Evidence map›Paper›PMID 21633658›Full record

ReviewWorld journal of gastroenterology2011

microRNAs: fad or future of liver disease.

Ashley M Lakner, Herbert L Bonkovsky, Laura W Schrum

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
6.4field-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

41 citing papers in PubMed, 85 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Non-Coding RNAs: Novel Players in Insulin Resistance and Related Diseases.International journal of molecular sciences · 2021
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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  19. Article
  20. 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 at 1 institution in 1 country.

Ashley M LaknerDepartment of Biology, University of North Carolina at Charlotte, Charlotte, 28223 NC, United States.
Herbert L Bonkovsky
Laura W Schrum
University of North Carolina at Charlotte · US

Funding

Using Technology to Enhance Cancer Communication and Improve Clinical OutcomesP50CA095817 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H · 2003 to 2012
$19.3M
REGULATION OF HEPATIC HEME METABOLISMR01DK038825 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BONKOVSKY, HERBERT L · 1987 to 2009
$3.4M
NFkB-mediated collagen regulation by SAMe in HSCsR01AA014891 · NIAAA · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI SCHRUM, LAURA W · 2005 to 2008
$838k
NCI NIH HHS P50 CA095817NIAAA NIH HHS AA014891NIAAA NIH HHS R01 AA014891NIDDK NIH HHS DK38825NIDDK NIH HHS R01 DK038825
6 · The paper itself

Abstract

microRNAs (miRs) are small non-coding RNAs that regulate both mRNA and protein expression of target genes, which results in alterations in mRNA stability or translation inhibition. miRs influence at least one third of all human transcripts and are known regulators of various important cellular growth and differentiation factors. miRs have recently emerged as key regulatory molecules in chronic liver disease. This review details recent contributions to the field of miRs that influence liver development and the broad spectrum of disease, from non-alcoholic fatty liver disease to fibrosis/cirrhosis, with particular emphasis on hepatic stellate cells and potential use of miRs as therapeutic tools.

Indexed as

AnimalsFatty LiverHumansLiver CirrhosisLiver DiseasesLiver RegenerationMicroRNAsNon-alcoholic Fatty Liver DiseaseMicroRNAsFibrosisHepatic stellate cellsLivermicroRNAmRNA

Identifiers

PMID21633658
PMCPMC3103811
OpenAlexW2413505305

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.