Evidence map›Paper›PMID 28785025›Full record

ArticleScientific reports2017

Human Lipoproteins at Model Cell Membranes: Effect of Lipoprotein Class on Lipid Exchange.

K L Browning, T K Lind, S Maric, S Malekkhaiat-Häffner, G N Fredrikson, E Bengtsson, M Malmsten, M Cárdenas

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

K L BrowningDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
T K LindDepartment of Biomedical Sciences and Biofilms, Malmö University, Malmö, Sweden.
S MaricDepartment of Biomedical Sciences and Biofilms, Malmö University, Malmö, Sweden.
S Malekkhaiat-HäffnerDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
G N FredriksonDepartment of Clinical Sciences, Malmö, Lund University, Malmö, Sweden.
E BengtssonDepartment of Clinical Sciences, Malmö, Lund University, Malmö, Sweden.
M MalmstenDepartment of Pharmacy, Uppsala University, Uppsala, Sweden. martin.malmsten@farmaci.uu.se.
M CárdenasDepartment of Biomedical Sciences and Biofilms, Malmö University, Malmö, Sweden. marite.cardenas@mah.se.ORCID 0000-0003-0392-3540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High and low density lipoproteins (HDL and LDL) are thought to play vital roles in the onset and development of atherosclerosis; the biggest killer in the western world. Key issues of initial lipoprotein (LP) interactions at cellular membranes need to be addressed including LP deposition and lipid exchange. Here we present a protocol for monitoring the in situ kinetics of lipoprotein deposition and lipid exchange/removal at model cellular membranes using the non-invasive, surface sensitive methods of neutron reflection and quartz crystal microbalance with dissipation. For neutron reflection, lipid exchange and lipid removal can be distinguished thanks to the combined use of hydrogenated and tail-deuterated lipids. Both HDL and LDL remove lipids from the bilayer and deposit hydrogenated material into the lipid bilayer, however, the extent of removal and exchange depends on LP type. These results support the notion of HDL acting as the 'good' cholesterol, removing lipid material from lipid-loaded cells, whereas LDL acts as the 'bad' cholesterol, depositing lipid material into the vascular wall.

Indexed as

Cell MembraneHumansHydrogenationLipid BilayersLipoproteinsLipoproteins, HDLLipoproteins, LDLMembrane LipidsPlaque, AtheroscleroticQuartz Crystal Microbalance TechniquesLipid BilayersLipoproteinsLipoproteins, HDLLipoproteins, LDLMembrane Lipids

Identifiers

PMID28785025
PMCPMC5547137

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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.