Dataset Information

Proteomic Profile of Circulating Extracellular Vesicles in the Brain after Δ 9-Tetrahydrocannabinol Inhalation

ABSTRACT: Given the increasing use patterns of cannabis in the US, there is an urgent need to better understand the drug’s effects on central signaling mechanisms. Extracellular vesicles (EVs) have been identified as intercellular signaling mediators that contain a variety of cargo, including proteins. Here, we examined whether the main psychoactive component in cannabis, Δ9-tetrahydrocannabinol (THC), alters EV protein signaling dynamics in the brain. We first conducted in vitro studies which found that THC activates signaling in choroid plexus epithelial cells, resulting in transcriptional upregulation of the cannabinoid 1 receptor and immediate early gene c-fos, in addition to the release of EVs containing RNA cargo. Next, male and female rats were examined for the effects of either acute or chronic exposure to vaped THC on circulating brain EVs. Cerebrospinal fluid was extracted from the brain, and EVs were isolated and processed with label-free quantitative proteomic analyses via high-resolution tandem mass spectrometry. Interestingly, circulating EV-localized proteins were differentially expressed based on acute or chronic THC exposure in a sex-specific manner. Taken together, these findings reveal that THC acts in the brain to differentially modulate circulating EV signaling, thereby providing a novel understanding of how exogenous factors can regulate intercellular communication in the brain.

INSTRUMENT(S): Q Exactive HF-X

ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Cerebrospinal Fluid, Choroid Plexus Epithelial Cell, Choroid Plexus

SUBMITTER: TuKiet Lam

LAB HEAD: TuKiet Lam

PROVIDER: PXD054211 | Pride | 2024-09-12

REPOSITORIES: Pride

ACCESS DATA

Similar Datasets

Project description:Background: Adolescent cannabis use leads to long-lasting behavioral changes involving cognitive and reward processes. However, the underlying molecular mechanisms are not well understood. To address this limitation, we performed gene network analyses using transcriptomic data from mice exposed during adolescence to Δ-9-tetrahydrocannabinol (THC), the major psychoactive component of cannabis. Methods: We injected vehicle or THC in female and male mice during the entire adolescence period. Two weeks following the last exposure, we measured recognition memory, social interaction and anxiety-related behaviors. We generated 120 RNA-seq datasets from 5 brain regions for each mouse. We performed differential gene expression analysis and constructed co-expression networks to identify THC-induced transcriptional alterations at the level of individual genes, gene networks, biological pathways, and cellular specificity. Further, we integrated THC-correlated gene networks with human traits from genome-wide association studies and performed key driver analysis to identify potential regulators of disorder-associated networks. Results: THC impaired cognitive behaviors of mice, with memory being more impacted in females, which coincided with larger transcriptional alterations in the female brain. Gene network analyses identified brain region-, cell type- and sex- specific co-expressed genes (“modules”) dysregulated by THC. THC-induced memory deficits in females were correlated with disruption of gene networks involved in endocannabinoid signaling and inflammation. Additional THC-correlated modules in both sexes involved converging pathways related to dopamine signaling and addiction processes. Moreover, the connectivity map of THC-correlated modules uncovered intra- and inter-region molecular circuitries influenced by THC. Further, modules altered by THC treatment were enriched in genes relevant for human cognition and schizophrenia. Conclusions: These findings provide novel insights concerning the genes, cell types, and pathways underlying persistent behavioral deficits induced by adolescent exposure to THC in a sex-specific manner, and highlight the connection between adolescent cannabis use and neuropsychiatric disorders in humans.

Project description:Background: Acute coronary syndromes (ACS) are associated with aberrant gene expression and epigenetic mechanisms. In particular, de novo DNA methylation is typically linked to gene silencing, but its role in heart disease remains not fully understood. Extracellular vesicles (EVs) are active components in cellular communication for their ability to carry a plethora of signalling biomolecules, thus representing a promising new diagnostic/therapeutic approach in cardiovascular diseases (CVDs). Indeed, there is the need of novel biomarkers for ACS prediction and timely detection. Purpose: We hypothesized that specific epigenetic signals can be carried by EVs. In this regard, we isolated and characterized circulating EVs from ACS patients and evaluated their potential role to influence DNA methylation in target cells. Methods: Circulating EVs were recovered, by ultracentrifugation, from plasma samples of 19 ACS patients and 50 healthy subjects (HS). Nanoparticle tracking analysis (NTA) and western blot (WB) were used to confirm the EVs integrity and purity. Peripheral blood mononuclear cells (PBMCs) of volunteer donors were treated with both ACS and HS derived EVs and genomic DNA was extracted to perform epigenome wide analysis through Reduced Representation Bisulfite Sequencing. ShinyGO, PANTHER, and STRING tools were interrogated to perform GO and PPI network analyses. Flow Cytometry, qRT-PCR, and WB analysis were also performed to evaluate and validate both intra-vesicular and intra-cellular signals. Results: Plasma ACS-derived EVs showed a significant up-regulation of DNA methyltransferases (DNMTs) gene expression levels as compared to HS (P<0.001). Specifically, de novo methylation transcripts, as DNMT3A and DNMT3B were significantly increased in plasma ACS-EVs. DNA methylation analysis of PBMCs from volunteer donors treated with HS- and ACS-derived EVs showed that RNF166 and CCND3 genes resulted the most hyper- and hypo-methylated, respectively, after by ACS-EV treatment. In addition, PPI network analysis specifically evidenced the subnetwork with SRC, as a hub gene, connecting it to NOTCH1, FOXO3, CDC42, IKBKG, RXRA, DGKG, known as important genes already involved in the onset of CVDs. Surprising, other novel genes, BAIAP2, SYP, CHL1, and SHB, which were hypomethylated, were found significantly overexpressed in PBMCs (P<0.005), underlying the fundamental modulating properties of EV cargo in atherosclerosis. Conclusions: These findings support the significant role of ACS plasma-derived EVs, inducing de novo DNA methylation signals, and modulating specific signaling pathways in target cells.

Dataset Information

Proteomic Profile of Circulating Extracellular Vesicles in the Brain after Δ 9-Tetrahydrocannabinol Inhalation

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure