Evidence map›Paper›PMID 38395946›Full record

ArticleMicrobiome2024

Multi-omics reveal mechanisms of high enteral starch diet mediated colonic dysbiosis via microbiome-host interactions in young ruminant.

Chunjia Jin, Shengru Wu, Ziqi Liang, Jun Zhang, Xinjian Lei, Hanxun Bai, Gaofeng Liang, Xiaodong Su, Xiaodong Chen, Peiyue Wang and 3 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
21.0field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 37 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

13 authors at 2 institutions in 2 countries.

Chunjia Jin *College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Shengru Wu *College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China. wushengru2013@163.com.
Ziqi LiangCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Jun ZhangCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Xinjian LeiCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Hanxun BaiCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Gaofeng LiangCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Xiaodong SuCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Xiaodong ChenCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Peiyue WangCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Yue WangCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Leluo GuanDepartment of Agricultural, Food and Nutritional Science, University of Alberta, 116 St. and 85 Ave., Edmonton, AB, T6G 2P5, Canada. leluo.guan@ualberta.ca.
Junhu YaoCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China. yaojunhu2004@sohu.com.
Northwest A&F University · CNUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough rumen development is crucial, hindgut undertakes a significant role in young ruminants' physiological development. High-starch diet is usually used to accelerate rumen development for young ruminants, but always leading to the enteral starch overload and hindgut dysbiosis. However, the mechanism behind remains unclear. The combination of colonic transcriptome, colonic luminal metabolome, and metagenome together with histological analysis was conducted using a goat model, with the aim to identify the potential molecular mechanisms behind the disrupted hindgut homeostasis by overload starch in young ruminants.

resultCompared with low enteral starch diet (LES), high enteral starch diet (HES)-fed goats had significantly higher colonic pathology scores, and serum diamine oxidase activity, and meanwhile significantly decreased colonic mucosal Mucin-2 (MUC2) protein expression and fecal scores, evidencing the HES-triggered colonic systemic inflammation. The bacterial taxa Prevotella sp. P4-67, Prevotella sp. PINT, and Bacteroides sp. CAG:927, together with fungal taxa Fusarium vanettenii, Neocallimastix californiae, Fusarium sp. AF-8, Hypoxylon sp. EC38, and Fusarium pseudograminearum, and the involved microbial immune pathways including the "T cell receptor signaling pathway" were higher in the colon of HES goats. The integrated metagenome and host transcriptome analysis revealed that these taxa were associated with enhanced pathogenic ability, antigen processing and presentation, and stimulated T helper 2 cell (T

conclusionsOur findings revealed that enteral starch overload can trigger interrupted hindgut host-microbiome homeostasis that led to impaired mucosal, destroyed colonic water absorption, and T

Indexed as

MicrobiotaMultiomicsAnimalsCytokinesDietDysbiosisGoatsRuminantsStarchCytokinesStarchColonic homeostasisColonic microbiomeEnteral starchMetabolismTH2 cytokine patternTranscriptome

Identifiers

PMID38395946
PMCPMC10893732
OpenAlexW4392132371

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.