Evidence map›Paper›PMID 37197060›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Comprehensive Study of Untargeted Metabolomics and 16S rRNA Reveals the Mechanism of Fecal Microbiota Transplantation in Improving a Mouse Model of T2D.

Wensu Yang, Zhaoxin Xia, Yi Zhu, Hao Tang, Huaming Xu, Xinyi Hu, Chunhui Lin, Tong Jiang, Pei He, Jilu Shen

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Advances in fecal microbiota transplantation for the treatment of diabetes mellitus.Frontiers in cellular and infection microbiology · 2024
    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

10 authors at 1 institution in 1 country.

Wensu YangThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.
Zhaoxin XiaThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.
Yi ZhuThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.ORCID 0000-0001-6985-095X
Hao TangThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.
Huaming XuThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.
Xinyi HuThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.
Chunhui LinThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.
Tong JiangThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.
Pei HeThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.ORCID 0000-0001-6072-2249
Jilu ShenThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 23001, People's Republic of China.ORCID 0000-0003-0654-1556
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fecal microbiota transplantation (FMT) has emerged as a new therapy targeting gastrointestinal microbiota for the treatment of a growing number of diseases in recent years. Previous studies have suggested that FMT may be a potential therapy for type 2 diabetes (T2D), but the underlying mechanism remains unclear. Therefore, in the present study, we aimed to investigate the role of FMT in T2D and its underlying mechanisms. Methods: To induce T2D, mice were fed a high-fat diet and injected with low-dose streptozotocin (STZ) for four weeks. The mice were then randomly divided into four groups: control group (n = 7), T2D group (n = 7), metformin (MET)-treated group (n = 7), and FMT group (n = 7). The MET group was orally administered 0.2 g/kg MET, the FMT group was orally administered 0.3 mL of bacterial solution, and the other two groups were orally administered the same volume of saline for four weeks. Serum and fecal samples were collected for non-targeted metabolomics, biochemical indicators, and 16S rRNA sequencing, respectively. Results: Our results demonstrated that FMT had a curative effect on T2D by ameliorating hyperlipidemia and hyperglycemia. Using 16S rRNA sequencing and serum untargeted metabolomic analysis, we found that FMT could restore the disorders of gastrointestinal microbiota in T2D mice. Moreover, corticosterone, progesterone, L-urobilin, and other molecules were identified as biomarkers after FMT treatment. Our bioinformatics analysis suggested that steroid hormone biosynthesis, arginine, proline metabolism, and unsaturated fatty acid biosynthesis could be potential regulatory mechanisms of FMT. Conclusion: In summary, our study provides comprehensive evidence for the role of FMT in the treatment of T2D. FMT has the potential to become a promising strategy for the treatment of metabolic disorders, T2D, and diabetes-related complications.

Indexed as

16S rRNAcorticosteronefecal microbiota transplantationgastrointestinal microbiotatype 2 diabetesuntargeted metabolomics

Identifiers

PMID37197060
PMCPMC10184852
OpenAlexW4377010761

What OpenQuestion holds

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LicenceCC BY-NC
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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.