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Parra Raad J, Lock D, Liu YY, Solomon M, Peralta L, Christensen-Jeffries K. Optically Validated Microvascular Phantom for Super-Resolution Ultrasound Imaging. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2024; 71:1833-1843. [PMID: 39475744 DOI: 10.1109/tuffc.2024.3484770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/05/2025]
Abstract
Super-resolution ultrasound (SRUS) visualizes microvasculature beyond the ultrasound (US) diffraction limit (wavelength( )/2) by localizing and tracking spatially isolated microbubble (MB) contrast agents. SRUS phantoms typically consist of simple tube structures, where diameter channels below m are not available. Furthermore, these phantoms are generally fragile and unstable, have limited ground truth validation, and their simple structure limits the evaluation of SRUS algorithms. To aid SRUS development, robust and durable phantoms with known and physiologically relevant microvasculature are needed for repeatable SRUS testing. This work proposes a method to fabricate durable microvascular phantoms that allow optical gauging for SRUS validation. The methodology used a microvasculature negative print embedded in a Polydimethylsiloxane (PDMS) to fabricate a microvascular phantom. Branching microvascular phantoms with variable microvascular density were demonstrated with optically validated vessel diameters down to m ( ; m). SRUS imaging was performed and validated with optical measurements. The average SRUS error was m ( ) with a standard deviation error of m. The average error decreased to m ( ) once the number of localized MBs surpassed 1000 per estimated diameter. In addition, less than 10% variance of acoustic and optical properties and the mechanical toughness of the phantoms measured a year after fabrication demonstrated their long-term durability. This work presents a method to fabricate durable and optically validated complex microvascular phantoms which can be used to quantify SRUS performance and facilitate its further development.
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Ghigo N, Ramos-Palacios G, Bourquin C, Xing P, Wu A, Cortés N, Ladret H, Ikan L, Casanova C, Porée J, Sadikot A, Provost J. Dynamic Ultrasound Localization Microscopy Without ECG-Gating. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:1436-1448. [PMID: 38969526 DOI: 10.1016/j.ultrasmedbio.2024.05.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 05/04/2024] [Accepted: 05/22/2024] [Indexed: 07/07/2024]
Abstract
OBJECTIVE Dynamic Ultrasound Localization Microscopy (DULM) has first been developed for non-invasive Pulsatility measurements in the rodent brain. DULM relies on the localization and tracking of microbubbles (MBs) injected into the bloodstream, to obtain highly resolved velocity and density cine-loops. Previous DULM techniques required ECG-gating, limiting its application to specific datasets, and increasing acquisition time. The objective of this study is to eliminate the need for ECG-gating in DULM experiments by introducing a motion-matching method for time registration. METHODS We developed a motion-matching algorithm based on tissue Doppler that leverages the cyclic tissue motion within the brain. Tissue Doppler was estimated for each group of frames in the acquisitions, at multiple locations identified as local maxima in the skin above the skull. Subsequently, each group of frames was time-registered to a reference group by delaying it based on the maximum correlation value between their respective tissue Doppler signals. This synchronization ensured that each group of frames aligned with the brain tissue motion of the reference group, and consequently, with its cardiac cycle. As a result, velocities of MBs could be averaged to retrieve flow velocity variations over time. RESULTS Initially validated in ECG-gated acquisitions in a rat model (n = 1), the proposed method was successfully applied in a mice model in 2D (n = 3) and in a feline model in 3D (n = 1). Performing time-registration with the proposed motion-matching method or by using ECG-gating leads to similar results. For the first time, dynamic velocity and density cine-loops were extracted without the need for any information on the animal ECG, and complex dynamic markers such as the Pulsatility index were estimated. CONCLUSION Results suggest that DULM can be performed without external gating, enabling the use of DULM on any ULM dataset where enough MBs are detectable. Time registration by motion-matching represents a significant advancement in DULM techniques, making DULM more accessible by simplifying its experimental complexity.
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Affiliation(s)
- Nin Ghigo
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada.
