{"title":"我们离抗药性癫痫的最佳临床前模型还有多远?","authors":"Maria de los Angeles Nuñez-Lumbreras, Luisa Rocha","doi":"10.1016/j.yebeh.2024.110029","DOIUrl":null,"url":null,"abstract":"<div><p>Drug-resistant epilepsy has a high prevalence worldwide despite efforts such as the Epilepsy Therapy Screening Program conducted by the National Institute of Neurological Disorders and Stroke. It is indicated that drug-resistant epilepsy has various manifestations, and each pattern of manifestation can be modeled using precise experimental models. However, the experimental models used to identify new antiseizure medications to control drug-resistant epilepsy to date do not typically take into account various clinical factors associated with this condition. These factors include comorbidities, sex, age, frequency of seizures and neuroinflammation. It is accordingly necessary to identify the proper characteristics of each type of drug-resistant epilepsy to be mimicked in preclinical models. The use of preclinical models mimicking the characteristics of the different patterns of drug-resistant epilepsy will allow identifying new therapeutic strategies to control this disorder. It is also essential to consider the heterogeneity of clinical factors involved in the condition of drug resistance in epilepsy to get the proper preclinical models.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How far are we from the best preclinical models of drug-resistant epilepsy?\",\"authors\":\"Maria de los Angeles Nuñez-Lumbreras, Luisa Rocha\",\"doi\":\"10.1016/j.yebeh.2024.110029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Drug-resistant epilepsy has a high prevalence worldwide despite efforts such as the Epilepsy Therapy Screening Program conducted by the National Institute of Neurological Disorders and Stroke. It is indicated that drug-resistant epilepsy has various manifestations, and each pattern of manifestation can be modeled using precise experimental models. However, the experimental models used to identify new antiseizure medications to control drug-resistant epilepsy to date do not typically take into account various clinical factors associated with this condition. These factors include comorbidities, sex, age, frequency of seizures and neuroinflammation. It is accordingly necessary to identify the proper characteristics of each type of drug-resistant epilepsy to be mimicked in preclinical models. The use of preclinical models mimicking the characteristics of the different patterns of drug-resistant epilepsy will allow identifying new therapeutic strategies to control this disorder. It is also essential to consider the heterogeneity of clinical factors involved in the condition of drug resistance in epilepsy to get the proper preclinical models.</p></div>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1525505024004116\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1525505024004116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
摘要
尽管美国国家神经疾病和中风研究所(National Institute of Neurological Disorders and Stroke)开展了 "癫痫治疗筛查计划"(Epilepsy Therapy Screening Program)等工作,但耐药性癫痫在全球的发病率仍然很高。有研究表明,耐药性癫痫有多种表现形式,每种表现形式都可以用精确的实验模型来模拟。然而,迄今为止用于确定新的抗癫痫药物以控制耐药性癫痫的实验模型通常并没有考虑到与该病症相关的各种临床因素。这些因素包括合并症、性别、年龄、癫痫发作频率和神经炎症。因此,有必要确定每种耐药性癫痫的适当特征,以便在临床前模型中进行模拟。利用临床前模型模拟不同类型耐药性癫痫的特征,将有助于确定控制这种疾病的新治疗策略。此外,还必须考虑癫痫耐药性所涉及的临床因素的异质性,以获得适当的临床前模型。
How far are we from the best preclinical models of drug-resistant epilepsy?
Drug-resistant epilepsy has a high prevalence worldwide despite efforts such as the Epilepsy Therapy Screening Program conducted by the National Institute of Neurological Disorders and Stroke. It is indicated that drug-resistant epilepsy has various manifestations, and each pattern of manifestation can be modeled using precise experimental models. However, the experimental models used to identify new antiseizure medications to control drug-resistant epilepsy to date do not typically take into account various clinical factors associated with this condition. These factors include comorbidities, sex, age, frequency of seizures and neuroinflammation. It is accordingly necessary to identify the proper characteristics of each type of drug-resistant epilepsy to be mimicked in preclinical models. The use of preclinical models mimicking the characteristics of the different patterns of drug-resistant epilepsy will allow identifying new therapeutic strategies to control this disorder. It is also essential to consider the heterogeneity of clinical factors involved in the condition of drug resistance in epilepsy to get the proper preclinical models.