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Li Z, Lai M, Zhao S, Zhou Y, Luo J, Hao Y, Xie L, Wang Y, Yan F. Ultrasound Molecular Imaging for Multiple Biomarkers by Serial Collapse of Targeting Microbubbles with Distinct Acoustic Pressures. Small 2022; 18:e2108040. [PMID: 35499188 DOI: 10.1002/smll.202108040] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 04/08/2022] [Indexed: 06/14/2023]
Abstract
Ultrasound molecular imaging (UMI) has shown promise for assessing the expression levels of biomarkers for the early detection of various diseases. However, it remains difficult to simultaneously image multiple biomarkers in a single systemic administration, which is important for the accurate diagnosis of diseases and for understanding the dynamic intermolecular mechanisms that drive their malignant progression. The authors develop an ultrasound molecular imaging method by serial collapse of targeting microbubbles with distinct acoustic pressures for the simultaneous detection of two biomarkers. To test this, αv β3 -targeting lipid microbubbles (L-MBα ) and VEGFR2-targeting lipid-PLGA microbubbles (LP-MBv ) are fabricated and simultaneously injected into tumor-bearing mice at 7 and 14 days, followed by the low-intensity acoustic collapse of L-MBα and high-intensity acoustic collapse of LP-MBv . The UMI signals of L-MBα and LP-MBv are obtained by subtracting the first post-burst signals from the first pre-burst signals, and subtracting the second post-burst signals from the first post-burst signals, respectively. Interestingly, the signal intensities from UMI agree with the immunohistochemical staining results for αv β3 and VEGFR2. Importantly, they find a better fit for the invasive behavior of MDA-MB-231 breast tumors by analyzing the ratio of αv β3 integrin to VEGFR2, but not the single αv β3 or VEGFR2 levels.
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Affiliation(s)
- Zhenzhou Li
- Department of Ultrasound, The Second People's Hospital of Shenzhen, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518061, P. R. China
- Shenzhen University Health Science Center, Shenzhen, 518000, P. R. China
| | - Manlin Lai
- Department of Ultrasound, The Second People's Hospital of Shenzhen, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518061, P. R. China
- Shenzhen University Health Science Center, Shenzhen, 518000, P. R. China
| | - Shuai Zhao
- Department of Ultrasound, Suzhou Hospital of Anhui Medical University (Suzhou Municipal Hospital of Anhui Province), Suzhou, 234000, P. R. China
| | - Yi Zhou
- Department of Ultrasound, The Second People's Hospital of Shenzhen, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518061, P. R. China
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, P. R. China
| | - Jingna Luo
- Department of Ultrasound, The Second People's Hospital of Shenzhen, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518061, P. R. China
- Shenzhen University Health Science Center, Shenzhen, 518000, P. R. China
| | - Yongsheng Hao
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China
| | - Liting Xie
- Department of Ultrasound, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, P. R. China
| | - Yaru Wang
- Department of Radiology, Suzhou Hospital of Anhui Medical University (Suzhou Municipal Hospital of Anhui Province), Suzhou, 234000, P. R. China
| | - Fei Yan
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China
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