Discovery and validation of an NMR-based metabolomic profile in urine as TB biomarker
Izquierdo-Garcia, José Luis (Universidad Complutense de Madrid)
Comella-del-Barrio, Patricia (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia)
Campos-Olivas, Ramón (Centro Nacional de Investigaciones Oncológicas)
Villar-Hernández, Raquel (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Prat i Aymerich, Cristina (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
De Souza Galvão, Maria Luiza (Hospital Universitari Vall d'Hebron)
Jiménez-Fuentes, Maria Angeles (Hospital Universitari Vall d'Hebron)
Ruiz-Manzano, Juan (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Stojanovic, Zoran (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
González, Adela (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Serra-Vidal, Mar (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
García-García, Esther (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Muriel-Moreno, Beatriz (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Millet, Joan Pau (Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública)
Molina-Pinargote, Israel (Unitat Clínica de Tractament Directament Observat de la Tuberculosi (Barcelona))
Casas, Xavier (Unitat Clínica de Tractament Directament Observat de la Tuberculosi (Barcelona))
Santiago, Javier (Unitat Clínica de Tractament Directament Observat de la Tuberculosi (Barcelona))
Sabriá, Fina (Hospital de Sant Joan Despí Moisès Broggi)
Martos, Carmen (Hospital de Sant Joan Despí Moisès Broggi)
Herzmann, Christian (Research Center Borstel. Center for Clinical Studies, Germany)
Ruiz-Cabello, Jesús (IKERBASQUE, Basque Foundation for Science)
Domínguez, José (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia)

Data:	2020
Resum:	Despite efforts to improve tuberculosis (TB) detection, limitations in access, quality and timeliness of diagnostic services in low- and middle-income countries are challenging for current TB diagnostics. This study aimed to identify and characterise a metabolic profile of TB in urine by high-field nuclear magnetic resonance (NMR) spectrometry and assess whether the TB metabolic profile is also detected by a low-field benchtop NMR spectrometer. We included 189 patients with tuberculosis, 42 patients with pneumococcal pneumonia, 61 individuals infected with latent tuberculosis and 40 uninfected individuals. We acquired the urine spectra from high and low-field NMR. We characterised a TB metabolic fingerprint from the Principal Component Analysis. We developed a classification model from the Partial Least Squares-Discriminant Analysis and evaluated its performance. We identified a metabolic fingerprint of 31 chemical shift regions assigned to eight metabolites (aminoadipic acid, citrate, creatine, creatinine, glucose, mannitol, phenylalanine, and hippurate). The model developed using low-field NMR urine spectra correctly classified 87. 32%, 85. 21% and 100% of the TB patients compared to pneumococcal pneumonia patients, LTBI and uninfected individuals, respectively. The model validation correctly classified 84. 10% of the TB patients. We have identified and characterised a metabolic profile of TB in urine from a high-field NMR spectrometer and have also detected it using a low-field benchtop NMR spectrometer. The models developed from the metabolic profile of TB identified by both NMR technologies were able to discriminate TB patients from the rest of the study groups and the results were not influenced by anti-TB treatment or TB location. This provides a new approach in the search for possible biomarkers for the diagnosis of TB.
Ajuts:	Agencia Estatal de Investigación SAF2017-84494-C2-1-R Ministerio de Economía y Competitividad PI13/01546 Ministerio de Economía y Competitividad PI16/01912
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Publicat a:	Scientific reports, Vol. 10 (december 2020) , ISSN 2045-2322

DOI: 10.1038/s41598-020-78999-4
PMID: 33339845

13 p, 2.4 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut d'Investigació en Ciencies de la Salut Germans Trias i Pujol (IGTP)
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