Evidence map›Paper›PMID 24824542›Full record

ArticlePloS one2014

Evaluation of a novel magneto-optical method for the detection of malaria parasites.

Agnes Orbán, Ádám Butykai, András Molnár, Zsófia Pröhle, Gergö Fülöp, Tivadar Zelles, Wasan Forsyth, Danika Hill, Ivo Müller, Louis Schofield and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. 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
5.5field-weighted citation impact, top 4% 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.

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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

14 authors at 6 institutions in 3 countries.

Agnes OrbánDepartment of Physics, Budapest University of Technology and Economics, Budapest, Hungary.
Ádám ButykaiDepartment of Physics, Budapest University of Technology and Economics, Budapest, Hungary.
András MolnárDepartment of Physics, Budapest University of Technology and Economics, Budapest, Hungary.
Zsófia PröhleDepartment of Physics, Budapest University of Technology and Economics, Budapest, Hungary.
Gergö FülöpDepartment of Physics, Budapest University of Technology and Economics, Budapest, Hungary.
Tivadar ZellesDepartment of Oral Biology, Semmelweis University, Budapest, Hungary.
Wasan ForsythInfection and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Danika HillInfection and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia.
Ivo MüllerInfection and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Louis SchofieldInfection and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Queensland Tropical Health Alliance Australian Institute of Tropical Health and Medicine James Cook University, Douglas, Queensland, Australia.
Maria RebeloInstituto de Medicina Molecular, Faculdade de Medicina, Lisbon, Portugal.
Thomas HänscheidInstituto de Medicina Molecular, Faculdade de Medicina, Lisbon, Portugal.
Stephan KarlInfection and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
István KézsmárkiDepartment of Physics, Budapest University of Technology and Economics, Budapest, Hungary; Condensed Matter Research Group of the Hungarian Academy of Sciences, Budapest, Hungary.
Budapest University of Technology and Economics · HUWalter and Eliza Hall Institute of Medical Research · AUInstituto de Medicina Molecular João Lobo AntunesNational Legal Medicine Institute · PTSemmelweis University · HUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving the efficiency of malaria diagnosis is one of the main goals of current malaria research. We have recently developed a magneto-optical (MO) method which allows high-sensitivity detection of malaria pigment (hemozoin crystals) in blood via the magnetically induced rotational motion of the hemozoin crystals. Here, we evaluate this MO technique for the detection of Plasmodium falciparum in infected erythrocytes using in-vitro parasite cultures covering the entire intraerythrocytic life cycle. Our novel method detected parasite densities as low as ∼ 40 parasites per microliter of blood (0.0008% parasitemia) at the ring stage and less than 10 parasites/µL (0.0002% parasitemia) in the case of the later stages. These limits of detection, corresponding to approximately 20 pg/µL of hemozoin produced by the parasites, exceed that of rapid diagnostic tests and compete with the threshold achievable by light microscopic observation of blood smears. The MO diagnosis requires no special training of the operator or specific reagents for parasite detection, except for an inexpensive lysis solution to release intracellular hemozoin. The devices can be designed to a portable format for clinical and in-field tests. Besides testing its diagnostic performance, we also applied the MO technique to investigate the change in hemozoin concentration during parasite maturation. Our preliminary data indicate that this method may offer an efficient tool to determine the amount of hemozoin produced by the different parasite stages in synchronized cultures. Hence, it could eventually be used for testing the susceptibility of parasites to antimalarial drugs.

Indexed as

BiomarkersHemeproteinsHumansMalariaPlasmodium falciparumSensitivity and SpecificityBiomarkersHemeproteinshemozoin

Identifiers

PMID24824542
PMCPMC4019541
OpenAlexW2000722808

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.