Identification of metabolic biomarkers of chronic vagus nerve stimulation (VNS) in subjects with drug-resistant epilepsy (DRE).

Neuromodulation by means of vagus nerve stimulation (VNS) therapy, reduces seizure frequency and improves quality of life in subjects with drug-resistant epilepsy (DRE), yet its molecular mechanism remains unclear. This study investigates the impact of chronic VNS on lipid bioactive metabolites and fatty acids (FA) in the plasma and red blood cells of seven subjects with DRE. By measuring expression levels of peroxisome proliferator-activated receptor α (PPARα) and sirtuin1 (SIRT1) genes-key regulators in energy and lipid metabolism-and lipid profiles before and after various stages of VNS, this study identifies potential mechanisms by which VNS may reduce seizure frequency. Blood samples collected before VNS device implantation, after acute VNS stimulus, and following gradual intensity increments up to therapeutic levels revealed that VNS increases SIRT1 and PPARα expression and erythrocyte concentrations of PPARα ligands. Additionally, we observe reduced de novo lipogenesis biomarkers in erythrocytes, indicating that VNS may influence systemic lipid and energy metabolism. Our findings suggest that VNS could enhance neuronal function by modulating energy metabolism, thus potentially reducing seizure frequency in subjects with DRE. Future research targeting SIRT1 and PPARα may provide innovative therapeutic strategies for managing DRE. Plain Language Summary: The exact mechanism of VNS is still unknown. This study investigated the effects of VNS Therapy on energetic metabolism, suggesting possible novel biomarkers for DRE subjects and neuromodulation therapies.

Estimated EEG functional connectivity and aperiodic component induced by vagal nerve stimulation in patients with drug-resistant epilepsy.

Background: Vagal nerve stimulation (VNS) improves seizure frequency and quality of life in patients with drug-resistant epilepsy (DRE), although the exact mechanism is not fully understood. Previous studies have evaluated the effect of VNS on functional connectivity using the phase lag index (PLI), but none has analyzed its effect on EEG aperiodic parameters (offset and exponent), which are highly conserved and related to physiological functions. Objective: This study aimed to evaluate the effect of VNS on PLI and aperiodic parameters and infer whether these changes correlate with clinical responses in subjects with DRE. Materials and methods: PLI, exponent, and offset were derived for each epoch (and each frequency band for PLI), on scalp-derived 64-channel EEG traces of 10 subjects with DRE, recorded before and 1 year after VNS. PLI, exponent, and offset were compared before and after VNS for each patient on a global basis, individual scalp regions, and channels and separately in responders and non-responders. A correlation analysis was performed between global changes in PLI and aperiodic parameters and clinical response. Results: PLI (global and regional) decreased after VNS for gamma and delta bands and increased for an alpha band in responders, but it was not modified in non-responders. Aperiodic parameters after VNS showed an opposite trend in responders vs. non-responders: both were reduced in responders after VNS, but they were increased in non-responders. Changes in aperiodic parameters correlated with the clinical response. Conclusion: This study explored the action of VNS therapy from a new perspective and identified EEG aperiodic parameters as a new and promising method to analyze the efficacy of neuromodulation.

Does epilepsy contribute to the clinical phenotype of C9orf72 mutation in fronto-temporal dementia?

C9orf72 mutation is the most common genetic cause of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) worldwide. Recently, several reports of patients with FTD who carried the C9orf72 mutation and also manifested epilepsy have been published, since seizures occur in FTD at a higher rate than in the general population, the possible association between epilepsy and C9orf72 mutation remains to be clarified. In the attempt to understand whether epilepsy contributes to the phenotype of the C9orf72 mutation, we compared epilepsy occurrence in patients with FTD who carried the C9orf72 mutation and those who did not. In our sample of 84 patients with FTD, 7.1% of cases reported epilepsy, with no significant differences between subsamples of patients with FTD stratified according to the presence of the C9orf72 mutation or to family history of FTD/parkinsonism/motor neuron disease. Our findings did not support to the possibility that epilepsy represents a characteristic feature of the C9orf72 mutation, as suggested by recent case reports published in the English literature.

Metabolomics As a Tool for the Characterization of Drug-Resistant Epilepsy.

PURPOSE: Drug resistance is a critical issue in the treatment of epilepsy, contributing to clinical emergencies and increasing both serious social and economic burdens on the health system. The wide variety of potential drug combinations followed by often failed consecutive attempts to match drugs to an individual patient may mean that this treatment stage may last for years with suboptimal benefit to the patient. Given these challenges, it is valuable to explore the availability of new methodologies able to shorten the period of determining a rationale pharmacologic treatment. Metabolomics could provide such a tool to investigate possible markers of drug resistance in subjects with epilepsy. METHODS: Blood samples were collected from (1) controls (C) (n = 35), (2) patients with epilepsy "responder" (R) (n = 18), and (3) patients with epilepsy "non-responder" (NR) (n = 17) to the drug therapy. The samples were analyzed using nuclear magnetic resonance spectroscopy, followed by multivariate statistical analysis. KEY FINDINGS: A different metabolic profile based on metabolomics analysis of the serum was observed between C and patients with epilepsy and also between R and NR patients. It was possible to identify the discriminant metabolites for the three classes under investigation. Serum from patients with epilepsy were characterized by increased levels of 3-OH-butyrate, 2-OH-valerate, 2-OH-butyrate, acetoacetate, acetone, acetate, choline, alanine, glutamate, scyllo-inositol (C < R < NR), and decreased concentration of glucose, lactate, and citrate compared to C (C > R > NR). SIGNIFICANCE: In conclusion, metabolomics may represent an important tool for discovery of differences between subjects affected by epilepsy responding or resistant to therapies and for the study of its pathophysiology, optimizing the therapeutic resources and the quality of life of patients.

