Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery

Reliance on cell lines and animal models for toxicity testing has long been the cornerstone of preclinical drug discovery for intestinal diseases, but the physiology, genetics, and disease etiology of animals differ significantly from those of humans. Species-specific differences contribute to high drug attrition rates at early stages of clinical trial, particularly in complex disorders such as inflammatory bowel disease (IBD), in which such a rate is over 85%. Regulatory shifts by the FDA with the Modernization Act 2.0 and subsequent New Approach Methodologies (NAMs) guidance are accelerating the transition toward human-relevant systems by emphasizing AI-integration, organoid-based assays, and organ-on-chip technologies. Human intestinal organoids (HIOs) have emerged as transformative tools that faithfully replicate the architecture, function, and cellular diversity of the human gut. Advances in the HIOs allow study of drug absorption, metabolism, and toxicity in a dish, providing a bridge between in vitro assays and clinical outcomes to offer new opportunities for improving the prediction of toxicokinetics and pharmacokinetics. Emerging clinical trials employing patient-derived intestinal organoids (PDO) underscore their potential to bridge preclinical and clinical drug development. HIOs, as a disease model, fit well with the FDA's NAMs roadmap, and they will improve drug safety assessment and reduce the use of animal models.

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Publication Details

Journal
Advanced Science
Published
2026-03-02
DOI
https://doi.org/10.1002/advs.202522276
Primary Topic
3D Printing in Biomedical Research
Type
article
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article

Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery

Ibrahim M. Sayed, Jospeh C Wu, Honit Piplani, Souhrid Mukherjee et al.
Advanced Science
3D Printing in Biomedical Research
article

Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery

Ibrahim M. Sayed, Jospeh C Wu, Honit Piplani, Souhrid Mukherjee, Michael J. Rosen, Debarun Patra
article en

Abstract

Reliance on cell lines and animal models for toxicity testing has long been the cornerstone of preclinical drug discovery for intestinal diseases, but the physiology, genetics, and disease etiology of animals differ significantly from those of humans. Species-specific differences contribute to high drug attrition rates at early stages of clinical trial, particularly in complex disorders such as inflammatory bowel disease (IBD), in which such a rate is over 85%. Regulatory shifts by the FDA with the Modernization Act 2.0 and subsequent New Approach Methodologies (NAMs) guidance are accelerating the transition toward human-relevant systems by emphasizing AI-integration, organoid-based assays, and organ-on-chip technologies. Human intestinal organoids (HIOs) have emerged as transformative tools that faithfully replicate the architecture, function, and cellular diversity of the human gut. Advances in the HIOs allow study of drug absorption, metabolism, and toxicity in a dish, providing a bridge between in vitro assays and clinical outcomes to offer new opportunities for improving the prediction of toxicokinetics and pharmacokinetics. Emerging clinical trials employing patient-derived intestinal organoids (PDO) underscore their potential to bridge preclinical and clinical drug development. HIOs, as a disease model, fit well with the FDA's NAMs roadmap, and they will improve drug safety assessment and reduce the use of animal models.

Advanced Science
Cardiovascular Institute of the South (US), Cibus (United States) (US), Orbus Therapeutics (United States) (US), Stanford Medicine (US), System Biosciences (United States) (US), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 40%
3D Printing in Biomedical Research
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Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery — Ibrahim M. Sayed, Jospeh C Wu, et al. · Advanced Science (2026) | TGRS Research Map | TGRS