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PLOS Neglected Tropical Diseases logoLink to PLOS Neglected Tropical Diseases
. 2025 Jan 10;19(1):e0012760. doi: 10.1371/journal.pntd.0012760

Development and validation of a high-throughput qPCR platform for the detection of soil-transmitted helminth infections

Nils Pilotte 1,*,#, Victor Omballa 2,3,4,#, Monica Voss 4, Leah Padgett 4, Malathi Manuel 5, Jeanne L Goodman 2,3, Tim Littlewood 6, Zayina Zondervenni Manoharan 5, Lisette van Lieshout 7, Jaco J Verweij 8, Manigandan Sekar 5, Ajith Kumar Muthukumar 5, Gretchen Walch 4, Abriana Warren 4, Mariyam Sheikh 2, Andrew Gonzalez 9, Sean R Galagan 2,3, Sitara Swarna Rao Ajjampur 5, Moudachirou Ibikounlé 10,11, Steven A Williams 9, Doug Rains 4, Ushashi Dadwal 4, Judd L Walson 3,12,13
Editor: Subash Babu14
PMCID: PMC11756772  PMID: 39792930

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 requires 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 such a 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, 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 required to meet the needs of the DeWorm3 cluster randomized trial and other large-scale operational research efforts for STH.

Conclusions/significance

Resulting from the rigorous developmental approach taken, the platform we describe here provides the needed confidence in testing outcomes when utilized in conjunction with large-scale efforts such as the DeWorm3 trial. Additionally, the successful development of an evaluation and validation strategy provides a template for the creation of similar diagnostic platforms for other neglected tropical diseases.

Author summary

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 (STH) 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 and rigorously evaluated a multiplexed diagnostic platform 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 for use as part of other neglected tropical disease programs evaluating other intervention strategies.

Introduction

Soil-transmitted helminths (STH) are a leading cause of human disease, infecting over 1.5 billion individuals worldwide, with the majority of infections occurring in low and middle-income countries [1,2]. Large-scale programs designed to control these infections have relied heavily on mass drug administration (MDA)-based deworming efforts, targeting populations at high risk of morbidity, namely preschool and school-aged children (PSAC and SAC) and women of reproductive age. Historically, these programs have utilized coproscopy-based techniques (such as the Kato-Katz method) to determine the prevalence and intensity of infection within a population, in turn informing decisions related to intervention frequency and duration [3]. This intervention and monitoring strategy has effectively reduced morbidity in multiple geographies [4]. However, such microscopy-based diagnostics are known to lack sensitivity. This shortcoming is particularly pronounced when infection intensities are low, as the sensitivity of detection may drop below 50% [3]. Additionally, with programmatic consideration being given to the possible transition from morbidity control strategies to strategies aimed at transmission interruption and/or the elimination of disease as a public health problem, diagnostics with high-throughput and improved performance characteristics are urgently needed. Although molecular assays such as quantitative polymerase chain reaction (qPCR) have been designed, tested, and used in research settings [3,4], the development and validation of a large-scale, high-throughput testing platform, exportable for use in multiple laboratories across both high- and low-infection intensity settings, has not been previously described.

The DeWorm3 project is a multi-country, community, cluster-randomized trial designed to determine the feasibility of successful transmission interruption of soil-transmitted helminth (STH) infections following sequential, high-coverage, community-wide mass-drug administration (cMDA) interventions [5]. This large-scale project includes study sites in Benin, India, and Malawi. As the primary discriminator of infection for this study, we developed and validated a large-scale, high-throughput, molecular testing platform for the detection of STH in human stool. In all three participating countries, a geographically defined administrative unit that included a population of approximately 80,000–140,000 individuals was censused and mapped. Each study site was divided into 40 clusters, which were randomized (1:1) to receive either the intervention (biannual cMDA with albendazole) or control treatment (standard of care MDA delivered to PSAC & SAC annually) for three years [5]. In total, approximately 300,000 stool samples were collected during the five-year study period.

To meet the testing needs of the DeWorm3 project, and to provide a diagnostic design strategy for future studies and for potential future programmatic use, we developed a high-throughput, molecular testing platform for the detection of Ascaris lumbricoides, Necator americanus, Ancylostoma duodenale, and Trichuris trichiura. This platform (hereafter referred to as the DeWorm3 assays) was tested using a novel approach to assay validation in the absence of both standardized STH control materials and an accurate diagnostic “gold standard”. To ensure the integrity of our approach, this a priori validation plan was developed in consultation with an external panel of independent evaluators. The high-throughput testing approach was standardized and validated at laboratories in the United States (Quantigen, Fishers, IN) and India (Christian Medical College, Vellore), through the incorporation of rigorous pre-validation steps (run controls) and quality control (QC) measures. Here we describe the validation and quality assurance processes used to evaluate the DeWorm3 assays. This detailed description of our validation methods demonstrates the robust approach used to test the DeWorm3 trial samples and provides a framework for the deployment of this or other similar large-scale, community-level testing platforms in the future.

Methods

All experiments performed in the validation of this high-throughput molecular system utilized the standard set of extraction and qPCR methods described below. The full report of the validation plan is available in the supplementary materials (S1 Appendix).

