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Deregulated tyrosine-phenylalanine metabolism in pulmonary tuberculosis patients.
Das, Mrinal Kumar; Bishwal, Subasa Chandra; Das, Aleena; Dabral, Deepti; Badireddy, Vinod Kumar; Pandit, Bhaswati; Varghese, George M; Nanda, Ranjan Kumar.
Affiliation
  • Das MK; †Immunology Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Road, New Delhi 110067, India.
  • Bishwal SC; †Immunology Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Road, New Delhi 110067, India.
  • Das A; †Immunology Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Road, New Delhi 110067, India.
  • Dabral D; †Immunology Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Road, New Delhi 110067, India.
  • Badireddy VK; †Immunology Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Road, New Delhi 110067, India.
  • Pandit B; ‡National Institute of Biomedical Genomics, Kalyani, West Bengal 741251, India.
  • Varghese GM; §Department of Medicine, Christian Medical College, Vellore, Tamil Nadu 632004, India.
  • Nanda RK; †Immunology Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Road, New Delhi 110067, India.
J Proteome Res ; 14(4): 1947-56, 2015 Apr 03.
Article in En | MEDLINE | ID: mdl-25693719
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenylalanine / Tyrosine / Tuberculosis, Pulmonary / Biomarkers / Metabolic Networks and Pathways / Metabolome Type of study: Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2015 Document type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenylalanine / Tyrosine / Tuberculosis, Pulmonary / Biomarkers / Metabolic Networks and Pathways / Metabolome Type of study: Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2015 Document type: Article Affiliation country: India