| | | | - Chloé Bourquin
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Paul Xing
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Alice Wu
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Nelson Cortés
- School of Optometry, University of Montreal, Montréal, Quebec, Canada
| | - Hugo Ladret
- School of Optometry, University of Montreal, Montréal, Quebec, Canada; Institut de Neurosciences de la Timone, UMR 7289, CNRS and Aix-Marseille Université, Marseille, France
| | - Lamyae Ikan
- School of Optometry, University of Montreal, Montréal, Quebec, Canada
| | | | - Jonathan Porée
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Abbas Sadikot
- Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada
| | - Jean Provost
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada; Montreal Heart Institute, Montréal, Quebec, Canada
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Xu M, Tan J, Liu X, Han L, Ge C, Zhang Y, Luo F, Wang Z, Xue X, Xiong L, Wang X, Zhang Q, Wang X, Tian Q, Zhang S, Meng Q, Dai X, Kuang Q, Li Q, Lou D, Hu L, Liu X, Kuang G, Luo J, Chang C, Wang B, Chai J, Shi S, Han L. Tripartite motif containing 26 prevents steatohepatitis progression by suppressing C/EBPδ signalling activation. Nat Commun 2023; 14:6384. [PMID: 37821436 PMCID: PMC10567751 DOI: 10.1038/s41467-023-42040-9] [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: 01/06/2023] [Accepted: 09/26/2023] [Indexed: 10/13/2023] Open
Abstract
Currently potential preclinical drugs for the treatment of nonalcoholic steatohepatitis (NASH) and NASH-related pathopoiesis have failed to achieve expected therapeutic efficacy due to the complexity of the pathogenic mechanisms. Here we show Tripartite motif containing 26 (TRIM26) as a critical endogenous suppressor of CCAAT/enhancer binding protein delta (C/EBPδ), and we also confirm that TRIM26 is an C/EBPδ-interacting partner protein that catalyses the ubiquitination degradation of C/EBPδ in hepatocytes. Hepatocyte-specific loss of Trim26 disrupts liver metabolic homeostasis, followed by glucose metabolic disorder, lipid accumulation, increased hepatic inflammation, and fibrosis, and dramatically facilitates NASH-related phenotype progression. Inversely, transgenic Trim26 overexpression attenuates the NASH-associated phenotype in a rodent or rabbit model. We provide mechanistic evidence that, in response to metabolic insults, TRIM26 directly interacts with C/EBPδ and promotes its ubiquitin proteasome degradation. Taken together, our present findings identify TRIM26 as a key suppressor over the course of NASH development.
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Affiliation(s)
- Minxuan Xu
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China.
- Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, College of Bioengineering, Chongqing University, 400030, Chongqing, P. R. China.
| | - Jun Tan
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China.
| | - Xin Liu
- Department of Gastrointestinal Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Science, 250117, Jinan, P. R. China
| | - Li Han
- Department of Gastrointestinal Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Science, 250117, Jinan, P. R. China
| | - Chenxu Ge
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
- Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, College of Bioengineering, Chongqing University, 400030, Chongqing, P. R. China
| | - Yujie Zhang
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Fufang Luo
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Zhongqin Wang
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Xiaoqin Xue
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Liangyin Xiong
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Xin Wang
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Qinqin Zhang
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Xiaoxin Wang
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Qin Tian
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Shuguang Zhang
- Department of Gastrointestinal Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Science, 250117, Jinan, P. R. China
| | - Qingkun Meng
- Geriatrics Department, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, 250117, Jinan, P. R. China
| | - Xianling Dai
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
- Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, College of Bioengineering, Chongqing University, 400030, Chongqing, P. R. China
| | - Qin Kuang
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
- Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, College of Bioengineering, Chongqing University, 400030, Chongqing, P. R. China
| | - Qiang Li
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Deshuai Lou
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Linfeng Hu
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
- Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, College of Bioengineering, Chongqing University, 400030, Chongqing, P. R. China
| | - Xi Liu
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Gang Kuang
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Jing Luo
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir Region, School of Biological and Chemical Engineering, Chongqing University of Education, 400067, Chongqing, P. R. China
| | - Chunxiao Chang
- Geriatrics Department, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, 250117, Jinan, P. R. China
| | - Bochu Wang
- Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, College of Bioengineering, Chongqing University, 400030, Chongqing, P. R. China
| | - Jie Chai
- Geriatrics Department, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, 250117, Jinan, P. R. China
| | - Shengbin Shi
- New Drug Technology R&D Center, Nanjing Biomed Sciences Inc., 210003, Nanjing, P. R. China.
| | - Lianyi Han
- Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences, Fudan University, 315211, Shanghai, China.
