Evidence map›Paper›PMID 32777887›Full record

ArticleAnimal bioscience2021

Effect of commercially purified deoxynivalenol and zearalenone mycotoxins on microbial diversity of pig cecum contents.

Kondreddy Eswar Reddy, Minji Kim, Ki Hyun Kim, Sang Yun Ji, Youlchang Baek, Ju Lan Chun, Hyun Jung Jung, Changyong Choe, Hyun Jeong Lee, Minseok Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Animal bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Zearalenone exposure and the mammalian gut microbiome: a systematic review of the literature.Toxicological sciences : an official journal of the Society of Toxicology · 2026
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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

11 authors at 2 institutions in 1 country.

Kondreddy Eswar ReddyAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Minji KimAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Ki Hyun KimAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Sang Yun JiAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Youlchang BaekAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Ju Lan ChunAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Hyun Jung JungAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Changyong ChoeDivision of Animal Disease and Health, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Hyun Jeong LeeAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Minseok KimAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Sung Dae LeeAnimal Nutrition and Physiology Team, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Rural Development Administration · KRChonnam National University · KR

Funding

Rural Development Administration PJ01093202
6 · The paper itself

Abstract

objectiveDeoxynivalenol (DON) and zearalenone (ZEN) are mycotoxins that frequently contaminate maize and grain cereals, imposing risks to the health of both humans and animals and leading to economic losses. The gut microbiome has been shown to help combat the effects of such toxins, with certain microorganisms reported to contribute significantly to the detoxification process.

methodsWe examined the cecum contents of three different dietary groups of pigs (control, as well as diets contaminated with 8 mg DON/kg feed or 0.8 mg ZEN/kg feed). Bacterial 16S rRNA gene amplicons were acquired from the cecum contents and evaluated by next-generation sequencing.

resultsA total of 2,539,288 sequences were generated with ~500 nucleotide read lengths. Firmicutes, Bacteroidetes, and Proteobacteria were the dominant phyla, occupying more than 96% of all three groups. Lactobacillus, Bacteroides, Megasphaera, and Campylobacter showed potential as biomarkers for each group. Particularly, Lactobacillus and Bacteroides were more abundant in the DON and ZEN groups than in the control. Additionally, 52,414 operational taxonomic units were detected in the three groups; those of Bacteroides, Lactobacillus, Campylobacter, and Prevotella were most dominant and significantly varied between groups. Hence, contamination of feed by DON and ZEN affected the cecum microbiota, while Lactobacillus and Bacteroides were highly abundant and positively influenced the host physiology.

conclusionLactobacillus and Bacteroides play key roles in the process of detoxification and improving the immune response. We, therefore, believe that these results may be useful for determining whether disturbances in the intestinal microflora, such as the toxic effects of DON and ZEN, can be treated by modulating the intestinal bacterial flora.

Indexed as

DeoxynivalenolDetoxificationIntestineMycotoxinsPigZearalenone

Identifiers

PMID32777887
PMCPMC7876725
OpenAlexW3025993123

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.