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Chen C, Porter R, Zhou X, Snozek CL, Yang EH, Wang S. Microfluidic Digital Immunoassay for Point-of-Care Detection of NT-proBNP from Whole Blood. Anal Chem 2024; 96:10569-10576. [PMID: 38877973 DOI: 10.1021/acs.analchem.4c01046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2024]
Abstract
The high prevalence and economic burden of heart failure remain a challenge to global health. This lifelong disease leads to a buildup of permanent heart damage, making early detection and frequent monitoring crucial for effective treatment. N-terminal proBNP (NT-proBNP) is an important biomarker for monitoring the disease state, but current commercial and research NT-proBNP assays require phlebotomy and bulky equipment or do not satisfy clinical requirements such as sensitivity and detection thresholds. Here, we report a point-of-care (POC) compatible microfluidic digital immunoassay that can quantify the NT-proBNP concentration in a small volume of whole blood. Our automated microfluidic device takes whole blood samples mixed with biotinylated detection antibodies and passes through a plasma filter to react with a capture antibody-functionalized sensor surface. Streptavidin-coated gold nanoparticles (GNPs) are then released to mark the surface-bound single NT-proBNP immunocomplexes and recorded with bright-field microscopy. NT-proBNP concentrations in the sample are quantified via a hybrid digital/analog calibration curve. Digital counts of bound GNPs are used as readout signal at low concentrations for high sensitivity detection, and GNP pixel occupancies are used at high concentrations for extended dynamic range. With this approach, we detected NT-proBNP in the range of 8.24-10 000 pg/mL from 7 μL of whole blood in 10 min, with a limit of detection of 0.94 pg/mL. Finally, the method was validated with 15 clinical serum samples, showing excellent linear correlation (r = 0.998) with Roche's Elecsys proBNP II assay. This evidence indicates that this method holds promise for decentralized monitoring of heart failure.
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Affiliation(s)
- Chao Chen
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States
- Center for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
| | - Ryan Porter
- Center for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
- School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287, United States
| | - Xiaoyan Zhou
- Center for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
- School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287, United States
| | - Christine Lh Snozek
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Phoenix, Arizona 85054, United States
| | - Eric H Yang
- Department of Cardiovascular Disease, Mayo Clinic Arizona, Phoenix, Arizona 85054, United States
| | - Shaopeng Wang
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States
- Center for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
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2
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Dong T, Zhu W, Yang Z, Matos Pires NM, Lin Q, Jing W, Zhao L, Wei X, Jiang Z. Advances in heart failure monitoring: Biosensors targeting molecular markers in peripheral bio-fluids. Biosens Bioelectron 2024; 255:116090. [PMID: 38569250 DOI: 10.1016/j.bios.2024.116090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/10/2024] [Accepted: 01/28/2024] [Indexed: 04/05/2024]
Abstract
Cardiovascular diseases (CVDs), especially chronic heart failure, threaten many patients' lives worldwide. Because of its slow course and complex causes, its clinical screening, diagnosis, and prognosis are essential challenges. Clinical biomarkers and biosensor technologies can rapidly screen and diagnose. Multiple types of biomarkers are employed for screening purposes, precise diagnosis, and treatment follow-up. This article provides an up-to-date overview of the biomarkers associated with the six main heart failure etiology pathways. Plasma natriuretic peptides (BNP and NT-proBNP) and cardiac troponins (cTnT, cTnl) are still analyzed as gold-standard markers for heart failure. Other complementary biomarkers include growth differentiation factor 15 (GDF-15), circulating Galactose Lectin 3 (Gal-3), soluble interleukin (sST2), C-reactive protein (CRP), and tumor necrosis factor-alpha (TNF-α). For these biomarkers, the electrochemical biosensors have exhibited sufficient sensitivity, detection limit, and specificity. This review systematically summarizes the latest molecular biomarkers and sensors for heart failure, which will provide comprehensive and cutting-edge authoritative scientific information for biomedical and electronic-sensing researchers in the field of heart failure, as well as patients. In addition, our proposed future outlook may provide new research ideas for researchers.
