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Gu C, Wei X, Yan D, Cai Y, Li D, Shu J, Cai C. DEPDC5 plays a vital role in epilepsy: Genotypic and phenotypic features in cohort and literature. Epileptic Disord 2024; 26:341-349. [PMID: 38752894 DOI: 10.1002/epd2.20223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/18/2024] [Accepted: 03/24/2024] [Indexed: 06/12/2024]
Abstract
OBJECTIVE DEPDC5 emerges to play a vital role in focal epilepsy. However, genotype-phenotype correlation in DEPDC5-related focal epilepsies is challenging and controversial. In this study, we aim to investigate the genotypic and phenotypic features in DEPDC5-affected patients. METHODS Genetic testing combined with criteria published by the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP), was used to identify pathogenic/likely pathogenic variants in DEPDC5 among the cohort of 479 patients with focal epilepsy. Besides, the literature review was performed to explore the genotype-phenotype correlation and the penetrance in DEPDC5-related focal epilepsies. RESULTS Eight unrelated probands were revealed to carry different pathogenic/likely pathogenic variants in DEPDC5 and the total prevalence of DEPDC5-related focal epilepsy was 1.67% in the cohort. Sixty-five variants from 28 studies were included in our review. Combined with the cases reported, null variants accounted for a larger proportion than missense variants and were related to unfavorable prognosis (drug resistance or even sudden unexpected death in epilepsy; χ2 = 5.429, p = .020). And, the prognosis of probands with developmental delay/intellectual disability or focal cortical dysplasia was worse than that of probands with simple epilepsy (χ2 = -, p = .006). Besides, the overall penetrance of variants in DEPDC5 was 68.96% (231/335). SIGNIFICANCE The study expands the variant spectrum of DEPDC5 and proves that the DEPDC5 variant plays a significant role in focal epilepsy. Due to the characteristics of phenotypic heterogeneity and incomplete penetrance, genetic testing is necessary despite no specific family history. And we propose to adopt the ACMG/AMP criteria refined by ClinGen Sequence Variant Interpretation Working Group, for consistency in usage and transparency in classification rationale. Moreover, we reveal an important message to clinicians that the prognosis of DEPDC5-affected patients is related to the variant type and complications.
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Affiliation(s)
- Chunyu Gu
- Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China
| | - Xinping Wei
- The Medical Department of Neurology, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China
| | - Dandan Yan
- Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China
| | - Yingzi Cai
- Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China
| | - Dong Li
- The Medical Department of Neurology, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China
| | - Jianbo Shu
- Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China
| | - Chunquan Cai
- Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China
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Dhureja M, Chaturvedi P, Choudhary A, Kumar P, Munshi A. Molecular Insights of Drug Resistance in Epilepsy: Multi-omics Unveil. Mol Neurobiol 2024:10.1007/s12035-024-04220-6. [PMID: 38753128 DOI: 10.1007/s12035-024-04220-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 05/03/2024] [Indexed: 06/12/2024]
Abstract
Epilepsy is a devastating neurological disorder mainly associated with impaired synchronic discharge that leads to sensory, motor, and psychomotor impairments. Till now, about 30 anti-seizure medications (ASMs) have been approved for the management of epilepsy, yet one-third of individuals still have uncontrollable epilepsy and develop resistance. Drug resistance epilepsy (DRE) is defined as the condition where two ASMs fail to control the seizure in epileptic patients. The leading cause of the resistance was the extended use of ASMs. According to various studies, alterations in some genes and their expressions, along with specific metabolic impairments, are suggested to be associated with ASMs resistance and DRE pathophysiology. Several factors aid in the pathophysiology of DRE, such as alterations in protein-encoding genes such as neurotransmitter receptors, drug transporters, ion channels, and drug targets. Furthermore, the altered metabolite levels of metabolites implicated in neurotransmitter signaling, energetic pathways, oxidative stress, and neuroinflammatory signaling differentiate the epileptic patient from the DRE patient. Various DRE biomarkers can be identified using the "integrated omics approach," which includes the study of genomics, transcriptomics, and metabolomics. The current review has been compiled to understand the pathophysiological mechanisms of DRE by focusing on genomics, transcriptomics, and metabolomics. An effort has also been made to identify the therapeutic targets based on identifying significant markers by a multi-omics approach. This has the potential to develop novel therapeutic interventions in the future.
