Evidence map›Paper›PMID 29237459›Full record

ArticleLipids in health and disease2017

Quantification of sterol-specific response in human macrophages using automated imaged-based analysis.

Deborah L Gater, Namareq Widatalla, Kinza Islam, Maryam AlRaeesi, Jeremy C M Teo, Yanthe E Pearson

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

6 authors at 2 institutions in 1 country.

Deborah L GaterDepartment of Chemistry, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates. deborah.gater@kustar.ac.ae.
Namareq WidatallaDepartment of Biomedical Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates.
Kinza IslamDepartment of Biomedical Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates.
Maryam AlRaeesiDepartment of Biomedical Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates.
Jeremy C M TeoDepartment of Biomedical Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates.
Yanthe E PearsonCenter for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates. pearsy02@nyu.edu.
Khalifa University of Science and Technology · AENew York University Abu Dhabi · AE

Funding

Khalifa University of Science, Technology and Research 210034
6 · The paper itself

Abstract

backgroundThe transformation of normal macrophage cells into lipid-laden foam cells is an important step in the progression of atherosclerosis. One major contributor to foam cell formation in vivo is the intracellular accumulation of cholesterol.

methodsHere, we report the effects of various combinations of low-density lipoprotein, sterols, lipids and other factors on human macrophages, using an automated image analysis program to quantitatively compare single cell properties, such as cell size and lipid content, in different conditions.

resultsWe observed that the addition of cholesterol caused an increase in average cell lipid content across a range of conditions. All of the sterol-lipid mixtures examined were capable of inducing increases in average cell lipid content, with variations in the distribution of the response, in cytotoxicity and in how the sterol-lipid combination interacted with other activating factors. For example, cholesterol and lipopolysaccharide acted synergistically to increase cell lipid content while also increasing cell survival compared with the addition of lipopolysaccharide alone. Additionally, ergosterol and cholesteryl hemisuccinate caused similar increases in lipid content but also exhibited considerably greater cytotoxicity than cholesterol.

conclusionsThe use of automated image analysis enables us to assess not only changes in average cell size and content, but also to rapidly and automatically compare population distributions based on simple fluorescence images. Our observations add to increasing understanding of the complex and multifactorial nature of foam-cell formation and provide a novel approach to assessing the heterogeneity of macrophage response to a variety of factors.

Indexed as

AtherosclerosisCell DifferentiationCholesterolCholesterol EstersErgosterolFluorescent DyesFoam CellsHumansImage Processing, Computer-AssistedLipopolysaccharidesLipoproteins, LDLMacrophagesModels, BiologicalOptical ImagingTetradecanoylphorbol AcetateTHP-1 CellsCholesterolCholesterol Esterscholesteryl succinateErgosterolFluorescent DyesLipopolysaccharidesLipoproteins, LDLTetradecanoylphorbol AcetateCholesterolErgosterolFoam cellImage processingLipid dropletLysophosphatidylcholineTHP-1VesicleWatershedding

Identifiers

PMID29237459
PMCPMC5729278
OpenAlexW2772840846

What OpenQuestion holds

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LicenceCC BY
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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.