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Affiliation(s)
- Tao Dong
- Chongqing Key Laboratory of Micro-Nano Systems and Intelligent Transduction, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, School of Mechanical Engincering, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China; X Multidisciplinary Research Institute, Faculty of Instrumentation Science and Technology, State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University, Xi'an, 710049, China; Department of Microsystems- IMS, Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway-USN, P.O. Box 235, Kongsberg, 3603, Norway
| | - Wangang Zhu
- Chongqing Key Laboratory of Micro-Nano Systems and Intelligent Transduction, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, School of Mechanical Engincering, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China; X Multidisciplinary Research Institute, Faculty of Instrumentation Science and Technology, State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhaochu Yang
- Chongqing Key Laboratory of Micro-Nano Systems and Intelligent Transduction, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, School of Mechanical Engincering, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China
| | - Nuno Miguel Matos Pires
- Chongqing Key Laboratory of Micro-Nano Systems and Intelligent Transduction, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, School of Mechanical Engincering, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China
| | - Qijing Lin
- X Multidisciplinary Research Institute, Faculty of Instrumentation Science and Technology, State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Weixuan Jing
- X Multidisciplinary Research Institute, Faculty of Instrumentation Science and Technology, State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Libo Zhao
- X Multidisciplinary Research Institute, Faculty of Instrumentation Science and Technology, State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xueyong Wei
- X Multidisciplinary Research Institute, Faculty of Instrumentation Science and Technology, State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhuangde Jiang
- X Multidisciplinary Research Institute, Faculty of Instrumentation Science and Technology, State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University, Xi'an, 710049, China
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3
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Li X, Zhang Y, Hu X, Nie C, Li W, Ding Y, Chen H. A study on urinary tract infections based on a chemotactic microfluidic device. Minerva Gastroenterol (Torino) 2024; 70:268-270. [PMID: 37232144 DOI: 10.23736/s2724-5985.23.03387-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Affiliation(s)
- Xun Li
- Laboratory of Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing, China
| | - Yuanyuan Zhang
- Laboratory of Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing, China
| | - Xiefei Hu
- Chongqing University Central Hospital, Chongqing, China
| | - Cui Nie
- Laboratory of Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing, China
| | - Wei Li
- Laboratory of Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing, China
| | - Yan Ding
- Laboratory of Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing, China
| | - Huajian Chen
- Laboratory of Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing, China -
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Lv W, Li Q, Tang Y, Qin Y, Zhou X, Zhao X, Zheng Z, Huang B. AlphaLISA-Based Immunoassay for Detection of Troponin T in Serum of Patients with Acute Myocardial Infarction. J Fluoresc 2024:10.1007/s10895-024-03775-w. [PMID: 38780833 DOI: 10.1007/s10895-024-03775-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024]
Abstract
Survival and prognosis of patients with acute myocardial infarction (AMI) are highly dependent on rapid and accurate diagnosis of myocardial damage. Troponin T is the primary diagnostic biomarker and is widely used in clinical practice. Amplified luminescent proximity homogeneous assay (AlphaLISA) may provide a solution to rapidly detect a small amount of analyte through molecular interactions between special luminescent donor beads and acceptor bead. Here, a double-antibody sandwich assay was introduced into AlphaLISA for rapid detection for early diagnosis of AMI and disease staging evaluation. The performance of the assay was evaluated. The study found that the cTnT assay has a linear range of 48.66 to 20,000 ng/L with a limit of detection of 48.66 ng/L. In addition, the assay showed no cross-reactivity with other classic biomarkers of myocardial infarction and was highly reproducible with intra- and inter-batch coefficients of variation of less than 10%, notably, only 3 min was taken, which is particularly suitable for clinical diagnosis. These results suggest that our method can be conveniently applied in the clinic to determine the severity of the patient's condition.
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Affiliation(s)
- Wei Lv
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310016, China
| | - Qian Li
- Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Yan Tang
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310016, China
| | - Yuan Qin
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310016, China
| | - Xiumei Zhou
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310016, China
| | - Xueqin Zhao
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310016, China.
| | - Zhencang Zheng
- Taizhou Central Hospital(Taizhou University Hospital), Taizhou, 318000, China.
| | - Biao Huang
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310016, China.
