Evidence map›Paper›PMID 20425274›Full record

ReviewCurrent atherosclerosis reports2010

Future therapeutic directions in reverse cholesterol transport.

Amit V Khera, Daniel J Rader

Abstract readReview
In one paragraph

Review in Current atherosclerosis reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Effect of Probiotics ContainingFoods (Basel, Switzerland) · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Interactions of Lipid Droplets with the Intracellular Transport Machinery.International journal of molecular sciences · 2021
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. HDL and Reverse Cholesterol Transport.Circulation research · 2019
    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.

Amit V KheraInstitute for Translational Medicine and Therapeutics and Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA, USA.
Daniel J Rader

Funding

TISSUE CULTURE CORE LABORATORYP01HL022633 · NHLBI · MCP HAHNEMANN UNIVERSITY · PI LUND-KATZ, SISSEL · 1985 to 2013
$26.1M
NHLBI NIH HHS P01 HL022633NHLBI NIH HHS P01-HL22633
6 · The paper itself

Abstract

Despite a robust inverse association between high-density lipoprotein (HDL) cholesterol levels and atherosclerotic cardiovascular disease, the development of new therapies based on pharmacologic enhancement of HDL metabolism has proven challenging. Emerging evidence suggests that static measurement of HDL levels has inherent limitations as a surrogate for overall HDL functionality, particularly with regard to the rate of flux through the macrophage reverse cholesterol transport (RCT) pathway. Recent research has provided important insight into the molecular underpinnings of RCT, the process by which excess cellular cholesterol is effluxed from peripheral tissues and returned to the liver for ultimate intestinal excretion. This review discusses the critical importance and current strategies for quantifying RCT flux. It also highlights therapeutic strategies for augmenting macrophage RCT via three conceptual approaches: 1) improved efflux of cellular cholesterol via targeting the macrophage; 2) enhanced cholesterol efflux acceptor functionality of circulating HDL; and 3) increased hepatic uptake and biliary/intestinal excretion.

Indexed as

Anticholesteremic AgentsAtherosclerosisBiological TransportCholesterol, HDLDisease ProgressionHumansLipid MetabolismMacrophagesPrognosisAnticholesteremic AgentsCholesterol, HDL

Identifiers

PMID20425274
PMCPMC3315100

What OpenQuestion holds

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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.