Evidence map›Paper›PMID 21695105›Full record

ArticlePLoS neglected tropical diseases2011

Identification of peptide mimotopes of Trypanosoma brucei gambiense variant surface glycoproteins.

Liesbeth Carolien Van Nieuwenhove, Stijn Rogé, Fatima Balharbi, Tessa Dieltjens, Thierry Laurent, Yves Guisez, Philippe Büscher, Veerle Lejon

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Trypanosoma brucei gambiense-iELISA: A Promising New Test for the Post-Elimination Monitoring of Human African Trypanosomiasis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
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4 · The record

Corrections and comments

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

8 authors.

Liesbeth Carolien Van NieuwenhoveDepartment of Parasitology, Institute of Tropical Medicine, Antwerp, Belgium. lvnieuwenhove@itg.be
Stijn Rogé
Fatima Balharbi
Tessa Dieltjens
Thierry Laurent
Yves Guisez
Philippe Büscher
Veerle Lejon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current antibody detection tests for the diagnosis of gambiense human African trypanosomiasis (HAT) are based on native variant surface glycoproteins (VSGs) of Trypanosoma brucei (T.b.) gambiense. These native VSGs are difficult to produce, and contain non-specific epitopes that may cause cross-reactions. We aimed to identify mimotopic peptides for epitopes of T.b. gambiense VSGs that, when produced synthetically, can replace the native proteins in antibody detection tests. METHODOLOGY/PRINCIPAL

findingsPhD.-12 and PhD.-C7C phage display peptide libraries were screened with mouse monoclonal antibodies against the predominant VSGs LiTat 1.3 and LiTat 1.5 of T.b. gambiense. Thirty seven different peptide sequences corresponding to a linear LiTat 1.5 VSG epitope and 17 sequences corresponding to a discontinuous LiTat 1.3 VSG epitope were identified. Seventeen of 22 synthetic peptides inhibited the binding of their homologous monoclonal to VSG LiTat 1.5 or LiTat 1.3. Binding of these monoclonal antibodies to respectively six and three synthetic mimotopic peptides of LiTat 1.5 and LiTat 1.3 was significantly inhibited by HAT sera (p<0.05). CONCLUSIONS/SIGNIFICANCE: We successfully identified peptides that mimic epitopes on the native trypanosomal VSGs LiTat 1.5 and LiTat 1.3. These mimotopes might have potential for the diagnosis of human African trypanosomiasis but require further evaluation and testing with a large panel of HAT positive and negative sera.

Indexed as

AnimalsAntibodies, ProtozoanEpitopesHumansMicePeptidesTrypanosoma brucei gambienseTrypanosomiasis, AfricanVariant Surface Glycoproteins, TrypanosomaAntibodies, ProtozoanEpitopesPeptidesVariant Surface Glycoproteins, Trypanosoma

Identifiers

PMID21695105
PMCPMC3114753

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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.