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Huang S, He H, Tom RZ, Glasl S, Anzenhofer P, Stiel AC, Hofmann SM, Ntziachristos V. Non-invasive optoacoustic imaging of dermal microcirculatory revascularization in diet-induced obese mice undergoing exercise intervention. PHOTOACOUSTICS 2024; 38:100628. [PMID: 39055739 PMCID: PMC11269314 DOI: 10.1016/j.pacs.2024.100628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/11/2024] [Accepted: 06/21/2024] [Indexed: 07/27/2024]
Abstract
Microcirculatory dysfunction has been observed in the dermal white adipose tissue (dWAT) and subcutaneous white adipose tissue (scWAT) of obese humans and has been proposed as an early prediction marker for cardio-metabolic disease progression. In-vivo visualization and longitudinal monitoring of microvascular remodeling in these tissues remains challenging. We compare the performance of two optoacoustic imaging methods, i.e. multi-spectral optoacoustic tomography (MSOT) and raster-scanning optoacoustic mesoscopy (RSOM) in visualizing lipid and hemoglobin contrast in scWAT and dWAT in a mouse model of diet-induced obesity (DIO) undergoing voluntary wheel running intervention for 32 weeks. MSOT visualized lipid and hemoglobin contrast in murine fat depots in a quantitative manner even at early stages of DIO. We show for the first time to our knowledge that RSOM allows precise visualization of the dWAT microvasculature and provides quantitative readouts of skin layer thickness and vascular density in dWAT and dermis. Combination of MSOT and RSOM resolved exercise-induced morphological changes in microvasculature density, tissue oxygen saturation, lipid and blood volume content in dWAT and scWAT. The combination of MSOT and RSOM may allow precise monitoring of microcirculatory dysfunction and intervention response in dWAT and scWAT in a mouse model for DIO. Our findings have laid out the foundation for future clinical studies using optoacoustic-derived vascular readouts from adipose tissues as a biomarker for monitoring microcirculatory function in metabolic disease.
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Affiliation(s)
- Shan Huang
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Hailong He
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Robby Zachariah Tom
- Institute of Diabetes and Regeneration Research, Helmholtz Zentrum München (GmbH), Neuherberg, Germany
- Department of Medicine IV, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sarah Glasl
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Pia Anzenhofer
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Andre C. Stiel
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- University of Regensburg, Faculty for Biology, Regensburg, Germany
| | - Susanna M. Hofmann
- Institute of Diabetes and Regeneration Research, Helmholtz Zentrum München (GmbH), Neuherberg, Germany
- Department of Medicine IV, LMU University Hospital, LMU Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg 85764, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
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2
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Li Y, Gröhl J, Haney B, Caranovic M, Lorenz-Meyer E, Papatheodorou N, Kempf J, Regensburger AP, Nedoschill E, Buehler A, Siebenlist G, Lang W, Uder M, Neurath MF, Waldner M, Knieling F, Rother U. Teachability of multispectral optoacoustic tomography. JOURNAL OF BIOPHOTONICS 2024; 17:e202400106. [PMID: 38719459 DOI: 10.1002/jbio.202400106] [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: 03/18/2024] [Revised: 04/12/2024] [Accepted: 04/19/2024] [Indexed: 07/13/2024]
Abstract
To date, the appropriate training required for the reproducible operation of multispectral optoacoustic tomography (MSOT) is poorly discussed. Therefore, the aim of this study was to assess the teachability of MSOT imaging. Five operators (two experienced and three inexperienced) performed repositioning imaging experiments. The inexperienced received the following introductions: personal supervision, video meeting, or printed introduction. The task was to image the exact same position on the calf muscle for seven times on five volunteers in two rounds of investigations. In the first session, operators used ultrasound guidance during measurements while using only photoacoustic data in the second session. The performance comparison was carried out with full-reference image quality measures to quantitatively assess the difference between repeated scans. The study demonstrates that given a personal supervision and hybrid ultrasound real-time imaging in MSOT measurements, inexperienced operators are able to achieve the same level as experienced operators in terms of repositioning accuracy.
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Affiliation(s)
- Yi Li
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Janek Gröhl
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Physics, University of Cambridge, Cambridge, UK
| | - Briain Haney
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Milenko Caranovic
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Eva Lorenz-Meyer
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Nikolaos Papatheodorou
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Julius Kempf
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Adrian P Regensburger
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Emmanuel Nedoschill
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Adrian Buehler
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Gregor Siebenlist
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Werner Lang
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Michael Uder
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Markus F Neurath
- Department of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Maximilian Waldner
- Department of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Ulrich Rother
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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3
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Dogan NO, Suadiye E, Wrede P, Lazovic J, Dayan CB, Soon RH, Aghakhani A, Richter G, Sitti M. Immune Cell-Based Microrobots for Remote Magnetic Actuation, Antitumor Activity, and Medical Imaging. Adv Healthc Mater 2024:e2400711. [PMID: 38885528 DOI: 10.1002/adhm.202400711] [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: 02/23/2024] [Revised: 05/17/2024] [Indexed: 06/20/2024]
Abstract
Translating medical microrobots into clinics requires tracking, localization, and performing assigned medical tasks at target locations, which can only happen when appropriate design, actuation mechanisms, and medical imaging systems are integrated into a single microrobot. Despite this, these parameters are not fully considered when designing macrophage-based microrobots. This study presents living macrophage-based microrobots that combine macrophages with magnetic Janus particles coated with FePt nanofilm for magnetic steering and medical imaging and bacterial lipopolysaccharides for stimulating macrophages in a tumor-killing state. The macrophage-based microrobots combine wireless magnetic actuation, tracking with medical imaging techniques, and antitumor abilities. These microrobots are imaged under magnetic resonance imaging and optoacoustic imaging in soft-tissue-mimicking phantoms and ex vivo conditions. Magnetic actuation and real-time imaging of microrobots are demonstrated under static and physiologically relevant flow conditions using optoacoustic imaging. Further, macrophage-based microrobots are magnetically steered toward urinary bladder tumor spheroids and imaged with a handheld optoacoustic device, where the microrobots significantly reduce the viability of tumor spheroids. The proposed approach demonstrates the proof-of-concept feasibility of integrating macrophage-based microrobots into clinic imaging modalities for cancer targeting and intervention, and can also be implemented for various other medical applications.
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Affiliation(s)
- Nihal Olcay Dogan
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, Zurich, 8092, Switzerland
| | - Eylül Suadiye
- Materials Central Scientific Facility, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Paul Wrede
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, Zurich, 8092, Switzerland
| | - Jelena Lazovic
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Cem Balda Dayan
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Ren Hao Soon
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, Zurich, 8092, Switzerland
| | - Amirreza Aghakhani
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute of Biomaterials and Biomolecular Systems, University of Stuttgart, 70569, Stuttgart, Germany
| | - Gunther Richter
- Materials Central Scientific Facility, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Metin Sitti
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, Zurich, 8092, Switzerland
- School of Medicine and College of Engineering, Koç University, Istanbul, 34450, Turkey
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4
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Sandoval SO, Cappuccio G, Kruth K, Osenberg S, Khalil SM, Méndez-Albelo NM, Padmanabhan K, Wang D, Niciu MJ, Bhattacharyya A, Stein JL, Sousa AMM, Waxman EA, Buttermore ED, Whye D, Sirois CL, Williams A, Maletic-Savatic M, Zhao X. Rigor and reproducibility in human brain organoid research: Where we are and where we need to go. Stem Cell Reports 2024; 19:796-816. [PMID: 38759644 DOI: 10.1016/j.stemcr.2024.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 05/19/2024] Open
Abstract
Human brain organoid models have emerged as a promising tool for studying human brain development and function. These models preserve human genetics and recapitulate some aspects of human brain development, while facilitating manipulation in an in vitro setting. Despite their potential to transform biology and medicine, concerns persist about their fidelity. To fully harness their potential, it is imperative to establish reliable analytic methods, ensuring rigor and reproducibility. Here, we review current analytical platforms used to characterize human forebrain cortical organoids, highlight challenges, and propose recommendations for future studies to achieve greater precision and uniformity across laboratories.
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Affiliation(s)
- Soraya O Sandoval
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Gerarda Cappuccio
- Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Karina Kruth
- Department of Psychiatry, University of Iowa Health Care, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, University of Iowa Health Care, Iowa City, IA 52242, USA
| | - Sivan Osenberg
- Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Saleh M Khalil
- Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Natasha M Méndez-Albelo
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; Molecular Cellular Pharmacology Training Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Krishnan Padmanabhan
- Department of Neuroscience, Center for Visual Science, Del Monte Institute for Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester NY 14642, USA
| | - Daifeng Wang
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Departments of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Mark J Niciu
- Department of Psychiatry, University of Iowa Health Care, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, University of Iowa Health Care, Iowa City, IA 52242, USA
| | - Anita Bhattacharyya
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Jason L Stein
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - André M M Sousa
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Elisa A Waxman
- Center for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Epilepsy and NeuroDevelopmental Disorders (ENDD), The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Elizabeth D Buttermore
- Human Neuron Core, Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA, USA; F.M. Kirby Neurobiology Department, Boston Children's Hospital, Boston, MA, USA
| | - Dosh Whye
- Human Neuron Core, Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA, USA; F.M. Kirby Neurobiology Department, Boston Children's Hospital, Boston, MA, USA
| | - Carissa L Sirois
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Aislinn Williams
- Department of Psychiatry, University of Iowa Health Care, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, University of Iowa Health Care, Iowa City, IA 52242, USA.
| | - Mirjana Maletic-Savatic
- Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA; Center for Drug Discovery, Baylor College of Medicine, Houston, TX, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
| | - Xinyu Zhao
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA.
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5
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Parviz M, Shokorlou YM, Heidarzadeh H. Structure of plasmonic multi spectral Apta sensor and analyzing of bulk and surface sensitivity. Sci Rep 2024; 14:13245. [PMID: 38853163 PMCID: PMC11163006 DOI: 10.1038/s41598-024-64249-4] [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: 04/30/2024] [Accepted: 06/06/2024] [Indexed: 06/11/2024] Open
Abstract
In this work, a multispectral aptasensor structure, including a sub-layer and two side walls, was presented. The cells are positioned at the down and top of the structure, with the down cells oriented perpendicular to the walls and the top cells aligned parallel to the walls. The validity of the findings was verified by the utilization of a numerical simulation technique known as 3D Finite Difference Time Domain (FDTD). The biosensor under consideration exhibits sensitivities of 1093.7 nm/RIU, 754 nm/RIU, and 707.43 nm/RIU in mode III, mode II, and mode I, respectively. In the majority of instances, the quantity of analyte available is insufficient to coat the surface of the sensor thoroughly. Consequently, in this study, the evaluation of surface sensitivity was undertaken alongside bulk sensitivity. The surface sensitivity of the suggested structure for mode II in the sensor layer, with thicknesses of 10, 20, 30, and 70 nm, is measured to be 25, 78, 344, and 717.636 nm/RIU, respectively. Our design incorporates a unique arrangement of sub-layer and side walls, with cells positioned to maximize interaction with the target analyte. This innovative configuration, combined with Ag for its superior plasmonic properties, enables the detection of E. coli O157 with remarkable sensitivity.
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Affiliation(s)
- Mahya Parviz
- Department of Electrical Engineering, University of Kurdistan, Sanandaj, Kurdistan, Iran
| | - Younes Majd Shokorlou
- Department of Electrical and Computer Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Hamid Heidarzadeh
- Department of Electrical and Computer Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.
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6
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Vonk J, Knieling F, Kruijff S. Collection on clinical photoacoustic imaging. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06780-0. [PMID: 38832946 DOI: 10.1007/s00259-024-06780-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Affiliation(s)
- J Vonk
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands.
- Medical Imaging Center, University Medical Center Groningen, PO Box 30.001, Groningen, 9700 RB, The Netherlands.
| | - F Knieling
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Paediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Paediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - S Kruijff
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
- Department of Surgery, University Medical Center Groningen, Groningen, The Netherlands
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
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7
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He CY, Li Y, Zhou ZH, Liu BH, Gao XH. High-Entropy Photothermal Materials. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2400920. [PMID: 38437805 DOI: 10.1002/adma.202400920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/28/2024] [Indexed: 03/06/2024]
Abstract
High-entropy (HE) materials, celebrated for their extraordinary chemical and physical properties, have garnered increasing attention for their broad applications across diverse disciplines. The expansive compositional range of these materials allows for nuanced tuning of their properties and innovative structural designs. Recent advances have been centered on their versatile photothermal conversion capabilities, effective across the full solar spectrum (300-2500 nm). The HE effect, coupled with hysteresis diffusion, imparts these materials with desirable thermal and chemical stability. These attributes position HE materials as a revolutionary alternative to traditional photothermal materials, signifying a transformative shift in photothermal technology. This review delivers a comprehensive summary of the current state of knowledge regarding HE photothermal materials, emphasizing the intricate relationship between their compositions, structures, light-absorbing mechanisms, and optical properties. Furthermore, the review outlines the notable advances in HE photothermal materials, emphasizing their contributions to areas, such as solar water evaporation, personal thermal management, solar thermoelectric generation, catalysis, and biomedical applications. The review culminates in presenting a roadmap that outlines prospective directions for future research in this burgeoning field, and also outlines fruitful ways to develop advanced HE photothermal materials and to expand their promising applications.
