Development and validation of a high-throughput qPCR platform for the detection of soil-transmitted helminth infections
Abstract
Abstract Background Historically, soil-transmitted helminth (STH) control and prevention strategies have relied on mass drug administration efforts targeting preschool and school-aged children. While these efforts have succeeded in reducing morbidity associated with STH infection, recent modeling efforts have suggested that expanding intervention to treatment of the entire community could achieve transmission interruption in some settings. Testing the feasibility of such an approach requires large-scale clinical trials, such as the DeWorm3 cluster randomized trial. In addition, accurate interpretation of trial outcomes will require diagnostic platforms capable of accurately determining infection prevalence, particularly as infection intensity is reduced, at large population scale and with significant throughput. Here, we describe the development and validation of a multi-site, high-throughput molecular testing platform. Methodology/Principal Findings Through the development, selection, and validation of appropriate controls, we have successfully created and evaluated the performance of a testing platform capable of the semi-automated, high-throughput detection of four species of STH in human stool samples. Comparison of this platform with singleplex reference assays for the detection of these same pathogens has demonstrated comparable performance metrics across multiple testing locations, with index assay accuracy measuring at or above 99.5% and 98.1% for each target species at the level of the technical replicate and individual extraction respectively. Through the implementation of a rigorous validation program, we have developed a diagnostic platform capable of providing the necessary throughput and performance needed to meet the needs of the DeWorm3 cluster randomized trial and other large-scale operational research efforts for STH. Importance Current models predict that an expansion of intervention efforts to include community-wide treatment strategies could, in certain geographies, result in the elimination of soil-transmitted helminths as a public health problem. Large-scale operational research efforts to reduce the burden of STH such as the DeWorm3 cluster randomized trial have been organized to evaluate these predictions, but such evaluations require a high throughput testing strategy capable of providing sensitive, specific, and accurate results. To meet this need, we have developed a multiplexed diagnostic platform that was rigorously evaluated across multiple testing locations using a novel validation plan with pre-defined performance characteristics. Our successful validation of this platform has provided the community with a tool capable of meeting the diagnostic requirements of large-scale operational research efforts. Furthermore, this strategy provides a blueprint for the development of similar platforms adaptable for use with other neglected tropical disease programs evaluating other intervention strategies.
Authors 19
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Affiliation as printed
Department of Biological Sciences, Quinnipiac University, Hamden, CT, USA
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Affiliation as printed
DeWorm3 Project, Seattle, USA
Department of Global Health, University of Washington, Seattle, USA
DeWorm Project, Seattle, USA
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Affiliation as printed
Quantigen, Fishers, Indiana, USA
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Christian Medical College, Vellore
Affiliation as printed
The Wellcome Trust Research Laboratory, Division of Gastrointestinal Sciences, Christian Medical College, Vellore, India
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Affiliation as printed
DeWorm3 Project, Seattle, USA
Department of Global Health, University of Washington, Seattle, USA
DeWorm Project, Seattle, USA
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Affiliation as printed
Department of Life Sciences, Natural History Museum, London, UK
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Christian Medical College, Vellore
Affiliation as printed
The Wellcome Trust Research Laboratory, Division of Gastrointestinal Sciences, Christian Medical College, Vellore, India
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Leiden University Medical Center
Affiliation as printed
Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
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Elisabeth-TweeSteden Ziekenhuis
Affiliation as printed
Microvida, Laboratory for Medical Microbiology and Immunology, St. Elisabeth Ziekenhuis, Tilburg, The Netherlands
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Christian Medical College, Vellore
Affiliation as printed
The Wellcome Trust Research Laboratory, Division of Gastrointestinal Sciences, Christian Medical College, Vellore, India
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Affiliation as printed
Quantigen, Fishers, Indiana, USA
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Affiliation as printed
Department of Biological Sciences and Biochemistry, Smith College, Northampton, MA, USA
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Affiliation as printed
DeWorm3 Project, Seattle, USA
Department of Global Health, University of Washington, Seattle, USA
DeWorm Project, Seattle, USA
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Christian Medical College, Vellore
Affiliation as printed
The Wellcome Trust Research Laboratory, Division of Gastrointestinal Sciences, Christian Medical College, Vellore, India
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Université d'Abomey-Calavi · Institut de Recherche Clinique du Bénin
Affiliation as printed
Centre de Recherche pour la lutte contre les Maladies Infectieuses Tropicales (CReMIT/TIDRC), Université d’Abomey-Calavi, Abomey-Calavi, Bénin
Institut de Recherche Clinique du Bénin, Abomey-Calavi, Benin
Centre de Recherche pour la lutte contre les Maladies Infectieuses Tropicales (CReMIT/TIDRC), Université d'Abomey-Calavi, Abomey-Calavi, Bénin
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Affiliation as printed
Department of Biological Sciences and Biochemistry, Smith College, Northampton, MA, USA
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Affiliation as printed
Quantigen, Fishers, Indiana, USA
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Affiliation as printed
Quantigen, Fishers, Indiana, USA
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Judd L. Walson corresponding
Johns Hopkins University · University of Washington
Affiliation as printed
DeWorm3 Project, Seattle, USA
Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
Departments of Global Health, Medicine (Infectious Disease), Pediatrics and Epidemiology, University of Washington, Seattle, USA
DeWorm Project, Seattle, USA
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