Evidence map›Paper›PMID 40863901›Full record

ReviewToxics2025

Mycotoxin-Caused Intestinal Toxicity: Underlying Molecular Mechanisms and Further Directions.

Tian Li, Weidong Qiao, Jiehong Zhou, Zhihui Hao, Gea Oliveri Conti, Tony Velkov, Shusheng Tang, Jianzhong Shen, Chongshan Dai

Abstract readReview
In one paragraph

Review in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Frontiers in microbiology · 2026
    Article
  6. Review
  7. 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

9 authors.

Tian LiState Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Detection of Veterinary Drug Residues and Illegal Additives of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Weidong QiaoState Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Detection of Veterinary Drug Residues and Illegal Additives of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Jiehong ZhouState Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Detection of Veterinary Drug Residues and Illegal Additives of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Zhihui HaoState Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Detection of Veterinary Drug Residues and Illegal Additives of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-9516-6270
Gea Oliveri ContiDepartment of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania 95123, Italy.ORCID 0000-0003-1857-8612
Tony VelkovDepartment of Pharmacology, Biodiscovery Institute, Monash University, Clayton, VIC 3800, Australia.ORCID 0000-0002-0017-7952
Shusheng TangState Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Detection of Veterinary Drug Residues and Illegal Additives of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Jianzhong ShenState Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Detection of Veterinary Drug Residues and Illegal Additives of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Chongshan DaiState Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Detection of Veterinary Drug Residues and Illegal Additives of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-4677-0524

Funding

Guangdong Major Project of Basic and Applied Basic Research 2020B0301030007
6 · The paper itself

Abstract

Mycotoxins represent a group of highly toxic secondary metabolites produced by diverse fungal pathogens. Mycotoxin contaminations frequently occur in foods and feed and pose significant risks to human and animal health due to their carcinogenic, mutagenic, and immunosuppressive properties. Notably, deoxynivalenol, zearalenone, fumonisins (mainly including fumonisins B1, B2, and FB3), aflatoxin B1 (AFB1), and T-2/HT-2 toxins are the major mycotoxin contaminants in foods and feed. Undoubtedly, exposure to these mycotoxins can disrupt gut health, particularly damaging the intestinal epithelium in humans and animals. In this review, we summarized the detrimental effects caused by these mycotoxins on the intestinal health of humans and animals. The fundamental molecular mechanisms, which cover the induction of inflammatory reaction and immune dysfunction, the breakdown of the intestinal barrier, the triggering of oxidative stress, and the intestinal microbiota imbalance, were explored. These signaling pathways, such as MAPK, Akt/mTOR, TNF, TGF-β, Wnt/β-catenin, PKA, NF-kB, NLRP3, AHR, TLR2, TLR4, IRE1/XBP1, Nrf2, and MLCK pathways, are implicated. The abnormal expression of micro-RNA also plays a critical role. Finally, we anticipate that this review can offer new perspectives and theoretical foundations for controlling intestinal health issues caused by mycotoxin contamination and promote the development of prevention and control products.

Indexed as

intestinal healthmicro-RNAmycotoxintoxicity mechanisms

Identifiers

PMID40863901
PMCPMC12390510

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.