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Hahmann J, Ishaqat A, Lammers T, Herrmann A. Sonogenetics for Monitoring and Modulating Biomolecular Function by Ultrasound. Angew Chem Int Ed Engl 2024; 63:e202317112. [PMID: 38197549 DOI: 10.1002/anie.202317112] [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: 11/10/2023] [Revised: 01/01/2024] [Accepted: 01/08/2024] [Indexed: 01/11/2024]
Abstract
Ultrasound technology, synergistically harnessed with genetic engineering and chemistry concepts, has started to open the gateway to the remarkable realm of sonogenetics-a pioneering paradigm for remotely orchestrating cellular functions at the molecular level. This fusion not only enables precisely targeted imaging and therapeutic interventions, but also advances our comprehension of mechanobiology to unparalleled depths. Sonogenetic tools harness mechanical force within small tissue volumes while preserving the integrity of the surrounding physiological environment, reaching depths of up to tens of centimeters with high spatiotemporal precision. These capabilities circumvent the inherent physical limitations of alternative in vivo control methods such as optogenetics and magnetogenetics. In this review, we first discuss mechanosensitive ion channels, the most commonly utilized sonogenetic mediators, in both mammalian and non-mammalian systems. Subsequently, we provide a comprehensive overview of state-of-the-art sonogenetic approaches that leverage thermal or mechanical features of ultrasonic waves. Additionally, we explore strategies centered around the design of mechanochemically reactive macromolecular systems. Furthermore, we delve into the realm of ultrasound imaging of biomolecular function, encompassing the utilization of gas vesicles and acoustic reporter genes. Finally, we shed light on limitations and challenges of sonogenetics and present a perspective on the future of this promising technology.
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Affiliation(s)
- Johannes Hahmann
- Institute of Technical and Macromolecular Chemistry, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany
- DWI - Leibniz Institute for Interactive Materials, Forckenbeckstr. 50, 52074, Aachen, Germany
- Max Planck School Matter to Life, Jahnstr. 29, 69120, Heidelberg, Germany
| | - Aman Ishaqat
- Institute of Technical and Macromolecular Chemistry, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany
- DWI - Leibniz Institute for Interactive Materials, Forckenbeckstr. 50, 52074, Aachen, Germany
| | - Twan Lammers
- Institute for Experimental Molecular Imaging (ExMI), Center for Biohybrid Medical Systems (CBMS), RWTH Aachen University Clinic, Forckenbeckstr. 55, 52074, Aachen, Germany
| | - Andreas Herrmann
- Institute of Technical and Macromolecular Chemistry, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany
- DWI - Leibniz Institute for Interactive Materials, Forckenbeckstr. 50, 52074, Aachen, Germany
- Max Planck School Matter to Life, Jahnstr. 29, 69120, Heidelberg, Germany
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Liu X, Zhou P, Qiu T, Wu DO. Blockchain-Enabled Contextual Online Learning under Local Differential Privacy for Coronary Heart Disease Diagnosis in Mobile Edge Computing. IEEE J Biomed Health Inform 2020; PP:2177-2188. [PMID: 32750921 DOI: 10.1109/jbhi.2020.2999497] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Due to the increasing medical data for coronary heart disease (CHD) diagnosis, how to assist doctors to make proper clinical diagnosis has attracted considerable attention. However, it faces many challenges, including personalized diagnosis, high dimensional datasets, clinical privacy concerns and insufficient computing resources. To handle these issues, we propose a novel blockchain-enabled contextual online learning model under local differential privacy for CHD diagnosis in mobile edge computing. Various edge nodes in the network can collaborate with each other to achieve information sharing, which guarantees that CHD diagnosis is suitable and reliable. To support the dynamically increasing dataset, we adopt a top-down tree structure to contain medical records which is partitioned adaptively. Furthermore, we consider patients' contexts (e.g., lifestyle, medical history records, and physical features) to provide more accurate diagnosis. Besides, to protect the privacy of patients and medical transactions without any trusted third party, we utilize the local differential privacy with randomised response mechanism and ensure blockchain-enabled information-sharing authentication under multi-party computation. Based on the theoretical analysis, we confirm that we provide real-time and precious CHD diagnosis for patients with sublinear regret, and achieve efficient privacy protection. The experimental results validate that our algorithm {outperforms} other algorithm benchmarks on running time, error rate and diagnosis accuracy.
