Epilepsy in neurodegenerative diseases: related drugs and molecular pathways

Epilepsy is a chronic disease of the central nervous system characterized by an electrical imbalance in neurons. It is the second most prevalent neurological disease, with 50 million people affected around the world, and 30% of all epilepsies do not respond to available treatments. Currently, the main hypothesis about the molecular processes that trigger epileptic seizures and promote the neurotoxic effects that lead to cell death focuses on the exacerbation of the glutamate pathway and the massive influx of Ca2+ into neurons by different factors. However, other mechanisms have been proposed, and most of them have also been described in other neurodegenerative diseases, such as Alzheimers disease, Parkinsons disease, Huntingtons disease, or multiple sclerosis. Interestingly, and mainly because of these common molecular links and the lack of effective treatments for these diseases, some antiseizure drugs have been investigated to evaluate their therapeutic potential in these pathologies. Therefore, in this review, we thoroughly investigate the common molecular pathways between epilepsy and the major neurodegenerative diseases, examine the incidence of epilepsy in these populations, and explore the use of current and innovative antiseizure drugs in the treatment of refractory epilepsy and other neurodegenerative diseases.Acknowledges the support of the Spanish Ministry of Science, Innovation and Universities under the grant Juan de la Cierva (FJC2018-036012-I). Authors acknowledge the support of the Instituto de Salud Carlos III (ISCIII) Acción Estratégica en Salud, integrated into the Spanish National R+D+I Plan and financed by ISCIII Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (FEDER “Una manera de hacer Europa”) grant PI17/01474 awarded to M.B. Boada and grant PI19/00335 awarded to M.M.; M.E. acknowledges the support of the Spanish Ministry of Economy and Competitiveness under the project SAF2017- 84283-R, and CIBERNED under project CB06/05/0024. E.B.S. acknowledges the support of the Portuguese Science and Technology Foundation (FCT) for the strategic fund (UIDB/04469/2020). A.R. acknowledges the support of CIBERNED (Instituto de Salud Carlos III (ISCIII)), the EU/EFPIA Innovative Medicines Initiative Joint Undertaking, ADAPTED Grant Nº 115975, from EXIT project, EU Euronanomed3 Program JCT2017 Grant Nº AC17/00100, from PREADAPT project. Joint Program for Neurodegenerative Diseases (JPND) Grant No. AC19/00097, and from grants PI13/02434, PI16/01861 BA19/00020, and PI19/01301. Acción Estratégica en Salud, integrated in the Spanish National RCDCI Plan and financed by Instituto de Salud Carlos III (ISCIII)- Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (FEDER—“Una manera de Hacer Europa”), by Fundación bancaria “La Caixa” and Grífols SA (GR@ACE project)info:eu-repo/semantics/publishedVersio

Nanomedicine-based technologies and novel biomarkers for the diagnosis and treatment of Alzheimer's disease from current to future challenges

Increasing life expectancy has led to an aging population, which has consequently increased the prevalence of dementia. Alzheimer's disease (AD), the most common form of dementia worldwide, is estimated to make up 50--80% of all cases. AD cases are expected to reach 131 million by 2050, and this increasing prevalence will critically burden economies and health systems in the next decades. There is currently no treatment that can stop or reverse disease progression. In addition, the late diagnosis of AD constitutes a major obstacle to effective disease management. Therefore, improved diagnostic tools and new treatments for AD are urgently needed. In this review, we investigate and describe both well-established and recently discovered AD biomarkers that could potentially be used to detect AD at early stages and allow the monitoring of disease progression. Proteins such as NfL, MMPs, p-tau217, YKL-40, SNAP-25, VCAM-1, and Ng BACE are some of the most promising biomarkers because of their successful use as diagnostic tools. In addition, we explore the most recent molecular strategies for an AD therapeutic approach and nanomedicine-based technologies, used to both target drugs to the brain and serve as devices for tracking disease progression diagnostic biomarkers. State-of-the-art nanoparticles, such as polymeric, lipid, and metal-based, are being widely investigated for their potential to improve the effectiveness of both conventional drugs and novel compounds for treating AD. The most recent studies on these nanodevices are deeply explained and discussed in this review.Authors acknowledge the support of the Instituto de Salud Carlos III (ISCIII) Accion Estrategica en Salud, integrated in the Spanish National R+D+I Plan and financed by ISCIII Subdireccion General de Evaluacion and the Fondo Europeo de Desarrollo Regional (FEDER "Una manera de hacer Europa") grant PI17/01474 awarded to Merce Boada and grant PI19/00335 awarded to Marta Marquie; Spanish Ministry of Economy and Competitiveness (SAF201784283-R); Biomedical Research Networking Centre in Neurodegenerative Diseases (CIBERNED, CB06/05/0024); Portuguese Science and Technology Foundation (FCT) for the strategic fund (UIDB/04469/2020) and European Regional Development Funds.info:eu-repo/semantics/publishedVersio