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Xu M, Tan J, Zhu L, Ge C, Zhang Y, Gao F, Dai X, Kuang Q, Chai J, Zou B, Wang B. Palmitoyltransferase ZDHHC3 Aggravates Nonalcoholic Steatohepatitis by Targeting S-Palmitoylated IRHOM2. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2302130. [PMID: 37544908 PMCID: PMC10558657 DOI: 10.1002/advs.202302130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/20/2023] [Indexed: 08/08/2023]
Abstract
Underestimation of the complexity of pathogenesis in nonalcoholic steatohepatitis (NASH) significantly encumbers development of new drugs and targeted therapy strategies. Inactive rhomboid protein 2 (IRHOM2) has a multifunctional role in regulating inflammation, cell survival, and immunoreaction. Although cytokines and chemokines promote IRHOM2 trafficking or cooperate with partner factors by phosphorylation or ubiquitin ligases-mediated ubiquitination to perform physiological process, it remains unknown whether other regulators induce IRHOM2 activation via different mechanisms in NASH progression. Here the authors find that IRHOM2 is post-translationally S-palmitoylated at C476 in iRhom homology domain (IRHD), which facilitates its cytomembrane translocation and stabilization. Fatty-acids challenge can directly promote IRHOM2 trafficking by increasing its palmitoylation. Additionally, the authors identify Zinc finger DHHC-type palmitoyltransferase 3 (ZDHHC3) as a key acetyltransferase required for the IRHOM2 palmitoylation. Fatty-acids administration enhances IRHOM2 palmitoylation by increasing the direct association between ZDHHC3 and IRHOM2, which is catalyzed by the DHHC (C157) domain of ZDHHC3. Meanwhile, a metabolic stresses-triggered increase of ZDHHC3 maintains palmitoylated IRHOM2 accumulation by blocking its ubiquitination, consequently suppressing its ubiquitin-proteasome-related degradation mediated by tripartite motif containing 31 (TRIM31). High-levels of ZDHHC3 protein abundance positively correlate with the severity of NASH phenotype in patient samples. Hepatocyte-specific dysfunction of ZDHHC3 significantly inhibits palmitoylated IRHOM2 deposition, therefore suppressing the fatty-acids-mediated hepatosteatosis and inflammation in vitro, as well as NASH pathological phenotype induced by two different high-energy diets (HFHC & WTDF) in the in vivo rodent and rabbit model. Inversely, specific restoration of ZDHHC3 in hepatocytes markedly provides acceleration over the course of NASH development via increasing palmitoylation of IRHOM2 along with suppression of ubiquitin degradation. The current work uncovers that ZDHHC3-induced palmitoylation is a novel regulatory mechanism and signal that regulates IRHOM2 trafficking, which confers evidence associating the regulation of palmitoylation with NASH progression.
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Affiliation(s)
- Minxuan Xu
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir RegionSchool of Biological and Chemical EngineeringChongqing University of EducationChongqing400067P. R. China
- College of Modern Health IndustryChongqing University of EducationChongqing400067P. R. China
- Key Laboratory of Biorheological Science and Technology (Chongqing University)Ministry of EducationCollege of BioengineeringChongqing UniversityChongqing400030P. R. China
| | - Jun Tan
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir RegionSchool of Biological and Chemical EngineeringChongqing University of EducationChongqing400067P. R. China
- College of Modern Health IndustryChongqing University of EducationChongqing400067P. R. China
| | - Liancai Zhu
- Key Laboratory of Biorheological Science and Technology (Chongqing University)Ministry of EducationCollege of BioengineeringChongqing UniversityChongqing400030P. R. China
| | - Chenxu Ge
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir RegionSchool of Biological and Chemical EngineeringChongqing University of EducationChongqing400067P. R. China
- College of Modern Health IndustryChongqing University of EducationChongqing400067P. R. China
- Key Laboratory of Biorheological Science and Technology (Chongqing University)Ministry of EducationCollege of BioengineeringChongqing UniversityChongqing400030P. R. China
| | - Yi Zhang
- Department of Gastrointestinal SurgeryShandong Cancer Hospital and InstituteShandong First Medical University&Shandong Academy of Medical ScienceJinan250117P. R. China
| | - Fufeng Gao
- Department of Gastrointestinal SurgeryShandong Cancer Hospital and InstituteShandong First Medical University&Shandong Academy of Medical ScienceJinan250117P. R. China
| | - Xianling Dai
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir RegionSchool of Biological and Chemical EngineeringChongqing University of EducationChongqing400067P. R. China
- Key Laboratory of Biorheological Science and Technology (Chongqing University)Ministry of EducationCollege of BioengineeringChongqing UniversityChongqing400030P. R. China
| | - Qin Kuang
- Chongqing Key Laboratory of Medicinal Resources in the Three Gorges Reservoir RegionSchool of Biological and Chemical EngineeringChongqing University of EducationChongqing400067P. R. China
- Key Laboratory of Biorheological Science and Technology (Chongqing University)Ministry of EducationCollege of BioengineeringChongqing UniversityChongqing400030P. R. China
| | - Jie Chai
- Department of Gastrointestinal SurgeryShandong Cancer Hospital and InstituteShandong First Medical University&Shandong Academy of Medical ScienceJinan250117P. R. China
| | - Benkui Zou
- Department of Gastrointestinal SurgeryShandong Cancer Hospital and InstituteShandong First Medical University&Shandong Academy of Medical ScienceJinan250117P. R. China
| | - Bochu Wang
- Key Laboratory of Biorheological Science and Technology (Chongqing University)Ministry of EducationCollege of BioengineeringChongqing UniversityChongqing400030P. R. China
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5
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Zhang G, Liao C, Hu JR, Hu HM, Lei YM, Harput S, Ye HR. Nanodroplet-Based Super-Resolution Ultrasound Localization Microscopy. ACS Sens 2023; 8:3294-3306. [PMID: 37607403 DOI: 10.1021/acssensors.3c00418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Over the past decade, super-resolution ultrasound localization microscopy (SR-ULM) has revolutionized ultrasound imaging with its capability to resolve the microvascular structures below the ultrasound diffraction limit. The introduction of this imaging technique enables the visualization, quantification, and characterization of tissue microvasculature. The early implementations of SR-ULM utilize microbubbles (MBs) that require a long image acquisition time due to the requirement of capturing sparsely isolated microbubble signals. The next-generation SR-ULM employs nanodroplets that have the potential to significantly reduce the image acquisition time without sacrificing the resolution. This review discusses various nanodroplet-based ultrasound localization microscopy techniques and their corresponding imaging mechanisms. A summary is given on the preclinical applications of SR-ULM with nanodroplets, and the challenges in the clinical translation of nanodroplet-based SR-ULM are presented while discussing the future perspectives. In conclusion, ultrasound localization microscopy is a promising microvasculature imaging technology that can provide new diagnostic and prognostic information for a wide range of pathologies, such as cancer, heart conditions, and autoimmune diseases, and enable personalized treatment monitoring at a microlevel.
