Evidence map›Paper›PMID 33042089›Full record

ArticleFrontiers in microbiology2020

Effects of High Carbohydrate Diet-Modulated Microbiota on Gut Health in Chinese Perch.

Yanpeng Zhang, Xu-Fang Liang, Shan He, Xu Chen, Jie Wang, Jiao Li, Qiangsheng Zhu, Zhen Zhang, Lu Li, Muhammad Shoaib Alam

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Using Gut Microbiota Modulation as a Precision Strategy Against Obesity.International journal of molecular sciences · 2025
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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

10 authors.

Yanpeng ZhangCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.
Xu-Fang LiangCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.
Shan HeCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.
Xu ChenCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.
Jie WangCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.
Jiao LiCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.
Qiangsheng ZhuCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.
Zhen ZhangCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.
Lu LiCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.
Muhammad Shoaib AlamCollege of Fisheries, Chinese Perch Research Center, Huazhong Agricultural University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High carbohydrate diet-induced damage in gut is linked to changes in gut permeability and microbiota. However, the mechanisms of action are not clear, especially in non-mammals. We performed the gut microbiota profiling in Chinese perch fed with different content of starch diets (0, 10, and 20%) by 16S rRNA sequencing. The gut permeability, metabolites, histological analysis, and inflammatory infiltration were evaluated. We found that gut microbial diversity, beneficial bacteria quantity, and lactic acid content were higher in C10 group than in the other groups. The lower level of gut microbial diversity was observed in C20 group, and

Indexed as

butyric acidgut healthgut microbiotahigh-carbohydrate dietmycoplasmaPICRUSt predicted functions

Identifiers

PMID33042089
PMCPMC7523390

What OpenQuestion holds

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Registered trials

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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.