Evidence map›Paper›PMID 29928317›Full record

ArticleClinical lipidology2013

Investigating Sitosterolemia to Understand Lipid Physiology.

T Hang Nghiem-Rao, Shailendra B Patel

Open access · greenAbstract read
In one paragraph

Article in Clinical lipidology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

T Hang Nghiem-RaoMedical College of Wisconsin, Milwaukee, WI, USA.
Shailendra B PatelMedical College of Wisconsin, and the Clement J. Zablocki Veterans Affairs Medical Center, Milwaukee, WI.
Medical College of Wisconsin · USMilwaukee VA Medical Center · US

Funding

Clincal and Translational Science AwardUL1TR000055 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI SHAKER, REZA NONE · 2012 to 2015
$11.3M
NCATS NIH HHS UL1 TR000055
6 · The paper itself

Abstract

The cholesterol molecule is at the center of the pathophysiology of many vascular diseases. Whole-body cholesterol pools are maintained by a balance of endogenous synthesis, dietary absorption and elimination from our bodies. While the cellular aspects of cholesterol metabolism received significant impetus from the seminal work of Goldstein and Brown investigating LDL receptor trafficking, how dietary cholesterol was absorbed and eliminated was relatively neglected. The identification of the molecular defect a rare human disorder, Sitosterolemia, led to elucidation of a key mechanism of how we regulate the excretory pathway in the liver and in the intestine. Two proteins, ABCG5 and ABCG8, constitute a heterodimeric transporter that facilitates the extrusion of sterols from the cell into the biliary lumen, with a preference for xenosterols. This mechanism explained how dietary xenosterols are prevented from accumulating in our bodies. In addition, this disease has also highlighted the potential harm of xenosterols; macrothrombocytopenia, liver disease and endocrine disruption are seen when xenosterols accumulate. Mouse models of this disease suggest that there are more dramatic alterations of physiology, suggesting that these highly conserved mechanisms have evolved to prevent these xenosterols from accumulating in our bodies.

Indexed as

AtherosclerosisATP-Binding Cassette TransportersEndocrine disruptionHemolysisInfertilityPhytosterolsPseudohomozygous Familial HypercholesterolemiaSplenomegalyThrombocytopeniaXanthomas

Identifiers

PMID29928317
PMCPMC6005666
OpenAlexW2079324684

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.