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Affiliation(s)
- Cheng-Yu He
- Laboratory of Clean Energy Chemistry and Materials, State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yang Li
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China
- Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Zhuo-Hao Zhou
- Laboratory of Clean Energy Chemistry and Materials, State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Bao-Hua Liu
- Laboratory of Clean Energy Chemistry and Materials, State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Xiang-Hu Gao
- Laboratory of Clean Energy Chemistry and Materials, State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
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8
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Tajaldeen A, Alrashidi M, Alsaadi MJ, Alghamdi SS, Alshammari H, Alsleem H, Jafer M, Aljondi R, Alqahtani S, Alotaibi A, Alzandi AM, Alahmari AM. Photoacoustic imaging in prostate cancer: A new paradigm for diagnosis and management. Photodiagnosis Photodyn Ther 2024; 47:104225. [PMID: 38821240 DOI: 10.1016/j.pdpdt.2024.104225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/24/2024] [Accepted: 05/28/2024] [Indexed: 06/02/2024]
Abstract
The global health issue of prostate cancer (PCa) requires better diagnosis and treatment. Photoacoustic imaging (PAI) may change PCa management. This review examines PAI's principles, diagnostic role, and therapeutic guidance. PAI uses optical light excitation and ultrasonic detection for high-resolution functional and molecular imaging. PAI uses endogenous and exogenous contrast agents to distinguish cancerous and benign prostate tissues with greater sensitivity and specificity than PSA testing and TRUS-guided biopsy. In addition to diagnosing, PAI can guide and monitor PCa therapy. Its real-time imaging allows precise biopsies and brachytherapy seed placement. Photoacoustic temperature imaging allows non-invasive monitoring of thermal therapies like cryotherapy, improving treatment precision and success. Transurethral illumination probes, innovative contrast agents, integration with other imaging modalities, and machine learning analysis are being developed to overcome depth and data complexity restrictions. PAI could become an essential tool for PCa diagnosis and therapeutic guidance as the field advances.
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Affiliation(s)
- Abdulrahman Tajaldeen
- Department of Radiologic Technology, College of Applied Medical Sciences, University of Jeddah, Jeddah 21959, Saudi Arabia.
| | - Muteb Alrashidi
- Department of Radiological Sciences, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Mohamed J Alsaadi
- Radiology and Medical Imaging Department, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
| | - Salem Saeed Alghamdi
- Department of Radiologic Technology, College of Applied Medical Sciences, University of Jeddah, Jeddah 21959, Saudi Arabia
| | - Hamed Alshammari
- Department of Radiological Sciences, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Haney Alsleem
- Department of Radiological Sciences, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Mustafa Jafer
- Department of Radiologic Technology, College of Applied Medical Sciences, University of Jeddah, Jeddah 21959, Saudi Arabia
| | - Rowa Aljondi
- Department of Radiologic Technology, College of Applied Medical Sciences, University of Jeddah, Jeddah 21959, Saudi Arabia
| | - Saeed Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia
| | - Awatif Alotaibi
- Department of Radiological Sciences, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Abdulrahman M Alzandi
- Department of Radiological Sciences, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
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9
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Li T, Murley GA, Liang X, Chin RL, de la Cerda J, Schuler FW, Pagel MD. Evaluations of an Early Change in Tumor Pathophysiology in Response to Radiotherapy with Oxygen Enhanced Electron Paramagnetic Resonance Imaging (OE EPRI). Mol Imaging Biol 2024; 26:448-458. [PMID: 38869818 DOI: 10.1007/s11307-024-01925-x] [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: 08/15/2023] [Revised: 05/15/2024] [Accepted: 05/26/2024] [Indexed: 06/14/2024]
Abstract
PURPOSE Electron Paramagnetic Resonance Imaging (EPRI) can image the partial pressure of oxygen (pO2) within in vivo tumor models. We sought to develop Oxygen Enhanced (OE) EPRI that measures tumor pO2 with breathing gases of 21% O2 (pO221%) and 100% O2 (pO2100%), and the differences in pO2 between breathing gases (ΔpO2). We applied OE EPRI to study the early change in tumor pathophysiology in response to radiotherapy in two tumor models of pancreatic cancer. PROCEDURES We developed a protocol that intraperitoneally administered OX071, a trityl radical contrast agent, and then acquired anatomical MR images to localize the tumor. Subsequently, we acquired two pO221% and two pO2100% maps using the T1 relaxation time of OX071 measured with EPRI and a R1-pO2 calibration of OX071. We studied 4T1 flank tumor model to evaluate the repeatability of OE EPRI. We then applied OE EPRI to study COLO 357 and Su.86.86 flank tumor models treated with 10 Gy radiotherapy. RESULTS The repeatability of mean pO2 for individual tumors was ± 2.6 Torr between successive scans when breathing 21% O2 or 100% O2, representing a precision of 9.6%. Tumor pO221% and pO2100% decreased after radiotherapy for both models, although the decreases were not significant or only moderately significant, and the effect sizes were modest. For comparison, ΔpO2 showed a large, highly significant decrease after radiotherapy, and the effect size was large. MANOVA and analyses of the HF10 hypoxia fraction provided similar results. CONCLUSIONS EPRI can evaluate tumor pO2 with outstanding precision relative to other imaging modalities. The change in ΔpO2 before vs. after treatment was the best parameter for measuring the early change in tumor pathophysiology in response to radiotherapy. Our studies have established ΔpO2 from OE EPRI as a new parameter, and have established that OE EPRI is a valuable new methodology for molecular imaging.
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Affiliation(s)
- Tianzhe Li
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
- The University of Texas Health Science Center, Houston, TX, 77030, USA
- Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, 68105, USA
| | - Grace A Murley
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
- The University of Texas Health Science Center, Houston, TX, 77030, USA
| | - Xiaofei Liang
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Renee L Chin
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
- The University of Texas Health Science Center, Houston, TX, 77030, USA
| | - Jorge de la Cerda
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - F William Schuler
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Mark D Pagel
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA.
- Department of Medical Physics, University of Wisconsin, Madison, WI, 53705, USA.
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10
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Müller M, Liu N, Gujrati V, Valavalkar A, Hartmann S, Anzenhofer P, Klemm U, Telek A, Dietzek-Ivanšić B, Hartschuh A, Ntziachristos V, Thorn-Seshold O. Merged Molecular Switches Excel as Optoacoustic Dyes: Azobenzene-Cyanines Are Loud and Photostable NIR Imaging Agents. Angew Chem Int Ed Engl 2024:e202405636. [PMID: 38807438 DOI: 10.1002/anie.202405636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 05/23/2024] [Accepted: 05/27/2024] [Indexed: 05/30/2024]
Abstract
Optoacoustic (or photoacoustic) imaging promises micron-resolution noninvasive bioimaging with much deeper penetration (>cm) than fluorescence. However, optoacoustic imaging of enzyme activity would require loud, photostable, NIR-absorbing molecular contrast agents, which remain unknown. Most organic molecular contrast agents are repurposed fluorophores, with severe shortcomings of photoinstability or phototoxicity under optoacoustic imaging, as consequences of their slow S1→S0 electronic relaxation. We now report that known fluorophores can be rationally modified to reach ultrafast S1→S0 rates, without much extra molecular complexity, simply by merging them with molecular switches. Here, we merge azobenzene switches with cyanine dyes to give ultrafast relaxation (<10 ps, >100-fold faster). Without even adapting instrument settings, these azohemicyanines display outstanding improvements in signal longevity (>1000-fold increase of photostability) and signal loudness (>3-fold even at time zero). We show why this simple but unexplored design strategy can still offer stronger performance in the future, and can also increase the spatial resolution and the quantitative linearity of photoacoustic response over extended longitudinal imaging. By bringing the world of molecular switches and rotors to bear on problems facing optoacoustic agents, this practical strategy will help to unleash the full potential of optoacoustic imaging in fundamental studies and translational uses.
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Affiliation(s)
- Markus Müller
- Department of Pharmacy, LMU Munich, Butenandtstrasse 7, Munich, 81377, Germany
| | - Nian Liu
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, Neuherberg, 85764, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM) School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich, 81675, Germany
| | - Vipul Gujrati
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, Neuherberg, 85764, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM) School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich, 81675, Germany
| | - Abha Valavalkar
- Institute of Physical Chemistry, University of Jena, Lessingstraße 4, Jena, 07743, Germany
- Research Department Functional Interfaces, Leibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, Jena, 07745, Germany
| | - Sean Hartmann
- Department of Chemistry, LMU Munich, Butenandtstrasse 8, Munich, 81377, Germany
| | - Pia Anzenhofer
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, Neuherberg, 85764, Germany
| | - Uwe Klemm
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, Neuherberg, 85764, Germany
| | - András Telek
- Department of Pharmacy, LMU Munich, Butenandtstrasse 7, Munich, 81377, Germany
| | - Benjamin Dietzek-Ivanšić
- Institute of Physical Chemistry, University of Jena, Lessingstraße 4, Jena, 07743, Germany
- Research Department Functional Interfaces, Leibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, Jena, 07745, Germany
| | - Achim Hartschuh
- Department of Chemistry, LMU Munich, Butenandtstrasse 8, Munich, 81377, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, Neuherberg, 85764, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM) School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich, 81675, Germany
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11
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Nedoschill E, Wagner AL, Danko V, Buehler A, Raming R, Jüngert J, Neurath MF, Waldner MJ, Rother U, Woelfle J, Trollmann R, Knieling F, Regensburger AP. Monitoring spinal muscular atrophy with three-dimensional optoacoustic imaging. MED 2024; 5:469-478.e3. [PMID: 38531362 DOI: 10.1016/j.medj.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/01/2024] [Accepted: 02/26/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND Spinal muscular atrophy is a progressive neuromuscular disorder and among the most frequent genetic causes of infant mortality. While recent advancements in gene therapy provide the potential to ameliorate the disease severity, there is currently no modality in clinical use to visualize dynamic pathophysiological changes in disease progression and regression after therapy. METHODS In this prospective diagnostic clinical study, ten pediatric patients with spinal muscular atrophy and ten age- and sex-matched controls have been examined with three-dimensional optoacoustic imaging and clinical standard examinations to compare the spectral profile of muscle tissue and correlate it with motor function (ClinicalTrials.gov: NCT04115475). FINDINGS We observed a reduced optoacoustic signal in muscle tissue of pediatric patients with spinal muscular atrophy. The reduction in signal intensity correlated with disease severity as assessed by grayscale ultrasound and standard motor function tests. In a cohort of patients who received disease-modifying therapy prior to the study, the optoacoustic signal intensity was similar to healthy controls. CONCLUSIONS This translational study provides early evidence that three-dimensional optoacoustic imaging could have clinical implications in monitoring disease activity in spinal muscular atrophy. By visualizing and quantifying molecular changes in muscle tissue, disease progression and effects of gene therapy can be assessed in real time. FUNDING The project was funded by ELAN Fonds (P055) at the University Hospital of the Friedrich-Alexander-Universität (FAU) Erlangen-Nurnberg to A.P.R.
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Affiliation(s)
- Emmanuel Nedoschill
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Alexandra L Wagner
- Department of Pediatric Neurology, Center for Chronically Sick Children, Charité Berlin, Berlin, Germany
| | - Vera Danko
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Adrian Buehler
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Roman Raming
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Jörg Jüngert
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Markus F Neurath
- Medical Department 1, University Hospital Erlangen, Erlangen, Germany
| | | | - Ulrich Rother
- Department of Vascular Surgery, University Hospital Erlangen, Erlangen, Germany
| | - Joachim Woelfle
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Regina Trollmann
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Adrian P Regensburger
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany.
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12
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Noversa de Sousa R, Tascilar K, Corte G, Atzinger A, Minopoulou I, Ohrndorf S, Waldner M, Schmidkonz C, Kuwert T, Knieling F, Kleyer A, Ramming A, Schett G, Simon D, Fagni F. Metabolic and molecular imaging in inflammatory arthritis. RMD Open 2024; 10:e003880. [PMID: 38341194 PMCID: PMC10862311 DOI: 10.1136/rmdopen-2023-003880] [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: 11/16/2023] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
It is known that metabolic shifts and tissue remodelling precede the development of visible inflammation and structural organ damage in inflammatory rheumatic diseases such as the inflammatory arthritides. As such, visualising and measuring metabolic tissue activity could be useful to identify biomarkers of disease activity already in a very early phase. Recent advances in imaging have led to the development of so-called 'metabolic imaging' tools that can detect these changes in metabolism in an increasingly accurate manner and non-invasively.Nuclear imaging techniques such as 18F-D-glucose and fibroblast activation protein inhibitor-labelled positron emission tomography are increasingly used and have yielded impressing results in the visualisation (including whole-body staging) of inflammatory changes in both early and established arthritis. Furthermore, optical imaging-based bedside techniques such as multispectral optoacoustic tomography and fluorescence optical imaging are advancing our understanding of arthritis by identifying intra-articular metabolic changes that correlate with the onset of inflammation with high precision and without the need of ionising radiation.Metabolic imaging holds great potential for improving the management of patients with inflammatory arthritis by contributing to early disease interception and improving diagnostic accuracy, thereby paving the way for a more personalised approach to therapy strategies including preventive strategies. In this narrative review, we discuss state-of-the-art metabolic imaging methods used in the assessment of arthritis and inflammation, and we advocate for more extensive research endeavours to elucidate their full field of application in rheumatology.
