title: Application of (1)h NMR spectroscopy-based metabolomics to sera of tuberculosis patients.
abstract: Nuclear magnetic resonance (NMR) spectroscopy is an ideal platform for the metabolic analysis of biofluids due to its high reproducibility, nondestructiveness, nonselectivity in metabolite detection, and the ability to simultaneously quantify multiple classes of metabolites. Tuberculosis (TB) is a chronic wasting inflammatory disease characterized by multisystem involvement, which can cause metabolic derangements in afflicted patients. In this study, we combined multivariate pattern recognition (PR) analytical techniques with (1)H NMR spectroscopy to explore the metabolic profile of sera from TB patients. A total of 77 serum samples obtained from patients with TB (n = 38) and healthy controls (n = 39) were investigated. Orthogonal partial least-squares discriminant analysis (OPLS-DA) was capable of distinguishing TB patients from controls and establishing a TB-specific metabolite profile. A total of 17 metabolites differed significantly in concentration between the two groups. Serum samples from TB patients were characterized by increased concentrations of 1-methylhistidine, acetoacetate, acetone, glutamate, glutamine, isoleucine, lactate, lysine, nicotinate, phenylalanine, pyruvate, and tyrosine, accompanied by reduced concentrations of alanine, formate, glycine, glycerolphosphocholine, and low-density lipoproteins relative to control subjects. Our study reveals the metabolic profile of sera from TB patients and indicates that NMR-based methods can distinguish TB patients from healthy controls. NMR-based metabolomics has the potential to be developed into a novel clinical tool for TB diagnosis or therapeutic monitoring and could contribute to an improved understanding of disease mechanisms.
authors: Laboratory of Bacterial Pathogenesis, Department of Microbiology and Immunology, Institutes of Medical Sciences, Shanghai Jiao Tong University School of Medicine , 280 South Chongqing Road, Shanghai 200025, China.
authors: Aiping
authors: A
authors: Zhou
authors: Jinjing
authors: J
authors: Ni
authors: Zhihong
authors: Z
authors: Xu
authors: Ying
authors: Y
authors: Wang
authors: Shuihua
authors: S
authors: Lu
authors: Wei
authors: W
authors: Sha
authors: Petros C
authors: PC
authors: Karakousis
authors: Yu-Feng
authors: YF
authors: Yao
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D001774:Blood Chemical Analysis / Q000379:methods*; D016022:Case-Control Studies; D002648:Child; D005260:Female; D006801:Humans; D009682:Magnetic Resonance Spectroscopy; D008297:Male; D055442:Metabolome; D055432:Metabolomics; D008875:Middle Aged; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D014397:Tuberculosis, Pulmonary / Q000097:blood*; D055815:Young Adult
chemical_list: D015415:Biomarkers
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