1
|
Dong L, Zhu Y, Zhang H, Gao L, Zhang Z, Xu X, Ying L, Zhang L, Li Y, Yun Z, Zhu D, Han C, Xu T, Yang H, Ju S, Chen X, Zhang H, Xie J. Open-Source Throttling of CD8 + T Cells in Brain with Low-Intensity Focused Ultrasound-Guided Sequential Delivery of CXCL10, IL-2, and aPD-L1 for Glioblastoma Immunotherapy. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2407235. [PMID: 39264011 DOI: 10.1002/adma.202407235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 08/14/2024] [Indexed: 09/13/2024]
Abstract
Improving clinical immunotherapy for glioblastoma (GBM) relies on addressing the immunosuppressive tumor microenvironment (TME). Enhancing CD8+ T cell infiltration and preventing its exhaustion holds promise for effective GBM immunotherapy. Here, a low-intensity focused ultrasound (LIFU)-guided sequential delivery strategy is developed to enhance CD8+ T cells infiltration and activity in the GBM region. The sequential delivery of CXC chemokine ligand 10 (CXCL10) to recruit CD8+ T cells and interleukin-2 (IL-2) to reduce their exhaustion is termed an "open-source throttling" strategy. Consequently, up to 3.39-fold of CD8+ T cells are observed with LIFU-guided sequential delivery of CXCL10, IL-2, and anti-programmed cell death 1 ligand 1 (aPD-L1), compared to the free aPD-L1 group. The immune checkpoint inhibitors (ICIs) therapeutic efficacy is substantially enhanced by the reversed immunosuppressive TME due to the expansion of CD8+ T cells, resulting in the elimination of tumor, prolonged survival time, and long-term immune memory establishment in orthotopic GBM mice. Overall, LIFU-guided sequential cytokine and ICIs delivery offers an "open-source throttling" strategy of CD8+ T cells, which may present a promising strategy for brain-tumor immunotherapy.
Collapse
Affiliation(s)
- Lei Dong
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology; Department of Oncology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, China
| | - Yini Zhu
- Department of Microbiology and Immunology, Medical School of Southeast University, Nanjing, Jiangsu, 210009, China
| | - Haoge Zhang
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Basic Medicine Research and Innovation Center of Ministry of Education, State Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Lin Gao
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Basic Medicine Research and Innovation Center of Ministry of Education, State Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Zhiqi Zhang
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Basic Medicine Research and Innovation Center of Ministry of Education, State Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Xiaoxuan Xu
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Basic Medicine Research and Innovation Center of Ministry of Education, State Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Leqian Ying
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology; Department of Oncology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, China
| | - Lu Zhang
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology; Department of Oncology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, China
| | - Yue Li
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau SAR, 999078, China
| | - Zhengcheng Yun
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology; Department of Oncology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, China
| | - Danqi Zhu
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Basic Medicine Research and Innovation Center of Ministry of Education, State Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Chang Han
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Basic Medicine Research and Innovation Center of Ministry of Education, State Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Tingting Xu
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology; Department of Oncology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, China
| | - Hui Yang
- Department of Biochemistry and Molecular Biology, Medical School of Southeast University, Nanjing, China
| | - Shenghong Ju
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Basic Medicine Research and Innovation Center of Ministry of Education, State Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Xiaoyuan Chen
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Basic Medicine Research and Innovation Center of Ministry of Education, State Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Haijun Zhang
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology; Department of Oncology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, China
| | - Jinbing Xie
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Basic Medicine Research and Innovation Center of Ministry of Education, State Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| |
Collapse
|
2
|
Tan ZQ, Ooi EH, Chiew YS, Foo JJ, Ng YK, Ooi ET. Enhancing sonothrombolysis outcomes with dual-frequency ultrasound: Insights from an in silico microbubble dynamics study. Comput Biol Med 2024; 181:109061. [PMID: 39186904 DOI: 10.1016/j.compbiomed.2024.109061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 08/07/2024] [Accepted: 08/20/2024] [Indexed: 08/28/2024]
Abstract
Sonothrombolysis is a technique that employs the ultrasound waves to break down the clot. Recent studies have demonstrated significant improvement in the treatment efficacy when combining two ultrasound waves of different frequencies. Nevertheless, the findings remain conflicted on the ideal frequency pairing that leads to an optimal treatment outcome. Existing experimental studies are constrained by the limited range of frequencies that can be investigated, while numerical studies are typically confined to spherical microbubble dynamics, thereby restricting the scope of the analysis. To overcome this, the present study investigated the microbubble dynamics caused by the different combinations of ultrasound frequencies. This was carried out using computational modelling as it enables the visualisation of the microbubble behaviour, which is difficult in experimental studies due to the opacity of blood. The results showed that the pairings of two ultrasound waves with low frequencies generally produced stronger cavitation and higher flow-induced shear stress on the clot surface. However, one should avoid the frequency pairings that are integer multipliers of each other, i.e., frequency ratio of 1/3, 1/2 and 2, as they led to resultant wave with low pressure amplitude that weakened the cavitation. At 0.5 + 0.85 MHz, the microbubble caused the highest shear stress of 60.5 kPa, due to its large translational distance towards the clot. Although the pressure threshold for inertial cavitation was reduced using dual-frequency ultrasound, the impact of the high-speed jet can only be realised when the microbubble travelled close to the clot. The results obtained from the present study provide groundwork for deeper understanding on the microbubble dynamics during dual-frequency sonothrombolysis, which is of paramount importance for its optimisations and the subsequent clinical translation.