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Affiliation(s)
- Rita Noversa de Sousa
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Serviço de Medicina Interna, Hospital Pedro Hispano, Matosinhos, Portugal
- Deutsches Zentrum fuer Immuntherapie (DZI), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Koray Tascilar
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Deutsches Zentrum fuer Immuntherapie (DZI), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Giulia Corte
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Deutsches Zentrum fuer Immuntherapie (DZI), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Armin Atzinger
- Department of Nuclear Medicine, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Ioanna Minopoulou
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Deutsches Zentrum fuer Immuntherapie (DZI), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Sarah Ohrndorf
- Department of Rheumatology and Clinical Immunology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Maximilian Waldner
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Christian Schmidkonz
- Department of Nuclear Medicine, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Institute for Medical Engineering, Ostbayerische Technische Hochschule Amberg-Weiden, Amberg, Germany
| | - Torsten Kuwert
- Department of Nuclear Medicine, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Arnd Kleyer
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Department of Rheumatology and Clinical Immunology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Ramming
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Deutsches Zentrum fuer Immuntherapie (DZI), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Georg Schett
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Deutsches Zentrum fuer Immuntherapie (DZI), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - David Simon
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Department of Rheumatology and Clinical Immunology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Filippo Fagni
- Department of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- Deutsches Zentrum fuer Immuntherapie (DZI), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
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13
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Regensburger AP, Eckstein M, Wetzl M, Raming R, Paulus LP, Buehler A, Nedoschill E, Danko V, Jüngert J, Wagner AL, Schnell A, Rückel A, Rother U, Rompel O, Uder M, Hartmann A, Neurath MF, Woelfle J, Waldner MJ, Hoerning A, Knieling F. Multispectral optoacoustic tomography enables assessment of disease activity in paediatric inflammatory bowel disease. PHOTOACOUSTICS 2024; 35:100578. [PMID: 38144890 PMCID: PMC10746560 DOI: 10.1016/j.pacs.2023.100578] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/01/2023] [Accepted: 11/29/2023] [Indexed: 12/26/2023]
Abstract
Multispectral optoacoustic tomography (MSOT) allows non-invasive molecular disease activity assessment in adults with inflammatory bowel disease (IBD). In this prospective pilot-study, we investigated, whether increased levels of MSOT haemoglobin parameters corresponded to inflammatory activity in paediatric IBD patients, too. 23 children with suspected IBD underwent MSOT of the terminal ileum and sigmoid colon with standard validation (e.g. endoscopy). In Crohn`s disease (CD) and ulcerative colitis (UC) patients with endoscopically confirmed disease activity, MSOT total haemoglobin (HbT) signals were increased in the terminal ileum of CD (72.1 ± 13.0 a.u. vs. 32.9 ± 15.4 a.u., p = 0.0049) and in the sigmoid colon of UC patients (62.9 ± 13.8 a.u. vs. 35.1 ± 16.3 a.u., p = 0.0311) as compared to controls, respectively. Furthermore, MSOT haemoglobin parameters correlated well with standard disease activity assessment (e.g. SES-CD and MSOT HbT (rs =0.69, p = 0.0075). Summarizing, MSOT is a novel technology for non-invasive molecular disease activity assessment in paediatric patients with inflammatory bowel disease.
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Affiliation(s)
- Adrian P. Regensburger
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Paediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Paediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Markus Eckstein
- Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Wetzl
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Roman Raming
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Paediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Paediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Lars-Philip Paulus
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Paediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Paediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Adrian Buehler
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Paediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Paediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Emmanuel Nedoschill
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Paediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Paediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Vera Danko
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Paediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Paediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Jörg Jüngert
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Alexandra L. Wagner
- Paediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Paediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Alexander Schnell
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Aline Rückel
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Ulrich Rother
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Oliver Rompel
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Arndt Hartmann
- Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Markus F. Neurath
- Department of Medicine 1 and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Joachim Woelfle
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Maximilian J. Waldner
- Department of Medicine 1 and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - André Hoerning
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Paediatrics and Adolescent Medicine and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Paediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Paediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
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14
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Yue L, Huang H, Li G, Chen Z, Lin W. Strategy for Fluorescence/Photoacoustic Signal Maximization Using Dual-Wavelength-Independent Excitation. Anal Chem 2023; 95:18029-18038. [PMID: 38019809 DOI: 10.1021/acs.analchem.3c02372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
Dual-mode imaging of fluorescence-photoacoustics has emerged as a promising technique for biomedical applications. However, conventional dual-mode imaging is based on single-wavelength excitation, which often results in opposing fluorescence and photoacoustic signals due to competing photophysical processes in one agent, rendering the maximization of both signals infeasible. To meet this challenge, we herein propose a new strategy by using the dual-excitation approach, where one excitation wavelength generates a fluorescence signal and the other produces a photoacoustic signal, thus achieving simultaneous maximization of both signals in one fluorescence-photoacoustic molecule. Based on this strategy, three dye molecules were employed for comparison, and it was surprising to find that QHD dye with two types of excitation wavelengths could generate fluorescence and photoacoustic signals, respectively. Furthermore, this strategy was successfully implemented in dual-mode imaging of rheumatoid arthritis mice. Importantly, this study emphasizes a new design guideline for the maximization of fluorescence-photoacoustic signals by using dual-wavelength-independent excitation.
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Affiliation(s)
- Lizhou Yue
- Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, Guangxi, P. R. China
| | - Huawei Huang
- Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, Guangxi, P. R. China
| | - Guofang Li
- Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, Guangxi, P. R. China
| | - Zehua Chen
- Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, Guangxi, P. R. China
| | - Weiying Lin
- Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, Guangxi, P. R. China
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15
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Karlas A, Katsouli N, Fasoula NA, Bariotakis M, Chlis NK, Omar M, He H, Iakovakis D, Schäffer C, Kallmayer M, Füchtenbusch M, Ziegler A, Eckstein HH, Hadjileontiadis L, Ntziachristos V. Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage. Nat Biomed Eng 2023; 7:1667-1682. [PMID: 38049470 PMCID: PMC10727986 DOI: 10.1038/s41551-023-01151-w] [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: 04/19/2022] [Accepted: 10/24/2023] [Indexed: 12/06/2023]
Abstract
Skin microangiopathy has been associated with diabetes. Here we show that skin-microangiopathy phenotypes in humans can be correlated with diabetes stage via morphophysiological cutaneous features extracted from raster-scan optoacoustic mesoscopy (RSOM) images of skin on the leg. We obtained 199 RSOM images from 115 participants (40 healthy and 75 with diabetes), and used machine learning to segment skin layers and microvasculature to identify clinically explainable features pertaining to different depths and scales of detail that provided the highest predictive power. Features in the dermal layer at the scale of detail of 0.1-1 mm (such as the number of junction-to-junction branches) were highly sensitive to diabetes stage. A 'microangiopathy score' compiling the 32 most-relevant features predicted the presence of diabetes with an area under the receiver operating characteristic curve of 0.84. The analysis of morphophysiological cutaneous features via RSOM may allow for the discovery of diabetes biomarkers in the skin and for the monitoring of diabetes status.
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Affiliation(s)
- Angelos Karlas
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Nikoletta Katsouli
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Nikolina-Alexia Fasoula
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Michail Bariotakis
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Nikolaos-Kosmas Chlis
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Murad Omar
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Hailong He
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Dimitrios Iakovakis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Christoph Schäffer
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Michael Kallmayer
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | | | - Annette Ziegler
- Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Leontios Hadjileontiadis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany.
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16
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Perkov S, Makhortov M, Grishin O, Perevoschikov S, Prikhozhdenko ES, Bratashov D, Gorin D. Optoacoustic monitoring of bilirubin photodegradation. JOURNAL OF BIOPHOTONICS 2023; 16:e202200339. [PMID: 37345342 DOI: 10.1002/jbio.202200339] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 05/14/2023] [Accepted: 06/02/2023] [Indexed: 06/23/2023]
Abstract
Hematomas resulted from trauma are very common, and the efficacy of existing treatment techniques is limited. Phototherapy can be used to expedite healing and improve the appearance of the damaged tissue. Efficient phototherapy requires determination of chromophore composition in hematoma, which can be provided by the optoacoustic (OA) technique, as it combines high spatial resolution and optical contrast. Here, we conducted experiments on photodegradation of bilirubin in gelatin slin phantoms. We have demonstrated that the OA technique allows monitoring of bilirubin concentration during photodegradation, and also distinguishing bilirubin concentration in depth. The obtained results suggest that OA monitoring may be used for efficient hematoma phototherapy.
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Affiliation(s)
- Sergei Perkov
- Photonics Center, Skolkovo Institute of Science and Technology, Moscow, Russia
| | | | - Oleg Grishin
- Science Medical Center, Saratov State University, Saratov, Russia
| | | | | | - Daniil Bratashov
- Science Medical Center, Saratov State University, Saratov, Russia
| | - Dmitry Gorin
- Photonics Center, Skolkovo Institute of Science and Technology, Moscow, Russia
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17
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Juhong A, Li B, Liu Y, Yao CY, Yang CW, Agnew DW, Lei YL, Luker GD, Bumpers H, Huang X, Piyawattanametha W, Qiu Z. Recurrent and convolutional neural networks for sequential multispectral optoacoustic tomography (MSOT) imaging. JOURNAL OF BIOPHOTONICS 2023; 16:e202300142. [PMID: 37382181 DOI: 10.1002/jbio.202300142] [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: 04/25/2023] [Revised: 06/14/2023] [Accepted: 06/23/2023] [Indexed: 06/30/2023]
Abstract
Multispectral optoacoustic tomography (MSOT) is a beneficial technique for diagnosing and analyzing biological samples since it provides meticulous details in anatomy and physiology. However, acquiring high through-plane resolution volumetric MSOT is time-consuming. Here, we propose a deep learning model based on hybrid recurrent and convolutional neural networks to generate sequential cross-sectional images for an MSOT system. This system provides three modalities (MSOT, ultrasound, and optoacoustic imaging of a specific exogenous contrast agent) in a single scan. This study used ICG-conjugated nanoworms particles (NWs-ICG) as the contrast agent. Instead of acquiring seven images with a step size of 0.1 mm, we can receive two images with a step size of 0.6 mm as input for the proposed deep learning model. The deep learning model can generate five other images with a step size of 0.1 mm between these two input images meaning we can reduce acquisition time by approximately 71%.
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Affiliation(s)
- Aniwat Juhong
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
| | - Bo Li
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
| | - Yifan Liu
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
| | - Cheng-You Yao
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Biomedical Engineering, Michigan State University, East Lansing, Michigan, USA
| | - Chia-Wei Yang
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Chemistry, Michigan State University, East Lansing, Michigan, USA
| | - Dalen W Agnew
- Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA
| | - Yu Leo Lei
- Department of Periodontics and Oral Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Gary D Luker
- Department of Radiology, Microbiology and Immunology, and Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Harvey Bumpers
- Department of Surgery, Michigan State University, East Lansing, Michigan, USA
| | - Xuefei Huang
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Biomedical Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Chemistry, Michigan State University, East Lansing, Michigan, USA
| | - Wibool Piyawattanametha
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Biomedical Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand
| | - Zhen Qiu
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Biomedical Engineering, Michigan State University, East Lansing, Michigan, USA
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18
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Tanniche I, Behkam B. Engineered live bacteria as disease detection and diagnosis tools. J Biol Eng 2023; 17:65. [PMID: 37875910 PMCID: PMC10598922 DOI: 10.1186/s13036-023-00379-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 09/18/2023] [Indexed: 10/26/2023] Open
Abstract
Sensitive and minimally invasive medical diagnostics are essential to the early detection of diseases, monitoring their progression and response to treatment. Engineered bacteria as live sensors are being developed as a new class of biosensors for sensitive, robust, noninvasive, and in situ detection of disease onset at low cost. Akin to microrobotic systems, a combination of simple genetic rules, basic logic gates, and complex synthetic bioengineering principles are used to program bacterial vectors as living machines for detecting biomarkers of diseases, some of which cannot be detected with other sensing technologies. Bacterial whole-cell biosensors (BWCBs) can have wide-ranging functions from detection only, to detection and recording, to closed-loop detection-regulated treatment. In this review article, we first summarize the unique benefits of bacteria as living sensors. We then describe the different bacteria-based diagnosis approaches and provide examples of diagnosing various diseases and disorders. We also discuss the use of bacteria as imaging vectors for disease detection and image-guided surgery. We conclude by highlighting current challenges and opportunities for further exploration toward clinical translation of these bacteria-based systems.
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Affiliation(s)
- Imen Tanniche
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Bahareh Behkam
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
- School of Biomedical Engineered and Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
- Center for Engineered Health, Institute for Critical Technology and Applied Science, Virginia Tech, Blacksburg, VA, 24061, USA.
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19
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Hernandez Pichardo A, Littlewood J, Taylor A, Wilm B, Lévy R, Murray P. Multispectral optoacoustic tomography is more sensitive than micro-computed tomography for tracking gold nanorod labelled mesenchymal stromal cells. JOURNAL OF BIOPHOTONICS 2023; 16:e202300109. [PMID: 37431566 DOI: 10.1002/jbio.202300109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/28/2023] [Accepted: 06/30/2023] [Indexed: 07/12/2023]
Abstract
Tracking the fate of therapeutic cell types is important for assessing their safety and efficacy. Bioluminescence imaging (BLI) is an effective cell tracking technique, but poor spatial resolution means it has limited ability to precisely map cells in vivo in 3D. This can be overcome by using a bimodal imaging approach that combines BLI with a technique capable of generating high-resolution images. Here we compared the effectiveness of combining either multispectral optoacoustic tomography (MSOT) or micro-computed tomography (micro-CT) with BLI for tracking the fate of luciferase+ human mesenchymal stromal cells (MSCs) labelled with gold nanorods. Following subcutaneous administration in mice, the MSCs could be readily detected with MSOT but not with micro-CT. We conclude that MSOT is more sensitive than micro-CT for tracking gold nanorod-labelled cells in vivo and depending on the route of administration, can be used effectively with BLI to track MSC fate in mice.
