Evidence map›Paper›PMID 42675376›Full record

ArticleRapid communications in mass spectrometry : RCM2026

Profiling and Identification of Novel Tiletamine Metabolites in Human Urine and Hair by Liquid Chromatography Coupled With Quadrupole-Orbitrap Mass Spectrometry.

Shiyang Qin, Guibin Bi, Yuanfeng Wang, Bing Liu, Zhenjia Cui, Xuxiao Zhao, Xiaopei Wu, Jing Jing, Jianghai Lu

Abstract read
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Article in Rapid communications in mass spectrometry : RCM, 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shiyang QinThe Criminal Investigation Department of Beijing Public Security Bureau, Beijing, China.
Guibin BiFada Institute of Forensic Medicine & Science, Beijing, China.
Yuanfeng WangFada Institute of Forensic Medicine & Science, Beijing, China.
Bing LiuResearch Institute for Doping Control, Shanghai University of Sport, Shanghai, China.ORCID https://orcid.org/0000-0002-6337-3774
Zhenjia CuiDoping Preventation Scientific Research Laboratory, China Anti-Doping Agency, Beijing, China.ORCID https://orcid.org/0000-0002-9868-1718
Xuxiao ZhaoDoping Preventation Scientific Research Laboratory, China Anti-Doping Agency, Beijing, China.
Xiaopei WuDoping Preventation Scientific Research Laboratory, China Anti-Doping Agency, Beijing, China.ORCID https://orcid.org/0000-0002-6233-1329
Jing JingDoping Preventation Scientific Research Laboratory, China Anti-Doping Agency, Beijing, China.
Jianghai LuDoping Preventation Scientific Research Laboratory, China Anti-Doping Agency, Beijing, China.ORCID https://orcid.org/0000-0002-4402-8617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleTiletamine, an animal tranquilizer increasingly misused by humans, lacks comprehensive metabolic characterization in authentic biological matrices. To date, tiletamine phase II metabolism remains poorly characterized. This study investigated the metabolic fate of tiletamine in human urine and hair by identifying novel metabolites and elucidating biotransformation pathways relevant to forensic toxicological monitoring.

methodsAuthentic human urine (n = 3) and hair (n = 2) samples from individuals with documented tiletamine exposure were analyzed using liquid chromatography coupled with Q Extractive HF hybrid quadrupole-Orbitrap high-resolution mass spectrometry (LC-QE-HF-MS). Metabolites were detected and identified based on full-scan MS and data-dependent MS/MS (ddMS

resultsA total of 14 urinary metabolites were identified, 11 of which (4 phase I and 7 phase II) were previously unreported. Hydroxylation was the predominant phase I process, whereas glucuronidation predominated among phase II reactions. Methylation and glucuronidation were identified as previously unreported metabolic pathways. In hair samples, tiletamine and four metabolites, including three reduced metabolites and T1, were identified for the first time. In addition, three metabolic transformations, namely, reduction, hydroxylation, and methylation, were newly identified in this matrix. Notably, T1 exhibited substantially higher signal intensities than all other metabolites across all urine samples.

conclusionsThis study substantially expands the known urinary metabolome by identifying novel phase I and II metabolites. The consistently high abundance of T1 in urine suggests that it is a promising urinary biomarker for monitoring tiletamine use. These findings broaden the range of analytical targets available for toxicological screening and confirmational analysis, thereby improving the detection and monitoring of tiletamine exposure.

Indexed as

HairLiquid Chromatography-Mass SpectrometryTandem Mass SpectrometryChromatography, LiquidFemaleHumansMalehairhuman urineliquid chromatography‐Q Extractive HF hybrid quadrupole‐Orbitrap‐mass spectrometermetabolic profilestiletamine

Identifiers

PMID42675376
PMCPMC13529913

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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.