Ethics statement

The DeWorm3 Project has been reviewed and approved by the Institut de Recherche Clinique au Bénin (IRCB) through the National Ethics Committee for Health Research (002-2017/CNERS-MS) from the Ministry of Health in Benin, The London School of Hygiene and Tropical Medicine (12013), The College of Medicine Research Ethics Committee (P.04/17/2161) in Malawi and the Christian Medical College Institutional Review Board in Vellore, India (10392). The study was also approved by The Human Subjects Division at the University of Washington (STUDY00000180).

Sample disruption and nucleic acid isolation

Isolation of DNA from STH eggs requires both physical disruption and chemical digestion. DNA extraction from T. trichiura eggs is particularly challenging due to their multi-layer structure: an outer vitelline layer, a middle chitinous layer that resists physical disruption, and an inner lipid layer that provides resistance to chemical breakdown [6]. Attempting to overcome these challenges, we optimized a previously described bead-beating protocol to disrupt eggs within stool samples using a 96-well plate shaking system (OMNI International, Kennesaw, GA) [7,8]. After disruption, we isolated DNA using the semi-automated KingFisher Flex 96-well sample extractor (ThermoFisher Scientific, Waltham, MA) with the MagMAX Microbiome Ultra Nucleic Acid Isolation Kit following the manufacturer’s suggested protocol (ThermoFisher Scientific) (Fig 1) with a single modification. Namely, MVP II Binding Beads (ThermoFisher Scientific) were used in place of those included with the MagMAX kit.

Fig 1. Procedure for isolation of DNA from stool samples.

Fig 1

After sample collection, isolation of DNA occurred in three steps. (A) Samples were washed, to remove the ethanol used for storage and preservation. (B) Samples were scooped into OMNI 96-well 1.4 mm ceramic bead-beating plates. (C) Following overnight incubation, DNA extraction was performed.

Multiplexing of qPCR assays

Four previously developed primer/probe-based assays, each targeting a highly repetitive genomic element unique to a single STH species, were utilized in the development of our index assays [8,9]. Based on initial oligo optimization experiments, we selected primer and probe concentrations that yielded comparable CT and ΔRn values between singleplex and multiplex formats when used on contrived mixed-infection controls (Table 1). Hydrolysis probes for each assay were labeled with either 6-FAM or Yakima Yellow reporters (IDT, Coralville, IA) and were double-quenched with ZEN-IABkFQ chemistries (IDT). These fluorophore-quencher pairings were chosen due to the reduced background fluorescence and improved sensitivity that they offer relative to single-quenched probes [8]. Assays were then duplexed by pairing the N. americanus assay with the T. trichiura assay, and the A. lumbricoides assay with the A. duodenale assay. These pairings were chosen as N. americanus and A. lumbricoides were expected to represent the most common sources of infection across DeWorm3 study sites. For this reason, it was decided that they should be separate, such that the likelihood of competition for reagents within a single qPCR reaction well would be reduced. Duplexed assays were then tested against a characterized panel of DNA samples previously extracted from stool collected in India. Results were compared to singleplex results obtained for the same samples (S1 Table). Through the process of duplexing, a single sample could be tested for the presence of all four STH targets in only two qPCR wells. To each of the two STH-specific duplexed assays, we added a third, primer-limited (50 nM each) ABY-labeled primer/probe-based assay designed to amplify an exogenous extraction/qPCR internal positive control (IPC): Bacillus atrophaeus bacteria (ZeptoMetrix, Buffalo, NY) [10]. The selection of this control is discussed in detail below. Details for all primers and probes used in the DeWorm3 assays are listed in Table 1.

Table 1. Primers and probes used in DeWorm3 assays.

Species Primer/Probe (Conc) Sequence (5’– 3’) Reference
Ascaris lumbricoides Fwd (65 nM) 5’—CTTGTACCACGATAAAGGGCAT—3’ [9]
Rev (65 nM) 5’—TCCCTTCCAATTGATCATCGAATAA—3’
Probe (250 nM) 5’—/5YakYel/TCTGTGCAT/ZEN/TATTGCTGCAATTGGGA /3IABkFQ/—3’
Trichuris trichiura Fwd (65 nM) 5’—GGCGTAGAGGAGCGATTT—3’ [8]
Rev (250 nM) 5’—TACTACCCATCACACATTAGCC—3’
Probe (250 nM) 5’—/5YakYel/TTTGCGGGC/ZEN/GAGAACGGAAATATT
/3IABkFQ/—3’
Ancylostoma duodenale Fwd (250 nM) 5’—GTATTTCACTCATATGATCGAGTGTTC—3’ [8]
Rev (250 nM) 5’—GTTTGAATTTGAGGTATTTCGACCA—3’
Probe (250 nM) 5’—/56-FAM/TGACAGTGT/ZEN/GTCATACTGTGGAAA /3IABkFQ/—3’
Necator americanus Fwd (250 nM) 5’—CCAGAATCGCCACAAATTGTAT—3’ [8]
Rev (250 nM) 5’—GGGTTTGAGGCTTATCATAAAGAA—3’
Probe (250 nM) 5’—/56-FAM/CCCGATTTG/ZEN/AGCTGAATTGTCAAA
/3IABkFQ/—3’
Bacillus atrophaeus Custom Assay (ThermoFisher Scientific)
(Catalog # APGZFA7 –Ba06596576_s15)
[10]

