Evidence map›Paper›PMID 34552567›Full record

ArticleFrontiers in microbiology2021

Microbial Composition and Co-occurrence Patterns in the Gut Microbial Community of Normal and Obese Mice in Response to Astaxanthin.

Yuan Gao, Fang Liu, Robert W Li, Chunjun Li, Changhu Xue, Qingjuan Tang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 2 countries.

Yuan GaoLaboratory of Food Science and Human Health, College of Food Science and Engineering, Ocean University of China, Qingdao, China.
Fang LiuLaboratory of Food Science and Human Health, College of Food Science and Engineering, Ocean University of China, Qingdao, China.
Robert W LiLaboratory of Animal Genomics and Improvement, United States Department of Agriculture, Agriculture Research Service (USDA-ARS), Beltsville, MD, United States.
Chunjun LiLaboratory of Food Science and Human Health, College of Food Science and Engineering, Ocean University of China, Qingdao, China.
Changhu XueLaboratory of Food Science and Human Health, College of Food Science and Engineering, Ocean University of China, Qingdao, China.
Qingjuan TangLaboratory of Food Science and Human Health, College of Food Science and Engineering, Ocean University of China, Qingdao, China.
Ocean University of China · CNUnited States Department of Agriculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The changes and interaction of gut microbiota, which respond to dietary supplements, play critical roles on improving human health. The modulating effect of astaxanthin on gut microbiota has been reported. However, little is known about the co-occurrence patterns among microbial taxa in response to astaxanthin. In this study, the gut microbial composition, co-occurrence patterns, and microbial correlations with physiological parameters in astaxanthin-fed normal and obese mice were studied. Astaxanthin altered the microbial composition and co-occurrence patterns in normal and obese mice. Furthermore, astaxanthin gave more profound impacts on microbiota in obesity when compared with normal mice. In group A (normal or obese mice supplemented with astaxanthin), the abundance of

Indexed as

astaxanthinco-occurrence patternsglobal networkmicrobial compositionmodularity

Identifiers

PMID34552567
PMCPMC8450573
OpenAlexW3198515924

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.