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Xing Y, Yang K, Lu A, Mackie K, Guo F. Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine. CYBORG AND BIONIC SYSTEMS 2024; 5:0160. [PMID: 39282019 PMCID: PMC11395709 DOI: 10.34133/cbsystems.0160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 08/01/2024] [Accepted: 08/14/2024] [Indexed: 09/18/2024] Open
Abstract
Personalized pain medicine aims to tailor pain treatment strategies for the specific needs and characteristics of an individual patient, holding the potential for improving treatment outcomes, reducing side effects, and enhancing patient satisfaction. Despite existing pain markers and treatments, challenges remain in understanding, detecting, and treating complex pain conditions. Here, we review recent engineering efforts in developing various sensors and devices for addressing challenges in the personalized treatment of pain. We summarize the basics of pain pathology and introduce various sensors and devices for pain monitoring, assessment, and relief. We also discuss advancements taking advantage of rapidly developing medical artificial intelligence (AI), such as AI-based analgesia devices, wearable sensors, and healthcare systems. We believe that these innovative technologies may lead to more precise and responsive personalized medicine, greatly improved patient quality of life, increased efficiency of medical systems, and reducing the incidence of addiction and substance use disorders.
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Affiliation(s)
- Yantao Xing
- Department of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN 47405, USA
| | - Kaiyuan Yang
- Department of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN 47405, USA
| | - Albert Lu
- Department of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN 47405, USA
- Culver Academies High School, Culver, IN 46511, USA
| | - Ken Mackie
- Gill Center for Biomolecular Science, Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN 47405, USA
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN 47405, USA
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2
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Chen W, Xia M, Zhu W, Xu Z, Cai B, Shen H. A bio-fabricated tesla valves and ultrasound waves-powered blood plasma viscometer. Front Bioeng Biotechnol 2024; 12:1394373. [PMID: 38720878 PMCID: PMC11076727 DOI: 10.3389/fbioe.2024.1394373] [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: 03/01/2024] [Accepted: 04/11/2024] [Indexed: 05/12/2024] Open
Abstract
Introduction: There is clinical evidence that the fresh blood viscosity is an important indicator in the development of vascular disorder and coagulation. However, existing clinical viscosity measurement techniques lack the ability to measure blood viscosity and replicate the in-vivo hemodynamics simultaneously. Methods: Here, we fabricate a novel digital device, called Tesla valves and ultrasound waves-powered blood plasma viscometer (TUBPV) which shows capacities in both viscosity measurement and coagulation monitoring. Results: Based on the Hagen-Poiseuille equation, viscosity analysis can be faithfully performed by a video microscopy. Tesla-like channel ensured unidirectional liquid motion with stable pressure driven that was triggered by the interaction of Tesla valve structure and ultrasound waves. In few seconds the TUBPV can generate an accurate viscosity profile on clinic fresh blood samples from the flow time evaluation. Besides, Tesla-inspired microchannels can be used in the real-time coagulation monitoring. Discussion: These results indicate that the TUBVP can serve as a point-of-care device in the ICU to evaluate the blood's viscosity and the anticoagulation treatment.
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Affiliation(s)
- Wenqin Chen
- Department of Clinical Laboratory, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Mao Xia
- Department of Clinical Laboratory, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Wentao Zhu
- School of Environment and Health, Jianghan University, Wuhan, China
| | - Zhiye Xu
- Department of Clinical Laboratory, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Bo Cai
- School of Environment and Health, Jianghan University, Wuhan, China
| | - Han Shen
- Department of Clinical Laboratory, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
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3
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Li X, Chen J, Yang Y, Cai H, Ao Z, Xing Y, Li K, Yang K, Wallace A, Friend J, Lee LP, Wang N, Guo F. Extracellular vesicles-based point-of-care testing for the diagnosis and monitoring of Alzheimer's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.31.587511. [PMID: 38617279 PMCID: PMC11014472 DOI: 10.1101/2024.03.31.587511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Alzheimer's disease (AD) is a debilitating condition that affects millions of people worldwide. One promising strategy for detecting and monitoring AD early on is using extracellular vesicles (EVs)-based point-of-care testing; however, diagnosing AD using EVs poses a challenge due to the low abundance of EV-biomarkers. Here, we present a fully integrated organic electrochemical transistor (OECT) that enables high accuracy, speed, and convenience in the detection of EVs from AD patients. We incorporated self-aligned acoustoelectric enhancement of EVs on a chip that rapidly propels, enriches, and specifically binds EVs to the OECT detection area. With our enhancement of pre-concentration, we increased the sensitivity to a limit of detection of 500 EV particles/μL and reduced the required detection time to just two minutes. We also tested the sensor on an AD mouse model to monitor AD progression, examined mouse Aβ EVs at different time courses, and compared them with intraneuronal Aβ cumulation using MRI. This innovative technology has the potential to diagnose Alzheimer's and other neurodegenerative diseases accurately and quickly, enabling monitoring of disease progression and treatment response.
