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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Novel biomarker combination improves the diagnosis of serious bacterial infections in Malawian children
BMC Medical Genomics, Volume 5, Article 13, Year 2012
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Description
Background: High throughput technologies offer insight into disease processes and heightens opportunities for improved diagnostics. Using transcriptomic analyses, we aimed to discover and to evaluate the clinical validity of a combination of reliable and functionally important biomarkers of serious bacterial infection (SBI). Methods. We identified three previously reported biomarkers of infection (neutrophil gelatinase-associated lipocalin (NGAL), granulysin and resistin) and measured gene expression using quantitative real-time PCR. Protein products related to the three transcripts were measured by immunoassays. Results: Relative gene expression values of NGAL and resistin were significantly increased, and expression of granulysin significantly decreased in cases compared to controls. Plasma concentrations of NGAL and resistin were significantly increased in children with confirmed SBI compared to children with no detectable bacterial infection (NBI), and to controls (287 versus 128 versus 62 ng/ml and 195 versus 90 versus 18 ng/ml, respectively, p < 0.05). Plasma protein concentrations of NGAL and resistin were significantly increased in non-survivors compared to survivors (306 versus 211 and 214 versus 150 ng/ml, p = 0.02). The respective areas under the curve (AUC) for NGAL, resistin and procalcitonin in predicting SBI were 0.79, 0.80 and 0.86, whilst a combination of NGAL, resistin and procalcitonin achieved an AUC of 0.90. Conclusions: We have demonstrated a unique combination of diagnostic biomarkers of SBI using transcriptomics, and demonstrated translational concordance with the corresponding protein. The addition of NGAL and resistin protein measurement to procalcitonin significantly improved the diagnosis of SBI. © 2012 Irwin et al.; licensee BioMed Central Ltd.
Authors & Co-Authors
Irwin, Adam D.
United Kingdom, Liverpool
University of Liverpool
Marriage, Fiona
United Kingdom, Manchester
The University of Manchester
Mankhambo, Limangeni A.
Malawi, Blantyre
Malawi-liverpool-wellcome Trust Clinical Research Programme
Malawi, Zomba
University of Malawi
Jeffers, Graham
United Kingdom, Liverpool
University of Liverpool
Kolamunnage-Dona, Ruwanthi
United Kingdom, Liverpool
University of Liverpool
Guiver, Malcolm
United Kingdom, London
Public Health England
Denis, Brigitte B.
Malawi, Blantyre
Malawi-liverpool-wellcome Trust Clinical Research Programme
Molyneux, Elizabeth M.
Malawi, Zomba
University of Malawi
Molyneux, Malcolm Edward
Malawi, Blantyre
Malawi-liverpool-wellcome Trust Clinical Research Programme
Philip John Day, Philip John R.
United Kingdom, Manchester
The University of Manchester
Carrol, Enitan D.
United Kingdom, Liverpool
University of Liverpool
Malawi, Blantyre
Malawi-liverpool-wellcome Trust Clinical Research Programme
Malawi, Zomba
University of Malawi
Statistics
Citations: 11
Authors: 11
Affiliations: 5
Identifiers
Doi:
10.1186/1755-8794-5-13
e-ISSN:
17558794
Research Areas
Genetics And Genomics
Maternal And Child Health
Study Approach
Quantitative