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Establishing best practice for N-nitrosamine read-across and surrogate selection
David J Ponting1, Gabriela de Oliveira Silveira1, Philip Rowell2
1Lhasa Limited, Granary Wharf House, 2 Canal Wharf, Leeds, United Kingdom; Consult Lhasa, Granary Wharf House, 2 Canal Wharf, Leeds, United Kingdom.
Regulatory Toxicology and Pharmacology : RTP
|December 22, 2025
Summary
Read-across assessments for N-nitrosamine compounds are crucial for determining acceptable intakes. This study proposes factors for robust manual and in silico read-across, ensuring confident safety decisions for these critical impurities.
Area of Science:
- * Toxicology and risk assessment
- * Pharmaceutical impurity analysis
- * Computational chemistry and cheminformatics
Background:
- * Read-across is a key method for assessing compound activity using analogue data.
- * Regulatory guidance recommends read-across for N-nitrosamine acceptable intakes, equal in weight to other toxicological methods.
- * Manual read-across is complex, leading to backlogs and driving the development of new approaches like the Carcinogenic Potency Categorization Approach (CPCA).
Purpose of the Study:
- * To propose essential factors for conducting robust manual read-across assessments.
- * To outline considerations for next-generation semi-automated in silico read-across tools.
- * To ensure confident and well-documented conclusions in read-across evaluations for N-nitrosamine compounds.
Main Methods:
- * Review and proposal of factors for manual read-across assessment.
- * Identification of key considerations for semi-automated in silico tools.
- * Presentation of case studies involving N-nitrosamine degradation products (NDSRIs).
Main Results:
- * The study outlines critical factors for both manual and in silico read-across approaches.
- * Case studies demonstrate the practical application and validity of the proposed read-across methodology for NDSRIs.
- * The approach aims to streamline the assessment process and ensure reliable safety evaluations.
Conclusions:
- * A structured approach to read-across, considering specific factors, enhances assessment robustness.
- * Semi-automated in silico tools, guided by these factors, can improve efficiency and confidence.
- * This methodology supports confident decision-making for N-nitrosamine acceptable intakes, addressing safety concerns effectively.

