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Gao R, Gu L, Zuo W, Wang P. Comprehensive predictors of drug-resistant epilepsy in MELAS: clinical, EEG, imaging, and biochemical factors. BMC Neurol 2025; 25:64. [PMID: 39953503 PMCID: PMC11827305 DOI: 10.1186/s12883-025-04046-2] [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: 09/19/2024] [Accepted: 01/17/2025] [Indexed: 02/17/2025] Open
Abstract
BACKGROUND Seizures are a common but often overlooked manifestation of MELAS. This study aimed to describe the characteristics of seizures in MELAS and to analyze the clinical, electroencephalographic, imaging, and biochemical factors associated with drug-resistant epilepsy. METHODS A single-center retrospective study was conducted to investigate the clinical characteristics of seizures in MELAS patients. The study collected data on clinical features, muscle biopsy results, genetic testing, seizure symptoms, electroencephalography (EEG), neuroimaging findings, cerebrospinal fluid and blood biochemistry, and the modified Rankin Scale (mRS). We also investigated the correlation between seizure frequency and mRS scores. In addition, we analyzed the risk factors for drug-resistant epilepsy in MELAS. RESULTS A total of 37 patients with confirmed MELAS (24 males and 13 females) were included in the study. All patients experienced seizures, with an onset age ranging from 14 to 53 years and a mean of 32 years. These MELAS patients experienced a variety of seizure types, with generalized seizures being the most common. EEG findings revealed background rhythm abnormalities in all patients, and epileptiform discharges were observed in 37.8% of patients during the interictal phase. Status epilepticus (OR 16.499; 95% CI, 1.615-168.557; P = 0.018) and elevated resting serum lactate levels (OR 8.594; 95% CI, 1.342-59.733; P = 0.024) were identified as independent risk factors for drug-resistant epilepsy. In addition, changes in the seizure frequency at the last follow-up compared to baseline were positively correlated with the mRS score. (r = 0.533, p < 0.001). CONCLUSION Status epilepticus and elevated resting serum lactate levels were predictive of the development of drug-resistant epilepsy in MELAS. Poor seizure control was significantly associated with increased clinical disability. Early identification of high-risk patients for drug-resistant epilepsy could facilitate the development of more effective treatment plans.
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Affiliation(s)
- Rui Gao
- Department of Neurology, Tianjin Huanhu Hospital, Nankai University, Tianjin, China
| | - Lihua Gu
- Department of Neurology, Tianjin Huanhu Hospital, Nankai University, Tianjin, China
| | - Wenchao Zuo
- Department of Neurology, Tianjin Huanhu Hospital, Nankai University, Tianjin, China
| | - Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Nankai University, Tianjin, China.
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Zhu XH, Zhou YP, Zhang Q, Zhu MY, Song XW, Li J, Chen J, Shi Y, Sun KJ, Zhang YJ, Zhang J, Xia T, Huang BS, Meng F, Zhou QG. A novel anti-epileptogenesis strategy of temporal lobe epilepsy based on nitric oxide donor. EMBO Mol Med 2025; 17:85-111. [PMID: 39653809 PMCID: PMC11730642 DOI: 10.1038/s44321-024-00168-1] [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: 04/13/2024] [Revised: 10/22/2024] [Accepted: 10/28/2024] [Indexed: 01/15/2025] Open
Abstract
The molecular mechanism underlying the role of hippocampal hilar interneuron degeneration in temporal lobe epilepsy (TLE) remains unclear. Especially, very few studies have focused on the role of neuronal nitric oxide synthase (nNOS, encoded by Nos1) containing hilar interneurons in TLE. In the present study, Nos1 conditional knockout mice were constructed, and we found that selective deletion of Nos1 in hilar interneurons rather than dentate granular cells (DGCs) triggered epileptogenesis. The level of nNOS was downregulated in patients and mice with TLE. Nos1 deletion led to excessive epilepsy-like excitatory input circuit formation and hyperexcitation of DGCs. Replenishment of hilar nNOS protein blocked epileptogenic development and memory impairment in pilocarpine-induced TLE mice. Moreover, chronic treatment with DETA/NONOate, a slowly released exogenous nitric oxide (NO) donor, prevented aberrant neural circuits of DGCs and the consequent epileptogenesis without acute antiseizure effects. Therefore, we concluded that NO donor therapy may be a novel anti-epileptogenesis strategy, different from existing antiseizure medications (ASMs), for curing TLE.
