Publications by authors named "M Di Vita"

Background: Alzheimer's Disease (AD) is a neurodegenerative disorder characterized by the accumulation of pathological proteins and synaptic dysfunction. This study aims to investigate the molecular and functional differences between human induced pluripotent stem cells (hiPSCs) derived from patients with sporadic AD (sAD) and age-matched controls (healthy subjects, HS), focusing on their neuronal differentiation and synaptic properties in order to better understand the cellular and molecular mechanisms underlying AD pathology.

Methods: Skin fibroblasts from sAD patients (n = 5) and HS subjects (n = 5) were reprogrammed into hiPSCs using non-integrating Sendai virus vectors.

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Background: Esophageal perforation or postoperative leak after esophageal surgery remain a life-threatening condition. The optimal management strategy is still unclear.

Aim: To determine clinical outcomes and complications of our 15-year experience in the multidisciplinary management of esophageal perforations and anastomotic leaks.

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: Unlike liver metastases, the role of surgery in colorectal cancer lung-limited metastases (CCLLM) is not yet established, and data are still poor. We performed a retrospective analysis to evaluate the impact of surgery on the management of CCLLM. : We retrospectively analyzed patients who received surgery for CCLLM at our Institution from January 2010 to June 2019.

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Article Synopsis
  • - This review examines how semantic memory disorders might indicate the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) by analyzing various markers related to the semantic network.
  • - The markers assessed include performance on semantic fluency tasks, discrepancies between semantic and phonemic fluency, and specific word-level features reflecting semantic system degradation.
  • - Results suggest that while these markers are often impaired in MCI patients who eventually develop AD, their deterioration isn’t always predictable or linear, advocating for a multi-marker approach to better understand and predict AD progression.
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