MassIVE MSV000080979

Partial Public PXD006357

Cerebrospinal fluid markers to distinguish bacterial meningitis from cerebral malaria in children

Description

Clinically distinguishing acute bacterial meningitis from cerebral malaria, both of which are important causes of acute non-traumatic coma associated with morbidity and mortality among paediatric hospital admissions in malaria endemic areas of Africa, is challenging. Few hospitals have diagnostic capacity for distinguishing the two syndromes resulting in broader antibiotic cover than necessary. A biochemical marker of ABM would facilitate precise clinical diagnosis and management of these infections. In this study, we used Label-free protein quantification by mass spectrometry to identify components of the CSF protein expression profiles of children with ABM that distinguish from those with CM with a high degree of specificity and sensitivity and that could be developed into point-of-care tests. James M. Njunge, Ian N. Oyaro, Nelson K. Kibinge, Martin K. Rono, Symon Kariuki, Charles R. Newton, James A. Berkley, Evelyn Gitau [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Biomarkers, Acute Bacterial Meningitis, Cerebral Malaria, Cerebrospinal Fluid, proteomics, Q Exactive, Label Free Quantification

Contact

Principal Investigators:
(in alphabetical order)
James M. Njunge, KEMRI-Wellcome.org, Kenya
Submitting User: jnjunge

Publications

Njunge JM, Oyaro IN, Kibinge NK, Rono MK, Kariuki SM, Newton CR, Berkley JA, Gitau EN.
Cerebrospinal fluid markers to distinguish bacterial meningitis from cerebral malaria in children.
Wellcome Open Res, 2017. 2: p. 47. doi: 10.12688/wellcomeopenres.11958.2.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.