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PXD004219 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleIdentification of protein biomarkers for pneumococcal meningitis in children C4PR_LIV
DescriptionBacterial meningitis is usually fatal without treatment. Prompt and accurate diagnosis coupled with the timely administration of parenteral antibiotics is necessary in order to save lives. We used label-free mass spectrometry based quantitative proteomics to identify specific protein signatures in cerebrospinal fluid from Malawian children with Streptococcus pneumoniae infection, the leading cause of bacterial meningitis in children, elderly and people infected with Human Immunodeficiency Virus. Samples were analysed in two independent cohorts (cases and controls, n=12 for the discovery cohort and n=16 for the verification cohort). The protein profiles clearly discriminated cases and controls. Proteins involved in the immune response and exosome cell signaling were significantly enriched in the infected samples. Several S. pneumoniae membrane proteins were identified suggesting these as potential therapeutic targets. For both cohorts, over 200 human proteins were up and down-regulated in children with confirmed S. pneumoniae infection in comparison with controls. Compiling proteins up- and down- regulated in both discovery and verification cohorts, we generated a comprehensive list of over 140 proteins from which diagnostic biomarkers could be nominated. For a panel of five selected proteins (cathelicidin, ceruloplasmin, myeloperoxidase, cystatin C and protein S100A8/S100 A9), we additionally verified the label-free results by automated quantitative western blot immunoassays (Simple Western™), with excellent agreement between the two experimental approaches. The proteins identified in our study could form the basis of development of a biomarker panel for rapid diagnosis. Our results could lead to the development of point-of-care assays to inform diagnosis, and to nominate new targets for drugs and vaccines to improve disease management and consequently to enhance the prognosis of children with bacterial meningitis.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterGuadalupe Gomez Baena
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListOxidation; Carbamidomethyl
InstrumentLTQ Orbitrap Velos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02016-05-24 09:47:05ID requested
12017-08-02 11:19:42announced
22017-08-03 02:37:01announcedUpdated project metadata.
32017-08-04 00:30:26announcedUpdated project metadata.
42017-08-07 07:31:32announcedUpdated project metadata.
52019-08-06 00:30:19announcedUpdated project metadata.
Publication List
G, ó, mez-Baena G, Bennett RJ, Mart, í, nez-Rodr, í, guez C, Wn, ę, k M, Laing G, Hickey G, McLean L, Beynon RJ, Carrol ED, Quantitative Proteomics of Cerebrospinal Fluid in Paediatric Pneumococcal Meningitis. Sci Rep, 7(1):7042(2017) [pubmed]
Keyword List
curator keyword: Biological, Biomedical
submitter keyword: bacterial meningitis, Streptococcus pneumoniae, protein quantification
Contact List
Prof. Rob J. Beynon
contact affiliationCentre for Proteome Research, University of Liverpool
contact emailrbeynon@liverpool.ac.uk
lab head
Guadalupe Gomez Baena
contact affiliationUniversity of Liverpool
contact emailg.gomez-baena@liverpool.ac.uk
dataset submitter
Full Dataset Link List
Dataset FTP location
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