Collapse
Affiliation(s)
- Zhi Qi Tan
- Department of Mechanical Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia; Medical Engineering and Technology Hub, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia
| | - Ean H Ooi
- Department of Mechanical Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia; Medical Engineering and Technology Hub, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia.
| | - Yeong Shiong Chiew
- Department of Mechanical Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia; Medical Engineering and Technology Hub, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia
| | - Ji Jinn Foo
- Department of Mechanical Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia
| | - Yin Kwee Ng
- School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
| | - Ean Tat Ooi
- School of Engineering and Information Technology, Faculty of Science and Technology, Federation University, VIC 3350, Australia
| |
Collapse
|
3
|
Edsall C, Huynh L, Mustafa W, Hall TL, Durmaz YY, Vlaisavljevich E. Nanoparticle-Mediated Histotripsy Using Dual-Frequency Pulsing Methods. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:1214-1223. [PMID: 38797630 DOI: 10.1016/j.ultrasmedbio.2024.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 04/19/2024] [Accepted: 04/21/2024] [Indexed: 05/29/2024]
Abstract
OBJECTIVE Nanoparticle-mediated histotripsy (NMH) is a novel ablation method that combines nanoparticles as artificial cavitation nuclei with focused ultrasound pulsing to achieve targeted, non-invasive, and cell-selective tumor ablation. The study described here examined the effect of dual-frequency histotripsy pulsing on the cavitation threshold, bubble cloud characteristics, and ablative efficiency in NMH. High-speed optical imaging was used to analyze bubble cloud characteristics and to measure ablation efficiency for NMH inside agarose tissue phantoms containing perfluorohexane-filled nanocone clusters, which were previously developed to reduce the histotripsy cavitation threshold for NMH. METHODS Dual-frequency histotripsy pulsing was applied at a 1:1 pressure ratio using a modular 500 kHz and 3 MHz dual-frequency array transducer. Optical imaging results revealed predictable, well-defined bubble clouds generated for all tested cases with similar reductions in the cavitation thresholds observed for single-frequency and dual-frequency pulsing. RESULTS Dual-frequency pulsing was seen to nucleate small, dense clouds in agarose phantoms, intermediate in size of their component frequencies but closer in area to that of the higher component frequency. Red blood cell experiments revealed complete ablations were generated by dual-frequency NMH in all phantoms in <1500 pulses. This result was a significant increase in ablation efficiency compared with the ∼4000 pulses required in prior single-frequency NMH studies. CONCLUSION Overall, this study indicates the potential for using dual-frequency histotripsy methods to increase the ablation efficacy of NMH.
