Gene Expression of Endocannabinoid System in Episodic and Chronic Migraine Patients

Migraine is a neurovascular disease whose pathophysiology is far from being completely clarified. This is mainly due to the complex mechanisms that underlie migraine attack as well as its recurrence. The endocannabinoid system (ES) is a complex signalling system involved in different biological processes (e.g. neuronal activity, pain sensation and immune functions) and it plays a crucial role in the maintenance of body homeostasis. The ES components include the endogenous lipids, the most studied ones being N-arachidonoylethanolamide (AEA) and 2-arachidonoylglycerol (2-AG), their metabolic enzymes and at least two cannabinoid receptors (CB1 and CB2). The biosynthesis of AEA mainly occurs by N-acylphosphatidylethanolamide-phospholipase D (NAPE-PLD), whereas 2-AG is produced through the action of diacylglycerol lipase (DAGL). AEA is metabolized by fatty acid amide hydrolase (FAAH) and 2-AG mainly by monoacylglycerol lipase (MAGL). Alterations in gene expression of ES components may involve various cell types, multiple catabolic pathways and the generation of active metabolites via epigenetic mechanisms, under both physiological and pathological conditions. CB genes, for instance, may interact with different transcriptional factors, many of which are related to DNA methylation and histone post-translational modifications. A dysfunctional ES has been associated to numerous disorders including migraine. The ES, indeed, modulates multiple activities and neuromodulators/neurotransmitters that play a crucial role in migraine pathogenesis. ES is also implicated in the descending modulation of the trigeminovascular nociceptive transmission from the brainstem afferents. Previous studies from the Laboratory of Neurophysiology of Integrative Autonomic Systems, Headache Science Centre, IRCCS Mondino Foundation, Pavia (Italy), using the migraine-specific animal model based on nitroglycerin administration in rat, demonstrated the existence of interactions between the ES and pain mediation. In particular, the investigators showed a key role for AEA and for FAAH-regulated AEA activity in the processing of trigeminal nociceptive signals. AEA inhibits neurogenic dural vasodilatation, as well as calcitonin gene-related peptide-induced and nitric oxide-induced dural vessel dilation, an activity that is reversed by CB1 antagonism. The interaction between the ES and migraine pain is also suggested by clinical observations. FAAH activity was higher in platelets of women with episodic migraine (EM) to suggest a more marked degradation of AEA. Subjects with chronic migraine (CM) and medication overuse (MO) showed an altered endocannabinoid metabolism not only in platelets, but also in the CSF. Although the above clinical findings are scattered and replicated, their re-consideration in the light of more recent data from the increasing pre-clinical evidence prompt the need to investigate in more depth the role of ES in migraine pathophysiology. Several studies suggest that changes in ES components detected in peripheral blood mononuclear cells (PBMCs) are reliable indicators of a central dysfunction of the ES in different neurological diseases. For instance, in patients with Parkinson disease or multiple sclerosis, increased CSF levels of AEA were associated with a reduction in the activity and protein content of FAAH in PBMCs, which is indicative of an increased AEA tone. AEA levels were elevated in the CSF and in the blood of schizophrenic subjects, with a significant drop in AEA blood levels and in mRNA transcripts of CB2 and FAAH in PBMCs following clinical remission. The aim of this study, was the identification of specific functional patterns of ES activity in subjects with migraine. To this end, the investigators performed a thorough evaluation of multiple peripheral components of the ES (gene expression, protein expression and DNA methylation) in PBMCs of representative samples of subjects with EM without aura, CM-MO and in healthy controls (CT). Twenty-five subjects with EM, 26 with CM-MO and 24 CT were enrolled in the headache center of the IRCCS Mondino Foundation of Pavia (Italy). The study was approved by the local Ethics Committee and all subjects enrolled signed a written informed consent. Blood samples (20ml) were collected within ethylenediamine tetra-acetic acid (EDTA) containing tubes from participants. Blood samples were diluted in 1:1 ratio with phosphate buffer saline 1X (PBS 1X) (Sigma). Diluted blood samples were slowly loaded onto Ficoll separating solution (15ml) (Sigma) and centrifuged at 800 g without brake for 30 min at room temperature. PBMCs accumulated as the middle white monolayer, were washed twice in sterile PBS 1X and centrifuged at 300 g for 15 min. For each sample, a batch of PBMCs was used for RNA or DNA extraction and another one for flow-cytometer analysis. In the PBMCs isolated from the subjects in the 3 study groups the investigators assayed: * CB1 and CB2 protein expression; * expression of the following genes: CB receptors, FAAH, NAPE-PLD, MAGL and DAGL * DNA methylation of ES components. To determine the relative level of CB1 and CB2 protein expression in PBMCs, the investigators used flow-cytometry with a FACS Canto flow-cytometer (Becton-Dickenson). After isolation, cells (100000 per reaction) were stained using antibodies against CD45 (BD Biosciences, 1:50), CB1 (R\&D system, 1:50) and CB2 receptors (Cayman Chemical, 1:30); a total of 10000 events were counted in windows gated for the intersection of CD45 staining with CB1 and CB2. Total RNA from PBMCs was isolated using standard procedure (Zymo Research) and RNA quality was assessed using a nanodrop spectrophotometer (Nanodrop™ Thermo Fisher Scientific); cDNA was generated using the iScript cDNA Synthesis kit (Biorad) following the supplier's instructions. Gene expression of CB receptors, FAAH, NAPE-PLD, MAGL and DAGL was analyzed using the Fast Eva Green supermix (BIO-RAD). Ubiquitin (UBC), whose expression remained constant in all experimental groups, was used as housekeeping gene. The amplification was performed with a light Cycler 480 Instrument rt-PCR Detection System (Roche) following the supplier's instructions. All samples were assayed in triplicate and gene expression levels were calculated according to 2-∆Ct = 2- (Ct gene - Ct housekeeping gene) formula by using Ct values. Since PBMCs contain the full complement of epigenetic enzymes found in most tissues, including neurons and peripheral nucleated cells, the investigators evaluated the role of DNA methylation in the regulation of ES gene transcription in all the enrolled subjects. DNA was extracted from whole blood using QIAmp DNA Blood Mini Kit (Qiagen) and its concentration was determined by NanoDrop quantification (NanoDrop Techologies, Thermofisher). Arrays preparation and data analysis were performed by Genomix4Life srl (Baronissi, Italy). High-quality DNA (500 ng) was bisulfite converted using EZ DNA methylation kit (Zymo Research, Irvine, CA, USA). Bisulfite converted DNA (200ng) was used for analysis of whole-genome methylation, using the HumanMethylation 450 K BeadChip (Illumina, San Diego, CA, USA), which contains 485 577 probes covering 21 231 (99%) RefSeq genes. In brief, bisulfite converted DNA was whole-genome amplified for 20 h followed by end-point fragmentation. Fragmented DNA was precipitated, denatured and hybridised to the BeadChips for 20 h at 48 °C. The BeadChips were washed and the hybridised primers were extended and labelled before scanning the BeadChips using the Illumina iScan system. GenomeStudio software (version 2011.1; Illumina Inc.) was used for the extraction of DNA methylation signals from scanned arrays. The methylation level for each cytosine was expressed as a beta value calculated as the fluorescence intensity ratio of the methylated to unmethylated versions of the probes: beta values ranged between 0 (unmethylated) and 1 (methylated). The annotation relating to CGIs uses the following categorisation: 'shore', each of the 2-kb sequences flanking a CGI; 'shelf', each of the 2-kb sequences next to a shore; 'open sea', DNA not included in any of the previous sequences or in CGIs 4. TSS200 and TSS1500 indicate the region between position -200 bp and -1500 bp from the TSS, respectively. The significant methylation difference between two given loci is indicated by a delta-beta value and determined with GenomeStudio Methylation Module using Illumina custom algorithm for calculating DiffScores (DiffScore⩽-30.0 (≈ pval \<0.001)=hypo-methylation; DiffScore⩾30.0 (≈ p val\<0.001)=hyper-methylation).