1. New insights into hidradenitis suppurativa diagnosis via salivary infrared biosignatures: A pilot study
- Author
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Stéphane Derruau, Cyril Gobinet, Aude Nassif, Sandrine Lorimier, Ganesh D. Sockalingum, Olivier Piot, Valérie Untereiner, M. Viguier, Biospectroscopie Translationnelle - EA 7506 (BIOSPECT), and Université de Reims Champagne-Ardenne (URCA)
- Subjects
medicine.medical_specialty ,[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph] ,General Physics and Astronomy ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Pilot Projects ,[SDV.BC.BC]Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC] ,01 natural sciences ,General Biochemistry, Genetics and Molecular Biology ,010309 optics ,[SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB] ,0103 physical sciences ,Humans ,Medicine ,General Materials Science ,Hidradenitis suppurativa ,Liquid biopsy ,ComputingMilieux_MISCELLANEOUS ,Principal Component Analysis ,business.industry ,Inflammatory skin disease ,010401 analytical chemistry ,General Engineering ,Discriminant Analysis ,General Chemistry ,medicine.disease ,Linear discriminant analysis ,Dermatology ,Hidradenitis Suppurativa ,0104 chemical sciences ,3. Good health ,[SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics ,[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic ,business ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,Biomarkers - Abstract
Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease which can lead to a prolonged physical disability. HS diagnosis is exclusively clinical with the absence of biomarkers. Our study aims at assessing the HS-diagnostic potential of infrared spectroscopy from saliva, as a biofluid reflecting the body's pathophysiological state. Infrared spectra from 127 patients (57 HS and 70 non-HS) were processed by multivariate methods: principal component analysis coupled with Kruskal-Wallis or Mann-Whitney tests to identify discriminant spectral wavenumbers and linear discriminant analysis to evaluate the performances of HS-diagnostic approach. Infrared features, mainly in the 1300 cm-1 -1600 cm-1 region, were identified as discriminant for HS and prediction models revealed diagnostic performances of about 80%. Tobacco and obesity, two main HS risk factors, do not seem to alter the infrared diagnosis. This pilot study shows the potential of salivary "liquid biopsy" associated to vibrational spectroscopy to develop a personalized medical approach for HS patients' management.
- Published
- 2020