Selection of qPCR reagents and lyophilization

Sample-derived qPCR inhibitors can limit amplification of target STH gDNA [11]. To evaluate master mix performance and select an appropriate chemistry, naïve stool samples, collected in Benin, were spiked with STH gDNA to generate qPCR sensitivity and amplification curves. Various commercially available master mixes were tested on the QuantStudio 7 Real-Time PCR System (Life Technologies, Carlsbad, CA) at Quantigen. All tested mixes were obtained from ThermoFisher Scientific and included TaqMan Environmental Master Mix 2.0, Ambion Path-ID qPCR Master Mix, and TaqPath 1-Step RT-qPCR Master Mix, CG. As our goal was to lyophilize all qPCR reagents–master mix and assays–to ensure reagent stability during international shipment and subsequent storage, and to improve workflow efficiency and accuracy in the laboratory through the reduction of pipetting steps, ThermoFisher customized a comparable formulation of the TaqPath 1-Step RT-qPCR Master Mix, CG (without the reverse transcriptase) as a TaqMan 5X Lyo-ready qPCR Master Mix with ROX and excipient. Testing identified no significant differences in detection sensitivity as a function of master mix tested across target species (S2 Table). Argonaut Manufacturing Services (Carlsbad, CA) produced 384-well custom-designed lyophilized qPCR plates (lyo-plates) in bulk. Following batch testing at Quantigen, these plates were disseminated to all testing laboratories for use with all DeWorm3 sample testing. Subsequently, a second batch of plates was required, which was produced and tested in an identical manner.

Assay validation

Control selection and validation

Assay validation first requires control validation. Accordingly, appropriate controls were identified and selected for use with our high throughput testing platform. Following selection, control validation focused on the performance of positive extraction controls (using both external and internal targets), and of appropriate qPCR controls.

An optimal external extraction control should reflect the performance characteristics and specific challenges of the real-world samples and targets being studied. Ascaris suum was selected as our platform’s external extraction control, as it closely mirrors (or based on the definition of species utilized for classification, arguably is) one of the target organisms (Ascaris lumbricoides) and is commercially available (Excelsior Sentinel, Inc., Ithica, NY). Ascaris lumbricoides and Ascaris suum are genetically similar, with a growing body of evidence suggesting that they may represent variants of the same species rather than unique species [12]. Furthermore, the previously described assay target used in the DeWorm3 assay has been shown to be equally represented in the genomes of both A. suum and A. lumbricoides [13,14]. For these reasons, batches of A. suum control aliquots were prepared by adding approximately 35,000 eggs to 6 g of commercially purchased STH-negative stool (BioIVT, Westbury, NY). These batches were combined with 21 mL of molecular grade ethanol and were thoroughly mixed using a handheld immersion homogenizer (OMNI International, Kennesaw, GA). Homogenization yielded an egg concentration of approximately 1.7 eggs/μL. From this initial batch, 25 A. suum controls were randomly selected, extracted (as described previously [15]), and tested in duplicate using qPCR to determine the expected CT range (S3 Table). Based on these results, passing qualifications for validation of the A. suum control were defined as positive A. suum amplification with a CT value of ≤ 23, a value approximating the upper bound of those seen during this initial testing.

Arguably, the most critical control is the internal positive control (IPC). When properly selected, this control serves as a per-sample extraction, recovery, and amplification control. For use with our testing platform, commercially available Bacillus atrophaeus was selected as the IPC. B. atrophaeus is a spore forming bacteria whose structure provides some resistance to lysis [16], making it an appropriate choice for use with STH eggs whose lysis requires mechanical disruption and chemical digestion. This bacterium is well-validated as a control for DNA extraction [10]. Given these characteristics, B. atrophaeus was commercially purchased (ZeptoMetrix, Buffalo, NY) for use with our platform [16]. Bacterial spores were spiked into 200 naïve stool samples, and the B. atrophaeus IPC was validated using both the first DeWorm3 Assay (targeting B. atrophaeus, N. americanus, and T. trichiura) and the second DeWorm3 assay (targeting B. atrophaeus, A. lumbricoides, and A. duodenale). Passing qualifications for validation of this control were defined as positive B. atrophaeus amplification with a CT score ≤ 34 in both the first and second assays in the absence of STH amplification.

Plasmid DNA was used as a positive PCR control to ensure reagent integrity and to act as a qPCR process control. Stocks of four plasmids, each containing a single copy of the target sequence for one of the four pathogens of interest, were prepared as previously described [9]. Plasmids were then combined into a single pool and diluted for testing at two masses (2 pg and 200 fg). Twenty-five replicates of each dilution were then tested using the DeWorm3 assays to verify that all plasmid targets performed consistently and allowed for predictable and reproducible amplification within an expected CT value range (S4 Table). Passing qualifications for validation of this control were defined as < 2 standard deviations from the validation-defined mean CT for each assay run with 100 fg of template. Thus, the CT score cut-off for each species were determined as follows: N. americanus ≤ 25.2, A. lumbricoides ≤ 23.4, A. duodenale ≤ 23.5, and T. trichiura ≤ 21.95.

