Evidence map›Paper›PMID 31783858›Full record

ArticleMalaria journal2019

The effects of dyslipidaemia and cholesterol modulation on erythrocyte susceptibility to malaria parasite infection.

Marion Koch, Jaimini Cegla, Ben Jones, Yuning Lu, Ziad Mallat, Andrew M Blagborough, Fiona Angrisano, Jake Baum

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. TheScience advances · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. The role of cholesterol in invasion and growth of malaria parasites.Frontiers in cellular and infection microbiology · 2022
    Review
  9. Protective Effects ofJournal of parasitology research · 2021
    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

8 authors at 2 institutions in 1 country.

Marion KochDepartment of Life Sciences, Imperial College London, Exhibition Road, South Kensington, London, SW7 2AZ, UK.
Jaimini CeglaDivision of Diabetes, Endocrinology & Metabolism, Imperial College London, London, UK.
Ben JonesDivision of Diabetes, Endocrinology & Metabolism, Imperial College London, London, UK.
Yuning LuDivision of Cardiovascular Medicine, Department of Medicine, University of Cambridge, Cambridge, UK.
Ziad MallatDivision of Cardiovascular Medicine, Department of Medicine, University of Cambridge, Cambridge, UK.
Andrew M BlagboroughDepartment of Life Sciences, Imperial College London, Exhibition Road, South Kensington, London, SW7 2AZ, UK.
Fiona AngrisanoDepartment of Life Sciences, Imperial College London, Exhibition Road, South Kensington, London, SW7 2AZ, UK.
Jake BaumDepartment of Life Sciences, Imperial College London, Exhibition Road, South Kensington, London, SW7 2AZ, UK. jake.baum@imperial.ac.uk.ORCID http://orcid.org/0000-0002-0275-352X
Imperial College London · GBUniversity of Cambridge · GB

Funding

British Heart Foundation RG/15/11/31593Medical Research Council MR/K023667/1Medical Research Council MR/K501281/1Wellcome TrustWellcome Trust (GB) 100993/Z/13/Z J.B.
6 · The paper itself

Abstract

backgroundMalaria disease commences when blood-stage parasites, called merozoites, invade human erythrocytes. Whilst the process of invasion is traditionally seen as being entirely merozoite-driven, emerging data suggests erythrocyte biophysical properties markedly influence invasion. Cholesterol is a major determinant of cell membrane biophysical properties demanding its interrogation as a potential mediator of resistance to merozoite invasion of the erythrocyte.

methodsBiophysical measurements of erythrocyte deformability by flicker spectroscopy were used to assess changes in erythrocyte bending modulus on forced integration of cholesterol and how these artificial changes affect invasion by human Plasmodium falciparum merozoites. To validate these observations in a natural context, either murine Plasmodium berghei or human Plasmodium falciparum merozoites were tested for their ability to invade erythrocytes from a hypercholesterolaemic mouse model or human clinical erythrocyte samples deriving from patients with a range of serum cholesterol concentrations, respectively.

resultsErythrocyte bending modulus (a measure of deformability) was shown to be markedly affected by artificial modulation of cholesterol content and negatively correlated with merozoite invasion efficiency. In an in vitro infection context, however, erythrocytes taken from hypercholesterolaemic mice or from human clinical samples with varying serum cholesterol levels showed little difference in their susceptibility to merozoite invasion. Explaining this, membrane cholesterol levels in both mouse and human hypercholesterolaemia erythrocytes were subsequently found to be no different from matched normal serum controls.

conclusionsBased on these observations, serum cholesterol does not appear to impact on erythrocyte susceptibility to merozoite entry. Indeed, no relationship between serum cholesterol and cholesterol content of the erythrocyte is apparent. This work, nonetheless, suggests that native polymorphisms which do affect membrane lipid composition would be expected to affect parasite entry. This supports investigation of erythrocyte biophysical properties in endemic settings, which may yet identify naturally protective lipid-related polymorphisms.

Indexed as

AnimalsBiophysical PhenomenaCholesterolDyslipidemiasErythrocytesHumansMalariaMalaria, FalciparumMaleMicePlasmodium bergheiPlasmodium falciparumCholesterolFlicker microscopyHost–parasite interactionsMembrane biophysicsMerozoitePlasmodium falciparumRed blood cell

Identifiers

PMID31783858
PMCPMC6884832
OpenAlexW2990219237

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.