Evidence map›Paper›PMID 34181872›Full record

ArticleeLife2021

Developing a multivariate prediction model of antibody features associated with protection of malaria-infected pregnant women from placental malaria.

Elizabeth H Aitken, Timon Damelang, Amaya Ortega-Pajares, Agersew Alemu, Wina Hasang, Saber Dini, Holger W Unger, Maria Ome-Kaius, Morten A Nielsen, Ali Salanti and 7 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 47 citations in OpenAlex.

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  16. Malaria diagnosis challenges andPathogens and global health · 2024
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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

17 authors at 5 institutions in 3 countries.

Elizabeth H Aitken *Department of Medicine, University of Melbourne, the Doherty Institute, Melbourne, Australia.ORCID https://orcid.org/0000-0002-2677-6208
Timon Damelang *Department of Microbiology and Immunology, University of Melbourne, the Doherty Institute, Melbourne, Australia.ORCID http://orcid.org/0000-0002-6150-4435
Amaya Ortega-Pajares *Department of Medicine, University of Melbourne, the Doherty Institute, Melbourne, Australia.
Agersew AlemuDepartment of Medicine, University of Melbourne, the Doherty Institute, Melbourne, Australia.
Wina HasangDepartment of Medicine, University of Melbourne, the Doherty Institute, Melbourne, Australia.
Saber DiniCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Holger W UngerDepartment of Medicine, University of Melbourne, the Doherty Institute, Melbourne, Australia.
Maria Ome-KaiusWalter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Morten A NielsenCentre for Medical Parasitology, Department of Microbiology and immunology, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-2668-4992
Ali SalantiCentre for Medical Parasitology, Department of Microbiology and immunology, University of Copenhagen, Copenhagen, Denmark.
Joe SmithSeattle Children's Research Institute, Seattle, United States.ORCID http://orcid.org/0000-0002-7915-6360
Stephen KentDepartment of Microbiology and Immunology, University of Melbourne, the Doherty Institute, Melbourne, Australia.
P Mark HogarthSeattle Children's Research Institute, Seattle, United States.
Bruce D WinesImmune Therapies Group, Centre for Biomedical Research, Burnet Institute, Melbourne, Australia.
Julie A SimpsonCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0002-2660-2013
Amy W Chung *Department of Microbiology and Immunology, University of Melbourne, the Doherty Institute, Melbourne, Australia.
Stephen J Rogerson *Department of Medicine, University of Melbourne, the Doherty Institute, Melbourne, Australia.ORCID https://orcid.org/0000-0003-4287-1982
The University of Melbourne · AUBurnet Institute · AUUniversity of Copenhagen · DKUniversity of Washington · USWalter and Eliza Hall Institute of Medical Research · AU

Funding

Bill and Melinda Gates Foundation 46099National Health and Medical Research Council APP1092789National Health and Medical Research Council APP1104975National Health and Medical Research Council APP1140509National Health and Medical Research Council APP1143946National Health and Medical Research Council GNT1145303
6 · The paper itself

Abstract

Background: Methods: We used a systems serology approach with elastic net-regularized logistic regression, partial least squares discriminant analysis, and a case-control study design to identify naturally acquired antibody features mid-pregnancy that were associated with protection from placental malaria at delivery in a cohort of 77 pregnant women from Madang, Papua New Guinea. Results: The machine learning techniques selected 6 out of 169 measured antibody features towards VAR2CSA that could predict (with 86% accuracy) whether a woman would subsequently have active placental malaria infection at delivery. Selected features included previously described associations with inhibition of placental binding and/or opsonic phagocytosis of infected erythrocytes, and network analysis indicated that there are not one but multiple pathways to protection from placental malaria. Conclusions: We have identified candidate antibody features that could accurately identify malaria-infected women as protected from placental infection. It is likely that there are multiple pathways to protection against placental malaria. Funding: This study was supported by the National Health and Medical Research Council (Nos. APP1143946, GNT1145303, APP1092789, APP1140509, and APP1104975).

Indexed as

AdolescentAdultAntibodies, ProtozoanCase-Control StudiesFemaleHumansMalaria, FalciparumMiddle AgedMultivariate AnalysisPapua New GuineaPlacenta DiseasesPlasmodium falciparumPregnancyPregnant PeopleYoung AdultAntibodies, Protozoanfunctional antibodyhumanimmunityimmunologyinflammationplacentaPlasmodium falciparumpregnancyVAR2CSA

Identifiers

PMID34181872
PMCPMC8241440
OpenAlexW3175587120

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.