The Impact of Opioid Receptor Gene Polymorphism on Fentanyl and Alfentanil’s Analgesic Effects in the Pediatric Perioperative Period

Jelena Lilic,1 Vesna G Marjanovic,1,2 Ivana Budic,1,2 Nikola Stefanovic,3 Dragana Stokanovic,4 Goran T Marjanovic,5,6 Tatjana Jevtovic-Stoimenov,7 Mladjan Golubovic,2,8 Maja Zecevic,9 Radmila Velickovic-Radovanovic4,10

1Clinic for Anesthesia and Intensive Therapy, University Clinical Centre Nis, Nis, Serbia; 2Department of Surgery and Anesthesiology with Reanimatology, Faculty of Medicine, University of Nis, Nis, Serbia; 3Department of Pharmacy, Faculty of Medicine, University of Nis, Nis, Serbia; 4Department of Pharmacology with Toxicology, Faculty of Medicine, University of Nis, Nis, Serbia; 5Department of Immunology, Faculty of Medicine, University of Nis, Nis, Serbia; 6Department of Hematology and Clinical Immunology, University Clinical Centre Nis, Nis, Serbia; 7Institute of Biochemistry, Faculty of Medicine, University of Nis, Nis, Serbia; 8Clinic of Cardiovascular and Transplant Surgery, University Clinical Centre Nis, Nis, Serbia; 9Clinic of Pediatric Surgery, University Clinical Centre Nis, Nis, Serbia; 10Clinic of Nephrology, University Clinical Centre Nis, Nis, Serbia

Correspondence: Jelena Lilic, Clinic for Anesthesia and Intensive Therapy, University Clinical Centre Nis, Zorana Djindjica Blvd 48, Nis, 18000, Serbia, Tel +381605118400, Email [email protected]

Introduction: The polymorphism of the gene coding mu-opioid receptor (OPRM1) is one of the factors contributing to the variability in the response to opioid analgesics in children. The goal of this study is to investigate its role in association with postoperative acute pain in children of various ages.
Methods: This prospective study analyzed 110 pediatric patients, after plastic or orthopedic surgery, who were genotyped and randomly assigned to receive fentanyl or alfentanil. Postoperative pain was rated using Numerical Rating Scale (0– 10). All the patients were genotyped forOPRM1 118A>G (rs1799971) gene polymorphism.
Results: School children under the age of 11 with the OPRM1 AA genotype were shown to have a higher BMI (pOPRM1, had increased postoperative pain sensitivity and intensity (3.28± 1.95 vs 4.91± 2.17; pAA allele carriers.
Discussion: OPRM1 118A>G polymorphism may explain the variation in the perception of postoperative pain in children over the age of 12 and may be a useful predictor for adjusting the dose of analgesics, but the dose is relative to the patient’s needs regardless of his genetic characteristics. In younger children, carriers of polymorphic OPRM1 118G allele may be protected from obesity, due to diminished MOP expression.

Introduction

The primary application of opioids is the management of both acute and chronic pain. Fentanyl and alfentanil are the opioids that are most frequently used to avoid acute pain during surgery. These drugs achieve their analgesic effect by binding to mu-opioid receptors (MOP). The potency and degree of lipid solubility of these drugs affect their analgesic effects.1 Their administration is further complicated by significant interindividual variations in dosage and adverse effect incidence.2 Children of various ages, sexes, ethnicities, weights, types, or duration of surgery have all had this interindividual variability in opioid dosage documented.3–5 Additionally, the individual expression and distribution of MOP as well as gene polymorphism, which can affect the pharmacokinetics and pharmacodynamics of analgesics, was observed.6,7 As a result, variations in pain perception or analgesic response to a painful procedure may be caused by single nucleotide polymorphisms (SNPs) in the DNA molecule that encode a protein involved in the pain pathway. It is assumed that gene polymorphisms may account for up to 30% in the variability of the opioid dose needed.8 The 118A > G (rs1799971) SNP in the mu-opioid receptor 1 (OPRM1) gene is one of the SNPs that is most frequently investigated for the modulation of opioid analgesic response, showing that G allele is associated with less effective pain relief with the use of standardly dosed opioid analgesics.9–12 ThisOPRM1 receptor polymorphism can alter MOP signaling and/or expression in the human brain, which alters the functional characteristics of the opioid receptor and results in a variety of opioid analgesic effects.13,14 The effects of OPRM1 gene polymorphisms on opioid analgesic dose were previously investigated, however the outcomes varied.15,16 Up to date, there are no clear recommendations on the interpretation of these genetic variants in a clinical setting, as well as little data on its impact on opioid use in the children's population.7

