Adiposity and inflammation markers explain mostly part of the plasma zonulin variation in Brazilian adults with overweight/obesity: A cross-sectional analysis from Brazilian nuts study.

Objective: This study evaluated intestinal permeability according to plasma zonulin and its association with adiposity, inflammation, cardiometabolic risk, liver function, and intestinal health markers in adults with overweight/obesity.

Methodology: This study is a cross-sectional analysis using baseline data from the Brazilian Nut Study, which involved 123 participants (93 women, age 33.2 ± 8.

Prevalence of Oropharyngeal Dysphagia in Children: A Systematic Review and Meta-Analysis.

Objective: This study aims to determine the prevalence of oropharyngeal dysphagia (OD) in children, as diagnosed through instrumental evaluation, and to identify associated risk factors.

Methods: A systematic search was conducted across six databases (Embase, LILACS, LIVIVO, PubMed/MEDLINE, Scopus, and Web of Science), as well as gray literature sources (ASHA, Google Scholar, and ProQuest). Studies involving children (under 12 years of age), diagnosed using instrumental methods such as videofluoroscopic swallow study (VFSS) or fiberoptic endoscopic evaluation of swallowing (FEES), were included.

Short-time collective dynamics of an ionic liquid: A computer simulation study with non-polarizable and polarizable models, and ab initio molecular dynamics.

Molecular dynamics (MD) simulation is used to study the intermolecular dynamics in the THz frequency range of the ionic liquid 1-ethyl-3-methylimidazolium bis(fluorosulfonyl)imide, [C2C1im][FSI]. Non-polarizable and polarizable models for classical MD simulation are compared using as quality criteria ab initio molecular dynamics (AIMD) and experimental data from far-infrared (FIR) spectroscopy and previously published data of inelastic x-ray scattering (IXS). According to data from IXS spectroscopy, incorporating polarization in the classical MD simulation has relatively little effect on the dispersion curve (excitation frequency vs wavevector) for longitudinal acoustic modes.

Immunohistochemical Expression of Programmed Death-Ligand 1 and Cytotoxic T-Lymphocyte Antigen-4 in Canine Cutaneous Mast Cell Tumours.

Mast cell tumours (MCTs) are the most frequent cutaneous neoplasia of the dog, and they have very variable biological behaviour and survival times. Surgery is still the best treatment, and despite the several adjuvant therapies described, many cases are very aggressive and resistant to these treatments making it urgent to find new therapeutic targets. Nowadays, immunotherapy targeting immune checkpoints has been described as a complementary treatment for several human cancers, but it is still very scarcely studied in veterinary medicine.

Personalized deep learning auto-segmentation models for adaptive fractionated magnetic resonance-guided radiation therapy of the abdomen.

Background: Manual contour corrections during fractionated magnetic resonance (MR)-guided radiotherapy (MRgRT) are time-consuming. Conventional population models for deep learning auto-segmentation might be suboptimal for MRgRT at MR-Linacs since they do not incorporate manual segmentation from treatment planning and previous fractions.

Purpose: In this work, we investigate patient-specific (PS) auto-segmentation methods leveraging expert-segmented planning and prior fraction MR images (MRIs) to improve auto-segmentation on consecutive treatment days.