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Affiliation(s)
- Maanvi Dhureja
- Department of Pharmacology, Central University of Punjab, Bathinda, India
| | - Pragya Chaturvedi
- Department of Human Genetics and Molecular Medicines, Central University of Punjab, Bathinda, India
| | - Anita Choudhary
- Department of Human Genetics and Molecular Medicines, Central University of Punjab, Bathinda, India
| | - Puneet Kumar
- Department of Pharmacology, Central University of Punjab, Bathinda, India.
| | - Anjana Munshi
- Department of Human Genetics and Molecular Medicines, Central University of Punjab, Bathinda, India.
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Ellis CA, Tu D, Oliver KL, Mefford HC, Hauser WA, Buchhalter J, Epstein MP, Cao Q, Berkovic SF, Ottman R. Familial aggregation of seizure outcomes in four familial epilepsy cohorts. Epilepsia 2024. [PMID: 38738647 DOI: 10.1111/epi.18004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/14/2024]
Abstract
OBJECTIVE To assess the possible effects of genetics on seizure outcome by estimating the familial aggregation of three outcome measures: seizure remission, history of ≥4 tonic-clonic seizures, and seizure control for individuals taking antiseizure medication. METHODS We analyzed families containing multiple persons with epilepsy in four previously collected retrospective cohorts. Seizure remission was defined as being 5 and 10 years seizure-free at last observation. Total number of tonic-clonic seizures was dichotomized at <4 and ≥4 seizures. Seizure control in patients taking antiseizure medication was defined as no seizures for 1, 2, and 3 years. We used Bayesian generalized linear mixed-effects model (GLMM) to estimate the intraclass correlation coefficient (ICC) of the family-specific random effect, controlling for epilepsy type, age at epilepsy onset, and age at last data collection as fixed effects. We analyzed each cohort separately and performed meta-analysis using GLMMs. RESULTS The combined cohorts included 3644 individuals with epilepsy from 1463 families. A history of ≥4 tonic-clonic seizures showed strong familial aggregation in three separate cohorts and meta-analysis (ICC .28, 95% confidence interval [CI] .21-.35, Bayes factor 8 × 1016). Meta-analyses did not reveal significant familial aggregation of seizure remission (ICC .08, 95% CI .01-.17, Bayes factor 1.46) or seizure control for individuals taking antiseizure medication (ICC .13, 95% CI 0-.35, Bayes factor 0.94), with heterogeneity among cohorts. SIGNIFICANCE A history of ≥4 tonic-clonic seizures aggregated strongly in families, suggesting a genetic influence, whereas seizure remission and seizure control for individuals taking antiseizure medications did not aggregate consistently in families. Different seizure outcomes may have different underlying biology and risk factors. These findings should inform the future molecular genetic studies of seizure outcomes.