Objective

This study aims to investigate the relationship between the OPRM1 gene polymorphism 118A > G (rs1799971) and the dosage of fentanyl and alfentanil used intraoperatively as well as the level of postoperative pain in children of various ages.

Materials and MethodsPatients

110 patients of the Pediatric Surgery and Orthopedics Clinic at the Niš University Clinical Centre were analyzed in this prospective study. Informed parental or guardian consent was required preoperatively for this type of study in the period from 2021 to 2023. The Ethics Committee of the Niš University Clinical Centre and the Ethics Committee of the Faculty of Medicine of the University of Niš both gave their approval to the study (number 28355/7 of 21.09.2022 and 12-10650/2-5 of 03.10.2022). The study protocol complied with the guidelines outlined in the Helsinki Declaration and conducted with the ethical principles of Good Clinical and Laboratory Practices.17

Children between the ages of 6 and 18 who have physical status I or II, according to the American Society of Anesthesiologists (ASA), underwent elective plastic and orthopedic surgery. The study eliminated any patients who had a history of chronic illnesses, hepatic or renal failure, immunodeficiency, or an infectious condition.

Anesthesia Protocol

In order to achieve general anesthesia, intravenous doses of propofol 2.5 mg/kg, alfentanil 10 mcg/kg or fentanyl 1 mcg/kg, and the muscle relaxant rocuronium 0.6 mg/kg, were administered. Patients were connected to mechanical ventilation (volume-controlled ventilation) following tracheal intubation until normocapnia was achieved. Propofol (6 mg/kg/h), intermittent boluses of alfentanil 10 mcg/kg or fentanyl 1 mcg/kg, and the use of oxygen and medical air were used to maintain anesthesia. With the use of atropine (0.01 mg/kg) and prostigmine (0.025 mg/kg), the neuromuscular block was reversed. The patients were extubated after achieving spontaneous breathing, and they were then moved, over the course of the following 30 min, first to the Post Anesthesia Care Unit and then to the Surgical Department. At the end of surgery, a single dose of fentanyl or alfentanil was administered for postoperative analgesia.

Monitoring

ECG, pulse oximeter, and non-invasive blood pressure measurement were used to monitor patients. Monitoring of heart rate and systolic and diastolic pressure was used to determine the level of pain during the procedure. In addition, the total quantity of fentanyl or alfentanil, the number of opioid doses administered during surgery, the total dose of propofol, the length of the procedure, and the anesthesia were all monitored.

In the first hour following surgery, postoperative pain assessment was evaluated using a Numerical Rating Scale (NRS). This scale is the simplest and most commonly used scale for older children who can count and understand numbers.18 The level of pain was rated from 0 to 10 (0- no pain at all, 10- The worst pain imaginable), by the children themselves or with the help of the legal parent/guardian.

Patients’ characteristics, as well as the drug dosing regimens are shown in Table 1.

Table 1 Patients’ Baseline Characteristics, Drug Dosing Regimens, and Postoperative Pain Level According to the Opioid Used

School children, between the ages of 6 and 11 (45 patients), and adolescent children, between the ages of 12 and 18 (65 patients), were split into two groups based on age.

Material Sampling

Peripheral venous blood samples (2 mL) for DNA extraction were collected prior to surgery in a tube containing EDTA as an anticoagulant, and immediately frozen and stored at −20°C until further processing.

Genomic DNA was extracted from blood using a commercial kit on silica-based columns. The Real-Time PCR method of commercially available Master Mix and an assay containing appropriate probes and primers (Applied Biosystems, commercial probe and primers: C___8950074_1_) were used to examine the gene polymorphism 118A > G (rs1799971) on the OPRM1 gene. The Real-Time PCR was performed in accordance with manufacturer’s instructions.

