1
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Dai T, Rich LJ, Seshadri M, Dasgupta S. Protocol to detect and quantify tumor hypoxia in mice using photoacoustic imaging. STAR Protoc 2024; 5:102993. [PMID: 38568814 PMCID: PMC10999710 DOI: 10.1016/j.xpro.2024.102993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/05/2024] [Accepted: 03/15/2024] [Indexed: 04/05/2024] Open
Abstract
Photoacoustic imaging (PAI) with co-registered ultrasound (US) is a hybrid non-invasive imaging modality that enables visualization and quantification of tumor hypoxia in live animals. Here, using a breast tumor xenograft model as an example, we present a stepwise protocol describing animal preparation, positioning, instrument setup, and US-PAI image acquisition procedures. This protocol also guides through detailed data analysis, explains functional readouts obtained from PAI, and discusses the potential application of the technology to study the hypoxic tumor microenvironment. For complete details on the use and execution of this protocol, please refer to Dai et al.1.
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Affiliation(s)
- Tao Dai
- Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Laurie J Rich
- FUJIFILM VisualSonics, Inc, Toronto, ON, Canada; Department of Oral Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Mukund Seshadri
- Department of Oral Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
| | - Subhamoy Dasgupta
- Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
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2
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Yu Y, Feng T, Qiu H, Gu Y, Chen Q, Zuo C, Ma H. Simultaneous photoacoustic and ultrasound imaging: A review. ULTRASONICS 2024; 139:107277. [PMID: 38460216 DOI: 10.1016/j.ultras.2024.107277] [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: 09/10/2023] [Revised: 01/09/2024] [Accepted: 02/26/2024] [Indexed: 03/11/2024]
Abstract
Photoacoustic imaging (PAI) is an emerging biomedical imaging technique that combines the advantages of optical and ultrasound imaging, enabling the generation of images with both optical resolution and acoustic penetration depth. By leveraging similar signal acquisition and processing methods, the integration of photoacoustic and ultrasound imaging has introduced a novel hybrid imaging modality suitable for clinical applications. Photoacoustic-ultrasound imaging allows for non-invasive, high-resolution, and deep-penetrating imaging, providing a wealth of image information. In recent years, with the deepening research and the expanding biomedical application scenarios of photoacoustic-ultrasound bimodal systems, the immense potential of photoacoustic-ultrasound bimodal imaging in basic research and clinical applications has been demonstrated, with some research achievements already commercialized. In this review, we introduce the principles, technical advantages, and biomedical applications of photoacoustic-ultrasound bimodal imaging techniques, specifically focusing on tomographic, microscopic, and endoscopic imaging modalities. Furthermore, we discuss the future directions of photoacoustic-ultrasound bimodal imaging technology.
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Affiliation(s)
- Yinshi Yu
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China
| | - Ting Feng
- Academy for Engineering & Technology, Fudan University, Shanghai 200433,China.
| | - Haixia Qiu
- First Medical Center of PLA General Hospital, Beijing, China
| | - Ying Gu
- First Medical Center of PLA General Hospital, Beijing, China
| | - Qian Chen
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China
| | - Chao Zuo
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China.
| | - Haigang Ma
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China.
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3
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Singh N, Chérin E, Roa CF, Soenjaya Y, Wodlinger B, Zheng G, Wilson BC, Foster FS, Demore CEM. Adaptation of a Clinical High-Frequency Transrectal Ultrasound System for Prostate Photoacoustic Imaging: Implementation and Pre-clinical Demonstration. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:457-466. [PMID: 38238200 DOI: 10.1016/j.ultrasmedbio.2023.11.010] [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: 06/02/2023] [Revised: 11/06/2023] [Accepted: 11/19/2023] [Indexed: 02/17/2024]
Abstract
OBJECTIVE High-frequency, high-resolution transrectal micro-ultrasound (micro-US: ≥15 MHz) imaging of the prostate is emerging as a beneficial tool for scoring disease risk and accurately targeting biopsies. Adding photoacoustic (PA) imaging to visualize abnormal vascularization and accumulation of contrast agents in tumors has potential for guiding focal therapies. In this work, we describe a new imaging platform that combines a transrectal micro-US system with transurethral light delivery for PA imaging. METHODS A clinical transrectal micro-US system was adapted to acquire PA images synchronous to a tunable laser pulse. A transurethral side-firing optical fiber was developed for light delivery. A polyvinyl chloride (PVC)-plastisol phantom was developed and characterized to image PA contrast agents in wall-less channels. After resolution measurement in water, PA imaging was demonstrated in phantom channels with dyes and biodegradable nanoparticle contrast agents called porphysomes. In vivo imaging of a tumor model was performed, with porphysomes administered intravenously. RESULTS Photoacoustic imaging data were acquired at 5 Hz, and image reconstruction was performed offline. PA image resolution at a 14-mm depth was 74 and 261 μm in the axial and lateral directions, respectively. The speed of sound in PVC-plastisol was 1383 m/s, and the attenuation was 4 dB/mm at 20 MHz. PA signal from porphysomes was spectrally unmixed from blood signals in the tumor, and a signal increase was observed 3 h after porphysome injection. CONCLUSION A combined transrectal micro-US and PA imaging system was developed and characterized, and in vivo imaging demonstrated. High-resolution PA imaging may provide valuable additional information for diagnostic and therapeutic applications in the prostate.
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Affiliation(s)
- Nidhi Singh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Sunnybrook Research Institute, Toronto, ON, Canada.
| | | | - Carlos-Felipe Roa
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Sunnybrook Research Institute, Toronto, ON, Canada
| | | | | | - Gang Zheng
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Princess Margret Cancer Center, Toronto, ON, Canada
| | - Brian C Wilson
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Princess Margret Cancer Center, Toronto, ON, Canada
| | - F Stuart Foster
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Sunnybrook Research Institute, Toronto, ON, Canada
| | - Christine E M Demore
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Sunnybrook Research Institute, Toronto, ON, Canada
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4
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Sweeney A, Arora A, Edwards S, Mallidi S. Ultrasound-guided Photoacoustic image Annotation Toolkit in MATLAB (PHANTOM) for preclinical applications. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.07.565885. [PMID: 37986998 PMCID: PMC10659350 DOI: 10.1101/2023.11.07.565885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Depth-dependent fluence-compensation in photoacoustic (PA) imaging is paramount for accurate quantification of chromophores from deep tissues. Here we present a user-friendly toolkit named PHANTOM (PHotoacoustic ANnotation TOolkit for MATLAB) that includes a graphical interface and assists in the segmentation of ultrasound-guided PA images. We modelled the light source configuration with Monte Carlo eXtreme and utilized 3D segmented tissues from ultrasound to generate fluence maps to depth compensate PA images. The methodology was used to analyze PA images of phantoms with varying blood oxygenation and results were validated with oxygen electrode measurements. Two preclinical models, a subcutaneous tumor and a calcified placenta, were imaged and fluence-compensated using the PHANTOM toolkit and the results were verified with immunohistochemistry. The PHANTOM toolkit provides scripts and auxiliary functions to enable biomedical researchers not specialized in optical imaging to apply fluence correction to PA images, enhancing accessibility of quantitative PAI for researchers in various fields.
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Affiliation(s)
- Allison Sweeney
- Department of Biomedical Engineering, Tufts University, Medford, MA, United States
| | - Aayush Arora
- Department of Biomedical Engineering, Tufts University, Medford, MA, United States
| | - Skye Edwards
- Department of Biomedical Engineering, Tufts University, Medford, MA, United States
| | - Srivalleesha Mallidi
- Department of Biomedical Engineering, Tufts University, Medford, MA, United States
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, United States
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5
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Perez RC, Kim D, Maxwell AWP, Camacho JC. Functional Imaging of Hypoxia: PET and MRI. Cancers (Basel) 2023; 15:3336. [PMID: 37444446 DOI: 10.3390/cancers15133336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/22/2023] [Accepted: 06/22/2023] [Indexed: 07/15/2023] Open
Abstract
Molecular and functional imaging have critical roles in cancer care. Existing evidence suggests that noninvasive detection of hypoxia within a particular type of cancer can provide new information regarding the relationship between hypoxia, cancer aggressiveness and altered therapeutic responses. Following the identification of hypoxia inducible factor (HIF), significant progress in understanding the regulation of hypoxia-induced genes has been made. These advances have provided the ability to therapeutically target HIF and tumor-associated hypoxia. Therefore, by utilizing the molecular basis of hypoxia, hypoxia-based theranostic strategies are in the process of being developed which will further personalize care for cancer patients. The aim of this review is to provide an overview of the significance of tumor hypoxia and its relevance in cancer management as well as to lay out the role of imaging in detecting hypoxia within the context of cancer.
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Affiliation(s)
- Ryan C Perez
- Florida State University College of Medicine, Tallahassee, FL 32306, USA
| | - DaeHee Kim
- Department of Diagnostic Imaging, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Aaron W P Maxwell
- Department of Diagnostic Imaging, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Juan C Camacho
- Department of Clinical Sciences, Florida State University College of Medicine, Tallahassee, FL 32306, USA
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6
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Juni RP, Kocken JMM, Abreu RC, Ottaviani L, Davalan T, Duygu B, Poels EM, Vasilevich A, Hegenbarth JC, Appari M, Bitsch N, Olieslagers S, Schrijvers DM, Stoll M, Heineke J, de Boer J, de Windt LJ, da Costa Martins PA. MicroRNA-216a is essential for cardiac angiogenesis. Mol Ther 2023; 31:1807-1828. [PMID: 37073128 PMCID: PMC10277893 DOI: 10.1016/j.ymthe.2023.04.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/18/2023] [Accepted: 04/12/2023] [Indexed: 04/20/2023] Open
Abstract
While it is experimentally supported that impaired myocardial vascularization contributes to a mismatch between myocardial oxygen demand and supply, a mechanistic basis for disruption of coordinated tissue growth and angiogenesis in heart failure remains poorly understood. Silencing strategies that impair microRNA biogenesis have firmly implicated microRNAs in the regulation of angiogenesis, and individual microRNAs prove to be crucial in developmental or tumor angiogenesis. A high-throughput functional screening for the analysis of a whole-genome microRNA silencing library with regard to their phenotypic effect on endothelial cell proliferation as a key parameter, revealed several anti- and pro-proliferative microRNAs. Among those was miR-216a, a pro-angiogenic microRNA which is enriched in cardiac microvascular endothelial cells and reduced in expression under cardiac stress conditions. miR-216a null mice display dramatic cardiac phenotypes related to impaired myocardial vascularization and unbalanced autophagy and inflammation, supporting a model where microRNA regulation of microvascularization impacts the cardiac response to stress.
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Affiliation(s)
- Rio P Juni
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands; Department of Physiology, Amsterdam University Medical Centers, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Jordy M M Kocken
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Ricardo C Abreu
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands; Biomaterials and Stem Cell Based Therapeutics Group, CNC-Center for Neuroscience and Cell Biology, CIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, UC, Biotech Parque Tecnológico de Cantanhede, 3060-197 Coimbra, Portugal
| | - Lara Ottaviani
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Tim Davalan
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Burcu Duygu
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Ella M Poels
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Aliaksei Vasilevich
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, University of Eindhoven, Eindhoven, the Netherlands
| | - Jana C Hegenbarth
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Mahesh Appari
- Division of Cardiovascular Medicine, British Heart Foundation Centre of Research Excellence, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU United Kingdom
| | - Nicole Bitsch
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Serve Olieslagers
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Dorien M Schrijvers
- Laboratory of Physiopharmacology, University of Antwerp, 2610 Wilrijk, Belgium
| | - Monika Stoll
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, 48149 Münster, Germany; Department of Biochemistry, CARIM School for Cardiovascular Diseases, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Joerg Heineke
- Department of Cardiovascular Physiology, European Center for Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany; DZHK, Partner Site Heidelberg/Mannheim, 69120 Heidelberg, Germany
| | - Jan de Boer
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, University of Eindhoven, Eindhoven, the Netherlands
| | - Leon J de Windt
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Paula A da Costa Martins
- CARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, the Netherlands; Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, 4200-319 Porto, Portugal.
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7
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Zhou M, Zhang L, Zeng J, Lan Y, He F, Gao W, Li J, Wang Q, Guo W, Yuan Z, Zhang J. Visualizing the early-stage testicular torsion by dual-modal photoacoustic and ultrasound imaging. PHOTOACOUSTICS 2023; 31:100523. [PMID: 37362871 PMCID: PMC10285283 DOI: 10.1016/j.pacs.2023.100523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/27/2023] [Accepted: 06/08/2023] [Indexed: 06/28/2023]
Abstract
Delayed treatment of testicular torsion (TT) can lead to permanent loss of reproductive capacity. Photoacoustic imaging (PAI) and ultrasound imaging (USI) was tested for detecting TT at early stage in mice based on PAI-obtained oxygen saturation (sO2), and USI-collected color pixel density (CPD), peak systolic velocity (PSV) and resistance index (RI). For complete TT, both CPD (9.08 % ± 3.084 to almost zero) and sO2 data (70.09 % ± 1.656-59.84 % ± 1.427) showed an significant change 2 h post-torsion. For incomplete TT, sO2 data exhibited a strong time relationship (Mean values: 6 h, 64.83 % ± 1.898; 12 h, 60.67 % ± 3.555; 24 h, 57.85 % ± 3.575; P < 0.05). However, USI-collected CPD, PSV or IR data from the same TT models showed no significant difference. This study indicated that USI and PAI could identify complete TT. Meanwhile, PAI has shown great potential in the diagnosis of incomplete TT within 24 h based on time-related sO2 map.
