Evidence map›Paper›PMID 39195547›Full record

ArticleMetabolites2024

Bile Acid Composition and Transcriptome Analysis of the Liver and Small Intestine in Different Species.

Dongming Qi, Tingting Zheng, Maosen Yang, Zhiying Huang, Tao Wang, Qiang Wang, Binlong Chen

Abstract read
In one paragraph

Article in Metabolites, 2024. 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
–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

1 citing paper in PubMed.

  1. 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

7 authors.

Dongming QiCollege of Animal Science, Xichang University, Xichang 615000, China.
Tingting ZhengSchool of Life Sciences, China West Normal University, Nanchong 637009, China.
Maosen YangState Key Laboratory for Conservation and Utilization of Subtropical Agrobioresources, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Zhiying HuangCollege of Animal Science, Shanxi Agricultural University, Taiyuan 030801, China.
Tao WangSchool of Pharmacy, Chengdu University, Chengdu 610106, China.
Qiang WangNingnan County Bureau of Agriculture and Rural Affairs, Xichang 615400, China.
Binlong ChenCollege of Animal Science, Xichang University, Xichang 615000, China.

Funding

High School Projects of Xichang University LGLZ202306Key Research and development Project of Liangshan Science and Technology Bureau 21KJCX0011National Natural Science Foundation of China 32360905
6 · The paper itself

Abstract

Bile, a crucial fluid produced continuously by the liver, plays an essential role in digestion within the small intestine. Beyond its primary function in lipid digestion, bile also acts as a pathway for the elimination of various endogenous and exogenous substances. There have been limited studies focusing on interspecies differences. This study offers a comprehensive analysis of bile acid (BA) composition and its correlation with gene expression patterns across six different species, including mammals and poultry, through combining Liquid Chromatography-Mass Spectrometry (LC-MS) and transcriptome sequencing. The BA profiles revealed distinct metabolite clusters: D-glucuronic acid (GLCA) and glycochenodeoxycholic acid (GCDCA) were predominant in mammals, while taurolithocholic acid (TLCA) and T-alpha-MCA were prevalent in poultry, highlighting species-specific BA compositions. Differentially abundant metabolites, particularly GDCA, glycohyodeoxycholic acid (GHDCA) and taurodeoxycholic acid (TDCA) showed significant variations across species, with pigs showing the highest BA content. Transcriptome analysis of the liver and small intestine tissues of 56 cDNA libraries across the six species revealed distinct mRNA expression patterns. These patterns clustered samples into broad categories based on tissue type and phylogenetic relationships. Furthermore, the correlation between gene expression and BA content was examined, identifying the top 20 genes with significant associations. These genes potentially serve as biomarkers for BA regulation.

Indexed as

BA contentcorrelation analysisdifferent speciesmRNA

Identifiers

PMID39195547
PMCPMC11355998

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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.