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4
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Wu Y, Gai J, Zhao Y, Liu Y, Liu Y. Acoustofluidic Actuation of Living Cells. MICROMACHINES 2024; 15:466. [PMID: 38675277 PMCID: PMC11052308 DOI: 10.3390/mi15040466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 03/22/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024]
Abstract
Acoutofluidics is an increasingly developing and maturing technical discipline. With the advantages of being label-free, non-contact, bio-friendly, high-resolution, and remote-controllable, it is very suitable for the operation of living cells. After decades of fundamental laboratory research, its technical principles have become increasingly clear, and its manufacturing technology has gradually become popularized. Presently, various imaginative applications continue to emerge and are constantly being improved. Here, we introduce the development of acoustofluidic actuation technology from the perspective of related manipulation applications on living cells. Among them, we focus on the main development directions such as acoustofluidic sorting, acoustofluidic tissue engineering, acoustofluidic microscopy, and acoustofluidic biophysical therapy. This review aims to provide a concise summary of the current state of research and bridge past developments with future directions, offering researchers a comprehensive overview and sparking innovation in the field.
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Affiliation(s)
- Yue Wu
- Department of Bioengineering, Lehigh University, Bethlehem, PA 18015, USA;
| | - Junyang Gai
- Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia;
| | - Yuwen Zhao
- Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18015, USA;
| | - Yi Liu
- School of Engineering, Dali University, Dali 671000, China
| | - Yaling Liu
- Department of Bioengineering, Lehigh University, Bethlehem, PA 18015, USA;
- Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18015, USA;
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5
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Wu Z, Cai H, Tian C, Ao Z, Jiang L, Guo F. Exploiting Sound for Emerging Applications of Extracellular Vesicles. NANO RESEARCH 2024; 17:462-475. [PMID: 38712329 PMCID: PMC11073796 DOI: 10.1007/s12274-023-5840-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 05/08/2024]
Abstract
Extracellular vesicles are nano- to microscale, membrane-bound particles released by cells into extracellular space, and act as carriers of biomarkers and therapeutics, holding promising potential in translational medicine. However, the challenges remain in handling and detecting extracellular vesicles for disease diagnosis as well as exploring their therapeutic capability for disease treatment. Here, we review the recent engineering and technology advances by leveraging the power of sound waves to address the challenges in diagnostic and therapeutic applications of extracellular vesicles and biomimetic nanovesicles. We first introduce the fundamental principles of sound waves for understanding different acoustic-assisted extracellular vesicle technologies. We discuss the acoustic-assisted diagnostic methods including the purification, manipulation, biosensing, and bioimaging of extracellular vesicles. Then, we summarize the recent advances in acoustically enhanced therapeutics using extracellular vesicles and biomimetic nanovesicles. Finally, we provide perspectives into current challenges and future clinical applications of the promising extracellular vesicles and biomimetic nanovesicles powered by sound.
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Affiliation(s)
- Zhuhao Wu
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States
| | - Hongwei Cai
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States
| | - Chunhui Tian
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States
| | - Zheng Ao
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States
| | - Lei Jiang
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States
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6
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Wu Y, Zhao Y, Islam K, Zhou Y, Omidi S, Berdichevsky Y, Liu Y. Acoustofluidic Engineering of Functional Vessel-on-a-Chip. ACS Biomater Sci Eng 2023; 9:6273-6281. [PMID: 37787770 PMCID: PMC10646832 DOI: 10.1021/acsbiomaterials.3c00925] [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: 07/09/2023] [Accepted: 09/18/2023] [Indexed: 10/04/2023]
Abstract
Construction of in vitro vascular models is of great significance to various biomedical research, such as pharmacokinetics and hemodynamics, and thus is an important direction in the tissue engineering field. In this work, a standing surface acoustic wave field was constructed to spatially arrange suspended endothelial cells into a designated acoustofluidic pattern. The cell patterning was maintained after the acoustic field was withdrawn within the solidified hydrogel. Then, interstitial flow was provided to activate vessel tube formation. In this way, a functional vessel network with specific vessel geometry was engineered on-chip. Vascular function, including perfusability and vascular barrier function, was characterized by microbead loading and dextran diffusion, respectively. A computational atomistic simulation model was proposed to illustrate how solutes cross the vascular membrane lipid bilayer. The reported acoustofluidic methodology is capable of facile and reproducible fabrication of the functional vessel network with specific geometry and high resolution. It is promising to facilitate the development of both fundamental research and regenerative therapy.
