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Navigating complexity in modern toxicology: the role of omics in short-term in vivo studies
Constance A Mitchell1, Leah Wehmas2, David Rouquie3
1Health and Environmental Sciences Institute, Washington, DC 20005, United States.
Abstract:
Toxicology is shifting toward predictive, mechanism-based approaches that support quicker, more human-relevant risk assessments and reduce reliance on animal testing. Central to this shift are short-term in vivo studies enriched with omics endpoints, which provide early molecular indicators of toxicity. These data enable the derivation of molecular points of departure and other biologically anchored metrics that can inform potency ranking, hazard identification, and risk assessment. This commentary summarizes insights from the 2025 Society of Toxicology session of the same name and highlights the importance of aligning technical advances with regulatory needs. Next-Generation Risk Assessment (NGRA) is a safety evaluation approach that incorporates emerging tools such as in vitro methods, computational models, and omics data to inform decision-making for human health and the environment, while aiming to reduce dependence on traditional animal testing. NGRA frameworks, while potentially generic in principle, must be tailored to the specific regulatory requirements and exposure contexts of different product sectors, including pharmaceuticals, industrial chemicals, agrochemicals, and cosmetics. Short-term mechanistic animal studies serve as a bridge between traditional long-term animal testing and new approach methodologies. From a technical standpoint, the generation, analysis, and interpretation of omics data have matured considerably, bringing regulatory acceptance within reach. Remaining challenges include standardizing bioinformatics pipelines, building confidence through validation against apical endpoints, and expanding training. Addressing these gaps through collaborative science and flexible regulatory frameworks will be key to realizing the full potential of omics-enabled hazard profiles to support NGRA.
Insights
Toxicology is advancing with omics data from short-term studies for predictive, human-relevant risk assessments. These Next Generation Risk Assessment (NGRA) approaches reduce animal testing by integrating molecular data for better hazard identification.
Area of Science:
- Toxicology and risk assessment
- Molecular toxicology
- Regulatory science
Background:
- The field of toxicology is transitioning to predictive, mechanism-based approaches.
- Omics endpoints in short-term in vivo studies provide early molecular toxicity indicators.
- These methods aim to reduce reliance on traditional animal testing for quicker, human-relevant risk assessments.
Purpose of the Study:
- To summarize insights on aligning technical advances in omics with regulatory needs for Next Generation Risk Assessment (NGRA).
- To highlight the importance of omics data in NGRA frameworks for various product sectors.
- To discuss the role of short-term mechanistic animal studies as a bridge to New Approach Methodologies (NAMs).
Main Methods:
- Utilizing omics data (e.g., transcriptomics, proteomics) from short-term in vivo studies.
- Deriving molecular points of departure (mPODs) and other biologically anchored metrics.
- Summarizing insights from a Society of Toxicology (SOT) session on omics-enabled NGRA.
Main Results:
- Omics data generation, analysis, and interpretation have matured significantly.
- Biologically anchored metrics derived from omics data can inform potency ranking and hazard identification.
- NGRA frameworks require tailoring to specific regulatory requirements and exposure contexts across sectors.
Conclusions:
- Omics-enabled hazard profiles hold significant potential for supporting NGRA.
- Standardizing bioinformatics, validating against apical endpoints, and expanding training are key challenges.
- Collaborative science and flexible regulatory frameworks are crucial for realizing the full potential of omics in toxicology.
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