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Affiliation(s)
- Mengyu Zhou
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China
- Guangdong Engine Research Center of Urinary Continence and Reproductive Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, Guangdong, China
| | - Luting Zhang
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jianwen Zeng
- Guangdong Engine Research Center of Urinary Continence and Reproductive Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, Guangdong, China
| | - Yintao Lan
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health—Guangdong Laboratory), Guangzhou, Guangdong, China
| | - Fengbing He
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Weijian Gao
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jinghang Li
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Qian Wang
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Weisheng Guo
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zhen Yuan
- Faculty of Health Sciences, University of Macao, Macao, China
| | - Jian Zhang
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China
- Guangdong Engine Research Center of Urinary Continence and Reproductive Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, Guangdong, China
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Gadallah MT, Mohamed AEA, Hefnawy A, Zidan H, El-banby G, Badawy SM. A Mathematical Model for Simulating Photoacoustic Signal Generation Process in Biological Tissues.. [DOI: 10.21203/rs.3.rs-2928563/v2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Abstract
Background: Biomedical photoacoustic imaging (PAI) is a hybrid imaging modality based on the laser-generated ultrasound waves due to the photoacoustic (PA) effect physical phenomenon that has been reported firstly by A. G. Bell in 1880. Numerical modeling-based simulation for the PA signal generation process in biological tissues helps researchers for decreasing error trials in-vitro and hence decreasing error rates for in-vivo experiments. Numerical modeling methods help in obtaining a rapid modeling procedure comparable to pure mathematics. However, if a proper simplified mathematical model can be founded before applying numerical modeling techniques, it will be a great advantage for the overall numerical model. Most scientific theories, equations, and assumptions, been proposed to mathematically model the complete PA signal generation and propagation process in biological tissues, are so complicated. Hence, the researchers, especially the beginners, will find a hard difficulty to explore and obtain a proper simplified mathematical model describing the process. That’s why this paper is introduced.
Methods: In this paper we have tried to simplify understanding for the biomedical PA wave’s generation and propagation process, deducing a simplified mathematical model for the whole process. The proposed deduced model is based on three steps: a- pulsed laser irradiance, b- diffusion of light through biological tissue, and c- acoustic pressure wave generation and propagation from the target tissue to the ultrasound transducer surface. COMSOL Multiphysics, which is founded due to the finite element method (FEM) numerical modeling principle, has been utilized to validate the proposed deduced mathematical model on a simulated biological tissue including a tumor inside.
Results and Conclusion: The time-dependent study been applied by COMSOL has assured that the proposed deduced mathematical model may be considered as a simplified, easy, and fast startup base for scientific researchers to numerically model and simulate biomedical PA signals’ generation and propagation process utilizing any proper software like COMSOL.
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9
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Gadallah MT, Mohamed AEA, Hefnawy A, Zidan H, El-banby G, Badawy SM. A Mathematical Model for Simulating Photoacoustic Signal Generation Process in Biological Tissues.. [DOI: 10.21203/rs.3.rs-2928563/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Abstract
Background
Biomedical photoacoustic imaging (PAI) is a hybrid imaging modality based on the laser-generated ultrasound waves due to the photoacoustic (PA) effect physical phenomenon that has been reported firstly by A. G. Bell in 1880. Numerical modeling based simulation for PA signal generation process in biological tissues helps researchers for decreasing error trials in-vitro and hence decreasing error rates for in-vivo experiments. Numerical modeling methods help in obtaining a rapid modeling procedure comparable to pure mathematics. However, if a proper simplified mathematical model can be founded before applying numerical modeling techniques, it will be a great advantage for the overall numerical model. More scientific theories, equations, and assumptions through the biomedical PA imaging research literature have been proposed trying to mathematically model the complete PA signal generation and propagation process in biological tissues. However, most of them have so complicated details. Hence, the researchers, especially the beginners, will find a hard difficulty to explore and obtain a proper simplified mathematical model describing the process. That’s why this paper is introduced.
Methods
In this paper we have tried to simplify understanding for the biomedical PA wave’s generation and propagation process, deducing a simplified mathematical model for the whole process. The proposed deduced model is based on three steps: a- pulsed laser irradiance, b- diffusion of light through biological tissue, and c- acoustic pressure wave generation and propagation from the target tissue to the ultrasound transducer surface.
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10
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Barnhart BK, Kan T, Srivastava A, Wessner CE, Waters J, Ambelil M, Eisenbrey JR, Hoek JB, Vadigepalli R. Longitudinal ultrasound imaging and network modeling in rats reveal sex-dependent suppression of liver regeneration after resection in alcoholic liver disease. Front Physiol 2023; 14:1102393. [PMID: 36969577 PMCID: PMC10033530 DOI: 10.3389/fphys.2023.1102393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 02/28/2023] [Indexed: 03/11/2023] Open
Abstract
Liver resection is an important surgical technique in the treatment of cancers and transplantation. We used ultrasound imaging to study the dynamics of liver regeneration following two-thirds partial hepatectomy (PHx) in male and female rats fed via Lieber-deCarli liquid diet protocol of ethanol or isocaloric control or chow for 5–7 weeks. Ethanol-fed male rats did not recover liver volume to the pre-surgery levels over the course of 2 weeks after surgery. By contrast, ethanol-fed female rats as well as controls of both sexes showed normal volume recovery. Contrary to expectations, transient increases in both portal and hepatic artery blood flow rates were seen in most animals, with ethanol-fed males showing higher peak portal flow than any other experimental group. A computational model of liver regeneration was used to evaluate the contribution of physiological stimuli and estimate the animal-specific parameter intervals. The results implicate lower metabolic load, over a wide range of cell death sensitivity, in matching the model simulations to experimental data of ethanol-fed male rats. However, in the ethanol-fed female rats and controls of both sexes, metabolic load was higher and in combination with cell death sensitivity matched the observed volume recovery dynamics. We conclude that adaptation to chronic ethanol intake has a sex-dependent impact on liver volume recovery following liver resection, likely mediated by differences in the physiological stimuli or cell death responses that govern the regeneration process. Immunohistochemical analysis of pre- and post-resection liver tissue validated the results of computational modeling by associating lack of sensitivity to cell death with lower rates of cell death in ethanol-fed male rats. Our results illustrate the potential for non-invasive ultrasound imaging to assess liver volume recovery towards supporting development of clinically relevant computational models of liver regeneration.
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Affiliation(s)
- Benjamin K. Barnhart
- Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Toshiki Kan
- Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Ankita Srivastava
- Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Corinne E. Wessner
- Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - John Waters
- Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Manju Ambelil
- Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - John R. Eisenbrey
- Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Jan B. Hoek
- Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Rajanikanth Vadigepalli
- Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania
- *Correspondence: Rajanikanth Vadigepalli,
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11
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Messerschmidt V, Ren W, Tsipursky M, Irudayaraj J. Characterization of Oxygen Nanobubbles and In Vitro Evaluation of Retinal Cells in Hypoxia. Transl Vis Sci Technol 2023; 12:16. [PMID: 36763051 PMCID: PMC9927786 DOI: 10.1167/tvst.12.2.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023] Open
Abstract
Purpose Vein or artery occlusion causes a hypoxic environment by preventing oxygen delivery and diffusion to tissues. Diseases such as retinal vein occlusion, central retinal artery occlusion, or diabetic retinopathy create a stroke-type condition that leads to functional blindness in the effected eye. We aim to develop an oxygen delivery system consisting of oxygen nanobubbles (ONBs) that can mitigate retinal ischemia during a severe hypoxic event such as central retinal artery occlusion. Methods ONBs were synthesized to encapsulate oxygen saturated molecular medical grade water. Stability, oxygen release, biocompatibility, reactive oxygen species, superoxide, MTT, and terminal uridine nick-end labeling assays were performed. Cell viability was evaluated, and safety experiments were conducted in rabbits. Results The ONBs were approximately 220 nm in diameter, with a zeta potential of -58.8 mV. Oxygen release studies indicated that 74.06 µg of O2 is released from the ONBs after 12 hours at 37°C. Cell studies indicated that ONBs are safe and cells are viable. There was no significant increase in reactive oxygen species, superoxide, or double-stranded DNA damage after ONB treatment. ONBs preserve mitochondrial function and viability. Histological sections from rabbit eyes indicated that ONBs were not toxic. Conclusions The ONBs proposed have excellent oxygen holding and release properties to mitigate ischemic conditions in the retina. They are sterile, stable, and nontoxic. Translation Relevance ONB technology was evaluated for its physical properties, oxygen release, sterility, stability, and safety. Our results indicate that ONBs could be a viable treatment approach to mitigate hypoxia during ischemic conditions in the eye upon timely administration.
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Affiliation(s)
- Victoria Messerschmidt
- Biomedical Research Centre (BRC), Mills Breast Cancer Institute, Carle Foundation Hospital, Urbana, IL, USA
| | - Wen Ren
- Biomedical Research Centre (BRC), Mills Breast Cancer Institute, Carle Foundation Hospital, Urbana, IL, USA,Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Michael Tsipursky
- Vitreo-Retinal Surgery, Ophthalmology Department, Carle Foundation Hospital, Champaign, IL, USA,Carle-Illinois College of Medicine, Champaign, IL, USA
| | - Joseph Irudayaraj
- Biomedical Research Centre (BRC), Mills Breast Cancer Institute, Carle Foundation Hospital, Urbana, IL, USA,Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA,Carle-Illinois College of Medicine, Champaign, IL, USA,Beckman Institute; Holonyak Micro and Nanotechnology Laboratory; Carl Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
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12
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Menger MM, Körbel C, Bauer D, Bleimehl M, Tobias AL, Braun BJ, Herath SC, Rollmann MF, Laschke MW, Menger MD, Histing T. Photoacoustic imaging for the study of oxygen saturation and total hemoglobin in bone healing and non-union formation. PHOTOACOUSTICS 2022; 28:100409. [PMID: 36213763 PMCID: PMC9535319 DOI: 10.1016/j.pacs.2022.100409] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 08/14/2022] [Accepted: 09/25/2022] [Indexed: 06/16/2023]
Abstract
Non-union formation represents a major complication in trauma surgery. Adequate vascularization has been recognized as vital for bone healing. However, the role of vascularization in the pathophysiology of non-union formation remains elusive. This is due to difficulties in studying bone microcirculation in vivo. Therefore, we herein studied in a murine osteotomy model whether photoacoustic imaging may be used to analyze vascularization in bone healing and non-union formation. We found that oxygen saturation within the callus tissue is significantly lower in non-unions compared to unions and further declines over time. Moreover, the amount of total hemoglobin (HbT) within the callus tissue was markedly reduced in non-unions. Correlation analyses showed a strong positive correlation between microvessel density and HbT, indicating that photoacoustically determined HbT is a valid parameter to assess vascularization during bone healing. In summary, photoacoustic imaging is a promising approach to study vascular function and tissue oxygenation in bone regeneration.
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Affiliation(s)
- Maximilian M. Menger
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
- Institute for Clinical & Experimental Surgery, Saarland University, 66421 Homburg, Saar, Germany
| | - Christina Körbel
- Institute for Clinical & Experimental Surgery, Saarland University, 66421 Homburg, Saar, Germany
| | - David Bauer
- Institute for Clinical & Experimental Surgery, Saarland University, 66421 Homburg, Saar, Germany
| | - Michelle Bleimehl
- Institute for Clinical & Experimental Surgery, Saarland University, 66421 Homburg, Saar, Germany
| | - Anne L. Tobias
- Institute for Clinical & Experimental Surgery, Saarland University, 66421 Homburg, Saar, Germany
| | - Benedikt J. Braun
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
| | - Steven C. Herath
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
| | - Mika F. Rollmann
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
| | - Matthias W. Laschke
- Institute for Clinical & Experimental Surgery, Saarland University, 66421 Homburg, Saar, Germany
| | - Michael D. Menger
- Institute for Clinical & Experimental Surgery, Saarland University, 66421 Homburg, Saar, Germany
| | - Tina Histing
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
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13
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Biswas D, Roy S, Vasudevan S. Biomedical Application of Photoacoustics: A Plethora of Opportunities. MICROMACHINES 2022; 13:1900. [PMID: 36363921 PMCID: PMC9692656 DOI: 10.3390/mi13111900] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/19/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
The photoacoustic (PA) technique is a non-invasive, non-ionizing hybrid technique that exploits laser irradiation for sample excitation and acquires an ultrasound signal generated due to thermoelastic expansion of the sample. Being a hybrid technique, PA possesses the inherent advantages of conventional optical (high resolution) and ultrasonic (high depth of penetration in biological tissue) techniques and eliminates some of the major limitations of these conventional techniques. Hence, PA has been employed for different biomedical applications. In this review, we first discuss the basic physics of PA. Then, we discuss different aspects of PA techniques, which includes PA imaging and also PA frequency spectral analysis. The theory of PA signal generation, detection and analysis is also detailed in this work. Later, we also discuss the major biomedical application area of PA technique.
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Affiliation(s)
- Deblina Biswas
- School of Bioengineering and Food Technology, Shoolini University, Solan 173229, HP, India
| | - Swarup Roy
- School of Bioengineering and Food Technology, Shoolini University, Solan 173229, HP, India
| | - Srivathsan Vasudevan
- Discipline of Electrical Engineering, Indian Institute of Technology Indore, Khandwa Road, Simrol 453552, MP, India
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14
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Akhmedzhanova KG, Kurnikov AA, Khochenkov DA, Khochenkova YA, Glyavina AM, Kazakov VV, Yudintsev AV, Maslennikova AV, Turchin IV, Subochev PV, Orlova AG. In vivo monitoring of vascularization and oxygenation of tumor xenografts using optoacoustic microscopy and diffuse optical spectroscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:5695-5708. [PMID: 36733761 PMCID: PMC9872889 DOI: 10.1364/boe.469380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/31/2022] [Accepted: 09/22/2022] [Indexed: 05/11/2023]
Abstract
The research is devoted to comparison of the blood vessel structure and the oxygen state of three xenografts: SN-12C, HCT-116 and Colo320. Differences in the vessel formation and the level of oxygenation are revealed by optoacoustic (OA) microscopy and diffuse optical spectroscopy (DOS) respectively. The Colo320 tumor is characterized by the highest values of vessel size and fraction. DOS showed increased content of deoxyhemoglobin that led to reduction of saturation level for Colo320 as compared to other tumors. Immunohistochemical (IHC) analysis for CD31 demonstrates the higher number of vessels in Colo320. The IHC for hypoxia was consistent with DOS results and revealed higher values of the relative hypoxic fraction in Colo320.
