Publications by authors named "F Grassi"
Article Synopsis
- Eating disorders are severe conditions that require weight restoration and psychotherapy, but many patients often refuse treatment, raising concerns about their ability to make decisions regarding their care.
- A study involving 45 women at a psychiatric unit in Rome assessed various psychiatric symptoms and decision-making capacity, revealing that 67% of participants exhibited low decision-making capacity, with even higher rates among those with Anorexia Nervosa and Bulimia Nervosa.
- Specific psychological symptoms can either impair or enhance a patient's ability to make informed decisions, indicating that clinicians should carefully evaluate their patients' decision-making capacity to provide appropriate support.
Article Synopsis
- ! Antibiotics are given to 20%-30% of pregnant women, yet their impact on newborn immune development is not well understood, leading to increased susceptibility to sepsis in offspring of treated mothers.
- ! Newborn mice from antibiotic-treated mothers showed lower levels of immunoglobulin A (IgA) in breast milk and feces, leading to a weakened gut immune response and increased risks of gut bacteria entering the bloodstream.
- ! Restoring IgA production through treatments or using breast milk from untreated mothers improved immune profiles and offered protection against sepsis in pups, emphasizing the importance of breastfeeding in mitigating antibiotic effects.
The human gut includes plasma cells (PCs) expressing immunoglobulin A1 (IgA1) or IgA2, two structurally distinct IgA subclasses with elusive regulation, function, and reactivity. We show here that intestinal IgA1+ and IgA2+ PCs co-emerged early in life, comparably accumulated somatic mutations, and were enriched within short-lived CD19+ and long-lived CD19- PC subsets, respectively. IgA2+ PCs were extensively clonally related to IgA1+ PCs and a subset of them presumably emerged from IgA1+ precursors.
View Article and Find Full Text PDFFractures are one of the most common reasons of admission to emergency department affecting individuals of all ages and regions worldwide that can be misdiagnosed during radiologic examination. Accurate and timely diagnosis of fracture is crucial for patients, and artificial intelligence that uses algorithms to imitate human intelligence to aid or enhance human performs is a promising solution to address this issue. In the last few years, numerous commercially available algorithms have been developed to enhance radiology practice and a large number of studies apply artificial intelligence to fracture detection.
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