Evidence map›Paper›PMID 40076220›Full record

ArticleMolecules (Basel, Switzerland)2025

Hepatotoxicity Evaluation of Levornidazole and Its Three Main Impurities: Based on Structure-Toxicity Classification Prediction Combined with Zebrafish Toxicity Assessment.

Ting Liu, Song Yuan, Luyong Zhang, Dousheng Zhang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Ting LiuInstitute for Food Control, National Institutes for Food and Drug Control, Beijing 102629, China.
Song YuanInstitute for Drug Control, National Institutes for Food and Drug Control, Beijing 102629, China.
Luyong ZhangInstitute for Food Control, National Institutes for Food and Drug Control, Beijing 102629, China.
Dousheng ZhangInstitute for Drug Control, National Institutes for Food and Drug Control, Beijing 102629, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Levornidazole, a nitroimidazole compound, has been linked to hepatotoxic adverse effects in clinical settings. However, the hepatotoxicity of levornidazole and its impurities has not been fully elucidated. This study aimed to predict and evaluate the potential hepatotoxicity of levornidazole, and elucidate the underlying mechanisms of action. Computational models based on support vector machines (SVM) and artificial neural networks (ANN) predicted that levornidazole, ornidazole, and impurity II exhibited hepatotoxic effects. The hepatotoxicity of levornidazole and impurity II was confirmed using a zebrafish toxicity study, with impurity II demonstrating hepatotoxicity at lower doses. Molecular structure analysis revealed that the electronegativity of the side-chain groups and the molecular polarity structure were correlated with the degree of hepatotoxicity. The toxic response was primarily associated with specific structural domains of the molecule, including the 2-methyl-5-nitro-1H-imiddaster-1-yl structure and the substituent groups of 1-chloro and 2(S)-2-methyloxirane. Transcriptome sequencing analysis indicated that levornidazole and impurity II affect multiple metabolic processes in the liver, including glucose, lipid, protein, hormone, and drug metabolism. These findings highlight the potential hepatotoxic risks associated with levomeprazole and its impurities, emphasizing the importance of further investigation and regulatory attention to ensure patient safety.

Indexed as

Chemical and Drug Induced Liver InjuryLiverOrnidazoleAnimalsDrug ContaminationMolecular StructureNeural Networks, ComputerStructure-Activity RelationshipSupport Vector MachineZebrafishOrnidazoleclassification prediction modelhepatotoxicityimpuritieslevornidazolezebrafish

Identifiers

PMID40076220
PMCPMC11901814

What OpenQuestion holds

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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.