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Affiliation(s)
- Colin A Ellis
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Danni Tu
- Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Karen L Oliver
- Department of Medicine, Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Heather C Mefford
- Department of Cell and Molecular Biology, St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - W Allen Hauser
- Department of Neurology and Epidemiology, and the Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | | | - Michael P Epstein
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Quy Cao
- Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Samuel F Berkovic
- Department of Medicine, Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Ruth Ottman
- Department of Neurology and Epidemiology, and the Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
- Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, New York, USA
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Guin D, Hasija Y, Kukreti R. Assessment of clinically actionable pharmacogenetic markers to stratify anti-seizure medications. THE PHARMACOGENOMICS JOURNAL 2023; 23:149-160. [PMID: 37626111 DOI: 10.1038/s41397-023-00313-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 07/22/2023] [Accepted: 07/31/2023] [Indexed: 08/27/2023]
Abstract
Epilepsy treatment is challenging due to heterogeneous syndromes, different seizure types and higher inter-individual variability. Identification of genetic variants predicting drug efficacy, tolerability and risk of adverse-effects for anti-seizure medications (ASMs) is essential. Here, we assessed the clinical actionability of known genetic variants, based on their functional and clinical significance and estimated their diagnostic predictability. We performed a systematic PubMed search to identify articles with pharmacogenomic (PGx) information for forty known ASMs. Functional annotation of the identified genetic variants was performed using different in silico tools, and their clinical significance was assessed using the American College of Medical Genetics (ACMG) guidelines for variant pathogenicity, level of evidence (LOE) from PharmGKB and the United States-Food and drug administration (US- FDA) drug labelling with PGx information. Diagnostic predictability of the replicated genetic variants was evaluated by calculating their accuracy. A total of 270 articles were retrieved with PGx evidence associated with 19 ASMs including 178 variants across 93 genes, classifying 26 genetic variants as benign/ likely benign, fourteen as drug response markers and three as risk factors for drug response. Only seventeen of these were replicated, with accuracy (up to 95%) in predicting PGx outcomes specific to six ASMs. Eight out of seventeen variants have FDA-approved PGx drug labelling for clinical implementation. Therefore, the remaining nine variants promise for potential clinical actionability and can be improvised with additional experimental evidence for clinical utility.
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Affiliation(s)
- Debleena Guin
- Genomics and Molecular Medicine Unit, Council of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology (IGIB), New Delhi, 110007, India
- Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Delhi, 110042, India
| | - Yasha Hasija
- Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Delhi, 110042, India
| | - Ritushree Kukreti
- Genomics and Molecular Medicine Unit, Council of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology (IGIB), New Delhi, 110007, India.
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Fonferko-Shadrach B, Lacey AS, Strafford H, Jones C, Baker M, Powell R, Akbari A, Lyons RA, Ford D, Thompson S, Jones KH, Chung SK, Pickrell WO, Rees MI. Genetic influences on epilepsy outcomes: A whole-exome sequencing and health care records data linkage study. Epilepsia 2023; 64:3099-3108. [PMID: 37643892 DOI: 10.1111/epi.17766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/25/2023] [Accepted: 08/28/2023] [Indexed: 08/31/2023]
Abstract
OBJECTIVE This study was undertaken to develop a novel pathway linking genetic data with routinely collected data for people with epilepsy, and to analyze the influence of rare, deleterious genetic variants on epilepsy outcomes. METHODS We linked whole-exome sequencing (WES) data with routinely collected primary and secondary care data and natural language processing (NLP)-derived seizure frequency information for people with epilepsy within the Secure Anonymised Information Linkage Databank. The study participants were adults who had consented to participate in the Swansea Neurology Biobank, Wales, between 2016 and 2018. DNA sequencing was carried out as part of the Epi25 collaboration. For each individual, we calculated the total number and cumulative burden of rare and predicted deleterious genetic variants and the total of rare and deleterious variants in epilepsy and drug metabolism genes. We compared these measures with the following outcomes: (1) no unscheduled hospital admissions versus unscheduled admissions for epilepsy, (2) antiseizure medication (ASM) monotherapy versus polytherapy, and (3) at least 1 year of seizure freedom versus <1 year of seizure freedom. RESULTS We linked genetic data for 107 individuals with epilepsy (52% female) to electronic health records. Twenty-six percent had unscheduled hospital admissions, and 70% were prescribed ASM polytherapy. Seizure frequency information was linked for 100 individuals, and 10 were seizure-free. There was no significant difference between the outcome groups in terms of the exome-wide and gene-based burden of rare and deleterious genetic variants. SIGNIFICANCE We successfully uploaded, annotated, and linked genetic sequence data and NLP-derived seizure frequency data to anonymized health care records in this proof-of-concept study. We did not detect a genetic influence on real-world epilepsy outcomes, but our study was limited by a small sample size. Future studies will require larger (WES) data to establish genetic variant contribution to epilepsy outcomes.
