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Chen X, Zhou S, Wang Y, Zheng L, Guan S, Wang D, Wang L, Guan X. Nanopore Single-molecule Analysis of Biomarkers: Providing Possible Clues to Disease Diagnosis. Trends Analyt Chem 2023; 162:117060. [PMID: 38106545 PMCID: PMC10722900 DOI: 10.1016/j.trac.2023.117060] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Biomarker detection has attracted increasing interest in recent years due to the minimally or non-invasive sampling process. Single entity analysis of biomarkers is expected to provide real-time and accurate biological information for early disease diagnosis and prognosis, which is critical to the effective disease treatment and is also important in personalized medicine. As an innovative single entity analysis method, nanopore sensing is a pioneering single-molecule detection technique that is widely used in analytical bioanalytical fields. In this review, we overview the recent progress of nanopore biomarker detection as new approaches to disease diagnosis. In highlighted studies, nanopore was focusing on detecting biomarkers of different categories of communicable and noncommunicable diseases, such as pandemic Covid-19, AIDS, cancers, neurologic diseases, etc. Various sensitive and selective nanopore detecting strategies for different types of biomarkers are summarized. In addition, the challenges, opportunities, and direction for future development of nanopore-based biomarker sensors are also discussed.
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Affiliation(s)
- Xiaohan Chen
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
| | - Shuo Zhou
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
| | - Yunjiao Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
| | - Ling Zheng
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Sarah Guan
- Hinsdale Central High School, Hinsdale, IL 60521, USA
| | - Deqiang Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
| | - Liang Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
- Chongqing Key Laboratory of Intelligent Medicine Engineering for Hepatopancreatobiliary Diseases, University of Chinese Academy of Sciences, Chongqing 401147, China
| | - Xiyun Guan
- Department of Chemistry, Illinois Institute of Technology, Chicago, IL, 60616, USA
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2
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Abstract
Evolution has found countless ways to transport material across cells and cellular compartments separated by membranes. Protein assemblies are the cornerstone for the formation of channels and pores that enable this regulated passage of molecules in and out of cells, contributing to maintaining most of the fundamental processes that sustain living organisms. As in several other occasions, we have borrowed from the natural properties of these biological systems to push technology forward and have been able to hijack these nano-scale proteinaceous pores to learn about the physical and chemical features of molecules passing through them. Today, a large repertoire of biological pores is exploited as molecular sensors for characterizing biomolecules that are relevant for the advancement of life sciences and application to medicine. Although the technology has quickly matured to enable nucleic acid sensing with transformative implications for genomics, biological pores stand as some of the most promising candidates to drive the next developments in single-molecule proteomics.
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Affiliation(s)
- Simon Finn Mayer
- Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Chan Cao
- Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Matteo Dal Peraro
- Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
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3
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Review of the use of nanodevices to detect single molecules. Anal Biochem 2022; 654:114645. [DOI: 10.1016/j.ab.2022.114645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 03/01/2022] [Accepted: 03/03/2022] [Indexed: 12/21/2022]
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4
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Abstract
Cost-effective, rapid, and accurate virus detection technologies play key roles in reducing viral transmission. Prompt and accurate virus detection enables timely treatment and effective quarantine of virus carrier, and therefore effectively reduces the possibility of large-scale spread. However, conventional virus detection techniques often suffer from slow response, high cost or sophisticated procedures. Recently, two-dimensional (2D) materials have been used as promising sensing platforms for the high-performance detection of a variety of chemical and biological substances. The unique properties of 2D materials, such as large specific area, active surface interaction with biomolecules and facile surface functionalization, provide advantages in developing novel virus detection technologies with fast response and high sensitivity. Furthermore, 2D materials possess versatile and tunable electronic, electrochemical and optical properties, making them ideal platforms to demonstrate conceptual sensing techniques and explore complex sensing mechanisms in next-generation biosensors. In this review, we first briefly summarize the virus detection techniques with an emphasis on the current efforts in fighting again COVID-19. Then, we introduce the preparation methods and properties of 2D materials utilized in biosensors, including graphene, transition metal dichalcogenides (TMDs) and other 2D materials. Furthermore, we discuss the working principles of various virus detection technologies based on emerging 2D materials, such as field-effect transistor-based virus detection, electrochemical virus detection, optical virus detection and other virus detection techniques. Then, we elaborate on the essential works in 2D material-based high-performance virus detection. Finally, our perspective on the challenges and future research direction in this field is discussed.