Statistical Analysis

Data analysis was performed using Statistical Package for Social Sciences (SPSS v. 25, Chicago, IL, USA). Depending on the normality of distribution, continuous variables are presented as means with standard deviation, or as median with interquartile range. Categorical variables are presented in terms of absolute and frequency. The differences between the two study groups were tested by parametric Student’s t-test, or non-parametric Mann–Whitney U-test and Fischer’s exact test. Standard linear univariate and multivariate regression was performed to determine statistically significant predictors of the postoperative pain level. Statistical significance was measured at level p<0.05.

Results

The study group included 110 patients, 84 male (76.4%) and 26 female (23.6%) aged from 6 to 18 years.

The average age was 12.24±3.38 years, and 45 patients (40.9%) were 11 years old or younger. They were anesthetized by propofol, and analgesia was obtained using an opioid analgesic, fentanyl (52.7%) or alfentanil (47.3%). Opioid analgesic was administered intermittently in boluses intravenously in standard doses during the intraoperative period of general anesthesia. Since fentanyl is approximately 10 times stronger, we have calculated fentanyl equivalent doses for all the patients in alfentanil group dividing by 10.19

The only statistically significant difference between alfentanil and fentanyl groups was a higher frequency of male patients in alfentanil group (p<0.05) as shown in Table 1.

OPRM1 118A>G polymorphism frequency

Polymorphic G allele was present in a study sample with a frequency of 0.152. Based on Hardy-Weinberg equilibrium, the obtained genotype frequencies do not deviate significantly from the expected. The allele and genotype frequencies are presented in Table 2.

Table 2 OPRM1 Allele and Genotype Frequencies

Due to the low frequency of GG genotype, patients were divided into wild-type carriers (AA genotype) and G allele carriers (heterozygous or homozygous). Their characteristics, in association with OPRM1 genotype, are presented in Table 3. There were no statistically significant differences between these two groups in any of the characteristics or the dosing regimens. Although the difference was not significant, the carriers with the G allele had more opioid doses per patient than AA genotype carriers (3.62±1.13 vs 3.17±0.96, p=0.076).

Table 3 Patients’ Baseline Characteristics, Drug Dosing Regimens, and Postoperative Pain Level According to OPRM1 Genotype

OPRM1 polymorphism and postoperative pain in school children and adolescents

Subsequently, we have analyzed the OPRM1 genotype effects separately in school children and adolescents group (Table 4 and Table 5). In school children, the only statistically significant difference noted is that AA patients had a higher BMI (p<0.05). In 12 year old children and older, significantly higher level of postoperative pain was observed in G carriers (p<0.05), despite all the other characteristics and drug dosing were similar.

Table 4 Patients’ Baseline Characteristics, Drug Dosing Regimens, and Postoperative Pain Level According to OPRM1 Genotype in School Children (6–11 Years Old)

Table 5 Patients’ Baseline Characteristics, Drug Dosing Regimens, and Postoperative Pain Level According to OPRM1 Genotype in Adolescents (12–18 Years Old)

In adolescents, the postoperative pain level was 3.60±2.08 (from 1 to 9). The only statistically significant predictor of the postoperative pain level was OPRM1 genotype (F=5.984, p<0.05). The variance in the postoperative pain level is in 8.2% explained by the presence of G alleles in the genotype – each G allele increases the pain level by 1.3 (95% CI=0.2–2.4) (p<0.05). No statistically significant predictor of postoperative pain level in school children was observed.

Discussion

Single nucleotide polymorphisms (SNPs) in the pain pathway have been linked to variations in pain perception or analgesic response following painful procedures, according to a number of studies.20–25 We have determined the frequency of the polymorphic G allele of 15.2%. In the school-aged and adolescent groups of children, according to our prospective study, the total dose and the number of repeated doses of both analgesics were similar. In both genotype groupsOPRM1 genotype had no impact on the intraoperative dosing regimen of fentanyl and alfentanil. Regardless, postoperative pain was considerably higher in children over the age of 12, who were carriers of the G allele of the gene polymorphism OPRM1 118A>G. Therefore, the OPRM1 genotype can be used in predicting the severity of postoperative pain and modifying the dose of opioid analgesics, based on the child’s age.

