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Development of a Nanobody-based lateral flow assay to detect active Trypanosoma congolense infections

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Pinto Torres, Joar E. Goossens, Julie Ding, Jianzu Li, Zeng Lu, Shaohong Vertommen, Didier [UCL] Magez, Stefan

Animal African trypanosomosis (AAT), a disease affecting livestock, is caused by parasites of the Trypanosoma genus (mainly T. vivax and T. congolense). AAT is widespread in Sub-Saharan Africa, where it continues to impose a heavy socio-economic burden as it renders the development of sustainable livestock rearing very strenuous. Active case-finding and the identification of infected animals prior to initiation of drug treatment requires the availability of sensitive and specific diagnostic tests. In this paper, we describe the development of two heterologous sandwich assay formats (ELISA and LFA) for T. congolense detection through the use of Nanobodies (Nbs). The immunisation of an alpaca with a secretome mix from two T. congolense strains resulted in the identification of a Nb pair (Nb44/Nb42) that specifically targets the glycolytic enzyme pyruvate kinase. We demonstrate that the Nb44/Nb42 ELISA and LFA can be employed to detect parasitaemia in plasma samples from experimentally infected mice and cattle and, additionally, that they can serve as 'test-of-cure' tools. Altogether, the findings in this paper present the development and evaluation of the first Nb-based antigen detection LFA to identify active T. congolense infections.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès libre
Publication date 2018
Language Anglais
Journal information "Scientific Reports" - Vol. 8, no.1, p. 9019 (2018)
Peer reviewed yes
Publisher Springer Nature
e-issn 2045-2322
Publication status Publié
Affiliation UCL - SSS/DDUV - Institut de Duve
Links
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Bibliographic reference Pinto Torres, Joar E. ; Goossens, Julie ; Ding, Jianzu ; Li, Zeng ; Lu, Shaohong ; et. al. Development of a Nanobody-based lateral flow assay to detect active Trypanosoma congolense infections. In: Scientific Reports, Vol. 8, no.1, p. 9019 (2018)
Permanent URL http://hdl.handle.net/2078.1/200800