GuoXiang Wang1, Hui Zhang, FeiFang He, XiangMing Fang. 1. Department of Anaesthesiology, First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qing Chun Road Hangzhou, Zhejiang, 310003, China.
Abstract
OBJECTIVE: The CYP2D6*10 allele is the most common allele with a frequency ranging from 51.3 to 70% and correlated with a significantly reduced metabolic activity in a Chinese population. The aim of the present study was to investigate whether the CYP2D6*10 allele has an impact on the postoperative analgesia effect of tramadol in Chinese patients recovering from major abdominal surgery. METHODS: A prospective study design was used and 70 gastric cancer patients recovering from gastrectomy were enrolled. After receiving a loading dose i.v., patients could self-administer doses of the drug combination (10 mg/ml tramadol plus 0.3 mg/ml metoclopramide) via patient-controlled analgesia (PCA). Blood samples were collected after induction of anesthesia. The CYP2D6*10 C188T polymorphism was analyzed by means of polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP). Demographic data among groups with different genotypes were analyzed using analysis of variance. The total consumption of tramadol between the three genotype groups for 48 h was compared. RESULTS: The allele frequency of CYP2D6*10 is 52.4%; patients were categorized into three groups according to the CYP2D6 genotype: patients without CYP2D6*10 (group I, n=17), patients heterozygous for CYP2D6*10 (group II, n=26), and patients homozygous for CYP2D6*10 (group III, n=20). The demographic data among the three groups were comparable. The total consumption of tramadol for 48 h in group III was significantly higher than that in groups I and II, while it did not differ between groups I and II. CONCLUSIONS: This study indicates that the CYP2D6*10 allele has significant impact on analgesia with tramadol in a Chinese population. Pharmacogenetics may explain some of the varying responses to pain medication in postoperative patients.
OBJECTIVE: The CYP2D6*10 allele is the most common allele with a frequency ranging from 51.3 to 70% and correlated with a significantly reduced metabolic activity in a Chinese population. The aim of the present study was to investigate whether the CYP2D6*10 allele has an impact on the postoperative analgesia effect of tramadol in Chinese patients recovering from major abdominal surgery. METHODS: A prospective study design was used and 70 gastric cancerpatients recovering from gastrectomy were enrolled. After receiving a loading dose i.v., patients could self-administer doses of the drug combination (10 mg/ml tramadol plus 0.3 mg/ml metoclopramide) via patient-controlled analgesia (PCA). Blood samples were collected after induction of anesthesia. The CYP2D6*10 C188T polymorphism was analyzed by means of polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP). Demographic data among groups with different genotypes were analyzed using analysis of variance. The total consumption of tramadol between the three genotype groups for 48 h was compared. RESULTS: The allele frequency of CYP2D6*10 is 52.4%; patients were categorized into three groups according to the CYP2D6 genotype: patients without CYP2D6*10 (group I, n=17), patients heterozygous for CYP2D6*10 (group II, n=26), and patients homozygous for CYP2D6*10 (group III, n=20). The demographic data among the three groups were comparable. The total consumption of tramadol for 48 h in group III was significantly higher than that in groups I and II, while it did not differ between groups I and II. CONCLUSIONS: This study indicates that the CYP2D6*10 allele has significant impact on analgesia with tramadol in a Chinese population. Pharmacogenetics may explain some of the varying responses to pain medication in postoperative patients.
Authors: Martin McCarthy; Chih-Hung Chang; A Simon Pickard; Anita Giobbie-Hurder; Donald D Price; Olga Jonasson; James Gibbs; Robert Fitzgibbons; Leigh Neumayer Journal: J Am Coll Surg Date: 2005-08 Impact factor: 6.113
Authors: F J Gonzalez; R C Skoda; S Kimura; M Umeno; U M Zanger; D W Nebert; H V Gelboin; J P Hardwick; U A Meyer Journal: Nature Date: 1988-02-04 Impact factor: 49.962
Authors: Michael O Baclig; Rey Z Predicala; Cynthia A Mapua; Jingky P Lozano-Kühne; Maria Luisa G Daroy; Filipinas F Natividad; Francis O Javier Journal: Int J Mol Epidemiol Genet Date: 2012-05-15
Authors: Ondrej Slanar; Milan Nobilis; Jaroslav Kvétina; Olga Matousková; Jeffrey R Idle; Frantisek Perlík Journal: Eur J Clin Pharmacol Date: 2007-01-30 Impact factor: 2.953