Evidence map›Paper›PMID 39961020›Full record

ArticleThe ISME journal2025

Murine gut microbial interactions exert antihyperglycemic effects.

Liying Guo, Libing Xu, Yanhong Nie, Lu Liu, Zongping Liu, Yunpeng Yang

Abstract read
In one paragraph

Article in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. International journal of molecular sciences · 2025
    Article
  4. 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

6 authors.

Liying GuoJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Libing XuJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Yanhong NieShanghai Center for Brain Science and Brain-Inspired Technology,  Shanghai 201602, China.
Lu LiuShanghai Center for Brain Science and Brain-Inspired Technology,  Shanghai 201602, China.
Zongping LiuJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Yunpeng YangJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.

Funding

Biological Resources Program of the Chinese Academy of Sciences KFJ-BRP-005National Science and Technology Innovation 2030 Major Program 2021ZD0200900
6 · The paper itself

Abstract

The correlations between gut microbiota and host metabolism have been studied extensively, whereas little relevant work has been done to investigate the impact of gut microbial interactions on host metabolism. With the use of a bacteriocin-targeting strategy, we aimed to identify the gut microbes associated with glucose and lipid metabolism by adjusting the gut microbial composition of mice fed a high-fat diet. To fulfill this goal, a Listeria monocytogenes (Lmo)-derived bacteriocin Lmo2776 secretion module was constructed and integrated into the genome of Escherichia coli Nissle 1917 (EcN), yielding the Lmo2776-secreting strain EcN-2776. In high-fat diet-fed mice, EcN-2776 administration decreased blood glucose and increased serum triglyceride, and gene amplicon sequencing of 16S rRNA in these mice indicated that intestinal secretion of Lmo2776 led to adjustment of the gut microbial composition. Specifically, Lmo2776 restricted the growth of Ligilactobacillus murinus, thus alleviating its inhibitory impact towards Faecalibaculum rodentium. Further analyses indicated that F. rodentium administration decreased the fasting blood glucose of high-fat diet-fed mice, an effect that may be attributable to the intestinal consumption of glucose by F. rodentium. In this study, we identified the gut microbes associated with glucose metabolism, uncovered their interactions, and deciphered the impact of these gut microbial interactions on the host glucose metabolism. Our findings may pave the way for the treatment of hyperglycemia from the perspective of gut microbial interactions.

Indexed as

BacteriocinsGastrointestinal MicrobiomeHypoglycemic AgentsAnimalsBlood GlucoseDiet, High-FatEscherichia coliGlucoseLipid MetabolismListeria monocytogenesMaleMiceMice, Inbred C57BLRNA, Ribosomal, 16STriglyceridesBacteriocinsBlood GlucoseGlucoseHypoglycemic AgentsRNA, Ribosomal, 16STriglyceridesbacteriocinEscherichia coli Nissle 1917glucose metabolismgut microbial interactionshyperglycemia

Identifiers

PMID39961020
PMCPMC11896791

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.