Ultra-sensitive RDT performance and antigen dynamics in a high-transmission Plasmodium falciparum setting in Mali.


Journal

Malaria journal
ISSN: 1475-2875
Titre abrégé: Malar J
Pays: England
ID NLM: 101139802

Informations de publication

Date de publication:
03 Sep 2020
Historique:
received: 02 06 2020
accepted: 25 08 2020
entrez: 5 9 2020
pubmed: 5 9 2020
medline: 7 4 2021
Statut: epublish

Résumé

The recent expansion of tools designed to accurately quantify malaria parasite-produced antigens has enabled us to evaluate the performance of rapid diagnostic tests (RDTs) as a function of the antigens they detect-typically histidine rich protein 2 (HRP2) or lactate dehydrogenase (LDH). For this analysis, whole blood specimens from a longitudinal study in Bancoumana, Mali were used to evaluate the performance of the ultra-sensitive HRP2-based Alere™ Malaria Ag P.f RDT (uRDT). The samples were collected as part of a transmission-blocking vaccine trial in a high transmission region for Plasmodium falciparum malaria. Furthermore, antigen dynamics after successful anti-malarial drug treatment were evaluated in these samples using the Q-Plex Human Malaria Array (4-Plex) to quantify antigen concentrations. The uRDT had a 50% probability of a positive result at 207 pg/mL HRP2 [95% credible interval (CrI) 160-268]. Individuals with symptomatic infection remained positive by uRDT for a median of 33 days [95% confidence interval (CI) 28-47] post anti-malarial drug treatment. Biphasic exponential decay models accurately captured the population level post-treatment dynamics of both HRP2 and Plasmodium LDH (pLDH), with the latter decaying more rapidly. Motivated by these differences in rates of decay, a novel algorithm that used HRP2:pLDH ratios to predict if an individual had active versus recently cleared P. falciparum infection was developed. The algorithm had 77.5% accuracy in correctly classifying antigen-positive individuals as those with and without active infection. These results characterize the performance of the ultra-sensitive RDT and demonstrate the potential for emerging antigen-quantifying technologies in the field of malaria diagnostics to be helpful tools in distinguishing between active versus recently cleared malaria infections.

Sections du résumé

BACKGROUND BACKGROUND
The recent expansion of tools designed to accurately quantify malaria parasite-produced antigens has enabled us to evaluate the performance of rapid diagnostic tests (RDTs) as a function of the antigens they detect-typically histidine rich protein 2 (HRP2) or lactate dehydrogenase (LDH).
METHODS METHODS
For this analysis, whole blood specimens from a longitudinal study in Bancoumana, Mali were used to evaluate the performance of the ultra-sensitive HRP2-based Alere™ Malaria Ag P.f RDT (uRDT). The samples were collected as part of a transmission-blocking vaccine trial in a high transmission region for Plasmodium falciparum malaria. Furthermore, antigen dynamics after successful anti-malarial drug treatment were evaluated in these samples using the Q-Plex Human Malaria Array (4-Plex) to quantify antigen concentrations.
RESULTS RESULTS
The uRDT had a 50% probability of a positive result at 207 pg/mL HRP2 [95% credible interval (CrI) 160-268]. Individuals with symptomatic infection remained positive by uRDT for a median of 33 days [95% confidence interval (CI) 28-47] post anti-malarial drug treatment. Biphasic exponential decay models accurately captured the population level post-treatment dynamics of both HRP2 and Plasmodium LDH (pLDH), with the latter decaying more rapidly. Motivated by these differences in rates of decay, a novel algorithm that used HRP2:pLDH ratios to predict if an individual had active versus recently cleared P. falciparum infection was developed. The algorithm had 77.5% accuracy in correctly classifying antigen-positive individuals as those with and without active infection.
CONCLUSIONS CONCLUSIONS
These results characterize the performance of the ultra-sensitive RDT and demonstrate the potential for emerging antigen-quantifying technologies in the field of malaria diagnostics to be helpful tools in distinguishing between active versus recently cleared malaria infections.

Identifiants

pubmed: 32883286
doi: 10.1186/s12936-020-03389-0
pii: 10.1186/s12936-020-03389-0
pmc: PMC7469912
doi:

Substances chimiques

Antigens, Protozoan 0
HRP-2 antigen, Plasmodium falciparum 0
Protozoan Proteins 0
L-Lactate Dehydrogenase EC 1.1.1.27

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

323

Subventions

Organisme : Bill and Melinda Gates Foundation
ID : OPP1053616
Organisme : Siemens Foundation
ID : OPP-00006234

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Auteurs

Emily N Reichert (EN)

Diagnostics Program, PATH, Seattle, WA, USA.

Jen C C Hume (JCC)

Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.

Issaka Sagara (I)

Malaria Research and Training Center, Mali-National Institute of Allergy and Infectious Diseases International Center for Excellence in Research, University of Science, Techniques and Technologies of Bamako, Bamako, Mali.

Sara A Healy (SA)

Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.

Mahamadoun H Assadou (MH)

Malaria Research and Training Center, Mali-National Institute of Allergy and Infectious Diseases International Center for Excellence in Research, University of Science, Techniques and Technologies of Bamako, Bamako, Mali.

Merepen A Guindo (MA)

Malaria Research and Training Center, Mali-National Institute of Allergy and Infectious Diseases International Center for Excellence in Research, University of Science, Techniques and Technologies of Bamako, Bamako, Mali.

Rebecca Barney (R)

Diagnostics Program, PATH, Seattle, WA, USA.

Andy Rashid (A)

Diagnostics Program, PATH, Seattle, WA, USA.

Ihn Kyung Yang (IK)

Diagnostics Program, PATH, Seattle, WA, USA.

Allison Golden (A)

Diagnostics Program, PATH, Seattle, WA, USA.

Gonzalo J Domingo (GJ)

Diagnostics Program, PATH, Seattle, WA, USA. gdomingo@path.org.

Patrick E Duffy (PE)

Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.

Hannah C Slater (HC)

Diagnostics Program, PATH, Seattle, WA, USA. hslater@path.org.

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Classifications MeSH