Preparation of spiked-stool standards

A panel of controls comprised of twenty STH-positive and five STH-negative standards was prepared at Smith College (Northampton, MA). Standards were created by spiking helminth-naïve stool with samples of known STH infection status for each species of STH. To create each standard, 500 mg aliquots of STH-containing stool, previously characterized in an unrelated study by a combination of Kato-Katz microscopy and singleplex qPCR [3], were inoculated into separate 6-gram aliquots of commercially available, STH-negative bulk stool (BioIVT). Each spiked stool sample was then suspended in 21 mL of molecular grade ethanol and thoroughly mixed using a hand-held homogenizer to increase the uniformity of egg distribution. For each standard, 75 aliquots averaging 85 mg of stool homogenate in 300 μL of ethanol were generated. Randomly selected aliquots of each standard were tested at Smith College using the reference singleplex qPCR assays to ensure the expected presence/absence of each target in each tested aliquot.

Characterization of spiked-stool standards

Three blinded aliquots of each standard (~85 mg per aliquot) were extracted and qPCR tested in quadruplicate at Quantigen using the multiplexed DeWorm3 assays (25 standards x 3 aliquots x 4 technical replicates). An individual test result was considered positive if amplification occurred with a CT value < 40, while a test was considered negative if amplification did not occur. Following testing, results generated at Quantigen were compared with results generated at Smith College using the singleplex reference assays [8,9]. This comparison was performed to ensure that all standards were of sufficient quality to allow for consistent performance. With two exceptions (samples 15 and 18), samples producing discordant results either (1) across technical replicates tested by the DeWorm3 assays at Quantigen and/or (2) between aliquots tested by the multiplexed DeWorm3 assays and the original singleplex reference assays, were eliminated. Samples 15 and 18 were retained despite inconsistent detection of A. lumbricoides and N. americanus due to their consistent performance when tested with the T. trichiura assay and the desire to retain T. trichiura containing standards. Elimination of poorly performing samples resulted in a panel of 18 standards used in all further testing/validation (Table 2).

Table 2. Infection characteristics for spiked stool standards.
Standard # STH Status
T. trichiura A. lumbricoides N. americanus A. duodenale
1 X X
2 X
3 X
4 X
5 X
6 X X
7 X
8 X X X
9
10
11
12
13
14 X X X
15 X (X) X
16 X X X
17 X X X
18 X X (X)

(X) indicates the presence of trace amounts of target that were inconsistently identified. For these targets within these samples, either a “positive” or a “negative” result was accepted as target concentrations fall at/near the limit of detection of the assay and therefore do not allow for consistently reproducible results.

Evaluation of assay accuracy

Assay accuracy was evaluated on the technical replicate level and the aliquot level using the above-described panel of contrived standards. Accuracy was calculated using the sum of true positives and true negatives as the numerator, and the total number of samples tested as the denominator (Equation 1). Three blinded aliquots (~85 mg) of each of the 18 contrived standards were extracted and qPCR-tested in quadruplicate using the DeWorm3 assays (18 standards x 3 aliquots x 4 technical replicates). The true positive or negative status of each standard was defined by the initial characterization performed at Smith College using the singleplex reference assays (see “Preparation of spiked-stool standards” above). Evaluation of STH positivity at the aliquot level was defined as at least one positive amplification out of all technical replicates tested by the DeWorm3 assay. Well failures were not included in calculations of assay accuracy.

Equation 1. Accuracy calculations of index assay performance when testing spiked-stool standards.

Accuracy=TruePositives+TrueNegativesTruePositives+TrueNegatives+FalsePositives+FalseNegatives

Evaluation of assay specificity

Assay specificity was assessed using 413 stool samples from Benin (213) and India (200) which initially tested negative for all species using the DeWorm3 extraction and assay platforms. A second aliquot of each of these stool samples was subsequently retested utilizing the manual extraction procedure and the singleplex reference assays. Specificity was calculated through comparison of these results.

Evaluation of assay limits of detection

A subset comprised of four spiked-stool standards was used to determine the limits of detection (LOD) for the DeWorm3 assays. LOD testing was possible, as matched microscopy data (Kato-Katz) were available for the field samples used in contrived sample creation. Using this information, the concentration of eggs per gram (EPG) of stool in the selected spiked stool standards could be estimated (Table 3). Extracted DNA for each standard was serially diluted 1:10 to create six dilution points. Each dilution point was tested by both DeWorm3 assays in 10 technical replicates (4 standards x 6 dilution points x 10 replicates), and the lowest concentration in which all 10 replicates generated a positive signal was identified. Starting at a concentration two-fold higher than this concentration, five 1:2 serial dilutions were created, and 20 technical replicates of each dilution point were tested by qPCR (4 standards x 5 dilution points x 20 replicates). The LOD was determined as the lowest concentration at which at least 19/20 technical replicates amplified for the target STH species using Equation 2 below (S5 Table).