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Affiliation(s)
- K. G. Akhmedzhanova
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
- Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - A. A. Kurnikov
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - D. A. Khochenkov
- N.N. Blokhin National Medical Research Center of Oncology, Moscow, Russia
- Togliatti State University, Togliatti, Russia
| | - Yu. A. Khochenkova
- N.N. Blokhin National Medical Research Center of Oncology, Moscow, Russia
| | - A. M. Glyavina
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
- Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - V. V. Kazakov
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - A. V. Yudintsev
- Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - A. V. Maslennikova
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
- Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - I. V. Turchin
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - P. V. Subochev
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - A. G. Orlova
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
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15
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Wen Y, Guo D, Zhang J, Liu X, Liu T, Li L, Jiang S, Wu D, Jiang H. Clinical photoacoustic/ultrasound dual-modal imaging: Current status and future trends. Front Physiol 2022; 13:1036621. [PMID: 36388111 PMCID: PMC9651137 DOI: 10.3389/fphys.2022.1036621] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 10/05/2022] [Indexed: 08/24/2023] Open
Abstract
Photoacoustic tomography (PAT) is an emerging biomedical imaging modality that combines optical and ultrasonic imaging, providing overlapping fields of view. This hybrid approach allows for a natural integration of PAT and ultrasound (US) imaging in a single platform. Due to the similarities in signal acquisition and processing, the combination of PAT and US imaging creates a new hybrid imaging for novel clinical applications. Over the recent years, particular attention is paid to the development of PAT/US dual-modal systems highlighting mutual benefits in clinical cases, with an aim of substantially improving the specificity and sensitivity for diagnosis of diseases. The demonstrated feasibility and accuracy in these efforts open an avenue of translating PAT/US imaging to practical clinical applications. In this review, the current PAT/US dual-modal imaging systems are discussed in detail, and their promising clinical applications are presented and compared systematically. Finally, this review describes the potential impacts of these combined systems in the coming future.
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Affiliation(s)
- Yanting Wen
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Dan Guo
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Jing Zhang
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Xiaotian Liu
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Ting Liu
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Lu Li
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Shixie Jiang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Dan Wu
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Huabei Jiang
- Department of Medical Engineering, University of South Florida, Tampa, FL, United States
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16
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Subasinghe SAAS, Pautler RG, Samee MAH, Yustein JT, Allen MJ. Dual-Mode Tumor Imaging Using Probes That Are Responsive to Hypoxia-Induced Pathological Conditions. BIOSENSORS 2022; 12:478. [PMID: 35884281 PMCID: PMC9313010 DOI: 10.3390/bios12070478] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/22/2022] [Accepted: 06/26/2022] [Indexed: 05/02/2023]
Abstract
Hypoxia in solid tumors is associated with poor prognosis, increased aggressiveness, and strong resistance to therapeutics, making accurate monitoring of hypoxia important. Several imaging modalities have been used to study hypoxia, but each modality has inherent limitations. The use of a second modality can compensate for the limitations and validate the results of any single imaging modality. In this review, we describe dual-mode imaging systems for the detection of hypoxia that have been reported since the start of the 21st century. First, we provide a brief overview of the hallmarks of hypoxia used for imaging and the imaging modalities used to detect hypoxia, including optical imaging, ultrasound imaging, photoacoustic imaging, single-photon emission tomography, X-ray computed tomography, positron emission tomography, Cerenkov radiation energy transfer imaging, magnetic resonance imaging, electron paramagnetic resonance imaging, magnetic particle imaging, and surface-enhanced Raman spectroscopy, and mass spectrometric imaging. These overviews are followed by examples of hypoxia-relevant imaging using a mixture of probes for complementary single-mode imaging techniques. Then, we describe dual-mode molecular switches that are responsive in multiple imaging modalities to at least one hypoxia-induced pathological change. Finally, we offer future perspectives toward dual-mode imaging of hypoxia and hypoxia-induced pathophysiological changes in tumor microenvironments.
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Affiliation(s)
| | - Robia G. Pautler
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX 77030, USA; (R.G.P.); (M.A.H.S.)
| | - Md. Abul Hassan Samee
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX 77030, USA; (R.G.P.); (M.A.H.S.)
| | - Jason T. Yustein
- Integrative Molecular and Biomedical Sciences and the Department of Pediatrics in the Texas Children’s Cancer and Hematology Centers and The Faris D. Virani Ewing Sarcoma Center, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Matthew J. Allen
- Department of Chemistry, Wayne State University, 5101 Cass Avenue, Detroit, MI 48202, USA;
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17
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Lefebvre TL, Brown E, Hacker L, Else T, Oraiopoulou ME, Tomaszewski MR, Jena R, Bohndiek SE. The Potential of Photoacoustic Imaging in Radiation Oncology. Front Oncol 2022; 12:803777. [PMID: 35311156 PMCID: PMC8928467 DOI: 10.3389/fonc.2022.803777] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/07/2022] [Indexed: 12/16/2022] Open
Abstract
Radiotherapy is recognized globally as a mainstay of treatment in most solid tumors and is essential in both curative and palliative settings. Ionizing radiation is frequently combined with surgery, either preoperatively or postoperatively, and with systemic chemotherapy. Recent advances in imaging have enabled precise targeting of solid lesions yet substantial intratumoral heterogeneity means that treatment planning and monitoring remains a clinical challenge as therapy response can take weeks to manifest on conventional imaging and early indications of progression can be misleading. Photoacoustic imaging (PAI) is an emerging modality for molecular imaging of cancer, enabling non-invasive assessment of endogenous tissue chromophores with optical contrast at unprecedented spatio-temporal resolution. Preclinical studies in mouse models have shown that PAI could be used to assess response to radiotherapy and chemoradiotherapy based on changes in the tumor vascular architecture and blood oxygen saturation, which are closely linked to tumor hypoxia. Given the strong relationship between hypoxia and radio-resistance, PAI assessment of the tumor microenvironment has the potential to be applied longitudinally during radiotherapy to detect resistance at much earlier time-points than currently achieved by size measurements and tailor treatments based on tumor oxygen availability and vascular heterogeneity. Here, we review the current state-of-the-art in PAI in the context of radiotherapy research. Based on these studies, we identify promising applications of PAI in radiation oncology and discuss the future potential and outstanding challenges in the development of translational PAI biomarkers of early response to radiotherapy.
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Affiliation(s)
- Thierry L. Lefebvre
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Emma Brown
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Lina Hacker
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Thomas Else
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Mariam-Eleni Oraiopoulou
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Michal R. Tomaszewski
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Rajesh Jena
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Sarah E. Bohndiek
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
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18
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Zeng Y, Chang P, Ma J, Li K, Zhang C, Guo Y, Li H, Zhu Q, Liu H, Wang W, Chen Y, Chen D, Cao X, Zhan Y. DNA Origami-Anthraquinone Hybrid Nanostructures for In Vivo Quantitative Monitoring of the Progression of Tumor Hypoxia Affected by Chemotherapy. ACS APPLIED MATERIALS & INTERFACES 2022; 14:6387-6403. [PMID: 35077131 DOI: 10.1021/acsami.1c22620] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Hypoxia is a well-known feature of malignant solid tumors. To explain the misinterpretation of tumor hypoxia variation during chemotherapy, we developed a DNA origami-based theranostic nanoplatform with an intercalated anticancer anthraquinone as both the chemotherapeutic drug and the photoacoustic contrast agent. The size distribution of the DNA origami nanostructure is 44.5 ± 2.3 nm, whereas the encapsulation efficiency of the drug is 90.7 ± 1.0%, and the drug loading content is 92.2 ± 0.1%. The controlled cumulative release rates were measured in vitro, showing an acidic environment induced rapid drug release. The values of free energy of binding between the drugs and the DNA double helix were calculated through molecular simulations. The cell viability assay was used to characterize cytotoxicity, and fluorescence confocal cell imaging illustrates the biodistribution of the probe in vitro. Photoacoustic and fluorescence imaging were used to indicate drug delivery, release, and biodistribution to predict the drug's chemotherapeutic effect in vivo, whereas the photoacoustic signals were compared with those of deoxygenated/oxygenated hemoglobin to represent the tissue hypoxia/normoxia maps during the chemotherapeutic process and indicate alleviated tumor hypoxia. Staining of tissue sections taken from organs and tumors was used to verify the results of photoacoustic imaging. Our results suggest that photoacoustic imaging can visualize this DNA origami-based theranostic nanoplatform and reveal the mechanisms of chemotherapy on tumor hypoxia.
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Affiliation(s)
- Yun Zeng
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Peng Chang
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Jingwen Ma
- Radiology Department, Ninth Affiliated Hospital of Medical College of Xi'an Jiaotong University, Xi'an 710054, Shaanxi Province, P. R. China
| | - Ke Li
- Institute of Basic and Translational Medicine, Xi'an Medical University, Xi'an 710021, Shaanxi Province, P. R. China
| | - Chunhong Zhang
- Xi'an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710121, Shaanxi Province, P. R. China
| | - Yingying Guo
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Hanrui Li
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Qingxia Zhu
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Huifang Liu
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Wenjing Wang
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Yuwei Chen
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Dan Chen
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Xu Cao
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
| | - Yonghua Zhan
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an 710071, Shaanxi Province, P. R. China
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19
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Kiru L, Zlitni A, Tousley AM, Dalton GN, Wu W, Lafortune F, Liu A, Cunanan KM, Nejadnik H, Sulchek T, Moseley ME, Majzner RG, Daldrup-Link HE. In vivo imaging of nanoparticle-labeled CAR T cells. Proc Natl Acad Sci U S A 2022; 119:e2102363119. [PMID: 35101971 PMCID: PMC8832996 DOI: 10.1073/pnas.2102363119] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 12/10/2021] [Indexed: 01/20/2023] Open
Abstract
Metastatic osteosarcoma has a poor prognosis with a 2-y, event-free survival rate of ∼15 to 20%, highlighting the need for the advancement of efficacious therapeutics. Chimeric antigen receptor (CAR) T-cell therapy is a potent strategy for eliminating tumors by harnessing the immune system. However, clinical trials with CAR T cells in solid tumors have encountered significant challenges and have not yet demonstrated convincing evidence of efficacy for a large number of patients. A major bottleneck for the success of CAR T-cell therapy is our inability to monitor the accumulation of the CAR T cells in the tumor with clinical-imaging techniques. To address this, we developed a clinically translatable approach for labeling CAR T cells with iron oxide nanoparticles, which enabled the noninvasive detection of the iron-labeled T cells with magnetic resonance imaging (MRI), photoacoustic imaging (PAT), and magnetic particle imaging (MPI). Using a custom-made microfluidics device for T-cell labeling by mechanoporation, we achieved significant nanoparticle uptake in the CAR T cells, while preserving T-cell proliferation, viability, and function. Multimodal MRI, PAT, and MPI demonstrated homing of the T cells to osteosarcomas and off-target sites in animals administered with T cells labeled with the iron oxide nanoparticles, while T cells were not visualized in animals infused with unlabeled cells. This study details the successful labeling of CAR T cells with ferumoxytol, thereby paving the way for monitoring CAR T cells in solid tumors.
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Affiliation(s)
- Louise Kiru
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA 94305
| | - Aimen Zlitni
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA 94305
| | | | | | - Wei Wu
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA 94305
| | - Famyrah Lafortune
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA 94305
| | - Anna Liu
- Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332
| | - Kristen May Cunanan
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA 94305
| | - Hossein Nejadnik
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Todd Sulchek
- Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332
| | - Michael Eugene Moseley
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA 94305
| | - Robbie G Majzner
- Department of Pediatrics, Stanford University, Stanford, CA 94305
- Stanford Cancer Institute, Stanford University, Stanford, CA 94305
| | - Heike Elisabeth Daldrup-Link
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA 94305;
- Department of Pediatrics, Stanford University, Stanford, CA 94305
- Stanford Cancer Institute, Stanford University, Stanford, CA 94305
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20
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Li X, Fang X, Li S, Lui KH, Lo WS, Gu Y, Wong WT. Nitroreductase-Induced Aggregation of Gold Nanoparticles for "Off-On" Photoacoustic Imaging of Tumor Hypoxia. J Biomed Nanotechnol 2021; 17:2186-2197. [PMID: 34906279 DOI: 10.1166/jbn.2021.3195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Hypoxia is an important phenomenon due to insufficient oxygen supply in tumor tissue, and nitroreductase (NTR) is a characteristic enzyme used for evaluating hypoxia level in tumors. In this work, we designed a smart gold nanoparticle (AuNPs), modified by 16-mercaptoundecanoic acid (MHDA) and hypoxia-responsive 11-(2-nitro-1H-imidazol-1-yl)undecane-1-thiol (NI) ligand, that responds to the hypoxic environment in tumor sites. With proper surface ligand composition, the responsive nanoprobe exhibited aggregation through the bioreduction of the nitro group on NI ligands under hypoxic conditions and the UV-vis absorption peak maximum would shift to 630 nm from 530 nm, which acts as an "off-on" contrast agent for tumor hypoxic photoacoustic (PA) imaging. In vitro and in vivo experiments revealed that AuNPs@MHDA/NO₂ exhibited an enhanced PA signal in hypoxic conditions. This study demonstrates the potential of hypoxia-responsive AuNPs as novel and sensitive diagnostic agents, which lays a firm foundation for precise cancer treatment in the future.
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Affiliation(s)
- Xin Li
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Xueyang Fang
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Shiying Li
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Kwok-Ho Lui
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Wai-Sum Lo
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
| | - Yanjuan Gu
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Wing-Tak Wong
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
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21
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Sugiura T, Okumura K, Matsumoto J, Sakaguchi M, Komori T, Ogi T, Inoue D, Koda W, Kobayashi S, Gabata T. Predicting intestinal viability by consecutive photoacoustic monitoring of oxygenation recovery after reperfusion in acute mesenteric ischemia in rats. Sci Rep 2021; 11:19474. [PMID: 34593923 PMCID: PMC8484661 DOI: 10.1038/s41598-021-98904-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 09/16/2021] [Indexed: 11/21/2022] Open
Abstract
The purpose was to assess whether consecutive monitoring of oxygenation by photoacoustic imaging (PAI) can objectively predict intestinal viability during surgery for acute mesenteric ischemia (AMI). PAI uses laser light to detect relative amounts of oxygenated and deoxygenated hemoglobin in intestinal tissue. In 30 rats, AMI was induced by clamping the mesenteric and marginal vessels of the ileum for 0 min in the control group, 30 min in the mild group, and 180 min in the severe group (10 rats per group). After 60 min of reperfusion, intestinal damage was evaluated pathologically. Oxygenation of the intestine was monitored throughout the procedure in real time by a commercially available PAI system and compared among the groups. All rats showed irreversible (i.e. transmucosal or transmural infarction) damage in the severe group. After reperfusion, the oxygenation in the mild group recovered immediately and was significantly higher than in the severe group at 1, 5, 10, 30, and 60 min (P = .011, 002, < .001, 001, and 001, respectively). Oxygenation showed a significant strong negative correlation with pathological severity (rs = − 0.7783, − 0.7806, − 0.7422, − 0.7728, and − 0.7704, respectively). In conclusion, PAI could objectively predict irreversible ischemic damage immediately after reperfusion, which potentially prevents inadequate surgery.
