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High-fat and high-carbohydrate diets worsen the mouse brain susceptibility to damage produced by enterohemorrhagic Shiga toxin 2.
Heliyon
November 2024
Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Fisiología y Biofísica ''Houssay" (IFIBIO), Laboratorio de Neurofisiopatología, Facultad de Medicina, Paraguay 2155 Piso 7, 1121, Ciudad de Buenos Aires, Argentina.
Article Synopsis
- The study investigates how different diets (high-fat, high-carbohydrate, or a combination) affect the severity of damage caused by Shiga toxin 2 in the brains of mice, focusing on areas related to motor activity.
- Mice fed high-fat and high-carbohydrate diets experienced greater harm from Shiga toxin 2, with the worst outcomes noted in those on a combined diet, including neurodegeneration and impaired motor functions.
- The findings suggest that poor nutrition may worsen neurological damage in patients affected by Shiga toxin, indicating that diet can play a critical role in the severity of toxin-induced effects.
Evaluation of antihypertensive medications use and survival in patients with ovarian cancer: a population-based retrospective cohort study.
BMC Womens Health
March 2024
Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Background: Despite declining mortality in most countries and in Lithuania, ovarian cancer burden has remained high. Studies have indicated that antihypertensive medications use may help to improve ovarian cancer survival, however findings remain controversial. The aim of the study was to analyse the association between post-diagnosis antihypertensive medications intake and cancer-specific survival in ovarian cancer patients.
View Article and Find Full Text PDFProgramming techniques for improving rule readability for rule-based information extraction natural language processing pipelines of unstructured and semi-structured medical texts.
Health Informatics J
April 2023
Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Hannover, Germany.
Background: Extraction of medical terms and their corresponding values from semi-structured and unstructured texts of medical reports can be a time-consuming and error-prone process. Methods of natural language processing (NLP) can help define an extraction pipeline for accomplishing a structured format transformation strategy.
Objectives: In this paper, we build an NLP pipeline to extract values of the classification of malignant tumors (TNM) from unstructured and semi-structured pathology reports and import them further to a structured data source for a clinical study.
New frontiers in e-health. Policies and the Doctor@Home case study.
Prof Inferm
April 2022
Centro di Riferimento Oncologico di Aviano (CRO), Aviano (PN) Italy.
Introduction: In recent years, and even more following the need for social distancing generated by the global COVID-19 pandemic, e-health has become an increasingly widespread reality in clinical practice, especially for those clinicians operating in the front-line, like nurses. Its growing importance has been followed by increasing attention both by the literature as well as in the generation of specific rules aimed at regulating the phenomenon.
Methods: A regulatory review of the literature aims to outline the current regulatory framework relating to telemedicine.
Acute severe hepatitis outbreak in children: A perfect storm. What do we know, and what questions remain?
Front Pharmacol
November 2022
Department of Laboratory Medicine, Section of Clinical Microbiology, Region Skåne, Lund, Sweden.
During the first half of 2022, the World Health Organization reported an outbreak of acute severe hepatitis of unknown aetiology (AS-Hep-UA) in children, following initial alerts from the United Kingdom (UK) where a cluster of cases was first observed in previously well children aged <6 years. Sporadic cases were then reported across Europe and worldwide, although in most countries incidence did not increase above the expected baseline. There were no consistent epidemiological links between cases, and microbiological investigations ruled out known infectious causes of hepatitis.
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