Evidence map›Paper›PMID 33322323›Full record

ArticleAnimals : an open access journal from MDPI2020

GC-TOF-MS-Based Metabolomics Analyses of Liver and Intestinal Contents in the Overfed vs. Normally-Fed Geese.

Minmeng Zhao, Ya Xing, Lidong Liu, Xiang Fan, Long Liu, Tuoyu Geng, Daoqing Gong

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Minmeng ZhaoCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Ya XingCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Lidong LiuCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Xiang FanCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Long LiuCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Tuoyu GengCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Daoqing GongCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Yangzhou University · CN

Funding

National Nature Science Foundation of China 31672405, 31972546, 31802052
6 · The paper itself

Abstract

No overt pathological symptoms are observed in the goose liver with severe steatosis, suggesting that geese may host unique protective mechanisms. Gas chromatography time-of-flight mass spectrometry-based metabolomics analyses of liver and intestinal contents in overfed vs. normally fed geese (26 geese in each treatment) were investigated. We found that overfeeding significantly changed the metabolic profiles of liver and intestinal contents. The differential metabolites mainly belong to fatty acids, amino acids, organic acids, and amines. The differential metabolites were involved in glycolysis/gluconeogenesis, glycerolipid metabolism, the pentose phosphate pathway, fatty acid degradation, the sphingolipid signaling pathway, and the biosynthesis of unsaturated fatty acids. Moreover, we determined the biological effects of arachidonic acid (ARA) and tetrahydrocorticosterone (TD) in goose primary hepatocytes and intestinal cells. Data showed that the mRNA expression of arachidonate 5-lipoxygenase (

Indexed as

gooseintestinal tractsmetabolomicsnon-alcoholic fatty liver disease

Identifiers

PMID33322323
PMCPMC7763799
OpenAlexW3112679141

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.