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Affiliation(s)
- Yue Wu
- Department
of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Yuwen Zhao
- Department
of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Khayrul Islam
- Department
of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Yuyuan Zhou
- Department
of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Saeed Omidi
- Department
of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Yevgeny Berdichevsky
- Department
of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States
- Department
of Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Yaling Liu
- Department
of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States
- Department
of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, Pennsylvania 18015, United States
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7
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Xu J, Cai H, Wu Z, Li X, Tian C, Ao Z, Niu VC, Xiao X, Jiang L, Khodoun M, Rothenberg M, Mackie K, Chen J, Lee LP, Guo F. Acoustic metamaterials-driven transdermal drug delivery for rapid and on-demand management of acute disease. Nat Commun 2023; 14:869. [PMID: 36797284 PMCID: PMC9935629 DOI: 10.1038/s41467-023-36581-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 02/06/2023] [Indexed: 02/18/2023] Open
Abstract
Transdermal drug delivery provides convenient and pain-free self-administration for personalized therapy. However, challenges remain in treating acute diseases mainly due to their inability to timely administrate therapeutics and precisely regulate pharmacokinetics within a short time window. Here we report the development of active acoustic metamaterials-driven transdermal drug delivery for rapid and on-demand acute disease management. Through the integration of active acoustic metamaterials, a compact therapeutic patch is integrated for penetration of skin stratum corneum and active percutaneous transport of therapeutics with precise control of dose and rate over time. Moreover, the patch device quantitatively regulates the dosage and release kinetics of therapeutics and achieves better delivery performance in vivo than through subcutaneous injection. As a proof-of-concept application, we show our method can reverse life-threatening acute allergic reactions in a female mouse model of anaphylaxis via a multi-burst delivery of epinephrine, showing better efficacy than a fixed dosage injection of epinephrine, which is the current gold standard 'self-injectable epinephrine' strategy. This innovative method may provide a promising means to manage acute disease for personalized medicine.
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Affiliation(s)
- Junhua Xu
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
- Biopharmaceutical Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Hongwei Cai
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Zhuhao Wu
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Xiang Li
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Chunhui Tian
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Zheng Ao
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Vivian C Niu
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
- Bloomington High School South, Bloomington, IN, 47401, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Lei Jiang
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Marat Khodoun
- Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Marc Rothenberg
- Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Ken Mackie
- Gill Center for Biomolecular Science, and Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47405, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
| | - Luke P Lee
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, USA.
- Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, Korea.
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA.
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8
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Wu Z, Ao Z, Cai H, Li X, Chen B, Tu H, Wang Y, Lu RO, Gu M, Cheng L, Lu X, Guo F. Acoustofluidic assembly of primary tumor-derived organotypic cell clusters for rapid evaluation of cancer immunotherapy. J Nanobiotechnology 2023; 21:40. [PMID: 36739414 PMCID: PMC9899402 DOI: 10.1186/s12951-023-01786-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/15/2023] [Indexed: 02/06/2023] Open
Abstract
Cancer immunotherapy shows promising potential for treating breast cancer. While patients may have heterogeneous treatment responses for adjuvant therapy, it is challenging to predict an individual patient's response to cancer immunotherapy. Here, we report primary tumor-derived organotypic cell clusters (POCCs) for rapid and reliable evaluation of cancer immunotherapy. By using a label-free, contactless, and highly biocompatible acoustofluidic method, hundreds of cell clusters could be assembled from patient primary breast tumor dissociation within 2 min. Through the incorporation of time-lapse living cell imaging, the POCCs could faithfully recapitulate the cancer-immune interaction dynamics as well as their response to checkpoint inhibitors. Superior to current tumor organoids that usually take more than two weeks to develop, the POCCs can be established and used for evaluation of cancer immunotherapy within 12 h. The POCCs can preserve the cell components from the primary tumor due to the short culture time. Moreover, the POCCs can be assembled with uniform fabricate size and cell composition and served as an open platform for manipulating cell composition and ratio under controlled treatment conditions with a short turnaround time. Thus, we provide a new method to identify potentially immunogenic breast tumors and test immunotherapy, promoting personalized cancer therapy.
