Evidence map›Paper›PMID 19554086›Full record

ArticlePLoS neglected tropical diseases2009

A combined CXCL10, CXCL8 and H-FABP panel for the staging of human African trypanosomiasis patients.

Alexandre Hainard, Natalia Tiberti, Xavier Robin, Veerle Lejon, Dieudonné Mumba Ngoyi, Enock Matovu, John Charles Enyaru, Catherine Fouda, Joseph Mathu Ndung'u, Frédérique Lisacek and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

40 citing papers in PubMed, 66 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Diagnosis of cerebral malaria: Tools to reduceFrontiers in cellular and infection microbiology · 2023
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Generation of neuroinflammation in human African trypanosomiasis.Neurology(R) neuroimmunology & neuroinflammation · 2019
    Review
  10. Review
  11. Article
  12. Neural Damage in ExperimentalFrontiers in neuroanatomy · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. IL-9 and Th9 in parasite immunity.Seminars in immunopathology · 2017
    Review
  18. Article
  19. The role of cytokines in the pathogenesis and staging of Trypanosoma brucei rhodesiense sleeping sickness.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2016
    Review
  20. Article
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

13 authors at 5 institutions in 4 countries.

Alexandre HainardBiomedical Proteomics Research Group, Medical University Centre, Geneva, Switzerland.
Natalia Tiberti
Xavier Robin
Veerle Lejon
Dieudonné Mumba Ngoyi
Enock Matovu
John Charles Enyaru
Catherine Fouda
Joseph Mathu Ndung'u
Frédérique Lisacek
Markus Müller
Natacha Turck
Jean-Charles Sanchez
Makerere University · UGSIB Swiss Institute of Bioinformatics · CHFoundation for Innovative New Diagnostics · CHInstituut voor Tropische Geneeskunde · BENational Institute of Biomedical Research · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman African trypanosomiasis (HAT), also known as sleeping sickness, is a parasitic tropical disease. It progresses from the first, haemolymphatic stage to a neurological second stage due to invasion of parasites into the central nervous system (CNS). As treatment depends on the stage of disease, there is a critical need for tools that efficiently discriminate the two stages of HAT. We hypothesized that markers of brain damage discovered by proteomic strategies and inflammation-related proteins could individually or in combination indicate the CNS invasion by the parasite.

methodsCerebrospinal fluid (CSF) originated from parasitologically confirmed Trypanosoma brucei gambiense patients. Patients were staged on the basis of CSF white blood cell (WBC) count and presence of parasites in CSF. One hundred samples were analysed: 21 from stage 1 (no trypanosomes in CSF and <or=5 WBC/microL) and 79 from stage 2 (trypanosomes in CSF and/or >5 WBC/microL) patients. The concentration of H-FABP, GSTP-1 and S100beta in CSF was measured by ELISA. The levels of thirteen inflammation-related proteins (IL-1ra, IL-1beta, IL-6, IL-9, IL-10, G-CSF, VEGF, IFN-gamma, TNF-alpha, CCL2, CCL4, CXCL8 and CXCL10) were determined by bead suspension arrays.

resultsCXCL10 most accurately distinguished stage 1 and stage 2 patients, with a sensitivity of 84% and specificity of 100%. Rule Induction Like (RIL) analysis defined a panel characterized by CXCL10, CXCL8 and H-FABP that improved the detection of stage 2 patients to 97% sensitivity and 100% specificity.

conclusionThis study highlights the value of CXCL10 as a single biomarker for staging T. b. gambiense-infected HAT patients. Further combination of CXCL10 with H-FABP and CXCL8 results in a panel that efficiently rules in stage 2 HAT patients. As these molecules could potentially be markers of other CNS infections and disorders, these results should be validated in a larger multi-centric cohort including other inflammatory diseases such as cerebral malaria and active tuberculosis.

Indexed as

AdolescentAdultAgedAnimalsBiomarkersChemokine CXCL10Enzyme-Linked Immunosorbent AssayFatty Acid Binding Protein 3Fatty Acid-Binding ProteinsFemaleHumansInflammation MediatorsInterleukin-8MaleMiddle AgedTrypanosoma brucei gambienseBiomarkersChemokine CXCL10CXCL10 protein, humanCXCL8 protein, humanFABP3 protein, humanFatty Acid Binding Protein 3Fatty Acid-Binding ProteinsInflammation MediatorsInterleukin-8

Identifiers

PMID19554086
PMCPMC2696178
OpenAlexW1999269766

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LicenceCC BY
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Registered trials

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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.