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Affiliation(s)
| | - Arron S Lacey
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
| | - Huw Strafford
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
| | - Carys Jones
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
| | - Mark Baker
- Swansea Bay University Health Board, Swansea, UK
| | - Robert Powell
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
- Swansea Bay University Health Board, Swansea, UK
| | - Ashley Akbari
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
| | - Ronan A Lyons
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
| | - David Ford
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
| | - Simon Thompson
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
| | - Kerina H Jones
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
| | - Seo-Kyung Chung
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
- Brain & Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
- Kids Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
| | - William O Pickrell
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
- Swansea Bay University Health Board, Swansea, UK
| | - Mark I Rees
- Faculty of Medicine, Health, & Life Science, Swansea University Medical School, Swansea, UK
- Faculty of Medicine & Health, University of Sydney, Camperdown, New South Wales, Australia
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Addona C, Hurlimann T, Jaitovich-Groisman I, Godard B. Experiences of adults living with refractory epilepsy and their views and expectations on receiving results from whole genome sequencing. Epilepsy Res 2023; 196:107221. [PMID: 37696194 DOI: 10.1016/j.eplepsyres.2023.107221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/15/2023] [Accepted: 09/07/2023] [Indexed: 09/13/2023]
Abstract
INTRODUCTION Researchers, clinicians and patients are turning to new innovations in research and clinical practice to further their knowledge in the genetic domain and improve diagnostics or treatment. However, with increased knowledge in genetics, societal issues may arise. Being conscious of these issues is crucial in order to implement standardized and efficient testing on a wider scale that is accessible to a greater number of individuals while simultaneously returning test results, including incidental findings, in a timely manner. METHODS Within the framework of a genomics research project, we invited 20 participants who suffer from refractory epilepsy to provide insight on their personal experiences with epilepsy, as well as their thoughts on receiving Whole Genome Sequencing (WGS) results and with whom they would feel comfortable sharing these results with. RESULTS All participants had their own unique experience with epilepsy, such as how they handled their diagnosis, their struggles following the diagnosis, the healthcare services they received, how they shared their diagnosis with others, and how they managed stigmatization from others. Most participants would be eager to know their WGS results, whether the results be related to epilepsy (n = 19), response to pharmaceutical drugs including AEDs (n = 16), comorbidities (n = 19) and incidental findings (n = 15). CONCLUSION Our findings reinforce the need to improve access to genetic testing for epilepsy patients in clinical settings. Furthermore, while acquiring more genetic knowledge (i.e. WGS) about epilepsy can provide answers for the affected population, it also requires the simultaneous involvement of several medical disciplines, with greater emphasis on genetic and psychological counseling.
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Affiliation(s)
- Cynthia Addona
- Université de Montréal, PO Box 6128, Station Centre-ville, Montréal, QC H3C 3J7, Canada
| | - Thierry Hurlimann
- Université de Montréal, PO Box 6128, Station Centre-ville, Montréal, QC H3C 3J7, Canada
| | | | - Beatrice Godard
- Université de Montréal, PO Box 6128, Station Centre-ville, Montréal, QC H3C 3J7, Canada.
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Sun S, Wang H. Clocking Epilepsies: A Chronomodulated Strategy-Based Therapy for Rhythmic Seizures. Int J Mol Sci 2023; 24:ijms24044223. [PMID: 36835631 PMCID: PMC9962262 DOI: 10.3390/ijms24044223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 02/08/2023] [Accepted: 02/14/2023] [Indexed: 02/22/2023] Open
Abstract
Epilepsy is a neurological disorder characterized by hypersynchronous recurrent neuronal activities and seizures, as well as loss of muscular control and sometimes awareness. Clinically, seizures have been reported to display daily variations. Conversely, circadian misalignment and circadian clock gene variants contribute to epileptic pathogenesis. Elucidation of the genetic bases of epilepsy is of great importance because the genetic variability of the patients affects the efficacies of antiepileptic drugs (AEDs). For this narrative review, we compiled 661 epilepsy-related genes from the PHGKB and OMIM databases and classified them into 3 groups: driver genes, passenger genes, and undetermined genes. We discuss the potential roles of some epilepsy driver genes based on GO and KEGG analyses, the circadian rhythmicity of human and animal epilepsies, and the mutual effects between epilepsy and sleep. We review the advantages and challenges of rodents and zebrafish as animal models for epileptic studies. Finally, we posit chronomodulated strategy-based chronotherapy for rhythmic epilepsies, integrating several lines of investigation for unraveling circadian mechanisms underpinning epileptogenesis, chronopharmacokinetic and chronopharmacodynamic examinations of AEDs, as well as mathematical/computational modeling to help develop time-of-day-specific AED dosing schedules for rhythmic epilepsy patients.
