1
|
Zheng J, Fang J, Xu D, Liu H, Wei X, Qin C, Xue J, Gao Z, Hu N. Micronano Synergetic Three-Dimensional Bioelectronics: A Revolutionary Breakthrough Platform for Cardiac Electrophysiology. ACS NANO 2024; 18:15332-15357. [PMID: 38837178 DOI: 10.1021/acsnano.4c00052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Cardiovascular diseases (CVDs) are the leading cause of mortality and therefore pose a significant threat to human health. Cardiac electrophysiology plays a crucial role in the investigation and treatment of CVDs, including arrhythmia. The long-term and accurate detection of electrophysiological activity in cardiomyocytes is essential for advancing cardiology and pharmacology. Regarding the electrophysiological study of cardiac cells, many micronano bioelectric devices and systems have been developed. Such bioelectronic devices possess unique geometric structures of electrodes that enhance quality of electrophysiological signal recording. Though planar multielectrode/multitransistors are widely used for simultaneous multichannel measurement of cell electrophysiological signals, their use for extracellular electrophysiological recording exhibits low signal strength and quality. However, the integration of three-dimensional (3D) multielectrode/multitransistor arrays that use advanced penetration strategies can achieve high-quality intracellular signal recording. This review provides an overview of the manufacturing, geometric structure, and penetration paradigms of 3D micronano devices, as well as their applications for precise drug screening and biomimetic disease modeling. Furthermore, this review also summarizes the current challenges and outlines future directions for the preparation and application of micronano bioelectronic devices, with an aim to promote the development of intracellular electrophysiological platforms and thereby meet the demands of emerging clinical applications.
Collapse
Affiliation(s)
- Jilin Zheng
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China
| | - Jiaru Fang
- School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Dongxin Xu
- School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Haitao Liu
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
| | - Xinwei Wei
- Key Laboratory of Advanced Drug Delivery Systems of Zhejiang Province, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Chunlian Qin
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
| | - Jiajin Xue
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
| | - Zhigang Gao
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
| | - Ning Hu
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
| |
Collapse
|
2
|
Kanade PP, Oyunbaatar NE, Kim J, Lee BK, Kim ES, Lee DW. Cardiotoxicity Assessment through a Polymer-Based Cantilever Platform: An Integrated Electro-Mechanical Screening Approach. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2311274. [PMID: 38511575 DOI: 10.1002/smll.202311274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 03/08/2024] [Indexed: 03/22/2024]
Abstract
Preclinical drug screening for cardiac toxicity has traditionally relied on observing changes in cardiomyocytes' electrical activity, primarily through invasive patch clamp techniques or non-invasive microelectrode arrays (MEA). However, relying solely on field potential duration (FPD) measurements for electrophysiological assessment can miss the full spectrum of drug-induced toxicity, as different drugs affect cardiomyocytes through various mechanisms. A more comprehensive approach, combining field potential and contractility measurements, is essential for accurate toxicity profiling, particularly for drugs targeting contractile proteins without affecting electrophysiology. However, previously proposed platform has significant limitations in terms of simultaneous measurement. The novel platform addresses these issues, offering enhanced, non-invasive evaluation of drug-induced cardiotoxicity. It features eight cantilevers with patterned strain sensors and MEA, enabling real-time monitoring of both cardiomyocyte contraction force and field potential. This system can detect minimum cardiac contraction force of ≈2 µN and field potential signals with 50 µm MEA diameter, using the same cardiomyocytes in measurements of two parameters. Testing with six drugs of varied mechanisms of action, the platform successfully identifies these mechanisms and accurately assesses toxicity profiles, including drugs not inhibiting potassium channels. This innovative approach presents a comprehensive, non-invasive method for cardiac function assessment, poised to revolutionize preclinical cardiotoxicity screening.
