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Background: Groove pancreatitis (GP) is a form of pancreatitis that affects the pancreaticoduodenal groove area, which lies between the head of the pancreas, the second part of the duodenum and the distal bile duct, presenting as abdominal pain and gastric outlet obstruction. In this study, we present the clinical and radiological characteristics of individuals diagnosed with groove pancreatitis at our center and discuss the use of a conservative treatment approach in managing GP.

Methods: The data of patients with groove pancreatitis treated at our center between January 2012 and December 2021 was analyzed.

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Current and Emerging Therapies for Lysosomal Storage Disorders.

Drugs

January 2025

Lysosomal Storage Disorders Unit, Royal Free London NHS Foundation Trust, University College London, London, NW3 2QG, UK.

Lysosomal storage disorders (LSDs) are rare inherited metabolic disorders characterized by defects in the function of specific enzymes responsible for breaking down substrates within cellular organelles (lysosomes) essential for the processing of macromolecules. Undigested substrate accumulates within lysosomes, leading to cellular dysfunction, tissue damage, and clinical manifestations. Clinical features vary depending on the degree and type of enzyme deficiency, the type and extent of substrate accumulated, and the tissues affected.

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Objectives: To investigate the clinical and laboratory features of Sjögren's syndrome-associated autoimmune liver disease (SS-ALD) patients and identify potential risk and prognostic factors.

Methods: SS patients with or without ALD, who visited Tongji Hospital between the years 2011 and 2021 and met the 2012 American College of Rheumatology (ACR) classification criteria for Sjögren's syndrome, were retrospectively enrolled. The clinical and laboratory data of the enrolled patients, including autoimmune antibodies, were collected and analyzed with principal component analysis, correlation analysis, LASSO regression, and Cox regression.

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Predicting fall parameters from infant skull fractures using machine learning.

Biomech Model Mechanobiol

January 2025

Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.

When infants are admitted to the hospital with skull fractures, providers must distinguish between cases of accidental and abusive head trauma. Limited information about the incident is available in such cases, and witness statements are not always reliable. In this study, we introduce a novel, data-driven approach to predict fall parameters that lead to skull fractures in infants in order to aid in determinations of abusive head trauma.

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This study aimed to identify shared gene expression related to circadian rhythm disruption in polycystic ovary syndrome (PCOS) and non-alcoholic fatty liver disease (NAFLD) to discover common diagnostic biomarkers. Visceral fat RNA samples were collected from 12 PCOS and 14 non-PCOS patients, a sample size representing the clinical situation and sufficient to capture PCOS gene expression profiles. Along with liver transcriptome profiles from NAFLD patients, these data were analyzed to identify crosstalk circadian rhythm-related genes (CRRGs) between the diseases.

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