Evidence map›Paper›PMID 37367857›Full record

ArticleMetabolites2023

Metabolic Profile Analysis of Designer Benzodiazepine Etizolam in Zebrafish and Human Liver Microsomes.

Zhaowei Jie, Shiyang Qin, Wenfang Zhang, Jifen Wang, Jianghai Lu, Ge Qin, Xiaolong Hou, Peng Xu

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Zhaowei JieSchool of Investigation, People's Public Security University of China, Beijing 100038, China.
Shiyang QinForensic Science Service of Beijing Public Security Bureau, Key Laboratory of Forensic Toxicology, Ministry of Public Security, Beijing 100192, China.
Wenfang ZhangForensic Science Service of Beijing Public Security Bureau, Key Laboratory of Forensic Toxicology, Ministry of Public Security, Beijing 100192, China.
Jifen WangSchool of Investigation, People's Public Security University of China, Beijing 100038, China.
Jianghai LuDrug and Food Anti-Doping Laboratory, China Anti-Doping Agency, 1st Anding Road, Beijing 100029, China.
Ge QinSchool of Investigation, People's Public Security University of China, Beijing 100038, China.
Xiaolong HouSchool of Investigation, People's Public Security University of China, Beijing 100038, China.
Peng XuKey Laboratory of Drug Monitoring, Control and Anti Drug Key Technologies, Ministry of Public Security, Anti Drug Information Technology Center of the Ministry of Public Security, Beijing 100193, China.
China People's Public Security University · CNChina Anti-Doping Agency · CNMinistry of Public Security of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the most widely abused designer benzodiazepines worldwide, Etizolam is characterized by its high addiction potential, low production cost, and difficulty in detection. Due to the rapid metabolism of Etizolam in the human body, the probability of detecting the Etizolam parent drug in actual case samples by forensic personnel is low. Therefore, without detecting the parent drug, analysis of Etizolam metabolites can help forensic personnel provide references and suggestions on whether the suspect has taken Etizolam. This study simulates the objective metabolic process of the human body. It establishes a zebrafish in vivo metabolism model and a human liver microsome in vitro metabolism model to analyze the metabolic characteristics of Etizolam. A total of 28 metabolites were detected in the experiment, including 13 produced in zebrafish, 28 produced in zebrafish urine and feces, and 17 produced in human liver microsomes. The UPLC-Q-Exactive-MS technology was used to analyze the structures and related metabolic pathways of Etizolam metabolites in zebrafish and human liver microsomes, and a total of 9 metabolic pathways were identified, including monohydroxylation, dihydroxylation, hydration, desaturation, methylation, oxidative deamination to alcohol, oxidation, reduction acetylation, and glucuronidation. Among them, metabolites involving hydroxylation reactions (including monohydroxylation and dihydroxylation) accounted for 57.1% of the total number of potential metabolites, indicating that hydroxylation may be the major metabolic pathway of Etizolam. Based on the response values of each metabolite, monohydroxylation (M1), desaturation (M19), and hydration (M16) were recommended as potential biomarkers for Etizolam metabolism. The experimental results provide reference and guidance for forensic personnel in identifying Etizolam use in suspects.

Indexed as

Etizolamhuman liver microsomesmetabolic pathwaysmetabolic profilezebrafish

Identifiers

PMID37367857
PMCPMC10301778
OpenAlexW4378528124

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.