Evidence map›Paper›PMID 39434180›Full record

ArticleMicrobiome2024

Host-microbe interaction-mediated resistance to DSS-induced inflammatory enteritis in sheep.

Shuo Yan, Ruilin Du, Wenna Yao, Huimin Zhang, Yue Xue, Teligun, Yongfa Li, Hanggai Bao, Yulong Zhao, Shuo Cao and 4 more

Abstract read
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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. mSystems · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Frontiers in microbiology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Oral Sheep Milk-Derived Exosome Therapeutics forInternational journal of molecular sciences · 2025
    Article
  11. Article
  12. Gut Metagenome Reveals the Microbiome Signatures in Tibetan and Black Pigs.Animals : an open access journal from MDPI · 2025
    Article
  13. Nutrients · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

14 authors.

Shuo Yan *Research Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Ruilin Du *Research Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Wenna YaoResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Huimin ZhangResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Yue XueResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
TeligunResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Yongfa LiResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Hanggai BaoResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Yulong ZhaoResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Shuo CaoResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Guifang CaoResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China.
Xihe LiResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China. lixh@imu.edu.cn.
Siqin BaoResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China. baosq@imu.edu.cn.
Yongli SongResearch Center for Animal Genetic Resources of Mongolia Plateau, College of Life Sciences, Inner Mongolia University, Xilinguole Rd. 49, Yuquan District, Hohhot, 010020, China. ylsong@imu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe disease resistance phenotype is closely related to immunomodulatory function and immune tolerance and has far-reaching implications in animal husbandry and human health. Microbes play an important role in the initiation, prevention, and treatment of diseases, but the mechanisms of host-microbiota interactions in disease-resistant phenotypes are poorly understood. In this study, we hope to uncover and explain the role of microbes in intestinal diseases and their mechanisms of action to identify new potential treatments.

methodsFirst, we established the colitis model of DSS in two breeds of sheep and then collected the samples for multi-omics testing including metagenes, metabolome, and transcriptome. Next, we made the fecal bacteria liquid from the four groups of sheep feces collected from H-CON, H-DSS, E-CON, and E-DSS to transplant the fecal bacteria into mice. H-CON feces were transplanted into mice named HH group and H-DSS feces were transplanted into mice named HD group and Roseburia bacteria treatment named HDR groups. E-CON feces were transplanted into mice named EH group and E-DSS feces were transplanted into mice in the ED group and Roseburia bacteria treatment named EDR groups. After successful modeling, samples were taken for multi-omics testing. Finally, colitis mice in HD group and ED group were administrated with Roseburia bacteria, and the treatment effect was evaluated by H&E, PAS, immunohistochemistry, and other experimental methods.

resultsThe difference in disease resistance of sheep to DSS-induced colitis disease is mainly due to the increase in the abundance of Roseburia bacteria and the increase of bile acid secretion in the intestinal tract of Hu sheep in addition to the accumulation of potentially harmful bacteria in the intestine when the disease occurs, which makes the disease resistance of Hu sheep stronger under the same disease conditions. However, the enrichment of harmful microorganisms in East Friesian sheep activated the TNFα signalling pathway, which aggravated the intestinal injury, and then the treatment of FMT mice by culturing Roseburia bacteria found that Roseburia bacteria had a good curative effect on colitis.

conclusionOur study showed that in H-DSS-treated sheep, the intestinal barrier is stabilized with an increase in the abundance of beneficial microorganisms. Our data also suggest that Roseburia bacteria have a protective effect on the intestinal barrier of Hu sheep. Accumulating evidence suggests that host-microbiota interactions are associated with IBD disease progression. Video Abstract.

Indexed as

ColitisDextran SulfateDisease Models, AnimalFecesGastrointestinal MicrobiomeAnimalsBacteriaDisease ResistanceEnteritisFecal Microbiota TransplantationHost Microbial InteractionsMiceSheepSheep DiseasesDextran SulfateFecal microbiota transplantation (FMT)Gut microbiotaIntestinal inflammationRoseburia bacteria

Identifiers

PMID39434180
PMCPMC11492479

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.