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5
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Zhong W, Yang Q, Fang K, Xiao D, Zhou C. Current Simultaneous Discrimination of Mismatched MicroRNAs Using Base-Flipping within the α-Hemolysin Latch. ACS Sens 2021; 6:4482-4488. [PMID: 34793139 DOI: 10.1021/acssensors.1c02005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The simultaneous discrimination of let-7 microRNAs (miRNAs) would greatly facilitate the early diagnosis and prognosis monitoring of diseases. In this work, a molecular beacon DNA probe was designed to be able to flip out its mismatched cytosine base within the α-hemolysin (α-HL) latch and generate completely separated blocking currents to identify the single-base difference. As a result, the characteristic blocking current of fully matched MB/let-7a and single-base mismatched MB/let-7f was 84.30 ± 0.92 and 87.05 ± 0.86% (confidence level P 95%), respectively. Let-7 miRNA family let-7a and let-7f were completely simultaneously discriminated, which could be attributed to the following strengths. (1) The statistic distribution of blocking current is extremely concentrated with a small relative standard deviation (RSD) of less than 1% and a narrow distribution range. (2) Complete separation is achieved with a high separation resolution of 1.54. (3) The cytosine base flipping out within the α-HL latch provides a universal labeling-free strategy to simultaneously discriminate the single-base mismatch. Overall, the target let-7f sequences were detected with a linear range from 0.001 to 10 pM in human serum samples containing 200 nM let-7a. Great potential has been demonstrated for precise detection, early diagnosis, and prognosis monitoring of diseases related to single-base difference.
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Affiliation(s)
- Wenjun Zhong
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
| | - Qiufang Yang
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
| | - Kerui Fang
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
| | - Dan Xiao
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
| | - Cuisong Zhou
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
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Akhtarian S, Miri S, Doostmohammadi A, Brar SK, Rezai P. Nanopore sensors for viral particle quantification: current progress and future prospects. Bioengineered 2021; 12:9189-9215. [PMID: 34709987 PMCID: PMC8810133 DOI: 10.1080/21655979.2021.1995991] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 10/16/2021] [Accepted: 10/16/2021] [Indexed: 12/24/2022] Open
Abstract
Rapid, inexpensive, and laboratory-free diagnostic of viral pathogens is highly critical in controlling viral pandemics. In recent years, nanopore-based sensors have been employed to detect, identify, and classify virus particles. By tracing ionic current containing target molecules across nano-scale pores, nanopore sensors can recognize the target molecules at the single-molecule level. In the case of viruses, they enable discrimination of individual viruses and obtaining important information on the physical and chemical properties of viral particles. Despite classical benchtop virus detection methods, such as amplification techniques (e.g., PCR) or immunological assays (e.g., ELISA), that are mainly laboratory-based, expensive and time-consuming, nanopore-based sensing methods can enable low-cost and real-time point-of-care (PoC) and point-of-need (PoN) monitoring of target viruses. This review discusses the limitations of classical virus detection methods in PoN virus monitoring and then provides a comprehensive overview of nanopore sensing technology and its emerging applications in quantifying virus particles and classifying virus sub-types. Afterward, it discusses the recent progress in the field of nanopore sensing, including integrating nanopore sensors with microfabrication technology, microfluidics and artificial intelligence, which have been demonstrated to be promising in developing the next generation of low-cost and portable biosensors for the sensitive recognition of viruses and emerging pathogens.