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Chen Q, Wu W, Wang K, Han Z, Yang C. Methods for detecting of cardiac troponin I biomarkers for myocardial infarction using biosensors: a narrative review of recent research. J Thorac Dis 2023; 15:5112-5121. [PMID: 37868839 PMCID: PMC10586976 DOI: 10.21037/jtd-23-1263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 09/14/2023] [Indexed: 10/24/2023]
Abstract
Background and Objective In cardiovascular diseases (CVDs), acute myocardial infarction (AMI) is considered one of the leading causes of human death, and its diagnosis mainly relies on the detection of the cardiac biomarker troponin I. Traditional detection methods have certain limitations, which has prompted the development of methods with higher sensitivity and specificity. In recent years, biosensors, as an emerging technology, have been widely applied in the clinical medicine and biodetection fields. We retrieved and reviewed relevant articles published over the past 3 years and subsequently summarized the research progress of different types of biosensors in detecting cardiac troponin I and the challenges faced in achieving simple, specific, and portable point-of-care testing (POCT) technology for bedside rapid detection. The aim of this review is to serve as reference for the early diagnosis and treatment of CVDs. Methods This study searched for relevant literature published from 2019 to 2022 in the PubMed database of the National Center for Biotechnology Information (NCBI). The keywords used were as follows: "cardiac troponin I", "biosensor", "point-of-care testing", "electrochemical detection", and "surface-enhanced Raman spectroscopy". Key Content and Findings The review found that biosensor technology has high specificity and sensitivity in the detection of cardiac troponin I and is simpler and more convenient than is traditional laboratory testing. Its vigorous development can facilitate the diagnosis of AMI earlier and faster. Conclusions This study reviewed the progress of cardiac troponin I detection based on biosensing strategies. We found that cardiac troponin I detection methods based on biosensing strategies have their own advantages and disadvantages in clinical applications, and their sensitivity has been constantly improved. In the future, the detection of cardiac troponin I using biosensing technology will be simpler, faster, more sensitive, and portable.
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Affiliation(s)
- Qingzhuo Chen
- Department of Cardiology, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Wenxin Wu
- Department of Laboratory Medicine, Jiangnan University Medical Center, Wuxi, China
| | - Ke Wang
- National Key Laboratory of Radiopharmaceuticals, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, National Health Commission, Wuxi, China
- Department of Radiopharmaceuticals, School of Pharmacy, Nanjing Medical University, Nanjing, China
| | - Zhijun Han
- Department of Clinical Research Center, Jiangnan University Medical Center, Wuxi, China
| | - Chengjian Yang
- Department of Cardiology, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi, China
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Abstract
This paper reviews methods for detecting proteins based on molecular digitization, i.e., the isolation and detection of single protein molecules or singulated ensembles of protein molecules. The single molecule resolution of these methods has resulted in significant improvements in the sensitivity of immunoassays beyond what was possible using traditional "analog" methods: the sensitivity of some digital immunoassays approach those of methods for measuring nucleic acids, such as the polymerase chain reaction (PCR). The greater sensitivity of digital protein detection has resulted in immuno-diagnostics with high potential societal impact, e.g., the early diagnosis and therapeutic intervention of Alzheimer's Disease. In this review, we will first provide the motivation for developing digital protein detection methods given the limitations in the sensitivity of analog methods. We will describe the paradigm shift catalyzed by single molecule detection, and will describe in detail one digital approach - which we call digital bead assays (DBA) - based on the capture and labeling of proteins on beads, identifying "on" and "off" beads, and quantification using Poisson statistics. DBA based on the single molecule array (Simoa) technology have sensitivities down to attomolar concentrations, equating to ∼10 proteins in a 200 μL sample. We will describe the concept behind DBA, the different single molecule labels used, the ways of analyzing beads (imaging of arrays and flow), the binding reagents and substrates used, and integration of these technologies into fully automated and miniaturized systems. We provide an overview of emerging approaches to digital protein detection, including those based on digital detection of nucleic acids labels, single nanoparticle detection, measurements using nanopores, and methods that exploit the kinetics of single molecule binding. We outline the initial impact of digital protein detection on clinical measurements, highlighting the importance of customized assay development and translational clinical research. We highlight the use of DBA in the measurement of neurological protein biomarkers in blood, and how these higher sensitivity methods are changing the diagnosis and treatment of neurological diseases. We conclude by summarizing the status of digital protein detection and suggest how the lab-on-a-chip community might drive future innovations in this field.
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Affiliation(s)
- David C Duffy
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, MA 01821, USA.
