用靶向MRI纳米探针在体内观察抑郁脑内炎症的空间分布

IF 8.6 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Npg Asia Materials Pub Date : 2023-10-27 DOI:10.1038/s41427-023-00505-9
Peisen Zhang, Jiaoqiong Guan, Ni Zhang, Lichong Zhu, Yu Wang, Wenyue Li, Zhe Shi, Xueyuan Liu, Xue Li, Meng Qin, Yi Hou, Yue Lan
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引用次数: 0

摘要

抑郁症是一种普遍存在的精神疾病,对公众健康造成了沉重的负担。然而,患者观察到的临床表型多样,难以实现精确诊断。近年来,越来越多的临床前和临床证据表明,炎症参与了抑郁症的病理生理。本文提出了一种基于分子成像的策略,通过特异性地可视化与抑郁症相关的炎症状态来精确诊断抑郁症。通过将细胞间细胞粘附分子-1 (ICAM-1)靶向肽连接到生物相容性铁3o纳米颗粒上,构建了炎症靶向MRI纳米探针。系统研究表明,纳米探针可以特异性靶向炎症血管内皮细胞,并通过敏感性加权成像(SWI)在体内可视化炎症在抑郁脑中的空间分布,组织学分析进一步证实了这一点。此外,这些由纳米探针成像确定的炎症脑区与先前行为研究中报道的与抑郁症状密切相关的病灶区域一致。总的来说,这是第一个通过分子成像策略直接可视化炎症在抑郁症大脑中的体内分布的研究,这不仅有助于深入了解抑郁症的生物学机制,而且还为进一步开发抗炎疗法提供了抑郁症大脑内的潜在靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Visualizing the spatial distribution of inflammation in the depressed brain with a targeted MRI nanoprobe in vivo
Depression is a prevalent mental illness that imposes a substantial public health burden. However, the diverse clinical phenotypes observed in patients make it difficult to realize precise diagnosis. Recently, accumulating preclinical and clinical evidence has suggested that inflammation is involved in the pathophysiology of depression. Herein, a molecular imaging–based strategy was proposed as a means to diagnose depression precisely by specifically visualizing the inflammation status associated with depression. Inflammation-targeting MRI nanoprobes were constructed by attaching an intercellular cell adhesion molecule-1 (ICAM-1)-targeting peptide to biocompatible Fe3O4 nanoparticles. Systematic studies demonstrated that the nanoprobes could specifically target inflamed vascular endothelial cells and visualize the spatial distribution of inflammation in the depressed brain in vivo through susceptibility-weighted imaging (SWI), which was further confirmed by histological analysis. Additionally, these inflammatory brain regions identified by nanoprobe-based imaging are consistent with the focal regions closely associated with the symptoms of depression as reported in previous behavioral studies. Overall, this is the first study to directly visualize the distribution of inflammation in the depressed brain in vivo through a molecular imaging strategy, which may not only facilitate insight into the biological mechanism underlying depression but also provide a potential target within the depressed brain for the further development of anti-inflammatory therapies. A molecular imaging-based strategy was proposed for precise diagnosing the depression through specifically visualizing the inflammation status associated with depressed brain. The inflammation-targeting MRI nanoprobe that can specifically target the inflamed vascular endothelial cells was constructed through attaching the ICAM-1 targeting peptides on biocompatible Fe3O4 nanoparticle. Through nanoprobe-based SWI, the spatial distribution of inflammation in depressed brain can be mapped in vivo. This strategy not only facilitate insight into the biological mechanism underlying depression, but also provide a target within the depressed brain for the further development of anti-inflammatory therapies.
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来源期刊
Npg Asia Materials
Npg Asia Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
15.40
自引率
1.00%
发文量
87
审稿时长
2 months
期刊介绍: NPG Asia Materials is an open access, international journal that publishes peer-reviewed review and primary research articles in the field of materials sciences. The journal has a global outlook and reach, with a base in the Asia-Pacific region to reflect the significant and growing output of materials research from this area. The target audience for NPG Asia Materials is scientists and researchers involved in materials research, covering a wide range of disciplines including physical and chemical sciences, biotechnology, and nanotechnology. The journal particularly welcomes high-quality articles from rapidly advancing areas that bridge the gap between materials science and engineering, as well as the classical disciplines of physics, chemistry, and biology. NPG Asia Materials is abstracted/indexed in Journal Citation Reports/Science Edition Web of Knowledge, Google Scholar, Chemical Abstract Services, Scopus, Ulrichsweb (ProQuest), and Scirus.
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