Literature DB >> 31454083

Pharmacogenetics of opioids: a narrative review.

S Kumar1, P Kundra2, K Ramsamy1, A Surendiran1.   

Abstract

Advances in the field of pharmacogenomics have resulted in the discovery of some important single-nucleotide polymorphisms which are found to be associated with opioid dose variability. This, to a large extent, explains genetic variability in the analgesic dose of opioids. These polymorphisms are found in various areas relevant to pain perception, including the nociceptive and antinociceptive pathways, drug receptors, drug-metabolising enzymes and drug efflux molecules. An in-depth knowledge of single-nucleotide polymorphisms can help clinicians to address interindividual variability in opioid dosing and requirements. In the era of precision medicine, these genetic markers can also help us to design prognostic tools to accurately predict the analgesic dose of opioids.
© 2019 Association of Anaesthetists.

Entities:  

Keywords:  analgesia; hyperalgesia; opioids; pain; pharmacogenetics

Mesh:

Substances:

Year:  2019        PMID: 31454083     DOI: 10.1111/anae.14813

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  6 in total

1.  Risk factors associated with persistent chronic opioid use following THA.

Authors:  Afshin A Anoushiravani; Kelvin Y Kim; Mackenzie Roof; Kevin Chen; Casey M O'Connor; Jonathan Vigdorchik; Ran Schwarzkopf
Journal:  Eur J Orthop Surg Traumatol       Date:  2020-01-02

2.  Rapid detection of single nucleotide polymorphisms using the MinION nanopore sequencer: a feasibility study for perioperative precision medicine.

Authors:  Yoshiteru Tabata; Yoshiyuki Matsuo; Yosuke Fujii; Atsufumi Ohta; Kiichi Hirota
Journal:  JA Clin Rep       Date:  2022-03-04

3.  Short Tandem Repeat Variation in the CNR1 Gene Associated With Analgesic Requirements of Opioids in Postoperative Pain Management.

Authors:  Shinya Kasai; Daisuke Nishizawa; Junko Hasegawa; Ken-Ichi Fukuda; Tatsuya Ichinohe; Makoto Nagashima; Masakazu Hayashida; Kazutaka Ikeda
Journal:  Front Genet       Date:  2022-03-03       Impact factor: 4.772

4.  Ortholog genes from cactophilic Drosophila provide insight into human adaptation to hallucinogenic cacti.

Authors:  Julian Padró; Diego N De Panis; Pierre Luisi; Hernan Dopazo; Sergio Szajnman; Esteban Hasson; Ignacio M Soto
Journal:  Sci Rep       Date:  2022-08-01       Impact factor: 4.996

Review 5.  Potential Pharmacokinetic Drug-Drug Interactions between Cannabinoids and Drugs Used for Chronic Pain.

Authors:  Marta Vázquez; Natalia Guevara; Cecilia Maldonado; Paulo Cáceres Guido; Paula Schaiquevich
Journal:  Biomed Res Int       Date:  2020-08-13       Impact factor: 3.411

6.  Identification of sex-specific genetic associations in response to opioid analgesics in a White, non-Hispanic cohort from Southeast Minnesota.

Authors:  Guilherme S Lopes; Jaime L Lopes; Suzette J Bielinski; Sebastian M Armasu; Ye Zhu; Dana C Cavanaugh; Ann M Moyer; Debra J Jacobson; Liwei Wang; Ruoxiang Jiang; Jennifer L St Sauver; Nicholas B Larson
Journal:  Pharmacogenomics J       Date:  2022-01-31       Impact factor: 3.245

  6 in total

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