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Affiliation(s)
- Takumi Sugiura
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Kenichiro Okumura
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan.
| | - Junichi Matsumoto
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Maki Sakaguchi
- Department of Diagnostic Pathology, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Takahiro Komori
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Takahiro Ogi
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Dai Inoue
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Wataru Koda
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Satoshi Kobayashi
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan.,Department of Quantum Medical Technology, Kanazawa University Graduate School of Medical Sciences, 5-11-80 Kodatsuno, Kanazawa, Ishikawa, 920-0942, Japan
| | - Toshifumi Gabata
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
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22
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Respiratory Supercomplexes Promote Mitochondrial Efficiency and Growth in Severely Hypoxic Pancreatic Cancer. Cell Rep 2021; 33:108231. [PMID: 33027658 PMCID: PMC7573785 DOI: 10.1016/j.celrep.2020.108231] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/19/2020] [Accepted: 09/15/2020] [Indexed: 12/14/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is characterized by extensive fibrosis and hypovascularization, resulting in significant intratumoral hypoxia (low oxygen) that contributes to its aggressiveness, therapeutic resistance, and high mortality. Despite oxygen being a fundamental requirement for many cellular and metabolic processes, and the severity of hypoxia in PDAC, the impact of oxygen deprivation on PDAC biology is poorly understood. Investigating how PDAC cells survive in the near absence of oxygen, we find that PDAC cell lines grow robustly in oxygen tensions down to 0.1%, maintaining mitochondrial morphology, membrane potential, and the oxidative metabolic activity required for the synthesis of key metabolites for proliferation. Disrupting electron transfer efficiency by targeting mitochondrial respiratory supercomplex assembly specifically affects hypoxic PDAC proliferation, metabolism, and in vivo tumor growth. Collectively, our results identify a mechanism that enables PDAC cells to thrive in severe, oxygen-limited microenvironments.
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23
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In Vivo Assessment of Hypoxia Levels in Pancreatic Tumors Using a Dual-Modality Ultrasound/Photoacoustic Imaging System. MICROMACHINES 2021; 12:mi12060668. [PMID: 34200388 PMCID: PMC8229757 DOI: 10.3390/mi12060668] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/02/2021] [Accepted: 06/03/2021] [Indexed: 12/12/2022]
Abstract
Noninvasive anatomical and functional imaging has become an essential tool to evaluate tissue oxygen saturation dynamics in preclinical or clinical studies of hypoxia. Our dual-wavelength technique for photoacoustic (PA) imaging based on the differential absorbance spectrum of oxyhemoglobin (oxy-Hb) and deoxyhemoglobin (deoxy-Hb) can quantify tissue oxygen saturation using the intrinsic contrast property. PA imaging of tissue oxygen saturation can be used to monitor tumor-related hypoxia, which is a particularly relevant functional parameter of the tumor microenvironment that has a strong influence on tumor aggressiveness. The simultaneous acquisition of anatomical and functional information using dual-modality ultrasound (US) and PA imaging technology enhances the preclinical applicability of the method. Here, the developed dual-modality US/PA system was used to measure relative tissue oxygenation using the dual-wavelength technique. Tissue oxygen saturation was quantified in a pancreatic tumor mouse model. The differences in tissue oxygenation were detected by comparing pancreatic samples from normal and tumor-bearing mice at various time points after implantation. The use of an in vivo pancreatic tumor model revealed changes in hypoxia at various stages of tumor growth. The US/PA imaging data positively correlated with the results of immunohistochemical staining for hypoxia. Thus, our dual-modality US/PA imaging system can be used to reliably assess and monitor hypoxia in pancreatic tumor mouse models. These findings enable the use of a combination of US and PA imaging to acquire anatomical and functional information on tumor growth and to evaluate treatment responses in longitudinal preclinical studies.
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24
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D'Alonzo RA, Gill S, Rowshanfarzad P, Keam S, MacKinnon KM, Cook AM, Ebert MA. In vivo noninvasive preclinical tumor hypoxia imaging methods: a review. Int J Radiat Biol 2021; 97:593-631. [PMID: 33703994 DOI: 10.1080/09553002.2021.1900943] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 01/28/2021] [Accepted: 03/01/2021] [Indexed: 12/15/2022]
Abstract
Tumors exhibit areas of decreased oxygenation due to malformed blood vessels. This low oxygen concentration decreases the effectiveness of radiation therapy, and the resulting poor perfusion can prevent drugs from reaching areas of the tumor. Tumor hypoxia is associated with poorer prognosis and disease progression, and is therefore of interest to preclinical researchers. Although there are multiple different ways to measure tumor hypoxia and related factors, there is no standard for quantifying spatial and temporal tumor hypoxia distributions in preclinical research or in the clinic. This review compares imaging methods utilized for the purpose of assessing spatio-temporal patterns of hypoxia in the preclinical setting. Imaging methods provide varying levels of spatial and temporal resolution regarding different aspects of hypoxia, and with varying advantages and disadvantages. The choice of modality requires consideration of the specific experimental model, the nature of the required characterization and the availability of complementary modalities as well as immunohistochemistry.
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Affiliation(s)
- Rebecca A D'Alonzo
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia
| | - Suki Gill
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Australia
| | - Pejman Rowshanfarzad
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia
| | - Synat Keam
- School of Medicine, The University of Western Australia, Crawley, Australia
| | - Kelly M MacKinnon
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia
| | - Alistair M Cook
- School of Medicine, The University of Western Australia, Crawley, Australia
| | - Martin A Ebert
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Australia
- 5D Clinics, Claremont, Australia
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25
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Keša P, Pokorná E, Grajciarová M, Tonar Z, Vočková P, Trochet P, Kopeček M, Jakša R, Šefc L, Klener P. Quantitative In Vivo Monitoring of Hypoxia and Vascularization of Patient-Derived Murine Xenografts of Mantle Cell Lymphoma Using Photoacoustic and Ultrasound Imaging. ULTRASOUND IN MEDICINE & BIOLOGY 2021; 47:1099-1107. [PMID: 33455807 DOI: 10.1016/j.ultrasmedbio.2020.12.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 11/05/2020] [Accepted: 12/13/2020] [Indexed: 05/16/2023]
Abstract
Tumor oxygenation and vascularization are important parameters that determine the aggressiveness of the tumor and its resistance to cancer therapies. We introduce dual-modality ultrasound and photoacoustic imaging (US-PAI) for the direct, non-invasive real-time in vivo evaluation of oxygenation and vascularization of patient-derived xenografts (PDXs) of B-cell mantle cell lymphomas. The different optical properties of oxyhemoglobin and deoxyhemoglobin make it possible to determine oxygen saturation (sO2) in tissues using PAI. High-frequency color Doppler imaging enables the visualization of blood flow with high resolution. Tumor oxygenation and vascularization were studied in vivo during the growth of three different subcutaneously implanted patient-derived xenograft (PDX) lymphomas (VFN-M1, VFN-M2 and VFN-M5 R1). Similar values of sO2 (sO2 Vital), determined from US-PAI volumetric analysis, were obtained in small and large VFN-M1 tumors ranging from 37.9 ± 2.2 to 40.5 ± 6.0 sO2 Vital (%) and 37.5 ± 4.0 to 35.7 ± 4.6 sO2 Vital (%) for small and large VFN-M2 PDXs. In contrast, the higher sO2 Vital values ranging from 57.1 ± 4.8 to 40.8 ± 5.7 sO2 Vital (%) (small to large) of VFN-M5 R1 tumors corresponds with the higher aggressiveness of that PDX model. The different tumor percentage vascularization (assessed as micro-vessel areas) of VFN-M1, VFN-M2 and VFN-M5 R1 obtained by color Doppler (2.8 ± 0.1%, 3.8 ± 0.8% and 10.3 ± 2.7%) in large-stage tumors clearly corresponds with their diverse growth and aggressiveness. The data obtained by color Doppler were validated by histology. In conclusion, US-PAI rapidly and accurately provided relevant and reproducible information on tissue oxygenation in PDX tumors in real time without the need for a contrast agent.
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Affiliation(s)
- Peter Keša
- Center for Advanced Preclinical Imaging (CAPI), First Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Eva Pokorná
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Martina Grajciarová
- Department of Histology and Embryology, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Zbyněk Tonar
- Department of Histology and Embryology, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Petra Vočková
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic; First Department of Medicine-Hematology, University General Hospital, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | | | | | - Radek Jakša
- Institute of Pathology, University General Hospital, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Luděk Šefc
- Center for Advanced Preclinical Imaging (CAPI), First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Pavel Klener
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic; First Department of Medicine-Hematology, University General Hospital, First Faculty of Medicine, Charles University, Prague, Czech Republic
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26
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Sanchez-Cano C, Alvarez-Puebla RA, Abendroth JM, Beck T, Blick R, Cao Y, Caruso F, Chakraborty I, Chapman HN, Chen C, Cohen BE, Conceição ALC, Cormode DP, Cui D, Dawson KA, Falkenberg G, Fan C, Feliu N, Gao M, Gargioni E, Glüer CC, Grüner F, Hassan M, Hu Y, Huang Y, Huber S, Huse N, Kang Y, Khademhosseini A, Keller TF, Körnig C, Kotov NA, Koziej D, Liang XJ, Liu B, Liu S, Liu Y, Liu Z, Liz-Marzán LM, Ma X, Machicote A, Maison W, Mancuso AP, Megahed S, Nickel B, Otto F, Palencia C, Pascarelli S, Pearson A, Peñate-Medina O, Qi B, Rädler J, Richardson JJ, Rosenhahn A, Rothkamm K, Rübhausen M, Sanyal MK, Schaak RE, Schlemmer HP, Schmidt M, Schmutzler O, Schotten T, Schulz F, Sood AK, Spiers KM, Staufer T, Stemer DM, Stierle A, Sun X, Tsakanova G, Weiss PS, Weller H, Westermeier F, Xu M, Yan H, Zeng Y, Zhao Y, Zhao Y, Zhu D, Zhu Y, Parak WJ. X-ray-Based Techniques to Study the Nano-Bio Interface. ACS NANO 2021; 15:3754-3807. [PMID: 33650433 PMCID: PMC7992135 DOI: 10.1021/acsnano.0c09563] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/25/2021] [Indexed: 05/03/2023]
Abstract
X-ray-based analytics are routinely applied in many fields, including physics, chemistry, materials science, and engineering. The full potential of such techniques in the life sciences and medicine, however, has not yet been fully exploited. We highlight current and upcoming advances in this direction. We describe different X-ray-based methodologies (including those performed at synchrotron light sources and X-ray free-electron lasers) and their potentials for application to investigate the nano-bio interface. The discussion is predominantly guided by asking how such methods could better help to understand and to improve nanoparticle-based drug delivery, though the concepts also apply to nano-bio interactions in general. We discuss current limitations and how they might be overcome, particularly for future use in vivo.