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Affiliation(s)
- Ge Zhang
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan 430080, People's Republic of China
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, People's Republic of China
- Physics for Medicine Paris, Inserm U1273, ESPCI Paris, PSL University, CNRS, Paris 75015, France
| | - Chen Liao
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan 430080, People's Republic of China
- Medical College, Wuhan University of Science and Technology, Wuhan 430065, People's Republic of China
| | - Jun-Rui Hu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People's Republic of China
| | - Hai-Man Hu
- Department of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, People's Republic of China
| | - Yu-Meng Lei
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan 430080, People's Republic of China
| | - Sevan Harput
- Department of Electrical and Electronic Engineering, London South Bank University, London SE1 0AA, U.K
| | - Hua-Rong Ye
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan 430080, People's Republic of China
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Song P, Rubin JM, Lowerison MR. Super-resolution ultrasound microvascular imaging: Is it ready for clinical use? Z Med Phys 2023; 33:309-323. [PMID: 37211457 PMCID: PMC10517403 DOI: 10.1016/j.zemedi.2023.04.001] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/31/2023] [Accepted: 04/01/2023] [Indexed: 05/23/2023]
Abstract
The field of super-resolution ultrasound microvascular imaging has been rapidly growing over the past decade. By leveraging contrast microbubbles as point targets for localization and tracking, super-resolution ultrasound pinpoints the location of microvessels and measures their blood flow velocity. Super-resolution ultrasound is the first in vivo imaging modality that can image micron-scale vessels at a clinically relevant imaging depth without tissue destruction. These unique capabilities of super-resolution ultrasound provide structural (vessel morphology) and functional (vessel blood flow) assessments of tissue microvasculature on a global and local scale, which opens new doors for many enticing preclinical and clinical applications that benefit from microvascular biomarkers. The goal of this short review is to provide an update on recent advancements in super-resolution ultrasound imaging, with a focus on summarizing existing applications and discussing the prospects of translating super-resolution imaging to clinical practice and research. In this review, we also provide brief introductions of how super-resolution ultrasound works, how does it compare with other imaging modalities, and what are the tradeoffs and limitations for an audience who is not familiar with the technology.
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Affiliation(s)
- Pengfei Song
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, United States; Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, United States; Department of Bioengineering, University of Illinois Urbana-Champaign, United States; Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, United States.
| | - Jonathan M Rubin
- Department of Radiology, University of Michigan, Ann Arbor, United States
| | - Matthew R Lowerison
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, United States; Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, United States
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Brown KG, Li J, Margolis R, Trinh B, Eisenbrey JR, Hoyt K. Assessment of Transarterial Chemoembolization Using Super-resolution Ultrasound Imaging and a Rat Model of Hepatocellular Carcinoma. ULTRASOUND IN MEDICINE & BIOLOGY 2023; 49:1318-1326. [PMID: 36868958 DOI: 10.1016/j.ultrasmedbio.2023.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/23/2023] [Accepted: 01/25/2023] [Indexed: 05/11/2023]
Abstract
OBJECTIVE Hepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer diagnosed annually in 600,000 people worldwide. A common treatment is transarterial chemoembolization (TACE), which interrupts the blood supply of oxygen and nutrients to the tumor mass. The need for repeat TACE treatments may be assessed in the weeks after therapy with contrast-enhanced ultrasound (CEUS) imaging. Although the spatial resolution of traditional CEUS has been restricted by the diffraction limit of ultrasound (US), this physical barrier has been overcome by a recent innovation known as super-resolution US (SRUS) imaging. In short, SRUS enhances the visible details of smaller microvascular structures on the 10 to 100 µm scale, which unlocks a host of new clinical opportunities for US. METHODS In this study, a rat model of orthotopic HCC is introduced and TACE treatment response (to a doxorubicin-lipiodol emulsion) is assessed using longitudinal SRUS and magnetic resonance imaging (MRI) performed at 0, 7 and 14 d. Animals were euthanized at 14 d for histological analysis of excised tumor tissue and determination of TACE response, that is, control, partial response or complete response. CEUS imaging was performed using a pre-clinical US system (Vevo 3100, FUJIFILM VisualSonics Inc.) equipped with an MX201 linear array transducer. After administration of a microbubble contrast agent (Definity, Lantheus Medical Imaging), a series of CEUS images were collected at each tissue cross-section as the transducer was mechanically stepped at 100 μm increments. SRUS images were formed at each spatial position, and a microvascular density metric was calculated. Microscale computed tomography (microCT, OI/CT, MILabs) was used to confirm TACE procedure success, and tumor size was monitored using a small animal MRI system (BioSpec 3T, Bruker Corp.). RESULTS Although there were no differences at baseline (p > 0.15), both microvascular density levels and tumor size measures from the complete responder cases at 14 d were considerably lower and smaller, respectively, than those in the partial responder or control group animals. Histological analysis revealed tumor-to-necrosis levels of 8.4%, 51.1% and 100%, for the control, partial responder and complete responder groups, respectively (p < 0.005). CONCLUSION SRUS imaging is a promising modality for assessing early changes in microvascular networks in response to tissue perfusion-altering interventions such as TACE treatment of HCC.
