Literature DB >> 23640947

The impact of genetic factors on response to anaesthetics.

A Mikstacki1, M Skrzypczak-Zielinska, B Tamowicz, O Zakerska-Banaszak, M Szalata, R Slomski.   

Abstract

In recent years, exceptional progress has been observed in pharmacogenetics, i.e. investigations of inherited conditioning of the organism's response to drugs or xenobiotics. On the other hand, modern molecular biology techniques have been implemented, making it possible to perform studies determining the involvement of genetic factors in differing responses to agents employed in general anaesthesia. Unexpected and incorrect response of the organism to the administration of specific anaesthetics is most commonly associated with a genetic defect of the metabolic pathway of a given agent or its receptor. The majority of agents used in anaesthesia are metabolised in the liver by the cytochrome P450 superfamily enzymes (CYPs) and phase II drug-metabolising enzymes: glutathione S-transferases (GSTs), sulphotransferases (SULTs), UDP-glucuronosyltransferases (UGTs) and NAD(P)H:quinone oxidoreductase (NQO1). Propofol is presently widely used for gastrointestinal (GI) and several other procedures. Among genes associated with metabolism of the most commonly applied anaesthetics such as propofol and sevoflurane, the following ones can be mentioned: CYP2E1, CYP2B6, CYP2C9, GSTP1, UGT1A9, SULT1A1 and NQO1. Moreover, the basic mechanism of propofol action involves its interaction with an ionotropic receptor GABAA inhibiting transfer of nerve impulses. Molecular studies have shown that polymorphic changes in GABRG2 receptor gene turn out to be important in the propofol anaesthesia. Planning of optimal anaesthesia can be considerably assisted by the determination of genetic factors of prognostic value taking advantage of genotyping and making it possible to select anaesthetics and reduce risk of side effects as well as undesirable actions.

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Year:  2013        PMID: 23640947     DOI: 10.2478/v10039-012-0065-z

Source DB:  PubMed          Journal:  Adv Med Sci        ISSN: 1896-1126            Impact factor:   3.287


  11 in total

1.  Independent predictors of delay in emergence from general anesthesia.

Authors:  Shigeru Maeda; Yumiko Tomoyasu; Hitoshi Higuchi; Minako Ishii-Maruhama; Masahiko Egusa; Takuya Miyawaki
Journal:  Anesth Prog       Date:  2015

Review 2.  Personalized pediatric anesthesia and pain management: problem-based review.

Authors:  Senthil Packiasabapathy; Valluvan Rangasamy; Nicole Horn; Michele Hendrickson; Janelle Renschler; Senthilkumar Sadhasivam
Journal:  Pharmacogenomics       Date:  2020-01       Impact factor: 2.533

3.  Impact of CYP2E1, GSTA1 and GSTP1 gene variants on serum alpha glutathione S-transferase level in patients undergoing anaesthesia.

Authors:  Adam Mikstacki; Marzena Skrzypczak-Zielinska; Oliwia Zakerska-Banaszak; Barbara Tamowicz; Maria Skibinska; Marta Molinska-Glura; Marlena Szalata; Ryszard Slomski
Journal:  BMC Med Genet       Date:  2016-05-14       Impact factor: 2.103

4.  Longrange PCR-based next-generation sequencing in pharmacokinetics and pharmacodynamics study of propofol among patients under general anaesthesia.

Authors:  Oliwia Zakerska-Banaszak; Marzena Skrzypczak-Zielinska; Barbara Tamowicz; Adam Mikstacki; Michal Walczak; Michal Prendecki; Jolanta Dorszewska; Agnieszka Pollak; Urszula Lechowicz; Monika Oldak; Kinga Huminska-Lisowska; Marta Molinska-Glura; Marlena Szalata; Ryszard Slomski
Journal:  Sci Rep       Date:  2017-11-13       Impact factor: 4.379

5.  The effect of UGT1A9, CYP2B6 and CYP2C9 genes polymorphism on individual differences in propofol pharmacokinetics among Polish patients undergoing general anaesthesia.

Authors:  Adam Mikstacki; Oliwia Zakerska-Banaszak; Marzena Skrzypczak-Zielinska; Barbara Tamowicz; Michał Prendecki; Jolanta Dorszewska; Marta Molinska-Glura; Malgorzata Waszak; Ryszard Slomski
Journal:  J Appl Genet       Date:  2016-11-08       Impact factor: 3.240

6.  Potential role of pharmacogenomics testing in the setting of enhanced recovery pathways after surgery.

Authors:  Hamdy Awad; Ahmed Ahmed; Richard D Urman; Nicoleta Stoicea; Sergio D Bergese
Journal:  Pharmgenomics Pers Med       Date:  2019-07-26

7.  Influence of Potential Gene Polymorphisms on Propofol Dosage Regimen in Patients Undergoing Abdominal Hysterectomy.

Authors:  E Ivanov; Z Sterjev; I Budic; J Nojkov; D Karadzova; A Sivevski
Journal:  Balkan J Med Genet       Date:  2021-03-23       Impact factor: 0.519

8.  GABRA1 and GABRB2 Polymorphisms are Associated with Propofol Susceptibility.

Authors:  Youjie Zeng; Si Cao; Minghua Chen; Chao Fang; Wen Ouyang
Journal:  Pharmgenomics Pers Med       Date:  2022-02-09

9.  Genetic variation in the CYP2B6 gene is related to circulating 2,2',4,4'-tetrabromodiphenyl ether (BDE-47) concentrations: an observational population-based study.

Authors:  Johanna Penell; Lars Lind; Tove Fall; Anne-Christine Syvänen; Tomas Axelsson; Per Lundmark; Andrew P Morris; Cecilia Lindgren; Anubha Mahajan; Samira Salihovic; Bert van Bavel; Erik Ingelsson; P Monica Lind
Journal:  Environ Health       Date:  2014-05-08       Impact factor: 5.984

Review 10.  Clinical Pharmacokinetics and Pharmacodynamics of Propofol.

Authors:  Marko M Sahinovic; Michel M R F Struys; Anthony R Absalom
Journal:  Clin Pharmacokinet       Date:  2018-12       Impact factor: 6.447

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