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Maresca D, Lakshmanan A, Abedi M, Bar-Zion A, Farhadi A, Lu GJ, Szablowski JO, Wu D, Yoo S, Shapiro MG. Biomolecular Ultrasound and Sonogenetics. Annu Rev Chem Biomol Eng 2018; 9:229-252. [PMID: 29579400 PMCID: PMC6086606 DOI: 10.1146/annurev-chembioeng-060817-084034] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Visualizing and modulating molecular and cellular processes occurring deep within living organisms is fundamental to our study of basic biology and disease. Currently, the most sophisticated tools available to dynamically monitor and control cellular events rely on light-responsive proteins, which are difficult to use outside of optically transparent model systems, cultured cells, or surgically accessed regions owing to strong scattering of light by biological tissue. In contrast, ultrasound is a widely used medical imaging and therapeutic modality that enables the observation and perturbation of internal anatomy and physiology but has historically had limited ability to monitor and control specific cellular processes. Recent advances are beginning to address this limitation through the development of biomolecular tools that allow ultrasound to connect directly to cellular functions such as gene expression. Driven by the discovery and engineering of new contrast agents, reporter genes, and bioswitches, the nascent field of biomolecular ultrasound carries a wave of exciting opportunities.
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Affiliation(s)
- David Maresca
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Anupama Lakshmanan
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA
| | - Mohamad Abedi
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA
| | - Avinoam Bar-Zion
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Arash Farhadi
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA
| | - George J Lu
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Jerzy O Szablowski
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Di Wu
- Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena, California 91125, USA
| | - Sangjin Yoo
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Mikhail G Shapiro
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA;
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Maresca D, Lakshmanan A, Lee-Gosselin A, Melis JM, Ni YL, Bourdeau RW, Kochmann DM, Shapiro MG. Nonlinear ultrasound imaging of nanoscale acoustic biomolecules. APPLIED PHYSICS LETTERS 2017; 110:073704. [PMID: 28289314 PMCID: PMC5315666 DOI: 10.1063/1.4976105] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 01/29/2017] [Indexed: 05/19/2023]
Abstract
Ultrasound imaging is widely used to probe the mechanical structure of tissues and visualize blood flow. However, the ability of ultrasound to observe specific molecular and cellular signals is limited. Recently, a unique class of gas-filled protein nanostructures called gas vesicles (GVs) was introduced as nanoscale (∼250 nm) contrast agents for ultrasound, accompanied by the possibilities of genetic engineering, imaging of targets outside the vasculature and monitoring of cellular signals such as gene expression. These possibilities would be aided by methods to discriminate GV-generated ultrasound signals from anatomical background. Here, we show that the nonlinear response of engineered GVs to acoustic pressure enables selective imaging of these nanostructures using a tailored amplitude modulation strategy. Finite element modeling predicted a strongly nonlinear mechanical deformation and acoustic response to ultrasound in engineered GVs. This response was confirmed with ultrasound measurements in the range of 10 to 25 MHz. An amplitude modulation pulse sequence based on this nonlinear response allows engineered GVs to be distinguished from linear scatterers and other GV types with a contrast ratio greater than 11.5 dB. We demonstrate the effectiveness of this nonlinear imaging strategy in vitro, in cellulo, and in vivo.
