title: Fiber evanescent wave spectroscopy using the mid-infrared provides useful fingerprints for metabolic profiling in humans.
abstract: 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.
authors.affiliation: UMR-CNRS 6226, Campus de Beaulieu/Equipe Verres et Ceramiques, University of Rennes 1, Sciences chimiques de Rennes, Rennes, 35042, France.
authors.forename: Marie-Laure
authors.initials: ML
authors.lastname: Anne
authors.forename: Caroline
authors.initials: C
authors.lastname: Le Lan
authors.forename: Valérie
authors.initials: V
authors.lastname: Monbet
authors.forename: Catherine
authors.initials: C
authors.lastname: Boussard-Plédel
authors.forename: Martine
authors.initials: M
authors.lastname: Ropert
authors.forename: Olivier
authors.initials: O
authors.lastname: Sire
authors.forename: Michel
authors.initials: M
authors.lastname: Pouchard
authors.forename: Christine
authors.initials: C
authors.lastname: Jard
authors.forename: Jacques
authors.initials: J
authors.lastname: Lucas
authors.forename: Jean Luc
authors.initials: JL
authors.lastname: Adam
authors.forename: Pierre
authors.initials: P
authors.lastname: Brissot
authors.forename: Bruno
authors.initials: B
authors.lastname: Bureau
authors.forename: Olivier
authors.initials: O
authors.lastname: Loréal
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D015415:Biomarkers / Q000097:blood*; D001774:Blood Chemical Analysis / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D005336:Fiber Optic Technology / Q000379:methods; D006801:Humans; D008297:Male; D008659:Metabolic Diseases / Q000097:blood* / Q000175:diagnosis*; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013055:Spectrophotometry, Infrared / Q000379:methods*; D055815:Young Adult
chemical_list: D015415:Biomarkers