Evidence map›Paper›PMID 21801290›Full record

ArticleTraffic (Copenhagen, Denmark)2011

Mitochondrial cholesterol: a connection between caveolin, metabolism, and disease.

Marta Bosch, Montserrat Marí, Steven P Gross, José C Fernández-Checa, Albert Pol

Open access · greenAbstract read
In one paragraph

Article in Traffic (Copenhagen, Denmark), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
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  15. Review
  16. Mitochondria, cholesterol and cancer cell metabolism.Clinical and translational medicine · 2016
    Review
  17. Article
  18. Article
  19. Review
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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

5 authors at 3 institutions in 2 countries.

Marta BoschEquip de Proliferació i Senyalització Cel·lular, Institut d'Investigacions Biomèdiques August Pi i Sunyer, 08036 Barcelona, Spain.
Montserrat Marí
Steven P Gross
José C Fernández-Checa
Albert Pol
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESInstitut d'Investigacions Biomèdiques de Barcelona · ESUniversity of California, Irvine · US

Funding

The Southernearch Center for ALPD and CirrhosisP50AA011999 · NIAAA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ANNA S. GUKOVSKAYA · 1999 to 2026
$45.8M
In vivo regulation of bi-directional transportR01GM064624 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GROSS, STEVEN P · 2002 to 2012
$2.8M
NIAAA NIH HHS P50 AA011999NIGMS NIH HHS GM64624NIGMS NIH HHS R01 GM064624
6 · The paper itself

Abstract

Caveolin (CAV) is an essential component of caveolae, cholesterol-enriched invaginations of the plasma membrane of most mammalian cells. However, CAV is not restricted to plasma membrane caveolae, and pools of CAV are present in myriad intracellular membranes. CAV proteins tightly bind cholesterol and contribute to regulation of cholesterol fluxes and distributions within cells. In this context, we recently showed that CAV1 regulates the poorly understood process controlling mitochondrial cholesterol levels. Cholesterol accumulates in mitochondrial membranes in the absence of CAV1, promoting the organelle's dysfunction with important metabolic consequences for cells and animals. In this article, we suggest a working hypothesis that addresses the role of CAV1 within the homeostatic network that regulates the influx/efflux of mitochondrial cholesterol.

Indexed as

AnimalsCaveolaeCaveolin 1CholesterolHomeostasisMiceMitochondriaMitochondrial MembranesCaveolin 1Cholesterol

Identifiers

PMID21801290
PMCPMC3967746
OpenAlexW2142738591

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.