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Affiliation(s)
- Sha Sun
- Center for Circadian Clocks, Soochow University, Suzhou 215123, China
- School of Biology and Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou 215123, China
| | - Han Wang
- Center for Circadian Clocks, Soochow University, Suzhou 215123, China
- School of Biology and Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou 215123, China
- Correspondence: or ; Tel.: +86-186-0512-8971
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Kocaaga A, Yimenicioglu S. Identification of Novel Gene Variants in Children With Drug-Resistant Epilepsy: Expanding the Genetic Spectrum. Pediatr Neurol 2023; 139:7-12. [PMID: 36493596 DOI: 10.1016/j.pediatrneurol.2022.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 10/09/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND Resistance to antiseizure drugs is an important problem in the treatment of individuals with epilepsy. Identifying the molecular etiology of drug-resistant epilepsy (DRE) is crucial for better management of epilepsy. Here, we explore the utility of whole exome sequencing (WES) in identifying causative gene variants in children with DRE. METHODS Forty-five children with DRE who underwent WES tests were included. Genetic examination of all patients included chromosomal analysis and clinical chromosomal microarray followed by WES. The identified variants by WES analysis were classified for pathogenicity based on the American College of Medical Genetics and Genomics guidelines and in silico protein prediction tools. RESULTS The overall diagnostic yield was 55.5% (25 of 45). A total of 26 variants spanning 22 genes were identified in 25 patients. Of note, only 19 of these genes were examined as novel. Ten patients (22.2%) had a pathogenic or likely pathogenic variant. There was a trend associated with a diagnostic genetic test result in girls compared with boys in DRE (P = 0.028). CONCLUSION Our findings expand the mutational spectrum of genes related to DRE. To form disease-specific treatment in children with DRE, the WES analysis should be included in the diagnostic algorithm because of its high diagnostic efficiency.
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Affiliation(s)
- Ayca Kocaaga
- Department of Medical Genetics, Eskisehir City Hospital, Eskişehir, Turkey.
| | - Sevgi Yimenicioglu
- Department of Pediatric Neurology, Eskisehir City Hospital, Eskişehir, Turkey
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Ni XJ, Zhong H, Liu YX, Lin HW, Gu ZC. Current trends and hotspots in drug-resistant epilepsy research: Insights from a bibliometric analysis. Front Neurol 2022; 13:1023832. [PMID: 36408494 PMCID: PMC9669477 DOI: 10.3389/fneur.2022.1023832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 10/12/2022] [Indexed: 11/05/2022] Open
Abstract
Background Drug-resistance is a significant clinical issue in persons with epilepsy. In the past few years, many studies have been published investigating the management of drug-resistant epilepsy (DRE); however, no systematic and quantitative evaluation of this research has been performed. Therefore, a bibliometric analysis was conducted to demonstrate the current status of DRE research and to reflect the trends and hotspots within the field. Methods We retrieved publications on DRE published between 2011 and 2021 from the Science Citation Index Expanded of the Web of Science Core Collection. All articles related to DRE were included in this study. VOSviewer, R software, and CiteSpace were used to perform bibliometric research. Results A total of 3,088 original articles were included in this study. The number of publications on DRE has continued to increase over the past 11 years. The USA published the most papers with the highest number of citations and H-index. The National Institutes of Health and the University of Toronto were the most prolific funding agency and affiliation, respectively. Epilepsy & Behavior and Epilepsia ranked first as the most prolific and co-cited journals, respectively. The keywords “cannabidiol”, “neuromodulation”, “seeg” and “perampanel” revealed recent research hotspots. The top 100 most cited papers were classified into eight main topics, of which pharmacotherapy, disease mechanisms/pathophysiology, and neuromodulation were the three most important topics. Conclusions This analysis of bibliometric data demonstrated that DRE has always been a topical area of research. The mechanisms of epilepsy and therapies have been the focus of DRE research, and innovative antiseizure medications and surgical approaches are fast-developing research trends.
