Evidence map›Paper›PMID 21799505›Full record

ArticleKidney international2011

The complex world of kidney microRNAs.

Balakuntalam S Kasinath, Denis Feliers

Open access · bronzeAbstract readComment
PubMed Publisher
In one paragraph

Article in Kidney international, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Inhibiting MicroRNA-503 and MicroRNA-181d with Losartan Ameliorates Diabetic Nephropathy in KKAy Mice.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Article
  11. Review
  12. Article
  13. Novel therapies for FSGS: preclinical and clinical studies.Advances in chronic kidney disease · 2015
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Molecular targets for treatment of kidney fibrosis.Journal of molecular medicine (Berlin, Germany) · 2013
    Review
  19. MicroRNAs in HIV-associated nephropathy (HIVAN).Experimental and molecular pathology · 2013
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Balakuntalam S KasinathDepartment of Medicine, University of Texas Health Science Center, South Texas Veterans Health Care System, San Antonio, Texas 78229, USA. Kasinath@uthscsa.edu
Denis Feliers
The University of Texas Health Science Center at San Antonio · US

Funding

Can Rapamycin Retard Age-Related Diseases?RC2AG036613 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI RICHARDSON, ARLAN G. · 2009 to 2010
$5.2M
Novel mechanisms of diabetic nephropathyR01DK077295 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI KASINATH, BALAKUNTALAM S · 2007 to 2011
$1.3M
NIA NIH HHS RC2 AG036613NIDDK NIH HHS DK077295NIDDK NIH HHS R01 DK077295
6 · The paper itself

Abstract

MicroRNAs are short noncoding RNAs that usually reduce translation of messenger RNAs. Changes in microRNA-192 (miR-192) are reported in states of renal fibrosis. New evidence supports a role for miR-192 and its target miR-200b/c in transforming growth factor-β1 regulation of its own expression and that of collagens in mesangial cells, with a possible role in diabetic nephropathy. As there is controversy on the role of these microRNAs in diabetic nephropathy, more work is needed.

Indexed as

AnimalsDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic NephropathiesMesangial CellsMicroRNAsTransforming Growth Factor beta1MicroRNAsTgfb1 protein, mouseTransforming Growth Factor beta1

Identifiers

PMID21799505
OpenAlexW1963655825

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.