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Affiliation(s)
- Katherine G Brown
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, USA
| | - Junjie Li
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, USA
| | - Ryan Margolis
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, USA
| | - Brian Trinh
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, USA
| | - John R Eisenbrey
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Kenneth Hoyt
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
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Tai H, Basavarajappa L, Hoyt K. 3-D H-scan ultrasound imaging of relative scatterer size using a matrix array transducer and sparse random aperture compounding. Comput Biol Med 2022; 151:106316. [PMID: 36442278 PMCID: PMC9749370 DOI: 10.1016/j.compbiomed.2022.106316] [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: 05/26/2022] [Revised: 11/05/2022] [Accepted: 11/13/2022] [Indexed: 11/18/2022]
Abstract
H-scan ultrasound (US) is a high-resolution imaging technique for soft tissue characterization. By acquiring data in volume space, H-scan US can provide insight into subtle tissue changes or heterogenous patterns that might be missed using traditional cross-sectional US imaging approaches. In this study, we introduce a 3-dimensional (3-D) H-scan US imaging technology for voxel-level tissue characterization in simulation and experimentation. Using a matrix array transducer, H-scan US imaging was developed to evaluate the relative size of US scattering aggregates in volume space. Experimental data was acquired using a programmable US system (Vantage 256, Verasonics Inc, Kirkland, WA) equipped with a 1024-element (32 × 32) matrix array transducer (Vermon Inc, Tours, France). Imaging was performed using the full array in transmission. Radiofrequency (RF) data sequences were collected using a sparse random aperture compounding technique with 6 different data compounding approaches. Plane wave imaging at five angles was performed at a center frequency of 8 MHz. Scan conversion and attenuation correction were applied. To generate the 3-D H-scan US images, a convolution filter bank (N = 256) was then used to process the RF data sequences and measure the spectral content of the backscattered US signals before volume reconstruction. Preliminary experimental studies were conducted using homogeneous phantom materials embedded with spherical US scatterers of varying diameter, i.e., 27 to 45, 63 to 75, or 106-126 μm. Both simulated and experimental results revealed that 3-D H-scan US images have a low spatial variance when tested with homogeneous phantom materials. Furthermore, H-scan US is considerably more sensitive than traditional B-mode US imaging for differentiating US scatterers of varying size (p = 0.001 and p = 0.93, respectively). Overall, this study demonstrates the feasibility of 3-D H-scan US imaging using a matrix array transducer for tissue characterization in volume space.
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Affiliation(s)
- Haowei Tai
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, USA
| | - Lokesh Basavarajappa
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, USA
| | - Kenneth Hoyt
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
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9
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Taghavi I, Andersen SB, Hoyos CAV, Schou M, Gran F, Hansen KL, Nielsen MB, Sørensen CM, Stuart MB, Jensen JA. Ultrasound super-resolution imaging with a hierarchical Kalman tracker. ULTRASONICS 2022; 122:106695. [PMID: 35149256 DOI: 10.1016/j.ultras.2022.106695] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 11/18/2021] [Accepted: 01/19/2022] [Indexed: 06/14/2023]
Abstract
Microbubble (MB) tracking plays an important role in ultrasound super-resolution imaging (SRI) by enabling velocity estimation and improving image quality. This work presents a new hierarchical Kalman (HK) tracker to achieve better performance at scenarios with high concentrations of MBs and high localization uncertainty. The method attempts to follow MBs with different velocity ranges using different Kalman filters. An extended simulation framework for evaluating trackers is also presented and used for comparison of the proposed HK tracker with the nearest-neighbor (NN) and Kalman (K) trackers. The HK tracks were most similar to the ground truth with the highest Jaccard similarity coefficient in 79% of the scenarios and the lowest root-mean-square error in 72% of the scenarios. The HK tracker reconstructed vessels with a more accurate diameter. In a scenario with an uncertainty of 51.2μm in MB localization, a vessel diameter of 250μm was estimated as 257μm by HK tracker, compared with 329μm and 389μm for the K and NN trackers. In the same scenario, the HK tracker estimated MB velocities with a relative bias down to 1.7% and a relative standard deviation down to 8.3%. Finally, the different tracking techniques were applied to in vivo data from rat kidneys, and trends similar to the simulations were observed. Conclusively, the results showed an improvement in tracking performance, when the HK tracker was employed in comparison with the NN and K trackers.