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Affiliation(s)
- Carlos Sanchez-Cano
- Center
for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 182, 20014 Donostia San Sebastián, Spain
| | - Ramon A. Alvarez-Puebla
- Universitat
Rovira i Virgili, 43007 Tarragona, Spain
- ICREA, Passeig Lluís
Companys 23, 08010 Barcelona, Spain
| | - John M. Abendroth
- Department
of Materials Science and Engineering, Stanford
University, Stanford, California 94305, United States
| | - Tobias Beck
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Robert Blick
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Yuan Cao
- Department
of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Biointerfaces
Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Frank Caruso
- ARC
Centre of Excellence in Convergent Bio-Nano Science and Technology
and the Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Indranath Chakraborty
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Henry N. Chapman
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Centre
for Ultrafast Imaging, Universität
Hamburg, 22761 Hamburg, Germany
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Chunying Chen
- National
Center for Nanoscience and Technology (NCNST), 100190 Beijing China
| | - Bruce E. Cohen
- The
Molecular Foundry and Division of Molecular Biophysics and Integrated
Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | | | - David P. Cormode
- Radiology
Department, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Daxiang Cui
- School
of Chemistry and Chemical Engineering, Frontiers Science Center for
Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | | | - Gerald Falkenberg
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Chunhai Fan
- School
of Chemistry and Chemical Engineering, Frontiers Science Center for
Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Neus Feliu
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- CAN, Fraunhofer Institut, 20146 Hamburg, Germany
| | - Mingyuan Gao
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Elisabetta Gargioni
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Claus-C. Glüer
- Section
Biomedical Imaging, Department of Radiology and Neuroradiology, University Medical Clinic Schleswig-Holstein and Christian-Albrechts-University
Kiel, 24105 Kiel, Germany
| | - Florian Grüner
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Universität
Hamburg and Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - Moustapha Hassan
- Karolinska University Hospital, Huddinge, and Karolinska
Institutet, 17177 Stockholm, Sweden
| | - Yong Hu
- College of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, China
| | - Yalan Huang
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Samuel Huber
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Nils Huse
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Yanan Kang
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Ali Khademhosseini
- Terasaki Institute for Biomedical Innovation, Los Angeles, California 90049, United States
| | - Thomas F. Keller
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Christian Körnig
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Universität
Hamburg and Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - Nicholas A. Kotov
- Department
of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Biointerfaces
Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Michigan
Institute for Translational Nanotechnology (MITRAN), Ypsilanti, Michigan 48198, United States
| | - Dorota Koziej
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Xing-Jie Liang
- National
Center for Nanoscience and Technology (NCNST), 100190 Beijing China
| | - Beibei Liu
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Sijin Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology,
Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085 China
| | - Yang Liu
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Ziyao Liu
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Luis M. Liz-Marzán
- Center
for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 182, 20014 Donostia San Sebastián, Spain
- Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain
- Centro de Investigación Biomédica
en Red de Bioingeniería,
Biomateriales y Nanomedicina (CIBER-BBN), Paseo de Miramon 182, 20014 Donostia-San Sebastián, Spain
| | - Xiaowei Ma
- National
Center for Nanoscience and Technology (NCNST), 100190 Beijing China
| | - Andres Machicote
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Wolfgang Maison
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Adrian P. Mancuso
- European XFEL, 22869 Schenefeld, Germany
- Department of Chemistry and Physics, La
Trobe Institute for Molecular
Science, La Trobe University, Melbourne 3086, Victoria, Australia
| | - Saad Megahed
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Bert Nickel
- Sektion Physik, Ludwig Maximilians Universität
München, 80539 München, Germany
| | - Ferdinand Otto
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Cristina Palencia
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | | | - Arwen Pearson
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Oula Peñate-Medina
- Section
Biomedical Imaging, Department of Radiology and Neuroradiology, University Medical Clinic Schleswig-Holstein and Christian-Albrechts-University
Kiel, 24105 Kiel, Germany
| | - Bing Qi
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Joachim Rädler
- Sektion Physik, Ludwig Maximilians Universität
München, 80539 München, Germany
| | - Joseph J. Richardson
- ARC
Centre of Excellence in Convergent Bio-Nano Science and Technology
and the Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Axel Rosenhahn
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Kai Rothkamm
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Michael Rübhausen
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | | | - Raymond E. Schaak
- Department of Chemistry, Department of Chemical Engineering,
and
Materials Research Institute, The Pennsylvania
State University, University Park, Pensylvania 16802, United States
| | - Heinz-Peter Schlemmer
- Department of Radiology, German Cancer
Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Marius Schmidt
- Department of Physics, University
of Wisconsin-Milwaukee, 3135 N. Maryland Avenue, Milwaukee, Wisconsin 53211, United States
| | - Oliver Schmutzler
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Universität
Hamburg and Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany
| | | | - Florian Schulz
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - A. K. Sood
- Department of Physics, Indian Institute
of Science, Bangalore 560012, India
| | - Kathryn M. Spiers
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Theresa Staufer
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Universität
Hamburg and Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - Dominik M. Stemer
- California NanoSystems Institute, University
of California, Los Angeles, Los Angeles, California 90095, United States
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Andreas Stierle
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Xing Sun
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Molecular Science and Biomedicine Laboratory (MBL) State
Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry
and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
| | - Gohar Tsakanova
- Institute of Molecular Biology of National
Academy of Sciences of
Republic of Armenia, 7 Hasratyan str., 0014 Yerevan, Armenia
- CANDLE Synchrotron Research Institute, 31 Acharyan str., 0040 Yerevan, Armenia
| | - Paul S. Weiss
- California NanoSystems Institute, University
of California, Los Angeles, Los Angeles, California 90095, United States
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los Angeles, California 90095, United States
- Department of Bioengineering, University
of California, Los Angeles, Los Angeles, California 90095, United States
| | - Horst Weller
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- CAN, Fraunhofer Institut, 20146 Hamburg, Germany
| | - Fabian Westermeier
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Ming Xu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology,
Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085 China
| | - Huijie Yan
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Yuan Zeng
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Ying Zhao
- Karolinska University Hospital, Huddinge, and Karolinska
Institutet, 17177 Stockholm, Sweden
| | - Yuliang Zhao
- National
Center for Nanoscience and Technology (NCNST), 100190 Beijing China
| | - Dingcheng Zhu
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Ying Zhu
- Bioimaging Center, Shanghai Synchrotron Radiation Facility,
Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
- Division of Physical Biology, CAS Key Laboratory
of Interfacial
Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Wolfgang J. Parak
- Center
for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 182, 20014 Donostia San Sebastián, Spain
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- School
of Chemistry and Chemical Engineering, Frontiers Science Center for
Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
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27
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David H, Ughetto A, Gaudard P, Plawecki M, Paiyabhroma N, Zub E, Colson P, Richard S, Marchi N, Sicard P. Experimental Myocardial Infarction Elicits Time-Dependent Patterns of Vascular Hypoxia in Peripheral Organs and in the Brain. Front Cardiovasc Med 2021; 7:615507. [PMID: 33585582 PMCID: PMC7873295 DOI: 10.3389/fcvm.2020.615507] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/21/2020] [Indexed: 11/13/2022] Open
Abstract
Aims: Microvascular alterations occurring after myocardial infarction (MI) may represent a risk factor for multi-organ failure. Here we used in vivo photoacoustic (PA) imaging to track and define the changes in vascular oxygen saturation (sO2) occurring over time after experimental MI in multiple peripheral organs and in the brain. Methods and Results: Experimental MI was obtained in BALB/c mice by permanent ligation of the left anterior descending artery. PA imaging (Vevo LAZR-X) allowed tracking mouse-specific sO2 kinetics in the cardiac left ventricular (LV) anterior wall, brain, kidney, and liver at 4 h, 1 day, and 7 days post-MI. Here we reported a correlation between LV sO2 and longitudinal anterior myocardial strain after MI (r = −0.44, p < 0.0001, n = 96). Acute LV dysfunction was associated with global hypoxia, specifically a decrease in sO2 level in the brain (−5.9%), kidney (−6.4%), and liver (−7.3%) at 4 and 24 h post-MI. Concomitantly, a preliminary examination of capillary NG2DsRed pericytes indicated cell rarefication in the heart and kidney. While the cardiac tissue was persistently impacted, sO2 levels returned to pre-MI levels in the brain and in peripheral organs 7 days after MI. Conclusions: Collectively, our data indicate that experimental MI elicits precise trajectories of vascular hypoxia in peripheral organs and in the brain. PA imaging enabled the synchronous tracking of oxygenation in multiple organs and occurring post-MI, potentially enabling a translational diagnostic modality for the identification of vascular modifications in this disease setting.
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Affiliation(s)
- Hélène David
- INSERM, CNRS, Université de Montpellier, PHYMEDEXP, Montpellier, France.,Department of Anesthesiology and Critical Care Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France
| | - Aurore Ughetto
- INSERM, CNRS, Université de Montpellier, PHYMEDEXP, Montpellier, France.,Department of Anesthesiology and Critical Care Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France
| | - Philippe Gaudard
- INSERM, CNRS, Université de Montpellier, PHYMEDEXP, Montpellier, France.,Department of Anesthesiology and Critical Care Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France
| | - Maëlle Plawecki
- INSERM, CNRS, Université de Montpellier, PHYMEDEXP, Montpellier, France.,CHU Lapeyronie, Département de Biochimie, Montpellier, France
| | | | - Emma Zub
- Cerebrovascular and Glia Research, Department of Neuroscience, Institute of Functional Genomics (UMR 5203 CNRS - U 1191 INSERM, University of Montpellier), Montpellier, France
| | - Pascal Colson
- Department of Anesthesiology and Critical Care Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France.,Montpellier University, INSERM, CNRS, Institut de Génomique Fonctionnelle, Montpellier, France
| | - Sylvain Richard
- INSERM, CNRS, Université de Montpellier, PHYMEDEXP, Montpellier, France
| | - Nicola Marchi
- Cerebrovascular and Glia Research, Department of Neuroscience, Institute of Functional Genomics (UMR 5203 CNRS - U 1191 INSERM, University of Montpellier), Montpellier, France
| | - Pierre Sicard
- INSERM, CNRS, Université de Montpellier, PHYMEDEXP, Montpellier, France.,IPAM, BioCampus Montpellier, CNRS, INSERM, Université de Montpellier, Montpellier, France
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28
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Zhong D, Li W, Hua S, Qi Y, Xie T, Qiao Y, Zhou M. Calcium phosphate engineered photosynthetic microalgae to combat hypoxic-tumor by in-situ modulating hypoxia and cascade radio-phototherapy. Theranostics 2021; 11:3580-3594. [PMID: 33664849 PMCID: PMC7914342 DOI: 10.7150/thno.55441] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 01/08/2021] [Indexed: 01/05/2023] Open
Abstract
Rationale: Hypoxia is one of the crucial restrictions in cancer radiotherapy (RT), which leads to the hypoxia-associated radioresistance of tumor cells and may result in the sharp decline in therapeutic efficacy. Methods: Herein, living photosynthetic microalgae (Chlorella vulgaris, C. vulgaris), were used as oxygenators, for in situ oxygen generation to relieve tumor hypoxia. We engineered the surface of C. vulgaris (CV) cells with calcium phosphate (CaP) shell by biomineralization, to form a biomimetic system (CV@CaP) for efficient tumor delivery and in-situ active photosynthetic oxygenation reaction in tumor. Results: After intravenous injection into tumor-bearing mice, CV@CaP could remarkably alleviate tumor hypoxia by continuous oxygen generation, thereby achieving enhanced radiotherapeutic effect. Furthermore, a cascade phototherapy could be fulfilled by the chlorophyll released from photosynthetic microalgae combined thermal effects under 650 nm laser irradiation. The feasibility of CV@CaP-mediated combinational treatment was finally validated in an orthotropic breast cancer mouse model, revealing its prominent anti-tumor and anti-metastasis efficacy in hypoxic-tumor management. More importantly, the engineered photosynthetic microalgae exhibited excellent fluorescence and photoacoustic imaging properties, allowing the self-monitoring of tumor therapy and tumor microenvironment. Conclusions: Our studies of this photosynthetic microsystem open up a new dimension for solving the radioresistance issue of hypoxic tumors.
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29
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Zhao Y, Ye F, Brismar TB, Li X, He R, Heuchel R, El-Sayed R, Feliu N, Zheng W, Oerther S, Dutta J, Parak WJ, Muhammed M, Hassan M. Multimodal Imaging of Pancreatic Ductal Adenocarcinoma Using Multifunctional Nanoparticles as Contrast Agents. ACS APPLIED MATERIALS & INTERFACES 2020; 12:53665-53681. [PMID: 33201660 PMCID: PMC7735668 DOI: 10.1021/acsami.0c15430] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Late diagnosis and refractory behavior toward current treatment protocols make pancreatic ductal adenocarcinoma (PDAC) one of the most difficult cancer forms to treat. The imaging-based approach plays an important role to identify potentially curable PDAC patients in high-risk groups at the early stage. In the present study, we developed a core-shell structured gold nanorod (AuNR) as a contrast agent for multimodal imaging and investigated its application for PDAC diagnosis. The composite nanoparticles composed of a AuNR core inside a layer of mesoporous silica that was then coated with a gadolinium oxide carbonate shell (AuNR-SiO2-Gd) are designed to be used in magnetic resonance imaging (MRI), X-ray computed tomography (CT), and photoacoustic imaging (PAI). A phantom study with the AuNR-SiO2-Gd NPs demonstrated higher MRI contrast compared to Gadovist and higher X-ray attenuation than Visipaque. A strong, stable, and broad wavelength range signal with a peak at 800 nm was observed in PAI. The AuNR-SiO2-Gd NPs showed significant contrast enhancement under PAI/MRI/CT in both the liver and spleen of control mice after intravenous administration. The utility in PDAC was studied in a genetically engineered mouse model carrying Kras and p53 mutations, which develops spontaneous tumors and keeps the desmoplasia and hypovascularity feature of PDAC in patients. The AuNR-SiO2-Gd NPs were highly accumulated in the surrounding soft tissues but were sparsely distributed throughout the tumor due to dense stroma infiltration and poor tumor vascularization. Hence, a negative contrast within the tumor area in CT/PAI and a positive contrast in MRI were observed. In conclusion, AuNR-SiO2-Gd NPs have good potential to be developed as a multimodal contrast agent for PDAC, which might improve early diagnosis and benefit the clinical outcome for PDAC patients.
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Affiliation(s)
- Ying Zhao
- Division of Experimental
Cancer Medicine, Department of Laboratory Medicine (LABMED), Karolinska Institutet, SE-141 86 Stockholm, Sweden
- Clinical Research Center, and Center for Allogeneic Stem
Cell Transplantation (CAST), Karolinska
University Hospital—Huddinge, SE-141 86 Stockholm, Sweden
| | - Fei Ye
- Division of Experimental
Cancer Medicine, Department of Laboratory Medicine (LABMED), Karolinska Institutet, SE-141 86 Stockholm, Sweden
- KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
| | - Torkel B. Brismar
- Division of Medical Imaging and Technology, Department of Clinical
Science, Intervention and Technology (CLINTEC), Karolinska Institutet, SE-141 86 Stockholm, Sweden
| | - Xuan Li
- Pancreatic
Cancer Research Laboratory, Department of Clinical Science, Intervention
and Technology (CLINTEC), Karolinska Institutet, SE-141 86 Stockholm, Sweden
| | - Rui He
- Division of Experimental
Cancer Medicine, Department of Laboratory Medicine (LABMED), Karolinska Institutet, SE-141 86 Stockholm, Sweden
- Clinical Research Center, and Center for Allogeneic Stem
Cell Transplantation (CAST), Karolinska
University Hospital—Huddinge, SE-141 86 Stockholm, Sweden
| | - Rainer Heuchel
- Pancreatic
Cancer Research Laboratory, Department of Clinical Science, Intervention
and Technology (CLINTEC), Karolinska Institutet, SE-141 86 Stockholm, Sweden
| | - Ramy El-Sayed
- Division of Experimental
Cancer Medicine, Department of Laboratory Medicine (LABMED), Karolinska Institutet, SE-141 86 Stockholm, Sweden
| | - Neus Feliu
- Division of Experimental
Cancer Medicine, Department of Laboratory Medicine (LABMED), Karolinska Institutet, SE-141 86 Stockholm, Sweden
- Center for Hybrid Nanostructures (CHyN), University of Hamburg, 22607 Hamburg, Germany
| | - Wenyi Zheng
- Division of Experimental
Cancer Medicine, Department of Laboratory Medicine (LABMED), Karolinska Institutet, SE-141 86 Stockholm, Sweden
- Clinical Research Center, and Center for Allogeneic Stem
Cell Transplantation (CAST), Karolinska
University Hospital—Huddinge, SE-141 86 Stockholm, Sweden
| | - Sandra Oerther
- Division of Experimental
Cancer Medicine, Department of Laboratory Medicine (LABMED), Karolinska Institutet, SE-141 86 Stockholm, Sweden
- Clinical Research Center, and Center for Allogeneic Stem
Cell Transplantation (CAST), Karolinska
University Hospital—Huddinge, SE-141 86 Stockholm, Sweden
| | - Joydeep Dutta
- KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
| | - Wolfgang J. Parak
- Center for Hybrid Nanostructures (CHyN), University of Hamburg, 22607 Hamburg, Germany
| | - Mamoun Muhammed
- KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
- Institute of Graduate Studies and Research (IGSR), Alexandria University, Alexandria 21526, Egypt
| | - Moustapha Hassan
- Division of Experimental
Cancer Medicine, Department of Laboratory Medicine (LABMED), Karolinska Institutet, SE-141 86 Stockholm, Sweden
- Clinical Research Center, and Center for Allogeneic Stem
Cell Transplantation (CAST), Karolinska
University Hospital—Huddinge, SE-141 86 Stockholm, Sweden
- Institute of Graduate Studies and Research (IGSR), Alexandria University, Alexandria 21526, Egypt
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30
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Wang S, Zhao Y, Xu Y. Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology. Vis Comput Ind Biomed Art 2020; 3:24. [PMID: 33083889 PMCID: PMC7575676 DOI: 10.1186/s42492-020-00061-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 10/02/2020] [Indexed: 12/28/2022] Open
Abstract
Photoacoustic imaging (PAI) is often performed simultaneously with ultrasound imaging and can provide functional and cellular information regarding the tissues in the anatomical markers of the imaging. This paper describes in detail the basic principles of photoacoustic/ultrasound (PA/US) imaging and its application in recent years. It includes near-infrared-region PA, photothermal, photodynamic, and multimode imaging techniques. Particular attention is given to the relationship between PAI and ultrasonic imaging; the latest high-frequency PA/US imaging of small animals, which involves not only B-mode, but also color Doppler mode, power Doppler mode, and nonlinear imaging mode; the ultrasonic model combined with PAI, including the formation of multimodal imaging; the preclinical imaging methods; and the most effective detection methods for clinical research for the future.
