Browsing Research Output by Subject "metabolomics"
Now showing items 1-7 of 7
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Can metabolomics improve tuberculosis diagnostics?
(Springer, 2014)With one third of the global human population suffering from tuberculosis (TB) in 2001, the disease was officially declared a worldwide emergency by the World Health Organization. Since then this disease has grown ... -
A metabolomics investigation of a hyper- and hypo-virulent phenotype of Beijing lineage M. tuberculosis
(Springer, 2012)Despite a number investigations using rapid sequencing and comparative genomic techniques, attempting to characterise the phenomenon of varying degrees of virulence within the Mycobacterium tuberculosis species, the ... -
A putative urinary biosignature for diagnosis and follow-up of tuberculous meningitis in children: outcome of a metabolomics study disclosing host-pathogen responses
(Springer, 2016)Introduction: Tuberculous meningitis (TBM) is a severe manifestation of tuberculosis, presenting with high morbidity and mortality in children. Existing diagnostic methods for TBM are invasive and time-consuming and the ... -
Qualitative serum organic acid profiles of HIV-infected individuals not on antiretroviral treatment
(Springer, 2012)The first application of gas chromatography mass spectrometry (GC–MS) metabolomics to the analysis of organic acid profiles in sera of asymptomatic human immunodeficiency virus (HIV)-infected individuals (n = 18) ... -
Untargeted metabolite profiling of abalone using gas chromatography mass spectrometry
(Springer, 2016)Abalone meat is a delicacy worldwide, fetching high prices and a valuable source of income for the many countries farming and exporting this commodity. The quality of abalone is based on its unique sensory properties and ... -
Untargeted urine metabolomics reveals a biosignature for muscle respiratory chain deficiencies
(Springer, 2015)Mitochondrial diseases are a heterogeneous group of disorders characterised by impaired mitochondrial oxidative phosphorylation system. Most often for mitochondrial disease, where no metabolic diagnostic biomarkers exist, ... -
Variable selection for binary classification using error rate p-values applied to metabolomics data
(BioMed Central, 2016)Background: Metabolomics datasets are often high-dimensional though only a limited number of variables are expected to be informative given a specific research question. The important task of selecting informative variables ...