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Affiliation(s)
- Iman Taghavi
- Center for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, DK 2800, Kgs. Lyngby Denmark.
| | - Sofie Bech Andersen
- Department of Biomedical Sciences, University of Copenhagen, DK 2200, Copenhagen, Denmark; Department of Diagnostic Radiology, Rigshospitalet, DK 2100, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, DK 2200, Copenhagen, Denmark.
| | | | - Mikkel Schou
- Center for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, DK 2800, Kgs. Lyngby Denmark.
| | | | - Kristoffer Lindskov Hansen
- Department of Diagnostic Radiology, Rigshospitalet, DK 2100, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, DK 2200, Copenhagen, Denmark.
| | - Michael Bachmann Nielsen
- Department of Diagnostic Radiology, Rigshospitalet, DK 2100, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, DK 2200, Copenhagen, Denmark.
| | | | - Matthias Bo Stuart
- Center for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, DK 2800, Kgs. Lyngby Denmark.
| | - Jørgen Arendt Jensen
- Center for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, DK 2800, Kgs. Lyngby Denmark.
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10
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Andersen SB, Taghavi I, Søgaard SB, Hoyos CAV, Nielsen MB, Jensen JA, Sørensen CM. Super-Resolution Ultrasound Imaging Can Quantify Alterations in Microbubble Velocities in the Renal Vasculature of Rats. Diagnostics (Basel) 2022; 12:1111. [PMID: 35626267 PMCID: PMC9140053 DOI: 10.3390/diagnostics12051111] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/04/2022] [Accepted: 04/27/2022] [Indexed: 11/17/2022] Open
Abstract
Super-resolution ultrasound imaging, based on the localization and tracking of single intravascular microbubbles, makes it possible to map vessels below 100 µm. Microbubble velocities can be estimated as a surrogate for blood velocity, but their clinical potential is unclear. We investigated if a decrease in microbubble velocity in the arterial and venous beds of the renal cortex, outer medulla, and inner medulla was detectable after intravenous administration of the α1-adrenoceptor antagonist prazosin. The left kidneys of seven rats were scanned with super-resolution ultrasound for 10 min before, during, and after prazosin administration using a bk5000 ultrasound scanner and hockey-stick probe. The super-resolution images were manually segmented, separating cortex, outer medulla, and inner medulla. Microbubble tracks from arteries/arterioles were separated from vein/venule tracks using the arterial blood flow direction. The mean microbubble velocities from each scan were compared. This showed a significant prazosin-induced velocity decrease only in the cortical arteries/arterioles (from 1.59 ± 0.38 to 1.14 ± 0.31 to 1.18 ± 0.33 mm/s, p = 0.013) and outer medulla descending vasa recta (from 0.70 ± 0.05 to 0.66 ± 0.04 to 0.69 ± 0.06 mm/s, p = 0.026). Conclusively, super-resolution ultrasound imaging makes it possible to detect and differentiate microbubble velocity responses to prazosin simultaneously in the renal cortical and medullary vascular beds.
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Affiliation(s)
- Sofie Bech Andersen
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (S.B.S.); (C.M.S.)
- Department of Diagnostic Radiology, University Hospital Rigshospitalet, 2100 Copenhagen, Denmark;
| | - Iman Taghavi
- Center for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, 2800 Lyngby, Denmark; (I.T.); (J.A.J.)
| | - Stinne Byrholdt Søgaard
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (S.B.S.); (C.M.S.)
- Department of Diagnostic Radiology, University Hospital Rigshospitalet, 2100 Copenhagen, Denmark;
| | | | - Michael Bachmann Nielsen
- Department of Diagnostic Radiology, University Hospital Rigshospitalet, 2100 Copenhagen, Denmark;
- Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Jørgen Arendt Jensen
- Center for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, 2800 Lyngby, Denmark; (I.T.); (J.A.J.)
| | - Charlotte Mehlin Sørensen
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (S.B.S.); (C.M.S.)