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Affiliation(s)
- Shanshan Wang
- VisualSonics Business Department, FUJIFILM (China) Investment Co. Ltd., Beijing, 100026, China.
| | - Yunfeng Zhao
- VisualSonics Business Department, FUJIFILM (China) Investment Co. Ltd., Shanghai, 200120, China
| | - Ye Xu
- VisualSonics Business Department, FUJIFILM (China) Investment Co. Ltd., Shanghai, 200120, China
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31
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Liapis E, Klemm U, Karlas A, Reber J, Ntziachristos V. Resolution of Spatial and Temporal Heterogeneity in Bevacizumab-Treated Breast Tumors by Eigenspectra Multispectral Optoacoustic Tomography. Cancer Res 2020; 80:5291-5304. [PMID: 32994204 DOI: 10.1158/0008-5472.can-20-1011] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 08/05/2020] [Accepted: 09/24/2020] [Indexed: 11/16/2022]
Abstract
Understanding temporal and spatial hemodynamic heterogeneity as a function of tumor growth or therapy affects the development of novel therapeutic strategies. In this study, we employed eigenspectra multispectral optoacoustic tomography (eMSOT) as a next-generation optoacoustic method to impart high accuracy in resolving tumor hemodynamics during bevacizumab therapy in two types of breast cancer xenografts (KPL-4 and MDA-MB-468). Patterns of tumor total hemoglobin concentration (THb) and oxygen saturation (sO2) were imaged in control and bevacizumab-treated tumors over the course of 58 days (KPL-4) and 16 days (MDA-MB-468), and the evolution of functional vasculature "normalization" was resolved macroscopically. An initial sharp drop in tumor sO2 and THb content shortly after the initiation of bevacizumab treatment was followed by a recovery in oxygenation levels. Rim-core subregion analysis revealed steep spatial oxygenation gradients in growing tumors that were reduced after bevacizumab treatment. Critically, eMSOT imaging findings were validated directly by histopathologic assessment of hypoxia (pimonidazole) and vascularity (CD31). These data demonstrate how eMSOT brings new abilities for accurate observation of entire tumor responses to challenges at spatial and temporal dimensions not available by other techniques today. SIGNIFICANCE: Accurate assessment of hypoxia and vascularization over space and time is critical for understanding tumor development and the role of spatial heterogeneity in tumor aggressiveness, metastasis, and response to treatment.
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Affiliation(s)
- Evangelos Liapis
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Munich, Neuherberg, Germany.
| | - Uwe Klemm
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Munich, Neuherberg, Germany
| | - Angelos Karlas
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Munich, Neuherberg, Germany.,Chair of Biological Imaging, TranslaTUM Technical University of Munich, Munich, Germany
| | - Josefine Reber
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Munich, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Munich, Neuherberg, Germany.,Chair of Biological Imaging, TranslaTUM Technical University of Munich, Munich, Germany
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32
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Xavierselvan M, Singh MKA, Mallidi S. In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System. SENSORS (BASEL, SWITZERLAND) 2020; 20:E4503. [PMID: 32806575 PMCID: PMC7472236 DOI: 10.3390/s20164503] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 08/07/2020] [Accepted: 08/08/2020] [Indexed: 12/13/2022]
Abstract
Photoacoustic (PA) imaging has shown tremendous promise for imaging tumor vasculature and its function at deeper penetration depths without the use of exogenous contrast agents. Traditional PA imaging systems employ expensive and bulky class IV lasers with low pulse repetition rate, due to which its availability for preclinical cancer research is hampered. In this study, we evaluated the capability of a Light-Emitting Diode (LED)-based PA and ultrasound (US) imaging system for monitoring heterogeneous microvasculature in tumors (up to 10 mm in depth) and quantitatively compared the PA images with gold standard histology images. We used a combination of a 7 MHz linear array US transducer and 850 nm excitation wavelength LED arrays to image blood vessels in a subcutaneous tumor model. After imaging, the tumors were sectioned and stained for endothelial cells to correlate with PA images across similar cross-sections. Analysis of 30 regions of interest in tumors from different mice showed a statistically significant R-value of 0.84 where the areas with high blood vessel density had high PA response while low blood vessel density regions had low PA response. Our results confirm that LED-based PA and US imaging can provide 2D and 3D images of tumor vasculature and the potential it has as a valuable tool for preclinical cancer research.
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Affiliation(s)
- Marvin Xavierselvan
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA;
| | - Mithun Kuniyil Ajith Singh
- Research & Business Development Division, Cyberdyne INC, Cambridge Innovation Center, 3013 Rotterdam, The Netherlands;
| | - Srivalleesha Mallidi
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA;
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
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33
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Mahmoodkalayeh S, Zarei M, Ansari MA, Kratkiewicz K, Ranjbaran M, Manwar R, Avanaki K. Improving vascular imaging with co-planar mutually guided photoacoustic and diffuse optical tomography: a simulation study. BIOMEDICAL OPTICS EXPRESS 2020; 11:4333-4347. [PMID: 32923047 PMCID: PMC7449743 DOI: 10.1364/boe.385017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 07/01/2020] [Accepted: 07/01/2020] [Indexed: 05/04/2023]
Abstract
Diffuse optical tomography (DOT) and photoacoustic tomography (PAT) are functional imaging modalities that provide absorption coefficient maps of the tissue. Spatial resolution of DOT is relatively low due to light scattering characteristics of the tissue. On the other hand, although PAT can resolve regions of different absorptions with a high spatial resolution, measuring the absolute value of optical absorptions using PAT is challenging due to unknown light fluence distribution in the tissue. Development of image guidance techniques using a priori information of imaging target structure has been shown to increase the accuracy of DOT. PAT is one such method that can be used as a complementary modality to serve as a guide for DOT image reconstruction. On the other hand, estimated fluence map provided by DOT can be used to quantitatively correct PAT images. In this study we introduce a mutually-guided imaging system for fast and simultaneous optical and photoacoustic measurements of tissue absorption map, where DOT is guided by the PAT image and vice versa. Using the obtained absorption map of the tissue, we then estimate the tissue scattering map. We conducted this study using a series of simulations on digital phantoms and demonstrated the effectiveness of the proposed method.
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Affiliation(s)
| | - Mehrdad Zarei
- Laser and Plasma Research Institute, Shahid Beheshti University, Tehran 19839 69411, Iran
| | - Mohammad Ali Ansari
- Laser and Plasma Research Institute, Shahid Beheshti University, Tehran 19839 69411, Iran
| | - Karl Kratkiewicz
- Wayne State University, Bioengineering Department, Detroit, Michigan 48201, USA
| | - Mohsen Ranjbaran
- Department of Physics, University of Isfahan, Isfahan 81746-73441, Iran
| | - Rayyan Manwar
- Wayne State University, Bioengineering Department, Detroit, Michigan 48201, USA
| | - Kamran Avanaki
- Richard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois 60607, USA
- Department of Dermatology, University of Illinois at Chicago, Chicago, Illinois 60607, USA
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34
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Wang H, Burke LJ, Patel J, Tse BWC, Bridle KR, Cogger VC, Li X, Liu X, Yang H, Crawford DHG, Roberts MS, Gao W, Liang X. Imaging-based vascular-related biomarkers for early detection of acetaminophen-induced liver injury. Theranostics 2020; 10:6715-6727. [PMID: 32550899 PMCID: PMC7295051 DOI: 10.7150/thno.44900] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 04/19/2020] [Indexed: 12/13/2022] Open
Abstract
Acetaminophen (APAP) is the foremost cause of drug-induced liver injury in the Western world. Most studies of APAP hepatotoxicity have focused on the hepatocellular injury, but current hepatocyte-related biomarkers have delayed presentation time and a lack of sensitivity. APAP overdose can induce hepatic microvascular congestion, which importantly precedes the injury of hepatocytes. However, the underlying molecular mechanisms remain unclear. It is imperative to discover and validate sensitive and specific translational biomarkers of APAP-induced liver injury. Methods: In this study, we assessed APAP toxicity in sinusoidal endothelial cells and hepatocytes in mice treated with overdose APAP at different time points. The underlying mechanisms of APAP overdose induced sinusoidal endothelial cell injury were investigated by RT2 Profiler PCR arrays. The impact of APAP overdose on endothelial cell function was assessed by pseudovessel formation of endothelial cells in 2D Matrigel and in vivo hepatic vascular integrity using multiphoton microscopy. Finally, the effects of APAP overdose on oxygen levels in the liver and hepatic microcirculation were evaluated by contrast enhanced ultrasonography. Potential imaging-based vascular-related markers for early detection of APAP induced liver injury were assessed. Results: Our study confirmed that hepatic endothelial cells are an early and direct target for APAP hepatotoxicity. ICAM1-related cellular adhesion pathways played a prominent role in APAP-induced endothelial cell injury, which was further validated in primary human sinusoidal endothelial cells and human livers after APAP overdose. APAP overdose impacted pseudovessel formation of endothelial cells and in vivo hepatic vascular integrity. Use of ultrasound to detect APAP-induced liver injury demonstrated that mean transit time, an imaging-based vascular-related biomarker, was more sensitive and precise for early detection of APAP hepatotoxicity and monitoring the treatment response in comparison with a conventional blood-based biomarker. Conclusion: Imaging-based vascular-related biomarkers can identify early and mild liver injury induced by APAP overdose. With further development, such biomarkers may improve the assessment of liver injury and the efficacy of clinical decision-making, which can be extended to other microvascular dysfunction of deep organs.
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Affiliation(s)
- Haolu Wang
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, 4102, Australia
- Gallipoli Medical Research Institute, Greenslopes Private Hospital, Brisbane, QLD, 4120, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4072, Australia
- Department of Biliary-pancreatic Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Leslie J. Burke
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, 4102, Australia
- Gallipoli Medical Research Institute, Greenslopes Private Hospital, Brisbane, QLD, 4120, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Jatin Patel
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, 4102, Australia
| | - Brian WC. Tse
- Preclinical Imaging Facility, Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Kim R. Bridle
- Gallipoli Medical Research Institute, Greenslopes Private Hospital, Brisbane, QLD, 4120, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Victoria C. Cogger
- The University of Sydney, Concord Hospital, Concord, NSW, 2139, Australia
| | - Xinxing Li
- Department of General Surgery, Changzheng Hospital, The Second Military Medical University, Shanghai, 200003, China
| | - Xin Liu
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, 4102, Australia
| | - Haotian Yang
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, 4102, Australia
| | - Darrell H. G. Crawford
- Gallipoli Medical Research Institute, Greenslopes Private Hospital, Brisbane, QLD, 4120, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Michael S. Roberts
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, 4102, Australia
| | - Wenchao Gao
- Department of General Surgery, Changzheng Hospital, The Second Military Medical University, Shanghai, 200003, China
| | - Xiaowen Liang
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, 4102, Australia
- Gallipoli Medical Research Institute, Greenslopes Private Hospital, Brisbane, QLD, 4120, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4072, Australia
- Department of General Surgery, Changzheng Hospital, The Second Military Medical University, Shanghai, 200003, China
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35
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Niendorf T, Seeliger E, Cantow K, Flemming B, Waiczies S, Pohlmann A. Probing renal blood volume with magnetic resonance imaging. Acta Physiol (Oxf) 2020; 228:e13435. [PMID: 31876349 DOI: 10.1111/apha.13435] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 12/18/2019] [Accepted: 12/19/2019] [Indexed: 02/06/2023]
Abstract
Damage to the kidney substantially reduces life expectancy. Renal tissue hypoperfusion and hypoxia are key elements in the pathophysiology of acute kidney injury and its progression to chronic kidney disease. In vivo assessment of renal haemodynamics and tissue oxygenation remains a challenge. Blood oxygenation level-dependent (BOLD) magnetic resonance imaging (MRI) is sensitive to changes in the effective transversal relaxation time (T2 *) in vivo, and is non-invasive and indicative of renal tissue oxygenation. However, the renal T2 * to tissue pO2 relationship is not governed exclusively by renal blood oxygenation, but is affected by physiological confounders with alterations in renal blood volume fraction (BVf) being of particular relevance. To decipher this interference probing renal BVf is essential for the pursuit of renal MR oximetry. Superparamagnetic iron oxide nanoparticle (USPIO) preparations can be used as MRI visible blood pool markers for detailing alterations in BVf. This review promotes the opportunities of MRI-based assessment of renal BVf. Following an outline on the specifics of renal oxygenation and perfusion, changes in renal BVf upon interventions and their potential impact on renal T2 * are discussed. We also describe the basic principles of renal BVf assessment using ferumoxytol-enhanced MRI in the equilibrium concentration regimen. We demonstrate that ferumoxytol does not alter control of renal haemodynamics and oxygenation. Preclinical applications of ferumoxytol enhanced renal MRI as well as considerations for its clinical implementation for examining renal BVf changes are provided alongside practical considerations. Finally, we explore the future directions of MRI-based assessment of renal BVf.