Collapse
Affiliation(s)
- Pooja P Kanade
- School of Mechanical Engineering, Chonnam National University, Gwangju, 61186, South Korea
- Advanced Medical Device Research Center for Cardiovascular Disease, Chonnam National University, Gwangju, 61186, Republic of Korea
| | - Nomin-Erdene Oyunbaatar
- School of Mechanical Engineering, Chonnam National University, Gwangju, 61186, South Korea
- Advanced Medical Device Research Center for Cardiovascular Disease, Chonnam National University, Gwangju, 61186, Republic of Korea
| | - Jongyun Kim
- School of Mechanical Engineering, Chonnam National University, Gwangju, 61186, South Korea
- Advanced Medical Device Research Center for Cardiovascular Disease, Chonnam National University, Gwangju, 61186, Republic of Korea
| | - Bong-Kee Lee
- School of Mechanical Engineering, Chonnam National University, Gwangju, 61186, South Korea
| | - Eung-Sam Kim
- Department of Biological Sciences, Chonnam National University, Gwangju, 61186, Republic of Korea
| | - Dong-Weon Lee
- School of Mechanical Engineering, Chonnam National University, Gwangju, 61186, South Korea
- Advanced Medical Device Research Center for Cardiovascular Disease, Chonnam National University, Gwangju, 61186, Republic of Korea
- Center for Next-Generation Sensor Research and Development, Chonnam National University, Gwangju, 61186, Republic of Korea
| |
Collapse
|
3
|
Zhu K, Yan T, Qin C, Pan Y, Li J, Lai H, Xu D, Wang C, Hu N. Three-Dimensional Cardiomyocyte-Nanobiosensing System for Specific Recognition of Drug Subgroups. ACS Sens 2023; 8:2197-2206. [PMID: 37303111 DOI: 10.1021/acssensors.3c00070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Abnormal cardiac electrophysiological activities significantly contribute to the incidence of cardiovascular diseases. Therefore, it is crucial to recognize effective drugs, which require an accurate, stable, and sensitive platform. Although conventional extracellular recordings offer a non-invasive and label-free manner to monitor the electrophysiological state of cardiomyocytes, the misrepresented and low-quality extracellular action potentials are difficult to provide accurate and high-content information for drug screening. This study presents the development of a three-dimensional cardiomyocyte-nanobiosensing system that can specifically recognize drug subgroups. The nanopillar-based electrode is manufactured by template synthesis and standard microfabrication technology on a porous polyethylene terephthalate membrane. Based on the cardiomyocyte-nanopillar interface, high-quality intracellular action potentials can be recorded by the minimally invasive electroporation. We validate the performance of a cardiomyocyte-nanopillar-based intracellular electrophysiological biosensing platform by two subclasses of sodium channel blockers, quinidine and lidocaine. The recorded intracellular action potentials accurately reveal the subtle differences between these drugs. Our study indicates that high-content intracellular recordings utilizing nanopillar-based biosensing can provide a promising platform for the electrophysiological and pharmacological investigation of cardiovascular diseases.
Collapse
Affiliation(s)
- Kai Zhu
- Department of Cardiac Surgery and Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Tao Yan
- Department of Cardiac Surgery and Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Chunlian Qin
- Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, China
| | - Yuxiang Pan
- Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, China
| | - Jun Li
- Department of Cardiac Surgery and Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Hao Lai
- Department of Cardiac Surgery and Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Chunsheng Wang
- Department of Cardiac Surgery and Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Ning Hu
- Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, China
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai 200050, China
| |
Collapse
|
4
|
Kanade PP, Oyunbaatar NE, Shanmugasundaram A, Jeong YJ, Kim ES, Lee BK, Lee DW. MEA-integrated cantilever platform for comparison of real-time change in electrophysiology and contractility of cardiomyocytes to drugs. Biosens Bioelectron 2022; 216:114675. [DOI: 10.1016/j.bios.2022.114675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 08/12/2022] [Accepted: 08/28/2022] [Indexed: 11/02/2022]
|
5
|
Xu D, Xiao H, Wang S, Li H, Chen HJ, Liu C, Hu N. Universal and Sensitive Drug Assessment Biosensing Platform Using Optimal Mechanical Beating Detection of Single Cardiomyocyte. ACS NANO 2022; 16:15484-15494. [PMID: 36094397 DOI: 10.1021/acsnano.2c08049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The preclinical assessment of efficacy and safety is essential for cardiovascular drug development in order to guarantee effective prevention and treatment of cardiovascular disease and avoid human health endangerment and a huge waste of resources. Rhythmic mechanical beating as one of the crucial cardiomyocyte properties has been exploited to establish a drug assessment biosensing platform. However, the conventional label-free biosensing platforms are difficult to perform high-throughput and high-resolution mechanical beating detection for a single cardiomyocyte, while label-based strategies are limited by pharmacologically adverse effects and phototoxicity. Herein, we propose a biosensing platform involving the multichannel electrode array device and the universal mechanical beating detection system. The platform can determine the optimal characteristic working frequency of different devices and dynamically interrogate the viability of multisite single cardiomyocytes to establish the optimized cell-based model for sensitive drug assessment. The subtle changes of mechanical beating signals induced by cardiovascular drugs can be detected by the platform, thereby demonstrating its high performance in pharmacological assessment. The universal and sensitive drug assessment biosensing platform is believed to be widely applied in cardiology investigating and preclinical drug screening.
