Visualizing the spatial distribution of inflammation in the depressed brain with a targeted MRI nanoprobe in vivo
Abstract 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...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-10-01
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| Series: | NPG Asia Materials |
| Online Access: | https://doi.org/10.1038/s41427-023-00505-9 |
| _version_ | 1797274142431510528 |
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| author | Peisen Zhang Jiaoqiong Guan Ni Zhang Lichong Zhu Yu Wang Wenyue Li Zhe Shi Xueyuan Liu Xue Li Meng Qin Yi Hou Yue Lan |
| author_facet | Peisen Zhang Jiaoqiong Guan Ni Zhang Lichong Zhu Yu Wang Wenyue Li Zhe Shi Xueyuan Liu Xue Li Meng Qin Yi Hou Yue Lan |
| author_sort | Peisen Zhang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-07T14:54:08Z |
| format | Article |
| id | doaj.art-13fbbb113548475bbc3537b7d1200208 |
| institution | Directory Open Access Journal |
| issn | 1884-4057 |
| language | English |
| last_indexed | 2024-03-07T14:54:08Z |
| publishDate | 2023-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | NPG Asia Materials |
| spelling | doaj.art-13fbbb113548475bbc3537b7d12002082024-03-05T19:29:40ZengNature PortfolioNPG Asia Materials1884-40572023-10-0115111210.1038/s41427-023-00505-9Visualizing the spatial distribution of inflammation in the depressed brain with a targeted MRI nanoprobe in vivoPeisen Zhang0Jiaoqiong Guan1Ni Zhang2Lichong Zhu3Yu Wang4Wenyue Li5Zhe Shi6Xueyuan Liu7Xue Li8Meng Qin9Yi Hou10Yue Lan11Department of Rehabilitation Medicine, Guangzhou First People’s Hospital, School of Medicine, South China University of TechnologyDepartment of Rehabilitation Medicine, Guangzhou First People’s Hospital, School of Medicine, South China University of TechnologyDepartment of Psychiatry, and National Chengdu Center for Safety Evaluation of Drugs, West China Hospital, Sichuan UniversityCollege of Life Science and Technology, Beijing University of Chemical TechnologyCollege of Life Science and Technology, Beijing University of Chemical TechnologyCollege of Life Science and Technology, Beijing University of Chemical TechnologyKey Laboratory for Quality Evaluation of Bulk Herbs of Hunan Province, Hunan University of Chinese MedicineShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of MedicineDepartment of Rehabilitation Medicine, Guangzhou First People’s Hospital, School of Medicine, South China University of TechnologyCollege of Life Science and Technology, Beijing University of Chemical TechnologyCollege of Life Science and Technology, Beijing University of Chemical TechnologyDepartment of Rehabilitation Medicine, Guangzhou First People’s Hospital, School of Medicine, South China University of TechnologyAbstract 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.https://doi.org/10.1038/s41427-023-00505-9 |
| spellingShingle | Peisen Zhang Jiaoqiong Guan Ni Zhang Lichong Zhu Yu Wang Wenyue Li Zhe Shi Xueyuan Liu Xue Li Meng Qin Yi Hou Yue Lan Visualizing the spatial distribution of inflammation in the depressed brain with a targeted MRI nanoprobe in vivo NPG Asia Materials |
| title | Visualizing the spatial distribution of inflammation in the depressed brain with a targeted MRI nanoprobe in vivo |
| title_full | Visualizing the spatial distribution of inflammation in the depressed brain with a targeted MRI nanoprobe in vivo |
| title_fullStr | Visualizing the spatial distribution of inflammation in the depressed brain with a targeted MRI nanoprobe in vivo |
| title_full_unstemmed | Visualizing the spatial distribution of inflammation in the depressed brain with a targeted MRI nanoprobe in vivo |
| title_short | Visualizing the spatial distribution of inflammation in the depressed brain with a targeted MRI nanoprobe in vivo |
| title_sort | visualizing the spatial distribution of inflammation in the depressed brain with a targeted mri nanoprobe in vivo |
| url | https://doi.org/10.1038/s41427-023-00505-9 |
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