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Lyu W, Cheng X, Yu Z, Dong R, Sheng Z, Zhang T, Yin X, Shen F. Early-stage diagnosis of ovarian cancer via digital immunoassay on a SlipChip. Talanta 2024; 280:126782. [PMID: 39216422 DOI: 10.1016/j.talanta.2024.126782] [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: 06/30/2024] [Revised: 08/20/2024] [Accepted: 08/24/2024] [Indexed: 09/04/2024]
Abstract
Ovarian cancer (OC) is one of the three major gynecologic malignancies and has the highest mortality rate because of the late diagnosis. Liquid biopsy based on serum protein biomarkers has demonstrated great potential for early diagnosis but remains limited by the analysis performance of conventional immunoassay technologies, such as chemiluminescence, and biomarkers, such as CA125. To address this challenge and achieve accurate early-stage diagnosis of OC, we developed a digital immunoassay on a SlipChip (DiSC) for quantitative analysis of a potential serum protein biomarker, Spondin-1 (SPON1). The DiSC system achieved a limit of detection (LoD) of 23 fg/μL for digital quantification of SPON1. The DiSC system was utilized to quantify the serum level of SPON1 in 357 clinical serum samples, including 63 from patients with benign ovarian tumors and 294 from patients with malignant ovarian cancer, ranging from stages I to IV. SPON1 concentrations were significantly different in samples from patients with malignant ovarian cancer. Notably, significantly different SPON1 levels were observed in early stages (I and II), in lymph node-negative cases (N0), and before metastasis (M0), suggesting that SPON1 could serve as a sensitive diagnostic biomarker for early-stage OC. The differential diagnostic model based on SPON1 levels quantified using DiSC demonstrated an area under the curve (AUC) of 0.8187 for early-stage OC, a significant improvement over CA-125 (AUC = 0.6967). For OC of all stages, the AUC was 0.8225, which could be further increased to 0.8750 when combined with CA-125. This showcases the potential of SPON1 as a novel biomarker for sensitive early-stage diagnosis of ovarian cancer and the capability of the DiSC system in discovering low-abundance biomarkers for disease diagnosis.
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Affiliation(s)
- Weiyuan Lyu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Xinrui Cheng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Ziqing Yu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Ruirui Dong
- Affiliated Women's Hospital of Jiangnan University, Jiangnan University, Wuxi, 214002, China
| | - Zheyi Sheng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Ting Zhang
- Affiliated Women's Hospital of Jiangnan University, Jiangnan University, Wuxi, 214002, China
| | - Xia Yin
- State Key Laboratory for Oncogenes and Related Genes, Shanghai Key Laboratory of Gynecologic Oncology, Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Feng Shen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
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2
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Jia D, Fan W, Ren W, Liu C. Click chemical ligation-enabled digital particle counting for multiplexed microRNA analysis. Biosens Bioelectron 2024; 261:116508. [PMID: 38896977 DOI: 10.1016/j.bios.2024.116508] [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: 04/29/2024] [Revised: 06/08/2024] [Accepted: 06/17/2024] [Indexed: 06/21/2024]
Abstract
Digital counting assays, that quantify targets by counting individual signal entities, provide a promising way for the sensitive analysis of biomarkers even at the single-molecule level. Considering the requirements of complex enzyme-catalyzed amplification techniques and specialized instruments in traditional digital counting biosensors, herein, a simple digital counting platform for microRNA (miRNA) analysis is developed by employing the miRNA-templated click chemical ligation to hinge ultrabright quantum dot-doped nanoparticles (QDNPs) on the bottom of microplate well. Compared with the traditional short miRNA-mediated sandwich hybridization mechanism, the click chemistry-mediated ligation featured enhanced stability, achieving higher sensitivity by directly counting the number of QDNPs with a common wide-field fluorescence microscope. Furthermore, enzyme-free cycling click ligation strategy is adopted to push the detection limit of miRNA down to a low level of 8 fM. What is more, taking advantages of the tunable emission wavelength and narrow emission spectra of fluorescent nanoparticles, the platform enables simultaneous detection of multiplex miRNA targets without cross interference. Benefiting from the simple operation, high sensitivity, and good generality, miRNA analysis in complex samples is successfully achieved. This method not only pioneers a new route for digital counting assays but also holds great potential in miRNA-related biological researches.
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Affiliation(s)
- Dailu Jia
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, China
| | - Wenjiao Fan
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, China.
| | - Wei Ren
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, China
| | - Chenghui Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, China.
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3
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Roth S, Ferrante T, Walt DR. Efficient discovery of antibody binding pairs using a photobleaching strategy for bead encoding. LAB ON A CHIP 2024; 24:4060-4072. [PMID: 39081159 DOI: 10.1039/d4lc00382a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/21/2024]
Abstract
Dye-encoded bead-based assays are widely used for diagnostics. Multiple bead populations are required for multiplexing and can be produced using different dye colors, labeling levels, or combinations of dye ratios. Ready-to-use multiplex bead populations restrict users to specific targets, are costly, or require specialized instrumentation. In-house methods produce few bead plexes or require many fine-tuning steps. To expand bead encoding strategies, we present a simple, safe, and cost-effective bench-top system for generating bead populations using photobleaching. By photobleaching commercially available dye-encoded magnetic beads for different durations, we produce three times as many differentiable bead populations on flow cytometry from a single dye color. Our photobleaching system uses a high-power LED module connected to a light concentrator and a heat sink. The beads are photobleached in solution homogeneously by constant mixing. We demonstrate this photobleaching method can be utilized for cross-testing antibodies, which is the first step in developing immunoassays. The assay uses multiple photobleached encoded beads conjugated with capture antibodies to test many binding pairs simultaneously. To further expand the number of antibodies that can be tested at once, several antibodies were conjugated to the same bead, forming a pooled assay. Our assay predicts the performance of antibody pairs used in ultrasensitive Simoa assays, narrowing the number of cross-tested pairs that need to be tested by at least two-thirds and, therefore, providing a rapid alternative for an initial antibody pair screening. The photobleaching system can be utilized for other applications, such as multiplexing, and for photobleaching other particles in solution.