Table 3. Characteristics of contrived standards used for limit of detection testing.
Target Concentration of positive field sample (EPG) Mass of field sample (mg) Mass of naïve stool (mg) Total mass of contrived sample (g) Concentration of contrived sample (EPG)
N. americanus 960 500 6052 6.552 73.26
A. lumbricoides 2100 500 6052 6.552 160.26
A. duodenale 500* 500 6357 6.357 78.65
T. trichiura 4224 500 6045 6.545 322.69

* A. duodenale-containing field samples were not available. Therefore, whole-genome amplified A. duodenale DNA was spiked at a concentration mimicking the DNA content of eggs at a 500 epg concentration.

Equation 2. Calculation of index assay limit of detection as determined by the testing of DNA extracts isolated from contrived stool standards.

STHeggs1gofStandard×50mgaliquot×qPCRdilutionlimit=LOD

Assessment of sample heterogeneity

Sample heterogeneity was explored by selecting a random 10% of the first 2,000 baseline samples from Benin that were collected as part of the DeWorm3 trail. Four aliquots of each of these samples were extracted and tested. To test for site-dependent extraction differences, for each sample, two extractions were completed using the DeWorm3 assay’s semi-automated extraction protocol at Quantigen and two independent extractions were completed via the reference assay’s manual extraction protocol at Smith College. Each extraction product, regardless of location of origin, was then tested using both the DeWorm3 assays (at Quantigen) and the singleplex reference assays (at Smith College). Testing generated two data points per extraction and a total of eight data points for each sample (Fig 2).

Fig 2. Assessment of sample heterogeneity.

Fig 2

Illustration depicting how each sample used in the assessment of sample heterogeneity generated eight points of data. Blue fills indicate samples subjected to reference protocols (manual extraction and singleplex qPCR) and green fills indicate samples subjected to DeWorm3 protocols (semi-automated extraction and multiplex qPCR).

Results

Control selection and validation

All run controls (internal and external extraction controls as well as qPCR controls) passed the predefined thresholds for validation. Passing qualifications to validate the performance of the A. suum external extraction control were defined as positive A. suum amplification with a CT value of ≤ 23. The coefficient of variation (CV) for the A. suum positive extraction control was 4% (n = 50) with an average CT of 21.14 (±0.85) (Fig 3A). Validation testing for the performance of the B. atrophaeus IPC resulted in a CV of 7% with an average CT value of 29.96 (±2.02) for the first DeWorm3 assay (B. atrophaeus, N. americanus, and T. trichiura) and an average CT value of 30.00 (±2.00) for the second DeWorm3 assay (B. atrophaeus, A. lumbricoides, and A. duodenale) (Fig 3B), meeting the minimum requirements for validation. All qPCR positive controls also passed the predefined validation threshold, with CT values falling below required values for all target species in all replicate reactions (Appendix A1 to A3 in S1 Appendix).

Fig 3. Results of control validation.

Fig 3

(A) Box plot depicting the range of CT values for A. suum detection. (B) Box plots depicting CT values for all B. atrophaeus results obtained when running both DeWorm3 assays on a panel of STH-negative, B. atrophaeus-positive samples.

Evaluation of assay accuracy

Extraction and testing of three independent aliquots of all contrived spiked-stool standards resulted in positive detection for each expected species in at least three out of the four qPCR replicates. In total, <1% of all qPCR wells failed to amplify as expected (Table 4). Assay accuracy at the technical replicate level met the minimum target with >99% accuracy for all assays. The A. lumbricoides, N. americanus, and A. duodenale assays met the minimum standard of 100% accuracy at the individual extraction level. However, one T. trichiura false positive result was seen among the 12 technical replicates tested, producing an individual extraction level accuracy for T. trichiura of 98.1% (Table 4, S1 Text, Appendix A4 in S1 Appendix).

Table 4. DeWorm3 assay accuracy at the individual extraction and technical replicate levels.

Assay Accuracy
Level T. trichiura A. lumbricoides N. americanus A. duodenale
Technical Replicate 99.5% 100.0% 100.0% 100.0%
Individual Extraction 98.1% 100.0% 100.0% 100.0%

Upon quadruplicate repeat testing at Quantigen, using both the DeWorm3 multiplex assays and the reference singleplex assays (n = 8), the one false positive T. trichiura amplification event could not be reproduced. None of the STH-negative stool standards (n = 5) produced a positive result for any erroneous/unexpected target.

Evaluation of assay specificity

Assay specificity was evaluated by retesting, using the manual extraction procedure and singleplex reference assays, 413 stool samples that initially tested negative for all STH species at Quantigen using the DeWorm3 semi-automated extraction procedure and multiplex assays. Manual extraction and singleplex assay testing of 213 samples from Benin produced three positive results (two N. americanus positive results and one A. lumbricoides positive result). Of note, these three positive results occurred in three independent samples. To evaluate these discordant results, and to investigate the aliquot-to-aliquot variability of the responsible stool samples, three new aliquots of each discordant sample (3 samples x 3 aliquots) were re-extracted using the DeWorm3 assay extraction procedure and tested using the liquid versions of the DeWorm3 assays in single qPCR replicates. All previously detected species were detected in the DNA extracts from at least two out of three stool aliquots.