The intensity of postoperative pain in children can depend on numerous factors such as age, multiple localization of pain, presence of depression, previous hospitalizations, absence from school and disability due to pain.26 The retrospective study by Avian et al27 showed an increased pain rating with age. The reason for that is in increased vocalization of pain and better presentation of pain of older children. This is in agreement with our finding that postoperative pain was significantly higher in children over the age of 12. At the same time, these patients were carriers of the G allele of the gene polymorphism OPRM1 118A>G.

Adolescents with the OPRM1 G allele polymorphism experienced much higher level of postoperative pain, with each G allele raising pain level by 1.3 (95% CI=0.2–2.4), suggesting it may be a significant predictor of postoperative pain level. In a study by Lee et al,9 a higher frequency of the G allele was found in 37.5% of children between the ages of 5 and 18, who underwent tonsillectomy. Patients with at least one G allele for OPRM1 (AG/GG) experienced more intense postoperative pain, after administration of morphine, in comparison to children with the AA genotype. Chidambaran et al28 demonstrated that increased postoperative pain was linked to the G allele in children between the ages of 10 and 18. In addition to having a lower degree of postoperative analgesia after morphine administration, pediatric patients also have a lower risk of respiratory depression. In the study by Mamie et al,29 children between the ages of 4 and 16 and with the G allele, had more postoperative pain than those with the AA genotype in the 24 hr following orthopedic or abdominal surgery.

In our study, the carriers of different alleles were similar concerning basic characteristics, except that school children patients younger than 12 years with the AA genotype had considerably higher BMIs, which was later shown not to be significant in predicting the intensity of postoperative pain. Previous study supported this finding that BMI is not associated with postoperative pain level in children.30 There is a possible explanation of the higher BMI this group. MOP has a role in the control of adipose tissue deposition, dependent on age, gender, and type of diet.31–33 Opioid neurotransmission plays a significant role in the rewarding and homeostatic mechanisms of obesity. In rat models, it was shown that a high-fat diet leads to epigenetic changes and up-regulation of MOP, linking receptor expression with obesity.32 Additionally, these receptors are involved in the modulation of the dietary intake.33 There are no data in the literature explaining the association between OPRM1 genotype and BMI in children. Since the investigated OPRM1 polymorphism affects receptor expression, we propose that polymorphic MOP may act protectively in younger children against obesity.

These polymorphism effects have been demonstrated in both pediatric and adult populations.9,20–22,25,28,34,35 Similar results with adult patients were also obtained by Campa et al,36 who demonstrated that one polymorphic G allele in the genotype is sufficient for the lower analgesic effect of opioids, which justifies the grouping of patients in our study into AA homozygotes and G allele carriers (GA + GG).

Additionally, it was found in the study conducted by Klepstad et al37 that 118G/G homozygotes require a larger dose of morphine to achieve analgesia in the first 48 hr following surgery compared to 118A/G heterozygotes and 118A/A homozygotes, which is in agreement with the study by Chou et al.38 The results obtained in our study are in line with earlier studies. Higher doses of opioid analgesic were given to carriers of the polymorphic G allele. Although a larger sample size would have revealed the existence of a variation in opioid dosage between the two patient groups, this difference was not statistically significant. The OPRM1 118A>G polymorphism can affect the analgesic and respiratory-depressant effects of alfentanil in comparison to other opioid analgesics. Alfentanil’s analgesic effects are thereby diminished in heterozygotes with only one G allele, and its respiratory-depressant effects are diminished in individuals who are homozygous carriers of the 118G allele.20 According to the studies stated above, there is statistically significant variation in dose based on OPRM1 gene polymorphisms. However, other studies failed to demonstrate a variation in opioid dose in relation to OPRM1 gene polymorphism.16,39

So far, only a few clinical studies have examined the impact of opioid receptor polymorphism on the analgesic effectiveness of fentanyl or alfentanil in young patients. The analgesic efficacy of these analgesics during the perioperative period requires further study in a larger sample of pediatric patients. In the future, it will be necessary to base clinical practice in the dosing of opioid analgesics on genetic variations in children. Moreover, in younger children, carriers of polymorphic OPRM1 118G allele may be protected from obesity due to diminished MOP expression.