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Affiliation(s)
- Xian-Hui Zhu
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China
- Sir Run Run Hospital, Nanjing Medical University, Nanjing, 211166, China
| | - Ya-Ping Zhou
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China
- Changzhou Hygiene Vocational Technology College, Changzhou, 213002, China
| | - Qiao Zhang
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China
- Suqian First Hospital, Nanjing Medical University, Suqian, 223800, China
| | - Ming-Yi Zhu
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China
- Centre of Medicinal Preparations, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
| | - Xiao-Wei Song
- Sir Run Run Hospital, Nanjing Medical University, Nanjing, 211166, China
- Department of Neurosurgery, The Second Affiliated Hospital of Nantong University, Nantong First People's Hospital, Nantong, 226001, China
| | - Jun Li
- Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China
| | - Jiang Chen
- Department of Neurology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210032, China
| | - Yun Shi
- Department of Neurology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210032, China
| | - Kang-Jian Sun
- Department of Neurosurgery, Nanjing Jinling University, Nanjing, 210002, China
| | - Yong-Jie Zhang
- Department of Human Anatomy, Human Brain Tissue Resource Center of Nanjing Medical University, National Health and Disease Human Brain Tissue Resource Center-sub-center of Nanjing Medical University, Nanjing, 211166, China
| | - Jing Zhang
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China
- The Key Center of Gene Technology Drugs of Jiangsu Province, Nanjing Medical University, Nanjing, 211166, China
| | - Tian Xia
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
| | - Bao-Sheng Huang
- Sir Run Run Hospital, Nanjing Medical University, Nanjing, 211166, China.
| | - Fan Meng
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
- The Key Center of Gene Technology Drugs of Jiangsu Province, Nanjing Medical University, Nanjing, 211166, China.
| | - Qi-Gang Zhou
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
- The Key Center of Gene Technology Drugs of Jiangsu Province, Nanjing Medical University, Nanjing, 211166, China.
- Department of Pharmacy of First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
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Jiang Y, Li W, Li J, Li X, Zhang H, Sima X, Li L, Wang K, Li Q, Fang J, Jin L, Gong Q, Yao D, Zhou D, Luo C, An D. Identification of four biotypes in temporal lobe epilepsy via machine learning on brain images. Nat Commun 2024; 15:2221. [PMID: 38472252 DOI: 10.1038/s41467-024-46629-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 03/05/2024] [Indexed: 03/14/2024] Open
Abstract
Artificial intelligence provides an opportunity to try to redefine disease subtypes based on similar pathobiology. Using a machine-learning algorithm (Subtype and Stage Inference) with cross-sectional MRI from 296 individuals with focal epilepsy originating from the temporal lobe (TLE) and 91 healthy controls, we show phenotypic heterogeneity in the pathophysiological progression of TLE. This study was registered in the Chinese Clinical Trials Registry (number: ChiCTR2200062562). We identify two hippocampus-predominant phenotypes, characterized by atrophy beginning in the left or right hippocampus; a third cortex-predominant phenotype, characterized by hippocampus atrophy after the neocortex; and a fourth phenotype without atrophy but amygdala enlargement. These four subtypes are replicated in the independent validation cohort (109 individuals). These subtypes show differences in neuroanatomical signature, disease progression and epilepsy characteristics. Five-year follow-up observations of these individuals reveal differential seizure outcomes among subtypes, indicating that specific subtypes may benefit from temporal surgery or pharmacological treatment. These findings suggest a diverse pathobiological basis underlying focal epilepsy that potentially yields to stratification and prognostication - a necessary step for precise medicine.
