Evidence map›Paper›PMID 39845032›Full record

ArticleFrontiers in microbiology2024

Deciphering of differences in gut microbiota and plasma metabolites profile between non-obese and obese Golden Retrievers dogs.

Yazhen Cai, Huayu Tang, Guilin Xiang, Hongyu Yi, Jie Zhong, Zhaoxi Xie, Qinfeng Hu, Romaissaa El Bouhi, Pan Zhou, Yong Zhang and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. PasteurizedMicrobiology spectrum · 2026
    Article
  2. 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

11 authors.

Yazhen CaiSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Huayu TangSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Guilin XiangSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Hongyu YiSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Jie ZhongSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Zhaoxi XieSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Qinfeng HuSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Romaissaa El BouhiSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Pan ZhouSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Yong ZhangSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Honglin YanSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Golden Retrievers have a high risk of obesity, which is prevalent in dogs and is associated with inflammation and cancer, impairing the health and life expectancy of companion animals. Microbial and metabolite biomarkers have been proposed for identifying the presence of obesity in humans and rodents. However, the effects of obesity on the microbiome and metabolome of Golden Retrievers remains unknown. Therefore, this study was designed to evaluate the signatures of serum biochemistry indexes, gut microbiota and plasma metabolites in non-obese and obese Golden Retrievers, aiming to recognize potential biomarkers of canine obesity. Methods: A total of 8 non-obese (Ctrl group) and 8 obese (Obe group) Golden Retrievers were included in the present study to collect blood and feces samples for measurements. The fecal microbiome and plasma metabolome were determined using 16S rRNA amplicon sequencing and liquid chromatography-mass spectrometry, respectively. Results: Results showed that the alanine aminotransferase activity and total bilirubin concentration, which have been measured using serum biochemistry analysis, were higher in the Obe group than in the Ctrl group ( Conclusion: The obesity-induced shifts in serum biochemistry indexes, gut microbiota, and plasma metabolites profiles suggest that obese Golden Retrievers exhibit a different microbiome and metabolome than non-obese ones, and the certain metabolites like citrulline and 11-dehydrocorticosterone could be considered as potential biomarkers to recognize obese Golden Retrievers.

Indexed as

Golden Retrievermicrobiotaobesityplasma metabolomeserum biochemistry indexes

Identifiers

PMID39845032
PMCPMC11751222

What Socratic holds

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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.