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Affiliation(s)
- Alejandra Hernandez Pichardo
- Department of Molecular Physiology and Cell Signalling, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Centre for Pre-clinical Imaging, University of Liverpool, Liverpool, UK
| | - James Littlewood
- Department of Molecular Physiology and Cell Signalling, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- iThera Medical GmbH, Munich, Germany
| | - Arthur Taylor
- Department of Molecular Physiology and Cell Signalling, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Centre for Pre-clinical Imaging, University of Liverpool, Liverpool, UK
| | - Bettina Wilm
- Department of Molecular Physiology and Cell Signalling, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Centre for Pre-clinical Imaging, University of Liverpool, Liverpool, UK
| | - Raphaël Lévy
- Université Sorbonne Paris Nord and Université de Paris, INSERM, LVTS, Paris, France
| | - Patricia Murray
- Department of Molecular Physiology and Cell Signalling, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Centre for Pre-clinical Imaging, University of Liverpool, Liverpool, UK
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20
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Becker C, Hardarson J, Hoelzer A, Geisler A, Schulz T, Reichl C, Burton NC, Schuler T, Kohl P, Zgierski-Johnston C. Evaluation of cervical lymph nodes using multispectral optoacoustic tomography: a proof-of-concept study. Eur Arch Otorhinolaryngol 2023; 280:4657-4664. [PMID: 37354339 PMCID: PMC10477228 DOI: 10.1007/s00405-023-08073-y] [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: 01/23/2023] [Accepted: 06/14/2023] [Indexed: 06/26/2023]
Abstract
OBJECTIVES Examination of lymph nodes is one of the most common indications for imaging in the head and neck region. The purpose of this study is to evaluate whether multispectral optoacoustic tomography can be used to observe chromophore differences between benign and malignant neck lymph nodes. MATERIALS AND METHODS Proof-of-concept ex vivo study of resected cervical lymph nodes from 11 patients. The examination of lymph nodes included imaging with hybrid ultrasound and multispectral tomography system followed by spectral unmixing to separate signals from the endogenous chromophores water, lipid, hemoglobin and oxygenated hemoglobin; calculation of semi-quantitative parameters (total hemoglobin and relative oxygenation of hemoglobin). Comparison of the results from the hybrid measurement with the histopathological results. RESULTS Most patients suffered from squamous cell carcinoma (n = 7), also metastasis from salivary gland adenocarcinoma and papillary thyroid carcinoma, were included. The comparison between benign cervical lymph nodes and metastases showed significant differences for the absorbers water, lipid, hemoglobin and oxygenated hemoglobin and total hemoglobin. CONCLUSIONS Our ex vivo study suggests that multispectral optoacoustic tomography can be used to detect differences between reactive lymph nodes and metastases. The measurement of endogenous chromophores can be used for this purpose. The examinations are non-invasively and thus potentially improve diagnostic prediction. However, potential influences from the ex vivo setting must be considered.
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Affiliation(s)
- Christoph Becker
- Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Centre Freiburg, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
| | - Johannes Hardarson
- Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Centre Freiburg, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany
| | - Andrea Hoelzer
- Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Centre Freiburg, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany
| | - Antje Geisler
- Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Centre Freiburg, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany
| | - Tobias Schulz
- Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Centre Freiburg, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany
| | | | | | - Tobias Schuler
- Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg-Bad Krozingen, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Peter Kohl
- Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg-Bad Krozingen, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Callum Zgierski-Johnston
- Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg-Bad Krozingen, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
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21
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Ergen PH, Shorter S, Ntziachristos V, Ovsepian SV. Neurotoxin-Derived Optical Probes for Biological and Medical Imaging. Mol Imaging Biol 2023; 25:799-814. [PMID: 37468801 PMCID: PMC10598172 DOI: 10.1007/s11307-023-01838-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/21/2023]
Abstract
The superb specificity and potency of biological toxins targeting various ion channels and receptors are of major interest for the delivery of therapeutics to distinct cell types and subcellular compartments. Fused with reporter proteins or labelled with fluorophores and nanocomposites, animal toxins and their detoxified variants also offer expanding opportunities for visualisation of a range of molecular processes and functions in preclinical models, as well as clinical studies. This article presents state-of-the-art optical probes derived from neurotoxins targeting ion channels, with discussions of their applications in basic and translational biomedical research. It describes the design and production of probes and reviews their applications with advantages and limitations, with prospects for future improvements. Given the advances in imaging tools and expanding research areas benefiting from the use of optical probes, described here resources should assist the discovery process and facilitate high-precision interrogation and therapeutic interventions.
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Affiliation(s)
- Pinar Helin Ergen
- Faculty of Engineering and Science, University of Greenwich London, Chatham Maritime, Kent, ME4 4TB, United Kingdom
| | - Susan Shorter
- Faculty of Engineering and Science, University of Greenwich London, Chatham Maritime, Kent, ME4 4TB, United Kingdom
| | - Vasilis Ntziachristos
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), 85764, Neuherberg, Germany
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, 80992, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Saak Victor Ovsepian
- Faculty of Engineering and Science, University of Greenwich London, Chatham Maritime, Kent, ME4 4TB, United Kingdom.
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22
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Epp R, Glück C, Binder NF, El Amki M, Weber B, Wegener S, Jenny P, Schmid F. The role of leptomeningeal collaterals in redistributing blood flow during stroke. PLoS Comput Biol 2023; 19:e1011496. [PMID: 37871109 PMCID: PMC10621965 DOI: 10.1371/journal.pcbi.1011496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 11/02/2023] [Accepted: 09/03/2023] [Indexed: 10/25/2023] Open
Abstract
Leptomeningeal collaterals (LMCs) connect the main cerebral arteries and provide alternative pathways for blood flow during ischaemic stroke. This is beneficial for reducing infarct size and reperfusion success after treatment. However, a better understanding of how LMCs affect blood flow distribution is indispensable to improve therapeutic strategies. Here, we present a novel in silico approach that incorporates case-specific in vivo data into a computational model to simulate blood flow in large semi-realistic microvascular networks from two different mouse strains, characterised by having many and almost no LMCs between middle and anterior cerebral artery (MCA, ACA) territories. This framework is unique because our simulations are directly aligned with in vivo data. Moreover, it allows us to analyse perfusion characteristics quantitatively across all vessel types and for networks with no, few and many LMCs. We show that the occlusion of the MCA directly caused a redistribution of blood that was characterised by increased flow in LMCs. Interestingly, the improved perfusion of MCA-sided microvessels after dilating LMCs came at the cost of a reduced blood supply in other brain areas. This effect was enhanced in regions close to the watershed line and when the number of LMCs was increased. Additional dilations of surface and penetrating arteries after stroke improved perfusion across the entire vasculature and partially recovered flow in the obstructed region, especially in networks with many LMCs, which further underlines the role of LMCs during stroke.
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Affiliation(s)
- Robert Epp
- Institute of Fluid Dynamics, ETH Zurich, Zurich, Switzerland
| | - Chaim Glück
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Nadine Felizitas Binder
- Deptartment of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Mohamad El Amki
- Deptartment of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bruno Weber
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Susanne Wegener
- Deptartment of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Patrick Jenny
- Institute of Fluid Dynamics, ETH Zurich, Zurich, Switzerland
| | - Franca Schmid
- Institute of Fluid Dynamics, ETH Zurich, Zurich, Switzerland
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
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23
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Minopoulou I, Kleyer A, Yalcin-Mutlu M, Fagni F, Kemenes S, Schmidkonz C, Atzinger A, Pachowsky M, Engel K, Folle L, Roemer F, Waldner M, D'Agostino MA, Schett G, Simon D. Imaging in inflammatory arthritis: progress towards precision medicine. Nat Rev Rheumatol 2023; 19:650-665. [PMID: 37684361 DOI: 10.1038/s41584-023-01016-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/31/2023] [Indexed: 09/10/2023]
Abstract
Imaging techniques such as ultrasonography and MRI have gained ground in the diagnosis and management of inflammatory arthritis, as these imaging modalities allow a sensitive assessment of musculoskeletal inflammation and damage. However, these techniques cannot discriminate between disease subsets and are currently unable to deliver an accurate prediction of disease progression and therapeutic response in individual patients. This major shortcoming of today's technology hinders a targeted and personalized patient management approach. Technological advances in the areas of high-resolution imaging (for example, high-resolution peripheral quantitative computed tomography and ultra-high field MRI), functional and molecular-based imaging (such as chemical exchange saturation transfer MRI, positron emission tomography, fluorescence optical imaging, optoacoustic imaging and contrast-enhanced ultrasonography) and artificial intelligence-based data analysis could help to tackle these challenges. These new imaging approaches offer detailed anatomical delineation and an in vivo and non-invasive evaluation of the immunometabolic status of inflammatory reactions, thereby facilitating an in-depth characterization of inflammation. By means of these developments, the aim of earlier diagnosis, enhanced monitoring and, ultimately, a personalized treatment strategy looms closer.
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Affiliation(s)
- Ioanna Minopoulou
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Arnd Kleyer
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Melek Yalcin-Mutlu
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Filippo Fagni
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Stefan Kemenes
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Christian Schmidkonz
- Department of Nuclear Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Institute for Medical Engineering, University of Applied Sciences Amberg-Weiden, Weiden, Germany
| | - Armin Atzinger
- Department of Nuclear Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Milena Pachowsky
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | | | - Lukas Folle
- Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Frank Roemer
- Institute of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Maximilian Waldner
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Department of Internal Medicine 1, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Maria-Antonietta D'Agostino
- Division of Rheumatology, Catholic University of the Sacred Heart, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Université Paris-Saclay, UVSQ, Inserm U1173, Infection et Inflammation, Laboratory of Excellence Inflamex, Montigny-Le-Bretonneux, France
| | - Georg Schett
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - David Simon
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
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24
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Qiu T, Yang J, Peng C, Xiang H, Huang L, Ling W, Luo Y. Diagnosis of liver fibrosis and liver function reserve through non-invasive multispectral photoacoustic imaging. PHOTOACOUSTICS 2023; 33:100562. [PMID: 38021289 PMCID: PMC10658630 DOI: 10.1016/j.pacs.2023.100562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 09/21/2023] [Accepted: 09/25/2023] [Indexed: 10/13/2023]
Abstract
Liver function reserve (LFR) is the sum of remnant functional hepatic cells after liver injury. In the pathologic process of liver fibrosis (LF), LFR is impaired. LFR assessment can help determine the safe scope of liver resection or drug regimen and predict prognosis of patients with liver disease. Here, we used a photoacoustic imaging (PAI) system to assess LF and LFR in rabbit models. We performed PAI, ultrasound elastography and biopsy for 21 rabbits developing none (n = 6) and LF (n = 15). In vivo indocyanine green (ICG) measurements by PAI showed that LF group presented a significantly attenuated ICG clearance compared to control group, indicating LFR impairment of LF. Another finding was a significantly higher collagen photoacoustic signal intensity value was observed in LF both in vivo and in vitro. Our findings demonstrated that PAI was potentially effective to evaluate LFR and collagen accumulation of LF.
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Affiliation(s)
- Tingting Qiu
- Department of Ultrasound, West China Hospital, Sichuan University, 37 Guoxue Alley, Wuhou District, Chengdu 610041, China
| | - Jinge Yang
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
| | - Chihan Peng
- Department of Ultrasound, West China Hospital, Sichuan University, 37 Guoxue Alley, Wuhou District, Chengdu 610041, China
| | - Hongjin Xiang
- Department of Ultrasound, West China Hospital, Sichuan University, 37 Guoxue Alley, Wuhou District, Chengdu 610041, China
| | - Lin Huang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone District, Chengdu 611731, China
| | - Wenwu Ling
- Department of Ultrasound, West China Hospital, Sichuan University, 37 Guoxue Alley, Wuhou District, Chengdu 610041, China
| | - Yan Luo
- Department of Ultrasound, West China Hospital, Sichuan University, 37 Guoxue Alley, Wuhou District, Chengdu 610041, China
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25
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Fasoula NA, Xie Y, Katsouli N, Reidl M, Kallmayer MA, Eckstein HH, Ntziachristos V, Hadjileontiadis L, Avgerinos DV, Briasoulis A, Siasos G, Hosseini K, Doulamis I, Kampaktsis PN, Karlas A. Clinical and Translational Imaging and Sensing of Diabetic Microangiopathy: A Narrative Review. J Cardiovasc Dev Dis 2023; 10:383. [PMID: 37754812 PMCID: PMC10531807 DOI: 10.3390/jcdd10090383] [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: 05/31/2023] [Revised: 08/21/2023] [Accepted: 08/25/2023] [Indexed: 09/28/2023] Open
Abstract
Microvascular changes in diabetes affect the function of several critical organs, such as the kidneys, heart, brain, eye, and skin, among others. The possibility of detecting such changes early enough in order to take appropriate actions renders the development of appropriate tools and techniques an imperative need. To this end, several sensing and imaging techniques have been developed or employed in the assessment of microangiopathy in patients with diabetes. Herein, we present such techniques; we provide insights into their principles of operation while discussing the characteristics that make them appropriate for such use. Finally, apart from already established techniques, we present novel ones with great translational potential, such as optoacoustic technologies, which are expected to enter clinical practice in the foreseeable future.
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Affiliation(s)
- Nikolina-Alexia Fasoula
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Yi Xie
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Nikoletta Katsouli
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Mario Reidl
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Michael A. Kallmayer
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany; (M.A.K.); (H.-H.E.)
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany; (M.A.K.); (H.-H.E.)
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80336 Munich, Germany
| | - Leontios Hadjileontiadis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates;
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | | | - Alexandros Briasoulis
- Aleksandra Hospital, National and Kapodistrian University of Athens Medical School, 11527 Athens, Greece;
| | - Gerasimos Siasos
- Sotiria Hospital, National and Kapodistrian University of Athens Medical School, 11527 Athens, Greece;
| | - Kaveh Hosseini
- Cardiac Primary Prevention Research Center, Cardiovascular Disease Research Institute, Tehran University of Medical Sciences, Tehran 1411713138, Iran;
| | - Ilias Doulamis
- Department of Surgery, The Johns Hopkins Hospital, School of Medicine, Baltimore, MD 21287, USA;
| | | | - Angelos Karlas
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany; (M.A.K.); (H.-H.E.)