Study Limitations

Given that children are the most vulnerable population and that this study was conducted in just one institution, the sample size is the study’s most significant limitation. A larger sample size would make it possible to identify more variations among patients with different genotypes. For the same reason, the study group included patients treated with two different analgesics, fentanyl and alfentanil, although there is no evidence that the presence of the OPRM1 polymorphism affects the effectiveness of these two opioid analgesics in a different way.

Conclusion

According to the results of our study, postoperative pain is much more common in children over the age of 12 who carry the G allele of the gene polymorphism OPRM1 118A>G (rs1799971). It could be a useful predictor of the severity of postoperative pain. Even though the OPRM1 genotyping is not a routine test, an information on the presence of a polymorphic G allele could be useful in adjusting the dose of opioid analgesics in children of various ages, especially adolescents, but the dose is relative to the patient’s needs regardless of his genetic characteristics. Since the investigated OPRM1 polymorphism affects diminished receptor expression, we propose that polymorphic MOP may act protectively in younger children against obesity.

Acknowledgments

This research was supported by the Internal Project of the Faculty of Medicine, University of Nis, Republic of Serbia (int-MF-42/2020-23).

Disclosure

The authors report no conflicts of interest in this work.

References

1. Ziesenitz VC, Vaughns JD, Koch G, Mikus G, van den Anker JN. Pharmacokinetics of fentanyl and its derivatives in children: a comprehensive review. Clin Pharmacokinet. 2018;57(2):125–149. doi:10.1007/s40262-017-0569-6

2. Aubrun F, Langeron O, Quesnel C, Coriat P, Riou B. Relationships between measurement of pain using visual analog score and morphine requirements during postoperative intravenous morphine titration. Anesthesiology. 2003;98:1415–1421. doi:10.1097/00000542-200306000-00017

3. Hirschfeld G, Zernikow B, Kraemer N, et al. Development of Somatosensory perception in children: a Longitudinal QST-Study. Neuropediatrics. 2012;43(01):10–16. doi:10.1055/s-0032-1307450

4. Association of PaediatricAnaesthetists of Great Britain and Ireland. Good practice in postoperative and procedural pain management, 2nd edition. PaediatrAnaesth. 2012;22(Suppl 1):1–79. doi:10.1111/j.1460-9592.2012.03838.x

5. Dahmani S, Dupont H, Mantz J, Desmonts JM, Keita H. Predictive factors of early morphine requirements in the post-anaesthesia care unit (PACU). Br J Anaesth. 2001;87(3):385–389. doi:10.1093/bja/87.3.385

6. Fitzgerald M. The development of nociceptive circuits. Nat Rev Neurosci. 2005;6(7):507–520. doi:10.1038/nrn1701

7. Crews KR, Monte AA, Huddart R, et al. Clinical pharmacogenetics implementation consortium guideline for CYP2D6, OPRM1, and COMT genotypes and select opioid therapy. Clin Pharmacol Ther. 2021;110(4):888–896. doi:10.1002/cpt.2149

8. Bastami S, Gupta A, Zackrisson AL, Ahlner J, Osman A, Uppugunduri S. Influence of UGT2B7, OPRM1 and ABCB1 gene polymorphisms on postoperative morphine consumption. Basic Clin Pharmacol Toxicol. 2014;115(5):423–431. doi:10.1111/bcpt.12248

9. Lee MG, Kim HJ, Lee KH, Choi YS. The influence of genotype polymorphism on morphine analgesic effect for postoperative pain in children. Korean J Pain. 2016;29(1):34–39. doi:10.3344/kjp.2016.29.1.34

