Publications by authors named "L M Cristiano"

The anatomy of the sciatic nerve allows it to be blocked at different levels using various anesthetic approaches. However, for several reasons, performing these approaches may be challenging or disadvantageous in specific categories of patients, particularly in obese patients. The objective of this brief technical report is to describe a new technical approach to sciatic nerve block, designed to simplify the procedure for certain categories of patients and less experienced practitioners.

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Colorectal cancer (CRC) is a major public health concern and identifying prognostic molecular biomarkers can help stratify patients based on risk profiles, thus enabling personalized medicine. Epitranscriptomic modifications play a relevant role in controlling gene expression, N6-methyladenosine (m6A) regulators play crucial roles in cancer progression, but their clinical significance in CRC cancer has thus far not been elucidated. Thus, we aimed to examine by immunohistochemical techniques and RT-qPCR, protein levels and RNAs expression of m6A writers (METTL3, WTAP) and eraser (FTO) in a cohort of 10 patients affected by CRC.

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Article Synopsis
  • Low-grade endotoxemia, caused by lipopolysaccharide (LPS), is detected in COVID-19 patients, potentially promoting thrombosis through a pro-inflammatory and pro-coagulant state.
  • The study measured various biomarkers in 175 COVID-19 patients and 50 healthy controls, finding significantly elevated levels of markers like sNOX2-dp and D-dimer in COVID-19 patients, especially those with acute respiratory distress syndrome (ARDS).
  • Results suggest that factors like impaired gut barrier function, high NOX2 activation, and low albumin may lead to low-grade endotoxemia, increasing the risk of thrombotic events in COVID-19 patients.
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Background: Magnetic resonance imaging (MRI) quantification of intramuscular fat accumulation is a responsive biomarker in neuromuscular diseases. Despite emergence of automated methods, manual muscle segmentation remains an essential foundation. We aimed to develop a training programme for new observers to demonstrate competence in lower limb muscle segmentation and establish reliability benchmarks for future human observers and machine learning segmentation packages.

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