Evidence map›Paper›PMID 39076512›Full record

ArticleFrontiers in endocrinology2024

Gut microbiota profiling reflects the renal dysfunction and psychological distress in patients with diabetic kidney disease.

Qi Li, Suyi Xie, Yali Liu, Wei Yue, Limin Wang, Yi Liang, Yan Chen, Huijuan Yuan, Jiawei Yu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Trial
  4. Article
  5. Characterization of gut microbiota in patients with diabetic kidney disease.Frontiers in cellular and infection microbiology · 2026
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  6. Review
  7. Article
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  9. Observational
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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.

Qi Li *Heart Center of Henan Provincial People's Hospital, Department of Cardiology of Central China Fuwai Hospital, Henan Key Laboratory for Coronary Heart Disease Prevention and Control, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, China.
Suyi Xie *Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Yali LiuDepartment of Nephrology, The 988th Hospital of Joint Logistics Support Forces, People's Liberation Army, Zhengzhou, Henan, China.
Wei YueDepartment of Nephrology, The 988th Hospital of Joint Logistics Support Forces, People's Liberation Army, Zhengzhou, Henan, China.
Limin WangDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital of Henan University, Zhengzhou, China.
Yi LiangDepartment of Nephrology, The 988th Hospital of Joint Logistics Support Forces, People's Liberation Army, Zhengzhou, Henan, China.
Yan ChenDepartment of Nephrology, The 988th Hospital of Joint Logistics Support Forces, People's Liberation Army, Zhengzhou, Henan, China.
Huijuan YuanDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital of Henan University, Zhengzhou, China.
Jiawei YuDepartment of Nephrology, The 988th Hospital of Joint Logistics Support Forces, People's Liberation Army, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The gut microbiota plays a pivotal role in the development of diabetes and kidney disease. However, it is not clear how the intestinal microecological imbalance is involved in the context of diabetic kidney disease (DKD), the leading cause of renal failure. Objectives: To elucidate the gut microbial signatures associated with DKD progression towards end-stage renal disease (ESRD) and explore whether they could reflect renal dysfunction and psychological distress. Methods: A cross-sectional study was conducted to explore the gut microbial signatures of 29 DKD non-ESRD patients and 19 DKD ESRD patients compared to 20 healthy controls. Differential analysis was performed to detect distinct gut microbial alterations in diversities and taxon abundance of DKD with and without ESRD. Renal dysfunction was estimated by urea, creatinine, and estimated glomerular filtration rate. Psychological distress was assessed using the Self-Rating Anxiety Scale, Self-Rating Depression Scale, Hamilton Anxiety Rating Scale, and Hamilton Depression Rating Scale. Results: Alpha diversity indexes were reduced in DKD patients, particularly those with ESRD. Beta diversity analysis revealed that the gut microbial compositions of DKD patients were different with healthy individuals whereas similar compositions were observed in DKD patients. Taxon differential analysis showed that when compared with the controls, DKD patients exhibit distinct microbial profiles including reduced abundances of butyrate-produced, anti-inflammatory bacteria Conclusions: DKD patients, especially those who have progressed to ESRD, exhibit unique characteristics in their gut microbiota that are associated with both renal dysfunction and psychological distress. The gut microbiota may be a significant factor in the deterioration of DKD and its eventual progression to ESRD.

Indexed as

Diabetic NephropathiesGastrointestinal MicrobiomePsychological DistressAdultAgedCase-Control StudiesCross-Sectional StudiesFemaleHumansKidney Failure, ChronicMaleMiddle Ageddiabetic kidney diseaseend-stage renal diseasegut microbiotapsychological distressrenal dysfunction

Identifiers

PMID39076512
PMCPMC11284015

What Socratic holds

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LicenceCC BY
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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 Socratic graph.