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11
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Phillippi JA. On vasa vasorum: A history of advances in understanding the vessels of vessels. SCIENCE ADVANCES 2022; 8:eabl6364. [PMID: 35442731 PMCID: PMC9020663 DOI: 10.1126/sciadv.abl6364] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 03/01/2022] [Indexed: 05/09/2023]
Abstract
The vasa vasorum are a vital microvascular network supporting the outer wall of larger blood vessels. Although these dynamic microvessels have been studied for centuries, the importance and impact of their functions in vascular health and disease are not yet fully realized. There is now rich knowledge regarding what local progenitor cell populations comprise and cohabitate with the vasa vasorum and how they might contribute to physiological and pathological changes in the network or its expansion via angiogenesis or vasculogenesis. Evidence of whether vasa vasorum remodeling incites or governs disease progression or is a consequence of cardiovascular pathologies remains limited. Recent advances in vasa vasorum imaging for understanding cardiovascular disease severity and pathophysiology open the door for theranostic opportunities. Approaches that strive to control angiogenesis and vasculogenesis potentiate mitigation of vasa vasorum-mediated contributions to cardiovascular diseases and emerging diseases involving the microcirculation.
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Affiliation(s)
- Julie A. Phillippi
- Department of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, USA
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA
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12
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Porte C, Kiessling F. [Super-resolution ultrasound imaging : Methods and applications]. Radiologe 2022; 62:467-474. [PMID: 35380263 DOI: 10.1007/s00117-022-00995-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 11/24/2022]
Abstract
CLINICAL/METHODICAL ISSUE The microvasculature plays an important role in many pathologic conditions but cannot be characterized in high resolution via conventional ultrasound methods. STANDARD RADIOLOGICAL METHODS Doppler-based techniques, contrast-enhanced sonography as well as dynamic contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used to characterize tissue vascularization. However, these techniques cannot visualize the microvasculature adequately. METHODICAL INNOVATION Ultrasound localization microscopy (ULM) consists of contrast-enhanced ultrasound measurements in combination with a complex post-processing algorithm which detects microbubbles with high precision. The vasculature can then be visualized by accumulating the microbubble positions in a final image. PERFORMANCE Compared to conventional ultrasound techniques, ULM improves the image resolution by a factor of more than 10. This currently results in resolutions down to 10 µm and allows, therefore, the visualization of capillaries and the assessment of their perfusion. Also, this does not lead to a reduction of the penetration depth or the signal-to-noise ratio (SNR). ACHIEVEMENT The method enables the visualization of vascular structures in unsurpassed detail and has the potential to offer new possibilities for the diagnosis of various diseases and for gaining insights into physiological processes. However, ULM is not commercially available yet but is intensely being tested in clinical studies. PRACTICAL RECOMMENDATIONS ULM could potentially be applied to all fields in which the vasculature is relevant. Current fields of application include oncology, nephrology, and neurological research.
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Affiliation(s)
- Céline Porte
- Institut für Experimentelle Molekulare Bildgebung, Rheinisch-Westfälische Technische Hochschule Aachen, Center for Biohybrid Medical Systems, Forckenbeckstraße 55, 52074, Aachen, Deutschland
| | - Fabian Kiessling
- Institut für Experimentelle Molekulare Bildgebung, Rheinisch-Westfälische Technische Hochschule Aachen, Center for Biohybrid Medical Systems, Forckenbeckstraße 55, 52074, Aachen, Deutschland.
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13
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Andersen SB, Taghavi I, Kjer HM, Søgaard SB, Gundlach C, Dahl VA, Nielsen MB, Dahl AB, Jensen JA, Sørensen CM. Evaluation of 2D super-resolution ultrasound imaging of the rat renal vasculature using ex vivo micro-computed tomography. Sci Rep 2021; 11:24335. [PMID: 34934089 PMCID: PMC8692475 DOI: 10.1038/s41598-021-03726-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 12/08/2021] [Indexed: 11/29/2022] Open
Abstract
Super-resolution ultrasound imaging (SRUS) enables in vivo microvascular imaging of deeper-lying tissues and organs, such as the kidneys or liver. The technique allows new insights into microvascular anatomy and physiology and the development of disease-related microvascular abnormalities. However, the microvascular anatomy is intricate and challenging to depict with the currently available imaging techniques, and validation of the microvascular structures of deeper-lying organs obtained with SRUS remains difficult. Our study aimed to directly compare the vascular anatomy in two in vivo 2D SRUS images of a Sprague-Dawley rat kidney with ex vivo μCT of the same kidney. Co-registering the SRUS images to the μCT volume revealed visually very similar vascular features of vessels ranging from ~ 100 to 1300 μm in diameter and illustrated a high level of vessel branching complexity captured in the 2D SRUS images. Additionally, it was shown that it is difficult to use μCT data of a whole rat kidney specimen to validate the super-resolution capability of our ultrasound scans, i.e., validating the actual microvasculature of the rat kidney. Lastly, by comparing the two imaging modalities, fundamental challenges for 2D SRUS were demonstrated, including the complexity of projecting a 3D vessel network into 2D. These challenges should be considered when interpreting clinical or preclinical SRUS data in future studies.
