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Research Papers

Fiber evanescent wave spectroscopy using the mid-infrared provides useful fingerprints for metabolic profiling in humans

[+] Author Affiliations
Marie-Laure Anne

UMR-CNRS 6226, Campus de Beaulieu/Equipe Verres et Céramiques, University of Rennes 1, Sciences chimiques de Rennes, Rennes, 35042, France

Caroline Le Lan

University Hospital Pontchaillou, Liver Disease Unit and UMR-INSERM U991, CHRU Pontchaillou, Rennes, 35033, France

Valérie Monbet

Applied Statistics Laboratory, Bretagne Sud University, Vannes, 56000, France

Catherine Boussard-Plédel

UMR-CNRS 6226, Campus de Beaulieu/Equipe Verres et Céramiques, University of Rennes 1, Sciences chimiques de Rennes, Rennes, 35042, France

Martine Ropert

Department of Biochemistry and UMR-INSERM U991, University Hospital Pontchaillou, Rennes, 35033, France

Olivier Sire

Laboratoire d’Ingénérie des Matériaux de Bretagne, Université Européenne de Bretagne Sud, Vannes, 53000, France

Michel Pouchard, Christine Jard

Health Appraisal Center, Caisse Primaire d'Assurance Maladie, Rennes, 35000, France

Jacques Lucas, Jean Luc Adam

UMR-CNRS 6226, Campus de Beaulieu/Equipe Verres et Céramiques, University of Rennes 1, Sciences chimiques de Rennes, Rennes, 35042, France

Pierre Brissot

University Hospital Pontchaillou, Liver Disease Unit and UMR-INSERM U991, CHRU Pontchaillou, Rennes, 35033, France

Bruno Bureau

UMR-CNRS 6226, Campus de Beaulieu/Equipe Verres et Céramiques, University of Rennes 1, Sciences chimiques de Rennes, , Rennes, 35042, France

Olivier Loréal

UMR-INSERM U991, University of Rennes 1, IFR 140, CHRU Pontchaillou, Rennes, 35033, France

J. Biomed. Opt. 14(5), 054033 (October 30, 2009). doi:10.1117/1.3253319
History: Received March 20, 2009; Revised July 18, 2009; Accepted August 14, 2009; Published October 30, 2009
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Fiber evanescent wave spectroscopy (FEWS) explores the mid-infrared domain, providing information on functional chemical groups represented in the sample. Our goal is to evaluate whether spectral fingerprints obtained by FEWS might orientate clinical diagnosis. Serum samples from normal volunteers and from four groups of patients with metabolic abnormalities are analyzed by FEWS. These groups consist of iron overloaded genetic hemochromatosis (GH), iron depleted GH, cirrhosis, and dysmetabolic hepatosiderosis (DYSH). A partial least squares (PLS) logistic method is used in a training group to create a classification algorithm, thereafter applied to a test group. Patients with cirrhosis or DYSH, two groups exhibiting important metabolic disturbances, are clearly discriminated from control groups with AUROC values of 0.94±0.05 and 0.90±0.06, and sensibility/specificity of 8684% and 8787%, respectively. When pooling all groups, the PLS method contributes to discriminate controls, cirrhotic, and dysmetabolic patients. Our data demonstrate that metabolic profiling using infrared FEWS is a possible way to investigate metabolic alterations in patients.

Figures in this Article
© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

Marie-Laure Anne ; Caroline Le Lan ; Valérie Monbet ; Catherine Boussard-Plédel ; Martine Ropert, et al.
"Fiber evanescent wave spectroscopy using the mid-infrared provides useful fingerprints for metabolic profiling in humans", J. Biomed. Opt. 14(5), 054033 (October 30, 2009). ; http://dx.doi.org/10.1117/1.3253319


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