Evidence mapPaperPMID 41736790Full record

ArticleFrontiers in cellular and infection microbiology2026

Characterization of gut microbiota in patients with diabetic kidney disease.

Shoujuan Yu, Huimin Niu, Yan Zhang, Ling Yu, Qi Zhang, Xingchen Liu, Yue Sang, Ran Wang, Min Zhang

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shoujuan Yu *Department of Nephrology, Affiliated Beijing Chaoyang Hospital of Capital Medical University, Beijing, China.
Huimin Niu *Department of Nephrology, Affiliated Beijing Chaoyang Hospital of Capital Medical University, Beijing, China.
Yan ZhangSports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing, China.
Ling YuDepartment of Nephrology, Affiliated Beijing Chaoyang Hospital of Capital Medical University, Beijing, China.
Qi ZhangKey Laboratory of Functional Dairy, Co-Constructed by Ministry of Education and Beijing Government, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Xingchen LiuShunyi District Zhangxizhuang Community Healthcare Center, Beijing, China.
Yue SangKey Laboratory of Functional Dairy, Co-Constructed by Ministry of Education and Beijing Government, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Ran WangKey Laboratory of Functional Dairy, Co-Constructed by Ministry of Education and Beijing Government, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Min ZhangDepartment of Nephrology, Affiliated Beijing Chaoyang Hospital of Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diabetic kidney disease (DKD) is a major complication of diabetes mellitus (DM). Although dysbiosis of the gut microbiota in DKD has been reported, the specific microbial species associated with disease progression from DM to DKD remain insufficiently defined. Methods: We conducted shotgun metagenomic sequencing on fecal samples from 55 healthy participants, 47 patients with DM, and 38 patients with DKD. Gut microbiota diversity, composition, and functional pathways were compared across groups; correlations with glycemic and renal indices were evaluated. Results: Overall alpha-diversity showed no significantly difference between DKD and healthy controls; however, the simpson's index was higher in DKD than in DM (p < 0.05). There was a difference in beta-diversity between DKD and the healthy control (p = 0.002), but no significant difference was observed between the DKD and DM group. Bacteria significantly enriched in DM/DKD include Conclusion: This study elucidates the distinct characteristics of the gut microbiota in DKD patients and highlights potential microbial markers involved in the progression from DM to DKD.

Indexed as

BacteriaDiabetic NephropathiesGastrointestinal MicrobiomeAdultAgedDisease ProgressionDysbiosisFecesFemaleHumansMaleMetagenomicsMiddle Agedcorrelation analysisDKDDMgut microbiotamicrobiota function

Identifiers

PMID41736790
PMCPMC12926362

What Socratic holds

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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 Socratic graph.