Evidence map›Paper›PMID 39953202›Full record

ArticleScientific reports2025

Investigating the role of gut microbiota in diabetic nephropathy through plasma proteome mediated analysis.

Shaojie Fu, Fan Li, Jinyu Yu, Shengjie Ma, Li Zhang, Yanli Cheng

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Mechanisms and clinical implications of gut-brain interactions.The Journal of clinical investigation · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. 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

6 authors.

Shaojie Fu *Department of Nephrology, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, Jilin, China.
Fan Li *Department of Gastroenterology, The First Hospital of Jilin University, Changchun, 130021, Jilin, China.
Jinyu YuDepartment of Nephrology, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, Jilin, China.
Shengjie MaDepartment of Gastric and Colorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130021, Jilin, China.
Li ZhangDepartment of Nephrology, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, Jilin, China.
Yanli ChengDepartment of Nephrology, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, Jilin, China. chengyanli@jlu.edu.cn.

Funding

Bethune Program of Jilin University 2023B05China Postdoctoral Science Foundation 2022M711298, 2024T170327Education Department of Jilin Province JJKH20241332KJNational Natural Science Foundation of China 81700635Natural Science Foundation of Jilin Province YDZJ202301ZYTS077, 20200201377JCThe First Hospital of Jilin University Talent Reserve Program JDYY-TRP-2024010
6 · The paper itself

Abstract

Diabetic nephropathy (DN) is the leading cause of end-stage renal disease and poses significant threats to individuals with diabetes. The concept of gut-kidney axis has gained increasing attention in recent years and the in the occurrence and development of DN, alterations in the gut microbiota also plays a crucial and indispensable role. However, the specific causal relationships between various gut microbial communities and DN, as well as the underlying molecular mechanisms, remains unclear. This study utilized data from genome-wide association studies. After screening for qualified instrumental variables, mendelian randomization causal analyses were performed by inverse variance weighting, MR-Egger, weighted median, weighted mode and MR-RAPS methods. Additionally, sensitivity analyses such as heterogeneity, multiplicity, and the direction of the causal effect were carried out to ensure that the results were robust. After identifying significant gut microbiota, protein-proteomics mediation analysis was conducted on potential 3282 plasma proteins to determine those with mediating effects. Finally, Reactome enrichment analysis was performed to ascertain metabolic or signaling pathways with mediating effects. Mendelian randomization analysis indicated associations between 21 gut microbiota and DN. After adjusting significance levels, Catenibacterium and Parasutterella were found to have causal effects on the onset of DN. Subsequently, we identified 22 plasma proteins with mediating effects, along with 27 metabolic or signaling pathways including activated propionic acid metabolism. Increased in the abundance of Catenibacterium and Parasutterella intestinal bacteria are causative factors for DN. More importantly, the underlying mechanism by which the increased abundance of Catenibacterium and Parasutterella intestinal bacteria lead to DN were revealed, providing a blueprint for the involvement of gut-kidney axis in the pathogenesis of DN and paving the way for future studies.

Indexed as

Blood ProteinsDiabetic NephropathiesGastrointestinal MicrobiomeProteomeGenome-Wide Association StudyHumansMendelian Randomization AnalysisProteomicsBlood ProteinsProteomeDiabetic nephropathyGut microbiotaMediation analysisMendelian randomization analysisPlasma proteins

Identifiers

PMID39953202
PMCPMC11828962

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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.