Evidence map›Paper›PMID 40654567›Full record

ArticleFrontiers in cellular and infection microbiology2025

The alternations of gut microbiota in diabetic kidney disease: insights from a triple comparative cohort.

Mengqi Wu, Xin Zhou, Saiping Chen, Yuqing Wang, Bin Lu, Aiping Zhang, Yanqin Zhu, Min Huang, Jiarui Wang, Junyi Liu and 3 more

Abstract readComparative Study
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Characterization of gut microbiota in patients with diabetic kidney disease.Frontiers in cellular and infection microbiology · 2026
    Article
  7. Review
  8. 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

13 authors.

Mengqi Wu *Department of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xin Zhou *Department of General Medicine, Tianshui Wulin Street Community Heal Care Centre, Hangzhou, Zhejiang, China.
Saiping Chen *Department of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yuqing Wang *Department of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Bin Lu *Department of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Aiping ZhangDepartment of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yanqin ZhuDepartment of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Min HuangDepartment of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jiarui WangDepartment of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Junyi LiuDepartment of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Fenggui ZhuDepartment of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Hong LiuDepartment of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Riyang LinDepartment of Nephrology, Hangzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic kidney disease (DKD) exhibits heterogeneous progression, implicating factors beyond hyperglycemia, such as gut microbiota dysbiosis. However, microbial distinctions among biopsy-confirmed pure DKD, DKD with non-diabetic renal disease (DKD+NDRD), and long-term diabetes without nephropathy (DM) remain unclear. This study aimed to identify gut microbial and functional biomarkers differentiating these groups. Methods: We enrolled 40 biopsy-confirmed participants classified into DKD (n=26), DM (n=8), and DKD+NDRD (n=6) groups. Gut microbiota was profiled using 16S rRNA sequencing. Microbial diversity, composition, and functional prediction (PICRUSt2 analysis) were compared among groups. Biomarkers were identified using LEfSe analysis. Results: No significant differences in alpha-diversity (Chao1, Shannon indices) or beta-diversity (PCoA/PCA) were observed among groups. Taxonomic analysis revealed distinct microbial signatures: DKD patients showed enrichment of Olsenella and reduced Faecalibacterium prausnitzii (a short-chain fatty acid producer), while DM patients exhibited higher Roseburia and Flavonifractor. The DKD+NDRD group was uniquely enriched in Prevotella_9. Functional prediction highlighted elevated pyruvate metabolism and bacterial toxin pathways in DKD, contrasting with enhanced linoleic acid metabolism in DM and attenuated endotoxin-related pathways in DKD+NDRD. Conclusions: This study delineates gut microbiota profiles and functional shifts across DKD, DM, and DKD+NDRD. Key taxa (Olsenella, Prevotella_9) and metabolic pathways (pyruvate, toxin production) may serve as biomarkers for DKD progression and differential diagnosis. The findings underscore the gut-kidney axis's role in DKD pathogenesis and suggest microbiota-targeted interventions for precision management. Further validation in larger cohorts is warranted.

Indexed as

BacteriaDiabetic NephropathiesGastrointestinal MicrobiomeAdultAgedBiomarkersCohort StudiesDNA, BacterialDysbiosisFecesFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SBiomarkersDNA, BacterialRNA, Ribosomal, 16S16S rRNAdiabetic kidney disease (DKD)disease progressiongut microbiotaintestinal biomarker

Identifiers

PMID40654567
PMCPMC12245769

What Socratic holds

Textmetadata
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 Socratic graph.