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80336 Munich, Germany
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26
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Nagli M, Moisseev R, Suleymanov N, Kaminski E, Hazan Y, Gelbert G, Goykhman I, Rosenthal A. Silicon photonic acoustic detector (SPADE) using a silicon nitride microring resonator. PHOTOACOUSTICS 2023; 32:100527. [PMID: 37645254 PMCID: PMC10461202 DOI: 10.1016/j.pacs.2023.100527] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/14/2023] [Accepted: 06/30/2023] [Indexed: 08/31/2023]
Abstract
Silicon photonics is an emerging platform for acoustic sensing, offering exceptional miniaturization and sensitivity. While efforts have focused on silicon-based resonators, silicon nitride resonators can potentially achieve higher Q-factors, further enhancing sensitivity. In this work, a 30 µm silicon nitride microring resonator was fabricated and coated with an elastomer to optimize acoustic sensitivity and signal fidelity. The resonator was characterized acoustically, and its capability for optoacoustic tomography was demonstrated. An acoustic bandwidth of 120 MHz and a noise-equivalent pressure of ∼ 7 mPa/Hz1/2 were demonstrated. The spatially dependent impulse response agreed with theoretical predictions, and spurious acoustic signals, such as reverberations and surface acoustic waves, had a marginal impact. High image fidelity optoacoustic tomography of a 20 µm knot was achieved, confirming the detector's imaging capabilities. The results show that silicon nitride offers low signal distortion and high-resolution optoacoustic imaging, proving its versatility for acoustic imaging applications.
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Affiliation(s)
- Michael Nagli
- Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion – Israel Institute of Technology, Technion City 32000, Haifa, Israel
| | - Ron Moisseev
- Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion – Israel Institute of Technology, Technion City 32000, Haifa, Israel
| | - Nathan Suleymanov
- Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion – Israel Institute of Technology, Technion City 32000, Haifa, Israel
| | - Eitan Kaminski
- Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion – Israel Institute of Technology, Technion City 32000, Haifa, Israel
| | - Yoav Hazan
- Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion – Israel Institute of Technology, Technion City 32000, Haifa, Israel
| | - Gil Gelbert
- Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion – Israel Institute of Technology, Technion City 32000, Haifa, Israel
| | - Ilya Goykhman
- Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion – Israel Institute of Technology, Technion City 32000, Haifa, Israel
| | - Amir Rosenthal
- Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion – Israel Institute of Technology, Technion City 32000, Haifa, Israel
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27
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Tang K, Zhang S, Wang Y, Zhang X, Liu Z, Liang Z, Wang H, Chen L, Chen W, Qi L. Learning spatially variant degradation for unsupervised blind photoacoustic tomography image restoration. PHOTOACOUSTICS 2023; 32:100536. [PMID: 37575971 PMCID: PMC10413197 DOI: 10.1016/j.pacs.2023.100536] [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: 05/05/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 08/15/2023]
Abstract
Photoacoustic tomography (PAT) images contain inherent distortions due to the imaging system and heterogeneous tissue properties. Improving image quality requires the removal of these system distortions. While model-based approaches and data-driven techniques have been proposed for PAT image restoration, achieving accurate and robust image recovery remains challenging. Recently, deep-learning-based image deconvolution approaches have shown promise for image recovery. However, PAT imaging presents unique challenges, including spatially varying resolution and the absence of ground truth data. Consequently, there is a pressing need for a novel learning strategy specifically tailored for PAT imaging. Herein, we propose a configurable network model named Deep hybrid Image-PSF Prior (DIPP) that builds upon the physical image degradation model of PAT. DIPP is an unsupervised and deeply learned network model that aims to extract the ideal PAT image from complex system degradation. Our DIPP framework captures the degraded information solely from the acquired PAT image, without relying on ground truth or labeled data for network training. Additionally, we can incorporate the experimentally measured Point Spread Functions (PSFs) of the specific PAT system as a reference to further enhance performance. To evaluate the algorithm's effectiveness in addressing multiple degradations in PAT, we conduct extensive experiments using simulation images, publicly available datasets, phantom images, and in vivo small animal imaging data. Comparative analyses with classical analytical methods and state-of-the-art deep learning models demonstrate that our DIPP approach achieves significantly improved restoration results in terms of image details and contrast.
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Affiliation(s)
- Kaiyi Tang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Shuangyang Zhang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Yang Wang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaoming Zhang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhenyang Liu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhichao Liang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Huafeng Wang
- Research Center of Narrative Medicine, Shunde Hospital, Southern Medical University, Foshan, Guangdong, China
| | - Lingjian Chen
- Research Center of Narrative Medicine, Shunde Hospital, Southern Medical University, Foshan, Guangdong, China
| | - Wufan Chen
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Li Qi
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
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28
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Paulus L, Buehler A, Wagner AL, Raming R, Jüngert J, Simon D, Tascilar K, Schnell A, Rother U, Eckstein M, Lang W, Hoerning A, Schett G, Neurath MF, Waldner MJ, Trollmann R, Woelfle J, Bohndiek SE, Regensburger AP, Knieling F. Contrast-Enhanced Multispectral Optoacoustic Tomography for Functional Assessment of the Gastrointestinal Tract. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2302562. [PMID: 37289088 PMCID: PMC10427354 DOI: 10.1002/advs.202302562] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Indexed: 06/09/2023]
Abstract
Real-time imaging and functional assessment of the intestinal tract and its transit pose a significant challenge to conventional clinical diagnostic methods. Multispectral optoacoustic tomography (MSOT), a molecular-sensitive imaging technology, offers the potential to visualize endogenous and exogenous chromophores in deep tissue. Herein, a novel approach using the orally administered clinical-approved fluorescent dye indocyanine green (ICG) for bedside, non-ionizing evaluation of gastrointestinal passage is presented. The authors are able to show the detectability and stability of ICG in phantom experiments. Furthermore, ten healthy subjects underwent MSOT imaging at multiple time points over eight hours after ingestion of a standardized meal with and without ICG. ICG signals can be visualized and quantified in different intestinal segments, while its excretion is confirmed by fluorescent imaging of stool samples. These findings indicate that contrast-enhanced MSOT (CE-MSOT) provides a translatable real-time imaging approach for functional assessment of the gastrointestinal tract.
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Affiliation(s)
- Lars‐Philip Paulus
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- Pediatric Experimental and Translational Imaging Laboratory (PETI‐Lab)Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Adrian Buehler
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- Pediatric Experimental and Translational Imaging Laboratory (PETI‐Lab)Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Alexandra L. Wagner
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- Pediatric Experimental and Translational Imaging Laboratory (PETI‐Lab)Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- Department of Pediatric Neurology, Center for Chronically Sick ChildrenCharité BerlinBerlinGermany
| | - Roman Raming
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- Pediatric Experimental and Translational Imaging Laboratory (PETI‐Lab)Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Jörg Jüngert
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - David Simon
- Department of Medicine 3, University Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Koray Tascilar
- Department of Medicine 3, University Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Alexander Schnell
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Ulrich Rother
- Department of Vascular SurgeryUniversity Hospital ErlangenFriedrich‐Alexander Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Markus Eckstein
- Insitute of PathologyUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Werner Lang
- Department of Vascular SurgeryUniversity Hospital ErlangenFriedrich‐Alexander Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - André Hoerning
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Georg Schett
- Department of Medicine 3, University Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- German Center Immunotherapy (DZI)University Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Markus F. Neurath
- German Center Immunotherapy (DZI)University Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- Department of Medicine 1University Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Maximilian J. Waldner
- German Center Immunotherapy (DZI)University Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- Department of Medicine 1University Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Regina Trollmann
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Joachim Woelfle
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Sarah E Bohndiek
- Department of PhysicsUniversity of CambridgeCambridgeCB3 0HEUK
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeCB2 0REUK
| | - Adrian P. Regensburger
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- Pediatric Experimental and Translational Imaging Laboratory (PETI‐Lab)Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
- Pediatric Experimental and Translational Imaging Laboratory (PETI‐Lab)Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenFriedrich‐Alexander‐Universität (FAU) Erlangen‐Nürnberg91054ErlangenGermany
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29
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Gilad H, Barhum H, Ushkov A, Machnev A, Ofer D, Bobrovs V, Ginzburg P. Gilded vaterite optothermal transport in a bubble. Sci Rep 2023; 13:12158. [PMID: 37500742 PMCID: PMC10374586 DOI: 10.1038/s41598-023-39068-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/19/2023] [Indexed: 07/29/2023] Open
Abstract
Laser beams, capable of controlling the mechanical motion of micron-scale objects, can serve as a tool, enabling investigations of numerous interaction scenarios under full control. Beyond pure electromagnetic interactions, giving rise to conventional gradient forces and radiation pressure, environment-induced thermal effects can play a role and, in certain cases, govern the dynamics. Here we explore a thermocapillary Marangoni effect, which is responsible for creating long-range few hundreds of nano-Newton forces, acting on a bubble around a 'gilded vaterite' nanoparticle. Decorating calcium carbonate spherulite (the vaterite) with gold nanoseeds allows tuning its optical absorption and, as a result, controlling its temperature in a solution. We demonstrate that keeping a balance between electromagnetic and thermal interactions allows creating of a stable micron-scale bubble around the particle and maintaining its size over time. The bubbles are shown to remain stable over minutes even after the light source is switched off. The bubbles were shown to swim toward a laser focus for over 400-µm distances across the sample. Optothermal effects, allowing for efficient transport, stable bubble creation, and particle-fluid interaction control, can grant nano-engineered drug delivery capsules with additional functions toward a theragnostic paradigm shift.
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Affiliation(s)
- Hod Gilad
- Department of Electrical Engineering, Tel Aviv University, 69978, Ramat Aviv, Tel Aviv, Israel.
- Light-Matter Interaction Centre, Tel Aviv University, 69978, Tel Aviv, Israel.
| | - Hani Barhum
- Department of Electrical Engineering, Tel Aviv University, 69978, Ramat Aviv, Tel Aviv, Israel
- Light-Matter Interaction Centre, Tel Aviv University, 69978, Tel Aviv, Israel
- Triangle Regional Research and Development Center, 3007500, Kfar Qara, Israel
| | - Andrey Ushkov
- Department of Electrical Engineering, Tel Aviv University, 69978, Ramat Aviv, Tel Aviv, Israel
- Light-Matter Interaction Centre, Tel Aviv University, 69978, Tel Aviv, Israel
| | - Andrey Machnev
- Department of Electrical Engineering, Tel Aviv University, 69978, Ramat Aviv, Tel Aviv, Israel
- Light-Matter Interaction Centre, Tel Aviv University, 69978, Tel Aviv, Israel
| | - Daniel Ofer
- Department of Electrical Engineering, Tel Aviv University, 69978, Ramat Aviv, Tel Aviv, Israel
- Light-Matter Interaction Centre, Tel Aviv University, 69978, Tel Aviv, Israel
| | - Vjačeslavs Bobrovs
- Institute of Telecommunications, Riga Technical University, Azenes Street 12, Riga, 1048, Latvia
| | - Pavel Ginzburg
- Department of Electrical Engineering, Tel Aviv University, 69978, Ramat Aviv, Tel Aviv, Israel
- Light-Matter Interaction Centre, Tel Aviv University, 69978, Tel Aviv, Israel
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30
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Wu Y, Sun L, Chen X, Liu J, Ouyang J, Zhang X, Guo Y, Chen Y, Yuan W, Wang D, He T, Zeng F, Chen H, Wu S, Zhao Y. Cucurbit[8]uril-based water-dispersible assemblies with enhanced optoacoustic performance for multispectral optoacoustic imaging. Nat Commun 2023; 14:3918. [PMID: 37400468 DOI: 10.1038/s41467-023-39610-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 06/22/2023] [Indexed: 07/05/2023] Open
Abstract
Organic small-molecule contrast agents have attracted considerable attention in the field of multispectral optoacoustic imaging, but their weak optoacoustic performance resulted from relatively low extinction coefficient and poor water solubility restrains their widespread applications. Herein, we address these limitations by constructing supramolecular assemblies based on cucurbit[8]uril (CB[8]). Two dixanthene-based chromophores (DXP and DXBTZ) are synthesized as the model guest compounds, and then included in CB[8] to prepare host-guest complexes. The obtained DXP-CB[8] and DXBTZ-CB[8] display red-shifted and increased absorption as well as decreased fluorescence, thereby leading to a substantial enhancement in optoacoustic performance. Biological application potential of DXBTZ-CB[8] is investigated after co-assembly with chondroitin sulfate A (CSA). Benefiting from the excellent optoacoustic property of DXBTZ-CB[8] and the CD44-targeting feature of CSA, the formulated DXBTZ-CB[8]/CSA can effectively detect and diagnose subcutaneous tumors, orthotopic bladder tumors, lymphatic metastasis of tumors and ischemia/reperfusion-induced acute kidney injury in mouse models with multispectral optoacoustic imaging.
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Affiliation(s)
- Yinglong Wu
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Lihe Sun
- Biomedical Division, State Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, College of Materials Science and Engineering, South China University of Technology, Wushan Road 381, 510640, Guangzhou, China
| | - Xiaokai Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Jiawei Liu
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Juan Ouyang
- Biomedical Division, State Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, College of Materials Science and Engineering, South China University of Technology, Wushan Road 381, 510640, Guangzhou, China
| | - Xiaodong Zhang
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Yi Guo
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Yun Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Wei Yuan
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Dongdong Wang
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Ting He
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Fang Zeng
- Biomedical Division, State Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, College of Materials Science and Engineering, South China University of Technology, Wushan Road 381, 510640, Guangzhou, China
| | - Hongzhong Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore.
