A review of possible biomarkers for opioid tolerance

Forensic Sci Int. 2024 Oct:363:112187. doi: 10.1016/j.forsciint.2024.112187. Epub 2024 Aug 15.

Abstract

Knowledge of opioid tolerance in a deceased person is important for distinguishing between therapeutic and toxic opioid concentrations for that particular individual when interpreting postmortem toxicological results. However, no biomarkers for opioid tolerance are currently available. This review aimed to study the existing literature on mechanisms or changes in signaling pathways related to chronic opioid use, which could be relevant for further studies to identify biomarkers for opioid tolerance. We performed a systematic literature search using the PRISMA 2020 guidelines using the MeSH terms "opioid tolerance AND biomarkers" in PubMed, Embase, WebofScience, and the Cochrane library. A review of the search results yielded seven studies on animal models or humans, identifying and evaluating thirteen possible biomarkers in terms of specificity for changes induced by opioids and other aspects to be considered as potential biomarkers. We evaluated nine potential biomarkers as unlikely to be specific for opioid tolerance, and one had contradictory results in terms of upregulation or downregulation. However, methylation of the promoter region of the μ-opioid receptor gene, increased activity of soluble puromycin-sensitive aminopeptidase, altered miRNA profile, or other multiple component profiling may be interesting to study further as biomarkers for opioid tolerance in forensic postmortem cases.

Keywords: Drug use; Forensic chemistry; Opioid toxicity; Toxicological analysis.

Publication types

  • Systematic Review

MeSH terms

  • Analgesics, Opioid* / pharmacology
  • Analgesics, Opioid* / therapeutic use
  • Animals
  • Biomarkers* / analysis
  • Drug Tolerance*
  • Forensic Toxicology* / methods
  • Humans
  • MicroRNAs / analysis
  • Receptors, Opioid, mu / analysis
  • Receptors, Opioid, mu / genetics

Substances

  • Analgesics, Opioid
  • Biomarkers
  • MicroRNAs
  • Receptors, Opioid, mu