Literature DB >> 23994450

Associations between KCNJ6 (GIRK2) gene polymorphisms and pain-related phenotypes.

Stephen Bruehl1, Jerod S Denton, Daniel Lonergan, Mary Ellen Koran, Melissa Chont, Christopher Sobey, Shanik Fernando, William S Bush, Puneet Mishra, Tricia A Thornton-Wells.   

Abstract

G-protein coupled inwardly rectifying potassium (GIRK) channels are effectors determining degree of analgesia experienced upon opioid receptor activation by endogenous and exogenous opioids. The impact of GIRK-related genetic variation on human pain responses has received little research attention. We used a tag single nucleotide polymorphism (SNP) approach to comprehensively examine pain-related effects of KCNJ3 (GIRK1) and KCNJ6 (GIRK2) gene variation. Forty-one KCNJ3 and 69 KCNJ6 tag SNPs were selected, capturing the known variability in each gene. The primary sample included 311 white patients undergoing total knee arthroplasty in whom postsurgical oral opioid analgesic medication order data were available. Primary sample findings were then replicated in an independent white sample of 63 healthy pain-free individuals and 75 individuals with chronic low back pain (CLBP) who provided data regarding laboratory acute pain responsiveness (ischemic task) and chronic pain intensity and unpleasantness (CLBP only). Univariate quantitative trait analyses in the primary sample revealed that 8 KCNJ6 SNPs were significantly associated with the medication order phenotype (P < .05); overall effects of the KCNJ6 gene (gene set-based analysis) just failed to reach significance (P = .054). No significant KCNJ3 effects were observed. A continuous GIRK Related Risk Score (GRRS) was derived in the primary sample to summarize each individual's number of KCNJ6 "pain risk" alleles. This GRRS was applied to the replication sample, which revealed significant associations (P < .05) between higher GRRS values and lower acute pain tolerance and higher CLBP intensity and unpleasantness. Results suggest further exploration of the impact of KCNJ6 genetic variation on pain outcomes is warranted.
Copyright © 2013 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chronic pain; GIRK; Genetics; KCNJ3; KCNJ6; Pain; Polymorphism; Postsurgical Pain; Potassium channel

Mesh:

Substances:

Year:  2013        PMID: 23994450      PMCID: PMC3845348          DOI: 10.1016/j.pain.2013.08.026

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  16 in total

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Review 10.  Opening paths to novel analgesics: the role of potassium channels in chronic pain.

Authors:  Christoforos Tsantoulas; Stephen B McMahon
Journal:  Trends Neurosci       Date:  2014-01-21       Impact factor: 13.837

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