Pharmacology-based toxicity assessment: towards quantitative risk prediction in humans

被引:22
|
作者
Sahota, Tarjinder [1 ]
Danhof, Meindert [1 ]
Della Pasqua, Oscar [1 ,2 ,3 ]
机构
[1] Leiden Univ, Leiden Acad Ctr Drug Res, Div Pharmacol, Leiden, Netherlands
[2] GlaxoSmithKline, Clin Pharmacol Modelling & Simulat, Stockley Pk West, Uxbridge, Middx, England
[3] UCL, Clin Pharmacol & Therapeut, London, England
关键词
IN-VITRO; DOSE-RESPONSE; DRUG; MODEL; PHARMACODYNAMICS; RAT; PHARMACOKINETICS; TRIAL; METHYLPREDNISOLONE; EXTRAPOLATION;
D O I
10.1093/mutage/gev081
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Despite ongoing efforts to better understand the mechanisms underlying safety and toxicity, similar to 30% of the attrition in drug discovery and development is still due to safety concerns. Changes in current practice regarding the assessment of safety and toxicity are required to reduce late stage attrition and enable effective development of novel medicines. This review focuses on the implications of empirical evidence generation for the evaluation of safety and toxicity during drug development. A shift in paradigm is needed to (i) ensure that pharmacological concepts are incorporated into the evaluation of safety and toxicity; (ii) facilitate the integration of historical evidence and thereby the translation of findings across species as well as between in vitro and in vivo experiments and (iii) promote the use of experimental protocols tailored to address specific safety and toxicity questions. Based on historical examples, we highlight the challenges for the early characterisation of the safety profile of a new molecule and discuss how model-based methodologies can be applied for the design and analysis of experimental protocols. Issues relative to the scientific rationale are categorised and presented as a hierarchical tree describing the decision-making process. Focus is given to four different areas, namely, optimisation, translation, analytical construct and decision criteria. From a methodological perspective, the relevance of quantitative methods for estimation and extrapolation of risk from toxicology and safety pharmacology experimental protocols, such as points of departure and potency, is discussed in light of advancements in population and Bayesian modelling techniques (e.g. non-linear mixed effects modelling). Their use in the evaluation of pharmacokinetics (PK) and pharmacokinetic-pharmacodynamic relationships (PKPD) has enabled great insight into the dose rationale for medicines in humans, both in terms of efficacy and adverse events. Comparable benefits can be anticipated for the assessment of safety and toxicity profile of novel molecules.
引用
收藏
页码:359 / 374
页数:16
相关论文
共 50 条
  • [42] Acute Inhalation Toxicity in Quantitative Risk Assessment - Methods and Procedures
    Hansler, Rikkert J.
    Gooijer, Leendert
    Wolting, Bert G.
    LP2013 - 14TH SYMPOSIUM ON LOSS PREVENTION AND SAFETY PROMOTION IN THE PROCESS INDUSTRIES, VOLS I AND II, 2013, 31 : 751 - 756
  • [43] Network Pharmacology-Based Prediction of Active Ingredients and Potential Targets of ShengDiHuang Decoction for Treatment of Dysfunctional Uterine Bleeding
    Yang, Hui
    Fan, Yu
    Cheng, Jiangxue
    Zou, Junbo
    Zhang, Xiaofei
    Shi, Yajun
    Guo, Dongyan
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2020, 2020
  • [44] Network Pharmacology-Based Prediction and Pharmacological Validation of Effects of Astragali Radix on Acetaminophen-Induced Liver Injury
    Peng, Yuan
    Zhu, Gerui
    Ma, Yuanyuan
    Huang, Kai
    Chen, Gaofeng
    Liu, Chenghai
    Tao, Yanyan
    FRONTIERS IN MEDICINE, 2022, 9
  • [45] Network pharmacology-based and molecular docking prediction of the active ingredients and mechanism of ZaoRenDiHuang capsules for application in insomnia treatment
    Jin, De
    Zhang, Jinghua
    Zhang, Yuqing
    An, Xuedong
    Zhao, Shenghui
    Duan, Liyun
    Zhang, Yuehong
    Zhen, Zhong
    Lian, Fengmei
    Tong, Xiaolin
    COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 135
  • [46] Network pharmacology-based prediction of active compounds and molecular targets in Yijin-Tang acting on hyperlipidaemia and atherosclerosis
    Lee, A. Yeong
    Park, Won
    Kang, Tae-Wook
    Cha, Min Ho
    Chun, Jin Mi
    JOURNAL OF ETHNOPHARMACOLOGY, 2018, 221 : 151 - 159
  • [47] Network Pharmacology-Based Prediction and Verification of the Targets and Mechanism for Panax Notoginseng Saponins against Coronary Heart Disease
    Dong, Yan
    Duan, Lian
    Chen, Heng-wen
    Liu, Yong-mei
    Zhang, Yun
    Wang, Jie
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2019, 2019
  • [48] Prediction of the Network Pharmacology-Based Mechanism for Attenuation of Atherosclerosis in Apolipoprotein E Knockout Mice by Panax notoginseng Saponins
    Long, Linzi
    Yu, Zikai
    Qu, Hua
    Wang, Ning
    Guo, Ming
    Zhou, Xuezhong
    Fu, Changgeng
    Gao, Zhuye
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2020, 2020
  • [49] Network Pharmacology-Based Prediction and Verification of Flavonoids from Elsholtiza densa Benth. for Treating Cervical Cancer
    Tao, Jin
    Huang, Jing
    Ren, Qiurong
    Zhou, Yihan
    Zhao, Jiayuan
    Wang, Yanan
    RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY, 2024, 50 (03) : 882 - 895
  • [50] System Pharmacology-Based Prediction of the Active Compounds, Potential Targets, and Signaling Pathways Involved in Simiao powder for Treatment of Gout
    Xu, Huachong
    Liu, Pei
    Shi, Yucong
    Deng, Li
    Chen, Xiaoyin
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 77 - 78