Pharmacogenetics of chronic pain and its treatment.

Mediators Inflamm

First Faculty of Medicine, Institute of Pharmacology, Charles University Prague, Albertov 4, 12800 Prague, Czech Republic.

Published: December 2013

This paper reviews the impact of genetic variability of drug metabolizing enzymes, transporters, receptors, and pathways involved in chronic pain perception on the efficacy and safety of analgesics and other drugs used for chronic pain treatment. Several candidate genes have been identified in the literature, while there is usually only limited clinical evidence substantiating for the penetration of the testing for these candidate biomarkers into the clinical practice. Further, the pain-perception regulation and modulation are still not fully understood, and thus more complex knowledge of genetic and epigenetic background for analgesia will be needed prior to the clinical use of the candidate genetic biomarkers.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671679PMC
http://dx.doi.org/10.1155/2013/864319DOI Listing

Publication Analysis

Top Keywords

chronic pain
12
pain treatment
8
pharmacogenetics chronic
4
treatment paper
4
paper reviews
4
reviews impact
4
impact genetic
4
genetic variability
4
variability drug
4
drug metabolizing
4

Similar Publications

Background: Posterior scleritis (PS) is a rare phenotype of scleritis. Comprehensive epidemiological studies on PS in children are limited. We aimed to report on its clinical and imaging features in one of the largest pediatric series to date.

View Article and Find Full Text PDF

About one out of two diabetic patients develop diabetic neuropathy (DN), of these 20% experience neuropathic pain (NP) leading to individual, social, and health-economic burden. Risk factors for NP are largely unknown; however, premature aging was recently associated with several chronic pain disorders. DNA methylation-based biological age (DNAm) is associated with disease risk, morbidity, and mortality in different clinical settings.

View Article and Find Full Text PDF

Purpose Of Review: Chronic pain is highly prevalent and involves a complex interaction of sensory, emotional, and cognitive processes, significantly influenced by ambient temperature. Despite advances in pain management, many patients continue to experience inadequate pain relief. This review aims to consolidate and critically evaluate the current evidence on the impact of ambient temperature on chronic pain conditions such as fibromyalgia (FM), multiple sclerosis (MS), complex regional pain syndrome (CRPS), and osteoarthritis (OA).

View Article and Find Full Text PDF

Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.

Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.

View Article and Find Full Text PDF

Background: Given the increasing prevalence of antiplatelet agent use and the lack of high-quality evidence, the CAPTAIN trial aimed to investigate the safety and provide recommendations on continuing acetylsalicylic acid perioperatively in patients undergoing elective laparoscopic totally extraperitoneal inguinal hernia repair (LIHR).

Methods: The CAPTAIN trial was a multicentre, surgeon blind, randomized controlled trial conducted from April 2016 to April 2023. Patients undergoing LIHR were eligible for inclusion.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!