Evaluation of a modified quantitative polymerase chain reaction assay for genus Schistosoma detection using stool and urine samples from schistosomiasis endemic areas in Kenya

• Published in: PloS one 2024-09, Vol.19 (9), p.e0310118
• Main Authors: Kanyi, Henry, Kihoro, Richelle W, Chieng, Benard, Araka, Sylvie, Emisiko, Henry, Ramos, Thierry, Nogaro, Sarah, Njenga, Sammy M
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Analysis; Animals; Antigens; Assaying; Bayesian analysis; Care and treatment; Child; Child, Preschool; Chronic illnesses; Consent; Diagnosis; Diagnostic tests; Disease control; Economic activity; Endemic Diseases; Farming; Feces - parasitology; Female; Humans; Infections; Kenya - epidemiology; Male; Microscopy; Middle Aged; Parasites; Parasitic diseases; Polymerase chain reaction; Real time; Real-Time Polymerase Chain Reaction - methods; Schistosoma; Schistosoma - genetics; Schistosoma - isolation & purification; Schistosoma mansoni; Schistosomiasis; Schistosomiasis - diagnosis; Schistosomiasis - epidemiology; Schistosomiasis - parasitology; Schistosomiasis - urine; Sensitivity analysis; Sensitivity and Specificity; Tropical diseases; Urine; Young Adult
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0310118

The microscopy-based Kato-Katz and urine filtration techniques have traditionally faced challenges in the detection of schistosomiasis in areas with low infection levels. A modified singleplex Schistosoma genus-specific quantitative real-time polymerase chain reaction (qPCR) assay was therefore evaluated as a sensitive and confirmatory schistosomiasis diagnostic test. The qPCR assay utilized primers and probe targeting internal transcribed spacer- 2 (ITS2) sequence of S. mansoni, S. haematobium and S. intercalatum. A plasmid (pDMD801, 100pg/ul) was used as an internal amplification control and its qPCR assays were run in parallel to the Schistosoma assays. This assay utilized samples collected from 774 participants and microscopically examined for three consecutive days. A total of 699 day-one samples (urine and stools) from two schistosomiasis endemic sites were analyzed. Similarly, 75 persons from a non-endemic control site provided both urine and stool samples that were also analyzed. Using microscopy, the proportion of positives in the two endemic regions altogether was 289/699 (41.3%). Using qPCR, 50.4% of the samples (352/699) were found to be positive for schistosome infection. The percentage of positive samples was slightly higher at 57.8% (203/351) in the S. mansoni endemic site compared with the S. haematobium site at 42.8% (149/348). Majority of the microscopy results were light infections at 26.8% (n = 94) and 26.1% (n = 91) while qPCR majority of the infections were high at 41.6% (n = 146) and 31.3% (n = 109) for the S. mansoni and S. haematobium sites, respectively. There were no positives detected by either microscopy or qPCR in the non-endemic site. Using Bayesian Latent Class Model, which does not use any technique as a gold standard, qPCR showed higher sensitivity (86.4% (PCI: 82.1-90.3)) compared to microscopy (75.6% (PCI: 71.1-80.0)). This study documents a single day-one sample modified Schistosoma qPCR assay as a powerful improved molecular assay for the detection of schistosomiasis infection that utilize either stool or urine samples. The assay is therefore recommended for monitoring in areas with low infection levels to enable accurate determination of the disease's control endpoint.