Evidence map›Paper›PMID 20608875›Full record

ArticleThe Journal of infectious diseases2010

Proteomic analysis of cerebrospinal fluid in pneumococcal meningitis reveals potential biomarkers associated with survival.

Upali R Goonetilleke, Matthew Scarborough, Stephen A Ward, Stephen B Gordon

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

17 citing papers in PubMed.

  1. Article
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  7. Targeting the complement system in bacterial meningitis.Brain : a journal of neurology · 2019
    Review
  8. Article
  9. Article
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  12. Review
  13. Article
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  15. Article
  16. Persistence of pneumolysin in the cerebrospinal fluid of patients with pneumococcal meningitis is associated with mortality.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2012
    Article
  17. 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

4 authors.

Upali R GoonetillekeLiverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom. upali.goonetilleke@liverpool.ac.uk
Matthew Scarborough
Stephen A Ward
Stephen B Gordon

Funding

Wellcome Trust 061231
6 · The paper itself

Abstract

backgroundPatients with pneumococcal meningitis often die or have severe neurological damage despite optimal antibiotic therapy. New or improved therapy is required. The delivery of new interventions will require an improved understanding of the disease pathogenesis. Our objective was to learn more about the pathophysiology of severe meningitis through the interpretation of differences in the proteomic profile of cerebrospinal fluid (CSF) from patients with meningitis.

methodsTwo-dimensional polyacrylamide gel electrophoresis of CSF from normal subjects (controls, n = 10) and patients with pneumococcal meningitis (n = 20) was analyzed. Spot differences were compared and identified between controls, nonsurvivors (n = 9), and survivors (n = 11).

resultsProtein concentration in CSF of patients with meningitis was 4-fold higher than in CSF of control subjects (7.0 mg/mL vs 0.23 mg/mL; P < .01). A mean of 2466 discrete protein spots was present in CSF of patients with meningitis. Thirty-four protein spots were differentially expressed in CSF of nonsurvivors, compared with survivors. None of these protein spots were observed in CSF of control subjects.

conclusionsProteomic screening of CSF yields potential biomarkers capable of differentiating control subjects from nonsurvivors and survivors of meningitis. Proteins involved in the inflammatory process and central metabolism were represented in the differentially expressed protein repertoire.

Indexed as

BiomarkersAdultCerebrospinal FluidElectrophoresis, Gel, Two-DimensionalFemaleHumansMaleMeningitis, PneumococcalMiddle AgedProteomeSurvival AnalysisBiomarkersProteome

Identifiers

PMID20608875
PMCPMC5019338

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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.