Evidence map›Paper›PMID 37249811›Full record

ArticleAMB Express2023

Glycyrrhinic acid and probiotics alleviate deoxynivalenol-induced cytotoxicity in intestinal epithelial cells.

Xiaoxiang Xu, Juan Chang, Ping Wang, Chaoqi Liu, Ting Zhou, Qingqiang Yin, Guorong Yan

Open access · goldAbstract read
In one paragraph

Article in AMB Express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

7 authors at 3 institutions in 2 countries.

Xiaoxiang XuShanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, China.
Juan ChangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Ping WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Chaoqi LiuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Ting ZhouGuelph Research and Development Centre, Agriculture and Agri-Food Canada, Guelph, ON, N1G 5C9, Canada.
Qingqiang YinCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China. qqy1964@henau.edu.cn.
Guorong YanShanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, China. guorongyan@tongji.edu.cn.ORCID http://orcid.org/0000-0001-9200-2959
Henan Agricultural University · CNTongji University · CNAgriculture and Agri-Food Canada · CA

Funding

National Natural Science Foundation of China 82203942Natural Science Foundation project of Shanghai 22ZR1455500
6 · The paper itself

Abstract

Deoxynivalenol (DON) is one of the most prevalent mycotoxin contaminants, which posing a serious health threat to animals and humans. Previous studies have found that individually supplemented probiotic or glycyrrhinic acid (GA) could degrade DON and alleviate DON-induced cytotoxicity. The present study investigated the effect of combining GA with Saccharomyces cerevisiae (S. cerevisiae) and Enterococcus faecalis (E. faecalis) using orthogonal design on alleviating IPEC-J2 cell damage induced by DON. The results showed that the optimal counts of S. cerevisiae and E. faecalis significantly promoted cell viability. The optimal combination for increasing cell viability was 400 µg/mL GA, 1 × 10

Indexed as

Compound probioticsDeoxynivalenolGlycyrrhinic acidInflammationIPEC-J2 cells

Identifiers

PMID37249811
PMCPMC10229512
OpenAlexW4378745990

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.