Autor: |
Piyasiri SB; Department of Parasitology, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 0800, Sri Lanka., Dewasurendra R; Department of Parasitology, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 0800, Sri Lanka., Samaranayake N; Department of Parasitology, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 0800, Sri Lanka., Karunaweera N; Department of Parasitology, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 0800, Sri Lanka. |
Jazyk: |
angličtina |
Zdroj: |
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Sep 18; Vol. 13 (18). Date of Electronic Publication: 2023 Sep 18. |
DOI: |
10.3390/diagnostics13182989 |
Abstrakt: |
Leishmaniasis, a neglected tropical disease, encompasses a spectrum of clinical conditions and poses a significant risk of infection to over one billion people worldwide. Visceral leishmaniasis (VL) in the Indian sub-continent (ISC), where the causative parasite is Leishmania donovani , is targeted for elimination by 2025, with some countries already reaching such targets. Other clinical phenotypes due to the same species could act as a reservoir of parasites and thus pose a challenge to successful control and elimination. Sri Lanka has consistently reported cutaneous leishmaniasis (CL) due to L. donovani as the primary disease presentation over several decades. Similar findings of atypical phenotypes of L. donovani have also been reported from several other countries/regions in the Old World. In this review, we discuss the applicability of different methods in diagnosing CL due to L. donovani and a comprehensive assessment of diagnostic methods spanning clinical, microscopic, molecular, and immunological approaches. By incorporating evidence from Sri Lanka and other regions on L. donovani -related CL, we thoroughly evaluate the accuracy, feasibility, and relevance of these diagnostic tools. We also discuss the challenges and complexities linked to diagnosing CL and review novel approaches and their applicability for detecting CL. |
Databáze: |
MEDLINE |
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