This review outlines international and domestic regulatory trends in NAMs and highlights recent advances in organ-specific toxicity assessment using human-relevant models, including cardiotoxicity, hepatotoxicity, and neurotoxicity.
Abstract
In recent years, declining success rates and rising development costs have posed major challenges in drug development, highlighting the need for more efficient and rational approaches to evaluating drug efficacy and safety. Although non-clinical studies have traditionally relied primarily on animal experiments, adverse events that are difficult to predict continue to emerge during clinical trials and post-marketing, underscoring limitations in human extrapolation. In this context, new approach methodologies (NAMs), including human cell-based models and in silico analyses, have gained increasing international attention for improving predictivity while contributing to the 3Rs principles. This review outlines international and domestic regulatory trends in NAMs and highlights recent advances in organ-specific toxicity assessment using human-relevant models. For cardiotoxicity, contractility assays using human iPSC-derived cardiomyocytes have demonstrated the ability to predict chronic contractile dysfunction and are expected to support anticancer drug safety assessment. In neurotoxicity, platforms combining rat cortical neurons and human iPSC-derived neurons with multi-electrode array system have improved sensitivity for detecting seizure risk. In hepatotoxicity, three-dimensional culture systems and hepatocytes derived from humanized liver chimeric mice have shown promise for predicting drug-induced liver injury. Future efforts should focus on defining context of use and establishing reproducibility and reliability to enable broader regulatory acceptance of NAMs. As regulatory frameworks continue to evolve worldwide, guidelines are expected to be developed or updated based on a weight-of-evidence approach integrating in vitro and in silico data.
In silico and in vitro NAMs including quantitative systems pharmacology (QSP) modeling for opioid overdose scenarios, (quantitative) structure–activity relationship ((Q)SAR) modeling for toxicity prediction and drug–drug interaction assessment, and multi‐omics approaches for pharmacodynamic biomarker discovery are desc...
Ksenia Blinova, Kimberly Chiu, Anik Chaturbedi et al.· Clinical pharmacology and th...· 0 citations
Animal-based preclinical testing is increasingly misaligned with the biological and regulatory demands of modern drug development. Persistent failure of drug candidates underscores the limitations of using animal models for human drug development. In oncology and neurodegeneration, where disease mechanisms and therapeu...
C. Meinert, Silvia Cometta, Peter A. Levett et al.· International Journal of Bio...· 0 citations
Animal experimentation has long been associated with biomedical research and drug development. However, ethical concerns, limited translatability to humans and high clinical attrition rates (> 90%) necessitate a transition toward human-relevant approaches. Although diverse in vitro, in silico and artificial intelligenc...
Prashant N. Amale, D. Tiwari· Alternatives to laboratory a...· 0 citations
INTRODUCTION
High translational failure rates and ethical concerns surrounding animal models are driving the development of technologies to improve the drug development process. Organoids, three-dimensional self-organizing structures derived from stem cells, provide scalable, human-relevant platforms that recapitulate...
Jolene Phelps, Amanda Orr, Stephanie M. Willerth· Expert Opinion on Drug Disco...· 0 citations
Preclinical drug development has long relied on animal models to predict safety and efficacy before agents enter human trials, despite critical differences between human and animal model physiology. The withdrawal of rosiglitazone, rofecoxib, and terfenadine due to cardiovascular toxicity exemplifies the translational...
Debarun Patra, Ibrahim M. Sayed, R. Venkateshappa et al.· Journal of Clinical Investig...· 0 citations
New approach methodologies (NAMs) encompass a diverse and rapidly evolving set of experimental and computational tools designed to generate human‐relevant mechanistic data for use in drug development and regulatory decision making. Experimental NAMs provide insights into drug disposition, pharmacological activity, and...
Karen Rowland Yeo, P. H. van der Graaf· Clinical pharmacology and th...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.