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Affiliation(s)
- Yuchao Jiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
| | - Wei Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Geriatrics, West China Hospital, Sichuan University, China National Clinical Research Center for Geriatric Medicine, Chengdu, China
| | - Jinmei Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiuli Li
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Heng Zhang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiutian Sima
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Luying Li
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Kang Wang
- Epilepsy Center, Department of Neurology, The first affiliated hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qifu Li
- Department of Neurology, The first affiliated hospital, Hainan Medical University and the Key Laboratory of Brain Science Research and Transformation in Tropical Environment of Hainan Province, Haikou, Hainan, China
| | - Jiajia Fang
- Department of Neurology, The fourth affiliated hospital, School of Medicine, Zhejiang University, Yiwu, Zhejiang, China
| | - Lu Jin
- Psychological Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Research Unit of NeuroInformation (2019RU035), Chinese Academy of Medical Sciences, Chengdu, China
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and technology, University of Electronic Science and Technology of China, Chengdu, China.
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China.
- Research Unit of NeuroInformation (2019RU035), Chinese Academy of Medical Sciences, Chengdu, China.
| | - Dongmei An
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Proteomic Analysis Reveals the Vital Role of Synaptic Plasticity in the Pathogenesis of Temporal Lobe Epilepsy. Neural Plast 2022; 2022:8511066. [PMID: 35860309 PMCID: PMC9293557 DOI: 10.1155/2022/8511066] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/11/2022] [Accepted: 06/14/2022] [Indexed: 12/14/2022] Open
Abstract
Temporal lobe epilepsy (TLE) is a chronic neurological disorder that is often resistant to antiepileptic drugs. The pathogenesis of TLE is extremely complicated and remains elusive. Understanding the molecular mechanisms underlying TLE is crucial for its diagnosis and treatment. In the present study, a lithium-pilocarpine-induced TLE model was employed to reveal the pathological changes of hippocampus in rats. Hippocampal samples were taken for proteomic analysis at 2 weeks after the onset of spontaneous seizure (a chronic stage of epileptogenesis). Isobaric tag for relative and absolute quantization (iTRAQ) coupled with liquid chromatography-tandem mass spectrometry (LC–MS/MS) technique was applied for proteomic analysis of hippocampus. A total of 4173 proteins were identified from the hippocampi of epileptic rats and its control, of which 27 differentially expressed proteins (DEPs) were obtained with a fold change > 1.5 and P < 0.05. Bioinformatics analysis indicated 27 DEPs were mainly enriched in “regulation of synaptic plasticity and structure” and “calmodulin-dependent protein kinase activity,” which implicate synaptic remodeling may play a vital role in the pathogenesis of TLE. Consequently, the synaptic plasticity-related proteins and synaptic structure were investigated to verify it. It has been demonstrated that CaMKII-α, CaMKII-β, and GFAP were significant upregulated coincidently with proteomic analysis in the hippocampus of TLE rats. Moreover, the increased dendritic spines and hippocampal sclerosis further proved that synaptic plasticity involves in the development of TLE. The present study may help to understand the molecular mechanisms underlying epileptogenesis and provide a basis for further studies on synaptic plasticity in TLE.
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Peng Q, Ma M, Gu X, Hu Y, Zhou B. Evaluation of Factors Impacting the Efficacy of Single or Combination Therapies of Valproic Acid, Carbamazepine, and Oxcarbazepine: A Longitudinal Observation Study. Front Pharmacol 2021; 12:641512. [PMID: 34017250 PMCID: PMC8129194 DOI: 10.3389/fphar.2021.641512] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/13/2021] [Indexed: 12/16/2022] Open
Abstract
Objective: This study aimed to determine the efficacy and clinical factors related to the pharmacodynamics of single or combination therapies of valproic acid (VPA), carbamazepine (CBZ), and oxcarbazepine (OXC), three commonly used anti-epileptic drugs (AEDs) in China. Methods: The study evaluated the records of 2027 outpatients in a Changsha hospital, located in China, from December 23, 2015 to October 28, 2019. The baseline seizure frequency was assessed during the first visit. AED efficacy was determined based on the reduction in seizures from baseline at the subsequent visits. Multivariable ordinal regression analysis was used to determine the association between the clinical factors (demographic characteristics, clinical features, and medication situation) and AED efficacy. For validation, the clinical efficacies of AEDs were compared as both single agents and in combinations. Differences in adverse effect (AEs) categories were analyzed by Chi-square