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Affiliation(s)
- David Maresca
- Division of Chemistry and Chemical Engineering, California Institute of Technology , Pasadena, California 91125, USA
| | - Anupama Lakshmanan
- Division of Biology and Biological Engineering, California Institute of Technology , Pasadena, California 91125, USA
| | - Audrey Lee-Gosselin
- Division of Chemistry and Chemical Engineering, California Institute of Technology , Pasadena, California 91125, USA
| | - Johan M Melis
- Division of Biology and Biological Engineering, California Institute of Technology , Pasadena, California 91125, USA
| | - Yu-Li Ni
- Division of Chemistry and Chemical Engineering, California Institute of Technology , Pasadena, California 91125, USA
| | - Raymond W Bourdeau
- Division of Chemistry and Chemical Engineering, California Institute of Technology , Pasadena, California 91125, USA
| | - Dennis M Kochmann
- Division of Engineering and Applied Science, California Institute of Technology , Pasadena, California 91125, USA
| | - Mikhail G Shapiro
- Division of Chemistry and Chemical Engineering, California Institute of Technology , Pasadena, California 91125, USA
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Xiong Z, Sun DW, Pu H, Gao W, Dai Q. Applications of emerging imaging techniques for meat quality and safety detection and evaluation: A review. Crit Rev Food Sci Nutr 2017; 57:755-768. [PMID: 25975703 DOI: 10.1080/10408398.2014.954282] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
With improvement in people's living standards, many people nowadays pay more attention to quality and safety of meat. However, traditional methods for meat quality and safety detection and evaluation, such as manual inspection, mechanical methods, and chemical methods, are tedious, time-consuming, and destructive, which cannot meet the requirements of modern meat industry. Therefore, seeking out rapid, non-destructive, and accurate inspection techniques is important for the meat industry. In recent years, a number of novel and noninvasive imaging techniques, such as optical imaging, ultrasound imaging, tomographic imaging, thermal imaging, and odor imaging, have emerged and shown great potential in quality and safety assessment. In this paper, a detailed overview of advanced applications of these emerging imaging techniques for quality and safety assessment of different types of meat (pork, beef, lamb, chicken, and fish) is presented. In addition, advantages and disadvantages of each imaging technique are also summarized. Finally, future trends for these emerging imaging techniques are discussed, including integration of multiple imaging techniques, cost reduction, and developing powerful image-processing algorithms.
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Affiliation(s)
- Zhenjie Xiong
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China
| | - Da-Wen Sun
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China.,c Food Refrigeration and Computerised Food Technology , Agriculture and Food Science Centre, University College Dublin, National University of Ireland , Belfield , Dublin , Ireland
| | - Hongbin Pu
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China
| | - Wenhong Gao
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China
| | - Qiong Dai
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China
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Ohl SW, Klaseboer E, Khoo BC. Bubbles with shock waves and ultrasound: a review. Interface Focus 2015; 5:20150019. [PMID: 26442143 DOI: 10.1098/rsfs.2015.0019] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
The study of the interaction of bubbles with shock waves and ultrasound is sometimes termed 'acoustic cavitation'. It is of importance in many biomedical applications where sound waves are applied. The use of shock waves and ultrasound in medical treatments is appealing because of their non-invasiveness. In this review, we present a variety of acoustics-bubble interactions, with a focus on shock wave-bubble interaction and bubble cloud phenomena. The dynamics of a single spherically oscillating bubble is rather well understood. However, when there is a nearby surface, the bubble often collapses non-spherically with a high-speed jet. The direction of the jet depends on the 'resistance' of the boundary: the bubble jets towards a rigid boundary, splits up near an elastic boundary, and jets away from a free surface. The presence of a shock wave complicates the bubble dynamics further. We shall discuss both experimental studies using high-speed photography and numerical simulations involving shock wave-bubble interaction. In biomedical applications, instead of a single bubble, often clouds of bubbles appear (consisting of many individual bubbles). The dynamics of such a bubble cloud is even more complex. We shall show some of the phenomena observed in a high-intensity focused ultrasound (HIFU) field. The nonlinear nature of the sound field and the complex inter-bubble interaction in a cloud present challenges to a comprehensive understanding of the physics of the bubble cloud in HIFU. We conclude the article with some comments on the challenges ahead.
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Affiliation(s)
- Siew-Wan Ohl
- Institute of High Performance Computing , 1 Fusionopolis Way, 16-16 Connexis North, Singapore 138632 , Republic of Singapore
| | - Evert Klaseboer
- Institute of High Performance Computing , 1 Fusionopolis Way, 16-16 Connexis North, Singapore 138632 , Republic of Singapore
| | - Boo Cheong Khoo
- Department of Mechanical Engineering , National University of Singapore , Block EA 07-08, 9 Engineering Drive 1, Singapore 117575 , Republic of Singapore
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Chen Q, Zhang C, Zhao J, Ouyang Q. Recent advances in emerging imaging techniques for non-destructive detection of food quality and safety. Trends Analyt Chem 2013. [DOI: 10.1016/j.trac.2013.09.007] [Citation(s) in RCA: 127] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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Rao VSH, Kumar MN. Novel Approaches for Predicting Risk Factors of Atherosclerosis. IEEE J Biomed Health Inform 2013. [DOI: 10.1109/titb.2012.2227271] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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