Evidence map›Paper›PMID 42046071›Full record

ArticleRespiratory research2026

CB2 receptor agonist JWH133 attenuates hyperoxia-induced acute lung injury by inhibiting ferroptosis via GPX4 upregulation.

Shi-Jye Chu, Wen-I Liao, Hsin-Ping Pao, Shu-Yu Wu, Shih-En Tang

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Article in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Shi-Jye Chu *Division of Rheumatology, Immunology, and Allergy, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.
Wen-I Liao *Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.
Hsin-Ping PaoInstitute of Aerospace and Undersea Medicine, College of Biomedical Sciences, National Defense Medical University, Taipei, Taiwan.
Shu-Yu WuInstitute of Aerospace and Undersea Medicine, College of Biomedical Sciences, National Defense Medical University, Taipei, Taiwan.
Shih-En TangInstitute of Aerospace and Undersea Medicine, College of Biomedical Sciences, National Defense Medical University, Taipei, Taiwan. msetang@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundActivation of the cannabinoid type 2 (CB2) receptor has been demonstrated to offer protective effects against various inflammatory conditions and tissue injuries across different organs. Ferroptosis, a form of regulated cell death characterized by iron-dependent lipid peroxidation, has been increasingly recognized as a contributor to the severity of acute lung injury (ALI). However, the precise role of CB2 receptor activation in hyperoxia-induced acute lung injury (HALI) remains poorly defined.

methodsThis study investigated the effects of JWH133, a selective CB2 receptor agonist, using both in vivo animal models and in vitro cellular models exposed to hyperoxia conditions. Lung tissue and bronchoalveolar lavage fluid (BALF) were collected at the end of the experiments for analyses, and animal survival rates were recorded throughout the experimental period. Concurrently, mouse lung epithelial cells (MLE-12) were cultured under hyperoxia conditions. To specifically elucidate the role of GPX4, siRNA-mediated knockdown was employed in both animal and cellular models, providing a detailed assessment of its functional relevance.

resultsTreatment with JWH133 significantly improved survival rates, reduced pulmonary edema, and markedly decreased inflammatory cytokine levels, oxidative stress markers, and indicators of ferroptosis in hyperoxia-exposed models. Furthermore, JWH133 effectively inhibited NF-κB signaling and reduced cell death in lung tissues, accompanied by enhanced expression of glutathione peroxidase 4 (GPX4). Consistent with these in vivo findings, hyperoxia-exposed MLE-12 cells treated with JWH133 exhibited similar protective effects. Notably, the protective effects of JWH133 were negated when GPX4 expression was silenced using targeted siRNA in both animal and cellular models.

conclusionOur findings suggest that JWH133 confers protection against HALI primarily by upregulating GPX4 expression, highlighting its potential as a promising therapeutic strategy for HALI.

Indexed as

Acute Lung InjuryCannabinoid Receptor AgonistsCannabinoidsFerroptosisHyperoxiaPhospholipid Hydroperoxide Glutathione PeroxidaseReceptor, Cannabinoid, CB2AnimalsCell LineMaleMiceMice, Inbred C57BLUp-Regulation1,1-dimethylbutyl-1-deoxy-Delta(9)-THCCannabinoid Receptor AgonistsCannabinoidsglutathione peroxidase 4, mousePhospholipid Hydroperoxide Glutathione PeroxidaseReceptor, Cannabinoid, CB2Acute lung injuryCannabinoid receptorFerroptosisGlutathione peroxidase 4 (GPX4)HyperoxiaJWH133

Identifiers

PMID42046071
PMCPMC13289508

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.