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Moreau C, Tremblay F, Wolking S, Girard A, Laprise C, Hamdan FF, Michaud JL, Minassian BA, Cossette P, Girard SL. Assessment of burden and segregation profiles of CNVs in patients with epilepsy. Ann Clin Transl Neurol 2022; 9:1050-1058. [PMID: 35678011 PMCID: PMC9268881 DOI: 10.1002/acn3.51598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/09/2022] [Accepted: 05/12/2022] [Indexed: 11/12/2022] Open
Abstract
Objective Microdeletions are associated with different forms of epilepsy but show incomplete penetrance, which is not well understood. We aimed to assess whether unmasked variants or double CNVs could explain incomplete penetrance. Methods We analyzed copy number variants (CNVs) in 603 patients with four different subgroups of epilepsy and 945 controls. CNVs were called from genotypes and validated on whole‐genome (WGS) or whole‐exome sequences (WES). CNV burden difference between patients and controls was obtained by fitting a logistic regression. CNV burden was assessed for small and large (>1 Mb) deletions and duplications and for deletions overlapping different gene sets. Results Large deletions were enriched in genetic generalized epilepsies (GGE) compared to controls. We also found enrichment of deletions in epilepsy genes and hotspots for GGE. We did not find truncating or functional variants that could have been unmasked by the deletions. We observed a double CNV hit in two patients. One patient also carried a de novo deletion in the 22q11.2 hotspot. Interpretation We could corroborate previous findings of an enrichment of large microdeletions and deletions in epilepsy genes in GGE. We could also replicate that microdeletions show incomplete penetrance. However, we could not validate the hypothesis of unmasked variants nor the hypothesis of double CNVs to explain the incomplete penetrance. We found a de novo CNV on 22q11.2 that could be of interest. We also observed GGE families carrying a deletion on 15q13.3 hotspot that could be investigated in the Quebec founder population.
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Affiliation(s)
- Claudia Moreau
- Department of Fundamental Sciences, University of Quebec in Chicoutimi, Chicoutimi, Canada
| | - Frédérique Tremblay
- Department of Fundamental Sciences, University of Quebec in Chicoutimi, Chicoutimi, Canada
| | - Stefan Wolking
- Department of Neurology and Epileptology, University Hospital RWTH Aachen, Aachen, Germany
| | - Alexandre Girard
- Department of Fundamental Sciences, University of Quebec in Chicoutimi, Chicoutimi, Canada
| | - Catherine Laprise
- Department of Fundamental Sciences, University of Quebec in Chicoutimi, Chicoutimi, Canada
| | - Fadi F Hamdan
- CHU Sainte-Justine Research Center, Montreal, Canada.,Department of Pediatrics, University of Montreal, Montreal, Canada
| | - Jacques L Michaud
- CHU Sainte-Justine Research Center, Montreal, Canada.,Department of Neurosciences and Department of Pediatrics, University of Montreal, Montreal, Canada
| | - Berge A Minassian
- Department of Pediatrics, Hospital for Sick Children and University of Toronto, Toronto, Canada.,Department of Pediatrics, University of Texas Southwestern, Dallas, Texas, USA
| | - Patrick Cossette
- CHUM Research Center, Montreal, Canada.,Department of Neurosciences, University of Montreal, Montreal, Canada
| | - Simon L Girard
- Department of Fundamental Sciences, University of Quebec in Chicoutimi, Chicoutimi, Canada.,CERVO Research Center, Laval University, Quebec, Canada
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Abstract
Drug-resistant epilepsy is associated with poor health outcomes and increased economic burden. In the last three decades, various new antiseizure medications have been developed, but the proportion of people with drug-resistant epilepsy remains relatively unchanged. Developing strategies to address drug-resistant epilepsy is essential. Here, we define drug-resistant epilepsy and emphasize its relationship to the conceptualization of epilepsy as a symptom complex, delineate clinical risk factors, and characterize mechanisms based on current knowledge. We address the importance of ruling out pseudoresistance and consider the impact of nonadherence on determining whether an individual has drug-resistant epilepsy. We then review the principles of epilepsy drug therapy and briefly touch upon newly approved and experimental antiseizure medications.