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Affiliation(s)
- Zhuhao Wu
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Zheng Ao
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA.
| | - Hongwei Cai
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Xiang Li
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Bin Chen
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Honglei Tu
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA
| | - Yijie Wang
- Computer Science Department, Indiana University, Bloomington, IN, 47408, USA
| | - Rongze Olivia Lu
- Department of Neurological Surgery, Brain Tumor Center, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, California, CA, 94143, USA
| | - Mingxia Gu
- Center for Stem Cell and Organoid Medicine (CuSTOM), Division of Pulmonary Biology, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- University of Cincinnati School of Medicine, Cincinnati, OH, 45229, USA
| | - Liang Cheng
- Department of Pathology and Laboratory Medicine, Brown University Warren Alpert Medical School, Lifespan Academic Medical Center, and the Legorreta Cancer Center at Brown University, Providence, RI, 02903, USA
| | - Xin Lu
- Department of Biological Sciences, Boler-Parseghian Center for Rare and Neglected Diseases, Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN, 46556, USA
- Melvin and Bren Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA.
- Melvin and Bren Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
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Chen Y, Wu Z, Sutlive J, Wu K, Mao L, Nie J, Zhao XZ, Guo F, Chen Z, Huang Q. Noninvasive prenatal diagnosis targeting fetal nucleated red blood cells. J Nanobiotechnology 2022; 20:546. [PMID: 36585678 PMCID: PMC9805221 DOI: 10.1186/s12951-022-01749-3] [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: 11/11/2022] [Accepted: 12/15/2022] [Indexed: 12/31/2022] Open
Abstract
Noninvasive prenatal diagnosis (NIPD) aims to detect fetal-related genetic disorders before birth by detecting markers in the peripheral blood of pregnant women, holding the potential in reducing the risk of fetal birth defects. Fetal-nucleated red blood cells (fNRBCs) can be used as biomarkers for NIPD, given their remarkable nature of carrying the entire genetic information of the fetus. Here, we review recent advances in NIPD technologies based on the isolation and analysis of fNRBCs. Conventional cell separation methods rely primarily on physical properties and surface antigens of fNRBCs, such as density gradient centrifugation, fluorescence-activated cell sorting, and magnetic-activated cell sorting. Due to the limitations of sensitivity and purity in Conventional methods, separation techniques based on micro-/nanomaterials have been developed as novel methods for isolating and enriching fNRBCs. We also discuss emerging methods based on microfluidic chips and nanostructured substrates for static and dynamic isolation of fNRBCs. Additionally, we introduce the identification techniques of fNRBCs and address the potential clinical diagnostic values of fNRBCs. Finally, we highlight the challenges and the future directions of fNRBCs as treatment guidelines in NIPD.
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Affiliation(s)
- Yanyu Chen
- grid.207374.50000 0001 2189 3846Academy of Medical Sciences, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052 China ,grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Zhuhao Wu
- grid.411377.70000 0001 0790 959XDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405 USA
| | - Joseph Sutlive
- grid.38142.3c000000041936754XDivision of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115 USA
| | - Ke Wu
- grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Lu Mao
- grid.207374.50000 0001 2189 3846Academy of Medical Sciences, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052 China
| | - Jiabao Nie
- grid.38142.3c000000041936754XDivision of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115 USA ,grid.261112.70000 0001 2173 3359Department of Biological Sciences, Northeastern University, Boston, MA 02115 USA
| | - Xing-Zhong Zhao
- grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, United States.
| | - Zi Chen
- Division of Thoracic and Cardiac Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Qinqin Huang
- The Research and Application Center of Precision Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052, China.