Collapse
Affiliation(s)
- Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Hongbo Xiao
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Shuzhe Wang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Hongbo Li
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Hui-Jiuan Chen
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Chuan Liu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
- Stoddart Institute of Molecular Science, Department of Chemistry, Zhejiang University, Hangzhou 310027, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai 200050, China
| |
Collapse
|
6
|
Electromechanical integrated recording of single cardiomyocyte in situ by multimodal microelectrode biosensing system. Biosens Bioelectron 2022; 212:114387. [DOI: 10.1016/j.bios.2022.114387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 04/15/2022] [Accepted: 05/15/2022] [Indexed: 11/22/2022]
|
7
|
Ouyang Q, Yang W, Wu Y, Xu Z, Hu Y, Hu N, Zhang D. Multi-labeled neural network model for automatically processing cardiomyocyte mechanical beating signals in drug assessment. Biosens Bioelectron 2022; 209:114261. [DOI: 10.1016/j.bios.2022.114261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/09/2022] [Accepted: 04/05/2022] [Indexed: 11/16/2022]
|
8
|
Wireless portable bioelectronic nose device for multiplex monitoring toward food freshness/spoilage. Biosens Bioelectron 2022; 215:114551. [PMID: 35839622 DOI: 10.1016/j.bios.2022.114551] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 06/22/2022] [Accepted: 07/05/2022] [Indexed: 01/07/2023]
Abstract
Monitoring food freshness/spoilage is important to ensure food quality and safety. Current methods of food quality monitoring are mostly time-consuming and labor intensive processes that require massive analytical equipment. In this study, we developed a portable bioelectronic nose (BE-nose) integrated with trace amine-associated receptor (TAAR) nanodiscs (NDs), allowing food quality monitoring via the detection of food spoilage indicators, including the biogenic amines cadaverine (CV) and putrescine (PT). The olfactory receptors TAAR13c and TAAR13d, which have specific affinities for CV and PT, were produced and successfully reconstituted in ND structures. TAAR13 NDs BE-nose-based side-gated field-effect transistor (SG-FET) system was constructed by utilizing a graphene micropattern (GM) into which two types of olfactory NDs (TAAR13c ND and TAAR13d ND) were introduced, and this system showed ultrahigh sensitivity for a limit of detection (LOD) of 1 fM for CV and PT. Moreover, the binding affinities between the TAAR13 NDs and the indicators were confirmed by a tryptophan fluorescence quenching assay and biosimulations, in which the specific binding site was confirmed. Gas-phase indicators were detected by the TAAR13 NDs BE-nose platform, and the LODs for CV and PT were confirmed to be 26.48 and 7.29 ppb, respectively. In addition, TAAR13 NDs BE-nose was fabricated with commercial gas sensors as a portable platform for the measurement of NH3 and H2S, multiplexed monitoring was achieved with similar performance, and the change ratio of the indicators was observed in a real sample. The integration of commercial gas sensors on a BE-nose enhanced the accuracy and reliability for the quality monitoring of real food samples. These results indicate that the portable TAAR13 NDs BE-nose can be used to monitor CV and PT over a wide range of concentrations, therefore, the electronic nose platform can be utilized for monitoring the freshness/spoilage step in various foods.
Collapse
|
9
|
Xiang Y, Liu H, Yang W, Xu Z, Wu Y, Tang Z, Zhu Z, Zeng Z, Wang D, Wang T, Hu N, Zhang D. A biosensing system employing nanowell microelectrode arrays to record the intracellular potential of a single cardiomyocyte. MICROSYSTEMS & NANOENGINEERING 2022; 8:70. [PMID: 35774495 PMCID: PMC9237042 DOI: 10.1038/s41378-022-00408-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/24/2022] [Accepted: 05/22/2022] [Indexed: 06/15/2023]
Abstract
Electrophysiological recording is a widely used method to investigate cardiovascular pathology, pharmacology and developmental biology. Microelectrode arrays record the electrical potential of cells in a minimally invasive and high-throughput way. However, commonly used microelectrode arrays primarily employ planar microelectrodes and cannot work in applications that require a recording of the intracellular action potential of a single cell. In this study, we proposed a novel measuring method that is able to record the intracellular action potential of a single cardiomyocyte by using a nanowell patterned microelectrode array (NWMEA). The NWMEA consists of five nanoscale wells at the center of each circular planar microelectrode. Biphasic pulse electroporation was applied to the NWMEA to penetrate the cardiomyocyte membrane, and the intracellular action potential was continuously recorded. The intracellular potential recording of cardiomyocytes by the NWMEA measured a potential signal with a higher quality (213.76 ± 25.85%), reduced noise root-mean-square (~33%), and higher signal-to-noise ratio (254.36 ± 12.61%) when compared to those of the extracellular recording. Compared to previously reported nanopillar microelectrodes, the NWMEA could ensure single cell electroporation and acquire high-quality action potential of cardiomyocytes with reduced fabrication processes. This NWMEA-based biosensing system is a promising tool to record the intracellular action potential of a single cell to broaden the usage of microelectrode arrays in electrophysiological investigation.
