Evidence map›Paper›PMID 39397795›Full record

ArticleFrontiers in microbiology2024

The characteristics of intestinal microbiota in patients with type 2 diabetes and the correlation with the percentage of T-helper cells.

Fan Yang, Jinyan Li, Longqin Wei, Shenghua Qin, Qingfeng Shi, Siyan Lu, Shuyuan Chu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Frontiers in veterinary science · 2025
    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

7 authors.

Fan Yang *Department of Endocrinology, Guilin People's Hospital, Guilin, China.
Jinyan Li *Department of Endocrinology, Guilin People's Hospital, Guilin, China.
Longqin WeiResearch Service Department, Guilin People's Hospital, Guilin, China.
Shenghua QinHealth Management Center, Guilin People's Hospital, Guilin, China.
Qingfeng ShiLaboratory Department, Guilin People's Hospital, Guilin, China.
Siyan LuRheumatology and Immunology Department, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Shuyuan ChuLaboratory of Respiratory Disease, Affiliated Hospital of Guilin Medical University, Guilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 diabetes (T2D) is related to intestinal microflora changes and immune inflammation. We aimed to investigate the pattern of intestinal flora-systematic T helper (Th) cell linkage in T2D patients. Methods: Participants with T2D diagnosed by physicians and healthy controls were enrolled in the study. The Th1, Th2, and Th17 cells from the peripheral blood were assessed by flow cytometry. The feces were collected. The V3-V4 variable region of 16S rRNA was sequenced and analyzed using bioinformatics. Principal coordinate analysis (PCoA) and non-metric multidimensional scaling (NMDS) analysis were performed to assess the beta diversity. The linear discriminant analysis (LDA) effect size (LEfSe) method was applied to identify amicrobial taxon specific to T2D. The Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was conducted to identify the metabolic pathways. A network analysis was conducted by constructing a co-occurrence network. Results: The percentages of the Th1 and Th17 cells in the peripheral blood were higher in patients with T2D than in controls. Among the top 30 genera of the intestinal microbiota, the levels of Conclusion: This study provided a preliminary picture of the crosstalk between the intestinal microbiome and systematic Th cells in patients with T2D. The findings of the study suggested that the network relationship among the intestinal microbiota, metabolites, and CD4+T lymphocyte immunity was unbalanced in the patients with T2D, which might have promoted the development of T2D. This presents a therapeutic opportunity to modulate gut immune reaction and then chronic inflammation by manipulating microbiome-specific Th-cell response.

Indexed as

immune responseinteractionintestinal microbiotaT-helper celltype 2 diabetes (T2D)

Identifiers

PMID39397795
PMCPMC11466775

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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.