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Affiliation(s)
- Thoralf Niendorf
- Berlin Ultrahigh Field Facility (B.U.F.F.) Max Delbrück Center for Molecular Medicine in the Helmholtz Association Berlin Germany
| | - Erdmann Seeliger
- Institute of Physiology Charité – Universitätsmedizin Berlin Campus Mitte, and Center for Cardiovascular Research (CCR) Berlin Germany
| | - Kathleen Cantow
- Institute of Physiology Charité – Universitätsmedizin Berlin Campus Mitte, and Center for Cardiovascular Research (CCR) Berlin Germany
| | - Bert Flemming
- Institute of Physiology Charité – Universitätsmedizin Berlin Campus Mitte, and Center for Cardiovascular Research (CCR) Berlin Germany
| | - Sonia Waiczies
- Berlin Ultrahigh Field Facility (B.U.F.F.) Max Delbrück Center for Molecular Medicine in the Helmholtz Association Berlin Germany
| | - Andreas Pohlmann
- Berlin Ultrahigh Field Facility (B.U.F.F.) Max Delbrück Center for Molecular Medicine in the Helmholtz Association Berlin Germany
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Hai P, Qu Y, Li Y, Zhu L, Shmuylovich L, Cornelius LA, Wang LV. Label-free high-throughput photoacoustic tomography of suspected circulating melanoma tumor cells in patients in vivo. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-17. [PMID: 32170857 PMCID: PMC7069252 DOI: 10.1117/1.jbo.25.3.036002] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 02/27/2020] [Indexed: 05/07/2023]
Abstract
SIGNIFICANCE Detection and characterization of circulating tumor cells (CTCs), a key determinant of metastasis, are critical for determining risk of disease progression, understanding metastatic pathways, and facilitating early clinical intervention. AIM We aim to demonstrate label-free imaging of suspected melanoma CTCs. APPROACH We use a linear-array-based photoacoustic tomography system (LA-PAT) to detect melanoma CTCs, quantify their contrast-to-noise ratios (CNRs), and measure their flow velocities in most of the superficial veins in humans. RESULTS With LA-PAT, we successfully imaged suspected melanoma CTCs in patients in vivo, with a CNR >9. CTCs were detected in 3 of 16 patients with stage III or IV melanoma. Among the three CTC-positive patients, two had disease progression; among the 13 CTC-negative patients, 4 showed disease progression. CONCLUSIONS We suggest that LA-PAT can detect suspected melanoma CTCs in patients in vivo and has potential clinical applications for disease monitoring in melanoma.
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Affiliation(s)
- Pengfei Hai
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, United States
- California Institute of Technology, Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Pasadena, California, United States
| | - Yuan Qu
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, United States
| | - Yang Li
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, United States
- California Institute of Technology, Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Pasadena, California, United States
| | - Liren Zhu
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, United States
- California Institute of Technology, Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Pasadena, California, United States
| | - Leonid Shmuylovich
- Washington University School of Medicine, Division of Dermatology, St. Louis, Missouri, United States
| | - Lynn A. Cornelius
- Washington University School of Medicine, Division of Dermatology, St. Louis, Missouri, United States
- Address all correspondence to Lynn A. Cornelius, E-mail: ; Lihong V. Wang, E-mail:
| | - Lihong V. Wang
- California Institute of Technology, Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Pasadena, California, United States
- California Institute of Technology, Caltech Optical Imaging Laboratory, Department of Electrical Engineering, Pasadena, California, United States
- Address all correspondence to Lynn A. Cornelius, E-mail: ; Lihong V. Wang, E-mail:
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Hester SC, Kuriakose M, Nguyen CD, Mallidi S. Role of Ultrasound and Photoacoustic Imaging in Photodynamic Therapy for Cancer. Photochem Photobiol 2020; 96:260-279. [PMID: 31919853 PMCID: PMC7187279 DOI: 10.1111/php.13217] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 11/28/2019] [Indexed: 12/20/2022]
Abstract
Photodynamic therapy (PDT) is a phototoxic treatment with high spatial and temporal control and has shown tremendous promise in the management of cancer due to its high efficacy and minimal side effects. PDT efficacy is dictated by a complex relationship between dosimetry parameters such as the concentration of the photosensitizer at the tumor site, its spatial localization (intracellular or extracellular), light dose and distribution, oxygen distribution and concentration, and the heterogeneity of the inter- and intratumoral microenvironment. Studying and characterizing these parameters, along with monitoring tumor heterogeneity pre- and post-PDT, provides essential data for predicting therapeutic response and the design of subsequent therapies. In this review, we elucidate the role of ultrasound (US) and photoacoustic imaging in improving PDT-mediated outcomes in cancer-from tracking photosensitizer uptake and vascular destruction, to measuring oxygenation dynamics and the overall evaluation of tumor responses. We also present recent advances in multifunctional theranostic nanomaterials that can improve either US or photoacoustic imaging contrast, as well as deliver photosensitizers specifically to tumors. Given the wide availability, low-cost, portability and nonionizing nature of US and photoacoustic imaging, together with their capabilities of providing multiparametric morphological and functional information, these technologies are thusly inimitable when deployed in conjunction with PDT.
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Affiliation(s)
- Scott C. Hester
- Department of Biomedical EngineeringTufts UniversityMedfordMA
| | - Maju Kuriakose
- Department of Biomedical EngineeringTufts UniversityMedfordMA
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Development of an embedded multimodality imaging platform for onco-pharmacology using a smart anticancer prodrug as an example. Sci Rep 2020; 10:2661. [PMID: 32060400 PMCID: PMC7021674 DOI: 10.1038/s41598-020-59561-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 01/28/2020] [Indexed: 11/08/2022] Open
Abstract
Increasingly, in vivo imaging holds a strategic position in bio-pharmaceutical innovation. We will present the implementation of an integrated multimodal imaging setup enabling the assessment of multiple, complementary parameters. The system allows the fusion of information provided by: Near infrared fluorescent biomarkers, bioluminescence (for tumor proliferation status), Photoacoustic and Ultrasound imaging. We will study representative applications to the development of a smart prodrug, delivering a highly cytotoxic chemotherapeutic agent to cancer tumors. The results realized the ability of this embedded, multimodality imaging platform to firstly detect bioluminescent and fluorescent signals, and secondly, record ultrasound and photoacoustic data from the same animal. This study demonstrated that the prodrug was effective in three different models of hypoxia in human cancers compared to the parental cytotoxic agent and the vehicle groups. Monitoring by photoacoustic imaging during the treatments revealed that the prodrug exhibits an intrinsic capability to prevent the progression of tumor hypoxia. It is essential for onco-pharmacology studies to precisely document the hypoxic status of tumors both before and during the time course of treatments. This approach opens new perspectives for exploitation of preclinical mouse models of cancer, especially when considering associations between hypoxia, neoangiogenesis and antitumor activity.
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Shrestha B, DeLuna F, Anastasio MA, Yong Ye J, Brey EM. Photoacoustic Imaging in Tissue Engineering and Regenerative Medicine. TISSUE ENGINEERING. PART B, REVIEWS 2020; 26:79-102. [PMID: 31854242 PMCID: PMC7041335 DOI: 10.1089/ten.teb.2019.0296] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 12/13/2019] [Indexed: 12/16/2022]
Abstract
Several imaging modalities are available for investigation of the morphological, functional, and molecular features of engineered tissues in small animal models. While research in tissue engineering and regenerative medicine (TERM) would benefit from a comprehensive longitudinal analysis of new strategies, researchers have not always applied the most advanced methods. Photoacoustic imaging (PAI) is a rapidly emerging modality that has received significant attention due to its ability to exploit the strong endogenous contrast of optical methods with the high spatial resolution of ultrasound methods. Exogenous contrast agents can also be used in PAI for targeted imaging. Applications of PAI relevant to TERM include stem cell tracking, longitudinal monitoring of scaffolds in vivo, and evaluation of vascularization. In addition, the emerging capabilities of PAI applied to the detection and monitoring of cancer and other inflammatory diseases could be exploited by tissue engineers. This article provides an overview of the operating principles of PAI and its broad potential for application in TERM. Impact statement Photoacoustic imaging, a new hybrid imaging technique, has demonstrated high potential in the clinical diagnostic applications. The optical and acoustic aspect of the photoacoustic imaging system works in harmony to provide better resolution at greater tissue depth. Label-free imaging of vasculature with this imaging can be used to track and monitor disease, as well as the therapeutic progression of treatment. Photoacoustic imaging has been utilized in tissue engineering to some extent; however, the full benefit of this technique is yet to be explored. The increasing availability of commercial photoacoustic systems will make application as an imaging tool for tissue engineering application more feasible. This review first provides a brief description of photoacoustic imaging and summarizes its current and potential application in tissue engineering.
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Affiliation(s)
- Binita Shrestha
- Department of Biomedical Engineering, University of Texas at San Antonio, San Antonio, Texas
| | - Frank DeLuna
- Department of Biomedical Engineering, University of Texas at San Antonio, San Antonio, Texas
| | - Mark A. Anastasio
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - Jing Yong Ye
- Department of Biomedical Engineering, University of Texas at San Antonio, San Antonio, Texas
| | - Eric M. Brey
- Department of Biomedical Engineering, University of Texas at San Antonio, San Antonio, Texas
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41
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Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation. Nat Commun 2019; 10:5704. [PMID: 31836713 PMCID: PMC6911112 DOI: 10.1038/s41467-019-13726-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 11/22/2019] [Indexed: 12/16/2022] Open
Abstract
Glioblastoma (GBM) is an aggressive type of brain cancer with remarkable cell migration and adaptation capabilities. Exploratory adaptation-utilization of random changes in gene regulation for adaptive benefits-was recently proposed as the process enabling organisms to survive unforeseen conditions. We investigate whether exploratory adaption explains how GBM cells from different anatomic regions of the tumor cope with micro-environmental pressures. We introduce new notions of phenotype and phenotype distance, and determine probable spatial-phenotypic trajectories based on patient data. While some cell phenotypes are inherently plastic, others are intrinsically rigid with respect to phenotypic transitions. We demonstrate that stochastic exploration of the regulatory network structure confers benefits through enhanced adaptive capacity in new environments. Interestingly, even with exploratory capacity, phenotypic paths are constrained to pass through specific, spatial-phenotypic ranges. This work has important implications for understanding how such adaptation contributes to the recurrence dynamics of GBM and other solid tumors.
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Yu Q, Huang S, Wu Z, Zheng J, Chen X, Nie L. Label-Free Visualization of Early Cancer Hepatic Micrometastasis and Intraoperative Image-Guided Surgery by Photoacoustic Imaging. J Nucl Med 2019; 61:1079-1085. [PMID: 31806769 DOI: 10.2967/jnumed.119.233155] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 11/11/2019] [Indexed: 12/21/2022] Open
Abstract
The detection of cancer micrometastasis for early diagnosis and treatment poses a great challenge for conventional imaging techniques. The aim of our study was to evaluate the performance of photoacoustic imaging (PAI) in detecting hepatic micrometastases from melanoma at a very early stage and in aiding tumor resection by intraoperative guidance. Methods: In vivo studies were performed by following protocols approved by the Ethical Committee for Animal Research at Xiamen University. First, a mouse model of B16 melanoma metastatic to the liver (n = 10) was established to study the development of micrometastases in vivo. Next, the mice were imaged by a scalable PAI instrument, ultrasound, 9.4-T high-resolution MRI, PET/CT, and bioluminescence imaging. PAI scans acquired with optical wavelengths of 680-850 nm were kept spectrally unmixed by using a linear least-squares method to differentiate various components. Differences in signal-to-background ratios among different modalities were determined with the 2-tailed paired t test. The diagnostic results were assessed with histologic examination. Excised liver samples from patients diagnosed with hepatic cancer were also examined to identify the tumor boundaries. Surgical removal of metastatic melanoma was precisely guided in vivo by the portable PAI system. Results: PAI was able to detect metastases as small as approximately 400 μm at a depth of up to 7 mm in vivo-a size that is smaller than can be detected with ultrasound and MRI. The tumor-to-liver ratio for PAI at 8 d (4.2 ± 0.2, n = 6) and 14 d (9.2 ± 0.4, n = 5) was significantly higher than for PET/CT (1.8 ± 0.1, n = 5, and 4.5 ± 0.2, n = 5, respectively; P < 0.001 for both). Functional PAI revealed dynamic oxygen saturation changes during tumor growth. The limit of detection was approximately 219 cells/μL in vitro. We successfully performed intraoperative PAI-guided surgery in vivo using the portable PAI system. Conclusion: Our findings offer a rapid and effective complementary clinical imaging application to noninvasively detect micrometastases and guide intraoperative resection.
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Affiliation(s)
- Qian Yu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis and Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China
| | - Shanshan Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis and Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China
| | - Zhiyou Wu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis and Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China
| | - Jiadi Zheng
- Department of Neurosurgery, Xiamen Hospital, Beijing University of Chinese Medicine, Xiamen, China; and
| | - Xiaoyuan Chen
- Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland
| | - Liming Nie
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis and Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China
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Hochuli R, An L, Beard PC, Cox BT. Estimating blood oxygenation from photoacoustic images: can a simple linear spectroscopic inversion ever work? JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-13. [PMID: 31849203 PMCID: PMC7005536 DOI: 10.1117/1.jbo.24.12.121914] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 11/21/2019] [Indexed: 05/07/2023]
Abstract
Linear spectroscopic inversions, in which photoacoustic amplitudes are assumed to be directly proportional to absorption coefficients, are widely used in photoacoustic imaging to estimate blood oxygen saturation because of their simplicity. Unfortunately, they do not account for the spatially varying wavelength-dependence of the light fluence within the tissue, which introduces "spectral coloring," a potentially significant source of error. However, accurately correcting for spectral coloring is challenging, so we investigated whether there are conditions, e.g., sets of wavelengths, where it is possible to ignore the spectral coloring and still obtain accurate oxygenation measurements using linear inversions. Accurate estimates of oxygenation can be obtained when the wavelengths are chosen to (i) minimize spectral coloring, (ii) avoid ill-conditioning, and (iii) maintain a sufficiently high signal-to-noise ratio (SNR) for the estimates to be meaningful. It is not obvious which wavelengths will satisfy these conditions, and they are very likely to vary for different imaging scenarios, making it difficult to find general rules. Through the use of numerical simulations, we isolated the effect of spectral coloring from sources of experimental error. It was shown that using wavelengths between 500 nm and 1000 nm yields inaccurate estimates of oxygenation and that careful selection of wavelengths in the 620- to 920-nm range can yield more accurate oxygenation values. However, this is only achievable with a good prior estimate of the true oxygenation. Even in this idealized case, it was shown that considerable care must be exercised over the choice of wavelengths when using linear spectroscopic inversions to obtain accurate estimates of blood oxygenation. This suggests that for a particular imaging scenario, obtaining accurate and reliable oxygenation estimates using linear spectroscopic inversions requires careful modeling or experimental studies of that scenario, taking account of the instrumentation, tissue anatomy, likely sO2 range, and image formation process.
