Evidence map›Paper›PMID 41599300›Full record

ArticleMolecules (Basel, Switzerland)2026

Study on Phase I Metabolic Processes and Metabolite Biomarker Identification of Synthetic Cannabinoids 5F-ADB-PINACA and 5F-ADBICA in Human Liver Microsomes and Zebrafish Model.

Huan Li, Hui Zheng, Shihao Zhong, Yanbiao Zhao, Jiaman Lin, Hongliang Su, Zhenhua Qian, Yuanfeng Wang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huan LiInstitute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing 100088, China.
Hui ZhengDrug Intelligence and Forensic Center, Ministry of Public Security, Beijing 100193, China.
Shihao ZhongFood and Drug Anti-Doping Laboratory, China Anti-Doping Agency, 1st Anding Road, Chaoyang District, Beijing 100029, China.
Yanbiao ZhaoDrug Intelligence and Forensic Center, Ministry of Public Security, Beijing 100193, China.
Jiaman LinSchool of Investigation, People's Public Security University of China, Beijing 100038, China.
Hongliang SuSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China.
Zhenhua QianDrug Intelligence and Forensic Center, Ministry of Public Security, Beijing 100193, China.
Yuanfeng WangInstitute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing 100088, China.

Funding

National Key Research and Development Program of China 2024YFC3306600
6 · The paper itself

Abstract

Synthetic cannabinoids (SCs) are a rapidly developing kind of novel psychoactive substance, frequently associated with acute intoxication and public health concerns. This study aimed to elucidate and compare the phase I metabolic pathways of two structurally related SCs, 5F-ADB-PINACA and 5F-ADBICA, using in vitro and in vivo models. Temporal metabolic profiling was performed to identify potential signature metabolites. Temporal abundance patterns and correlation cluster analysis of metabolites were analyzed to determine metabolite biomarkers. The two SCs were incubated with pooled human liver microsomes for 24 h and were also evaluated in vivo in zebrafish. Metabolite profiles were characterized using UHPLC-QE Orbitrap-MS. HLM analysis identified 21 5F-ADB-PINACA metabolites and 28 5F-ADBICA metabolites. Metabolites of 5F-ADBICA were detected for the first time in vitro and in a zebrafish model. Zebrafish studies confirmed the presence of all key metabolites observed in HLM. Comparative analysis of their metabolic pathways revealed differences in metabolism driven by structural differences between the indazole and indole cores. This is the first time that correlation analysis has been used in the temporal metabolic profiling of SCs. This study comprehensively characterized the metabolism of 5F-ADB-PINACA and 5F-ADBICA, identifying M13 (hydrolytic defluorination) as a potential metabolite biomarker for 5F-ADB-PINACA and M19 (hydrolytic defluorination) as a potential metabolite biomarker for 5F-ADBICA. The metabolic reactions of the main metabolites of the two synthetic cannabinoids are consistent. However, their metabolic processes (i.e., the overall metabolic pathways and temporal progression of these reactions) are different, which illustrates the metabolic similarity of structurally similar synthetic cannabinoids and the impact of different structures on the metabolic processes.

Indexed as

CannabinoidsIndazolesMicrosomes, LiverAnimalsBiomarkersHumansMetabolic Networks and PathwaysMetabolomeZebrafish5F-ADB cannabinoidBiomarkersCannabinoidsIndazolescorrelation analysishuman liver microsomemetabolite biomarkersynthetic cannabinoidstemporal metabolic profiling

Identifiers

PMID41599300
PMCPMC12844449

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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.