between AED groups. Results: Records of patients receiving VPA, CBZ, and OXC were evaluated. Serum concentrations of VPA and CBZ is significantly correlated with efficacy (OR 1.030 [1.024–1.037], p < 0 0.0001; OR 1.250 [1.146–1.63], p < 0.0001, respectively) and OXC efficacy correlated to the serum concentration of the metabolite 10,11-dihydro-10-hydroxy-carbazepine (monohydroxy derivative, MHD) serum concentrations (OR 1.060 [1.031–1.089], p < 0.0001). Significant differences existed between females and males in VPA efficacy (OR 1.318 [1.033–1.682], p = 0.027). After validation, VPA, in combination with OXC (OR 1.93 [1.38–2.70], p<0.001), or with VGB (Vigabatrin) (OR 2.36 [1.38–2.70], p = 0.002), showed significantly better efficacy than as a single agent. OXC efficacy was also affected by the duration of epilepsy (OR 0.965 [0.946–0.984], p < 0.001). Additionally, the efficacies of OXC and VPA were also affected by the seizure type. Seizure reduction improved significantly with an increasing number of pharmacists’ educations in the first three visits period. There were no differences in AEs incidence among these 3 AEDs except for Psychiatric (0.02) and nervous system disorders (0.0001). Conclusion: Serum concentrations of VPA and CBZ may positively affect their efficacies, while OXC efficacies are correlated to MHD serum concentrations. The efficacy of VPA was higher in females compared to males. VPA-OXC and VPA-VGB combinations had higher efficacies compared to monotherapy. Besides, OXC efficacy is probably reducing by the duration of epilepsy. Additionally, VPA efficacy for focal or generalized seizures is superior to mixed-type seizures. OXC was more effective for focal seizures compared to mixed-type ones. Education provided by pharmacists improved the seizures to some extent, and there were no significant differences between most categories of adverse effects for the investigated AEDs.
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Affiliation(s)
- Qilin Peng
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Mubai Ma
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Xurui Gu
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Yani Hu
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Boting Zhou
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China.,The Hunan Institute of Pharmacy Practice and Clinical Research, Changsha, China
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Liu A, Rong P, Gong L, Song L, Wang X, Li L, Wang Y. Efficacy and Safety of Treatment with Transcutaneous Vagus Nerve Stimulation in 17 Patients with Refractory Epilepsy Evaluated by Electroencephalogram, Seizure Frequency, and Quality of Life. Med Sci Monit 2018; 24:8439-8448. [PMID: 30467307 PMCID: PMC6266629 DOI: 10.12659/msm.910689] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background This study aimed to investigate the efficacy and safety of treatment with transcutaneous vagus nerve stimulation (tVNS) for patients with refractory epilepsy by evaluation of the frequency of seizures, electroencephalogram (EEG) changes, and quality of life on follow-up at three months and six months. Material/Methods EEG evaluation followed baseline evaluation with EEG at three months and six months following tVNS treatment. The frequency of seizures was recorded during the six-month study period. Before and after tVNS treatment, patients completed the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the Liverpool Seizure Severity Scale (LSSS), the Quality of Life in Epilepsy Inventory (QOLIE-31), and the Pittsburg Sleep Quality Index (PSQI). Results Seventeen patients completed six months of tVNS treatment. Following three months of tVNS therapy, the frequency of epileptic seizures decreased in 13/17 subjects, with an average reduced seizure rate of 31.3%. Following six months of tVNS treatment, the frequency of epileptic seizures decreased in 16/17 subjects, with an average reduced seizure rate of 64.4%. There were 14/17 cases with abnormal EEG at baseline; 2/17 patients had improved EEGs by three months, and 10/17 patients had improved EEGs by six months. During the study period, there were no adverse events associated with tVNS treatment, but the effects on sleep were inconclusive. Conclusions This preliminary study showed that tVNS was an effective and safe adjuvant treatment for refractory epilepsy that reduced seizure frequency and reduced abnormal EEG changes following clinical improvement.
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Affiliation(s)
- Aihua Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China (mainland)
| | - Peijing Rong
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China (mainland)
| | - Li Gong
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China (mainland)
| | - Lu Song
- Department of Neurology, Xuanwu Hospital, Capital Medical University,, Beijing, China (mainland)
| | - Xian Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China (mainland)
| | - Liping Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China (mainland)
| | - Yuping Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China (mainland)
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