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Affiliation(s)
- Shiva Akhtarian
- Department of Mechanical Engineering, York University, Toronto, ON, Canada
| | - Saba Miri
- Department of Civil Engineering, York University, Toronto, ON, Canada
| | - Ali Doostmohammadi
- Department of Mechanical Engineering, York University, Toronto, ON, Canada
| | | | - Pouya Rezai
- Department of Mechanical Engineering, York University, Toronto, ON, Canada
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He X, Wang P, Shi L, Zhou T, Wen L. Electrokinetic translocation of a deformable nanoparticle controlled by field effect in nanopores. Electrophoresis 2021; 42:2197-2205. [PMID: 34409625 DOI: 10.1002/elps.202100107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 08/05/2021] [Accepted: 08/10/2021] [Indexed: 12/27/2022]
Abstract
Nanopores have become a popular single-molecule manipulation and detection technology. In this paper, we have constructed a continuum model of the nanopore; the arbitrary Lagrangian-Eulerian (ALE) method is used to describe the motion of particles and fluid. The mathematical model couples the stress-strain equation for the dynamics of a deformable particle, the Poisson equation for the electric field, the Navier-Stokes equations for the flow field, and the Nernst-Planck equations for ionic transport. Based on the model, the mechanism of field-effect regulation of particles passing through a nanopore is investigated. The results show that the transport of particles which is controlled by the field effect depends on the electroosmotic flow (EOF) generated by the gate electrode in the nanopore and the electrostatic interaction between the nanopore and particles. That also explains the asymmetry of particle transport velocity in the nanopore with a gate electrode. When the gate potential is negative, or the gate electrode length is small, the maximum deformation of the particles is increased. The field-effect regulation in the nanopore provides an active and compatible method for nanopore detection, and provides a convenient method for the active control of the particle deformation in the nanopore.
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Affiliation(s)
- Xiaohan He
- Mechanical and Electrical Engineering College, Hainan University, Haikou, Hainan, P. R. China
| | - Pengcheng Wang
- Department of Mechanical Engineering, University of Houston, Houston, Texas, USA
| | - Liuyong Shi
- Mechanical and Electrical Engineering College, Hainan University, Haikou, Hainan, P. R. China
| | - Teng Zhou
- Mechanical and Electrical Engineering College, Hainan University, Haikou, Hainan, P. R. China
| | - Liping Wen
- CAS Key Laboratory of Bio-inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, P. R. China
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8
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Cho SY, Gong X, Koman VB, Kuehne M, Moon SJ, Son M, Lew TTS, Gordiichuk P, Jin X, Sikes HD, Strano MS. Cellular lensing and near infrared fluorescent nanosensor arrays to enable chemical efflux cytometry. Nat Commun 2021; 12:3079. [PMID: 34035262 PMCID: PMC8149711 DOI: 10.1038/s41467-021-23416-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/20/2021] [Indexed: 02/07/2023] Open
Abstract
Nanosensors have proven to be powerful tools to monitor single cells, achieving spatiotemporal precision even at molecular level. However, there has not been way of extending this approach to statistically relevant numbers of living cells. Herein, we design and fabricate nanosensor array in microfluidics that addresses this limitation, creating a Nanosensor Chemical Cytometry (NCC). nIR fluorescent carbon nanotube array is integrated along microfluidic channel through which flowing cells is guided. We can utilize the flowing cell itself as highly informative Gaussian lenses projecting nIR profiles and extract rich information. This unique biophotonic waveguide allows for quantified cross-correlation of biomolecular information with various physical properties and creates label-free chemical cytometer for cellular heterogeneity measurement. As an example, the NCC can profile the immune heterogeneities of human monocyte populations at attomolar sensitivity in completely non-destructive and real-time manner with rate of ~600 cells/hr, highest range demonstrated to date for state-of-the-art chemical cytometry.
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Affiliation(s)
- Soo-Yeon Cho
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Xun Gong
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Volodymyr B Koman
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Matthias Kuehne
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Sun Jin Moon
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Manki Son
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Tedrick Thomas Salim Lew
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Pavlo Gordiichuk
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Xiaojia Jin
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hadley D Sikes
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Michael S Strano
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
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9
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Jiang D, Tian Y, Zhang Y, Lu X, Xiao D, Zhou C. One-step fast and label-free imaging array for multiplexed detection of trace avian influenza viruses. Anal Chim Acta 2021; 1171:338645. [PMID: 34112438 DOI: 10.1016/j.aca.2021.338645] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 12/30/2022]
Abstract
Rapid and low-cost diagnosis of multiple infectious diseases is of great significance especially in densely populated or resource-constrained settings. Herein, we developed a one-step fast and label-free imaging array for multiplexed detection of trace avian influenza virus (AIV) DNA biomarkers. By designing a series of specific and efficient catalytic hairpin assembly (CHA) amplification reactions and utilizing thioflavin T, a specific G-quadruplex fluorescence probe, three subtypes of AIV DNA biomarkers (H1N1, H7N9 and H5N1) were simultaneously and quickly detected within only 20 min, which just needed a small reagent volume of 50 μL and a smartphone instead of a spectrometer. With the combination of fluorescence imaging output and grey-level analysis, the array sensor can be on-site with the limit of detection of 136 pM, 141 pM and 129 pM for H1N1, H7N9 and H5N1, respectively. The imaging array also displayed good mismatch discrimination, excellent anti-interference, and real sample application. In view of its advantages of fast detection, low cost and multiplexed analysis, the imaging array is expected to have potential applications for early infectious disease diagnosis in resource-constrained settings.