Collapse
Affiliation(s)
- Yuting Xiang
- Department of Obstetrics and Gynecology, Affiliated Dongguan People’s Hospital, Southern Medical University, Dongguan, 523058 China
| | - Haitao Liu
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100 China
- Research Center for Humanoid Sensing, Zhejiang Laboratory, Hangzhou, 311100 China
| | - Wenjian Yang
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100 China
| | - Zhongyuan Xu
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100 China
| | - Yue Wu
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100 China
| | - Zhaojian Tang
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100 China
| | - Zhijing Zhu
- Key Laboratory of Novel Target and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, School of Computer & Computing Science, Zhejiang University City College, Hangzhou, 310015 China
- School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, 310058 China
| | - Zhiyong Zeng
- School of Automation, Nanjing University of Science and Technology, Nanjing, 210094 China
| | - Depeng Wang
- College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016 China
| | - Tianxing Wang
- E-LinkCare Meditech Co., Ltd, Hangzhou, 310011 China
| | - Ning Hu
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Department of Chemistry, Zhejiang University, Hangzhou, 310058 China
| | - Diming Zhang
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100 China
| |
Collapse
|
10
|
Wang H, Wu Y, Zou Q, Yang W, Xu Z, Dong H, Zhu Z, Wang D, Wang T, Hu N, Zhang D. A biosensing system using a multiparameter nonlinear dynamic analysis of cardiomyocyte beating for drug-induced arrhythmia recognition. MICROSYSTEMS & NANOENGINEERING 2022; 8:49. [PMID: 35547605 PMCID: PMC9081091 DOI: 10.1038/s41378-022-00383-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 03/14/2022] [Accepted: 04/07/2022] [Indexed: 06/15/2023]
Abstract
Cardiovascular disease is the number one cause of death in humans. Therefore, cardiotoxicity is one of the most important adverse effects assessed by arrhythmia recognition in drug development. Recently, cell-based techniques developed for arrhythmia recognition primarily employ linear methods such as time-domain analysis that detect and compare individual waveforms and thus fall short in some applications that require automated and efficient arrhythmia recognition from large datasets. We carried out the first report to develop a biosensing system that integrated impedance measurement and multiparameter nonlinear dynamic algorithm (MNDA) analysis for drug-induced arrhythmia recognition and classification. The biosensing system cultured cardiomyocytes as physiologically relevant models, used interdigitated electrodes to detect the mechanical beating of the cardiomyocytes, and employed MNDA analysis to recognize drug-induced arrhythmia from the cardiomyocyte beating recording. The best performing MNDA parameter, approximate entropy, enabled the system to recognize the appearance of sertindole- and norepinephrine-induced arrhythmia in the recording. The MNDA reconstruction in phase space enabled the system to classify the different arrhythmias and quantify the severity of arrhythmia. This new biosensing system utilizing MNDA provides a promising and alternative method for drug-induced arrhythmia recognition and classification in cardiological and pharmaceutical applications.
Collapse
Affiliation(s)
- Hao Wang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Yue Wu
- Research Center for Intelligent Sensing Systems, Zhejiang Lab, Hangzhou, 311121 China
| | - Quchao Zou
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Department of Chemistry, The Second Affiliated Hospital Zhejiang University School of Medicine, Department of Clinical Medical Engineering, Zhejiang University, Hangzhou, 310058 China
| | - Wenjian Yang
- Research Center for Intelligent Sensing Systems, Zhejiang Lab, Hangzhou, 311121 China
| | - Zhongyuan Xu
- Research Center for Intelligent Sensing Systems, Zhejiang Lab, Hangzhou, 311121 China
| | - Hao Dong
- Research Center for Intelligent Sensing Systems, Zhejiang Lab, Hangzhou, 311121 China
| | - Zhijing Zhu
- Key Laboratory of Novel Target and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, School of Computer & Computing Science, Zhejiang University City College, Hangzhou, 310015 China
- School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, 310058 China
| | - Depeng Wang
- College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016 China
| | - Tianxing Wang
- E-LinkCare Meditech Co., Ltd., Hangzhou, 310011 China
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006 China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Department of Chemistry, The Second Affiliated Hospital Zhejiang University School of Medicine, Department of Clinical Medical Engineering, Zhejiang University, Hangzhou, 310058 China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050 China
| | - Diming Zhang
- Research Center for Intelligent Sensing Systems, Zhejiang Lab, Hangzhou, 311121 China
| |