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Affiliation(s)
- Roman Hochuli
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
| | - Lu An
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
| | - Paul C. Beard
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
| | - Benjamin T. Cox
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
- Address all correspondence to Benjamin T. Cox, E-mail:
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Merkes JM, Rueping M, Kiessling F, Banala S. Photoacoustic Detection of Superoxide Using Oxoporphyrinogen and Porphyrin. ACS Sens 2019; 4:2001-2008. [PMID: 31262172 DOI: 10.1021/acssensors.9b00224] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The superoxide (O2•-) ion is a highly reactive oxygen species involved in many diseases; hence, its noninvasive detection is desirable to identify the onset of pathological processes. Here, we employed photoacoustic (PA) spectroscopy, which enables imaging at ultrasound resolution with the sensitivity of optical modality, for the first time to detect O2•-, using stimuli-responsive contrast agents. meso-(3,5-Di-tert-butyl 4-hydroxyphenyl) porphyrins and oxoporphyrinogens were used as PA contrast agents, which trap the O2•- and enable its detection. The trapped O2•- increased the PA signal amplitude of chromophores up to 9.6-fold, and induced a red-shift in the PA signal maxima of up to 225 nm. Therefore, these trigger-responsive probes may be highly valuable as smart diagnostic PA probes to investigate pathological events stimulated by O2•- species.
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Affiliation(s)
- Jean Michél Merkes
- Institute of Organic Chemistry, RWTH Aachen University, Landoltweg 1, D52074 Aachen, Germany
| | - Magnus Rueping
- Institute of Organic Chemistry, RWTH Aachen University, Landoltweg 1, D52074 Aachen, Germany
- KAUST Catalysis Center (KCC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Fabian Kiessling
- Institute for Experimental Molecular Imaging, University Clinic, and Comprehensive Diagnostic Center Aachen, RWTH Aachen University, Forckenbeckstrasse 55, D52074 Aachen, Germany
| | - Srinivas Banala
- Institute of Organic Chemistry, RWTH Aachen University, Landoltweg 1, D52074 Aachen, Germany
- Institute for Experimental Molecular Imaging, University Clinic, and Comprehensive Diagnostic Center Aachen, RWTH Aachen University, Forckenbeckstrasse 55, D52074 Aachen, Germany
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Chen M, Knox HJ, Tang Y, Liu W, Nie L, Chan J, Yao J. Simultaneous photoacoustic imaging of intravascular and tissue oxygenation. OPTICS LETTERS 2019; 44:3773-3776. [PMID: 31368965 PMCID: PMC6697144 DOI: 10.1364/ol.44.003773] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 07/01/2019] [Indexed: 05/18/2023]
Abstract
Hypoxia, a low tissue oxygenation condition caused by insufficient oxygen supply, leads to potentially irreversible tissue damage, such as brain infarction during stroke. Intravascular oxygenation has long been used by photoacoustic imaging, among other imaging modalities, to study hypoxia. However, intravascular oxygenation describes only the oxygen supply via microcirculation, which does not directly reflect the amount of free oxygen available for metabolism in the interstitial fluid. Therefore, to fully understand hypoxia, it is highly desirable to monitor blood oxygenation as well as tissue oxygenation during the same biological process. In this work, by combining high-resolution photoacoustic microscopy (PAM) and a novel bioreducible N-oxide-based hypoxia-sensitive probe HyP-650, we have demonstrated simultaneous imaging of intravascular oxygenation and tissue hypoxia. We have established detailed chemical, optical, and photoacoustic properties of HyP-650 for hypoxic activation in vitro and in living cells. We have also performed PAM on hindlimb ischemia models and tumor-bearing mice to study the correlation between intravascular oxygenation and tissue oxygenation at various hypoxic levels. We expect that Hyp-650 enhanced photoacoustic imaging will find a variety of applications in brain and cancer research.
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Affiliation(s)
- Maomao Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, Xiamen University, Xiamen 361102, China
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Hailey J. Knox
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Yuqi Tang
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Wei Liu
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Liming Nie
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, Xiamen University, Xiamen 361102, China
- Corresponding author: ;;
| | - Jefferson Chan
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Corresponding author: ;;
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
- Corresponding author: ;;
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Han Z, Shang W, Liang X, Yan H, Hu M, Peng L, Jiang H, Fang C, Wang K, Tian J. An Innovation for Treating Orthotopic Pancreatic Cancer by Preoperative Screening and Imaging-Guided Surgery. Mol Imaging Biol 2019; 21:67-77. [PMID: 29858735 DOI: 10.1007/s11307-018-1209-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE Pancreatic cancer is still associated with a poor outcome and low patient quality of life, which are mainly attributed to the late detection and requirement of distal pancreatectomy with extended resection of pancreatic tumors. Therefore, novel strategies for early screening and precise tumor resection are urgently needed. In this study, we evaluated the feasibility of a low-density lipoprotein receptor (LDLR)-targeted small-molecule contrast agent (peptide-22-Cy7) for early screening with photoacoustic tomography and near-infrared (NIR) imaging as guided surgical navigation to achieve precise resection. PROCEDURE Normal pancreatic cells (HPDE6-C7) and cancer cells (PANC-1) were respectively used in the in vitro targeting evaluations. The ability of peptide-22-Cy7 for preoperative in vivo pancreatic tumor detection was investigated in a mouse orthotopic pancreatic cancer model (n = 10) using photoacoustic tomography; 18 tumor-bearing mice were further divided into three groups for different treatments. After intravenous injection of peptide-22-Cy7, surgical navigation was conducted through laparotomy. Histopathological analysis was used to further confirm the tumor area and the state of surgical margins. RESULTS Flow cytometry demonstrated that peptide-22 is highly specific to pancreatic cancer cells, with a fluorescence intensity of approximately 87.3 %. Orthotopic pancreatic tumors with a size of 4 mm could be accurately detected by photoacoustic tomography. Surgical navigation effectively achieved R0 resection and minimized the range of resection, which led to increased body weight of the mice following surgery. CONCLUSION Overall, our newly developed targeted contrast agent facilitated the accurate positioning and resection of pancreatic tumors. Photoacoustic tomography and optical imaging-guided surgical navigation may be a novel direction for improving the survival, quality of life, and disease management of pancreatic cancer patients.
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Affiliation(s)
- Ziyu Han
- Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.,CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,University of Chinese Academy of Sciences, Beijing, 100080, China.,Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou, 510280, China
| | - Wenting Shang
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiaoyuan Liang
- Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.,Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou, 510280, China
| | - Hao Yan
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Min Hu
- Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.,Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou, 510280, China
| | - Li Peng
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Hongmei Jiang
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Chihua Fang
- Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China. .,Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou, 510280, China.
| | - Kun Wang
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,University of Chinese Academy of Sciences, Beijing, 100080, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China. .,CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Zhongguancun East Road #95, Haidian Dist, Beijing, 100190, China.
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Brown E, Brunker J, Bohndiek SE. Photoacoustic imaging as a tool to probe the tumour microenvironment. Dis Model Mech 2019; 12:12/7/dmm039636. [PMID: 31337635 PMCID: PMC6679374 DOI: 10.1242/dmm.039636] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The tumour microenvironment (TME) is a complex cellular ecosystem subjected to chemical and physical signals that play a role in shaping tumour heterogeneity, invasion and metastasis. Studying the roles of the TME in cancer progression would strongly benefit from non-invasive visualisation of the tumour as a whole organ in vivo, both preclinically in mouse models of the disease, as well as in patient tumours. Although imaging techniques exist that can probe different facets of the TME, they face several limitations, including limited spatial resolution, extended scan times and poor specificity from confounding signals. Photoacoustic imaging (PAI) is an emerging modality, currently in clinical trials, that has the potential to overcome these limitations. Here, we review the biological properties of the TME and potential of existing imaging methods that have been developed to analyse these properties non-invasively. We then introduce PAI and explore the preclinical and clinical evidence that support its use in probing multiple features of the TME simultaneously, including blood vessel architecture, blood oxygenation, acidity, extracellular matrix deposition, lipid concentration and immune cell infiltration. Finally, we highlight the future prospects and outstanding challenges in the application of PAI as a tool in cancer research and as part of a clinical oncologist's arsenal. Summary: This Review details the potential of photoacoustic imaging to visualise features of the tumour microenvironment such as blood vessels, hypoxia, fibrosis and immune infiltrate to provide unprecedented insight into tumour biology.
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Affiliation(s)
- Emma Brown
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK.,Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Joanna Brunker
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK.,Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Sarah E Bohndiek
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK .,Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
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Wood C, Harutyunyan K, Sampaio DR, Konopleva M, Bouchard R. Photoacoustic-based oxygen saturation assessment of murine femoral bone marrow in a preclinical model of leukemia. PHOTOACOUSTICS 2019; 14:31-36. [PMID: 31049286 PMCID: PMC6484208 DOI: 10.1016/j.pacs.2019.01.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 01/18/2019] [Accepted: 01/24/2019] [Indexed: 05/02/2023]
Abstract
A variety of hematological diseases manifest in the bone marrow (BM), broadly characterized as BM failure (BMF). BMF can be caused by acute lymphoblastic leukemia (ALL), which results in an expansion of hypoxic regions in the BM. Because of this hypoxic presentation, there is potential for improved characterization of BMF through in vivo assessment of oxygenation in the BM cavity. Photoacoustic (PA) imaging can provide local assessment of intravascular oxygen saturation (SO2), which has been shown to correlate with pimonidazole-assessed hypoxia. This study introduces an optimized PA imaging technique to assess SO2 within the femoral BM cavity through disease progression in a murine model of ALL. Results show a statistically significant difference with temporal changes in SO2 (from baseline) between control and diseased cohorts, demonstrating the potential of PA imaging for noninvasive, label-free monitoring of BMF diseases.
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Affiliation(s)
- Cayla Wood
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
| | - Karine Harutyunyan
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Diego R.T. Sampaio
- Department of Physics, University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
| | - Richard Bouchard
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
- Corresponding author at: Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
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Liu Y, Bhattarai P, Dai Z, Chen X. Photothermal therapy and photoacoustic imaging via nanotheranostics in fighting cancer. Chem Soc Rev 2019; 48:2053-2108. [PMID: 30259015 PMCID: PMC6437026 DOI: 10.1039/c8cs00618k] [Citation(s) in RCA: 1581] [Impact Index Per Article: 316.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The nonradiative conversion of light energy into heat (photothermal therapy, PTT) or sound energy (photoacoustic imaging, PAI) has been intensively investigated for the treatment and diagnosis of cancer, respectively. By taking advantage of nanocarriers, both imaging and therapeutic functions together with enhanced tumour accumulation have been thoroughly studied to improve the pre-clinical efficiency of PAI and PTT. In this review, we first summarize the development of inorganic and organic nano photothermal transduction agents (PTAs) and strategies for improving the PTT outcomes, including applying appropriate laser dosage, guiding the treatment via imaging techniques, developing PTAs with absorption in the second NIR window, increasing photothermal conversion efficiency (PCE), and also increasing the accumulation of PTAs in tumours. Second, we introduce the advantages of combining PTT with other therapies in cancer treatment. Third, the emerging applications of PAI in cancer-related research are exemplified. Finally, the perspectives and challenges of PTT and PAI for combating cancer, especially regarding their clinical translation, are discussed. We believe that PTT and PAI having noteworthy features would become promising next-generation non-invasive cancer theranostic techniques and improve our ability to combat cancers.
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Affiliation(s)
- Yijing Liu
- Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Pravin Bhattarai
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China
| | - Zhifei Dai
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China
| | - Xiaoyuan Chen
- Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
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Martinho Costa M, Shah A, Rivens I, Box C, O’Shea T, Papaevangelou E, Bamber J, ter Haar G. Quantitative photoacoustic imaging study of tumours in vivo: Baseline variations in quantitative measurements. PHOTOACOUSTICS 2019; 13:53-65. [PMID: 30581729 PMCID: PMC6297191 DOI: 10.1016/j.pacs.2018.12.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 12/06/2018] [Accepted: 12/06/2018] [Indexed: 05/14/2023]
Abstract
Photoacoustic imaging (PAI) provides information on haemoglobin levels and blood oxygenation (sO2). To facilitate assessment of the variability in sO2 and haemoglobin in tumours, for example in response to therapies, the baseline variability of these parameters was evaluated in subcutaneous head and neck tumours in mice, using a PAI system (MSOTinVision-256TF). Tumours of anaesthetized animals (midazolam-fentanyl-medetomidine) were imaged for 75 min, in varying positions, and repeatedly over 6 days. An increasing linear trend for average tumoural haemoglobin and blood sO2 was observed, when imaging over 75 min. There were no significant differences in these temporal trends, when repositioning tumours. A negative correlation was found between the percent decrease in blood sO2 over 6 days and tumour growth rate. This paper shows the potential of PAI to provide baseline data for assessing the significance of intra- and inter-tumoural variations that may eventually have value for predicting and/or monitoring cancer treatment response.
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Affiliation(s)
- Márcia Martinho Costa
- Joint Department of Physics and Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Foundation Trust, Sutton, London, SM2 5PT, United Kingdom
| | - Anant Shah
- Joint Department of Physics and Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Foundation Trust, Sutton, London, SM2 5PT, United Kingdom
| | - Ian Rivens
- Joint Department of Physics and Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Foundation Trust, Sutton, London, SM2 5PT, United Kingdom
| | - Carol Box
- Joint Department of Physics and Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Foundation Trust, Sutton, London, SM2 5PT, United Kingdom
| | - Tuathan O’Shea
- Joint Department of Physics and Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Foundation Trust, Sutton, London, SM2 5PT, United Kingdom
| | - Efthymia Papaevangelou
- School of Immunology and Microbial Sciences, Guy’s Hospital, King’s College London, London, SE1 9RT, United Kingdom
| | - Jeffrey Bamber
- Joint Department of Physics and Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Foundation Trust, Sutton, London, SM2 5PT, United Kingdom
| | - Gail ter Haar
- Joint Department of Physics and Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Foundation Trust, Sutton, London, SM2 5PT, United Kingdom
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