Genotoxic impurities in Famotidine according to Regulatory Perspective
Keywords:
Genotoxic impurities, Famotidine, NDMA, ICH M7, Regulatory guidelines, Nitrosamines, Analytical methods, LC-MS/MSAbstract
Ensuring patient safety and therapeutic efficacy is the cornerstone of pharmaceutical development. Genotoxic impurities (GTIs) substances capable of causing DNA damage pose serious safety concerns even at trace levels in active pharmaceutical ingredients (APIs). Famotidine, a histamine H₂-receptor antagonist used for peptic ulcer and gastroesophageal reflux disease, has been under scrutiny for potential nitrosamine impurities such as N-nitrosodimethylamine (NDMA) and N-nitrosodiethylamine (NDEA). This study investigates genotoxic impurities in Famotidine according to current international regulatory guidelines, focusing on the analytical detection, classification, and control strategies as per ICH M7 and FDA frameworks. Using LC-MS/MS and GC-MS techniques, trace-level quantification of NDMA was achieved within sub-ppm limits. The paper highlights the significance of adopting stringent analytical protocols and process optimization to minimize GTI formation and ensure pharmaceutical safety.
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References
1. https://en.wikipedia.org/wiki/Analytical_chemistry.
2. www.fda.gov/cder
3. www.ich.org
4. Zhanna Y. Yuabovaa et al., “Genotoxic Impurities: A Quantitative Approach”, J. liq.Chromatogr. Related Technol., 31(15), 2008: 2318-2330.
5. www.emea.eu.int.
6. L. Muller et al., “A rationale for determining, testing, and controlling specific impurities in pharmaceuticals that possess potential for genotoxicity”, Regul. Toxicol. Pharm., 44(3), 2006: 198-211.
7. Ann M. Richard, Structure-based methods for predicting mutagenicity and carcinogenicity: are we there yet? Mutagenesis, Volume 400, Issues 1–2, 25, 1998: 493–507.
8. Stephanie Ringeissen, et. al., Evaluation of (Q)SAR models for the prediction of mutagenicity potential. AATEX 14, August 21-25, Special Issue, 2007: 469-473.
9. J.P. Bercu et al., Quantitative assessment of cumulative carcinogenic risk for multiple genotoxic impurities in a new drug substance. Regulatory Toxicology and Pharmacology 51, 2008: 270–277.
10. K.L. Dobo et al., The application of structure-based assessment to support safety and chemistry diligence to manage genotoxic impurities in active pharmaceutical ingredients during drug development. Regulatory Toxicology and Pharmacology 44, 2006: 282–293.
11. Guidance for Industry: Genotoxic and Carcinogenic Impurities in Drug Substances and Products: Recommended Approaches. Center for Drug Evaluation and Research.
12. Bercu JP1, Dobo KL, Gocke E, McGovern TJ. Overview of genotoxic impurities in pharmaceutical development. Int J Toxicol, 28: 468-78.
13. Guidance for Industry, S2(R1) Genotoxicity Testing and Data Interpretation for Pharmaceuticals Intended for Human Use. ICH June 2012.
14. Guidance on a strategy for genotoxicity testing of chemical substances.
15. J.F. Contrera, improved in-silico prediction of carcinogenic potency (TD50) and the risk specific dose (RSD) adjusted Threshold of Toxicological Concern (TTC) for genotoxic chemicals and pharmaceutical impurities. Regulatory Toxicology and Pharmacology 59 2011: 133–141.
16. European Medicines Agency. Guideline on the Limits of Genotoxic Impurities, CPMP/SWP/5199/02, EMEA/CHMP/QWP/251344/2006, European Medicines Agency, 2007.
17. European Medicines Agency, Question and Answer bon the CHMP in: Guideline on the Limits of Genotoxic Impurities. 2008.
18. Center for Drug Evaluation and Research, Food and Drug Administration Guidance (Draft) for Industry Genotoxic and Carcinogenic Impurities in Drug Substances and Products. 2008.
19. Ronald D. Snyder, Assessment of the sensitivity of the computational programs DEREK, TOPKAT and MCASE in the prediction of genotoxicity of pharmaceutical molecules. Environmental and molecular mutagenesis 43, 2004: 143-158.
20. http://www.reach.serv.com/index.php?option=com_content&task=view&id= 148&Itemid=129.
21. Carol A. Marchant, Prediction of Rodent Carcinogenicity Using the DEREK System for 30 Chemicals Currently Being Tested by the National Toxicology Program. Environmental Health Perspectives, Vol 104, Supplement 5, 1996:1065-1073.