Collapse
|
11
|
Zhang M, Xu D, Fang J, Li H, Li Y, Liu C, Cao N, Hu N. A dynamic and quantitative biosensing assessment for electroporated membrane evolution of cardiomyocytes. Biosens Bioelectron 2022; 202:114016. [DOI: 10.1016/j.bios.2022.114016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/20/2021] [Accepted: 01/15/2022] [Indexed: 11/26/2022]
|
12
|
Fang J, Liu D, Xu D, Wu Q, Li H, Li Y, Hu N. Integrated Au-Nanoroded Biosensing and Regulating Platform for Photothermal Therapy of Bradyarrhythmia. Research (Wash D C) 2022; 2022:9854342. [PMID: 35233537 PMCID: PMC8848336 DOI: 10.34133/2022/9854342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 01/18/2022] [Indexed: 12/02/2022] Open
Abstract
Bradyarrhythmia is a kind of cardiovascular disease caused by dysregulation of cardiomyocytes, which seriously threatens human life. Currently, treatment strategies of bradyarrhythmia mainly include drug therapy, surgery, or implantable cardioverter defibrillators, but these strategies are limited by drug side effect, surgical trauma, and instability of implanted devices. Here, we developed an integrated Au-nanoroded biosensing and regulating platform to investigate the photothermal therapy of cardiac bradyarrhythmia in vitro. Au-nanoroded electrode array can simultaneously accumulate energy from the photothermal regulation and monitor the electrophsiological state to restore normal rhythm of cardiomyocytes in real time. To treat the cardiomyocytes cultured on Au-nanoroded device by near-infrared (NIR) laser irradiation, cardiomyocytes return to normal for long term after irradiation of suitable NIR energy and maintenance. Compared with the conventional strategies, the photothermal strategy is more effective and convenient to regulate the cardiomyocytes. Furthermore, mRNA sequencing shows that the differential expression genes in cardiomyocytes are significantly increased after photothermal strategy, which are involved in the regulation of the heart rate, cardiac conduction, and ion transport. This work establishes a promising integrated biosensing and regulating platform for photothermal therapy of bradyarrhythmia in vitro and provides reliable evidence of photothermal regulation on cardiomyocytes for cardiological clinical studies.
Collapse
Affiliation(s)
- Jiaru Fang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China.,Stoddart Institute of Molecular Science, Department of Chemistry, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China
| | - Dong Liu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China
| | - Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China
| | - Qianni Wu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China
| | - Hongbo Li
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China
| | - Ying Li
- Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, Shenzhen 518107, China
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China.,Stoddart Institute of Molecular Science, Department of Chemistry, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China.,State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai 200050, China
| |
Collapse
|
13
|
Dou W, Malhi M, Zhao Q, Wang L, Huang Z, Law J, Liu N, Simmons CA, Maynes JT, Sun Y. Microengineered platforms for characterizing the contractile function of in vitro cardiac models. MICROSYSTEMS & NANOENGINEERING 2022; 8:26. [PMID: 35299653 PMCID: PMC8882466 DOI: 10.1038/s41378-021-00344-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/12/2021] [Accepted: 12/03/2021] [Indexed: 05/08/2023]
Abstract
Emerging heart-on-a-chip platforms are promising approaches to establish cardiac cell/tissue models in vitro for research on cardiac physiology, disease modeling and drug cardiotoxicity as well as for therapeutic discovery. Challenges still exist in obtaining the complete capability of in situ sensing to fully evaluate the complex functional properties of cardiac cell/tissue models. Changes to contractile strength (contractility) and beating regularity (rhythm) are particularly important to generate accurate, predictive models. Developing new platforms and technologies to assess the contractile functions of in vitro cardiac models is essential to provide information on cell/tissue physiologies, drug-induced inotropic responses, and the mechanisms of cardiac diseases. In this review, we discuss recent advances in biosensing platforms for the measurement of contractile functions of in vitro cardiac models, including single cardiomyocytes, 2D monolayers of cardiomyocytes, and 3D cardiac tissues. The characteristics and performance of current platforms are reviewed in terms of sensing principles, measured parameters, performance, cell sources, cell/tissue model configurations, advantages, and limitations. In addition, we highlight applications of these platforms and relevant discoveries in fundamental investigations, drug testing, and disease modeling. Furthermore, challenges and future outlooks of heart-on-a-chip platforms for in vitro measurement of cardiac functional properties are discussed.
