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. 2019 Aug 15;13(8):e0007658.
doi: 10.1371/journal.pntd.0007658. eCollection 2019 Aug.

Systematic review on antigens for serodiagnosis of visceral leishmaniasis, with a focus on East Africa

Affiliations

Systematic review on antigens for serodiagnosis of visceral leishmaniasis, with a focus on East Africa

Vera Kühne et al. PLoS Negl Trop Dis. .

Abstract

Background: Accurate and accessible diagnosis is key for the control of visceral leishmaniasis (VL). Yet, current diagnostic tests for VL have severe limitations: they are invasive or not suitable as point of care (POC) test or their performance is suboptimal in East Africa. We analysed the antigens in the VL serodiagnostics development pipeline to identify shortcomings and to propose strategies in the development of an alternative POC test for VL in East Africa.

Objectives: The objective of this study was to identify and to analyse all antigens for VL serodiagnosis that have been published before 2018 in order to identify candidates and gaps in the pipeline for a new POC test in East Africa.

Methods: A systematic literature search was performed on PubMed for original research articles on Leishmania-specific antigens for antibody detection of VL in humans. From each article, the following information was extracted: the antigen name, test format and characteristics, its reported sensitivity and specificity and study cohort specifications.

Results: One hundred and seven articles containing information about 96 tests based on 89 different antigens were included in this study. Eighty six of these tests, comprising 80 antigens, were evaluated in phase I and II studies only. Only 20 antigens, all of which are native, contain a carbohydrate and/or lipid moiety. Twenty-four antigens, of which 7 are non-native, are composed of antigen mixtures. Nineteen tests, comprising 18 antigens, have been evaluated on East African specimens, of which only 2 (rK28 based immunochromatographic test and intact promastigote based indirect fluorescent antibody technique) consistently showed sensitivities above 94 and specificities above 97% in a phase III study and one in a phase II study (dot blot with SLA). Only rK28 is a non-native mixture of antigens which we consider suitable for further evaluation and implementation.

Conclusions: The development pipeline for an alternative serodiagnostic test for VL is almost empty. Most antigens are not sufficiently evaluated. Non-protein antigens and antigen mixtures are being neglected. We propose to expand the evaluation of existing antigen candidates and to investigate the diagnostic potential of defined non-native carbohydrate and lipid antigens for VL serodiagnosis in East Africa.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. PRISMA 2009 flow diagram adapted from Moher et al. (2009) [20].
Fig 2
Fig 2. Serodiagnostic tests for VL in the different phases of the diagnostic development pipeline.
Each test is defined by its antigen and the test format. The number of tests shown in black is the total number of tests that have been evaluated in this phase. The number of tests in black gives the total number of tests per phase, the number of tests shown shown in green gives the number of tests that meet the cut off of >94% sensitivity and >97% specificity for an ideal test defined by Boelaert et al, 2007 [18].
Fig 3
Fig 3. Single antigens and mixed antigen preparations grouped according to their origin (native versus non-native), the presence or absence of carbohydrate and/or lipid moieties, and their defined or undefined character.
*crude Leishmania histone, **e.g. DAT, ***e.g. rK28, # e.g. rK39, e.g. BHUP 1–3, + e.g. P32, ++ e.g. LPG, +++ FML, monoclonal antibodies D2 + D13 + D14.
Fig 4
Fig 4. Position of serodiagnostic tests for VL along the different phases of the diagnostic development pipeline, based on their evaluation on East African specimens.
Each test is defined by its antigen and the test format. The number of tests shown in black is the total number of tests that have been evaluated in each phase. The number of tests shown in black gives the total number of tests per phase, the number of tests shown in green gives the number of tests that meet the cut off of >94% sensitivity and >97% specificity for an ideal test defined by Boelaert et al, 2007 [18].

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