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Wen R, Zhou C, Tian J, Lu J. Confined catalysis of MOF-818 nanozyme and colorimetric aptasensing for cardiac troponin I. Talanta 2023; 252:123830. [DOI: 10.1016/j.talanta.2022.123830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/03/2022] [Accepted: 08/07/2022] [Indexed: 11/27/2022]
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Xu H, Li S, Liu YS. Nanoparticles in the diagnosis and treatment of vascular aging and related diseases. Signal Transduct Target Ther 2022; 7:231. [PMID: 35817770 PMCID: PMC9272665 DOI: 10.1038/s41392-022-01082-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 06/23/2022] [Accepted: 06/26/2022] [Indexed: 11/09/2022] Open
Abstract
Aging-induced alternations of vasculature structures, phenotypes, and functions are key in the occurrence and development of vascular aging-related diseases. Multiple molecular and cellular events, such as oxidative stress, mitochondrial dysfunction, vascular inflammation, cellular senescence, and epigenetic alterations are highly associated with vascular aging physiopathology. Advances in nanoparticles and nanotechnology, which can realize sensitive diagnostic modalities, efficient medical treatment, and better prognosis as well as less adverse effects on non-target tissues, provide an amazing window in the field of vascular aging and related diseases. Throughout this review, we presented current knowledge on classification of nanoparticles and the relationship between vascular aging and related diseases. Importantly, we comprehensively summarized the potential of nanoparticles-based diagnostic and therapeutic techniques in vascular aging and related diseases, including cardiovascular diseases, cerebrovascular diseases, as well as chronic kidney diseases, and discussed the advantages and limitations of their clinical applications.
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Affiliation(s)
- Hui Xu
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China.,Institute of Aging and Age-related Disease Research, Central South University, 410011, Changsha, Hunan, China
| | - Shuang Li
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China.,Institute of Aging and Age-related Disease Research, Central South University, 410011, Changsha, Hunan, China
| | - You-Shuo Liu
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China. .,Institute of Aging and Age-related Disease Research, Central South University, 410011, Changsha, Hunan, China.
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Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection. Proc Natl Acad Sci U S A 2022; 119:e2120379119. [PMID: 35238650 PMCID: PMC8916011 DOI: 10.1073/pnas.2120379119] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
SignificanceThe detection of low-abundance molecular biomarkers is key to the liquid-biopsy-based disease diagnosis. Existing methods are limited by the affinity and specificity of recognition probes and the mass transportation of analyte molecules onto the sensor surfaces, resulting in insufficient sensitivity and long assay time. This work establishes a rapid and ultrasensitive approach by actively tuning binding kinetics and accelerating the mass transportation via nanoparticle micromanipulations. This is significant because it permits extremely sensitive measurements within clinically acceptable assay time. It is incubation-free, washing-free, and compatible with low- and high-affinity probes.
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Ge C, Feng J, Zhang J, Hu K, Wang D, Zha L, Hu X, Li R. Aptamer/antibody sandwich method for digital detection of SARS-CoV2 nucleocapsid protein. Talanta 2022; 236:122847. [PMID: 34635237 PMCID: PMC8421254 DOI: 10.1016/j.talanta.2021.122847] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 08/30/2021] [Accepted: 09/02/2021] [Indexed: 12/12/2022]
Abstract
Nucleocapsid protein (N protein) is the most abundant protein in SARS-CoV2 and is highly conserved, and there are no homologous proteins in the human body, making it an ideal biomarker for the early diagnosis of SARS-CoV2. However, early detection of clinical specimens for SARS-CoV2 remains a challenge due to false-negative results with viral RNA and host antibodies based testing. In this manuscript, a microfluidic chip with femtoliter-sized wells was fabricated for the sensitive digital detection of N protein. Briefly, β-galactosidase (β-Gal)-linked antibody/N protein/aptamer immunocomplexes were formed on magnetic beads (MBs). Afterwards, the MBs and β-Gal substrate fluorescein-di-β-d-galactopyranoside (FDG) were injected into the chip together. Each well of the chip would only hold one MB as confined by the diameter of the wells. The MBs in the wells were sealed by fluorocarbon oil, which confines the fluorescent (FL) product generated from the reaction between β-Gal and FDG in the individual femtoliter-sized well and creates a locally high concentration of the FL product. The FL images of the wells were acquired using a conventional inverted FL microscope. The number of FL wells with MBs (FL wells number) and the number of wells with MBs (MBs wells number) were counted, respectively. The percentage of FL wells was calculated by dividing (FL wells number) by (MBs wells number). The higher the percentage of FL wells, the higher the N protein concentration. The detection limit of this digital method for N protein was 33.28 pg/mL, which was 300 times lower than traditional double-antibody sandwich based enzyme-linked immunosorbent assay (ELISA).
