Publications by authors named "L Ris"

Background And Purpose: Slow-acting biogenic amines, such as dopamine, are known to modulate fast neurotransmitters e.g. glutamate.

View Article and Find Full Text PDF

Introduction: Neurogenic lower urinary tract (NLUTD), bowel (NBD), and sexual dysfunction (SD) are commonly observed in patients with (pw) multiple sclerosis (MS) and diminish the patients' quality of life (QoL). This systematic review aim to evaluate and discuss the current algorithms for the management of these issues.

Methods: A systematic review was conducted on the PubMed in June 2024.

View Article and Find Full Text PDF
Article Synopsis
  • Alzheimer's disease (AD) currently has no curative treatment, with existing medications only alleviating symptoms; targeting the enzyme cPLA-IVA may provide a new therapeutic avenue.* -
  • Researchers identified a peptide, PLP25, that inhibits cPLA-IVA using phage display technology and validated its effects on important biomarkers and spatial memory in APP/PS1 mice.* -
  • The study found that PLP25 decreased cPLA-IVA activity and associated amyloid plaques while improving cognitive abilities and receptor expression, suggesting its potential as a treatment for AD.*
View Article and Find Full Text PDF

Microglial cells, as the primary defense line in the central nervous system, play a crucial role in responding to various mechanical signals that can trigger their activation. Despite extensive research on the impact of chemical signaling on brain cells, the understanding of mechanical signaling in microglia remains limited. To bridge this gap, we subjected microglial cells to a singular mechanical stretch and compared their responses with those induced by lipopolysaccharide treatment, a well-established chemical activator.

View Article and Find Full Text PDF

Explainable Artificial Intelligence (xAI) is a rapidly growing field that focuses on making deep learning models interpretable and understandable to human decision-makers. In this study, we introduce xAAEnet, a novel xAI model applied to the assessment of Obstructive Sleep Apnea (OSA) severity. OSA is a prevalent sleep disorder that can lead to numerous medical conditions and is currently assessed using the Apnea-Hypopnea Index (AHI).

View Article and Find Full Text PDF