Epilepsy in Neurodegenerative Diseases: Related Drugs and Molecular Pathways

Epilepsy is a chronic disease of the central nervous system characterized by an electrical imbalance in neurons. It is the second most prevalent neurological disease, with 50 million people affected around the world, and 30% of all epilepsies do not respond to available treatments. Currently, the main hypothesis about the molecular processes that trigger epileptic seizures and promote the neurotoxic effects that lead to cell death focuses on the exacerbation of the glutamate pathway and the massive influx of Ca2+ into neurons by different factors. However, other mechanisms have been proposed, and most of them have also been described in other neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, or multiple sclerosis. Interestingly, and mainly because of these common molecular links and the lack of effective treatments for these diseases, some antiseizure drugs have been investigated to evaluate their therapeutic potential in these pathologies. Therefore, in this review, we thoroughly investigate the common molecular pathways between epilepsy and the major neurodegenerative diseases, examine the incidence of epilepsy in these populations, and explore the use of current and innovative antiseizure drugs in the treatment of refractory epilepsy and other neurodegenerative diseases. Keywords: Alzheimer's disease; Huntington's disease; Parkinson's disease; epilepsy; multiple sclerosis; neurodegenerative diseases

Clinicopathological correlates in the frontotemporal lobar degeneration-motor neuron disease spectrum

Amyotrophic lateral sclerosis (ALS) is a devastating motor neuron disease (MND) that shares a common clinical, genetic and pathologic spectrum with frontotemporal dementia (FTD). It is highly heterogeneous in its presentation and features. Up to 50% of patients with MND develop cognitive-behavioural symptoms during the course of the disease, meeting criteria for FTD in 10%-15% of cases. In the absence of a precise biomarker, neuropathology is still a valuable tool to understand disease nosology, reach a definite diagnostic confirmation and help define specific subgroups of patients with common phenotypic, genetic and biomarker profiles. However, few neuropathological series have been published, and the frequency of frontotemporal lobar degeneration (FTLD) in MND is difficult to estimate. In this work we describe a large clinicopathological series of MND patients, analysing the frequency of concurrent FTLD changes and trying to define specific subgroups of patients based on their clinical, genetic and pathological characteristics. We performed an observational, retrospective, multicentre case study. We included all cases meeting neuropathological criteria for MND from the Neurological Tissue Bank of the FRCB-IDIBAPS-Hospital Clínic Barcelona Biobank between 1994 and 2022, regardless of their last clinical diagnosis. While brain donation is encouraged in all patients, it is performed in very few, and representativeness of the cohort might not be precise for all patients with MND. We retrospectively reviewed clinical and neuropathological data and describe the main clinical, genetic and pathogenic features, comparing neuropathologic groups between MND with and without FTLD changes and aiming to define specific subgroups. We included brain samples from 124 patients, 44 of whom (35.5%) had FTLD neuropathologic features (i.e. FTLD-MND). Pathologic TDP-43 aggregates were present in 93.6% of the cohort and were more extensive (higher Brettschneider stage) in those with concurrent FTLD (P < 0.001). Motor symptom onset was more frequent in the bulbar region in FTLD-MND cases than in those with isolated MND (P = 0.023), with no differences in survival. We observed a better clinicopathological correlation in the MND group than in the FTLD-MND group (93.8% versus 61.4%; P < 0.001). Pathogenic genetic variants were more common in the FTLD-MND group, especially C9orf72. We describe a frequency of FTLD of 35.5% in our series of neuropathologically confirmed cases of MND. The FTLD-MND spectrum is highly heterogeneous in all aspects, especially in patients with FTLD, in whom it is particularly difficult to define specific subgroups. In the absence of definite biomarkers, neuropathology remains a valuable tool for a definite diagnosis, increasing our knowledge in disease nosology