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12
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Samanta D. DEPDC5-related epilepsy: A comprehensive review. Epilepsy Behav 2022; 130:108678. [PMID: 35429726 DOI: 10.1016/j.yebeh.2022.108678] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/07/2022] [Accepted: 03/21/2022] [Indexed: 11/03/2022]
Abstract
DEPDC5-related epilepsy, caused by pathogenic germline variants(with or without additional somatic variants in the brain) of DEPDC5 (Dishevelled, Egl-10 and Pleckstrin domain-containing protein 5) gene, is a newly discovered predominantly focal epilepsy linked to enhanced mTORC1 pathway. DEPDC5-related epilepsy includes several familial epilepsy syndromes, including familial focal epilepsy with variable foci (FFEVF) and rare sporadic nonlesional focal epilepsy. DEPDC5 has been identified as one of the more common epilepsy genes linked to infantile spasms and sudden unexpected death (SUDEP). Although intelligence usually is unaffected in DEPDC5-related epilepsy, some people have been diagnosed with intellectual disabilities, autism spectrum disorder, and other psychiatric problems. DEPDC5 variants have also been found in 20% of individuals with various brain abnormalities, challenging the traditional distinction between lesional and nonlesional epilepsies. The most exciting development of DEPDC5 variants is the possibility of precision therapeutics using mTOR inhibitors, as evidenced with phenotypic rescue in many animal models. However, more research is needed to better understand the functional impact of diverse (particularly missense or splice-region) variants, the specific involvement of DEPDC5 in epileptogenesis, and the creation and utilization of precision therapies in humans. Precision treatments for DEPDC5-related epilepsy will benefit not only a small number of people with the condition, but they will also pave the way for new therapeutic approaches in epilepsy (including acquired epilepsies in which mTORC1 activation occurs, for example, post-traumatic epilepsy) and other neurological disorders involving a dysfunctional mTOR pathway.
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Affiliation(s)
- Debopam Samanta
- Child Neurology Section, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
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Moloney PB, Dugan P, Widdess-Walsh P, Devinsky O, Delanty N. Genomics in the Presurgical Epilepsy Evaluation. Epilepsy Res 2022; 184:106951. [DOI: 10.1016/j.eplepsyres.2022.106951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/23/2022] [Accepted: 05/25/2022] [Indexed: 11/03/2022]
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Hoffmann L, Blümcke I. Neuropathology and epilepsy surgery. Curr Opin Neurol 2022; 35:202-207. [PMID: 35067500 DOI: 10.1097/wco.0000000000001030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Neurosurgical treatment of patients suffering from drug-resistant focal epilepsy is recognized as a successful, yet underutilized medical treatment option. By searching PubMed for articles published between January 2020 and September 2021 with the broad search terms 'neuropathology' AND 'epilepsy surgery', this review highlights the active field of etiology-based epilepsy research in human tissue. RECENT FINDINGS All papers addressing the most common epileptogenic human brain disease entities, i.e. focal cortical dysplasia (FCD), brain tumors or hippocampal sclerosis, and written in English language were eligible for our review. We can conclude from this review that etiology-based studies are of foremost interest for (1) the development of prediction models for postsurgical seizure outcome; (2) decipher genetic and molecular alterations to better define disease entities and underlying molecular pathomechanisms, and (3) the translation of human tissue-derived biomarker into clinically useful diagnostics or novel therapeutic targets in the near future. SUMMARY Highlighting FCD brain somatic gain-of-function variants in mammalian target of Rapamycin are a leading pathway to better classify FCD. An integrated genotype-phenotype analysis enables to classify the broad spectrum of low-grade and epilepsy-associated brain tumors. Further DNA-methylation-based disease classification will increase the mechanistic understanding and diagnostic precision of difficult to classify pathologies in the future.
