The 118A>G single nucleotide polymorphism (SNP) in the μ-opioid receptor (OPRM1) gene has been the most described variant in pharmacogenetic studies regarding opioid drugs. Despite evidence for an altered biological function encoded by this variant, this knowledge is not yet utilized clinically. The aim of the present review was to collect and discuss the available information on the 118A>G SNP in the OPRM1 gene, at the molecular level and in its clinical manifestations. In vitro biochemical and molecular assays have shown that the variant receptor has higher binding affinity for β-endorphins, that it has altered signal transduction cascade, and that it has a lower expression compared with wild-type OPRM1. Studies using animal models for 118A>G have revealed a double effect of the variant receptor, with an apparent gain of function with respect to the response to endogenous opioids but a loss of function with exogenous administered opioid drugs. Although patients with this variant have shown a lower pain threshold and a higher drug consumption in order to achieve the analgesic effect, clinical experiences have demonstrated that patients carrying the variant allele are not affected by the increased opioid consumption in terms of side effects.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3645947 | PMC |
http://dx.doi.org/10.2147/JPR.S42040 | DOI Listing |
J Dairy Sci
January 2025
College of Animal Science and Technology, Northwest A&F University, 22 nt, Xinong Road, Yangling, Shaanxi, China. Electronic address:
Low-coverage whole-genome sequencing (LcWGS), a cost-effective genotyping method, offers greater flexibility in variant detection than does single-nucleotide polymorphism (SNP) chips. However, to our knowledge, no studies have explored the application of LcWGS in sheep. This study aimed to evaluate the feasibility of implementing LcWGS and genotype imputation and assess their applicability in genomic studies of body weight and milk yield in sheep.
View Article and Find Full Text PDFEur J Clin Pharmacol
January 2025
Department of Pharmaceutical Sciences, University of Piemonte Orientale "A. Avogadro", Largo Donegani 2, 28100, Novara, Italy.
Objective: Several studies have attempted to identify genetic determinants of clinical response to opioids administered during labor or after cesarean section. However, their results were often contrasting. A systematic review and meta-analysis was conducted to quantitatively assess the association between gene polymorphisms and clinical outcomes of opioid administration in the treatment of labor pain and post-cesarean pain.
View Article and Find Full Text PDFAm J Physiol Lung Cell Mol Physiol
December 2024
The author is retired. The positions and affiliations are those prior to his retirement.
Important insights and consensus remain lacking for risk prediction of opioid-induced respiratory depression (OIRD), reversal of respiratory depression (RD), the pathophysiology of OIRD, and which sites make the most significant contribution to its induction. The ventilatory response to inhaled carbon dioxide is the most sensitive biomarker of OIRD. To accurately predict respiratory depression (RD), a multivariant RD prospective trial using continuous capnograph and oximetry examining 5 independent variables: age ≥60, sex, opioid naivety, sleep disorders, and chronic heart failure (PRODIGY trial), was undertaken.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
Department of Physics and Astronomy, Clemson University, Clemson, SC 29634, USA.
Opioid use disorder (OUD) affects millions of people worldwide. While it is known that OUD originates from many factors, including social and environmental factors, the role of genetic variants in developing the disease has also been reported. This study aims to investigate the genetic variants associated with the risk of developing OUD upon exposure.
View Article and Find Full Text PDFClin Transl Sci
December 2024
Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!