Proteogenomic Evaluation of Cerebrospinal Fluid in Alzheimer's Disease

BACKGROUND: Alzheimer's disease (AD) is a complex disorder with a strong genetic component, yet many genetic risk factors remain unknown. Integrating genome-wide association studies (GWAS) and high-throughput proteomic platforms is a useful strategy to evaluate protein quantitative trait loci (pQTLs) and to detect candidate genes and pathways involved in AD. Due to the novelty of these techniques, the identification of reliable protein measures through a comprehensive quality control is mandatory. METHOD: We researched the cerebrospinal fluid (CSF) proteome using the SOMAscan 7k (7289 proteins), and the Olink Explore (2943 proteins) platform in the Ace Alzheimer Center Barcelona CSF Cohort. To assess reproducibility and reliability of proteomic measures, we analysed 1) intra-platform correlation of two independent SOMAscan assays using two aliquots of the same sample, and 2) inter-platform correlation between SOMAscan and Olink techniques. We also explored associations of highly reliable proteins with the AD Polygenic risk score (PRS) and the conversion to AD dementia. Additionally, we have performed an extensive pQTLs mapping of the SOMAscan platform and analysed pQTLs of significant proteins linked to disease progression. RESULT: Our results revealed 2469 proteins with high intra-platform correlation (rho≥0.5), selected as candidates for further analysis. Moreover, over 600 proteins demonstrated strong inter-platform correlation, reinforcing their robustness. Extending our analysis to the entire CSF cohort (n=1322), we identified 85 proteins (Padj.<0.05) associated with the AD-PRS. Additionally, 93 significant proteins were linked with conversion to AD dementia. Strikingly, these conversion-associated proteins exhibited 89 genome-wide significant pQTLs in the genome, with more than 47% of the genetic signals localized within the APOE-rs429358 locus. CONCLUSION: Our findings emphasize the importance of reliability assessment of highly multiplexed proteomic panels. Using robust measures, we identified significant proteins related to AD genetic risk and disease progression. These insights deepen the AD pathogenesis understanding, expand future research and therapeutic interventions

Plasma extracellular vesicles reveal early molecular differences in amyloid positive patients with early-onset mild cognitive impairment

In the clinical course of Alzheimer's disease (AD) development, the dementia phase is commonly preceded by a prodromal AD phase, which is mainly characterized by reaching the highest levels of Aβ and p-tau-mediated neuronal injury and a mild cognitive impairment (MCI) clinical status. Because of that, most AD cases are diagnosed when neuronal damage is already established and irreversible. Therefore, a differential diagnosis of MCI causes in these prodromal stages is one of the greatest challenges for clinicians. Blood biomarkers are emerging as desirable tools for pre-screening purposes, but the current results are still being analyzed and much more data is needed to be implemented in clinical practice. Because of that, plasma extracellular vesicles (pEVs) are gaining popularity as a new source of biomarkers for the early stages of AD development. To identify an exosome proteomics signature linked to prodromal AD, we performed a cross-sectional study in a cohort of early-onset MCI (EOMCI) patients in which 184 biomarkers were measured in pEVs, cerebrospinal fluid (CSF), and plasma samples using multiplex PEA technology of Olink© proteomics. The obtained results showed that proteins measured in pEVs from EOMCI patients with established amyloidosis correlated with CSF p-tau181 levels, brain ventricle volume changes, brain hyperintensities, and MMSE scores. In addition, the correlations of pEVs proteins with different parameters distinguished between EOMCI Aβ( +) and Aβ(-) patients, whereas the CSF or plasma proteome did not. In conclusion, our findings suggest that pEVs may be able to provide information regarding the initial amyloidotic changes of AD. Circulating exosomes may acquire a pathological protein signature of AD before raw plasma, becoming potential biomarkers for identifying subjects at the earliest stages of AD development

Correlations between the NMR Lipoprotein Profile, APOE Genotype, and Cholesterol Efflux Capacity of Fasting Plasma from Cognitively Healthy Elderly Adults