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10
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Physical Forces in Glioblastoma Migration: A Systematic Review. Int J Mol Sci 2022; 23:ijms23074055. [PMID: 35409420 PMCID: PMC9000211 DOI: 10.3390/ijms23074055] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/31/2022] [Accepted: 04/04/2022] [Indexed: 02/01/2023] Open
Abstract
The invasive capabilities of glioblastoma (GBM) define the cancer’s aggressiveness, treatment resistance, and overall mortality. The tumor microenvironment influences the molecular behavior of cells, both epigenetically and genetically. Current forces being studied include properties of the extracellular matrix (ECM), such as stiffness and “sensing” capabilities. There is currently limited data on the physical forces in GBM—both relating to how they influence their environment and how their environment influences them. This review outlines the advances that have been made in the field. It is our hope that further investigation of the physical forces involved in GBM will highlight new therapeutic options and increase patient survival. A search of the PubMed database was conducted through to 23 March 2022 with the following search terms: (glioblastoma) AND (physical forces OR pressure OR shear forces OR compression OR tension OR torsion) AND (migration OR invasion). Our review yielded 11 external/applied/mechanical forces and 2 tumor microenvironment (TME) forces that affect the ability of GBM to locally migrate and invade. Both external forces and forces within the tumor microenvironment have been implicated in GBM migration, invasion, and treatment resistance. We endorse further research in this area to target the physical forces affecting the migration and invasion of GBM.
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11
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Wu Z, Chen B, Wu Y, Xia Y, Chen H, Gong Z, Hu H, Ding Z, Guo S. Scaffold-free generation of heterotypic cell spheroids using acoustofluidics. LAB ON A CHIP 2021; 21:3498-3508. [PMID: 34346468 DOI: 10.1039/d1lc00496d] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
3D cell cultures such as cell spheroids are widely used for tissue engineering, regenerative medicine, and translational medicine, but challenges remain in recapitulating the architectural complexity and spatiotemporal heterogeneity of tissues. Thus, we developed a scaffold-free and versatile acoustofluidic device to fabricate heterotypic cell spheroids with complexity over cell architectures and components. By varying the concentrations of cell suspension, we can precisely control the size of spheroids aggregated by a contact-free acoustic radiation force. By tuning the cell components including tumor cells, fibroblasts, and endothelial cells, heterotypic spheroids were controllably fabricated. These heterotypic spheroids can be used as a proof-of concept to model the spatial organization of tumor tissues. We demonstrated that the assembled components can self-assemble into layered structures as instructed by their cadherin expression. Finally, we demonstrated the acoustic assembly of mouse mammary gland components into spheroids and observed their maturation in culture. To conclude, we developed an acoustofluidic platform to fabricate complex spheroids with multiple components. We envision that this platform will pave the way for the high accuracy of spheroid fabrication and offer broad applications in numerous areas, such as tumor research, tissue engineering, developmental biology, and drug discovery.
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Affiliation(s)
- Zhuhao Wu
- Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China.
| | - Bin Chen
- Department of Laboratory Medicine, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, People's Republic of China
| | - Yue Wu
- Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China.
| | - Yu Xia
- Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China.
| | - Hui Chen
- Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China.
| | - Zhiyi Gong
- Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China.
| | - Hang Hu
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430072, People's Republic of China.
| | - Zhao Ding
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430072, People's Republic of China.
| | - Shishang Guo
- Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China.
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12
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Cai H, Ao Z, Wu Z, Song S, Mackie K, Guo F. Intelligent acoustofluidics enabled mini-bioreactors for human brain organoids. LAB ON A CHIP 2021; 21:2194-2205. [PMID: 33955446 PMCID: PMC8243411 DOI: 10.1039/d1lc00145k] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Acoustofluidics, by combining acoustics and microfluidics, provides a unique means to manipulate cells and liquids for broad applications in biomedical sciences and translational medicine. However, it is challenging to standardize and maintain excellent performance of current acoustofluidic devices and systems due to a multiplicity of factors including device-to-device variation, manual operation, environmental factors, sample variability, etc. Herein, to address these challenges, we propose "intelligent acoustofluidics" - an automated system that involves acoustofluidic device design, sensor fusion, and intelligent controller integration. As a proof-of-concept, we developed intelligent acoustofluidics based mini-bioreactors for human brain organoid culture. Our mini-bioreactors consist of three components: (1) rotors for contact-free rotation via an acoustic spiral phase vortex approach, (2) a camera for real-time tracking of rotational actions, and (3) a reinforcement learning-based controller for closed-loop regulation of rotational manipulation. After training the reinforcement learning-based controller in simulation and experimental environments, our mini-bioreactors can achieve the automated rotation of rotors in well-plates. Importantly, our mini-bioreactors can enable excellent control over rotational mode, direction, and speed of rotors, regardless of fluctuations of rotor weight, liquid volume, and operating temperature. Moreover, we demonstrated our mini-bioreactors can stably maintain the rotational speed of organoids during long-term culture, and enhance neural differentiation and uniformity of organoids. Comparing with current acoustofluidics, our intelligent system has a superior performance in terms of automation, robustness, and accuracy, highlighting the potential of novel intelligent systems in microfluidic experimentation.