- Institute of Pharmaceutics, School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, 518107, Shenzhen, China.
| | - Shuizhu Wu
- Biomedical Division, State Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, College of Materials Science and Engineering, South China University of Technology, Wushan Road 381, 510640, Guangzhou, China.
| | - Yanli Zhao
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore.
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Zhang S, Liang Z, Tang K, Li X, Zhang X, Mo Z, Wu J, Huang S, Liu J, Zhuang Z, Qi L, Chen W. In vivo co-registered hybrid-contrast imaging by successive photoacoustic tomography and magnetic resonance imaging. PHOTOACOUSTICS 2023; 31:100506. [PMID: 37397508 PMCID: PMC10313508 DOI: 10.1016/j.pacs.2023.100506] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 04/15/2023] [Accepted: 05/06/2023] [Indexed: 07/04/2023]
Abstract
Magnetic resonance imaging (MRI) and photoacoustic tomography (PAT) offer two distinct image contrasts. To integrate these two modalities, we present a comprehensive hardware-software solution for the successive acquisition and co-registration of PAT and MRI images in in vivo animal studies. Based on commercial PAT and MRI scanners, our solution includes a 3D-printed dual-modality imaging bed, a 3-D spatial image co-registration algorithm with dual-modality markers, and a robust modality switching protocol for in vivo imaging studies. Using the proposed solution, we successfully demonstrated co-registered hybrid-contrast PAT-MRI imaging that simultaneously displays multi-scale anatomical, functional and molecular characteristics on healthy and cancerous living mice. Week-long longitudinal dual-modality imaging of tumor development reveals information on size, border, vascular pattern, blood oxygenation, and molecular probe metabolism of the tumor micro-environment at the same time. The proposed methodology holds promise for a wide range of pre-clinical research applications that benefit from the PAT-MRI dual-modality image contrast.
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Affiliation(s)
- Shuangyang Zhang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhichao Liang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Kaiyi Tang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Xipan Li
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaoming Zhang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Zongxin Mo
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Jian Wu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Shixian Huang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Jiaming Liu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhijian Zhuang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Li Qi
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Wufan Chen
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
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Liu X, Kalva SK, Lafci B, Nozdriukhin D, Deán-Ben XL, Razansky D. Full-view LED-based optoacoustic tomography. PHOTOACOUSTICS 2023; 31:100521. [PMID: 37342502 PMCID: PMC10277581 DOI: 10.1016/j.pacs.2023.100521] [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: 04/28/2023] [Revised: 05/30/2023] [Accepted: 06/06/2023] [Indexed: 06/23/2023]
Abstract
Optoacoustic tomography is commonly performed with bulky and expensive short-pulsed solid-state lasers providing high per-pulse energies in the millijoule range. Light emitting diodes (LEDs) represent a cost-effective and portable alternative for optoacoustic signal excitation that can additionally provide excellent pulse-to-pulse stability. Herein, we introduce a full-view LED-based optoacoustic tomography (FLOAT) system for deep tissue in vivo imaging. It is based on a custom-made electronic unit driving a stacked array of LEDs, which attains 100 ns pulse width and highly stable (0.62 % standard deviation) total per-pulse energy of 0.48 mJ. The illumination source is integrated into a circular array of cylindrically-focused ultrasound detection elements to result in a full-view tomographic configuration, which plays a critical role in circumventing limited-view effects, enhancing the effective field-of-view and image quality for cross-sectional (2D) imaging. We characterized the FLOAT performance in terms of pulse width, power stability, excitation light distribution, signal-to-noise and penetration depth. FLOAT of the human finger revealed a comparable imaging performance to that achieved with the standard pulsed Nd:YAG laser. It is anticipated that this compact, affordable and versatile illumination technology will facilitate optoacoustic imaging developments in resource-limited settings for biological and clinical applications.
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Affiliation(s)
- Xiang Liu
- Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, Zurich CH-8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich CH-8093, Switzerland
| | - Sandeep Kumar Kalva
- Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, Zurich CH-8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich CH-8093, Switzerland
| | - Berkan Lafci
- Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, Zurich CH-8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich CH-8093, Switzerland
| | - Daniil Nozdriukhin
- Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, Zurich CH-8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich CH-8093, Switzerland
| | - Xosé Luís Deán-Ben
- Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, Zurich CH-8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich CH-8093, Switzerland
| | - Daniel Razansky
- Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, Zurich CH-8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich CH-8093, Switzerland
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33
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Bortot B, Mangogna A, Di Lorenzo G, Stabile G, Ricci G, Biffi S. Image-guided cancer surgery: a narrative review on imaging modalities and emerging nanotechnology strategies. J Nanobiotechnology 2023; 21:155. [PMID: 37202750 DOI: 10.1186/s12951-023-01926-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 05/11/2023] [Indexed: 05/20/2023] Open
Abstract
Surgical resection is the cornerstone of solid tumour treatment. Current techniques for evaluating margin statuses, such as frozen section, imprint cytology, and intraoperative ultrasound, are helpful. However, an intraoperative assessment of tumour margins that is accurate and safe is clinically necessary. Positive surgical margins (PSM) have a well-documented negative effect on treatment outcomes and survival. As a result, surgical tumour imaging methods are now a practical method for reducing PSM rates and improving the efficiency of debulking surgery. Because of their unique characteristics, nanoparticles can function as contrast agents in image-guided surgery. While most image-guided surgical applications utilizing nanotechnology are now in the preclinical stage, some are beginning to reach the clinical phase. Here, we list the various imaging techniques used in image-guided surgery, such as optical imaging, ultrasound, computed tomography, magnetic resonance imaging, nuclear medicine imaging, and the most current developments in the potential of nanotechnology to detect surgical malignancies. In the coming years, we will see the evolution of nanoparticles tailored to specific tumour types and the introduction of surgical equipment to improve resection accuracy. Although the promise of nanotechnology for producing exogenous molecular contrast agents has been clearly demonstrated, much work remains to be done to put it into practice.
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Affiliation(s)
- Barbara Bortot
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Alessandro Mangogna
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Giovanni Di Lorenzo
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Guglielmo Stabile
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Giuseppe Ricci
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Stefania Biffi
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.
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34
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Zhao S, Hartanto J, Joseph R, Wu CH, Zhao Y, Chen YS. Hybrid photoacoustic and fast super-resolution ultrasound imaging. Nat Commun 2023; 14:2191. [PMID: 37072402 PMCID: PMC10113238 DOI: 10.1038/s41467-023-37680-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 03/28/2023] [Indexed: 04/20/2023] Open
Abstract
The combination of photoacoustic (PA) imaging and ultrasound localization microscopy (ULM) with microbubbles has great potential in various fields such as oncology, neuroscience, nephrology, and immunology. Here we developed an interleaved PA/fast ULM imaging technique that enables super-resolution vascular and physiological imaging in less than 2 seconds per frame in vivo. By using sparsity-constrained (SC) optimization, we accelerated the frame rate of ULM up to 37 times with synthetic data and 28 times with in vivo data. This allows for the development of a 3D dual imaging sequence with a commonly used linear array imaging system, without the need for complicated motion correction. Using the dual imaging scheme, we demonstrated two in vivo scenarios challenging to image with either technique alone: the visualization of a dye-labeled mouse lymph node showing nearby microvasculature, and a mouse kidney microangiography with tissue oxygenation. This technique offers a powerful tool for mapping tissue physiological conditions and tracking the contrast agent biodistribution non-invasively.
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Affiliation(s)
- Shensheng Zhao
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Jonathan Hartanto
- Department of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Ritin Joseph
- Department of Materials Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | | | - Yang Zhao
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Yun-Sheng Chen
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Department of Biomedical and Translational Sciences, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL, USA.
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35
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Hu P, Li L, Wang LV. Location-Dependent Spatiotemporal Antialiasing in Photoacoustic Computed Tomography. IEEE TRANSACTIONS ON MEDICAL IMAGING 2023; 42:1210-1224. [PMID: 36449587 PMCID: PMC10171137 DOI: 10.1109/tmi.2022.3225565] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Photoacoustic computed tomography (PACT) images optical absorption contrast by detecting ultrasonic waves induced by optical energy deposition in materials such as biological tissues. An ultrasonic transducer array or its scanning equivalent is used to detect ultrasonic waves. The spatial distribution of the transducer elements must satisfy the spatial Nyquist criterion; otherwise, spatial aliasing occurs and causes artifacts in reconstructed images. The spatial Nyquist criterion poses different requirements on the transducer elements' distributions for different locations in the image domain, which has not been studied previously. In this research, we elaborate on the location dependency through spatiotemporal analysis and propose a location-dependent spatiotemporal antialiasing method. By applying this method to PACT in full-ring array geometry, we effectively mitigate aliasing artifacts with minimal effects on image resolution in both numerical simulations and in vivo experiments.
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36
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Paulus LP, Wagner AL, Buehler A, Raming R, Jüngert J, Simon D, Tascilar K, Schnell A, Günther J, Rother U, Lang W, Hoerning A, Schett G, Neurath MF, Woelfle J, Waldner MJ, Knieling F, Regensburger AP. Multispectral optoacoustic tomography of the human intestine - temporal precision and the influence of postprandial gastrointestinal blood flow. PHOTOACOUSTICS 2023; 30:100457. [PMID: 36824387 PMCID: PMC9942118 DOI: 10.1016/j.pacs.2023.100457] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 01/29/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
Multispectral optoacoustic tomography (MSOT) holds great promise as a non-invasive diagnostic tool for inflammatory bowel diseases. Yet, reliability and the impact of physiological processes during fasting and after food intake on optoacoustic signals have not been studied. In the present investigator initiated trial (NCT05160077) the intestines of ten healthy subjects were examined by MSOT at eight timepoints on two days, one fasting and one after food intake. While within-timepoint and within-day reproducibility were good for single wavelength 800 nm and total hemoglobin (ICC 0.722-0.956), between-day reproducibility was inferior (ICC -0.137 to 0.438). However, temporal variability was smaller than variation between individuals (coefficients of variation 8.9%-33.7% vs. 17.0%-48.5%). After food intake and consecutive increased intestinal circulation, indicated by reduced resistance index of simultaneous Doppler ultrasound, optoacoustic signals did not alter significantly. In summary, this study demonstrates high reliability and temporal stability of MSOT for imaging the human intestine during fasting and after food intake.
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Affiliation(s)
- Lars-Philip Paulus
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Alexandra L. Wagner
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Adrian Buehler
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Roman Raming
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Jörg Jüngert
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - David Simon
- Department of Medicine 3 and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Koray Tascilar
- Department of Medicine 3 and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Alexander Schnell
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Josefine Günther
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Ulrich Rother
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Werner Lang
- Department of Vascular Surgery, University Hospital Erlangen, Friedrich-Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - André Hoerning
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Georg Schett
- Department of Medicine 3 and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Markus F. Neurath
- Department of Medicine 1 and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Joachim Woelfle
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Maximilian J. Waldner
- Department of Medicine 1 and German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Adrian P. Regensburger
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
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Chalfant H, Bonds M, Scott K, Condacse A, Dennahy IS, Martin WT, Little C, Edil BH, McNally LR, Jain A. Innovative Imaging Techniques Used to Evaluate Borderline-Resectable Pancreatic Adenocarcinoma. J Surg Res 2023; 284:42-53. [PMID: 36535118 PMCID: PMC10131671 DOI: 10.1016/j.jss.2022.10.008] [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: 02/09/2022] [Revised: 09/15/2022] [Accepted: 10/11/2022] [Indexed: 12/23/2022]
Abstract
A diagnosis of pancreatic cancer carries a 5-y survival rate of less than 10%. Furthermore, the detection of pancreatic cancer occurs most often in later stages of the disease due to its location in the retroperitoneum and lack of symptoms (in most cases) until tumors become more advanced. Once diagnosed, cross-sectional imaging techniques are heavily utilized to determine the tumor stage and the potential for surgical resection. However, a major determinant of resectability is the extent of local vascular involvement of the mesenteric vessels and critical tributaries; current imaging techniques have limited capacity to accurately determine vascular involvement. Surrounding inflammation and fibrosis can be difficult to discriminate from viable tumor, making determination of the degree of vascular involvement unreliable. New innovations in fluorescence and optoacoustic imaging techniques may overcome these limitations and make determination of resectability more accurate. These imaging modalities are able to more clearly discern between viable tumor tissue and non-neoplastic inflammation or desmoplasia, allowing clinicians to more reliably characterize vascular involvement and develop individualized treatment plans for patients. This review will discuss the current imaging techniques used to diagnose pancreatic cancer, the barriers that current techniques raise to accurate staging, and novel fluorescence and optoacoustic imaging techniques that may provide more accurate clinical staging of pancreatic cancer.
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Affiliation(s)
- Hunter Chalfant
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma
| | - Morgan Bonds
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma
| | - Kristina Scott
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma
| | - Anna Condacse
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma
| | - Isabel S Dennahy
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma
| | - W Taylor Martin
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma
| | - Cooper Little
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma
| | - Barish H Edil
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma
| | - Lacey R McNally
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.
| | - Ajay Jain
- Department of Surgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.
