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超小超顺磁性磁铁矿纳米颗粒作为谷氨酸响应性磁共振传感器

Ultrasmall Superparamagnetic Magnetite Nanoparticles as Glutamate-Responsive Magnetic Resonance Sensors.

作者信息

Mettee Hannah, Asparin Aaron, Ali Zulaikha, He Shi, Li Xianzhi, Hall Joshua, Kim Alexis, Wu Shuo, Hawker Morgan J, Uchida Masaki, Wei He

机构信息

Department of Chemistry and Biochemistry, California State University Fresno, 2555 E San Ramon Ave, Fresno, CA 93740, USA.

Department of Electrical and Computer Engineering, California State University Fresno, 2320 E San Ramon Ave, Fresno, CA 93740, USA.

出版信息

Sensors (Basel). 2025 Jul 10;25(14):4326. doi: 10.3390/s25144326.


DOI:10.3390/s25144326
PMID:40732453
Abstract

Glutamate, the primary excitatory neurotransmitter in the central nervous system, plays a pivotal role in synaptic signaling, learning, and memory. Abnormal glutamate levels are implicated in various neurological disorders, including epilepsy, Alzheimer's disease, and ischemic stroke. Despite the utility of magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) in diagnosing such conditions, the development of effective glutamate-sensitive contrast agents remains a challenge. In this study, we present ultrasmall, citric acid-coated superparamagnetic iron oxide nanoparticles (CA-SPIONs) as highly selective and sensitive MRS probes for glutamate detection. These 5 nm magnetite CA-SPIONs exhibit a stable dispersion in physiological buffers and undergo aggregation in the presence of glutamate, significantly enhancing the T MRS contrast power. At physiological glutamate levels, the CA-SPIONs yielded a pronounced signal change ratio of nearly 60%, while showing a negligible response to other neurotransmitters such as GABA and dopamine. Computational simulations confirmed the mechanism of glutamate-mediated aggregation and its impact on transversal relaxation rates and relaxivities. The sensitivity and selectivity of CA-SPIONs underscore their potential as eco-friendly, iron-based alternatives for future neurological sensing applications targeting glutamatergic dysfunction.

摘要

谷氨酸是中枢神经系统中的主要兴奋性神经递质,在突触信号传递、学习和记忆中起关键作用。谷氨酸水平异常与多种神经系统疾病有关,包括癫痫、阿尔茨海默病和缺血性中风。尽管磁共振成像(MRI)和磁共振波谱(MRS)在诊断此类疾病方面具有实用性,但开发有效的谷氨酸敏感造影剂仍然是一项挑战。在本研究中,我们展示了超小的、柠檬酸包覆的超顺磁性氧化铁纳米颗粒(CA-SPIONs)作为用于谷氨酸检测的高选择性和灵敏的MRS探针。这些5纳米的磁铁矿CA-SPIONs在生理缓冲液中表现出稳定的分散性,并在谷氨酸存在下发生聚集,显著增强了T MRS对比能力。在生理谷氨酸水平下,CA-SPIONs产生了近60%的明显信号变化率,而对其他神经递质如γ-氨基丁酸(GABA)和多巴胺的反应可忽略不计。计算模拟证实了谷氨酸介导的聚集机制及其对横向弛豫率和弛豫度的影响。CA-SPIONs的灵敏度和选择性突出了它们作为针对谷氨酸能功能障碍的未来神经传感应用的环保型铁基替代品的潜力。

相似文献

[1]
Ultrasmall Superparamagnetic Magnetite Nanoparticles as Glutamate-Responsive Magnetic Resonance Sensors.

Sensors (Basel). 2025-7-10

[2]
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[3]
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Int J Nanomedicine. 2025-6-13

[4]
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Future Oncol. 2025-8

[5]
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Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2024

[6]
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Acta Biomater. 2022-10-15

[7]
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[8]
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PLoS One. 2024

[9]
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[10]
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Mol Psychiatry. 2025-5

本文引用的文献

[1]
Polymer nanocomposite-based biomolecular sensor for healthcare monitoring.

Adv Colloid Interface Sci. 2025-9

[2]
Sinapic acid alleviates glutamate-induced excitotoxicity by inhibiting neuroinflammation and endoplasmic reticulum stress pathway in C6 glioma cells.

Toxicol In Vitro. 2025-3

[3]
Enzyme-modified Pt nanoelectrodes for glutamate detection.

Faraday Discuss. 2025-2-17

[4]
Advancing MRI with magnetic nanoparticles: a comprehensive review of translational research and clinical trials.

Nanoscale Adv. 2024-4-2

[5]
Influence of SPION Surface Coating on Magnetic Properties and Theranostic Profile.

Molecules. 2024-4-17

[6]
Rational Design of Magnetic Nanoparticles as T-T Dual-Mode MRI Contrast Agents.

Molecules. 2024-3-18

[7]
Magnetic Resonance Imaging and Iron-oxide Nanoparticles in the era of Personalized Medicine.

Nanotheranostics. 2023

[8]
Fast detection of liver fibrosis with collagen-binding single-nanometer iron oxide nanoparticles via -weighted MRI.

Proc Natl Acad Sci U S A. 2023-5-2

[9]
Synthesis and Characterization of Citric Acid-Modified Iron Oxide Nanoparticles Prepared with Electrohydraulic Discharge Treatment.

Materials (Basel). 2023-1-12

[10]
Glutamate-weighted CEST (gluCEST) imaging for mapping neurometabolism: An update on the state of the art and emerging findings from in vivo applications.

NMR Biomed. 2023-6

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