Cholesterol efflux capacity (CEC) is of interest given its potential relationship with several important clinical conditions including Alzheimer's disease. The inactivation of the APOE locus in mouse models supports the idea that it is involved in determining the CEC. With that in mind, we examine the impact of the plasma metabolome profile and the APOE genotype on the CEC in cognitively healthy elderly subjects. The study subjects were 144 unrelated healthy individuals. The plasma CEC was determined by exposing cultured mouse macrophages treated with BODIPY-cholesterol to human plasma. The metabolome profile was determined using NMR techniques. Multiple regression was performed to identify the most important predictors of CEC, as well as the NMR features most strongly associated with the APOE genotype. Plasma 3-hydroxybutyrate was the variable most strongly correlated with the CEC (r = 0.365; p = 7.3 × 10-6). Male sex was associated with a stronger CEC (r = -0.326, p = 6.8 × 10-5). Most of the NMR particles associated with the CEC did not correlate with the APOE genotype. The NMR metabolomics results confirmed the APOE genotype to have a huge effect on the concentration of plasma lipoprotein particles as well as those of other molecules including omega-3 fatty acids. In conclusion, the CEC of human plasma was associated with ketone body concentration, sex, and (to a lesser extent) the other features of the plasma lipoprotein profile. The APOE genotype exerted only a weak effect on the CEC via the modulation of the lipoprotein profile. The APOE locus was associated with omega-3 fatty acid levels independent of the plasma cholesterol level.A.R. and S.M. are funded by the Innovative Medicines Initiative 2 Joint Undertaking, which receives support from the European Union Horizon 2020 Research And Innovation Programme (ADAPTED grant no. 115975). S.M.’s research is also funded by the Spanish Ministry of Science and Innovation (PID2020-116303RB-I00/MCIN/AEI/10.13039/501100011033). A.R.’s research is also supported by Instituto de Salud Carlos III (ISCIII) via grants PI13/02434, PI16/01861, PI19/01301, and PI22/01403 Acción Estratégica en Salud, within the framework of the Spanish National R+D+I Plan and funded by the ISCIII-Subdirección General de Evaluación and the European Regional Development Fund (EDRF), as well as by the JPco-fuND-2 “Multinational Research Projects on Personalized Medicine for Neurodegenerative Diseases” PREADAPT project. I.d.R. is supported by a national grant from the Instituto de Salud Carlos III (ISCIII) FI20/00215. M.M. receives support from Instituto de Salud Carlos III (ISCIII) via grant PI19/00335 Acción Estratégica en Salud, within the framework of the Spanish National R+D+I Plan and funded by ISCIII-Subdirección General de Evaluación and the EDRF. AC acknowledges the support of the Instituto de Salud Carlos III (ISCIII) grant Sara Borrell (CD22/00125) and Ministerio de Ciencia e Innovación, Proyectos de Generación de Conocimiento grant PID2021-122473OA-I00. Fundacio ACE researchers research receives support from Grifols, Roche, Janssen, Life Molecular Imaging, Araclon Biotech, Alkahest, Laboratorio de Análisis Echevarne, and IrsiCaixa.Peer reviewe

Cognitive and Motor Decline in Dementia with Lewy Bodies and Parkinson's Disease Dementia

Funding Information: The University of Stavanger supported M.C.G. The CamPaIGN study has received funding from the Wellcome Trust, the Medical Research Council, the Patrick Berthoud Trust, and the NIHR Cambridge Biomedical Research Centre (BRC‐1215‐20014). The ICICLE‐PD study was funded by Parkinson's UK (J‐0802, G‐1301, G‐1507) and supported by the Lockhart Parkinson's Disease Research Fund, National Institute for Health Research (NIHR) Newcastle Biomedical Research Unit and Centre based at Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University. The PICNICS study was funded by the Cure Parkinson's Trust, the Van Geest Foundation, the Medical Research Council, Parkinson's UK, and the NIHR Cambridge Biomedical Research Centre (BRC‐1215‐20014). The NYPUM study was supported by grants from the Swedish Medical Research Council, Erling‐Persson Foundation, the Swedish Brain Foundation (Hjärnfonden), Umeå University, Västerbotten County Council, King Gustaf V and Queen Victoria Freemason Foundation, Swedish Parkinson Foundation, Swedish Parkinson Research Foundation, Kempe Foundation, Swedish PD Association, the European Research Council, and the Knut and Alice Wallenberg Foundation. The PINE study was funded by Parkinson's UK (grant numbers G0502, G0914, and G1302), the Scottish Chief Scientist Office (CAF/12/05, PCL/17/10), Academy of Medical Sciences, NHS Grampian endowments, the BMA Doris Hillier award, RS Macdonald Trust, the BUPA Foundation, and SPRING. The PARKWEST study was supported by the Research Council of Norway (grant# 177966), the Western Norway Regional Health Authority (grant# 911218 and # 911949), Reberg legacy and the Norwegian Parkinson's Research Foundation. The PICC collaboration has been supported by The Chief Scientist Office of the Scottish Government (PCL/17/10), the Academy of Medical Sciences, Parkinson's UK (initial collaborator meeting) and the Norwegian Association for Public Health. The DEMVEST Study was supported by the regional health authorities of Western Norway, Helse‐Vest (grant# 911973). Motol University Hospital's Czech Brain Aging Study was supported by the National Institute for Neurological Research (Programme EXCELES, ID Project No. LX22NPO5107)—Funded by the European Union—Next Generation EU and by Charles University grant PRIMUS 22/MED/011. The Sant Pau Initiative on Neurodegeration (SPIN) cohort was supported by the Fondo de Investigaciones Sanitario (FIS), Instituto de Salud Carlos III (PI14/01126, PI17/01019 and PI20/01473 to JF, PI13/01532 and PI16/01825 to RB, PI18/00335 to MCI, PI18/00435 and INT19/00016 to DA, PI17/01896 and AC19/00103to AL) and the CIBERNED program (Program 1, Alzheimer Disease to AL), jointly funded by Fondo Europeo de Desarrollo Regional, Unión Europea, “Una manera de hacer Europa”. It was also supported by the National Institutes of Health (NIA grants 1R01AG056850‐01A1; R21AG056974; and R01AG061566), by Generalitat de Catalunya (2017‐SGR‐547, SLT006/17/125, SLT006/17/119, SLT002/16/408) and “Marató TV3” foundation grants 20141210, 044412 and 20142610. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. The sponsors were not involved in the study design, in the collection, analysis, and interpretation of data, in the writing of the report, or in the decision to submit the article for publication. The authors declare that there are no conflicts of interest relevant to this work. Funding Sources and Conflicts of Interest:Peer reviewedPublisher PD