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Affiliation(s)
- Dagang Jiang
- College of Chemistry, Sichuan University, Chengdu, 610064, PR China
| | - Yafei Tian
- College of Chemistry, Sichuan University, Chengdu, 610064, PR China
| | - Yujiao Zhang
- College of Chemistry, Sichuan University, Chengdu, 610064, PR China
| | - Xueyun Lu
- College of Chemistry, Sichuan University, Chengdu, 610064, PR China
| | - Dan Xiao
- College of Chemistry, Sichuan University, Chengdu, 610064, PR China
| | - Cuisong Zhou
- College of Chemistry, Sichuan University, Chengdu, 610064, PR China.
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10
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Lee DH, Oh S, Lim K, Lee B, Yi GS, Kim YR, Kim KB, Lee CK, Chi SW, Lee MK. Tertiary RNA Folding-Targeted Drug Screening Strategy Using a Protein Nanopore. Anal Chem 2021; 93:2811-2819. [PMID: 33475355 DOI: 10.1021/acs.analchem.0c03941] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Bacterial riboswitch RNAs are attractive targets for novel antibiotics against antibiotic-resistant superbacteria. Their binding to cognate metabolites is essential for the regulation of bacterial gene expression. Despite the importance of RNAs as therapeutic targets, the development of RNA-targeted, small-molecule drugs is limited by current biophysical methods. Here, we monitored the specific interaction between the adenine-sensing riboswitch aptamer domain (ARS) and adenine at the single-molecule level using α-hemolysin (αHL) nanopores. During adenine-induced tertiary folding, adenine-bound ARS intermediates exhibited characteristic nanopore events, including a two-level ionic current blockade and a ∼ 5.6-fold longer dwell time than that of free RNA. In a proof-of-concept experiment, tertiary RNA folding-targeted drug screening was performed using a protein nanopore, which resulted in the discovery of three new ARS-targeting hit compounds from a natural compound library. Taken together, these results reveal that αHL nanopores are a valuable platform for ultrasensitive, label-free, and single-molecule-based drug screening against therapeutic RNA targets.
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Affiliation(s)
- Dong-Hwa Lee
- Disease Target Structure Research Center, KRIBB, Daejeon 34141, Republic of Korea.,College of Pharmacy, Chungbuk National University, Cheongju 28644, Republic of Korea
| | - Sohee Oh
- Disease Target Structure Research Center, KRIBB, Daejeon 34141, Republic of Korea.,Department of Proteome Structural Biology, KRIBB School of Bioscience, University of Science and Technology, Daejeon 34113, Republic of Korea
| | - Kyungeun Lim
- Disease Target Structure Research Center, KRIBB, Daejeon 34141, Republic of Korea
| | - Boah Lee
- Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Republic of Korea
| | - Gwan-Su Yi
- Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Republic of Korea
| | - Young-Rok Kim
- Graduate School of Biotechnology & Department of Food Science and Biotechnology, College of Life Sciences, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Ki-Bum Kim
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Chong-Kil Lee
- College of Pharmacy, Chungbuk National University, Cheongju 28644, Republic of Korea
| | - Seung-Wook Chi
- Disease Target Structure Research Center, KRIBB, Daejeon 34141, Republic of Korea.,Department of Proteome Structural Biology, KRIBB School of Bioscience, University of Science and Technology, Daejeon 34113, Republic of Korea
| | - Mi-Kyung Lee
- Disease Target Structure Research Center, KRIBB, Daejeon 34141, Republic of Korea.,Department of Proteome Structural Biology, KRIBB School of Bioscience, University of Science and Technology, Daejeon 34113, Republic of Korea
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11
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Kwak DK, Kim JS, Lee MK, Ryu KS, Chi SW. Probing the Neuraminidase Activity of Influenza Virus Using a Cytolysin A Protein Nanopore. Anal Chem 2020; 92:14303-14308. [DOI: 10.1021/acs.analchem.0c03399] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Dong-Kyu Kwak
- Disease Target Structure Research Center, Division of Biomedical Research, KRIBB, Daejeon 34141, Republic of Korea
- Department of Proteome Structural Biology, KRIBB School of Bioscience, University of Science and Technology, Daejeon 34113, Republic of Korea
