Beyond weight loss: exploring bile acid modulations after bariatric surgery and their impact on type 2 diabetes across 5 years.

Objective: This study aimed to explore the dynamic role of bile acids (BAs) in metabolic improvements following bariatric surgery, specifically comparing the effects of silastic ring laparoscopic Roux-en-Y gastric bypass (SR-LRYGB) and laparoscopic sleeve gastrectomy (LSG) on BA composition and clinical parameters over a 5-year period.

Methods: A cohort of patients with obesity and type 2 diabetes underwent SR-LRYGB or LSG. Principal component analysis was performed to evaluate BAs and clinical outcomes.

Comprehensive transcriptome profiling in sepsis induced by pyogenic liver abscess.

Sepsis is a critical condition characterized by a dysregulated immune response to infection, leading to widespread inflammation, tissue damage, organ failure, and often death. It is a leading cause of morbidity and mortality, particularly in intensive care units, due to its complex pathophysiology involving immune dysregulation, coagulation abnormalities, and metabolic disturbances. Pyogenic liver abscess (PLA) is a significant cause, especially in developing countries where its incidence is rising.

Magnetic resonance study of visceral, subcutaneous, liver and pancreas fat changes after 12 weeks intermittent fasting in obese participants with prediabetes.

Background: It is not clear whether there are differences in proportions of fat loss from visceral:subcutaneous depots by probiotic supplementation, ethnicity or sex during weight loss; or whether visceral/pancreatic fat depot changes are related to changes in HbA1c. Our objective is to investigate whether weight loss from different fat depots is related to these factors during weight loss achieved by intermittent fasting.

Method: Prediabetes participants on 5:2 intermittent fasting were randomized 1:1 to either daily probiotic or placebo for 12 weeks.

A fat fraction phantom for establishing new convolutional neural network to determine the pancreatic fat deposition.

The determination of fat fraction based on Magnetic Resonance Imaging (MRI) requires extremely accurate data reconstruction for the assessment of pancreatic fat accumulation in medical diagnostics and biological research. In this study, the signal model of the oil and water emulsion was created with a 3.0 T field strength.

An Adapted Deep Convolutional Neural Network for Automatic Measurement of Pancreatic Fat and Pancreatic Volume in Clinical Multi-Protocol Magnetic Resonance Images: A Retrospective Study with Multi-Ethnic External Validation.

Pancreatic volume and fat fraction are critical prognoses for metabolic diseases like type 2 diabetes (T2D). Magnetic Resonance Imaging (MRI) is a required non-invasive quantification method for the pancreatic fat fraction. The dramatic development of deep learning has enabled the automatic measurement of MR images.

Evaluation of Ethnic Variations in Visceral, Subcutaneous, Intra-Pancreatic, and Intra-Hepatic Fat Depositions by Magnetic Resonance Imaging among New Zealanders.

Anthropometric indices, such as body mass index (BMI), waist circumference (WC), and waist to height ratio (WHtR), have limitations in accurately predicting the pathophysiology of diabetes mellitus, cardiovascular diseases, and metabolic syndrome due to ethnic differences in fat distribution. Recent studies showed that the visceral adipose tissue (VAT) deposition and fat content of internal organs, most notably intra-hepatic and intra-pancreatic fat, has emerged as a more important parameter. In this study, we aimed to assess the coordination between the traditional anthropometric indices and the various fat depositions within different ethnicities in New Zealand.