Evidence map›Paper›PMID 39873521›Full record

ArticlemSystems2025

Interactions between gut microbes and host promote degradation of various fiber components in Meishan pigs.

Guang Pu, Liming Hou, Qingbo Zhao, Gensheng Liu, Zhongyu Wang, Wuduo Zhou, Peipei Niu, Chengwu Wu, Pinghua Li, Ruihua Huang

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Effects of Chlorogenic Acid-RichAntioxidants (Basel, Switzerland) · 2026
    Article
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  4. Article
  5. Review
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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

10 authors.

Guang PuKey Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing), Ministry of Agriculture and Rural Affairs, Institute of Swine Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Liming HouKey Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing), Ministry of Agriculture and Rural Affairs, Institute of Swine Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Qingbo ZhaoKey Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing), Ministry of Agriculture and Rural Affairs, Institute of Swine Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Gensheng LiuKey Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing), Ministry of Agriculture and Rural Affairs, Institute of Swine Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Zhongyu WangKey Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing), Ministry of Agriculture and Rural Affairs, Institute of Swine Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Wuduo ZhouKey Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing), Ministry of Agriculture and Rural Affairs, Institute of Swine Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Peipei NiuLaboratory of Intestinal Microbiology, Huaian Academy, Nanjing Agricultural University, Nanjing, China.
Chengwu WuLaboratory of Intestinal Microbiology, Huaian Academy, Nanjing Agricultural University, Nanjing, China.
Pinghua LiKey Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing), Ministry of Agriculture and Rural Affairs, Institute of Swine Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.ORCID 0000-0003-2148-2435
Ruihua HuangKey Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing), Ministry of Agriculture and Rural Affairs, Institute of Swine Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.ORCID 0000-0002-4722-2271

Funding

MOST | National Natural Science Foundation of China (NSFC) 32172710
6 · The paper itself

Abstract

Although metagenomic investigations into microbial fiber-degrading capabilities are currently prevalent, there is a notable gap in research concerning the regulatory mechanisms underpinning host-microbiota interactions that confer tolerance to high-fiber diets in pigs. In this study, 28 Meishan (MS) and 28 Large White (LW) pigs were subjected to feeding experiments involving various fiber levels. Subsequently, multi-omics was employed to investigate the influence of host-microbiota interactions on the fiber degradation of pigs. MS exhibited superior fiber digestibility compared with LW, particularly evident when fed a high-fiber diet. In MS, positive interactions among IMPORTANCE: Studies on porcine intestinal microbiota have been widely conducted, and some microbial taxa with fiber degradation functions have been identified. However, the mechanisms of division among gut microbes in the degradation of complex fiber components are still unclear. In addition, the regulation of fiber digestion by host through absorption of short-chain fatty acids (SCFAs) needs to be further investigated. Our study used apparent total tract digestibility of dietary fiber to assess the utilization efficiency of dietary fiber between Meishan and Large White pigs. Subsequently, through metagenome sequencing and determination of fiber-degrading products, we found that in Meishan pigs, positive interactions among

Indexed as

Dietary FiberGastrointestinal MicrobiomeHost Microbial InteractionsAnimal FeedAnimalsBacteriaCelluloseFatty Acids, VolatilePectinsSwineCelluloseDietary FiberFatty Acids, VolatilePectinsdietary fiberfiber-degrading microbes and SCFA transport-related candidate geneMeishan pigs

Identifiers

PMID39873521
PMCPMC11834408

What OpenQuestion holds

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LicenceCC BY
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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.