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38
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Liu L, Bai B, Yang X, Du Z, Jia G. Anisotropic Heavy-Metal-Free Semiconductor Nanocrystals: Synthesis, Properties, and Applications. Chem Rev 2023; 123:3625-3692. [PMID: 36946890 DOI: 10.1021/acs.chemrev.2c00688] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Heavy-metal (Cd, Hg, and Pb)-containing semiconductor nanocrystals (NCs) have been explored widely due to their unique optical and electrical properties. However, the toxicity risks of heavy metals can be a drawback of heavy-metal-containing NCs in some applications. Anisotropic heavy-metal-free semiconductor NCs are desirable replacements and can be realized following the establishment of anisotropic growth mechanisms. These anisotropic heavy-metal-free semiconductor NCs can possess lower toxicity risks, while still exhibiting unique optical and electrical properties originating from both the morphological and compositional anisotropy. As a result, they are promising light-emitting materials in use various applications. In this review, we provide an overview on the syntheses, properties, and applications of anisotropic heavy-metal-free semiconductor NCs. In the first section, we discuss hazards of heavy metals and introduce the typical heavy-metal-containing and heavy-metal-free NCs. In the next section, we discuss anisotropic growth mechanisms, including solution-liquid-solid (SLS), oriented attachment, ripening, templated-assisted growth, and others. We discuss mechanisms leading both to morphological anisotropy and to compositional anisotropy. Examples of morphological anisotropy include growth of nanorods (NRs)/nanowires (NWs), nanotubes, nanoplatelets (NPLs)/nanosheets, nanocubes, and branched structures. Examples of compositional anisotropy, including heterostructures and core/shell structures, are summarized. Third, we provide insights into the properties of anisotropic heavy-metal-free NCs including optical polarization, fast electron transfer, localized surface plasmon resonances (LSPR), and so on, which originate from the NCs' anisotropic morphologies and compositions. Finally, we summarize some applications of anisotropic heavy-metal-free NCs including catalysis, solar cells, photodetectors, lighting-emitting diodes (LEDs), and biological applications. Despite the huge progress on the syntheses and applications of anisotropic heavy-metal-free NCs, some issues still exist in the novel anisotropic heavy-metal-free NCs and the corresponding energy conversion applications. Therefore, we also discuss the challenges of this field and provide possible solutions to tackle these challenges in the future.
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Affiliation(s)
- Long Liu
- Key Lab for Special Functional Materials, Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Bing Bai
- Key Lab for Special Functional Materials, Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Xuyong Yang
- Key Laboratory of Advanced Display and System Applications of Ministry of Education, Shanghai University, 149 Yanchang Road, Shanghai 200072, P. R. China
| | - Zuliang Du
- Key Lab for Special Functional Materials, Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Guohua Jia
- School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
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Godefroy G, Arnal B, Bossy E. Full-visibility 3D imaging of oxygenation and blood flow by simultaneous multispectral photoacoustic fluctuation imaging (MS-PAFI) and ultrasound Doppler. Sci Rep 2023; 13:2961. [PMID: 36806304 PMCID: PMC9941110 DOI: 10.1038/s41598-023-29177-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 01/31/2023] [Indexed: 02/22/2023] Open
Abstract
We present a method and setup that provide complementary three-dimensional (3D) images of blood oxygenation (via quantitative photoacoustic imaging) and blood flow dynamics (via ultrasound Doppler). The proposed approach is label-free and exploits blood-induced fluctuations, and is implemented on a sparse array with only 256 elements, driven with a commercially available ultrasound electronics. We first implement 3D photoacoustic fluctuation imaging (PAFI) to image chicken embryo, and obtain full-visibility images of the vascular morphology. We obtain simultaneously 3D ultrasound power Doppler with a comparable image quality. We then introduce multispectral photoacoustic fluctuation imaging (MS-PAFI), and demonstrate that it can provide quantitative measurements of the absorbed optical energy density with full visibility and enhanced contrast, as compared to conventional delay-and-sum multispectral photoacoustic imaging. We finally showcase the synergy and complementarity between MS-PAFI, which provides 3D quantitative oxygenation (SO[Formula: see text]) imaging, and 3D ultrasound Doppler, which provides quantitative information on blood flow dynamics. MS-PAFI represents a promising alternative to model-based inversions with the advantage of resolving all the visibility artefacts without prior and regularization, by use of a straightforward processing scheme.
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Affiliation(s)
- Guillaume Godefroy
- grid.462689.70000 0000 9272 9931Univ. Grenoble Alpes, LIPhy, CNRS, Grenoble, 38000 France
| | - Bastien Arnal
- grid.462689.70000 0000 9272 9931Univ. Grenoble Alpes, LIPhy, CNRS, Grenoble, 38000 France
| | - Emmanuel Bossy
- Univ. Grenoble Alpes, LIPhy, CNRS, Grenoble, 38000, France.
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40
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Meombe Mbolle A, Thapa S, Bukiya AN, Jiang H. High-resolution imaging in studies of alcohol effect on prenatal development. ADVANCES IN DRUG AND ALCOHOL RESEARCH 2023; 3:10790. [PMID: 37593366 PMCID: PMC10433240 DOI: 10.3389/adar.2023.10790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
Fetal alcohol syndrome represents the leading known preventable cause of mental retardation. FAS is on the most severe side of fetal alcohol spectrum disorders that stem from the deleterious effects of prenatal alcohol exposure. Affecting as many as 1 to 5 out of 100 children, FASD most often results in brain abnormalities that extend to structure, function, and cerebral hemodynamics. The present review provides an analysis of high-resolution imaging techniques that are used in animals and human subjects to characterize PAE-driven changes in the developing brain. Variants of magnetic resonance imaging such as magnetic resonance microscopy, magnetic resonance spectroscopy, diffusion tensor imaging, along with positron emission tomography, single-photon emission computed tomography, and photoacoustic imaging, are modalities that are used to study the influence of PAE on brain structure and function. This review briefly describes the aforementioned imaging modalities, the main findings that were obtained using each modality, and touches upon the advantages/disadvantages of each imaging approach.
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Affiliation(s)
- Augustine Meombe Mbolle
- Department Medical Engineering, College of Engineering and Morsani College of Medicine, University of South Florida, Tampa, FL, United States
| | - Shiwani Thapa
- Department Pharmacology, Addiction Science and Toxicology, College of Medicine, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Anna N. Bukiya
- Department Pharmacology, Addiction Science and Toxicology, College of Medicine, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Huabei Jiang
- Department Medical Engineering, College of Engineering and Morsani College of Medicine, University of South Florida, Tampa, FL, United States
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41
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Si M, Li L, Fang M, Ye Z, Zhang XC, Yang W, Nie L, Yu X. Anomalous kinetics of galactose-deficient IgA incurring nephropathy revealed by cross-scale optical imaging. Kidney Int 2023; 103:320-330. [PMID: 36341730 DOI: 10.1016/j.kint.2022.08.038] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/16/2022] [Accepted: 08/19/2022] [Indexed: 11/06/2022]
Abstract
IgA nephropathy (IgAN) is the most common glomerulonephritis, characterized by the presence of predominant IgA deposits in the mesangium. Deposition of pathogenic IgA in kidney tissue is a fundamental initiating process that has not been fully studied. Here, we employed optical imaging to directly visualize kidney deposition of IgA with optimized spatial and temporal resolution in BALB/c nude mice. Real-time fluorescence imaging revealed that IgA isolated from patients with IgAN preferentially accumulated in the kidneys, compared with IgA purified from healthy individuals. There was no difference in the distribution of either IgA preparation by the liver. Photoacoustic computed tomography dynamically demonstrated and quantified the enhanced retention of pathological IgA in the kidney cortex. Photoacoustic microscopy tracked IgA deposition in the glomeruli with a resolution down to three microns in a mouse model. Notably, longitudinal fluorescent imaging revealed that galactose-deficient IgA (Gd-IgA), which was elevated in the circulation of patients with IgAN, persisted in the kidney for longer than two weeks, and stable deposition of Gd-IgA induced kidney impairment, including albuminuria and mesangial proliferation. Thus, our study highlights that the aberrant kidney depositional kinetics of Gd-IgA is involved in the pathogenesis of IgAN. Hence, cross-scale optical imaging has potential applications in assessing immune-mediated kidney diseases and uncovering underlying mechanisms of disease.
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Affiliation(s)
- Meijun Si
- Department of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China; Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Lanqing Li
- Medical Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Mengting Fang
- Department of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China; Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhiming Ye
- Department of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China; Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xu-Chao Zhang
- Medical Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Wei Yang
- Medical Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Liming Nie
- Medical Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Xueqing Yu
- Department of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China; Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
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Chen C, Chen Y, Wang X, Zhang L, Luo Y, Tang Q, Wang Y, Liang X, Ma C. In situ synthesized nanozyme for photoacoustic-imaging-guided photothermal therapy and tumor hypoxia relief. iScience 2023; 26:106066. [PMID: 36818293 PMCID: PMC9929682 DOI: 10.1016/j.isci.2023.106066] [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] [Received: 08/24/2022] [Revised: 11/27/2022] [Accepted: 01/23/2023] [Indexed: 01/27/2023] Open
Abstract
Nanozymes have attracted extensive research interest due to their ideal enzymatic catalytic performance; however, uncontrollable activities and nonspecific accumulation limit their further clinical application. To overcome these obstacles, we proposed in situ synthesized nanozyme, and realized the concept through an intelligent nanosystem (ISSzyme) based on Prussian blue (PB) precursor. PB nanozyme was synthesized at the tumor sites through the interaction of ISSzyme with glutathione, which was demonstrated by comparing with conventional PB nanozyme. ISSzyme is capable of tumor-specific photoacoustic imaging (PAI) and photothermal therapy (PTT), reducing the false-positive signals of PAI and the treatment side effects of PTT. ISSzyme has catalase-like activities, resulting in tumor hypoxia relief and metastasis inhibition. More importantly, the in situ synthesized PB nanozyme has the favorable property of minimal liver accumulation. Considering the above advantages, ISSzyme is expected to shed light on the design of the next-generation artificial enzymes, with many new biomedical applications.
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Affiliation(s)
- Chaoyi Chen
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Yuwen Chen
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Xuanhao Wang
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Lulu Zhang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Yan Luo
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Qingshuang Tang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Yuan Wang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Xiaolong Liang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China,Corresponding author
| | - Cheng Ma
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China,Institute for Precision Healthcare, Tsinghua University, Beijing 100084, China,Corresponding author
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Zou X, Zhao Y, Lin W. Photoacoustic/fluorescence dual-modality cyanine-based probe for real-time imaging of endogenous cysteine and in situ diagnosis of cervical cancer in vivo. Anal Chim Acta 2023; 1239:340713. [PMID: 36628718 DOI: 10.1016/j.aca.2022.340713] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
Cysteine (Cys), one of cellular biothiols in the organism, is associated with many diseases, such as Parkinson's disease, Alzheimer's disease, liver damage, rheumatoid arthritis, and cancer. However, activatable fluorescence/photoacoustic (FL/PA) probes for non-invasive, real-time, and deep imaging of Cys in vivo are still lacking, and this hinders the diagnosis of Cys-related diseases. Herein, we designed and synthesized a novel activated FL/PA dual-modality cyanine-base probe (FP700) for real-time detection of Cys. The probe FP700 was established with near-infrared emissive dye cyanin as the fluorophore, linking with 2, 4-dinitrobenzenesulfonyl group as the recognition moiety for Cys. Using the FP700, we found that the FP700 exhibited intensive "turn-on" FL/PA signals under the excitation of 700 nm, which realized noninvasive in vivo detection of exogenous Cys. Significantly, FP700 accurately detected endogenous Cys though the FL/PA dual-mode imaging technology in tumor-bearing mice and obtain 3D PA diagnostic images with deep penetration depth and spatial resolution. Thus, the new dual-modality probe FP700 has advantage of high potential for deep tumor diagnosis of Cys in vivo, which may provide a new approach for the detection of cervical cancer and identification of its potential therapeutic targets.
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Affiliation(s)
- Xiang Zou
- Guangxi Key Laboratory of Electrochemical Energy Materials, Institute of Optical Materials and Chemical Biology, School of Chemistry and Chemical Engineering, Guangxi University, Nanning, Guangxi, 530004, PR China
| | - Yuping Zhao
- Guangxi Key Laboratory of Electrochemical Energy Materials, Institute of Optical Materials and Chemical Biology, School of Chemistry and Chemical Engineering, Guangxi University, Nanning, Guangxi, 530004, PR China
| | - Weiying Lin
- Guangxi Key Laboratory of Electrochemical Energy Materials, Institute of Optical Materials and Chemical Biology, School of Chemistry and Chemical Engineering, Guangxi University, Nanning, Guangxi, 530004, PR China.
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Choi W, Park B, Choi S, Oh D, Kim J, Kim C. Recent Advances in Contrast-Enhanced Photoacoustic Imaging: Overcoming the Physical and Practical Challenges. Chem Rev 2023. [PMID: 36642892 DOI: 10.1021/acs.chemrev.2c00627] [Citation(s) in RCA: 36] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
For decades now, photoacoustic imaging (PAI) has been investigated to realize its potential as a niche biomedical imaging modality. Despite its highly desirable optical contrast and ultrasonic spatiotemporal resolution, PAI is challenged by such physical limitations as a low signal-to-noise ratio (SNR), diminished image contrast due to strong optical attenuation, and a lower-bound on spatial resolution in deep tissue. In addition, contrast-enhanced PAI has faced practical limitations such as insufficient cell-specific targeting due to low delivery efficiency and difficulties in developing clinically translatable agents. Identifying these limitations is essential to the continuing expansion of the field, and substantial advances in developing contrast-enhancing agents, complemented by high-performance image acquisition systems, have synergistically dealt with the challenges of conventional PAI. This review covers the past four years of research on pushing the physical and practical challenges of PAI in terms of SNR/contrast, spatial resolution, targeted delivery, and clinical application. Promising strategies for dealing with each challenge are reviewed in detail, and future research directions for next generation contrast-enhanced PAI are discussed.