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Affiliation(s)
- Hongwei Cai
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
| | - Zheng Ao
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
| | - Zhuhao Wu
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
| | - Sunghwa Song
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
| | - Ken Mackie
- Gill Center for Biomolecular Science, and, Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
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Lee KCM, Guck J, Goda K, Tsia KK. Toward deep biophysical cytometry: prospects and challenges. Trends Biotechnol 2021; 39:1249-1262. [PMID: 33895013 DOI: 10.1016/j.tibtech.2021.03.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 03/15/2021] [Accepted: 03/15/2021] [Indexed: 12/13/2022]
Abstract
The biophysical properties of cells reflect their identities, underpin their homeostatic state in health, and define the pathogenesis of disease. Recent leapfrogging advances in biophysical cytometry now give access to this information, which is obscured in molecular assays, with a discriminative power that was once inconceivable. However, biophysical cytometry should go 'deeper' in terms of exploiting the information-rich cellular biophysical content, generating a molecular knowledge base of cellular biophysical properties, and standardizing the protocols for wider dissemination. Overcoming these barriers, which requires concurrent innovations in microfluidics, optical imaging, and computer vision, could unleash the enormous potential of biophysical cytometry not only for gaining a new mechanistic understanding of biological systems but also for identifying new cost-effective biomarkers of disease.
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Affiliation(s)
- Kelvin C M Lee
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong
| | - Jochen Guck
- Max Planck Institute for the Science of Light, and Max-Planck-Zentrum für Physik und Medizin, 91058 Erlangen, Germany; Department of Physics, Friedrich-Alexander Universität Erlangen-Nürnberg, 91058 Erlangen, Germany
| | - Keisuke Goda
- Department of Chemistry, The University of Tokyo, Tokyo 113-0033, Japan; Institute of Technological Sciences, Wuhan University, Hubei 430072, China; Department of Bioengineering, University of California, Los Angeles, California 90095, USA
| | - Kevin K Tsia
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong; Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong.
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14
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Qian J, Huang W, Yang R, Lam RHW, Lee JEY. Low-cost laser-cut patterned chips for acoustic concentration of micro- to nanoparticles and cells by operating over a wide frequency range. Analyst 2021; 146:3280-3288. [PMID: 33999056 DOI: 10.1039/d1an00197c] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Acoustofluidic platforms for cell manipulation benefit from being contactless and label-free at potentially low cost. Particle concentration in a droplet relies on augmenting spatial asymmetry in the acoustic field, which is difficult to reproduce reliably. Etching periodic patterns into a chip to create acoustic band gaps is an attractive approach to spatially modify the acoustic field. However, the sensitivity of acoustic band structures to geometrical tolerances requires the use of costly microfabrication processes. In this work, we demonstrate particle concentration across a range of periodic structure patterns fabricated with a laser-cutting tool, suitable for low-cost and low-volume rapid prototyping. The relaxation on precision is underscored by experimental results of equally efficient particle concentration outside band gaps and even in their absence, allowing operation over a range of frequencies independent of acoustic band gaps. These results are significant by indicating the potential of extending the proposed method from the microscale (e.g. tumor cells) to the nanoscale (e.g. bacteria) by scaling up the frequency without being limited by fabrication capabilities. We demonstrate the device's high degree of biocompatibility to illustrate the method's applicability in the biomedical field for applications such as basic biochemical analysis and in vitro diagnosis.
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Affiliation(s)
- Jingui Qian
- Department of Electrical Engineering, City University of Hong Kong, Hong Kong.
