| Literature DB >> 25693719 |
Mrinal Kumar Das1, Subasa Chandra Bishwal1, Aleena Das1, Deepti Dabral1, Vinod Kumar Badireddy1, Bhaswati Pandit2, George M Varghese3, Ranjan Kumar Nanda1.
Abstract
Metabolic profiling of biofluids from tuberculosis (TB) patients would help us in understanding the disease pathophysiology and may also be useful for the development of novel diagnostics and host-directed therapy. In this pilot study we have compared the urine metabolic profiles of two groups of subjects having similar TB symptoms and categorized as active TB (ATB, n = 21) and non-TB (NTB, n = 21) based on GeneXpert test results. Silylation, gas chromatography mass spectrometry, and standard chemometric methods were employed to identify the important molecules and deregulated metabolic pathways. Eleven active TB patients were followed up on longitudinally for comparative urine metabolic profiling with healthy controls (n = 11). A set of 42 features qualified to have a variable importance parameter score of > 1.5 of a partial least-squares discriminate analysis model and fold change of > 1.5 at p value < 0.05 between ATB and NTB. Using these variables, a receiver operating characteristics curve was plotted and the area under the curve was calculated to be 0.85 (95% CI: 0.72-0.96). Several of these variables that represent norepinephrine, gentisic acid, 4-hydroxybenzoic acid, hydroquinone, and 4-hydroxyhippuric acid are part of the tyrosine-phenylalanine metabolic pathway. In the longitudinal study we observed a treatment-dependent trend in the urine metabolome of follow-up samples, and subjects declared as clinically cured showed similar metabolic profile as those of asymptomatic healthy subjects. The deregulated tyrosine-phenylalanine axis reveals a potential target for diagnostics and intervention in TB.Entities:
Keywords: GC−MS; metabolomics; silyalation; tuberculosis; tyrosine−phenylalanine metabolism; urine analysis
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Year: 2015 PMID: 25693719 DOI: 10.1021/acs.jproteome.5b00016
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466