Sign in
NeuroscienceNeuropharmacology
Peer-reviewed journal article

Acetaminophen alters endogenous lipid signaling and attenuates pathological pain through a mechanism requiring diacylglycerol lipase, monoacylglycerol lipase and cannabinoid CB1 receptors in mice

Carlos Henrique Alves JesusiD, Jonah L. WirtiD, Taylor J. WoodwardiD, Luana Assis FerreiraiD, Wenwen DuiD, John Hainline, Mirjam C. W. HuizengaiD, Lara Rems, Alexandros MakriyannisiD, Jenna A. HimelsteiniD, Noah M. Brauer, Mario van der SteltiD, Heather B. BradshawiD, Andrea G. HohmanniD

Abstract

Acetaminophen (APAP) produces analgesia through mechanisms that remain poorly understood. Here, we tested the hypothesis that APAP-induced suppression of pathological pain is associated with cannabinoid receptors and activity of enzymes regulating endogenous lipids (diacylglycerol lipase, DAGL; monoacylglycerol lipase, MAGL) including endocannabinoids. APAP suppressed mechanical hypersensitivity in mouse models of post-surgical and inflammatory pain and the DAGL inhibitors (RHC-80267, DO34) and MAGL inhibitor JZL184 blocked APAPs analgesic effects. Global (rimonabant, AM251) but not peripherally restricted (AM6545) cannabinoid receptor antagonists prevented APAP-induced analgesia. APAP increased corticosterone levels >2-fold and reduced prostaglandins >5-fold across the brain and in the paw skin. In addition, APAP reduced up to 39% of signaling lipids detected in the targeted screen in CFA-treated subjects in a tissue-dependent manner. These observations suggest that APAP plays a wider role in endogenous lipid signaling than previously hypothesized and provides novel insight into mechanisms of action.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
2
FWCI
4.57
Field percentile
top 12%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISDvořáková '25Babcock '26Martínez-Ri '24Coutens '26Schwarz '23Jesus '26
81% semantic matchNeuroscience
Michaela Dvořáková, Taryn Bosquez-Berger, Jenna Billingsley+14 more·Cell Reports Medicine·May 16, 2025· 6 citations