10. Gong XD, Wang JY, Liu F, et al. Gene polymorphisms of OPRM1 A118G and ABCB1 C3435T may influence opioid requirements in Chinese patients with cancer pain. Asian Pac J Cancer Prev. 2013;14(5):2937–2943. doi:10.7314/apjcp.2013.14.5.2937

11. Chen Y, Chen Q, Cai C, et al. Effect of OPRM1/COMT gene polymorphisms on sufentanil labor analgesia: a cohort study based on propensity score matching. Pharmacogenomics. 2023;24(12):675–684. doi:10.2217/pgs-2023-0103

12. Umukoro NN, Aruldhas BW, Rossos R, Pawale D, Renschler JS, Sadhasivam S. Pharmacogenomics of oxycodone: a narrative literature review. Pharmacogenomics. 2021;22(5):275–290. doi:10.2217/pgs-2020-0143

13. Ofoegbu A, B. Ettienne E. Pharmacogenomics and morphine. J Clin Pharmacol. 2021;61(9):1149–1155. Erratum in: J Clin Pharmacol. 2023 Jun;63(6):747. doi:10.1002/jcph.1873

14. Zhang Y, Wang D, Johnson AD, Papp AC, Sadée W. Allelic expression imbalance of human mu opioid receptor (OPRM1) caused by variant A118G. J Biol Chem. 2005;280(38):32618–32624. doi:10.1074/jbc.M504942200

15. Ren ZY, Xu XQ, Bao YP, et al. The impact of genetic variation on sensitivity to opioid analgesics in patients with postoperative pain: a systematic review and meta-analysis. Pain Physician. 2015;18(2):131–152.

16. Coulbault L, Beaussier M, Verstuyft C, et al. Environmental and genetic factors associated with morphine response in the postoperative period. Clin Pharmacol Ther. 2006;79(4):316–324. doi:10.1016/j.clpt.2006.01.007

17. Howie SR. Blood sample volumes in child health research: review of safe limits. Bull World Health Organ. 2011;89(1):46–53. doi:10.2471/BLT.10.080010

18. Von Baeyer CL. Children’s self-report of pain intensity: what we know, where we are headed. Pain Res Manag. 2009;14(1):39–45. doi:10.1155/2009/259759

19. Mireskandari SM, Abulahrar N, Darabi ME, Rahimi I, Haji-Mohamadi F, Movafegh A. Comparison of the effect of fentanyl, sufentanil, alfentanil and remifentanil on cardiovascular response to tracheal intubation in children. Iran J Pediatr. 2011;21(2):173–180.

20. Wu WD, Wang Y, Fang YM, Zhou HY. Polymorphism of the micro-opioid receptor gene (OPRM1 118A>G) affects fentanyl-induced analgesia during anesthesia and recovery. Mol Diagn Ther. 2009;13(5):331–337. doi:10.1007/BF03256337

21. Oertel BG, Schmidt R, Schneider A, Geisslinger G, Lötsch J. The μ-opioid receptor gene polymorphism 118A>G depletes alfentanil-induced analgesia and protects against respiratory depression in homozygous carriers. Pharmacogenet Genomics. 2006;16(9):625–636. doi:10.1097/01.fpc.0000220566.90466.a2

22. Chou WY, Wang CH, Liu PH, Liu CC, Tseng CC, Jawan B. Human opioid receptor A118G polymorphism affects intravenous patient-controlled analgesia morphine consumption after total abdominal hysterectomy. Anesthesiology. 2006;105(2):334–337. doi:10.1097/00000542-200608000-00016

23. Sadhasivam S, Chidambaran V, Olbrecht VA, et al. Genetics of pain perception, COMT and postoperative pain management in children. Pharmacogenomics. 2014;15(3):277–284. doi:10.2217/pgs.13.248

24. De Gregori M, Garbin G, De Gregori S, et al. Genetic variability at COMT but not at OPRM1 and UGT2B7 loci modulates morphine analgesic response in acute postoperative pain. Eur J Clin Pharmacol. 2013;69(9):1651–1658. doi:10.1007/s00228-013-1523-7

