Ultra-sensitive RDT performance and antigen dynamics in a high-transmission Plasmodium falciparum setting in Mali.
Adult
Antigens, Protozoan
/ isolation & purification
Diagnostic Tests, Routine
/ statistics & numerical data
Humans
L-Lactate Dehydrogenase
/ isolation & purification
Malaria, Falciparum
/ diagnosis
Mali
Middle Aged
Plasmodium falciparum
/ isolation & purification
Protozoan Proteins
/ isolation & purification
Sensitivity and Specificity
Young Adult
Antigenemia
HRP2
Malaria
Ultra-sensitive RDT
pLDH
Journal
Malaria journal
ISSN: 1475-2875
Titre abrégé: Malar J
Pays: England
ID NLM: 101139802
Informations de publication
Date de publication:
03 Sep 2020
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
323Subventions
Organisme : Bill and Melinda Gates Foundation
ID : OPP1053616
Organisme : Siemens Foundation
ID : OPP-00006234
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