98%
921
2 minutes
20
Seizures are made up of the coordinated activity of networks of neurons, suggesting that control of neurons in the pathologic circuits of epilepsy could allow for control of the disease. Optogenetics has been effective at stopping seizure-like activity in non-human disease models by increasing inhibitory tone or decreasing excitation, although this effect has not been shown in human brain tissue. Many of the genetic means for achieving channelrhodopsin expression in non-human models are not possible in humans, and vector-mediated methods are susceptible to species-specific tropism that may affect translational potential. Here we demonstrate adeno-associated virus-mediated, optogenetic reductions in network firing rates of human hippocampal slices recorded on high-density microelectrode arrays under several hyperactivity-provoking conditions. This platform can serve to bridge the gap between human and animal studies by exploring genetic interventions on network activity in human brain tissue.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11881784 | PMC |
http://dx.doi.org/10.1038/s41593-024-01782-5 | DOI Listing |
Diabetologia
September 2025
Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.
This review article, developed by the EASD Global Council, addresses the growing global challenges in diabetes research and care, highlighting the rising prevalence of diabetes, the increasing complexity of its management and the need for a coordinated international response. With regard to research, disparities in funding and infrastructure between high-income countries and low- and middle-income countries (LMICs) are discussed. The under-representation of LMIC populations in clinical trials, challenges in conducting large-scale research projects, and the ethical and legal complexities of artificial intelligence integration are also considered as specific issues.
View Article and Find Full Text PDFExp Brain Res
September 2025
School of Information Science and Technology, Yunnan Normal University, Kunming, 650500, China.
This study explores how differences in colors presented separately to each eye (binocular color differences) can be identified through EEG signals, a method of recording electrical activity from the brain. Four distinct levels of green-red color differences, defined in the CIELAB color space with constant luminance and chroma, are investigated in this study. Analysis of Event-Related Potentials (ERPs) revealed a significant decrease in the amplitude of the P300 component as binocular color differences increased, suggesting a measurable brain response to these differences.
View Article and Find Full Text PDFQual Life Res
September 2025
Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan, 250012, Shandong, China.
Purpose: The study aimed to assess the interconnection of quality of life (QoL) variables and identify key areas for which interventions could improve QoL among men who have sex with men (MSM) living with HIV on antiretroviral therapy (ART).
Methods: A cross-sectional study was conducted in Jinan of Shandong Province, between October to December 2020. Undirected network analyses were conducted to examine and visualize the interconnections between QoL variables among MSM living with HIV.
Drugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
View Article and Find Full Text PDFMol Cell Biochem
September 2025
Peking University Third Hospital, Beijing, China.
Cardiovascular-Kidney-Metabolic (CKM) syndrome, a newly defined systemic disorder, is characterized by the pathological interplay among diabetes, chronic kidney disease (CKD), and cardiovascular disease (CVD). Recent studies have identified chronic inflammation not only as a central mediator in the pathological progression of CKM syndrome but also as a pivotal molecular hub that drives coordinated damage across multiple organ systems. Mechanistic investigations have revealed that aberrant activation of signaling pathways such as NF-κB, Wnt, PI3K-AKT, JAK-STAT, and PPAR constitutes a complex inflammatory regulatory network.
View Article and Find Full Text PDF