Evidence mapPaperPMID 35757244Full record

ArticleFrontiers in nutrition2022

Regulatory Effect of Mung Bean Peptide on Prediabetic Mice Induced by High-Fat Diet.

Lina Li, Yu Tian, Shu Zhang, Yuchao Feng, Haoyu Wang, Xiaoyu Cheng, Yantao Ma, Rui Zhang, Changyuan Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Anti-obesity peptides from food: Production, evaluation, sources, and commercialization.Comprehensive reviews in food science and food safety · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Effects ofMolecules (Basel, Switzerland) · 2022
    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 at 1 institution in 1 country.

Lina LiCollege of Food, Heilongjiang Bayi Agricultural University, Daqing, China.
Yu TianCollege of Food, Heilongjiang Bayi Agricultural University, Daqing, China.
Shu ZhangCollege of Food, Heilongjiang Bayi Agricultural University, Daqing, China.
Yuchao FengCollege of Food, Heilongjiang Bayi Agricultural University, Daqing, China.
Haoyu WangCollege of Food, Heilongjiang Bayi Agricultural University, Daqing, China.
Xiaoyu ChengCollege of Food, Heilongjiang Bayi Agricultural University, Daqing, China.
Yantao MaCollege of Food, Heilongjiang Bayi Agricultural University, Daqing, China.
Rui ZhangLibrary, Heilongjiang Bayi Agricultural University, Daqing, China.
Changyuan WangCollege of Food, Heilongjiang Bayi Agricultural University, Daqing, China.
Heilongjiang Bayi Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary supplementation with mung bean peptides (MBPs) has several health benefits. However, the effect of MBPs on prediabetes and gut microbiota imbalance caused by a high-fat diet (HFD) has not been thoroughly studied. In this study, dietary supplementation with MBPs for 5 weeks significantly reduced HFD-induced body weight gain, hyperglycaemia, hyperlipidaemia, insulin resistance, inflammation, and oxidative stress and alleviated liver and kidney damage in mice. In addition, it significantly reversed the HFD-induced gut microbiota imbalance, increased the gut microbial diversity, and decreased the abundance of Firmicutes and Bacteroidetes in prediabetic mice. Furthermore, we identified

Indexed as

gut microbiotahypoglycaemicinflammatory reactionmung bean peptides (MBPs)oxidative stressprediabetes

Identifiers

PMID35757244
PMCPMC9218720
OpenAlexW4285744373

What Socratic 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 Socratic graph.