Evidence map›Paper›PMID 27874055›Full record

ArticleScientific reports2016

The coordinated roles of miR-26a and miR-30c in regulating TGFβ1-induced epithelial-to-mesenchymal transition in diabetic nephropathy.

Zongji Zheng, Meiping Guan, Yijie Jia, Dan Wang, Ruoyu Pang, Fuping Lv, Zhizhou Xiao, Ling Wang, Hongbin Zhang, Yaoming Xue

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
5.8field-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

46 citing papers in PubMed, 4 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Review
  6. Review
  7. Review
  8. miRNA in the Progression of Diabetic Kidney Disease: New Insight.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. MicroRNAs in kidney injury and disease.Nature reviews. Nephrology · 2022
    Review
  18. Magnesium in renal fibrosis.International urology and nephrology · 2022
    Review
  19. Review
  20. Article
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

10 authors at 3 institutions in 2 countries.

Zongji ZhengDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Meiping GuanDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Yijie JiaDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Dan WangDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Ruoyu PangDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Fuping LvDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Zhizhou XiaoDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Ling WangDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Hongbin ZhangDepartment of Biomedical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark.
Yaoming XueDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Southern Medical University · CNNanfang Hospital · CNUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) play vital roles in the development of diabetic nephropathy. Here, we compared the protective efficacies of miR-26a and miR-30c in renal tubular epithelial cells (NRK-52E) and determined whether they demonstrated additive effects in the attenuation of renal fibrosis. TGFβ1 suppressed miR-26a and miR-30c expression but up-regulated pro-fibrotic markers in NRK-52E cells, and these changes were also found in the kidney cortex of 40-week-old diabetic Otsuka Long-Evans Tokushima fatty (OLETF) rats. Bioinformatic analyses and luciferase assays further demonstrated that both miR-26a and miR-30c targeted connective tissue growth factor (CTGF); additionally, Snail family zinc finger 1 (Snail1), a potent epithelial-to-mesenchymal transition (EMT) inducer, was targeted by miR-30c. Overexpression of miR-26a and miR-30c coordinately decreased CTGF protein levels and subsequently ameliorated TGFβ1-induced EMT in NRK-52E cells. Co-silencing of miR-26a and miR-30c exhibited the opposite effect. Moreover, miR-26a and miR-30c co-silenced CTGF to decrease ERK1/2 and p38 MAPK activation. Furthermore, miR-26a was up-regulated in urinary extracellular vesicles of diabetic nephropathy patients. Our study provides evidence for the cooperative roles of miR-26a and miR-30c in the pathogenesis of diabetic nephropathy, and the co-targeting of miR-26a and miR-30c could provide a new direction for diabetic nephropathy treatment.

Indexed as

AnimalsBase SequenceConnective Tissue Growth FactorDiabetic NephropathiesDown-RegulationEpithelial-Mesenchymal TransitionExtracellular VesiclesFibrosisHumansMicroRNAsModels, BiologicalRatsRats, Inbred OLETFSignal TransductionSnail Family Transcription FactorsTransforming Growth Factor beta1Connective Tissue Growth FactorMicroRNAsMIRN26 microRNA, humanMIRN26 microRNA, ratMIRN30b microRNA, humanMIRN30 microRNA, ratSnail Family Transcription FactorsTransforming Growth Factor beta1

Identifiers

PMID27874055
PMCPMC5118685
OpenAlexW2550369997

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.