Collapse
Affiliation(s)
- Wenkun Dou
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, ON M5G 1X8 Canada
| | - Manpreet Malhi
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, ON M5G 1X8 Canada
- Department of Biochemistry, University of Toronto, Toronto, ON M5S 1A8 Canada
| | - Qili Zhao
- Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, 300350 China
| | - Li Wang
- School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 China
| | - Zongjie Huang
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada
| | - Junhui Law
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada
| | - Na Liu
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444 China
| | - Craig A. Simmons
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9 Canada
- Translational Biology & Engineering Program, Ted Rogers Centre for Heart Research, Toronto, ON M5G 1M1 Canada
| | - Jason T. Maynes
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, ON M5G 1X8 Canada
- Department of Biochemistry, University of Toronto, Toronto, ON M5S 1A8 Canada
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON M5S 1A8 Canada
- Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, ON M5G 1X8 Canada
| | - Yu Sun
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9 Canada
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4 Canada
- Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1 Canada
| |
Collapse
|
14
|
Xu D, Fang J, Yadid M, Zhang M, Wang H, Xia Q, Li H, Cao N, Dvir T, Hu N. A universal, multimodal cell-based biosensing platform for optimal intracellular action potential recording. Biosens Bioelectron 2022; 206:114122. [PMID: 35245868 DOI: 10.1016/j.bios.2022.114122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/16/2022] [Accepted: 02/20/2022] [Indexed: 11/16/2022]
Abstract
Intracellular recording of action potentials is an essential mean for studying disease mechanisms, and for electrophysiological studies, particularly in excitable cells as cardiomyocytes or neurons. Current strategies to obtain intracellular recordings include three-dimensional (3D) nanoelectrodes that can effectively penetrate the cell membrane and achieve high-quality intracellular recordings in a minimally invasive manner, or transient electroporation of the membrane that can yield temporary intracellular access. However, the former strategy requires a complicated and costly fabrication process, and the latter strategy suffers from high dependency on the method of application of electroporation, yielding inconsistent, suboptimal recordings. These factors hinder the high throughput use of these strategies in electrophysiological studies. In this work, we propose an advanced cell-based biosensing platform that relies on electroporation to produce consistent, high-quality intracellular recordings. The suggested universal system can be integrated with any electrode array, and it enables tunable electroporation with controllable pulse parameters, while the recorded potentials can be analyzed in real time to provide instantaneous feedback on the electroporation effectiveness. This integrated system enables the user to perform electroporation, record and assess the obtained signals in a facile manner, to ultimately achieve stable, reliable, intracellular recording. Moreover, the proposed platform relies on microelectrode arrays which are suited for large-scale production, and additional modules that are low-cost. Using this platform, we demonstrate the tuning of electroporation pulse width, pulse number, and amplitude, to achieve effective electroporation and high-quality intracellular recordings. This integrated platform has the potential to enable larger scale, repeatable, convenient, and low-cost electrophysiological studies.
Collapse
Affiliation(s)
- Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Jiaru Fang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Moran Yadid
- Shmunis School of Biomedicine and Cancer Research, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Mingyue Zhang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Hao Wang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Qijian Xia
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Hongbo Li
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Nan Cao
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Tal Dvir
- Shmunis School of Biomedicine and Cancer Research, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel; The Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv, 6997801, Israel; Sagol Center for Regenerative Biotechnology, Tel Aviv University, Tel Aviv, 6997801, Israel; The Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, 6997801, Tel Aviv, Israel
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China; State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
| |
Collapse
|
15
|
Wei X, Jiang D, Chen C, Wu J, Qin C, Yuan Q, Xue Y, Xiong Y, Zhuang L, Hu N, Wang P. Hybrid Integrated Cardiomyocyte Biosensors for Bitter Detection and Cardiotoxicity Assessment. ACS Sens 2021; 6:2593-2604. [PMID: 34253023 DOI: 10.1021/acssensors.1c00158] [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] [Indexed: 12/12/2022]
Abstract
Among basic taste sensations, bitter taste is vital to the survival of mammals due to its indispensable role in toxin prediction or identification, so the identification of bitter compounds is of great value in the pharmaceutical and food industry. Recently, bitter taste receptor (T2Rs)-based biosensors have been developed for specific bitter detection. However, the taste biosensors based on taste cells/tissues suffer from simple function, low sensitivity, low content, and limited parameters. Here, to establish a high-content, highly sensitive, and multifunctional taste biosensor, we developed a multifunctional hybrid integrated cardiomyocyte biosensor (HICB) for bitter detection. Due to the expression of bitter taste receptors in cardiomyocytes, the HICB can recognize the specific bitter agonists by synchronously recording the extracellular field potential (EFP) and mechanical beating (MB) signals from the cultured cardiomyocytes in vitro. Multiple feature parameters were defined and extracted from the electromechanical signals of cardiomyocytes to analyze the specific responses to four typical bitter compounds. The radar map, heat map, and principal component analysis (PCA) were used to visualize and classify the specific responses. Moreover, bitter-induced cardiotoxicity also was chronically evaluated, and these bitter compounds presented an inhibition effect on the electrophysiological and contractile activities of cardiomyocytes. This high-content HICB offers an alternative platform for both bitter detection and cardiotoxicity assessment, showing promising applications in the fields of taste detection and toxicity screening.