25. Hajj A, Peoc’h K, Laplanche JL, et al. Genotyping test with clinical factors: better management of acute postoperative pain? Int J Mol Sci. 2015;16(3):6298–6311. doi:10.3390/ijms16036298

26. Zernikow B, Wager J, Hechler T, et al. Characteristics of highly impaired children with severe chronic pain: a 5-year retrospective study on 2249 pediatric pain patients. BMC Pediatr. 2012;12(54). doi:10.1186/1471-2431-12-54

27. Avian A, Messerer B, Wünsch G, Weinberg A, Kiesling AS, Berghold A. Postoperative paediatric pain prevalence: a retrospective analysis in a university teaching hospital. Int J Nurs Stud. 2016;62:36–43. doi:10.1016/j.ijnurstu.2016.07.011

28. Chidambaran V, Mavi J, Esslinger H, et al. Association of OPRM1 A118G variant with risk of morphine-induced respiratory depression following spine fusion in adolescents. Pharmacogenomics J. 2015;15(3):255–262. doi:10.1038/tpj.2014.59

29. Mamie C, Rebsamen MC, Morris MA, Morabia A. First evidence of a polygenic susceptibility to pain in a pediatric cohort. AnesthAnalg. 2013;116(1):170–177. doi:10.1213/ANE.0b013e31826f0637

30. Cohen B, Tanios M, Koyuncu O, et al. Association between higher BMI and postoperative pain and opioid consumption in pediatric inpatients – a retrospective cohort study. J ClinAnesth. 2020;62(109729). doi:10.1016/j.jclinane.2020.109729

31. Zuberi AR, Townsend L, Patterson L, Zheng H, Berthoud HR. Increased adiposity on normal diet, but decreased susceptibility to diet-induced obesity in mu-opioid receptor-deficient mice. Eur J Pharmacol. 2008;585(1):14–23. doi:10.1016/j.ejphar.2008.01.047

32. Pucci M, Micioni Di Bonaventura MV, Vezzoli V, et al. Preclinical and clinical evidence for a distinct regulation of mu opioid and type 1 cannabinoid receptor genes expression in obesity. Front Genet. 2019;10:523. doi:10.3389/fgene.2019.00523

33. Haghighi A, Melka MG, Bernard M, et al. Opioid receptor mu 1 gene, fat intake and obesity in adolescence. Mol Psychiatry. 2014;19(1):63–68. doi:10.1038/mp.2012.179

34. Kim KM. Opioid pharmacogenetics in anesthesia and pain management. Anesth Pain Med. 2015;10(2):65–76. doi:10.17085/apm.2015.10.2.65

35. Lee SH, Kim JD, Park SA, Oh CS, Kim SH. Effects of µ-Opioid receptor gene polymorphism on postoperative nausea and vomiting in patients undergoing general anesthesia with remifentanil: double blinded randomized trial. J Korean Med Sci. 2015;30(5):651–657. doi:10.3346/jkms.2015.30.5.651

36. Campa D, Gioia A, Tomei A, Poli P, Barale R. Association of ABCB1/MDR1 and OPRM1 gene polymorphisms with morphine pain relief. Clin Pharmacol Ther. 2008;83(4):559–566. doi:10.1038/sj.clpt.6100385

37. Klepstad P, Rakvåg TT, Kaasa S, et al. The 118 A>G polymorphism in the human mu-opioid receptor gene may increase morphine requirements in patients with pain caused by malignant disease. Acta Anaesthesiol Scand. 2004;48(10):1232–1239. doi:10.1111/j.1399-6576.2004.00517.x

38. Chou W-Y, Yang L-C, H-F L, et al. Association of mu-opioid receptor gene polymorphism (A118G) with variations in morphine consumption for analgesia after total knee arthroplasty. Acta Anaesthesiol Scand. 2006;50(7):787–792. doi:10.1111/j.1399-6576.2006.01058.x

39. Klepstad P, Fladvad T, Skorpen F, et al. Influence from genetic variability on opioid use for cancer pain: a European genetic association study of 2294 cancer pain patients. Pain. 2011;152(5):1139–1145. doi:10.1016/j.pain.2011.01.040

留言 (0)

沒有登入
gif