An update on non-invasive urine diagnostics for human-infecting parasitic helminths: what more could be done and how?. Issue 8 (13th July 2020)

• Record Type: Journal Article
• Authors: Archer, John; LaCourse, James E.; Webster, Bonnie L.; Stothard, J. Russell.
• Is Part Of: Parasitology. Volume 147:Issue 8(2020)
• Page Start: 873
• Page End: 888
• Publication Date: 2020-07-13
• Subjects: Helminth diagnosis, -- helminthiases, -- non-invasive urine sampling, -- urine diagnostics; Parasitology -- Periodicals; Electronic journals; 616.96
• DOI: 10.1017/S0031182019001732
• Languages: English
• ISSNs: 0031-1820

Abstract

Abstract: Reliable diagnosis of human helminth infection(s) is essential for ongoing disease surveillance and disease elimination. Current WHO-recommended diagnostic assays are unreliable in low-endemic near-elimination settings and typically involve the invasive, onerous and potentially hazardous sampling of bodily fluids such as stool and blood, as well as tissue via biopsy. In contrast, diagnosis by use of non-invasive urine sampling is generally painless, more convenient and low risk. It negates the need for specialist staff, can usually be obtained immediately upon request and is better accepted by patients. In some instances, urine-based diagnostic assays have also been shown to provide a more reliable diagnosis of infection when compared to traditional methods that require alternative and more invasive bodily samples, particularly in low-endemicity settings. Given these relative benefits, we identify and review current research literature to evaluate whether non-invasive urine sampling is currently exploited to its full potential in the development of diagnostic tools for human helminthiases. Though further development, assessment and validation are needed before their routine use in control programmes, low-cost, rapid and reliable assays capable of detecting transrenal helminth-derived antigens and cell-free DNA show excellent promise for future use at the point-of-care in high-, medium- and even low-endemicity elimination settings.