Evidence map›Paper›PMID 26063197›Full record

ArticleDiabetologia2015

MicroRNA-26a inhibits TGF-β-induced extracellular matrix protein expression in podocytes by targeting CTGF and is downregulated in diabetic nephropathy.

Kenichi Koga, Hideki Yokoi, Kiyoshi Mori, Masato Kasahara, Takashige Kuwabara, Hirotaka Imamaki, Akira Ishii, Keita P Mori, Yukiko Kato, Shoko Ohno and 6 more

Open access · bronzeAbstract read
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In one paragraph

Article in Diabetologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Roles of microRNAs in cardiorenal syndrome.Molecular and cellular biochemistry · 2025
    Review
  5. Review
  6. Urinary podocyte markers in diabetic kidney disease.Kidney research and clinical practice · 2024
    Article
  7. [The Role of TGF-β1/SMAD in Diabetic Nephropathy: Mechanisms and Research Development].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. MicroRNAs in kidney injury and disease.Nature reviews. Nephrology · 2022
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

3 more citing papers are in PubMed but not listed here.

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

16 authors at 5 institutions in 2 countries.

Kenichi KogaDepartment of Nephrology, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Hideki Yokoi
Kiyoshi Mori
Masato Kasahara
Takashige Kuwabara
Hirotaka Imamaki
Akira Ishii
Keita P Mori
Yukiko Kato
Shoko Ohno
Naohiro Toda
Moin A Saleem
Akira Sugawara
Kazuwa Nakao
Motoko Yanagita
Masashi Mukoyama
Kyoto University · JPKumamoto University · JPKyoto University Hospital · JPOsaka Red Cross Hospital · JPUniversity of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisThe accumulation of extracellular matrix (ECM) is a characteristic of diabetic nephropathy, and is partially caused by profibrotic proteins TGF-β and connective tissue growth factor (CTGF). We aimed to identify microRNAs (miRNAs) targeting CTGF on podocytes in diabetic nephropathy.

methodsWe investigated miRNAs targeting CTGF on podocytes with miRNA array analysis and identified a candidate miRNA, miR-26a. Using overexpression and silencing of miR-26a in cultured podocytes, we examined changes of ECM and its host genes. We further investigated glomerular miR-26a expression in humans and in mouse models of diabetic nephropathy.

resultsmiR-26a, which was downregulated by TGF-β1, was expressed in glomerular cells including podocytes and in tubules by in situ hybridisation. Glomerular miR-26a expression was downregulated by 70% in streptozotocin-induced diabetic mice. Transfection of miR-26a mimics in cultured human podocytes decreased the CTGF protein level by 50%, and directly inhibited CTGF expression in podocytes, as demonstrated by a reporter assay with the 3'-untranslated region of the CTGF gene. This effect was abolished by a mutant plasmid. miR-26a mimics also inhibited TGF-β1-induced collagen expression, SMAD-binding activity and expression of its host genes CTDSP2 and CTDSPL. Knockdown of CTDSP2 and CTDSPL increased collagen expression in TGF-β-stimulated podocytes, suggesting that host genes also regulate TGF-β/SMAD signalling. Finally, we observed a positive correlation between microdissected glomerular miR-26a expression levels and estimated GFR in patients with diabetic nephropathy. CONCLUSIONS/

interpretationThe downregulation of miR-26a is involved in the progression of diabetic nephropathy both in humans and in mice through enhanced TGF-β/CTGF signalling.

Indexed as

3' Untranslated RegionsAnimalsBase SequenceBiopsyConnective Tissue Growth FactorDiabetes Mellitus, ExperimentalDiabetic NephropathiesDisease ProgressionDown-RegulationExtracellular MatrixFemaleGene Expression RegulationGene SilencingGlomerular Filtration RateHumansKidney Glomerulus3' Untranslated RegionsCCN2 protein, humanCCN2 protein, mouseConnective Tissue Growth FactorCTDSP2 protein, humanCTDSPL protein, humanMicroRNAsMIRN26 microRNA, humanMirn26 microRNA, mouseNuclear ProteinsPhosphoprotein PhosphatasesSmad ProteinsStreptozocinTGFB1 protein, humanTgfb1 protein, mouseTransforming Growth Factor beta1Tumor Suppressor Proteins

Identifiers

PMID26063197
OpenAlexW603958691

What OpenQuestion holds

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Read underepoch 390

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 OpenQuestion graph.