22. N. F. Cariello et al., Comparison of the computer programs DEREK and TOPKAT to predict bacterial mutagenicity.
23. www.mdl.com/products/predictive/qsar/index.jsp.
24. www.multicase.com/products/prod01.htm.
25. Deductive Estimation of Risk from Existing Knowledge, marketed by LHASA Ltd., Leeds, UK, https://www.lhasalimited.org/index.php/derek.
26. Ann M. Richard, Structure-based methods for predicting mutagenicity and carcinogenicity: are we there yet? Mutagenesis, Volume 400, Issues 1–2, 25, 1998: 493–507.
27. Stephanie Ringeissen, et. al., Evaluation of (Q)SAR models for the prediction of mutagenicity potential. AATEX 14, August 21-25, Special Issue, 2007: 469-473.
28. G. Swarnalatha, C. Vanitha, V. Rajani Sekhar, E. Mounika, I Sowkar Baig, B. Vijayakumar. Review on genotoxic impurities in drug substances. Indian Journal of Pharmaceutical Science &Research. Vol 4, Issue 4, 2014: 210-216.
29. N.V.V.S.S. Raman∗, A.V.S.S. Prasad, K. Ratnakar Reddy. Strategies for the identification, control and determination of genotoxic impurities in drug substances: A pharmaceutical industry perspective. Journal of Pharmaceutical and Biomedical Analysis 55, 2011: 662–667.
30. D.J. Snodin, Genotoxic impurities: From structural alerts to qualification, Org. Process Res. Dev. 14, 2010: 960–976.
31. S.P. Raillard, J. Bercu, S.W. Baertschi, C.M. Riley, Prediction of drug degradation pathways leading to structural alerts for potential genotoxic impurities, Org. Process Res. Dev. 14, 2010: 1015–1020.
32. David Jacobson-Kram, Timothy McGovern b. Toxicological overview of impurities in pharmaceutical products. Advanced Drug Delivery Reviews 59, 2007: 38–42.
33. C.D.N. Humfrey. Recent developments in the risk assessment of potentially genotoxic impurities in pharmaceutical drug substances. Toxicol. Sci., 100, 2007: 24–28.
34. K.L. Dobo, N. Greene, M.O. Cyr, S. Caron, W.W. Ku, the application of structure based assessment to support safety and chemistry diligence to manage genotoxic impurities in active pharmaceutical ingredients during drug development, Regul. Toxicol. Pharmacol. 44, 2006: 282.
35. D.A. Pierson, B.A. Olsen, D.K. Robbins, K.M. DeVries, D.L. Varie, Approaches to assessment, testing decisions, and analytical determination of genotoxic impurities in drug substances, Org. Process Res. Dev. 13, 2009: 285–291.
36. D.P. Elder, A.M. Lipczynskib, A. Teasdalec, Control and analysis of alkyl and benzyl halides and other related reactive organohalides as potential genotoxic impurities in active pharmaceutical ingredients (APIs), J. Pharm. Biomed. Anal. 48, 2008: 497–507.
37. D.P. Elder, A. Teasdale, A.M. Lipczynski, Control and analysis of alkyl esters of alkyl and aryl sulfonic acids in novel active pharmaceutical ingredients (APIs), J. Pharm. Biomed. Anal. 46, 2008: 1–8.
38. D.P. Elder, E.D. Delaney, A. Teasdale, S. Eyley, V.D. Reif, K. Jacq, K.L. Facchine, R.S. Oestrich, P. Sandra, F. David, The utility of sulfonate salts in drug development, J. Pharm. Sci. 99, 2010: 29-48.
39. G.E. Taylor, M. Gosling, A. Pearce, Low level determination of ptoluenesulfonate and benzenesulfonate esters in drug substance by high performance liquid chromatography/mass spectrometry, J. Chromatogr. A 1119, 2006: 231–237.
40. D.P. Elder, D. Snodinb, A. Teasdalec, Analytical approaches for the detection of epoxides and hydroperoxides in active pharmaceutical ingredients, drug products and herbals, J. Pharm. Biomed. Anal. 51, 2010: 1015–1023.
41. D.I. Robinson, Control of genotoxic impurities in active pharmaceutical ingredients: a review and perspective, Org. Process Res. Dev. 14, 2010: 946– 959.
42. Z. Cimarosti, F. Bravo, P. Stonestreet, F. Tinazzi, O. Vecchi, G. Camurri, Application of quality by design principles to support development of a control strategy for the control of genotoxic impurities in the manufacturing process of a drug substance, Org. Process Res. Dev. 14, 2010: 993–998.