Evidence map›Paper›PMID 34556121›Full record

ArticleMalaria journal2021

Antibody signatures of asymptomatic Plasmodium falciparum malaria infections measured from dried blood spots.

Christine F Markwalter, Myat Htut Nyunt, Zay Yar Han, Ricardo Henao, Aarti Jain, Omid Taghavian, Philip L Felgner, Kay Thwe Han, Myaing M Nyunt, Christopher V Plowe

Abstract read
In one paragraph

Article in Malaria journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

10 authors.

Christine F MarkwalterDuke Global Health Institute, Duke University, Durham, NC, USA. christine.markwalter@duke.edu.ORCID http://orcid.org/0000-0002-5742-8847
Myat Htut NyuntDepartment of Medical Research, Myanmar Ministry of Health and Sports, Yangon, Myanmar.
Zay Yar HanDuke Global Health Institute, Duke University, Durham, NC, USA.
Ricardo HenaoDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Aarti JainVaccine Research & Development Center, School of Medicine, University of California Irvine, Irvine, CA, USA.
Omid TaghavianVaccine Research & Development Center, School of Medicine, University of California Irvine, Irvine, CA, USA.
Philip L FelgnerVaccine Research & Development Center, School of Medicine, University of California Irvine, Irvine, CA, USA.
Kay Thwe HanDepartment of Medical Research, Myanmar Ministry of Health and Sports, Yangon, Myanmar.
Myaing M NyuntUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Christopher V PloweUniversity of Maryland School of Medicine, Baltimore, MD, USA.

Funding

Satellite and geospatial dynamic modeling of malaria riskU19AI129386 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI LOBODA, TATIANA V · 2017 to 2020
$5.7M
Antibody biomarker discovery for current and recent asymptomatic malaria exposureF32AI149950 · NIAID · DUKE UNIVERSITY · PI MARKWALTER, CHRISTINE · 2021 to 2022
$142k
Bill and Melinda Gates Foundation OPP1109551Bill and Melinda Gates Foundation OPP1171753National Institute of Allergy and Infectious Diseases F32AI149950National Institute of Allergy and Infectious Diseases U19AI129386NIAID NIH HHS F32 AI149950NIAID NIH HHS U19 AI129386
6 · The paper itself

Abstract

backgroundScreening malaria-specific antibody responses on protein microarrays can help identify immune factors that mediate protection against malaria infection, disease, and transmission, as well as markers of past exposure to both malaria parasites and mosquito vectors. Most malaria protein microarray work has used serum as the sample matrix, requiring prompt laboratory processing and a continuous cold chain, thus limiting applications in remote locations. Dried blood spots (DBS) pose minimal biohazard, do not require immediate laboratory processing, and are stable at room temperature for transport, making them potentially superior alternatives to serum. The goals of this study were to assess the viability of DBS as a source for antibody profiling and to use DBS to identify serological signatures of low-density Plasmodium falciparum infections in malaria-endemic regions of Myanmar.

methodsMatched DBS and serum samples from a cross-sectional study in Ingapu Township, Myanmar were probed on protein microarrays populated with P. falciparum antigen fragments. Signal and trends in both sample matrices were compared. A case-control study was then performed using banked DBS samples from malaria-endemic regions of Myanmar, and a regularized logistic regression model was used to identify antibody signatures of ultrasensitive PCR-positive P. falciparum infections.

resultsApproximately 30% of serum IgG activity was recovered from DBS. Despite this loss of antibody activity, antigen and population trends were well-matched between the two sample matrices. Responses to 18 protein fragments were associated with the odds of asymptomatic P. falciparum infection, albeit with modest diagnostic characteristics (sensitivity 58%, specificity 85%, negative predictive value 88%, and positive predictive value 52%).

conclusionsMalaria-specific antibody responses can be reliably detected, quantified, and analysed from DBS, opening the door to serological studies in populations where serum collection, transport, and storage would otherwise be impossible. While test characteristics of antibody signatures were insufficient for individual diagnosis, serological testing may be useful for identifying exposure to asymptomatic, low-density malaria infections, particularly if sero-surveillance strategies target individuals with low previous exposure as sentinels for population exposure.

Indexed as

Asymptomatic InfectionsDried Blood Spot TestingAdolescentAdultAgedAged, 80 and overAntibodies, ProtozoanCase-Control StudiesChildChild, PreschoolCross-Sectional StudiesFemaleHumansMalaria, FalciparumMaleMiddle AgedAntibodies, ProtozoanAntibody responsesAsymptomatic malariaProtein microarraysSerology

Identifiers

PMID34556121
PMCPMC8461960

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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.