratory parameters routinely monitored both in animals and humans showed a lower correlation, e.g., abnormalities in hepatobiliary and metabolic parameters, and blood pressure increase. Large molecule drugs showed lower correlation than small molecule drugs; ADRs were observed in various organs and consideration of pharmacological action did not significantly contribute to the prediction. It was also confirmed that the current standard of toxicology testing regarding dosing duration and dose level is adequate to detect concordant animal toxicity. This study collectively demonstrated a significant value of nonclinical safety assessment in predicting ADRs in humans. It also identified the subset of ADRs with poor predictability, highlighting the need for advanced testing that enables successful translation of animal toxicity to clinical settings with better accuracy and sensitivity.

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Year:  2013        PMID: 23824014     DOI: 10.2131/jts.38.581

Source DB:  PubMed          Journal:  J Toxicol Sci        ISSN: 0388-1350            Impact factor:   2.196


  14 in total

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Authors:  Frank R Brennan; Joy Cavagnaro; Kathleen McKeever; Patricia C Ryan; Melissa M Schutten; John Vahle; Gerhard F Weinbauer; Estelle Marrer-Berger; Lauren E Black
Journal:  MAbs       Date:  2017-10-26       Impact factor: 5.857

3.  Inhibition of bile salt transport by drugs associated with liver injury in primary hepatocytes from human, monkey, dog, rat, and mouse.

Authors:  Jie Zhang; Kan He; Lining Cai; Yu-Chuan Chen; Yifan Yang; Qin Shi; Thomas F Woolf; Weigong Ge; Lei Guo; Jürgen Borlak; Weida Tong
Journal:  Chem Biol Interact       Date:  2016-03-19       Impact factor: 5.192

4.  Safety Profile Based on Concordance of Nonclinical Toxicity and Clinical Adverse Drug Reactions for Blood Cancer Drugs Approved in Japan.

Authors:  Sachie Kubota; Kazuyuki Saito; Shunsuke Ono; Yasuo Kodama
Journal:  Drugs R D       Date:  2017-03

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Authors:  Jia-Ying Joey Lee; James Alastair Miller; Sreetama Basu; Ting-Zhen Vanessa Kee; Lit-Hsin Loo
Journal:  Arch Toxicol       Date:  2018-04-28       Impact factor: 5.153

6.  Opportunities to Apply the 3Rs in Safety Assessment Programs.

Authors:  Fiona Sewell; Joanna Edwards; Helen Prior; Sally Robinson
Journal:  ILAR J       Date:  2016-12

7.  Harnessing the power of novel animal-free test methods for the development of COVID-19 drugs and vaccines.

Authors:  Francois Busquet; Thomas Hartung; Giorgia Pallocca; Costanza Rovida; Marcel Leist
Journal:  Arch Toxicol       Date:  2020-05-23       Impact factor: 5.153

8.  Animal to human translation: a systematic scoping review of reported concordance rates.

Authors:  Cathalijn H C Leenaars; Carien Kouwenaar; Frans R Stafleu; André Bleich; Merel Ritskes-Hoitinga; Rob B M De Vries; Franck L B Meijboom
Journal:  J Transl Med       Date:  2019-07-15       Impact factor: 5.531

9.  Meta-Analysis of Large-Scale Toxicogenomic Data Finds Neuronal Regeneration Related Protein and Cathepsin D to Be Novel Biomarkers of Drug-Induced Toxicity.

Authors:  Hyosil Kim; Ju-Hwa Kim; So Youn Kim; Deokyeon Jo; Ho Jun Park; Jihyun Kim; Sungwon Jung; Hyun Seok Kim; KiYoung Lee
Journal:  PLoS One       Date:  2015-09-03       Impact factor: 3.240

10.  The Rat microRNA body atlas; Evaluation of the microRNA content of rat organs through deep sequencing and characterization of pancreas enriched miRNAs as biomarkers of pancreatic toxicity in the rat and dog.

Authors:  Aaron Smith; John Calley; Sachin Mathur; Hui-Rong Qian; Han Wu; Mark Farmen; Florian Caiment; Pierre R Bushel; Jianying Li; Craig Fisher; Patrick Kirby; Erik Koenig; David G Hall; David E Watson
Journal:  BMC Genomics       Date:  2016-08-30       Impact factor: 3.969

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