• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

非临床安全性评估预测临床药物不良反应的潜力和局限性:日本 142 种获批药物的相关性分析。

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

机构信息

Non-Clinical Evaluation Expert Committee, Drug Evaluation Committee, Japan Pharmaceutical Manufacturers Association, Japan.

出版信息

J Toxicol Sci. 2013;38(4):581-98. doi: 10.2131/jts.38.581.

DOI:10.2131/jts.38.581
PMID:23824014
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.

摘要

本研究旨在阐明非临床安全性评估预测人类药物不良反应(ADR)的能力范围。数据集包括 2001 年至 2010 年在日本批准的 142 种药物中收集的 1256 种发生率为 5%或以上的 ADR(不包括抗癌药物和疫苗)。胃肠道、神经和肝胆 ADR 较为常见,其次是血液、皮肤、全身和心血管 ADR。分析表明,基于考虑动物毒性的综合非临床安全性评估,48%的 ADR 是可预测的。血液和眼部 ADR、感染和应用部位反应的相关性超过 70%,而肌肉骨骼、呼吸和神经 ADR 的相关性低于 30%。除了主观的患者感知外,一些在动物和人类中常规监测的实验室参数的相关性也较低,例如肝胆和代谢参数异常以及血压升高。大分子药物的相关性低于小分子药物;ADR 发生在各种器官,考虑到药理作用并没有显著有助于预测。还证实了目前关于毒理学测试持续时间和剂量水平的标准足以检测到一致的动物毒性。这项研究综合证明了非临床安全性评估在预测人类 ADR 方面的重要价值。它还确定了预测性较差的 ADR 亚组,强调需要进行先进的测试,以便更准确和敏感地将动物毒性转化为临床环境。

相似文献

1
Potentials and limitations of nonclinical safety assessment for predicting clinical adverse drug reactions: correlation analysis of 142 approved drugs in Japan.非临床安全性评估预测临床药物不良反应的潜力和局限性:日本 142 种获批药物的相关性分析。
J Toxicol Sci. 2013;38(4):581-98. doi: 10.2131/jts.38.581.
2
Safety Profile Based on Concordance of Nonclinical Toxicity and Clinical Adverse Drug Reactions for Blood Cancer Drugs Approved in Japan.基于日本批准的血液癌症药物非临床毒性与临床药物不良反应一致性的安全性概况。
Drugs R D. 2017 Mar;17(1):133-143. doi: 10.1007/s40268-016-0160-x.
3
Adverse Drug Reactions for Medicines Newly Approved in Japan from 1999 to 2013: Hypertension and Hypotension.1999年至2013年日本新批准药物的不良反应:高血压和低血压。
Basic Clin Pharmacol Toxicol. 2016 Apr;118(4):306-12. doi: 10.1111/bcpt.12494. Epub 2015 Nov 3.
4
Translation of nonclinical to clinical safety findings for 27 biotherapeutics.27 种生物治疗药物的非临床至临床安全性研究结果的转化。
Toxicol Appl Pharmacol. 2024 Mar;484:116854. doi: 10.1016/j.taap.2024.116854. Epub 2024 Feb 10.
5
Evaluation of patient reporting of adverse drug reactions to the UK 'Yellow Card Scheme': literature review, descriptive and qualitative analyses, and questionnaire surveys.评估患者向英国“黄卡计划”报告药物不良反应的情况:文献回顾、描述性和定性分析以及问卷调查。
Health Technol Assess. 2011 May;15(20):1-234, iii-iv. doi: 10.3310/hta15200.
6
Toxicologic Pathology Forum: Current Status on the Use of Animal Models of Human Disease in the Pharmaceutical Industry in Japan in Nonclinical Safety Assessment-Opinion Paper.毒理病理学论坛:日本制药行业在非临床安全性评估中使用人类疾病动物模型的现状——意见书
Toxicol Pathol. 2019 Feb;47(2):108-120. doi: 10.1177/0192623318816669. Epub 2019 Jan 13.
7
A survey of spontaneous reporting of adverse drug reactions in 10 years of activity in a pharmacovigilance centre in Portugal.葡萄牙一个药物警戒中心10年活动期间药品不良反应自发报告情况调查。
Int J Pharm Pract. 2014 Aug;22(4):275-82. doi: 10.1111/ijpp.12078. Epub 2013 Nov 5.
8
Safety-Related Regulatory Actions and Risk Factors for Anticancer Drugs in Japan.日本抗癌药物的安全相关监管行动及风险因素
Pharmaceut Med. 2019 Feb;33(1):45-52. doi: 10.1007/s40290-018-0260-8.
9
Monitoring drug safety in Astrakhan, Russia.俄罗斯阿斯特拉罕地区的药物安全监测。
Int J Risk Saf Med. 2015;27 Suppl 1:S33-4. doi: 10.3233/JRS-150680.
10
Safety and nutritional assessment of GM plants and derived food and feed: the role of animal feeding trials.转基因植物及其衍生食品和饲料的安全性与营养评估:动物饲养试验的作用
Food Chem Toxicol. 2008 Mar;46 Suppl 1:S2-70. doi: 10.1016/j.fct.2008.02.008. Epub 2008 Feb 13.

