Evidence map›Paper›PMID 24385511›Full record

ReviewCirculation research2014

MicroRNA control of high-density lipoprotein metabolism and function.

Katey J Rayner, Kathryn J Moore

Open access · bronzeAbstract readReview
In one paragraph

Review in Circulation research, 2014. 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
4.9field-weighted citation impact, top 4% 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, 86 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Review
  6. Connecting the Dots: How MicroRNAs Link Asthma and Atherosclerosis.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

2 authors at 1 institution in 1 country.

Katey J RaynerFrom the University of Ottawa Heart Institute, Ottawa, Ontario, Canada (K.J.R.); and Marc and Ruti Bell Vascular Biology and Disease Program, Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine (K.J.M.).
Kathryn J Moore
University of Ottawa · CA

Funding

MicroRNAs as physiological and pathological regulators of cholesterol homeostasisR01HL108182 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MOORE, KATHRYN J · 2011 to 2015
$2.1M
CIHRNHLBI NIH HHS R01 HL108182
6 · The paper itself

Abstract

Recent discoveries of microRNAs (miRNAs) that control high-density lipoprotein abundance and function have expanded our knowledge of the mechanisms regulating this important lipoprotein subclass. miRNAs have been shown to regulate gene networks that control high-density lipoprotein biogenesis and uptake, as well as discrete steps in the reverse cholesterol transport pathway. Furthermore, high-density lipoprotein itself has been shown to transport miRNAs selectively in health and disease, offering new possibilities of how this lipoprotein may alter gene expression in distal target cells and tissues. Collectively, these discoveries offer new insights into the mechanisms governing high-density lipoprotein metabolism and function and open new avenues for the development of therapeutics for the treatment of cardiovascular disease.

Indexed as

AnimalsBiological TransportGene Expression RegulationGene Regulatory NetworksHomeostasisHumansLipoproteins, HDLMicroRNAsLipoproteins, HDLMicroRNAscholesterol, HDLlipid metabolismmicroRNAs

Identifiers

PMID24385511
PMCPMC4367480
OpenAlexW2163792483

What OpenQuestion holds

Textmetadata
LicenceTDM
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.