Evidence map›Paper›PMID 40553394›Full record

ArticleGlycoconjugate journal2025

Detection of antibodies against the African parasite Trypanosoma brucei using synthetic glycosylphosphatidylinositol oligosaccharide fragments.

Maurice Michel, Benoit Stijlemans, Dana Michel, Monika Garg, Andreas Geissner, Peter H Seeberger, Daniel Varón Silva

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Article in Glycoconjugate journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Maurice MichelBiomolecular Systems Department, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476, Potsdam, Germany. maurice.michel@ki.se.
Benoit StijlemansLaboratory of Cellular and Molecular Immunology, Brussels Center for Immunology (BCIM), Vrije Universiteit Brussel, Brussels, 1050, Belgium.
Dana MichelBiomolecular Systems Department, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476, Potsdam, Germany.
Monika GargBiomolecular Systems Department, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476, Potsdam, Germany.
Andreas GeissnerBiomolecular Systems Department, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476, Potsdam, Germany.
Peter H SeebergerBiomolecular Systems Department, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476, Potsdam, Germany.
Daniel Varón SilvaBiomolecular Systems Department, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476, Potsdam, Germany. daniel.varon@fhnw.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trypanosoma brucei (T. brucei) parasites cause two major infectious diseases in Africa: African trypanosomiasis in humans (HAT) and Nagana in animals. Despite the enormous economic and social impact, vaccines and reliable diagnostic measures are still lacking for these diseases. The main obstacle to developing accurate diagnostic methods and an active vaccine is the parasite’s ability for antigenic variation, impairment of B cell maturation, and loss of B cell memory which collectively prevent the development of a long-lasting, effective immune response. The antigenic variation is sustained by random gene switching, segmental gene conversion, and altered glycosylation states of solvent-exposed regions of the corresponding variant surface glycoproteins (VSGs). These glycoproteins use a glycosylphosphatidylinositol (GPI) anchor for attachment to the membrane. GPIs of T. brucei have specific branched structures that are further heterogeneously galactosylated. Here, we synthesized a glycan fragment library containing T. brucei GPIs’ most prominent structural features and performed an epitope mapping using mice and human sera of infected specimens using glycan microarrays. The studies indicate that in contrast to VSGs, T. brucei GPIs are recognized by infection-induced short-lived Immunoglobulin M (IgM) and long-lasting Immunoglobulin G (IgG), suggesting a specific immune response against GPI structures. These findings enable the development of diagnostic tests based on synthetic antigens for the reliable diagnosis of human African trypanosomiasis and Nagana.

Indexed as

Antibodies, ProtozoanGlycosylphosphatidylinositolsOligosaccharidesTrypanosoma brucei bruceiTrypanosomiasis, AfricanAnimalsHumansVariant Surface Glycoproteins, TrypanosomaAntibodies, ProtozoanGlycosylphosphatidylinositolsOligosaccharidesVariant Surface Glycoproteins, Trypanosomacarbohydrate antigensdiagnosticsGPIHuman African TrypanosomiasisNaganaVSG

Identifiers

PMID40553394
PMCPMC12350571

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.