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New insights into hidradenitis suppurativa diagnosis via salivary infrared biosignatures: A pilot study
Author(s) -
Derruau Stéphane,
Gobinet Cyril,
Untereiner Valérie,
Sockalingum Ganesh D.,
Nassif Aude,
Viguier Manuelle,
Piot Olivier,
Lorimier Sandrine
Publication year - 2021
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.202000327
Subject(s) - hidradenitis suppurativa , linear discriminant analysis , dermatology , medicine , medical diagnosis , disease , pathology , artificial intelligence , computer science
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.