The re-organization of functional brain networks in pharmaco-resistant epileptic patients who respond to VNS.

Vagal nerve stimulation (VNS) is a therapeutic add-on treatment for patients with pharmaco-resistant epilepsy. The mechanism of action is still largely unknown. Previous studies have shown that brain network topology during the inter-ictal period in epileptic patients deviates from normal configuration. In the present paper, we investigate the relationship between clinical improvement induced by VNS and alterations in brain network topology. We hypothesize that, as a consequence of the VNS add-on treatment, functional brain network architecture shifts back toward a more efficient configuration in patients responding to VNS. Electroencephalographic (EEG) recordings from ten patients affected by pharmaco-resistant epilepsy were analyzed in the classical EEG frequency bands. The phase lag index (PLI) was used to estimate functional connectivity between EEG channels and the minimum spanning tree (MST) was computed in order to characterize VNS-induced alterations in network topology in a bias-free way. Our results revealed a clear network re-organization, in terms of MST modification, toward a more integrated architecture in patients responding to the VNS. In particular, the results show a significant interaction effect between benefit from VNS (responders/non-responders) and condition (pre/post VNS implantation) in the theta band. This finding suggests that the positive effect induced by VNS add-on treatment in epileptic patients is related to a clear network re-organization and that this network modification can reveal the long debated mechanism of action of VNS. Therefore, MST analysis could be useful in evaluating and monitoring the efficacy of VNS add-on treatment potentially in both epilepsy and psychiatric diseases.

VNS induced desynchronization in gamma bands correlates with positive clinical outcome in temporal lobe pharmacoresistant epilepsy.

The vagus nerve stimulation (VNS) represents a diffuse non-pharmacological low-risk surgical option for epilepsy treatment. The aim of this study is to investigate the correlation between variations of global EEG synchronization and the clinical outcome in pharmacoresistant epileptic subjects implanted with VNS. Ten subjects affected by pharmacoresistant epilepsy were recruited on the basis of a clear-cut successful or unsuccessful outcome of the VNS add-on treatment. After five years from VNS surgery we examined the EEG in five subjects in each group. The investigation was led with the method of the phase lag index (PLI), which allows for the study of the global rate of synchronicity among the EEG signals before and after VNS implantation. The results of this study show that after five years from VNS surgery, in subjects whose seizures show a significant reduction, the desynchronization in the gamma frequency band is statistically decreased in comparison with patients who failed to show variations in the frequency and characteristics of their seizures. The other frequency bands are unaffected. This finding suggests that long lasting variations in gamma band desynchronization can be a new tool in assessing the efficacy of VNS. The possibility that GABA-mediated VNS-induced effects can also play a role in this result is discussed.

GABAB receptor activation exacerbates spontaneous spike-and-wave discharges in DBA/2J mice.

Rich evidence has highlighted that stimulation of gamma-amino-butyric acid (GABA)(B) receptors increases the occurrence of spike-and-wave discharges (SWDs), the electroencephalographic (EEG) landmark of absence epilepsy (AE). Recent findings suggest that the outcomes of GABA(B) activation in vivo are contingent on the chemical characteristics of the agonist. In particular, the endogenous ligand gamma-hydroxybutyrate (GHB) and its precursor gamma-butyro-lactone (GBL) have been shown to elicit different effects than the prototypical GABA(B) agonist baclofen. In view of these premises, the present study was aimed at the characterization of the effects of baclofen (0.5-10 mg/kg, i.p.) and GBL (5-100 mg/kg, i.p.) on the spontaneous SWDs and locomotor activity of DBA/2J mice. While both baclofen and GBL dose-dependently increased SWDs episodes, high doses of the latter (100 mg/kg, i.p.) reduced the occurrence of these phenomena and increased the number of isolated spikes. Interestingly, both compounds elicited a dose-dependent reduction of locomotor activity, in comparison with their vehicle-treated controls. The GABA(B) selective antagonist, SCH50911 (50 mg/kg, i.p.), reversed the changes in SWD occurrence and locomotion induced by baclofen and GBL, but failed to elicit intrinsic effects on either paradigm. These results indicate that GABA(B) receptor signaling might exert differential effects on SWDs in DBA/2J mice.