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Affiliation(s)
- Sofie Bech Andersen
- Department of Biomedical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.
- Department of Radiology, Rigshospitalet, 2100, Copenhagen, Denmark.
| | - Iman Taghavi
- Center for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Hans Martin Kjer
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Stinne Byrholdt Søgaard
- Department of Biomedical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark
- Department of Radiology, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Carsten Gundlach
- Department of Physics, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Vedrana Andersen Dahl
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Michael Bachmann Nielsen
- Department of Radiology, Rigshospitalet, 2100, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, 2200, Copenhagen, Denmark
| | - Anders Bjorholm Dahl
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Jørgen Arendt Jensen
- Center for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, 2800, Lyngby, Denmark
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14
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Zhang Y, Fatima M, Hou S, Bai L, Zhao S, Liu E. Research methods for animal models of atherosclerosis (Review). Mol Med Rep 2021; 24:871. [PMID: 34713295 PMCID: PMC8569513 DOI: 10.3892/mmr.2021.12511] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 05/20/2021] [Indexed: 11/17/2022] Open
Abstract
Atherosclerosis is a chronic inflammatory disease that threatens human health and lives by causing vascular stenosis and plaque rupture. Various animal models have been employed for elucidating the pathogenesis, drug development and treatment validation studies for atherosclerosis. To the best of our knowledge, the species used for atherosclerosis research include mice, rats, hamsters, rabbits, pigs, dogs, non-human primates and birds, among which the most commonly used ones are mice and rabbits. Notably, apolipoprotein E knockout (KO) or low-density lipoprotein receptor KO mice have been the most widely used animal models for atherosclerosis research since the late 20th century. Although the aforementioned animal models can form atherosclerotic lesions, they cannot completely simulate those in humans with respect to lesion location, lesion composition, lipoprotein composition and physiological structure. Hence, an appropriate animal model needs to be selected according to the research purpose. Additionally, it is necessary for atherosclerosis research to include quantitative analysis results of atherosclerotic lesion size and plaque composition. Laboratory animals can provide not only experimental tissues for in vivo studies but also cells needed for in vitro experiments. The present review first summarizes the common animal models and their practical applications, followed by focus on mouse and rabbit models and elucidating the methods to quantify atherosclerotic lesions. Finally, the methods of culturing endothelial cells, macrophages and smooth muscle cells were elucidated in detail and the experiments involved in atherosclerosis research were discussed.
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Affiliation(s)
- Yali Zhang
- Research Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, Xi'an, Shaanxi 710061, P.R. China
| | - Mahreen Fatima
- Research Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, Xi'an, Shaanxi 710061, P.R. China
| | - Siyuan Hou
- Laboratory Animal Center, Xi'an Jiaotong University Health Science Centre, Xi'an, Shaanxi 710061, P.R. China
| | - Liang Bai
- Research Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, Xi'an, Shaanxi 710061, P.R. China
| | - Sihai Zhao
- Research Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, Xi'an, Shaanxi 710061, P.R. China
| | - Enqi Liu
- Research Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, Xi'an, Shaanxi 710061, P.R. China
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15
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Chen Q, Song H, Yu J, Kim K. Current Development and Applications of Super-Resolution Ultrasound Imaging. SENSORS 2021; 21:s21072417. [PMID: 33915779 PMCID: PMC8038018 DOI: 10.3390/s21072417] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/22/2021] [Accepted: 03/24/2021] [Indexed: 02/07/2023]
Abstract
Abnormal changes of the microvasculature are reported to be key evidence of the development of several critical diseases, including cancer, progressive kidney disease, and atherosclerotic plaque. Super-resolution ultrasound imaging is an emerging technology that can identify the microvasculature noninvasively, with unprecedented spatial resolution beyond the acoustic diffraction limit. Therefore, it is a promising approach for diagnosing and monitoring the development of diseases. In this review, we introduce current super-resolution ultrasound imaging approaches and their preclinical applications on different animals and disease models. Future directions and challenges to overcome for clinical translations are also discussed.
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Affiliation(s)
- Qiyang Chen
- Department of Bioengineering, School of Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA;
- Center for Ultrasound Molecular Imaging and Therapeutics, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Hyeju Song
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea;
| | - Jaesok Yu
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea;
- DGIST Robotics Research Center, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea
- Correspondence: (J.Y.); (K.K.)
| | - Kang Kim
- Department of Bioengineering, School of Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA;
- Center for Ultrasound Molecular Imaging and Therapeutics, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Division of Cardiology, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
- McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Mechanical Engineering and Materials Science, School of Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Correspondence: (J.Y.); (K.K.)
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