Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
High-throughput pooling and real-time PCR-based strategy for malaria detection
Journal of Clinical Microbiology, Volume 48, No. 2, Year 2010
Notification
URL copied to clipboard!
Description
Molecular assays can provide critical information for malaria diagnosis, speciation, and drug resistance, but their cost and resource requirements limit their application to clinical malaria studies. This study describes the application of a resource-conserving testing algorithm employing sample pooling for real-time PCR assays for malaria in a cohort of 182 pregnant women in Kinshasa. A total of 1,268 peripheral blood samples were collected during the study. Using a real-time PCR assay that detects all Plasmodium species, microscopy-positive samples were amplified individually; the microscopy-negative samples were amplified after pooling the genomic DNA (gDNA) of four samples prior to testing. Of 176 microscopy-positive samples, 74 were positive by the real-time PCR assay; the 1,092 microscopy-negative samples were initially amplified in 293 pools, and subsequently, 35 samples were real-time PCR positive (3%). With the real-time PCR result as the referent standard, microscopy was 67.9% sensitive (95% confidence interval [CI], 58.3% to 76.5%) and 91.2% specific (95% CI, 89.4% to 92.8%) for malaria. In total, we detected 109 parasitemias by real-time PCR and, by pooling samples, obviated over 50% of reactions and halved the cost of testing. Our study highlights both substantial discordance between malaria diagnostics and the utility and parsimony of employing a sample pooling strategy for molecular diagnostics in clinical and epidemiologic malaria studies. Copyright © 2010, American Society for Microbiology. All Rights Reserved.
Authors & Co-Authors
Taylor, Steve M.
United States, Chapel Hill
The University of North Carolina at Chapel Hill
United States, Durham
Duke University Medical Center
Juliano, Jonathan J.
United States, Chapel Hill
Unc School of Medicine
Trottman, Paul A.
United States, Chapel Hill
The University of North Carolina at Chapel Hill
Griffin, Jennifer B.
United States, Chapel Hill
The University of North Carolina at Chapel Hill
Landis, Sarah H.
United States, Chapel Hill
The University of North Carolina at Chapel Hill
United Kingdom, Brentford
Glaxosmithkline Plc.
Kitsa, Paluku
Democratic Republic Congo, Kinshasa
Universite de Kinshasa
Tshefu, Antoinette Kitoto
Democratic Republic Congo, Kinshasa
Universite de Kinshasa
Meshnick, Steven Richard
United States, Chapel Hill
The University of North Carolina at Chapel Hill
Statistics
Citations: 152
Authors: 8
Affiliations: 5
Identifiers
Doi:
10.1128/JCM.01800-09
ISSN:
00951137
Research Areas
Genetics And Genomics
Infectious Diseases
Study Design
Cohort Study
Participants Gender
Female