Evidence map›Paper›PMID 21310958›Full record

ArticleThe Journal of biological chemistry2011

MicroRNA-29c is a signature microRNA under high glucose conditions that targets Sprouty homolog 1, and its in vivo knockdown prevents progression of diabetic nephropathy.

Jianyin Long, Yin Wang, Wenjian Wang, Benny H J Chang, Farhad R Danesh

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 1 pooled it
9.9field-weighted citation impact, top 1% 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

157 citing papers in PubMed, 1 synthesis or guideline pooled it, 265 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Molecular Therapeutics for Diabetic Kidney Disease: An Update.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Urinary podocyte markers in diabetic kidney disease.Kidney research and clinical practice · 2024
    Article
  10. Article
  11. Metabolic memory: mechanisms and diseases.Signal transduction and targeted therapy · 2024
    Review
  12. Article
  13. Research progress onFrontiers in pharmacology · 2024
    Review
  14. Article
  15. The Role of MicroRNA in the Pathogenesis of Diabetic Nephropathy.International journal of molecular sciences · 2023
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review

97 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

5 authors at 1 institution in 1 country.

Jianyin LongDivision of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, Texas 77030, USA.
Yin Wang
Wenjian Wang
Benny H J Chang
Farhad R Danesh
Baylor College of Medicine · US

Funding

Diabetes Endocrinology Research CenterP30DK079638 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI CHAN, LAWRENCE · 2008 to 2012
$6.4M
Role of Rho Kinases in Diabetic NephropathyR01DK078900 · NIDDK · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DANESH, FARHAD R · 2009 to 2024
$5.2M
Statins and VEGF-induced cytoskeletal remodelingR01DK067604 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DANESH, FARHAD R · 2005 to 2009
$1.7M
NIDDK NIH HHS DK079638NIDDK NIH HHS P30 DK079638NIDDK NIH HHS R01 DK067604NIDDK NIH HHS R01DK067604NIDDK NIH HHS R01 DK078900NIDDK NIH HHS R01DK078900
6 · The paper itself

Abstract

Although several recent publications have suggested that microRNAs contribute to the pathogenesis of diabetic nephropathy, the role of miRNAs in vivo still remains poorly understood. Using an integrated in vitro and in vivo comparative miRNA expression array, we identified miR-29c as a signature miRNA in the diabetic environment. We validated our profiling array data by examining miR-29c expression in the kidney glomeruli obtained from db/db mice in vivo and in kidney microvascular endothelial cells and podocytes treated with high glucose in vitro. Functionally, we found that miR-29c induces cell apoptosis and increases extracellular matrix protein accumulation. Indeed, forced expression of miR-29c strongly induced podocyte apoptosis. Conversely, knockdown of miR-29c prevented high glucose-induced cell apoptosis. We also identified Sprouty homolog 1 (Spry1) as a direct target of miR-29c with a nearly perfect complementarity between miR-29c and the 3'-untranslated region (UTR) of mouse Spry1. Expression of miR-29c decreased the luciferase activity of Spry1 when co-transfected with the mouse Spry1 3'-UTR reporter construct. Overexpression of miR-29c decreased the levels of Spry1 protein and promoted activation of Rho kinase. Importantly, knockdown of miR-29c by a specific antisense oligonucleotide significantly reduced albuminuria and kidney mesangial matrix accumulation in the db/db mice model in vivo. These findings identify miR-29c as a novel target in diabetic nephropathy and provide new insights into the role of miR-29c in a previously unrecognized signaling cascade involving Spry1 and Rho kinase activation.

Indexed as

Gene Expression Regulation3' Untranslated RegionsAdaptor Proteins, Signal TransducingAnimalsApoptosisCell Line, TransformedDiabetic NephropathiesEnzyme ActivationExtracellular MatrixExtracellular Matrix ProteinsGene Knockdown TechniquesGlucoseMembrane ProteinsMiceMicroRNAsOligodeoxyribonucleotides, Antisense3' Untranslated RegionsAdaptor Proteins, Signal TransducingExtracellular Matrix ProteinsGlucoseMembrane ProteinsMicroRNAsMIRN29 microRNA, mouseOligodeoxyribonucleotides, AntisensePhosphoproteinsrho-Associated KinasesSpry1 protein, mouse

Identifiers

PMID21310958
PMCPMC3064234
OpenAlexW2063404839

What OpenQuestion holds

Textmetadata
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.