Evidence map›Paper›PMID 39000356›Full record

ArticleInternational journal of molecular sciences2024

Region-Specific Effects of Metformin on Gut Microbiome and Metabolome in High-Fat Diet-Induced Type 2 Diabetes Mouse Model.

Meihui Cheng, Xianxian Jia, Lili Ren, Siqian Chen, Wei Wang, Jianwei Wang, Bin Cong

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

7 authors.

Meihui ChengResearch Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Shijiazhuang 050017, China.
Xianxian JiaResearch Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Shijiazhuang 050017, China.
Lili RenResearch Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Shijiazhuang 050017, China.ORCID 0000-0002-6645-8183
Siqian ChenResearch Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Shijiazhuang 050017, China.
Wei WangResearch Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Shijiazhuang 050017, China.
Jianwei WangResearch Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Shijiazhuang 050017, China.
Bin CongResearch Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Shijiazhuang 050017, China.

Funding

the CAMS Innovation Fund for Medical Sciences 2019-I2M-5-055the National Natural Science Foundation of China 82304360
6 · The paper itself

Abstract

The glucose-lowering drug metformin alters the composition of the gut microbiome in patients with type 2 diabetes mellitus (T2DM) and other diseases. Nevertheless, most studies on the effects of this drug have relied on fecal samples, which provide limited insights into its local effects on different regions of the gut. Using a high-fat diet (HFD)-induced mouse model of T2DM, we characterize the spatial variability of the gut microbiome and associated metabolome in response to metformin treatment. Four parts of the gut as well as the feces were analyzed using full-length sequencing of 16S rRNA genes and targeted metabolomic analyses, thus providing insights into the composition of the microbiome and associated metabolome. We found significant differences in the gut microbiome and metabolome in each gut region, with the most pronounced effects on the microbiomes of the cecum, colon, and feces, with a significant increase in a variety of species belonging to

Indexed as

Diabetes Mellitus, Type 2Diet, High-FatDisease Models, AnimalGastrointestinal MicrobiomeMetabolomeMetforminAnimalsCecumColonFecesHypoglycemic AgentsMaleMetabolomicsMiceMice, Inbred C57BLRNA, Ribosomal, 16SHypoglycemic AgentsMetforminRNA, Ribosomal, 16Sgut metabolomegut microbiomegut regionsmetforminmicrobiome-derived metabolitestype 2 diabetes mellitus (T2DM)

Identifiers

PMID39000356
PMCPMC11241422

What OpenQuestion holds

Texttitle and abstract
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.