挑战与机遇：纳米材料在癫痫诊断中的应用

IF 16 1区材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY

ACS Nano Pub Date : 2025-04-23 DOI:10.1021/acsnano.5c01203

Wanbin Huang, Jiabin Zong, Ming Li, Tong-Fei Li, Songqing Pan, Zheman Xiao

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引用次数: 0

摘要

癫痫是一种常见的神经系统疾病，其特点是致残率很高。准确的早期诊断和准确定位癫痫区是必要的及时干预，癫痫预防和个性化治疗。然而，超过30%的癫痫患者在脑电图和磁共振成像（MRI）上显示阴性结果，这可能导致误诊和随后的治疗延误。因此，加强诊断方法对于有效的癫痫管理至关重要。纳米材料与生物医学的结合促进了癫痫诊断工具的发展。关键的进展包括纳米材料增强的神经电极、造影剂和生化传感器。纳米材料提高了电生理信号的质量，拓宽了电极的检测范围。在成像方面，功能化磁性纳米颗粒增强了MRI敏感性，促进了癫痫区定位。NIR-II纳米探针能够追踪具有深层组织渗透的癫痫相关生物标志物。此外，纳米材料提高了生化传感器检测癫痫生物标志物的灵敏度，这对早期发现至关重要。这些进步显著提高了诊断的敏感性和特异性。然而，挑战依然存在，特别是在生物安全、质量控制和制造工艺的可扩展性方面。克服这些障碍是成功临床翻译的关键。基于人工智能的大数据分析可以通过筛选具有特定特性的纳米材料来促进诊断工具的开发。这种方法可能有助于解决目前的局限性，提高有效性和安全性。本文综述了纳米材料在癫痫诊断和检测中的应用，旨在启发创新思路和策略，以提高诊断效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Challenges and Opportunities: Nanomaterials in Epilepsy Diagnosis

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Challenges and Opportunities: Nanomaterials in Epilepsy Diagnosis

Epilepsy is a common neurological disorder characterized by a significant rate of disability. Accurate early diagnosis and precise localization of the epileptogenic zone are essential for timely intervention, seizure prevention, and personalized treatment. However, over 30% of patients with epilepsy exhibit negative results on electroencephalography and magnetic resonance imaging (MRI), which can lead to misdiagnosis and subsequent delays in treatment. Consequently, enhancing diagnostic methodologies is imperative for effective epilepsy management. The integration of nanomaterials with biomedicine has led to the development of diagnostic tools for epilepsy. Key advancements include nanomaterial-enhanced neural electrodes, contrast agents, and biochemical sensors. Nanomaterials improve the quality of electrophysiological signals and broaden the detection range of electrodes. In imaging, functionalized magnetic nanoparticles enhance MRI sensitivity, facilitating localization of the epileptogenic zone. NIR-II nanoprobes enable tracking of seizure-related biomarkers with deep tissue penetration. Furthermore, nanomaterials enhance the sensitivity of biochemical sensors for detecting epilepsy biomarkers, which is crucial for early detection. These advancements significantly increase diagnostic sensitivity and specificity. However, challenges remain, particularly regarding biosafety, quality control, and the scalability of fabrication processes. Overcoming these obstacles is essential for successful clinical translation. Artificial-intelligence-based big data analytics can facilitate the development of diagnostic tools by screening nanomaterials with specific properties. This approach may help to address current limitations and improve both effectiveness and safety. This review explores the application of nanomaterials in the diagnosis and detection of epilepsy, with the objective of inspiring innovative ideas and strategies to enhance diagnostic effectiveness.

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来源期刊

ACS Nano 工程技术-材料科学：综合

CiteScore

26.00

自引率

4.10%

发文量

1627

审稿时长

1.7 months

期刊介绍： ACS Nano, published monthly, serves as an international forum for comprehensive articles on nanoscience and nanotechnology research at the intersections of chemistry, biology, materials science, physics, and engineering. The journal fosters communication among scientists in these communities, facilitating collaboration, new research opportunities, and advancements through discoveries. ACS Nano covers synthesis, assembly, characterization, theory, and simulation of nanostructures, nanobiotechnology, nanofabrication, methods and tools for nanoscience and nanotechnology, and self- and directed-assembly. Alongside original research articles, it offers thorough reviews, perspectives on cutting-edge research, and discussions envisioning the future of nanoscience and nanotechnology.