Evidence map›Paper›PMID 24746519›Full record

ReviewTrends in endocrinology and metabolism: TEM2014

Self-eating in the plaque: what macrophage autophagy reveals about atherosclerosis.

Ismail Sergin, Babak Razani

Open access · greenAbstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

75 citing papers in PubMed, 107 citations in OpenAlex.

  1. Review
  2. From lipid overload to autophagy collapse: how lipid dysregulation drives chronic inflammation and metabolic disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
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15 more citing papers are in PubMed but not listed here.

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.

Ismail SerginCardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, MO 63110, USA.
Babak RazaniCardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, MO 63110, USA; Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63110, USA. Electronic address: brazani@im.wustl.edu.
Washington University in St. Louis · US

Funding

De Novo Lipogenesis in Myocardial DysfunctionK08HL098559 · NHLBI · WASHINGTON UNIVERSITY · PI RAZANI, BABAK · 2010 to 2014
$589k
NHLBI NIH HHS K08 HL098559
6 · The paper itself

Abstract

Autophagy (or 'self-eating') is the process by which cellular contents are recycled to support downstream metabolism. An explosion in research in the past decade has implicated its role in both health and disease and established the importance of the autophagic response during periods of stress and nutrient deprivation. Atherosclerosis is a state where chronic exposure to cellular stressors promotes disease progression, and alterations in autophagy are predicted to be consequential. Recent reports linking macrophage autophagy to lipid metabolism, blunted inflammatory signaling, and an overall suppression of proatherogenic processes support this notion. We review these data and provide a framework for understanding the role of macrophage autophagy in the pathogenesis of atherosclerosis, one of the most formidable diseases of our time.

Indexed as

AtherosclerosisAutophagyDisease ProgressionHumansInflammationLipid MetabolismMacrophagesSignal Transductionatherosclerosisautophagyinflammationlipid metabolismmacrophage

Identifiers

PMID24746519
PMCPMC4061377
OpenAlexW2027393658

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.