Evidence map›Paper›PMID 40241220›Full record

ReviewCell & bioscience2025

Distribution of gut microbiota across intestinal segments and their impact on human physiological and pathological processes.

Ke Yang, Guangqin Li, Qihong Li, Wei Wang, Xu Zhao, Nan Shao, Hui Qiu, Jing Liu, Lin Xu, Juanjuan Zhao

Abstract readReview
In one paragraph

Review in Cell & bioscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Humanizing Zophobas morio larvae microbiota for rapid screening of emerging decolonization strategies against multidrug-resistant bacteria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Effects of High-Fat Diet on Intestinal Microbiota in Largemouth Bass (Animals : an open access journal from MDPI · 2026
    Article
  10. Intestinal muscularis in health and disease.Communications biology · 2026
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

10 authors.

Ke Yang *The First Clinical Institute, Zunyi Medical University, Zunyi, 563000, China.
Guangqin Li *Key Laboratory for Cancer Prevention and treatment of Guizhou Province, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
Qihong LiKey Laboratory for Cancer Prevention and treatment of Guizhou Province, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
Wei WangKey Laboratory for Cancer Prevention and treatment of Guizhou Province, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
Xu ZhaoKey Laboratory for Cancer Prevention and treatment of Guizhou Province, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
Nan ShaoKey Laboratory for Cancer Prevention and treatment of Guizhou Province, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
Hui QiuKey Laboratory for Cancer Prevention and treatment of Guizhou Province, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
Jing LiuKey Laboratory for Cancer Prevention and treatment of Guizhou Province, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
Lin XuKey Laboratory for Cancer Prevention and treatment of Guizhou Province, Zunyi Medical University, Zunyi, 563000, Guizhou, China. xulinzhouya@163.com.
Juanjuan ZhaoKey Laboratory for Cancer Prevention and treatment of Guizhou Province, Zunyi Medical University, Zunyi, 563000, Guizhou, China. jj.z.2008@163.com.ORCID http://orcid.org/0000-0001-9253-8083

Funding

National Natural Science Foundation of China 82272812National Natural Science Foundation of China 82360018
6 · The paper itself

Abstract

In recent years, advancements in metagenomics, metabolomics, and single-cell sequencing have enhanced our understanding of the intricate relationships between gut microbiota and their hosts. Gut microbiota colonize humans from birth, with their initial composition significantly influenced by the mode of delivery and feeding method. During the transition from infancy to early childhood, exposure to a diverse diet and the maturation of the immune system lead to the gradual stabilization of gut microbiota's composition and distribution. Numerous studies have demonstrated that gut microbiota can influence a wide range of physiological functions and pathological processes by interacting with various tissues and organs through the gut-organ axis. Different intestinal segments exhibit unique physical and chemical conditions, which leads to the formation of vertical gradients along the intestinal tract: aerobes and facultative aerobes mainly live in the small intestine and anaerobic bacteria mainly live in the large intestine, and horizontal gradients: mucosa-associated microbiota and lumen-associated microbiota. In this review, we systematically summarize the distribution characteristics of gut microbiota across six intestinal segments: duodenum, jejunum, ileum, cecum, colon, and rectum. We also draw a conclusion that gut microbiota distributed in different intestinal segments affect the progression of different diseases. We hope to elucidate the role of microbiota at specific anatomic sites within the gut in precisely regulating the processes of particular diseases, thereby providing a solid foundation for developing novel diagnostic and therapeutic strategies for related diseases.

Indexed as

Distribution characteristicsGut microbiotaIntestinal segmentsPathological processesPhysiological functions

Identifiers

PMID40241220
PMCPMC12001467

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Registered trials

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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.