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Cannabidiol (CBD) has gained a lot of interest in recent years for its purported medicinal properties. CBD has been investigated for the treatment of anxiety, depression, epilepsy, neuroinflammation, and pain. Recently there has been an interest in CBD as a possible treatment for age-related disorders such as Alzheimer's disease and related disorders (ADRD). Here we tested the hypothesis that chronic CBD administration would improve learning and memory in the SAMP8 mouse model of Alzheimer's disease. SAMP8 mice aged 11 months (at the start of the study) were administered vehicle or CBD (3 or 30 mg/Kg) daily via oral gavage for 2 months. Vehicle-treated young SAMP8 mice (age 3 months at the start of the study) served as unimpaired controls. After 30 days of treatment (4 and 12 months of age), learning and memory, activity, anxiety, strength and dexterity were assessed. High dose CBD treatment significantly improved learning and memory of the 12-month-old mice in the T maze. Novel object recognition memory was also improved by CBD in aged CBD treated mice. Aged CBD treated mice also displayed less anxiety in the elevated plus maze test compared to controls. However, activity and strength levels were similar between groups. Biochemical analysis revealed decreased markers of oxidative stress, providing a possible mechanism by which CBD treatment impacts learning, memory, and anxiety. These results highlight the potential use of CBD as a therapeutic for age related cognitive impairment and dementia.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12352845 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0296586 | PLOS |
Nature
September 2025
Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, USA.
Nature
September 2025
Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Loss-of-function variants in the lipid transporter ABCA7 substantially increase the risk of Alzheimer's disease, yet how they impact cellular states to drive disease remains unclear. Here, using single-nucleus RNA-sequencing analysis of human brain samples, we identified widespread gene expression changes across multiple neural cell types associated with rare ABCA7 loss-of-function variants. Excitatory neurons, which expressed the highest levels of ABCA7, showed disrupted lipid metabolism, mitochondrial function, DNA repair and synaptic signalling pathways.
View Article and Find Full Text PDFNeurosci Lett
September 2025
Zonguldak Bülent Ecevit University Faculty of Medicine, Department of Physiology, Zonguldak, Turkey.
Stress triggers neuroendocrine and physiological changes, often resulting in cognitive impairments and heightened anxiety. This study aims to investigate the effects of acute stress and epinephrine administration on learning, memory, and anxiety-like behavior, as well as their impact on proinflammatory cytokines, neurogranin expression, and brain energy metabolism. In this study, three experimental groups were established, each comprising eight rats: control, acute stress, and acute stress combined with epinephrine.
View Article and Find Full Text PDFJ Affect Disord
September 2025
The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China. Electronic address:
Background: Transcranial direct current stimulation (tDCS), a non-invasive brain stimulation method, can improve depressive symptoms by applying weak electric direct currents to the scalp. This study aimed to evaluate the efficacy and safety of adjunctive tDCS for adolescents with first-episode major depressive disorder (FE-MDD).
Methods: This double-blind, randomized, sham-controlled trial (RCT) was conducted between January 3, 2024, and August 24, 2024.
Comput Methods Programs Biomed
September 2025
eXiT Research Group, Universitat de Girona (UdG), EPS - Edifici P-IV, Carrer Universitat de Girona, 6, Girona, 17003, Catalunya, Spain.
Background And Objective: Hybrid forecasting methods aim to overcome the limitations of classical statistical approaches and deep learning models. While statistical methods provide interpretability, they often lack predictive power. Conversely, deep learning models achieve high accuracy but act as "black boxes.
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