Manual extraction and singleplex reference assay testing of 200 samples from India having previously tested negative for all STH species of interest during Quantigen’s initial screening efforts produced five N. americanus positive results. To investigate aliquot-to-aliquot variability, additional aliquots of the five discordant stool samples were re-extracted. Three of the five samples were re-extracted in duplicate, and two samples underwent re-extraction of a single aliquot due to limitations in sample volume. All eight re-extraction products ([3 samples x 2 extractions] + [2 samples x 1 extraction]) were tested using the lyophilized DeWorm3 assays in duplicate, and all samples confirmed the detection of N. americanus in at least one retested extract. While experimental results produced a specificity of 98% (results agreement from 405 of 413 samples), the follow-on testing described here supports stool sample heterogeneity as an underlying cause (Appendix A5 in S1 Appendix).

Evaluation of assay limits of detection

Through the testing of a dilution series of characterized samples, the lowest concentration at which at least 19/20 technical replicates amplified for each target STH species was identified. These concentrations were then used to calculate LODs, and the LOD for each assay was determined to be <1 EPG (Table 5 and Appendix A6 in S1 Appendix).

Table 5. By-species results of limit of detection testing.

Species Eggs Per Gram
N. americanus 1.83 x 10−3
A. lumbricoides 0.02
A. duodenale 0.98
T. trichiura 0.04

Assessment of sample heterogeneity

To determine the potential impact of aliquot heterogeneity on the detection of target species from a single sample, 200 randomly selected samples (10%), from among the first 2,000 samples tested in Benin (as part of DeWorm3 baseline testing), were subjected to further testing. Four aliquots were taken from each of these 200 samples and DNA was independently extracted from each aliquot. Two extractions occurred using the previously described reference extraction procedures [15] and two extractions occurring using DeWorm3 procedures. Follow-up qPCR analysis then occurred on each extraction product using both the DeWorm3 and singleplex reference assays. Minimal discordance was observed in three of the four target species; 8/200 N. americanus results discordant, 3/200 T. trichiura results discordant, and 10/200 A. lumbricoides results discordant. All testing for A. duodenale was concordant negative. The rate of discordance was similar across laboratories, assay methodologies, and extraction techniques (S6 Table). Across samples, extracts one, three, and four each detected STH species in 36/200 DNA products while extract two detected STH species in 43/200 DNA products. To further assess the comparative performance of the singleplex reference assays and the DeWorm3 assays, concordance of STH detection was calculated across all extracts and assays. Overall concordance for each species was as follows: N. americanus– 98.5% concordant, T. trichiura– 100% concordant, A. duodenale– 100% concordant, and A. lumbricoides– 98.1% concordant.

Discussion

Accurate estimates of helminth prevalence are critical to inform policy and programmatic decision making. Multiple studies have demonstrated that molecular assays are superior for the detection of infection and the quantification of prevalence and intensity across geographic settings and epidemiologic contexts [17]. As the prevalence and intensity of STH infections declines globally, programs are beginning to gauge potential for the regional elimination of STH as a public health problem, or for the interruption of disease transmission in certain geographic areas. With this shift, improved sensitivity and accuracy of molecular assays become critical for programs to achieve and confirm success. Unfortunately, platforms for the use of molecular diagnostics for STH at scale have not been previously developed or commercialized and these assays have largely been confined to research use. The small-scale use of these assays has meant that there has been little efficiency of scale, allowing costs to remain high and methods, operating procedures, and QA/QC methodologies to remain unstandardized.

Here we describe a well-validated, standardized, and scalable high-throughput platform for qPCR-based detection of STH at the population level. Importantly, validation practices for an assay designed for the diagnostic testing of an individual patient are fundamentally different from an assay designed strictly for the assessment of population-level infection prevalence and/or intensity for purposes of informing programmatic decision making. It is therefore critical that an assay be evaluated in the context of its expected utility. Accordingly, appropriate criteria for diagnostic platform validation were defined a priori. The results of this validation study demonstrate reliable, reproducible, and accurate detection of STH targets with high sensitivity and specificity.

The poor diagnostic performance of existing, commonly employed, coproscopic techniques limits the ability to define a true gold standard for detection of STH. Given that properly designed molecular assays are significantly more sensitive and specific than microscopy-based methods, both reference and index assays employed in this validation study would be expected to detect more true infections than would microscopy-based approaches. As a result, validation requires testing against a contrived panel, created by the spiking of an appropriate, naïve matrix material with various combinations/concentrations of target material (eggs, DNA, etc.). Through the creation and testing of 18 such samples, each containing combinations of none/some/all of the targets of interest at various concentrations, we were able to validate the performance of our index assays (DeWorm3 assays) relative to the corresponding reference assays (Smith College assays), and to assess transferability of technology through assay use at an overseas laboratory. In addition, owing to their well-characterized nature, these samples were also used to create a bank of material appropriate for troubleshooting, technician qualification, and periodic proficiency testing. Coupled with additional controls including a B. atrophaeus IPC, an A. suum-containing external extraction control, and appropriate PCR controls, we were able to overcome the challenges associated with a lack of properly characterized control material in the absence of a true gold standard.

