Cannabinoid CB1 and CB2 Receptors, and Monoacylglycerol Lipase Gene Expression Alterations in the Basal Ganglia of Patients with Parkinson's Disease.
Francisco NavarreteM Salud García-GutiérrezAuxiliadora Aracil-FernándezJosé L LanciegoJorge ManzanaresPublished in: Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics (2019)
Previous studies suggest that the endocannabinoid system plays an important role in the neuropathological basis of Parkinson's disease (PD). This study was designed to detect potential alterations in the cannabinoid receptors CB1 (CB1r) and CB2 (A isoform, CB2Ar), and in monoacylglycerol lipase (MAGL) gene expression in the substantia nigra (SN) and putamen (PUT) of patients with PD. Immunohistochemical studies were performed to identify precise CB2r cellular localization in the SN of control and PD patients. To ensure the validity and reliability of gene expression data, the RNA integrity number (RIN) was calculated. CB1r, CB2Ar, and MAGL gene expressions were evaluated by real-time polymerase chain reaction (real-time PCR) using Taqman assays. Immunohistochemical experiments with in situ proximity ligation assay (PLA) were used to detect the precise cellular localization of CB2r in neurons, astrocytes, and/or microglia. All RIN values from control and PD postmortem brain samples were > 6. CB1r gene expression was unchanged in the SN but significantly higher in the PUT of patients with PD. CB2Ar gene expression was significantly increased (4-fold) in the SN but decreased in the PUT, whereas MAGL gene expression was decreased in the SN and increased in the PUT. Immunohistochemical analyses revealed that CB2r co-localize with astrocytes but not with neurons or microglial cells in the SN. The results of the present study suggest that CB1r, CB2r, and MAGL are closely related to the neuropathological processes of PD. Therefore, the pharmacological modulation of these targets could represent a new potential therapeutic tool for the management of PD.
Keyphrases
- gene expression
- dna methylation
- chronic kidney disease
- inflammatory response
- newly diagnosed
- end stage renal disease
- cell death
- ejection fraction
- high throughput
- climate change
- genome wide
- signaling pathway
- real time pcr
- electronic health record
- neuropathic pain
- white matter
- machine learning
- deep learning
- endoplasmic reticulum stress
- blood brain barrier
- transcription factor
- lps induced
- functional connectivity
- pi k akt
- resting state