Collapse
Affiliation(s)
- Connor Edsall
- Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
| | - Laura Huynh
- Department of Materials Science and Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Waleed Mustafa
- Department of Biomedical Engineering, Istanbul Medipol University, İstanbul, Turkey
| | - Timothy L Hall
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Yasemin Yuksel Durmaz
- Department of Biomedical Engineering, Istanbul Medipol University, İstanbul, Turkey; Research Institute of Health Science and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey
| | - Eli Vlaisavljevich
- Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA; ICTAS Center for Engineered Health, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| |
Collapse
|
4
|
Tu B, Li Y, Wen W, Liu J. Bibliometric and visualized analysis of ultrasound combined with microbubble therapy technology from 2009 to 2023. Front Pharmacol 2024; 15:1418142. [PMID: 39119614 PMCID: PMC11306066 DOI: 10.3389/fphar.2024.1418142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 07/04/2024] [Indexed: 08/10/2024] Open
Abstract
Background In recent years, with the rapid advancement of fundamental ultrasonography research, the application of ultrasound in disease treatment has progressively increased. An increasing body of research indicates that microbubbles serve not only as contrast agents but also in conjunction with ultrasound, enhancing cavitation effects and facilitating targeted drug delivery, thereby augmenting therapeutic efficacy. The objective of this study is to explore the current status and prevailing research trends in this field from 2009 to 2023 through bibliometric analysis and to forecast future developmental trajectories. Methods We selected the Science Citation Index Expanded (SCI-Expanded) from the Web of Science Core Collection (WOSCC) as our primary data source. On 19 January 2024, we conducted a comprehensive search encompassing all articles and reviews published between 2009 and 2023 and utilized the bibliometric online analysis platform, CiteSpace and VOSviewer software to analyze countries/regions, institutions, authors, keywords, and references, used Microsoft Excel 2021 to visualize the trends of the number of articles published by year. Results Between 1 January 2009, and 31 December 2023, 3,326 publications on ultrasound combined with microbubble therapy technology were included. There were a total of 2,846 articles (85.6%) and 480 reviews (14.4%) from 13,062 scholars in 68 countries/regions published in 782 journals. China and the United States emerged as the primary contributors in this domain. In terms of publication output and global institutional collaboration, the University of Toronto in Canada has made the most significant contribution to this field. Professor Kullervo Hynynen has achieved remarkable accomplishments in this area. Ultrasound in Medicine and Biology is at the core of the publishing of research on ultrasound combined with microbubble therapy technology. Keywords such as "sonodynamic therapy," "oxygen," "loaded microbubbles" and "Alzheimer's disease" indicate emerging trends in the field and hold the potential to evolve into significant areas of future investigation. Conclusion This study provides a summary of the key contributions of ultrasound combined with microbubble therapy to the field's development over the past 15 years and delves into the historical underpinnings and contemporary trends of ultrasound combined with microbubble therapy technology, providing valuable guidance for researchers.
Collapse
Affiliation(s)
- Bin Tu
- Department of Ultrasound, First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Yan Li
- Department of Nephrology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Wen Wen
- Department of Ultrasound, First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Jian Liu
- Department of Ultrasound, First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| |
Collapse
|
5
|
Liu J, You Q, Liang F, Ma L, Zhu L, Wang C, Yang Y. Ultrasound-nanovesicles interplay for theranostics. Adv Drug Deliv Rev 2024; 205:115176. [PMID: 38199256 DOI: 10.1016/j.addr.2023.115176] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/04/2023] [Accepted: 12/31/2023] [Indexed: 01/12/2024]
Abstract
Nanovesicles (NVs) are widely used in the treatment and diagnosis of diseases due to their excellent vascular permeability, good biocompatibility, high loading capacity, and easy functionalization. However, their yield and in vivo penetration depth limitations and their complex preparation processes still constrain their application and development. Ultrasound, as a fundamental external stimulus with deep tissue penetration, concentrated energy sources, and good safety, has been proven to be a patient-friendly and highly efficient strategy to overcome the restrictions of traditional clinical medicine. Recent research has shown that ultrasound can drive the generation of NVs, increase their yield, simplify their preparation process, and provide direct therapeutic effects and intelligent control to enhance the therapeutic effect of NVs. In addition, NVs, as excellent drug carriers, can enhance the targeting efficiency of ultrasound-based sonodynamic therapy or sonogenetic regulation and improve the accuracy of ultrasound imaging. This review provides a detailed introduction to the classification, generation, and modification strategies of NVs, emphasizing the impact of ultrasound on the formation of NVs and summarizing the enhanced treatment and diagnostic effects of NVs combined with ultrasound for various diseases.
Collapse
Affiliation(s)
- Jingyi Liu
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qing You
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Fuming Liang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China; Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Lilusi Ma
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ling Zhu
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Chen Wang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Yanlian Yang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| |
Collapse
|