Evidence map›Paper›PMID 42782422›Full record

ArticleMolecular diagnosis & therapy2026

Comparison of Maxwell Kit-Based and NaOH-Based DNA Extraction Incorporated copro-DNA-SjTR1-qPCR Systems: Insights from Detecting Low-Intensity Schistosoma Japonicum Infections.

Emmanuel John Tabilin, Catherine A Gordon, Mario A Jiz, Eleonor Avenido-Cervantes, Marianette Inobaya, Marcello Otake Sato, Megumi Sato, Yasuhito Sako, Darren J Gray, Mary Lorraine Mationg and 2 more

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Article in Molecular diagnosis & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Emmanuel John TabilinApplied Tropical and Molecular Parasitology Laboratory, QIMR Berghofer, Brisbane, QLD, Australia.
Catherine A GordonApplied Tropical and Molecular Parasitology Laboratory, QIMR Berghofer, Brisbane, QLD, Australia. Catherine.Gordon@qimrb.edu.au.
Mario A JizImmunology Department, Research Institute for Tropical Medicine, Manila, the Philippines.
Eleonor Avenido-CervantesImmunology Department, Research Institute for Tropical Medicine, Manila, the Philippines.
Marianette InobayaImmunology Department, Research Institute for Tropical Medicine, Manila, the Philippines.
Marcello Otake SatoDivision of Global Environment Parasitology, Faculty of Medical Technology, Niigata University of Pharmacy and Medical and Life Sciences, Niigata, Japan.
Megumi SatoGraduate School of Health Sciences, Niigata University, Niigata, Japan.
Yasuhito SakoAsahikawa Medical University, Asahikawa, Japan.
Darren J GrayCentre for Tropical Health and Emerging Diseases, QIMR Berghofer, Brisbane, QLD, Australia.
Mary Lorraine MationgPopulation Health Program, QIMR Berghofer, Brisbane, QLD, Australia.
Yi MuApplied Tropical and Molecular Parasitology Laboratory, QIMR Berghofer, Brisbane, QLD, Australia.
Pengfei CaiApplied Tropical and Molecular Parasitology Laboratory, QIMR Berghofer, Brisbane, QLD, Australia. Pengfei.Cai@qimrb.edu.au.ORCID http://orcid.org/0000-0003-4975-4615

Funding

Japan Agency for Medical Research and Development JP21jm0210091National Health and Medical Research Council APP2008433Philippine Council for Health Research and Development FP 220025
6 · The paper itself

Abstract

BACKGROUND AND

objectiveSchistosomiasis remains a significant public health issue globally. This study aimed to compare the performance of two molecular diagnostic systems for the detection of low-intensity Schistosoma japonicum infections.

methodsA Maxwell kit-based copro-DNA-SjTR1-qPCR workflow (SjTR1-qPCR-S1) and a NaOH-based copro-DNA-SjTR1-qPCR workflow (SjTR1-qPCR-S2) were compared as integrated systems using faecal samples (n = 554) collected from an S. japonicum-endemic area in Leyte Province, the Philippines. The duplicated Kato-Katz (KK) was performed on three stool samples collected from different days for each participant. The diagnostic performance of KK and the SjTR1-qPCR systems were comprehensively compared with a composite reference where a participant was classified as positive if the KK was positive or any qPCR assay was positive.

resultsThe KK, SjTR1-qPCR-S1 and SjTR1-qPCR-S2 recorded positivity rates of 25.1% (139/554), 25.5% (141/554) and 29.8% (165/554), respectively. The overall S. japonicum positivity rate was 39.2% (217/554) as determined from the composite reference. Both SjTR1-qPCR systems exhibited excellent sensitivity in individuals with moderate-heavy (eggs per gram ≥ 100) and light (eggs per gram 10-99) infection intensity, with reduced sensitivity observed only in individuals with extremely low egg burden (eggs per gram 1-9). Globally, SjTR1-qPCR-S2 demonstrated significantly higher sensitivity (76.0%) compared with the KK (64.1%) and SjTR1-qPCR-S1 (65.0%) [p < 0.0161 and p = 0.0021, respectively, χ

conclusionsSjTR1-qPCR-S2 is cost effective and less reliant on specialised equipment compared with SjTR1-qPCR-S1. With further optimisation, the SjTR1-qPCR-S2 system can be a powerful and game-changing option for integration into the current surveillance network to support the eradication of schistosomiasis japonica.

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PMID42782422

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