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Affiliation(s)
- Wonseok Choi
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Byullee Park
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Seongwook Choi
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Donghyeon Oh
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Jongbeom Kim
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Chulhong Kim
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
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Danko V, Jüngert J, Schuessler S, Buehler A, Klett D, Federle A, Roos A, Lochmüller H, Neurath MF, Woelfle J, Trollmann R, Waldner MJ, Knieling F, Regensburger AP, Wagner AL. Hybrid reflected-ultrasound computed tomography versus B-mode-ultrasound for muscle scoring in spinal muscular atrophy. J Neuroimaging 2023; 33:393-403. [PMID: 36627228 DOI: 10.1111/jon.13081] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 12/19/2022] [Accepted: 12/27/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND AND PURPOSE Novel light- and sound-based technologies like multispectral optoacoustic tomography (MSOT) with co-registered reflected-ultrasound computed tomography (RUCT) could add additional value to conventional ultrasound (US) for disease phenotyping in pediatric spinal muscular atrophy (SMA). The aim of this study was to investigate the quality of RUCT compared to US for qualitative and quantitative assessment of imaging neuromuscular disorders. METHODS Subanalyzing the MSOT SMA study, 288 RUCT and 276 US images from 10 SMA patients (mean age 9.0 ± 3.7) and 10 gender- and age-matched healthy volunteers (HV; mean age 8.7 ± 4.3) were analyzed for quantitative (grayscale levels [GSLs]) and qualitative (echogenicity, distribution pattern, Heckmatt scale, and muscle texture) muscle changes. RUCT and US measures were further correlated with clinical standard motor outcomes. RESULTS Quantitative agreement using GSLs revealed significantly higher GSLs in muscles of SMA patients compared to healthy muscles in both techniques (US mean GSL [SD] SMA vs. HV: 110.70 [27.8] vs. 68.85 [19.2], p < .0001; RUCT mean GSL [SD] SMA vs. HV: 91.81 [21.8] vs. 59.86 [8.2], p < .0001) with good correlation with motor outcome tests, respectively. Qualitative agreement between methods for muscle composition was excellent for differentiation of pathological versus healthy muscles, echogenicity, and distribution pattern, moderate for Heckmatt scale, and poor for muscle texture. CONCLUSIONS The data suggest that RUCT may allow the assessment of basic qualitative and quantitative measures for muscular diseases with comparable results to conventional US.
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Affiliation(s)
- Vera Danko
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Jörg Jüngert
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Stephanie Schuessler
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Adrian Buehler
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Daniel Klett
- Medical Department 1, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,German Center Immunotherapy, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Anna Federle
- Medical Department 1, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,German Center Immunotherapy, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Andreas Roos
- Department of Pediatric Neurology, Developmental Neurology and Social Pediatrics, University of Duisburg-Essen, Essen, Germany.,Children's Hospital of Eastern Ontario Research Institute; Division of Neurology, Department of Medicine, The Ottawa Hospital; and Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada.,Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
| | - Hanns Lochmüller
- Children's Hospital of Eastern Ontario Research Institute; Division of Neurology, Department of Medicine, The Ottawa Hospital; and Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada
| | - Markus F Neurath
- Medical Department 1, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,German Center Immunotherapy, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Joachim Woelfle
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Regina Trollmann
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Maximilian J Waldner
- Medical Department 1, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,German Center Immunotherapy, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Adrian P Regensburger
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Alexandra L Wagner
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Center for Chronically Sick Children, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Lin H, Yu Y, Zhu L, Lai N, Zhang L, Guo Y, Lin X, Yang D, Ren N, Zhu Z, Dong Q. Implications of hydrogen sulfide in colorectal cancer: Mechanistic insights and diagnostic and therapeutic strategies. Redox Biol 2023; 59:102601. [PMID: 36630819 PMCID: PMC9841368 DOI: 10.1016/j.redox.2023.102601] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/01/2023] [Accepted: 01/02/2023] [Indexed: 01/09/2023] Open
Abstract
Hydrogen sulfide (H2S) is an important signaling molecule in colorectal cancer (CRC). It is produced in the colon by the catalytic synthesis of the colonocytes' enzymatic systems and the release of intestinal microbes, and is oxidatively metabolized in the colonocytes' mitochondria. Both endogenous H2S in colonic epithelial cells and exogenous H2S in intestinal lumen contribute to the onset and progression of CRC. The up-regulation of endogenous synthetases is thought to be the cause of the elevated H2S levels in CRC cells. Different diagnostic probes and combination therapies, as well as tumor treatment approaches through H2S modulation, have been developed in recent years and have become active area of investigation for the diagnosis and treatment of CRC. In this review, we focus on the specific mechanisms of H2S production and oxidative metabolism as well as the function of H2S in the occurrence, progression, diagnosis, and treatment of CRC. We also discuss the present challenges and provide insights into the future research of this burgeoning field.
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Affiliation(s)
- Hanchao Lin
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer, Shanghai Municipal Health Commission, Minhang Hospital, Fudan University, China; Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, China
| | - Yixin Yu
- College of Materials Science and Engineering, Qingdao University of Science and Technology, China
| | - Le Zhu
- Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, China
| | - Nannan Lai
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer, Shanghai Municipal Health Commission, Minhang Hospital, Fudan University, China
| | - Luming Zhang
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer, Shanghai Municipal Health Commission, Minhang Hospital, Fudan University, China
| | - Yu Guo
- Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, China
| | - Xinxin Lin
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer, Shanghai Municipal Health Commission, Minhang Hospital, Fudan University, China
| | - Dongqin Yang
- Department of Digestive Diseases, Huashan Hospital, Fudan University, China.
| | - Ning Ren
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer, Shanghai Municipal Health Commission, Minhang Hospital, Fudan University, China; Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, And Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, China.
| | - Zhiling Zhu
- College of Materials Science and Engineering, Qingdao University of Science and Technology, China.
| | - Qiongzhu Dong
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer, Shanghai Municipal Health Commission, Minhang Hospital, Fudan University, China.
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Placke JM, Mertens D, Tasdogan A, Chorti E, Schadendorf D, Ugurel S, Roesch A, Stoffels I, Klode J. Multispectral optoacoustic tomography to differentiate between lymph node metastases and coronavirus-19 vaccine-associated lymphadenopathy. J Eur Acad Dermatol Venereol 2023; 37:907-913. [PMID: 36606548 DOI: 10.1111/jdv.18847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 12/13/2022] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Worldwide mass vaccination for COVID-19 started in late 2020. COVID-19 vaccines cause benign hypermetabolic lymphadenopathies. Clinical stratification between vaccine-associated benign lymphadenopathies and malignant lymphadenopathies through ultrasound, MRI or FDG PET-CT is not feasible. This leads to unnecessary lymph node biopsies, excisions and even radical lymph node dissections. Therefore, to avoid unnecessary surgeries, we assessed whether noninvasive multispectral optoacoustic tomography (MSOT) enables a better differentiation between benign and malignant lymphadenopathies. PATIENTS AND METHODS All patients were vaccinated for COVID-19. We used MSOT to image deoxy- and oxyhaemoglobin levels in lymph nodes of tumour patients to assess metastatic status. MSOT imaging results were compared with standard ultrasound and pathological lymph node analysis. We also evaluated the influences of gender, age and time between vaccination and MSOT measurement of lymph nodes on the measured deoxy- and oxyhaemoglobin levels in patients with reactive lymph node changes. RESULTS Multispectral optoacoustic tomography was able to identify cancer-free lymph nodes in vivo without a single false negative (33 total lymph nodes), with 100% sensitivity and 50% specificity. A statistically significant higher deoxyhaemoglobin content was detected in patients with tumour manifestations in the lymph node (p = 0.02). There was no statistically significant difference concerning oxyhaemoglobin (p = 0.65). Age, sex and time between vaccination and MSOT measurement had statistically non-significant impact on deoxy- and oxyhaemoglobin levels in patients with reactive lymph nodes. CONCLUSION Here, we show that MSOT measurement is an advantageous clinical approach to differentiate between vaccine-associated benign lymphadenopathy and malignant lymph node metastases based on the deoxygenation level in lymph nodes.
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Affiliation(s)
- Jan-Malte Placke
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Delphine Mertens
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Alpaslan Tasdogan
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Eleftheria Chorti
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Selma Ugurel
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Alexander Roesch
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Ingo Stoffels
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Joachim Klode
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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Yoo J, Oh D, Kim C, Kim HH, Um JY. Switchable preamplifier for dual modal photoacoustic and ultrasound imaging. BIOMEDICAL OPTICS EXPRESS 2023; 14:89-105. [PMID: 36698663 PMCID: PMC9842014 DOI: 10.1364/boe.476453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/27/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Abstract
Photoacoustic (PA) imaging is a high-fidelity biomedical imaging technique based on the principle of molecular-specific optical absorption of biological tissue constitute. Because PA imaging shares the same basic principle as that of ultrasound (US) imaging, the use of PA/US dual-modal imaging can be achieved using a single system. However, because PA imaging is limited to a shallower depth than US imaging due to the optical extinction in biological tissue, the PA signal yields a lower signal-to-noise ratio (SNR) than US images. To selectively amplify the PA signal, we propose a switchable preamplifier for acoustic-resolution PA microscopy implemented on an application-specific integrated circuit. Using the preamplifier, we measured the increments in the SNR with both carbon lead and wire phantoms. Furthermore, in vivo whole-body PA/US imaging of a mouse with a preamplifier showed enhancement of SNR in deep tissues, unveiling deeply located organs and vascular networks. By selectively amplifying the PA signal range to a level similar to that of the US signal without contrast agent administration, our switchable amplifier strengthens the mutual complement between PA/US imaging. PA/US imaging is impending toward clinical translation, and we anticipate that this study will help mitigate the imbalance of image depth between the two imaging modalities.
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Affiliation(s)
- Jinhee Yoo
- School of Interdisciplinary Bioscience and
Bioengineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Contributed equally
| | - Donghyeon Oh
- Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Contributed equally
| | - Chulhong Kim
- School of Interdisciplinary Bioscience and
Bioengineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
| | - Hyung Ham Kim
- School of Interdisciplinary Bioscience and
Bioengineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Equal contribution
| | - Ji-Yong Um
- Department of Medical IT
Convergence Engineering, Kumoh National Institute of
Technology, Gumi 39253, Republic
of Korea
- Equal contribution
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49
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Yang CW, Liu K, Yao CY, Li B, Juhong A, Qiu Z, Huang X. Indocyanine Green-Conjugated Superparamagnetic Iron Oxide Nanoworm for Multimodality Breast Cancer Imaging. ACS APPLIED NANO MATERIALS 2022; 5:18912-18920. [PMID: 37635916 PMCID: PMC10448907 DOI: 10.1021/acsanm.2c04687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
Abstract
Breast cancer is the leading cause of cancer-associated deaths among women. Techniques for non-invasive breast cancer detection and imaging are urgently needed. Multimodality breast cancer imaging is attractive since it can integrate advantages from several modalities, enabling more accurate cancer detection. In order to accomplish this, indocyanine green (ICG)-conjugated superparamagnetic iron oxide nanoworm (NW-ICG) has been synthesized as a contrast agent. When evaluated in a spontaneous mouse breast cancer model, NW-ICG gave a large tumor to normal tissue contrasts in multiple imaging modalities including magnetic particle imaging, near-infrared fluorescence imaging, and photoacoustic imaging, providing more comprehensive detection and imaging of breast cancer. Thus, NW-ICGs are an attractive platform for non-invasive breast cancer diagnosis.
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Affiliation(s)
- Chia-Wei Yang
- Department of Chemistry and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States
| | - Kunli Liu
- Department of Chemistry and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States
| | - Cheng-You Yao
- Institute for Quantitative Health Science and Engineering and Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States
| | - Bo Li
- Institute for Quantitative Health Science and Engineering and Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States
| | - Aniwat Juhong
- Institute for Quantitative Health Science and Engineering and Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States
| | - Zhen Qiu
- Institute for Quantitative Health Science and Engineering, Department of Electrical and Computer Engineering, and Department of Biomedical Engineering, Michigan State University, East Lansing, Michigan 48824, United States
| | - Xuefei Huang
- Department of Chemistry, Institute for Quantitative Health Science and Engineering, and Department of Biomedical Engineering, Michigan State University, East Lansing, Michigan 48824, United States
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50
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Zhang F, Yang L, Yan H, Tian B, Zhu X. Black graphitic carbon nitride nanosheets with mid-gap states realizing highly efficient near-infrared photo-thermal conversion for photoacoustic imaging. J Mater Chem B 2022; 10:9923-9930. [PMID: 36448540 DOI: 10.1039/d2tb01682f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Developing metal-free photo-thermal transduction nanoagents (PTNAs) with high conversion efficiency addresses the balance between superior photothermal performance and good biocompatibility in the field of bio-applications of PTNAs. Herein, we highlight the bandgap-engineered black graphitic carbon nitride nanosheets (denoted as B-g-C3N4) as a novel metal-free PTNA with high conversion efficiency (62% at 808 nm) for photoacoustic imaging. The B-g-C3N4 absorbed infrared light with a narrowed bandgap and electronic states within the band (known as mid-gap states) due to the synergistic effect of sulfur incorporation, nitrogen vacancies and the porous structure. Notably, the mid-gap states mediated the non-irradiative recombination of electrons and holes, bringing about energy dissipated as phonons. Owing to the high conversion efficiency as well as superior biocompatibility, HeLa cells incubated with B-g-C3N4 can be ablated under 808 nm light illumination. Furthermore, the B-g-C3N4 realized cross-sectional multispectral optoacoustic tomography (MSOT) imaging of the U14-tumor-bearing mouse. This work expands the catalogue of highly efficient metal-free PTNAs, showing great promise in biological applications.
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Affiliation(s)
- Feng Zhang
- Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 230026, China.
| | - Li Yang
- College of Chemistry and Chemical Engineering, Anhui University, Hefei, 230601, P. R. China
| | - Haining Yan
- Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 230026, China.
| | - Beibei Tian
- College of Chemistry and Chemical Engineering, Anhui University, Hefei, 230601, P. R. China
| | - Xiaojiao Zhu
- College of Chemistry and Chemical Engineering, Anhui University, Hefei, 230601, P. R. China
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