Sclerosing Polycystic Adenosis of Tongue.

Sclerosing polycystic adenosis (SPA) is a rare benign lesion of the salivary glands which appears histologically similar to sclerosing adenosis and fibrocystic disease of the mammary gland. To date, 67 cases of SPA have been reported in the literature, with the lesion arising in the minor salivary glands in only 9. The present report describes the 10th case of SPA. The patient was a 39-year-old Brazilian man who presented with an asymptomatic nodule on the ventral surface of the tongue. Based on a clinical diagnosis of benign salivary gland neoplasm, an excisional biopsy of the lesion was performed. Histopathological examination showed lobular proliferation of ductal and acinar elements surrounded by a fibrosclerotic stroma. Many of the ductal structures exhibited cystic dilatation and were surrounded by periductal fibrosis, which is consistent with SPA findings. No recurrence of the disease was observed after a 5-year follow-up. A literature review is also discussed, focusing on both the etiology of SPA and the treatment options available.

Infrared spectroscopy as a predictive tool for the severity of COVID-19 using patient's saliva: A strategy to avoid hyperinflammation.

Discriminate the severity level of COVID-19 disease is still a challenge. Here we investigate the capability of micro-infrared absorption spectroscopy (micro-FTIR) to probe COVID-19 severity level and predict hyperinflammation, correlating the assigned vibrational data to relevant biomolecules related to the immune system. Saliva of 184 patients was analysed by ELISA assay (Hepcidin) and micro-FTIR. Vibrational bands related to IgM and IgA can discriminate healthy from Severe individuals (sensitivity ≥ 0.749, specificity ≥ 0.945) and are less effective in discriminating Mild or Moderate individuals from the Severe group (sensitivity ≥ 0.628, specificity ≥ 0.867). Analysis of the second derivative of spectra probed increased levels of IL-6 in the saliva a key additional information for the degree of severity prediction. Because the model discriminates all the groups regarding the Severe group, it predicts an intense state of inflammation based on FTIR analysis. It is a powerful tool for predicting hyperinflammation conditions related to SARS-CoV-2 infection and may be an ally in implementing drugs or therapeutic approaches to manage COVID-19 in the Severe stage in healthcare facilities.