| | - Jin-Sik Kim
- Disease Target Structure Research Center, Division of Biomedical Research, KRIBB, Daejeon 34141, Republic of Korea
| | - Mi-Kyung Lee
- Disease Target Structure Research Center, Division of Biomedical Research, KRIBB, Daejeon 34141, Republic of Korea
| | - Kyoung-Seok Ryu
- Protein Structure Research Group, Korea Basic Science Institute, 162 Yeongudanji-ro, Ochang-eup, Cheongju-si, Chungcheongbuk-do 28119, Republic of Korea
| | - Seung-Wook Chi
- Disease Target Structure Research Center, Division of Biomedical Research, KRIBB, Daejeon 34141, Republic of Korea
- Department of Proteome Structural Biology, KRIBB School of Bioscience, University of Science and Technology, Daejeon 34113, Republic of Korea
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12
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Yuan X, Yang C, He Q, Chen J, Yu D, Li J, Zhai S, Qin Z, Du K, Chu Z, Qin P. Current and Perspective Diagnostic Techniques for COVID-19. ACS Infect Dis 2020; 6:1998-2016. [PMID: 32677821 PMCID: PMC7409380 DOI: 10.1021/acsinfecdis.0c00365] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Indexed: 02/08/2023]
Abstract
Since late December 2019, the coronavirus pandemic (COVID-19; previously known as 2019-nCoV) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been surging rapidly around the world. With more than 1,700,000 confirmed cases, the world faces an unprecedented economic, social, and health impact. The early, rapid, sensitive, and accurate diagnosis of viral infection provides rapid responses for public health surveillance, prevention, and control of contagious diffusion. More than 30% of the confirmed cases are asymptomatic, and the high false-negative rate (FNR) of a single assay requires the development of novel diagnostic techniques, combinative approaches, sampling from different locations, and consecutive detection. The recurrence of discharged patients indicates the need for long-term monitoring and tracking. Diagnostic and therapeutic methods are evolving with a deeper understanding of virus pathology and the potential for relapse. In this Review, a comprehensive summary and comparison of different SARS-CoV-2 diagnostic methods are provided for researchers and clinicians to develop appropriate strategies for the timely and effective detection of SARS-CoV-2. The survey of current biosensors and diagnostic devices for viral nucleic acids, proteins, and particles and chest tomography will provide insight into the development of novel perspective techniques for the diagnosis of COVID-19.
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Affiliation(s)
- Xi Yuan
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China
| | - Chengming Yang
- Southern
University of Science and Technology Hospital, Shenzhen, Guangdong 518055, China
| | - Qian He
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China
| | - Junhu Chen
- National
Institute of Parasitic Diseases, Chinese
Center for Disease Control and Prevention, Shanghai 200025, China
| | - Dongmei Yu
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China
- Department
of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Jie Li
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China
- Kunming
Dog Base of Police Security, Ministry of Public Security, Kunming, Yunnan 650204, China
| | - Shiyao Zhai
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China
| | - Zhifeng Qin
- Animal &
Plant Inspection and Quarantine Technology Center, Shenzhen Customs District People’s Republic of China, Shenzhen, Guangdong 518045, China
| | - Ke Du
- Department
of Mechanical Engineering, Rochester Institute
of Technology, Rochester, New York 14623, United States
| | - Zhenhai Chu
- Southern
University of Science and Technology Hospital, Shenzhen, Guangdong 518055, China
| | - Peiwu Qin
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China
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13
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Gooding JJ, Ligler FS. Virus Detection: What Were We Doing before COVID-19 Changed the World? ACS Sens 2020; 5:1503-1504. [PMID: 32469511 PMCID: PMC7269094 DOI: 10.1021/acssensors.0c01029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Indexed: 11/29/2022]
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