Evidence map›Paper›PMID 34718455›Full record

SynthesisClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

A Dual, Systematic Approach to Malaria Diagnostic Biomarker Discovery.

Seda Yerlikaya, Ewurama D A Owusu, Augustina Frimpong, Robert Kirk DeLisle, Xavier C Ding

Abstract readSystematic Review
In one paragraph

Synthesis in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. 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
–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

3 citing papers in PubMed.

  1. Review
  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

5 authors.

Seda YerlikayaFoundation for Innovative New Diagnostics, Geneva, Switzerland.
Ewurama D A OwusuFoundation for Innovative New Diagnostics, Geneva, Switzerland.
Augustina FrimpongWest Africa Centre for Cell Biology of Infectious Pathogens, Department of Biochemistry, Cell and Molecular Biology, University of Ghana, Accra, Ghana.
Robert Kirk DeLisleColorado Computational, LLC, Longmont, Colorado, USA.
Xavier C DingFoundation for Innovative New Diagnostics, Geneva, Switzerland.

Funding

Department of Foreign Affairs and Trade, Australian Government
6 · The paper itself

Abstract

backgroundThe emergence and spread of Plasmodium falciparum parasites that lack HRP2/3 proteins and the resulting decreased utility of HRP2-based malaria rapid diagnostic tests (RDTs) prompted the World Health Organization and other global health stakeholders to prioritize the discovery of novel diagnostic biomarkers for malaria.

methodsTo address this pressing need, we adopted a dual, systematic approach by conducting a systematic review of the literature for publications on diagnostic biomarkers for uncomplicated malaria and a systematic in silico analysis of P. falciparum proteomics data for Plasmodium proteins with favorable diagnostic features.

resultsOur complementary analyses led us to 2 novel malaria diagnostic biomarkers compatible for use in an RDT format: glyceraldehyde 3-phosphate dehydrogenase and dihydrofolate reductase-thymidylate synthase.

conclusionsOverall, our results pave the way for the development of next-generation malaria RDTs based on new antigens by identifying 2 lead candidates with favorable diagnostic features and partially de-risked product development prospects.

Indexed as

MalariaMalaria, FalciparumAntigens, ProtozoanBiomarkersDiagnostic Tests, RoutineHumansPlasmodium falciparumProtozoan ProteinsSensitivity and SpecificityAntigens, ProtozoanBiomarkersProtozoan ProteinsbiomarkerDHFR-TSdiagnosticsGAPDHmalaria

Identifiers

PMID34718455
PMCPMC8752250

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.