Cong Wang, Wanbing Sun, Jun Zhang, Jianping Zhang, Qinghua Guo, Xingyu Zhou, Dandan Fan, Haoran Liu, Ming Qi, Xihui Gao, Haiyan Xu, Zhaobing Gao, Mei Tian, Hong Zhang, Jianhong Wang, Zixuan Wei, Nicholas J. Long, Ying Mao, Cong Li
{"title":"一种电场响应顺磁造影剂可增强耐药性癫痫小鼠模型中癫痫灶的可视性","authors":"Cong Wang, Wanbing Sun, Jun Zhang, Jianping Zhang, Qinghua Guo, Xingyu Zhou, Dandan Fan, Haoran Liu, Ming Qi, Xihui Gao, Haiyan Xu, Zhaobing Gao, Mei Tian, Hong Zhang, Jianhong Wang, Zixuan Wei, Nicholas J. Long, Ying Mao, Cong Li","doi":"10.1038/s41551-020-00618-4","DOIUrl":null,"url":null,"abstract":"For patients with drug-resistant focal epilepsy, excision of the epileptogenic zone is the most effective treatment approach. However, the surgery is less effective in the 15–30% of patients whose lesions are not distinct when visualized by magnetic resonance imaging (MRI). Here, we show that an intravenously administered MRI contrast agent consisting of a paramagnetic polymer coating encapsulating a superparamagnetic cluster of ultrasmall superparamagnetic iron oxide crosses the blood–brain barrier and improves lesion visualization with high sensitivity and target-to-background ratio. In kainic-acid-induced mouse models of drug-resistant focal epilepsy, electric-field changes in the brain associated with seizures trigger breakdown of the contrast agent, restoring the T1-weighted magnetic resonance signal, which otherwise remains quenched due to the distance-dependent magnetic resonance tuning effect between the cluster and the coating. The electric-field-responsive contrast agent may increase the probability of detecting seizure foci in patients and facilitate the study of brain diseases associated with epilepsy. An intravenously administered electric-field-sensitive contrast agent for magnetic resonance imaging that crosses the blood–brain barrier improves lesion visualization with high sensitivity and target-to-background ratio in mice.","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"5 3","pages":"278-289"},"PeriodicalIF":26.8000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1038/s41551-020-00618-4","citationCount":"22","resultStr":"{\"title\":\"An electric-field-responsive paramagnetic contrast agent enhances the visualization of epileptic foci in mouse models of drug-resistant epilepsy\",\"authors\":\"Cong Wang, Wanbing Sun, Jun Zhang, Jianping Zhang, Qinghua Guo, Xingyu Zhou, Dandan Fan, Haoran Liu, Ming Qi, Xihui Gao, Haiyan Xu, Zhaobing Gao, Mei Tian, Hong Zhang, Jianhong Wang, Zixuan Wei, Nicholas J. Long, Ying Mao, Cong Li\",\"doi\":\"10.1038/s41551-020-00618-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For patients with drug-resistant focal epilepsy, excision of the epileptogenic zone is the most effective treatment approach. However, the surgery is less effective in the 15–30% of patients whose lesions are not distinct when visualized by magnetic resonance imaging (MRI). Here, we show that an intravenously administered MRI contrast agent consisting of a paramagnetic polymer coating encapsulating a superparamagnetic cluster of ultrasmall superparamagnetic iron oxide crosses the blood–brain barrier and improves lesion visualization with high sensitivity and target-to-background ratio. In kainic-acid-induced mouse models of drug-resistant focal epilepsy, electric-field changes in the brain associated with seizures trigger breakdown of the contrast agent, restoring the T1-weighted magnetic resonance signal, which otherwise remains quenched due to the distance-dependent magnetic resonance tuning effect between the cluster and the coating. The electric-field-responsive contrast agent may increase the probability of detecting seizure foci in patients and facilitate the study of brain diseases associated with epilepsy. 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An electric-field-responsive paramagnetic contrast agent enhances the visualization of epileptic foci in mouse models of drug-resistant epilepsy
For patients with drug-resistant focal epilepsy, excision of the epileptogenic zone is the most effective treatment approach. However, the surgery is less effective in the 15–30% of patients whose lesions are not distinct when visualized by magnetic resonance imaging (MRI). Here, we show that an intravenously administered MRI contrast agent consisting of a paramagnetic polymer coating encapsulating a superparamagnetic cluster of ultrasmall superparamagnetic iron oxide crosses the blood–brain barrier and improves lesion visualization with high sensitivity and target-to-background ratio. In kainic-acid-induced mouse models of drug-resistant focal epilepsy, electric-field changes in the brain associated with seizures trigger breakdown of the contrast agent, restoring the T1-weighted magnetic resonance signal, which otherwise remains quenched due to the distance-dependent magnetic resonance tuning effect between the cluster and the coating. The electric-field-responsive contrast agent may increase the probability of detecting seizure foci in patients and facilitate the study of brain diseases associated with epilepsy. An intravenously administered electric-field-sensitive contrast agent for magnetic resonance imaging that crosses the blood–brain barrier improves lesion visualization with high sensitivity and target-to-background ratio in mice.
期刊介绍:
Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.