Cannabidiol (CBD), a phytocannabinoid with pleiotropic effects, exhibits complex mechanisms of action that remain incompletely understood, particularly its role as an allosteric modulator of G protein-coupled receptor (GPCR) heteromers. Among these, the adenosine A-cannabinoid CB receptor heteromer (AR-CBR) is a functionally relevant complex implicated in diverse physiological processes. This study aimed to characterize the modulatory effects of CBD on AR-CBR heteromers.
View Article and Find Full Text PDFThis study employs a machine learning approach to identify a small-molecule-based signature capable of predicting Alzheimer's disease (AD). Utilizing metabolomics data from the plasma of a well-characterized cohort of 94 AD patients and 62 healthy controls; metabolite levels were assessed using the platform. Data preprocessing involved removing low-quality samples, selecting relevant biochemical groups, and normalizing metabolite data based on demographic variables such as age, sex, and fasting time.
View Article and Find Full Text PDFEpigenetic alterations are key contributors to Alzheimer's disease (AD), driving age-related cognitive decline. This study explores the combined neuroprotective effects of G9a histone methyltransferase inhibition (via UNC0642) and cannabinoid receptor activation (CB1R: ACEA; CB2R: JWH133) in AD models. We used HEK-293T cells and hippocampal neurons to demonstrate that G9a inhibition selectively enhances CB1R-mediated ERK/cAMP signaling.
View Article and Find Full Text PDFBackground: Cannabidiol (CBD), the second most abundant phytocannabinoid in Cannabis sativa, has garnered significant interest due to its non-psychoactive nature and diverse receptor interactions.
Methods: This study employs in vitro and in vivo methodologies to validate CBD's potential as a treatment for Alzheimer's disease (AD) by addressing key hallmarks of the condition and promoting neuroprotective effects on spatial memory.
Results: Our findings demonstrate CBD's ability to decrease pTau and Aβ aggregation and to mitigate their axonal transport between cortical and hippocampal neurons.
Clin Chem Lab Med
July 2025
Objectives: Human tear analysis holds promise for biomarker discovery, but its clinical utility is hindered by the lack of standardized reference values, limiting interindividual comparisons. This study aimed at developing a protocol for normalizing metabolomic data from human tears, enhancing its potential for biomarker identification.
Methods: Tear metabolomic profiling was conducted on 103 donors (64 females, 39 males, aged 18-82 years) without ocular pathology, using the AbsoluteIDQ™ p180 Kit for targeted metabolomics.
J Crit Care
June 2025
ACS Pharmacol Transl Sci
February 2025
Neuroinflammation is widely recognized as a key pathological hallmark of Alzheimer's disease (AD). Recently, inhibiting soluble epoxide hydrolase (sEH) has emerged as a promising therapeutic strategy for AD. sEH plays a pivotal role in neuroinflammation by hydrolyzing epoxyeicosatrienoic acids (EETs), which have anti-inflammatory and neuroprotective properties, into pro-inflammatory dihydroepoxyeicosatrienoic acids (DHETs).
View Article and Find Full Text PDFNPJ Parkinsons Dis
November 2024
Neural Regen Res
September 2025
Br J Pharmacol
July 2025
Membranes (Basel)
April 2024
Bioluminescence and fluorescence resonance energy transfer (BRET and FRET) together with the proximity ligation method revealed the existence of G-protein-coupled receptors, Ionotropic and Receptor tyrosine kinase heterocomplexes, e.g., A2AR-D2R, GABAA-D5R, and FGFR1-5-HT1AR heterocomplexes.
View Article and Find Full Text PDFAlterations in olfactory functions are proposed as possible early biomarkers of neurodegenerative diseases. Parkinson's and Alzheimer's diseases manifest olfactory dysfunction as a symptom, which is worth mentioning. The alterations do not occur in all patients, but they can serve to rule out neurodegenerative pathologies that are not associated with small deficits.
View Article and Find Full Text PDFThis paper aimed at devising an intelligence-based method to select compounds that can distinguish between open-angle glaucoma patients, type 2 diabetes patients, and healthy controls. Taking the concentration of 188 compounds measured in the aqueous humour (AH) of patients and controls, linear discriminant analysis (LDA) was used to identify the right combination of compounds that could lead to accurate diagnosis. All possibilities, using the leave-one-out approach, were considered through ad hoc programming and in silico massive data production and statistical analysis.
View Article and Find Full Text PDFFluids Barriers CNS
December 2023