Evidence mapPaperPMID 41516293Full record

ReviewInternational journal of molecular sciences2025

miRNA in the Progression of Diabetic Kidney Disease: New Insight.

Zhiyue Zou, Ning Zhou, Chun Zhang

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

3 authors.

Zhiyue ZouDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Ning ZhouDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.ORCID 0000-0001-9667-9115
Chun ZhangDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.ORCID 0000-0003-3565-8024

Funding

National Natural Science Foundation of China 82370728National Natural Science Foundation of China 82470771National Natural Science Foundation of China 82570823National Natural Science Foundation of China 82570881
6 · The paper itself

Abstract

Diabetic kidney disease (DKD) is a major microvascular complication of diabetes and a leading cause of end-stage renal disease worldwide. Despite advances in metabolic and blood pressure control, the prevalence of DKD continues to rise, creating a significant clinical and socioeconomic burden. Recent studies have revealed that non-coding RNAs, particularly microRNAs (miRNAs), play an important role in the development and progression of DKD. Distinct patterns of miRNA dysregulation have been identified in specific renal cell types, including podocytes, mesangial cells, tubular epithelial cells, endothelial cells, fibroblasts, and macrophages. These alterations drive characteristic cellular injuries such as podocyte loss, mesangial matrix expansion, tubular epithelial-mesenchymal transition, endothelial dysfunction, and interstitial fibrosis. Certain miRNAs, such as miR-21, miR-192, and miR-214, reinforce profibrotic TGF-β/Smad signaling, whereas protective groups, including the miR-29 and miR-30 families, maintain epithelial stability and restrict matrix deposition. Beyond their regulatory roles, circulating and urinary miRNAs have emerged as stable, non-invasive biomarkers that reflect renal injury and disease progression. This review summarizes recent progress in elucidating cell-specific miRNA networks in DKD and highlights their potential as diagnostic indicators and therapeutic targets for precision management of diabetic kidney disease.

Indexed as

Diabetic NephropathiesMicroRNAsAnimalsBiomarkersDisease ProgressionGene Expression RegulationHumansSignal TransductionBiomarkersMicroRNAsbiomarkerdiabetic kidney diseasemiRNA

Identifiers

PMID41516293
PMCPMC12785952

What Socratic holds

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LicenceCC BY
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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.