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15
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Gao Y, Fajrial AK, Yang T, Ding X. Emerging on-chip surface acoustic wave technology for small biomaterials manipulation and characterization. Biomater Sci 2021; 9:1574-1582. [PMID: 33283794 DOI: 10.1039/d0bm01269f] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A surface acoustic wave (SAW) is a sound wave travelling on the surface of an elastic material. SAW offers a robust control of the acoustic energy leading to an unparalleled versatility. As an actuator, SAW can exert acoustic forces on particles and fluids thus enabling dexterous micro/nanoscale manipulations. As a sensor, SAW has a unique sensing capability upon changes in the environment. On-chip SAW technology, in which SAW is integrated with modern lab-on-a-chip (LOC), has drawn a lot of attention in recent years and found various exciting applications in micro/nanosystems. In particular, its well-known biocompatibility provides on-chip SAW technology as an exceptional platform for biomaterials research at the small-scale. In this minireview, we highlighted recent advances of on-chip SAW technology for biomaterials manipulation and characterization with a focus on cell-based (e.g. single-cell and multicellular) biomaterials. We also discussed and shared our perspective on future directions for this emerging research field.
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Affiliation(s)
- Yu Gao
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA.
| | - Apresio K Fajrial
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA.
| | - Tao Yang
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA.
| | - Xiaoyun Ding
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA. and Biomedical Engineering Program, University of Colorado Boulder, Boulder, CO 80309, USA
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16
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Suzuki M, Minakuchi Y, Mizutani F, Yasukawa T. Discrimination of cell-differentiation using a cell-binding assay based on the conversion of cell-patterns with dielectrophoresis. Biosens Bioelectron 2021; 175:112892. [PMID: 33360628 DOI: 10.1016/j.bios.2020.112892] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/30/2020] [Accepted: 12/08/2020] [Indexed: 11/25/2022]
Abstract
We developed a simple, rapid, and label-free method to obtain the ratio of cells with a specific surface protein from heterogeneous cell populations, and applied it to estimate the cell differentiation states. The repulsive force of negative dielectrophoresis was used to form the first pattern of HL60 cells on a substrate immobilized with anti-CD13 or anti-CD11b antibody. Next, the patterned cells were converted to form the second pattern by switching the pattern of the electric field. The cells exhibiting a specific protein remained in the original position due to the immunorecognition event, while the unwanted cells that were not bound to the antibody on the substrates could be simply removed. The cell-binding efficiencies of substrates modified with anti-CD13 and anti-CD11b decreased and increased, respectively, with increasing duration of cell culture in medium containing differentiation-inducing agents, including all-trans retinoic acid. This is explained by the downregulation of CD13 and upregulation of CD11b throughout the differentiation process of HL60 cells. Furthermore, the assay was applied to investigate the effects of various differentiation-inducing agents. The total assay time required for discriminating the proteins expressed on the cell surface in each differentiation state was as short as 120 s. No fluorescence label is required for the proposed assay. The method could be useful to estimate the cell differentiation and factors that influence the differentiation trajectory for numerous cell types.
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Affiliation(s)
- Masato Suzuki
- Graduate School of Material Sciences, University of Hyogo, Japan
| | - Yuki Minakuchi
- Graduate School of Material Sciences, University of Hyogo, Japan
| | - Fumio Mizutani
- Graduate School of Material Sciences, University of Hyogo, Japan
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Ao Z, Cai H, Wu Z, Ott J, Wang H, Mackie K, Guo F. Controllable fusion of human brain organoids using acoustofluidics. LAB ON A CHIP 2021; 21:688-699. [PMID: 33514983 PMCID: PMC8464403 DOI: 10.1039/d0lc01141j] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
The fusion of human organoids holds promising potential in modeling physiological and pathological processes of tissue genesis and organogenesis. However, current fused organoid models face challenges of high heterogeneity and variable reproducibility, which may stem from the random fusion of heterogeneous organoids. Thus, we developed a simple and versatile acoustofluidic method to improve the standardization of fused organoid models via a controllable spatial arrangement of organoids. By regulating dynamic acoustic fields within a hexagonal acoustofluidic device, we can rotate, transport, and fuse one organoid with another in a contact-free, label-free, and minimal-impact manner. As a proof-of-concept to model the development of the human midbrain-to-forebrain mesocortical pathway, we acoustically fused human forebrain organoids (hFOs) and human midbrain organoids (hMOs) with the controllable alignment of neuroepithelial buds. We found that post-assembly, hMO can successfully project tyrosine hydroxylase neurons towards hFO, accompanied by an increase of firing rates and synchrony of excitatory neurons. Moreover, we found that our controllable fusion method can regulate neuron projection (e.g., range, length, and density), projection maturation (e.g., higher firing rate and synchrony), and neural progenitor cell (NPC) division in the assembloids via the initial spatial control. Thus, our acoustofluidic method may serve as a label-free, contact-free, and highly biocompatible tool to effectively assemble organoids and facilitate the standardization and robustness of organoid-based disease models and tissue engineering.
