Evidence map›Paper›PMID 36601003›Full record

ArticleFrontiers in endocrinology2022

The harmful intestinal microbial community accumulates during DKD exacerbation and microbiome-metabolome combined validation in a mouse model.

Jin Shang, Wen Cui, Ruixue Guo, Yiding Zhang, Peipei Wang, Wei Yu, Xuejun Zheng, Ting Wang, Yijun Dong, Jing Zhao and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
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  5. Review
  6. CD4Frontiers in cellular and infection microbiology · 2026
    Article
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  16. Molecular Therapeutics for Diabetic Kidney Disease: An Update.International journal of molecular sciences · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Gut microbiota microbial metabolites in diabetic nephropathy patients: far to go.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

14 authors at 2 institutions in 1 country.

Jin ShangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wen CuiDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ruixue GuoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yiding ZhangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Peipei WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wei YuDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xuejun ZhengDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ting WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yijun DongDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jing ZhaoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Suying DingZhengzhou University, Zhengzhou, China.
Jing XiaoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhigang RenZhengzhou University, Zhengzhou, China.
Zhanzheng ZhaoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Diabetic kidney disease (DKD) is one of the most prevalent complications of diabetes mellitus (DM) and is associated with gut microbial dysbiosis. We aim to build a diagnostic model to aid clinical practice and uncover a crucial harmful microbial community that contributes to DKD pathogenesis and exacerbation. Design: A total of 528 fecal samples from 180 DKD patients and 348 non-DKD populations (138 DM and 210 healthy volunteers) from the First Affiliated Hospital of Zhengzhou University were recruited and randomly divided into a discovery phase and a validation phase. The gut microbial composition was compared using 16S rRNA sequencing. Then, the 180 DKD patients were stratified into four groups based on clinical stages and underwent gut microbiota analysis. We established DKD mouse models and a healthy fecal microbiota transplantation (FMT) model to validate the effects of gut microbiota on DKD and select the potential harmful microbial community. Untargeted metabolome-microbiome combined analysis of mouse models helps decipher the pathogenetic mechanism from a metabolic perspective. Results: The diversity of the gut microbiome was significantly decreased in DKD patients when compared with that of the non-DKD population and was increased in the patients with more advanced DKD stages. The DKD severity in mice was relieved after healthy gut microbiota reconstruction. The common harmful microbial community was accumulated in the subjects with more severe DKD phenotypes (i.e., DKD and DKD5 patients and DKD mice). The harmful microbial community was positively associated with the serum injurious metabolites (e.g., cholic acid and hippuric acid). Conclusion: The fecal microbial community was altered markedly in DKD. Combining the fecal analysis of both human and animal models selected the accumulated harmful pathogens. Partially recovering healthy gut microbiota can relieve DKD phenotypes

Indexed as

MetabolomeMicrobiotaAnimalsDisease Models, AnimalFecesHumansMiceRNA, Ribosomal, 16SRNA, Ribosomal, 16Sdiabetic nephropathygut microbiotamolecular mechanismpathogenetic analysisuntargeted (global) metabolomics

Identifiers

PMID36601003
PMCPMC9806430
OpenAlexW4313396447

What OpenQuestion holds

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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.