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Affiliation(s)
- Chenchen Ge
- College of Health Science and Environmental Engineering, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China
| | - Juan Feng
- College of Health Science and Environmental Engineering, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China
| | - Jiaming Zhang
- Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China
| | - Kai Hu
- Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China
| | - Dou Wang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong, 518055, PR China.
| | - Ling Zha
- College of Health Science and Environmental Engineering, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China
| | - Xuejuan Hu
- Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China.
| | - Rongsong Li
- College of Health Science and Environmental Engineering, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China.
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Wang ZR, Zhou JW, Liu XP, Cai GJ, Zhang QH, Mao JF. Effects of WeChat platform-based health management on health and self-management effectiveness of patients with severe chronic heart failure. World J Clin Cases 2021; 9:10576-10584. [PMID: 35004989 PMCID: PMC8686122 DOI: 10.12998/wjcc.v9.i34.10576] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/08/2021] [Accepted: 10/15/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Epidemiological studies have found that the prevalence of chronic heart failure in China is 0.9%, the number of people affected is more than 4 million, and the 5-year survival rate is even lower than that of malignant tumors.
AIM To determine the impact of WeChat platform-based health management on severe chronic heart failure patients’ health and self-management efficacy.
METHODS A total of 120 patients suffering from chronic heart failure with cardiac function grade III-IV, under the classification of the New York Heart Association, were admitted to our hospital in May 2017. In January 2020, they were divided into two groups: A control group (with routine nursing intervention) and an observation group (with WeChat platform-based health management intervention). Changes in cardiac function, 6-min walking distance (6MWD), high-sensitivity cardiac troponin (hs-cTnT), and N-terminal pro B-type natriuretic peptide (NT-proBNP) were detected in both groups. The Self-Care Ability Scale (ESCA) score, Minnesota Living with Heart Failure Questionnaire score, and compliance score were used to evaluate self-management ability, quality of life, and compliance of the two groups. During a follow-up period of 12 mo, the occurrence of cardiovascular adverse events in both the groups was counted.
RESULTS The left ventricular ejection fraction, stroke output, and 6MWD increased, and the hs-cTnT and NT-proBNP decreased in both the groups, as compared to those before the intervention. Further, cardiac function during the 6MWD, hs-cTnT, and NT-proBNP improved significantly in the observation group after intervention (P < 0.05). The scores of self-care responsibility, self-concept, self-care skills, and self-care health knowledge in the observation group were higher than those of the control group before intervention, and their ESCA scores were significantly improved after intervention (P < 0.05). The Minnesota heart failure quality of life (LiHFe) scores of physical restriction, disease symptoms, psychological emotion, social relations, and other items were decreased compared to those of the control group before intervention, and the LiHFe scores of the observation group were significantly improved compared to those of the control group (P < 0.05). With intervention, the compliance scores of rational diet, regular medication, healthy behavior, and timely reexamination were increased, thereby leading to the compliance scores of the observation group being significantly improved compared to those of the control group (P < 0.05). During the 12 mo follow-up, the incidence rates of acute myocardial infarction and cardiogenic rehospitalization in the observation group were lower than those of the control group, and the hospitalization time in the observation group was shorter than that of the control group, but there was no significant difference between the two groups (P > 0.05).
CONCLUSION WeChat platform-based health management can improve the self-care ability and compliance of patients with severe chronic heart failure, improve the cardiac function and related indexes, reduce the occurrence of cardiovascular adverse events, and enable the avoidance of rehospitalization.
