Evidence map›Paper›PMID 26613945›Full record

ReviewThe Biochemical journal2015

High-density lipoprotein mimetics: promises and challenges.

Dmitri Sviridov, Alan T Remaley

Abstract readReview
In one paragraph

Review in The Biochemical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Can "Bad" HDL Be Turned Good Again?Arteriosclerosis, thrombosis, and vascular biology · 2023
    Article
  11. Review
  12. HDL Mimetic Peptides.Advances in experimental medicine and biology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. 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

2 authors.

Dmitri SviridovLaboratory of Lipoproteins and Atherosclerosis, Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia Dmitri.Sviridov@bakeridi.edu.au.
Alan T RemaleyLipoprotein Section, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, U.S.A.

Funding

Development of Apo Mimetic Peptides for the Treatment Cardiovascular DiseaseZIAHL006095 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI REMALEY, ALAN THOMAS · 2010 to 2025
$20.3M
Development Of New Assays For Lipoprotein TestingZIACL010303 · CLC · CLINICAL CENTER · PI REMALEY, ALAN THOMAS · 2009 to 2017
$0k
Intramural NIH HHS ZIA HL006095
6 · The paper itself

Abstract

The concept of lipoprotein mimetics was developed and extensively tested in the last three decades. Most lipoprotein mimetics were designed to recreate one or several functions of high-density lipoprotein (HDL) in the context of cardiovascular disease; however, the application of this approach is much broader. Lipoprotein mimetics should not just be seen as a set of compounds aimed at replenishing a deficiency or dysfunctionality of individual elements of lipoprotein metabolism but rather as a designer concept with remarkable flexibility and numerous applications in medicine and biology. In the present review, we discuss the fundamental design principles used to create lipoprotein mimetics, mechanisms of their action, medical indications and efficacy in animal models and human studies.

Indexed as

Drug DesignLipoproteins, HDLPeptidomimeticsAnimalsHumansLipoproteins, HDLPeptidomimeticsapolipoproteinsatherosclerosischolesterol metabolismlipoprotein metabolismpeptides

Identifiers

PMID26613945
PMCPMC5606976

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.