The mid-infrared spectroscopy: A novel non-invasive diagnostic tool for NASH diagnosis in severe obesity

Autor: Anty, Rodolphe, Morvan, Marie, Le Corvec, Maëna, Canivet, Clémence, Patouraux, Stéphanie, Gugenheim, Jean, Bonnafous, Stéphanie, Bailly-Maitre, Béatrice, Sire, Olivier, Tariel, Hugues, Bernard, Jérôme, Piche, Thierry, Loréal, Olivier, Aron-Wisnewsky, Judith, Clément, Karine, Tran, Albert, Iannelli, Antonio, Gual, Philippe
Přispěvatelé: Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Institut de Recherche Mathématique de Rennes (IRMAR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), DIAFIR, Institut de Recherche Dupuy de Lôme (IRDL), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Centre National de la Recherche Scientifique (CNRS), Nutrition, Métabolismes et Cancer (NuMeCan), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Nutrition et obésités: approches systémiques (UMR-S 1269) (Nutriomics), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), ANR-18-CE14-0019,INFLAMMASYK,Etude de la signalisation SYK dans les maladies inflammatoires chroniques(2018), PELLOUX-GERVAIS, Véronique
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: JHEP Reports
JHEP Reports, Vol 1, Iss 5, Pp 361-368 (2019)
JHEP Reports Innovation in Hepatology
JHEP Reports Innovation in Hepatology, 2019, 1 (5), pp.361-368. ⟨10.1016/j.jhepr.2019.09.005⟩
ISSN: 2589-5559
DOI: 10.1016/j.jhepr.2019.09.005⟩
Popis: Background & Aims There is an urgent medical need to develop non-invasive tests for non-alcoholic steatohepatitis (NASH). This study evaluates the diagnostic performance of an innovative model based on mid-infrared (MIR) spectroscopy for the diagnosis of NASH. Methods Severely obese patients who underwent a bariatric procedure at the University Hospital of Nice, France (n = 395) were prospectively recruited. The clinico-biological characteristics were measured prior to surgery. Liver biopsies were collected during the surgical procedure and assessed by a pathologist. A training group (316 patients, NASH: 16.8%) and a validation group (79 patients, NASH: 16.5%) were randomly defined. MIR spectra were acquired by fiber evanescent wave spectroscopy, using chalcogenide glass fiber optic sensors and a spectrometer. This absorption spectroscopic technique delivers a spectrum that identifies the molecular composition of a sample, defining a patient's metabolic fingerprint. Results The areas under the receiver operating curve (AUROC) for the diagnosis of NASH were 0.82 and 0.77 in the training and validation groups, respectively. The best threshold was 0.15, which was associated with a sensitivity of 0.75 and 0.69, and a specificity of 0.72 and 0.76. Negative predictive values of 0.94 and 0.93 and positive predictive values of 0.35 and 0.36, as well as correctly classified patient rates of 72% and 75% were obtained in the training and validation groups, respectively. A composite model using aspartate aminotransferase level, triglyceride level and waist circumference alongside the MIR spectra led to an increase in AUROC (0.88 and 0.84 for the training and validations groups, respectively). Conclusions MIR spectroscopy provides good sensitivity and negative predictive values for NASH screening in patients with severe obesity. Lay summary There is an urgent need for tools to non-invasively diagnose and monitor non-alcoholic steatohepatitis (NASH). This study evaluates the performance of a new tool for fast NASH diagnosis based on mid-infrared (MIR) spectroscopy. Using serum samples from severely obese patients who underwent a bariatric procedure, which enabled a concomitant liver biopsy to be performed, the MIR spectroscopy model performed well in screening patients for NASH compared to a traditional, histological diagnosis.
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Highlights • There is no validated non-invasive diagnostic tool for NASH in routine care. • NASH follow-up requires a non-invasive diagnostic method. • Using a simple drop of serum, the mid-infrared spectrum captures a patient’s metabolic fingerprint. • A model based on mid-infrared spectroscopy provides efficient NASH screening for patients with severe obesity.
Databáze: OpenAIRE
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