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Affiliation(s)
- Zheng Ao
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
| | - Hongwei Cai
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
| | - Zhuhao Wu
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
| | - Jonathan Ott
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
| | - Huiliang Wang
- Department of Biomedical Engineering, The University of Texas at Austin, TX 78712, USA
| | - Ken Mackie
- Gill Center for Biomolecular Science, Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA.
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18
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Hu X, Zhu J, Zuo Y, Yang D, Zhang J, Cheng Y, Yang Y. Versatile biomimetic array assembly by phase modulation of coherent acoustic waves. LAB ON A CHIP 2020; 20:3515-3523. [PMID: 32935708 DOI: 10.1039/d0lc00779j] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
A high-throughput cell-assembly method, with the advantages of adjustability, ease of operation, and good precision, is remarkable for artificial tissue engineering. Here, we present a scientific solution by introducing high rotational symmetrical coherent acoustic waves, in order to enable the shape and arrangement of the acoustic potential wells to be flexibly modulated, and therefore to assemble on a large area diverse biomimetic arrays on a microfluidic platform. Ring arrays, honeycomb, and many other biomimetic arrays are achieved by real-time modulation of the wave vectors and phase relation of acoustic beams from six directions. In the experiments, human umbilical vein endothelial cells (HUVECs), arranged in ring structures, tend to connect with the adjacent cells and reach confluency, thus directing the in vitro two-dimensional vascular network formation. Higher rotational symmetry of the six coherent acoustic waves provides much more flexibility and diversity for acoustic cell assembly. With the advantages of efficiency, diversity and adjustability, this acoustic chip is expected to fulfill many applications, such as in biochemistry, bioprinting and tissue engineering related research.
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Affiliation(s)
- Xuejia Hu
- School of Physics & Technology, Key Laboratory of Artificial Micro/Nano Structure of Ministry of Education, Wuhan University, Wuhan 430072, China.
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Cai H, Ao Z, Hu L, Moon Y, Wu Z, Lu HC, Kim J, Guo F. Acoustofluidic assembly of 3D neurospheroids to model Alzheimer's disease. Analyst 2020; 145:6243-6253. [PMID: 32840509 PMCID: PMC7530134 DOI: 10.1039/d0an01373k] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Neuroinflammation plays a central role in the progression of many neurodegenerative diseases such as Alzheimer's disease, and challenges remain in modeling the complex pathological or physiological processes. Here, we report an acoustofluidic method that can rapidly construct 3D neurospheroids and inflammatory microenvironments for modeling microglia-mediated neuroinflammation in Alzheimer's disease. By incorporating a unique contactless and label-free acoustic assembly, this cell culture platform can assemble dissociated embryonic mouse brain cells into hundreds of uniform 3D neurospheroids with controlled cell numbers, composition (e.g. neurons, astrocytes, and microglia), and environmental components (e.g. amyloid-β aggregates) in hydrogel within minutes. Moreover, this platform can maintain and monitor the interaction among neurons, astrocytes, microglia, and amyloid-β aggregates in real-time for several days to weeks, after the integration of a high-throughput, time-lapse cell imaging approach. We demonstrated that our engineered 3D neurospheroids can represent the amyloid-β neurotoxicity, which is one of the main pathological features of Alzheimer's disease. Using this method, we also investigated the microglia migratory behaviors and activation in the engineered 3D inflammatory microenvironment at a high throughput manner, which is not easy to achieve in 2D neuronal cultures or animal models. Along with the simple fabrication and setup, the acoustofluidic technology is compatible with conventional Petri dishes and well-plates, supports the fine-tuning of the cellular and environmental components of 3D neurospheroids, and enables the high-throughput cellular interaction investigation. We believe our technology may be widely used to facilitate 3D in vitro brain models for modeling neurodegenerative diseases, discovering new drugs, and testing neurotoxicity.
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Affiliation(s)
- Hongwei Cai
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, Indiana 47405, USA.
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