by Izquierdo-García, José L, Nin, Nicolás, Ruiz-Cabello, Jesus, Rojas, Yeny, de Paula, Marta, López-Cuenca, Sonia, Morales, Luis, Martínez-Caro, Leticia, Fernández-Segoviano, Pilar, Esteban, Andrés and Lorente, José A
Abstract:
BACKGROUND:The search for reliable diagnostic biomarkers of sepsis remains necessary. Assessment of global metabolic profiling using quantitative nuclear magnetic resonance (NMR)-based metabolomics offers an attractive modern methodology for fast and comprehensive determination of multiple circulating metabolites and for defining the metabolic phenotype of sepsis. OBJECTIVE:To develop a novel NMR-based metabolomic approach for diagnostic evaluation of sepsis. METHODS:Male Sprague-Dawley rats (weight 325-375 g) underwent cecal ligation and puncture (n = 14, septic group) or sham procedure (n = 14, control group) and 24 h later were euthanized. Lung tissue, bronchoalveolar lavage (BAL) fluid, and serum samples were obtained for (1)H NMR and high-resolution magic-angle spinning analysis. Unsupervised principal components analysis was performed on the processed spectra, and a predictive model for diagnosis of sepsis was constructed using partial least-squares discriminant analysis. RESULTS:NMR-based metabolic profiling discriminated characteristics between control and septic rats. Characteristic metabolites changed markedly in septic rats as compared with control rats: alanine, creatine, phosphoethanolamine, and myoinositol concentrations increased in lung tissue; creatine increased and myoinositol decreased in BAL fluid; and alanine, creatine, phosphoethanolamine, and acetoacetate increased whereas formate decreased in serum. A predictive model for diagnosis of sepsis using these metabolites classified cases with sensitivity and specificity of 100%. CONCLUSIONS:NMR metabolomic analysis is a potentially useful technique for diagnosis of sepsis. The concentrations of metabolites involved in energy metabolism and in the inflammatory response change in this model of sepsis.
Reference:
A metabolomic approach for diagnosis of experimental sepsis. (Izquierdo-García, José L, Nin, Nicolás, Ruiz-Cabello, Jesus, Rojas, Yeny, de Paula, Marta, López-Cuenca, Sonia, Morales, Luis, Martínez-Caro, Leticia, Fernández-Segoviano, Pilar, Esteban, Andrés and Lorente, José A), In Intensive Care Medicine, Springer-Verlag, volume 37, 2011.
Bibtex Entry:
@article{IzquierdoGarcia:2011ivf,
author = {Izquierdo-Garc{'i}a, Jos{'e} L and Nin, Nicol{'a}s and Ruiz-Cabello, Jesus and Rojas, Yeny and de Paula, Marta and L{'o}pez-Cuenca, Sonia and Morales, Luis and Mart{'i}nez-Caro, Leticia and Fern{'a}ndez-Segoviano, Pilar and Esteban, Andr{'e}s and Lorente, Jos{'e} A},
title = {{A metabolomic approach for diagnosis of experimental sepsis.}},
journal = {Intensive Care Medicine},
year = {2011},
volume = {37},
number = {12},
pages = {2023--2032},
month = dec,
publisher = {Springer-Verlag},
affiliation = {Instituto de Estudios Biofuncionales, Universidad Complutense de Madrid, Madrid, Spain.},
doi = {10.1007/s00134-011-2359-1},
pmid = {21976186},
language = {English},
rating = {0},
date-added = {2018-03-16T12:56:19GMT},
date-modified = {2018-03-27T17:08:20GMT},
abstract = {BACKGROUND:The search for reliable diagnostic biomarkers of sepsis remains necessary. Assessment of global metabolic profiling using quantitative nuclear magnetic resonance (NMR)-based metabolomics offers an attractive modern methodology for fast and comprehensive determination of multiple circulating metabolites and for defining the metabolic phenotype of sepsis.

OBJECTIVE:To develop a novel NMR-based metabolomic approach for diagnostic evaluation of sepsis.

METHODS:Male Sprague-Dawley rats (weight 325-375 g) underwent cecal ligation and puncture (n = 14, septic group) or sham procedure (n = 14, control group) and 24 h later were euthanized. Lung tissue, bronchoalveolar lavage (BAL) fluid, and serum samples were obtained for (1)H NMR and high-resolution magic-angle spinning analysis. Unsupervised principal components analysis was performed on the processed spectra, and a predictive model for diagnosis of sepsis was constructed using partial least-squares discriminant analysis.

RESULTS:NMR-based metabolic profiling discriminated characteristics between control and septic rats. Characteristic metabolites changed markedly in septic rats as compared with control rats: alanine, creatine, phosphoethanolamine, and myoinositol concentrations increased in lung tissue; creatine increased and myoinositol decreased in BAL fluid; and alanine, creatine, phosphoethanolamine, and acetoacetate increased whereas formate decreased in serum. A predictive model for diagnosis of sepsis using these metabolites classified cases with sensitivity and specificity of 100%.

CONCLUSIONS:NMR metabolomic analysis is a potentially useful technique for diagnosis of sepsis. The concentrations of metabolites involved in energy metabolism and in the inflammatory response change in this model of sepsis.},
url = {http://link.springer.com/10.1007/s00134-011-2359-1},
uri = {url{papers3://publication/doi/10.1007/s00134-011-2359-1}}
}