Neuropsychiatric profiles and conversion to dementia in mild cognitive impairment, a latent class analysis

Altres ajuts: Fondo Europeo de Desarrollo Regional (FEDER)Altres ajuts: Generalitat de Catalunya. Programa CERCAAltres ajuts: Instituto de Salud Carlos III (CIBERSAM i CIBERNED)Altres ajuts: Fundació "La Caixa"Altres ajuts: Grífols SA (GR@ACE project)Neuropsychiatric symptoms (NPS) have been recently addressed as risk factors of conversion to Alzheimer's disease (AD) and other dementia types in patients diagnosed with Mild Cognitive Impairment (MCI). Our aim was to determine profiles based on the prominent NPS in MCI patients and to explore the predictive value of these profiles on conversion to specific types of dementia. A total of 2137 MCI patients monitored in a memory clinic were included in the study. Four NPS profiles emerged (classes), which were defined by preeminent symptoms: Irritability, Apathy, Anxiety/Depression and Asymptomatic. Irritability and Apathy were predictors of conversion to dementia (HR = 1.43 and 1.56, respectively). Anxiety/depression class showed no risk effect of conversion when compared to Asymptomatic class. Irritability class appeared as the most discriminant neuropsychiatric condition to identify non-AD converters (i.e., frontotemporal dementia, vascular dementia, Parkinson's disease and dementia with Lewy Bodies). The findings revealed that consistent subgroups of MCI patients could be identified among comorbid basal NPS. The preeminent NPS showed to behave differentially on conversion to dementia, beyond AD. Therefore, NPS should be used as early diagnosis facilitators, and should also guide clinicians to detect patients with different illness trajectories in the progression of MCI

Dementia care in times of COVID-19: Experience at Fundació ACE in Barcelona, Spain

Background: Fundació ACE is a non-profit organization providing care based on a holistic model to persons with cognitive disorders and their families for 25 years in Barcelona, Spain. Delivering care to this vulnerable population amidst the COVID-19 pandemic has represented a major challenge to our institution. Objective: To share our experience in adapting our model of care to the new situation to ensure continuity of care. Methods: We detail the sequence of events and the actions taken within Fundació ACE to swiftly adapt our face-to-face model of care to one based on telemedicine consultations. We characterize individuals under follow-up by the Memory Unit from 2017 to 2019 and compare the number of weekly visits in 2020 performed before and after the lockdown was imposed. Results: The total number of individuals being actively followed by Fundació ACE Memory Unit grew from 6,928 in 2017 to 8,147 in 2019. Among those newly diagnosed in 2019, most patients had mild cognitive impairment or mild dementia (42% and 25%, respectively). Weekly visits dropped by 60% following the suspension of face-to-face activity. However, by April 24 we were able to perform 78% of the visits we averaged in the weeks before confinement began. Discussion: We have shown that Fundació ACE model of care has been able to successfully adapt to a health and social critical situation as COVID-19 pandemic. Overall, we were able to guarantee the continuity of care while preserving the safety of patients, families, and professionals. We also seized the opportunity to improve our model of care