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Affiliation(s)
- Zhan-Ru Wang
- Department of Critical Care Medicine, Shaoxing Hospital of China Medical University, Shaoxing 312000, Zhejiang Province, China
| | - Jia-Wu Zhou
- Department of Emergency Medicine, Shaoxing Hospital of China Medical University, Shaoxing 312000, Zhejiang Province, China
| | - Xiao-Ping Liu
- Department of Emergency Medicine, Shaoxing Hospital of China Medical University, Shaoxing 312000, Zhejiang Province, China
| | - Guo-Juan Cai
- Department of Emergency Medicine, Zhuji People's Hospital of Zhejiang Province, Zhuji 311800, Zhejiang Province, China
| | - Qi-Hong Zhang
- Department of Emergency Medicine, Zhuji People's Hospital of Zhejiang Province, Zhuji 311800, Zhejiang Province, China
| | - Jun-Fang Mao
- Department of Emergency Medicine, Zhuji People's Hospital of Zhejiang Province, Zhuji 311800, Zhejiang Province, China
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12
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Du X, Su X, Zhang W, Yi S, Zhang G, Jiang S, Li H, Li S, Xia F. Progress, Opportunities, and Challenges of Troponin Analysis in the Early Diagnosis of Cardiovascular Diseases. Anal Chem 2021; 94:442-463. [PMID: 34843218 DOI: 10.1021/acs.analchem.1c04476] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Xuewei Du
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Xujie Su
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Wanxue Zhang
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Suyan Yi
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Ge Zhang
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Shan Jiang
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Hui Li
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Shaoguang Li
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Fan Xia
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
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13
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Ma G, Wan Z, Yang Y, Jing W, Wang S. Three-Dimensional Tracking of Tethered Particles for Probing Nanometer-Scale Single-Molecule Dynamics Using a Plasmonic Microscope. ACS Sens 2021; 6:4234-4243. [PMID: 34786931 DOI: 10.1021/acssensors.1c01927] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Three-dimensional (3D) tracking of surface-tethered single particles reveals the dynamics of the molecular tether. However, most 3D tracking techniques lack precision, especially in the axial direction, for measuring the dynamics of biomolecules with a spatial scale of several nanometers. Here, we present a plasmonic imaging technique that can track the motion of ∼100 tethered particles in 3D simultaneously with sub-nanometer axial precision and single-digit nanometer lateral precision at millisecond time resolution. By tracking the 3D coordinates of a tethered particle with high spatial resolution, we are able to determine the dynamics of single short DNA and study its interaction with enzymes. We further show that the particle motion pattern can be used to identify specific and nonspecific interactions in immunoassays. We anticipate that our 3D tracking technique can contribute to the understanding of molecular dynamics and interactions at the single-molecule level.
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Affiliation(s)
- Guangzhong Ma
- Biodesign Center for Biosensors and Bioelectronics, Arizona State University, Tempe, Arizona 85287, United States
| | - Zijian Wan
- Biodesign Center for Biosensors and Bioelectronics, Arizona State University, Tempe, Arizona 85287, United States
- School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287, United States
| | - Yunze Yang
- Biodesign Center for Biosensors and Bioelectronics, Arizona State University, Tempe, Arizona 85287, United States
| | - Wenwen Jing
- Biodesign Center for Biosensors and Bioelectronics, Arizona State University, Tempe, Arizona 85287, United States
- Department of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Shaopeng Wang
- Biodesign Center for Biosensors and Bioelectronics, Arizona State University, Tempe, Arizona 85287, United States
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States
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14
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Zhang P, Ma G, Wan Z, Wang S. Quantification of Single-Molecule Protein Binding Kinetics in Complex Media with Prism-Coupled Plasmonic Scattering Imaging. ACS Sens 2021; 6:1357-1366. [PMID: 33720692 DOI: 10.1021/acssensors.0c02729] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Measuring molecular binding is critical for understanding molecular-scale biological processes and screening drugs. Label-free detection technologies, such as surface plasmon resonance (SPR), have been developed for analyzing analytes in their natural forms. However, the specificity of these methods is solely relying on surface chemistry and has often nonspecific binding issues when working with samples in complex media. Herein, we show that single-molecule-based measurement can distinct specific and nonspecific binding processes by quantifying the mass and binding dynamics of individual-bound analyte molecules, thus allowing the binding kinetic analysis in complex media such as serum. In addition, this single-molecule imaging is realized in a commonly used Kretschmann prism-coupled SPR system, thus providing a convenient solution to realize high-resolution imaging on widely used prism-coupled SPR systems.
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Affiliation(s)
- Pengfei Zhang
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, Arizona 85287 United States
| | - Guangzhong Ma
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, Arizona 85287 United States
| | - Zijian Wan
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, Arizona 85287 United States
- School of Electrical, Energy and Computer Engineering, Arizona State University, Tempe, Arizona 85287, United States
| | - Shaopeng Wang
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, Arizona 85287 United States
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