The approach to assay development, validation, and verification described here has several strengths. The DeWorm3 platform was designed for use with samples collected as part of a rigorous, large-scale clinical trial (the DeWorm3 cluster randomized trial) conducted across multiple geographic and epidemiologic settings and involving hundreds of thousands of individuals. Given this intended use case, the a priori establishment of a validation protocol and the inclusion of a group of external evaluators increases the rigor of the assessment, which is critical for inspiring confidence in study results. In addition, the demonstration of exportability and reproducibility across laboratories suggests that this assay can be successfully transferred while maintaining diagnostic performance. This is critical in results interpretation for multi-site studies at scale and for future potential programmatic use. Finally, the creation of standard operating procedures, training documents, data collection instruments, and QA/QC procedures and panels can be used to support the establishment of large-scale laboratory platforms capable of supporting STH programs globally. These procedures and materials complement currently available resources, such as the STH community’s external quality assessment scheme, which is a valuable tool for validating and assessing the periodic performance of laboratories but does not support the frequency of quality assurance testing required by an effort such as the DeWorm3 trial [18].

While the development and validation pipelines that we employed allowed us to create a testing platform that is well-suited to its intended task, some limitations remain. Most critically, assessment of sample heterogeneity revealed some discrepancies in detection of targets across aliquots created from individual samples. These discrepancies were likely the result of the heterogenous distribution of target material within each sample, despite efforts to optimize homogenization procedures prior to DNA extraction. The inability to generate completely homogeneous samples means that the potential for some number of false negative results remains. Additional work will determine the frequency of false negativity, the likelihood of obtaining a false negative result as a function of target mass/copy number in a sample, and the ability to buffer against false negative results through procedural modifications (replicate testing, etc.).

While the imperfect nature of sample homogenization may result in a limited number of false negative outcomes, these same challenges may also allow false positive results to occur. This happens when samples previously characterized as negative for a given pathogen contain trace amounts of target sequence that lead to the very sporadic detection of a positive result. It is possible that sporadic positivity due to the trace presence of target was the cause of the one “false positive” T. trichiura result seen during the evaluation of assay accuracy. However, when such sporadic positivity does occur, other causes, such as sample contamination cannot be ruled out, thus leading to a “false positive” classification.

In addition to the procedural limitations discussed above, assay platform limitations also exist. Notably, our assay platform involved an element of inefficiency in DNA recovery because of imperfect methods for DNA extraction from fecal samples. Coupling these imperfect methods with single replicate testing of study samples may increase the incidence of false negative results. Furthermore, it is important to recognize that the platform described in this paper is unlikely to be suitable for use in all settings. As equipment costs and requirements are considerable, and reagent availability presents significant challenges, the intended use of this platform is to facilitate testing at the level of the “center”, making high-throughput molecular analysis available to programs that may otherwise be fully reliant upon coproscopic techniques for at-scale testing. Admittedly, the establishment of such testing capabilities requires considerable work and resources and is the underlying reason why the platform was only fully established at Quantigen and the India DeWorm3 site, with partial establishment in Benin, and no establishment in Malawi. While the rigor of the validation testing undertaken using contrived and characterized samples likely rendered it unnecessary, our failure to include a blinded analysis of a large panel of field-collected samples characterized by both reference assay testing and microscopy-based analysis could also be seen as a procedural shortcoming.

In addition to its intended purpose as a validation procedure for a high-throughput molecular testing platform for large-scale population-level studies of STH prevalence, the methodologies described here have utility beyond their primary use case. Through the adaptation of the described procedures, we have provided a blueprint for platform development capable of aiding programmatic efforts to evaluate other pathogens of interest. Global programs aimed at control/elimination of numerous neglected tropical diseases (NTD)s continue to realize varying degrees of success. This has resulted in an increased need for sensitive and specific tools capable of accurately assessing infection prevalence at scale [19]. As NTD programs pivot towards elimination of disease as a public health problem and, in some cases, to elimination of transmission, such tools are needed to inform intervention stopping decisions and to monitor for disease recrudescence in the post-intervention setting. As such, guidelines facilitating the development of platforms capable of providing these answers, in the absence of reliable gold-standard methods, will be critical.

The success of current STH programs has led to substantial reductions in infection prevalence in target populations, primarily among children, and to a lesser extent, among women of reproductive age. Novel diagnostics are needed to accurately monitor the progress of STH programs given the limitations of existing tools. The platform described here is a well validated real-time PCR-based approach that could be readily scaled for broad programmatic use in support of global morbidity management and STH transmission interruption efforts.

Supporting information

S1 Appendix. DeWorm3 Assay Validation Report.

The complete report of all activities performed as part of the DeWorm3 assay validation process. This report summarizes and collates the underlying data generated in support of this manuscript.

(PDF)

pntd.0012760.s001.pdf (4.8MB, pdf)
S1 Table. Comparison of Multiplexed and Singleplex Assays Using DNA Extracts from Stool Samples Collected in India.

Thirty-one samples were tested using both multiplex (DeWorm3) and singleplex reference assays. Comparative results are presented.

