Publications by authors named "O REPETTO"

Article Synopsis
  • Macrophages play a crucial role in the immune response within the tumor environment of colorectal cancer (CRC), and their unique properties can be harnessed to create targeted nanoparticles for treatment.
  • Lipid nanovesicles (LNVs) were developed using membrane proteins from differentiated THP-1 cells, resulting in two types: T-LNVs and M1-LNVs, both loaded with the cancer drug doxorubicin (DOXO).
  • M1-LNVs demonstrated greater effectiveness in targeting and killing cancer cells compared to T-LNVs, showing promise for precision medicine in cancer therapy with reduced side effects.
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Objectives: The aim of the study was to culture vital salivary gland organoids obtained through labial or parotid biopsy of primary Sjögren's syndrome (pSS) patients in order to evaluate their morphological and functional features in basal condition and after stimulation with Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) activator forskolin and phosphodiesterase 4 (PDE4) inhibitor apremilast, their in vitro regenerative capacity and the immune-histological resemblance with original tissue.

Methods: Salivary gland tissues from five pSS patients were processed to obtain vital organoids; swelling assay and cell proliferation tests were performed after forskolin and apremilast application. Immunochemistry evaluation on original salivary gland tissue and corresponding organoids was performed, and secretomics analysis was conducted to assess their functional status.

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Gastric cancer (GC) is a highly malignant disease affecting humans worldwide and has a poor prognosis. Most GC cases are detected at advanced stages due to the cancer lacking early detectable symptoms. Therefore, there is great interest in improving early diagnosis by implementing targeted prevention strategies.

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In this study, we aimed to assess the accuracy of the proposed novel, noninvasive serum DSC test in predicting the risk of gastric cancer before the use of upper endoscopy. To validate the DSC test, we enrolled two series of individuals living in Veneto and Friuli-Venezia Giulia, Italy (n = 53 and n = 113, respectively), who were referred for an endoscopy. The classification used for the DSC test to predict gastric cancer risk combines the coefficient of the patient's age and sex and serum pepsinogen I and II, gastrin 17, and anti- immunoglobulin G concentrations in two equations: Y1 and Y2.

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