Collapse
Affiliation(s)
- Xinwei Wei
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Deming Jiang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Changming Chen
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Jianguo Wu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Chunlian Qin
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Qunchen Yuan
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Yingying Xue
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Yizhou Xiong
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Liujing Zhuang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Ping Wang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| |
Collapse
|
16
|
Xu D, Fang J, Zhang M, Wang H, Zhang T, Hang T, Xie X, Hu N. Synchronized intracellular and extracellular recording of action potentials by three-dimensional nanoroded electroporation. Biosens Bioelectron 2021; 192:113501. [PMID: 34273736 DOI: 10.1016/j.bios.2021.113501] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 06/26/2021] [Accepted: 07/10/2021] [Indexed: 01/08/2023]
Abstract
Electrophysiological study is an essential and significant strategy to explore the biological mechanism of electrogenic cells. Current advanced nanodevices can achieve the high-fidelity intracellular electrophysiological recordings, and most of detection systems record the extracellular and intracellular action potentials (EAPs and IAPs) in an asynchronous or isolated manner, so it is demanded to develop the platform to reveal correlation between EAP and IAP recording. Here, we establish a utility strategy to achieve synchronized intracellular and extracellular recording of neonatal rat cardiomyocytes by low-voltage three-dimensional (3D) nanoroded electroporation. By integrating the advantages of nanodevice and microdevice, 3D nanoroded microdevice is developed to achieve the high-throughput large-scale synchronous intracellular and extracellular electrophysiological study. By applying low-voltage electroporation, intracellular and extracellular signals can be synchronously acquired from intracellular access and extracellular coupling, respectively. Recorded synchronized signals contain both typical EAPs and IAPs, which have good synchronicity in spatiotemporal dimensions at each recording site. Moreover, correlation between both signals is further bridged in experimental and simulated way. This intracellular electrophysiological platform presents unique advantages over the conventional system to achieve the synchronized intracellular and extracellular electrophysiological study at membrane voltage level.
Collapse
Affiliation(s)
- Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China; State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Jiaru Fang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Mingyue Zhang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Hao Wang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Tao Zhang
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510006, China
| | - Tian Hang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Xi Xie
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China; State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
| |
Collapse
|
17
|
Fang J, Wei X, Li H, Hu N, Liu X, Xu D, Zhang T, Wan H, Wang P, Xie X. Cardiomyocyte electrical-mechanical synchronized model for high-content, dose-quantitative and time-dependent drug assessment. MICROSYSTEMS & NANOENGINEERING 2021; 7:26. [PMID: 34567740 PMCID: PMC8433219 DOI: 10.1038/s41378-021-00247-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 01/13/2021] [Accepted: 01/31/2021] [Indexed: 05/16/2023]
Abstract
Cardiovascular diseases have emerged as a significant threat to human health. However, drug development is a time-consuming and costly process, and few drugs pass the preclinical assessment of safety and efficacy. The existing patch-clamp, Ca2+ imaging, and microelectrode array technologies in cardiomyocyte models for drug preclinical screening have suffered from issues of low throughput, limited long-term assessment, or inability to synchronously and correlatively analyze electrical and mechanical signals. Here, we develop a high-content, dose-quantitative and time-dependent drug assessment platform based on an electrical-mechanical synchronized (EMS) biosensing system. This microfabricated EMS can record both firing potential (FP) and mechanical beating (MB) signals from cardiomyocytes and extract a variety of characteristic parameters from these two signals (FP-MB) for further analysis. This system was applied to test typical ion channel drugs (lidocaine and isradipine), and the dynamic responses of cardiomyocytes to the tested drugs were recorded and analyzed. The high-throughput characteristics of the system can facilitate simultaneous experiments on a large number of samples. Furthermore, a database of various cardiac drugs can be established by heat map analysis for rapid and effective screening of drugs. The EMS biosensing system is highly promising as a powerful tool for the preclinical development of new medicines.