引用本文的文献

1
Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations.利用多任务深度神经网络和对比分子解释进行准确的临床毒性预测。
Sci Rep. 2023 Mar 25;13(1):4908. doi: 10.1038/s41598-023-31169-8.
2
Monitoring of Cardiorespiratory Parameters in Rats-Validation Based on Pharmacological Stimulation.基于药理刺激的大鼠心肺参数监测——验证
Pharmaceuticals (Basel). 2021 Nov 25;14(12):1223. doi: 10.3390/ph14121223.
3
Computational and experimental insight into antituberculosis agent, ()-benzyl-2-(4-hydroxy-2-methoxybenzylidene) hydrazinecarbodithioate: ADME analysis.
抗结核药物()-苄基-2-(4-羟基-2-甲氧基亚苄基)肼基二硫代甲酸酯的计算与实验研究:ADME分析
Heliyon. 2021 Oct 19;7(10):e08209. doi: 10.1016/j.heliyon.2021.e08209. eCollection 2021 Oct.
4
A Synthetic Hydrogel, VitroGel ORGANOID-3, Improves Immune Cell-Epithelial Interactions in a Tissue Chip Co-Culture Model of Human Gastric Organoids and Dendritic Cells.一种合成水凝胶VitroGel ORGANOID-3,在人胃类器官与树突状细胞的组织芯片共培养模型中改善免疫细胞与上皮细胞的相互作用。
Front Pharmacol. 2021 Sep 6;12:707891. doi: 10.3389/fphar.2021.707891. eCollection 2021.
5
Organ-on-chip applications in drug discovery: an end user perspective.器官芯片在药物发现中的应用:终端用户视角。
Biochem Soc Trans. 2021 Aug 27;49(4):1881-1890. doi: 10.1042/BST20210840.
6
Harnessing the power of novel animal-free test methods for the development of COVID-19 drugs and vaccines.利用新型无动物测试方法的力量开发 COVID-19 药物和疫苗。
Arch Toxicol. 2020 Jun;94(6):2263-2272. doi: 10.1007/s00204-020-02787-2. Epub 2020 May 23.
7
Comparison of Zebrafish Larvae and hiPSC Cardiomyocytes for Predicting Drug-Induced Cardiotoxicity in Humans.用于预测药物诱导的人类心脏毒性的斑马鱼幼虫和人诱导多能干细胞衍生心肌细胞的比较
Toxicol Sci. 2019 Oct 1;171(2):283-295. doi: 10.1093/toxsci/kfz165.
8
Animal to human translation: a systematic scoping review of reported concordance rates.动物到人类的转化:报告的一致性率的系统范围综述。
J Transl Med. 2019 Jul 15;17(1):223. doi: 10.1186/s12967-019-1976-2.
9
Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence.利用高通量成像和人工智能构建预测性体外肺毒性检测方法。
Arch Toxicol. 2018 Jun;92(6):2055-2075. doi: 10.1007/s00204-018-2213-0. Epub 2018 Apr 28.
10
Safety testing of monoclonal antibodies in non-human primates: Case studies highlighting their impact on human risk assessment.非人类灵长类动物中单克隆抗体的安全性测试:案例研究强调其对人类风险评估的影响。
MAbs. 2018 Jan;10(1):1-17. doi: 10.1080/19420862.2017.1389364. Epub 2017 Oct 26.