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.

中文翻译：

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通过唾液红外生物签名诊断尿道化脓性汗腺炎的新见解：一项初步研究

化脓性Hidradenitis（HS）是一种慢性炎症性皮肤病，可导致长时间的身体残疾。HS诊断完全是临床的，没有生物标志物。我们的研究旨在评估唾液中红外光谱作为一种反映人体病理生理状态的生物流体的HS诊断潜力。通过多变量方法处理了来自127位患者（57位HS和70位非HS）的红外光谱：主成分分析结合Kruskal-Wallis或Mann-Whitney测试以鉴定可判别的光谱波数和线性判别分析以评估HS诊断的性能方法。红外特征，主要在1300 cm ^-1 ‐1600 cm ^-1区域被确定为HS的判别式，预测模型显示约80％的诊断性能。烟草和肥胖是HS的两个主要危险因素，似乎并未改变红外诊断。这项初步研究表明，与振动光谱法相关的唾液“液体活检”对于开发用于HS患者管理的个性化医疗方法的潜力。