Evidence map›Paper›PMID 41515972›Full record

ArticleInternational journal of molecular sciences2025

Integrated Network Toxicology and Metabolomics Reveal the Ovarian Toxicity Mechanisms of Chronic Carbofuran Exposure in Female Mice.

Di Liang, Hongyu Su, Xian Ju

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

3 authors.

Di LiangSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China.ORCID 0009-0009-3362-5879
Hongyu SuWest China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610000, China.ORCID 0009-0002-7817-6498
Xian JuSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China.ORCID 0009-0003-9126-6057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbofuran, a widely used carbamate pesticide, is an endocrine disruptor with documented reproductive toxicity, yet the mechanisms underlying its ovarian toxicity remain incompletely understood. This study employed integrated network toxicology and untargeted metabolomics to investigate these mechanisms in female C57BL/6J mice that had been chronically exposed to carbofuran (0.5 or 2.0 mg/kg for 45 days, once daily). Methods included histopathological evaluation, serum hormone ELISA, network prediction of toxicity targets, molecular docking, and metabolomics profiling. Results demonstrated that carbofuran exposure induced dose-dependent ovarian damage, including reduced follicular reserve, increased atresia, abnormal corpus luteum, and disrupted hormone levels. Network toxicology identified 38 common targets, with EGFR, GSK3B, APP, and JAK2 as core proteins, indicating potential high affinity. Metabolomics suggests significant alterations in pathways such as phenylalanine, tyrosine, tryptophan biosynthesis and arginine/proline metabolism. Our collective evidence indicates that carbofuran may induce ovarian toxicity through multifaceted mechanisms involving endocrine disruption, oxidative stress, inflammatory activation, and metabolic disturbance. This study provides novel experimental insights into the reproductive toxicity mechanisms of carbofuran, offering a theoretical basis for health risk assessment and intervention strategies.

Indexed as

CarbofuranEndocrine DisruptorsMetabolomeMetabolomicsOvaryAnimalsFemaleMiceMice, Inbred C57BLMolecular Docking SimulationOxidative StressCarbofuranEndocrine Disruptorscarbofuranmetabolomicsnetwork toxicologyovarian toxicityreproductive toxicity

Identifiers

PMID41515972
PMCPMC12786280

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.