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New insights into hidradenitis suppurativa diagnosis via salivary infrared biosignatures: A pilot study

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 ref...

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Published in:Journal of biophotonics 2021-03, Vol.14 (3), p.e202000327-n/a
Main Authors: Derruau, Stéphane, Gobinet, Cyril, Untereiner, Valérie, Sockalingum, Ganesh D., Nassif, Aude, Viguier, Manuelle, Piot, Olivier, Lorimier, Sandrine
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description 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. Hidradenitis suppurativa (HS) is a disabling multifactorial skin disease, largely unknown, whose diagnosis is based on clinical symptoms and specific patient examination. Developing a diagnostic tool for early personalized care of HS patient is needed. This pilot study shows the potential of saliva based infrared spectroscopy (IR) to identify spectral signatures specific to HS, contributing to the clinical implementation of the concept of “liquid biopsy.”
doi_str_mv 10.1002/jbio.202000327
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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. 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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. 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subjects Biochemistry, Molecular Biology
Biological Physics
Biomarkers
Biophysics
Biopsy
Cancer
Cell Behavior
Cellular Biology
Diagnosis
diagnostic biosignatures
Diagnostic systems
Discriminant analysis
Engineering Sciences
Fourier transform infrared spectroscopy
hidradenitis suppurativa
Infrared analysis
Infrared spectra
Infrared spectroscopy
Life Sciences
Optics
Patients
PCA‐LDA
Photonic
Physics
Prediction models
Principal components analysis
Risk analysis
Risk factors
Saliva
Signal and Image processing
Skin diseases
Spectrum analysis
Subcellular Processes
Tobacco
title New insights into hidradenitis suppurativa diagnosis via salivary infrared biosignatures: A pilot study
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