(XLSX)

pntd.0012760.s002.xlsx (13KB, xlsx)
S2 Table. Master Mix Comparison across Target Species.

Three candidate master mixes were compared to determine their relative performance. The ability of each master mix to amplify all four target species was evaluated.

(XLSX)

pntd.0012760.s003.xlsx (19.1KB, xlsx)
S3 Table. Determination of A. suum Cut-off Value.

Twenty-five samples, each spiked with an equal concentration of A. suum eggs were assayed in order to determine an appropriate cut-off value for use with this external extraction control.

(XLSX)

pntd.0012760.s004.xlsx (23.8KB, xlsx)
S4 Table. Validation of Plasmid Controls.

Multiple replicates of reactions containing plasmid controls were performed in order to determine the expected amplification profile for each control stock.

(XLSX)

pntd.0012760.s005.xlsx (12.3KB, xlsx)
S5 Table. Titrations of Contrived Samples to Determine Limits of Detection for Each Assay/Target.

Samples were diluted in order to determine the minimal masses required to support amplification. These masses were reported as each assay’s limit of detection.

(XLSX)

pntd.0012760.s006.xlsx (21KB, xlsx)
S6 Table. Sample Heterogeneity Testing.

To examine how sample heterogeneity impacts detection, a panel of 200 samples was tested for each target species using both DeWorm3 extraction and assay conditions as well as reference singleplex extraction and assay conditions.

(XLSX)

pntd.0012760.s007.xlsx (47.3KB, xlsx)
S1 Text. Assay Accuracy at the Technical Replicate and Individual Extraction Level.

Performance metrics were determined using contrived samples containing various combinations of target species.

(DOCX)

pntd.0012760.s008.docx (96.7KB, docx)

Acknowledgments

The authors wish to thank all the study participants, communities and community leaders, national NTD program staff and other local, regional and national partners who have participated or supported the DeWorm3 study. We would like to acknowledge the work of all members of the DeWorm3 study teams and affiliated institutions, in particular the laboratory staff at Christian Medical College, Vellore, Versiti Inc, and the Institut de recherche Clinique du Benin (IRCB). We also wish to acknowledge the contributions of the DeWorm3 Data Safety Monitoring Board, including Richard Hayes, Harriet Mpairwe, Purushothaman Jambulingam and Jimmy Whitworth.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

This work was supported by a Bill and Melinda Gates Foundation (gatesfoundation.org) investment to the University of Washington (OPP1129535, to JLW). A prior award to the Natural History Museum, London, also from the Bill and Melinda Gates Foundation (INV-030049, to TL), funded a portion of the work described. There is no involvement of the funders in final decisions regarding the study design and trial procedures or decision to publish the manuscript or in data collection, analysis or publication of study results. The funders reviewed the final decisions regarding study design and trial procedures.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Appendix. DeWorm3 Assay Validation Report.

The complete report of all activities performed as part of the DeWorm3 assay validation process. This report summarizes and collates the underlying data generated in support of this manuscript.

(PDF)

pntd.0012760.s001.pdf (4.8MB, pdf)
S1 Table. Comparison of Multiplexed and Singleplex Assays Using DNA Extracts from Stool Samples Collected in India.

Thirty-one samples were tested using both multiplex (DeWorm3) and singleplex reference assays. Comparative results are presented.

(XLSX)

pntd.0012760.s002.xlsx (13KB, xlsx)
S2 Table. Master Mix Comparison across Target Species.

Three candidate master mixes were compared to determine their relative performance. The ability of each master mix to amplify all four target species was evaluated.

(XLSX)

pntd.0012760.s003.xlsx (19.1KB, xlsx)
S3 Table. Determination of A. suum Cut-off Value.

Twenty-five samples, each spiked with an equal concentration of A. suum eggs were assayed in order to determine an appropriate cut-off value for use with this external extraction control.

(XLSX)

pntd.0012760.s004.xlsx (23.8KB, xlsx)
S4 Table. Validation of Plasmid Controls.

Multiple replicates of reactions containing plasmid controls were performed in order to determine the expected amplification profile for each control stock.

(XLSX)

pntd.0012760.s005.xlsx (12.3KB, xlsx)
S5 Table. Titrations of Contrived Samples to Determine Limits of Detection for Each Assay/Target.

Samples were diluted in order to determine the minimal masses required to support amplification. These masses were reported as each assay’s limit of detection.

(XLSX)

pntd.0012760.s006.xlsx (21KB, xlsx)
S6 Table. Sample Heterogeneity Testing.

To examine how sample heterogeneity impacts detection, a panel of 200 samples was tested for each target species using both DeWorm3 extraction and assay conditions as well as reference singleplex extraction and assay conditions.

(XLSX)

pntd.0012760.s007.xlsx (47.3KB, xlsx)
S1 Text. Assay Accuracy at the Technical Replicate and Individual Extraction Level.

Performance metrics were determined using contrived samples containing various combinations of target species.

(DOCX)

pntd.0012760.s008.docx (96.7KB, docx)

Data Availability Statement

All relevant data are within the manuscript and its Supporting Information files.


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