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Affiliation(s)
- Lucas Hoffmann
- Department of Neuropathology, University Hospital Erlangen, Erlangen, Germany
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Fan YX, Zhang Z, Meng JR, Yin SJ, Wang P, Zhou T, Huang YH, Meng R, He GH. Association of ABCB1 polymorphisms with carbamazepine metabolism and resistance in epilepsy: A meta-analysis. Epilepsy Res 2021; 177:106785. [PMID: 34653781 DOI: 10.1016/j.eplepsyres.2021.106785] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/19/2021] [Accepted: 10/04/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE ABCB1 polymorphisms were previously demonstrated to be associated with the metabolism and resistance of carbamazepine (CBZ) in epilepsy, but the results still remained controversial. Therefore, we performed this meta-analysis to further evaluate the impacts of ABCB1 polymorphisms on CBZ metabolism and resistance. METHODS The PubMed, EMBASE, Cochrane library, Chinese National Knowledge Infrastructure, Chinese Science and Technique Journals Database and Wan Fang Database were searched for eligible publications up to 5 July 2021. The mean difference (MD), Odds ratio (OR) and 95 % confidence interval (CI) were calculated by Review Manager 5.3 software to assess the strength of the association. RESULTS Twelve studies involving 2126 epilepsy patients were included in this meta-analysis. We found that the TC genotype (heterozygous model: TC vs. CC) of rs1045642 polymorphism was significantly connected with decreased CBZ concentration. Furthermore, this polymorphism was indicated to be associated with concentrations of carbamazepine-10, 11-epoxide (homozygote model: TT vs. CC; heterozygous model: TC vs CC; dominant model: TT + TC vs. CC; over-dominant model: TC vs. TT + CC) and carbamazepine-10, 11-trans dihydrodiol (heterozygous model: TC vs. CC; dominant model: TT + TC vs. CC). Moreover, the AG genotype of rs2032582 polymorphism was related to increased CBZ concentration in heterozygous (AG vs. GG), dominant (AA + AG vs. GG) and over-dominant (AG vs. AA + GG) models. Additionally, rs1128503 was associated with CBZ resistance in heterozygous model (TC vs. CC). CONCLUSIONS ABCB1 rs1045642 and rs2032582 polymorphisms were associated with CBZ metabolism for epilepsy, and rs1128503 was related to CBZ resistance. These findings would contribute to improving individualized therapy of epileptic patients.
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Affiliation(s)
- Yu-Xin Fan
- Department of Clinical Pharmacy, 920th Hospital of Joint Logistics Support Force of People's Liberation Army, Kunming, 650032, China; College of Pharmacy, Dali University, Dali, 671000, China
| | - Zheng Zhang
- Medical Engineering Section, The 306th Hospital of PLA, Beijing, 100101, China
| | - Jing-Ru Meng
- Department of Pharmacology, School of Pharmacy, Air Force Medical University, Xi'an, 710032, China
| | - Sun-Jun Yin
- Department of Clinical Pharmacy, 920th Hospital of Joint Logistics Support Force of People's Liberation Army, Kunming, 650032, China
| | - Ping Wang
- Department of Clinical Pharmacy, 920th Hospital of Joint Logistics Support Force of People's Liberation Army, Kunming, 650032, China
| | - Tao Zhou
- Department of Clinical Pharmacy, 920th Hospital of Joint Logistics Support Force of People's Liberation Army, Kunming, 650032, China
| | - Yan-Hua Huang
- Department of Clinical Pharmacy, 920th Hospital of Joint Logistics Support Force of People's Liberation Army, Kunming, 650032, China
| | - Rui Meng
- Department of Clinical Pharmacy, 920th Hospital of Joint Logistics Support Force of People's Liberation Army, Kunming, 650032, China
| | - Gong-Hao He
- Department of Clinical Pharmacy, 920th Hospital of Joint Logistics Support Force of People's Liberation Army, Kunming, 650032, China.
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