Collapse
Affiliation(s)
- Jiaru Fang
- The First Affiliated Hospital of Sun Yat-Sen University; School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Xinwei Wei
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027 China
| | - Hongbo Li
- The First Affiliated Hospital of Sun Yat-Sen University; School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Ning Hu
- The First Affiliated Hospital of Sun Yat-Sen University; School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050 China
| | - Xingxing Liu
- The First Affiliated Hospital of Sun Yat-Sen University; School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Dongxin Xu
- The First Affiliated Hospital of Sun Yat-Sen University; School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Tao Zhang
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510006 China
| | - Hao Wan
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027 China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050 China
| | - Ping Wang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027 China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050 China
| | - Xi Xie
- The First Affiliated Hospital of Sun Yat-Sen University; School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| |
Collapse
|
18
|
Wang H, Li H, Wei X, Zhang T, Xiang Y, Fang J, Wu P, Xie X, Wang P, Hu N. Recognition of high-specificity hERG K+ channel inhibitor-induced arrhythmia in cardiomyocytes by automated template matching. MICROSYSTEMS & NANOENGINEERING 2021; 7:24. [PMID: 34567738 PMCID: PMC8433465 DOI: 10.1038/s41378-021-00251-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 01/15/2021] [Accepted: 02/04/2021] [Indexed: 05/11/2023]
Abstract
Cardiovascular disease (CVD) is the number one cause of death in humans. Arrhythmia induced by gene mutations, heart disease, or hERG K+ channel inhibitors is a serious CVD that can lead to sudden death or heart failure. Conventional cardiomyocyte-based biosensors can record extracellular potentials and mechanical beating signals. However, parameter extraction and examination by the naked eye are the traditional methods for analyzing arrhythmic beats, and it is difficult to achieve automated and efficient arrhythmic recognition with these methods. In this work, we developed a unique automated template matching (ATM) cardiomyocyte beating model to achieve arrhythmic recognition at the single beat level with an interdigitated electrode impedance detection system. The ATM model was established based on a rhythmic template with a data length that was dynamically adjusted to match the data length of the target beat by spline interpolation. The performance of the ATM model under long-term astemizole, droperidol, and sertindole treatment at different doses was determined. The results indicated that the ATM model based on a random rhythmic template of a signal segment obtained after astemizole treatment presented a higher recognition accuracy (100% for astemizole treatment and 99.14% for droperidol and sertindole treatment) than the ATM model based on arrhythmic multitemplates. We believe this highly specific ATM method based on a cardiomyocyte beating model has the potential to be used for arrhythmia screening in the fields of cardiology and pharmacology.
Collapse
Affiliation(s)
- Hao Wang
- The First Affiliated Hospital of Sun Yat-sen University, School of Electronics and Information Technology, State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Hongbo Li
- The First Affiliated Hospital of Sun Yat-sen University, School of Electronics and Information Technology, State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Xinwei Wei
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027 China
| | - Tao Zhang
- The First Affiliated Hospital of Sun Yat-sen University, School of Electronics and Information Technology, State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Yuting Xiang
- The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510655 China
| | - Jiaru Fang
- The First Affiliated Hospital of Sun Yat-sen University, School of Electronics and Information Technology, State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Peiran Wu
- The First Affiliated Hospital of Sun Yat-sen University, School of Electronics and Information Technology, State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Xi Xie
- The First Affiliated Hospital of Sun Yat-sen University, School of Electronics and Information Technology, State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
| | - Ping Wang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027 China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050 China
| | - Ning Hu
- The First Affiliated Hospital of Sun Yat-sen University, School of Electronics and Information Technology, State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou, 510006 China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050 China
| |
Collapse
|
19
|
Wei X, Zhuang L, Li H, He C, Wan H, Hu N, Wang P. Advances in Multidimensional Cardiac Biosensing Technologies: From Electrophysiology to Mechanical Motion and Contractile Force. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2020; 16:e2005828. [PMID: 33230867 DOI: 10.1002/smll.202005828] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Indexed: 06/11/2023]
Abstract
Cardiovascular disease is currently a leading killer to human, while drug-induced cardiotoxicity remains the main cause of the withdrawal and attrition of drugs. Taking clinical correlation and throughput into account, cardiomyocyte is perfect as in vitro cardiac model for heart disease modeling, drug discovery, and cardiotoxicity assessment by accurately measuring the physiological multiparameters of cardiomyocytes. Remarkably, cardiomyocytes present both electrophysiological and biomechanical characteristics due to the unique excitation-contraction coupling, which plays a significant role in studying the cardiomyocytes. This review mainly focuses on the recent advances of biosensing technologies for the 2D and 3D cardiac models with three special properties: electrophysiology, mechanical motion, and contractile force. These high-performance multidimensional cardiac models are popular and effective to rebuild and mimic the heart in vitro. To help understand the high-quality and accurate physiologies, related detection techniques are highly demanded, from microtechnology to nanotechnology, from extracellular to intracellular recording, from multiple cells to single cell, and from planar to 3D models. Furthermore, the characteristics, advantages, limitations, and applications of these cardiac biosensing technologies, as well as the future development prospects should contribute to the systematization and expansion of knowledge.
Collapse
Affiliation(s)
- Xinwei Wei
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, 310027, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Liujing Zhuang
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, 310027, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Hongbo Li
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Chuanjiang He
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, 310027, China
| | - Hao Wan
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, 310027, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Ping Wang
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, 310027, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| |
Collapse
|
20
|
Intracellular recording of cardiomyocyte action potentials by nanobranched microelectrode array. Biosens Bioelectron 2020; 169:112588. [DOI: 10.1016/j.bios.2020.112588] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 08/30/2020] [Accepted: 09/01/2020] [Indexed: 02/08/2023]
|