Portable smartphone-based molecular test for rapid detection of Leishmania spp.

Author:

Kobialka Rea Maja,Ceruti Arianna,Roy Madhurima,Roy Sutopa,Chowdhury Rajashree,Ghosh Prakash,Hossain Faria,Weidmann Manfred,Graf Elena,Bueno Alvarez Jesus,Moreno Javier,Truyen Uwe,Mondal Dinesh,Chatterjee Mitali,Abd El Wahed Ahmed

Abstract

Abstract Purpose Leishmaniasis, caused by the parasite of the genus Leishmania, is a neglected tropical disease which is endemic in more than 60 countries. In South-East Asia, Brazil, and East Africa, it mainly occurs as kala-azar (visceral leishmaniasis, VL), and subsequently as post kala-azar dermal leishmaniasis (PKDL) in a smaller portion of cases. As stated per WHO roadmap, accessibility to accurate diagnostic methods is an essential step to achieve elimination. This study aimed to test the accuracy of a portable minoo device, a small battery-driven, multi-use fluorimeter operating with isothermal technology for molecular diagnosis of VL and PKDL. Methods Fluorescence data measured by the device within 20 min are reported back to the mobile application (or app) via Bluetooth and onward via the internet to a backend. This allows anonymous analysis and storage of the test data. The test result is immediately returned to the app displaying it to the user. Results The limit of detection was 11.2 genome copies (95% CI) as determined by screening a tenfold dilution range of whole Leishmania donovani genomes using isothermal recombinase polymerase amplification (RPA). Pathogens considered for differential diagnosis were tested and no cross-reactivity was observed. For its diagnostic performance, DNA extracted from 170 VL and PKDL cases, comprising peripheral blood samples (VL, n = 96) and skin biopsies (PKDL, n = 74) from India (n = 108) and Bangladesh (n = 62), was screened. Clinical sensitivity and specificity were 88% and 91%, respectively. Conclusion Minoo devices can offer a convenient, cheaper alternative to other molecular diagnostics. Its easy handling makes it ideal for use in low-resource settings to identify parasite burden.

Funder

Bill and Melinda Gates Foundation

Universität Leipzig

Publisher

Springer Science and Business Media LLC

Reference57 articles.

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