Publications by authors named "M Freschi"

Article Synopsis
  • * C57BL/6N mice were fed a high-fat diet and received fecal microbiota from either telmisartan-treated lean mice or control obese mice to analyze the impact on their weight and gut microbiota composition for 8 weeks.
  • * Results showed that the microbiota from telmisartan-treated mice influenced the gut composition of the recipient mice and led to slight weight-reducing effects, indicating that telmisartan alters gut microbiota in a way that contributes to weight management, independent of its direct effects on
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Neuroinflammation is a critical aspect of various neurodegenerative diseases, such as Alzheimer's and Parkinson's diseases. This study investigates the anti-neuroinflammatory properties of oleocanthal and its oxidation product, oleocanthalic acid, using the BV-2 cell line activated with lipopolysaccharide. Our findings revealed that oleocanthal significantly inhibited the production of pro-inflammatory cytokines and reduced the expression of inflammatory genes, counteracted oxidative stress induced by lipopolysaccharide, and increased cell phagocytic activity.

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Purpose: To investigate clinical and radiological differences between kidney metastases to the lung (RCCM +) and metachronous lung cancer (LC) detected during follow-up in patients surgically treated for Renal Cell Carcinoma (RCC).

Methods: cM0 surgically-treated RCC who harbored a pulmonary mass during follow-up were retrospectively scrutinized. Univariate logistic regression assessed predictive features for differentiating between LC and RCCM + .

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Neuroinflammation, which is mainly triggered by microglia, is a key contributor to multiple neurodegenerative diseases. Natural products, and in particular L., due to its richness in phytochemical components, represent ideal candidates to counteract neuroinflammation.

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This study proposed a new workflow for co-registering prostate PET images from a dual-tracer PET/MRI study with histopathological images of resected prostate specimens. The method aims to establish an accurate correspondence between PET/MRI findings and histology, facilitating a deeper understanding of PET tracer distribution and enabling advanced analyses like radiomics. To achieve this, images derived by three patients who underwent both [Ga]Ga-PSMA and [Ga]Ga-RM2 PET/MRI before radical prostatectomy were selected.

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