Pharmacogenomics in Anaesthesia: Individualised Drug Responses


Year : 2025 | Volume : 16 | 01 | Page : –
    By

    Tehseen Irshad,

  • Dr Bilal,

  • Sowby Jan,

  1. Assistant Professor, St.Soldier Group of Institutions, Jalandhar, Punjab, India
  2. Anaesthesiologist, GMC Baramullah, Jalandhar, Punjab, India
  3. Assistant Professor, St.Soldier Group of Institutions, Jalandhar, Punjab, India

Abstract

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Pharmacogenomics is the study of how a person’s genes influence how they react to medications. Pharmacology, the study of medications, and genomics, the examination of genes and their functions, merge in this field to develop safe, effective drugs that can be prescribed based on an individual’s genetic makeup. Pharmacogenomics examines how an individual’s unique genetic makeup can influence their responses to certain drugs. In anesthesia, where individual responses to pain relievers are vital, it is particularly relevant. Pharmacogenomics examines how genetic differences influence drug dosage, response, metabolism, and safety outcomes. Anaesthetics and the perioperative phase are promising subjects for pharmacogenetic studies due to the narrow therapeutic ranges of anesthesia drugs, variations in patient responses to anesthesia, and the risks associated with surgical procedures. Anesthesia specialists aim to reduce risks and negative impacts linked to anesthesia, while also enhancing the administration of anesthesia and improving patient results. The most important developments in the knowledge and use of genetics in pharmacology have thus far taken place outside of anesthesiology, even though pharmacogenomics originated in the field of anesthesia.

Keywords: Pharmacogenomics, anesthesiology, personalized medicine, Isoflurane Isoflurane, single Nucleotide Polymorphisms.

How to cite this article:
Tehseen Irshad, Dr Bilal, Sowby Jan. Pharmacogenomics in Anaesthesia: Individualised Drug Responses. Research and Reviews: A Journal of Pharmacology. 2025; 16(01):-.
How to cite this URL:
Tehseen Irshad, Dr Bilal, Sowby Jan. Pharmacogenomics in Anaesthesia: Individualised Drug Responses. Research and Reviews: A Journal of Pharmacology. 2025; 16(01):-. Available from: https://journals.stmjournals.com/rrjop/article=2025/view=0


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References

  1. Johnson,  J. A., and Cavallari, L. H. (2015). Warfarin pharmacogenetics. Trends Cardiovasc Med. 25 (1), 33–41. doi:10.1016/j.tcm.2014.09.001.
  2. Meyer, U. Pharmacogenetics – five decades of therapeutic lessons from genetic diversity. Nat Rev Genet 5, 669–676 (2004). https://doi.org/10.1038/nrg1428
  3. Flockhart, D. A. (2007). Cytochrome P450 Drug Interaction Table. Clinical Pharmacology & Therapeutics, 81(1), 45-49.
  4. Evans, W. E., & Relling, M. V. (1999). Pharmacogenomics: translating functional genomics into rational therapeutics. Science, 286(5439), 487-491.
  5. Gage, B. F., & Lesko, L. J. (2008). Pharmacogenetics and coumarin therapy: ready for prime time? Clinical Pharmacology & Therapeutics, 84(3), 365-369.
  6. Dunnenberger, H. M., Crews, K. R., Hoffman, J. M., Caudle, K. E., Broeckel, U., Howard, S. C., … & Relling, M. V. (2015). Preemptive clinical pharmacogenetics implementation: current programs in five US medical centers. Annual Review of Pharmacology and Toxicology, 55, 89-106.
  7. Kitzmiller, J. P., Groen, D. K., Phelps, M. A., Sadee, W., & Gianella-Borradori, A. (2011). Pharmacogenomic testing: relevance in medical practice: why drugs work in some patients but not in others. Cleveland Clinic Journal of Medicine, 78(4), 243-257.
  8. Phillips, K. A., Veenstra, D. L., Oren, E., Lee, J. K., & Sadee, W. (2001). Potential role of pharmacogenomics in reducing adverse drug reactions: a systematic review. JAMA, 286(18), 2270-2279.
  9. McLeod, H. L., & Evans, W. E. (2001). Pharmacogenomics: unlocking the human genome for better drug therapy. Annual Review of Pharmacology and Toxicology, 41(1), 101-121.
  10. Roden, D. M., & George Jr, A. L. (2002). The genetic basis of variability in drug responses. Nature Reviews Drug Discovery, 1(1), 37-44.
  11. Ginsburg, G. S., & Willard, H. F. (2009). Genomic and personalized medicine: foundations and applications. Translational Research, 154(6), 277-287.
  12. McCaffery, K., & Holmes-Rovner, M. (2009). Self-reported outcome measures of the shared decision-making process: a systematic review. Medical Decision Making, 30(2), 144-158.
  13. The International Warfarin Pharmacogenetics Consortium. (2009). Estimation of the warfarin dose with clinical and pharmacogenetic data. New England Journal of Medicine, 360(8), 753-764.
  14. Swen, J. J., Nijenhuis, M., de Boer, A., Grandia, L., Derijks, H. J., Brouwers, J. R., & de Boer, A. (2011). Pharmacogenetics: from bench to byte—an update of guidelines. Clinical Pharmacology & Therapeutics, 89(5), 662-673.

 

Ahead of Print Subscription Original Research
Volume 16
01
Received 06/02/2025
Accepted 04/03/2025
Published 12/03/2025
Publication Time 34 Days
194

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