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Affiliation(s)
- Shira Roth
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA 02115, USA.
- Harvard Medical School, Boston, MA 02115, USA
| | - Tom Ferrante
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA
| | - David R Walt
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA 02115, USA.
- Harvard Medical School, Boston, MA 02115, USA
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4
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Wang Y, Chen J, Zhang Y, Yang Z, Zhang K, Zhang D, Zheng L. Advancing Microfluidic Immunity Testing Systems: New Trends for Microbial Pathogen Detection. Molecules 2024; 29:3322. [PMID: 39064900 PMCID: PMC11279515 DOI: 10.3390/molecules29143322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 07/10/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
Pathogenic microorganisms play a crucial role in the global disease burden due to their ability to cause various diseases and spread through multiple transmission routes. Immunity tests identify antigens related to these pathogens, thereby confirming past infections and monitoring the host's immune response. Traditional pathogen detection methods, including enzyme-linked immunosorbent assays (ELISAs) and chemiluminescent immunoassays (CLIAs), are often labor-intensive, slow, and reliant on sophisticated equipment and skilled personnel, which can be limiting in resource-poor settings. In contrast, the development of microfluidic technologies presents a promising alternative, offering automation, miniaturization, and cost efficiency. These advanced methods are poised to replace traditional assays by streamlining processes and enabling rapid, high-throughput immunity testing for pathogens. This review highlights the latest advancements in microfluidic systems designed for rapid and high-throughput immunity testing, incorporating immunosensors, single molecule arrays (Simoas), a lateral flow assay (LFA), and smartphone integration. It focuses on key pathogenic microorganisms such as SARS-CoV-2, influenza, and the ZIKA virus (ZIKV). Additionally, the review discusses the challenges, commercialization prospects, and future directions to advance microfluidic systems for infectious disease detection.
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Affiliation(s)
- Yiran Wang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Jingwei Chen
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Yule Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Zhijin Yang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Kaihuan Zhang
- 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Dawei Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
| | - Lulu Zheng
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai 200093, China
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5
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Dong R, Yi N, Jiang D. Advances in single molecule arrays (SIMOA) for ultra-sensitive detection of biomolecules. Talanta 2024; 270:125529. [PMID: 38091745 DOI: 10.1016/j.talanta.2023.125529] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/25/2023] [Accepted: 12/05/2023] [Indexed: 01/27/2024]
Abstract
In the contemporary era of scientific and medical advancements, the accurate and ultra-sensitive detection of proteins, nucleic acids and metabolites plays a pivotal role in disease diagnosis and treatment monitoring. Single-molecule detection technologies play a great role in achieving this goal. In recent years, digital detection methods based on single molecule arrays (SIMOA) have brought groundbreaking contributions to the field of single-molecule detection. By confining the target molecules to femtoliter-sized containers, the SIMOA technology achieves detection sensitivity of attomolar. This review delves into the historical evolution and fundamentals of SIMOA technology, summarizes various approaches to optimize its performance, and describes the applications of SIMOA for the ultrasensitive detection of biomarkers for diseases such as cancer, COVID-19, and neurological disorders, as well as in DNA detection. Currently, some SIMOA technologies have been realized for high-throughput and multiplexed detection. It is believed that SIMOA technology will play a significant role in medical monitoring and disease prevention in the future.
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Affiliation(s)
- Renkai Dong
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Ning Yi
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Dechen Jiang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China.
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6
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Nziza N, Deng Y, Wood L, Dhanoa N, Dulit-Greenberg N, Chen T, Kane AS, Swank Z, Davis JP, Demokritou M, Chitnis AP, Fasano A, Edlow AG, Jain N, Horwitz BH, McNamara RP, Walt DR, Lauffenburger DA, Julg B, Shreffler WG, Alter G, Yonker LM. Humoral profiles of toddlers and young children following SARS-CoV-2 mRNA vaccination. Nat Commun 2024; 15:905. [PMID: 38291080 PMCID: PMC10827750 DOI: 10.1038/s41467-024-45181-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 01/17/2024] [Indexed: 02/01/2024] Open
Abstract
Although young children generally experience mild symptoms following infection with SARS-CoV-2, severe acute and long-term complications can occur. SARS-CoV-2 mRNA vaccines elicit robust immunoglobulin profiles in children ages 5 years and older, and in adults, corresponding with substantial protection against hospitalizations and severe disease. Whether similar immune responses and humoral protection can be observed in vaccinated infants and young children, who have a developing and vulnerable immune system, remains poorly understood. To study the impact of mRNA vaccination on the humoral immunity of infant, we use a system serology approach to comprehensively profile antibody responses in a cohort of children ages 6 months to 5 years who were vaccinated with the mRNA-1273 COVID-19 vaccine (25 μg). Responses are compared with vaccinated adults (100 μg), in addition to naturally infected toddlers and young children. Despite their lower vaccine dose, vaccinated toddlers elicit a functional antibody response as strong as adults, with higher antibody-dependent phagocytosis compared to adults, without report of side effects. Moreover, mRNA vaccination is associated with a higher IgG3-dependent humoral profile against SARS-CoV-2 compared to natural infection, supporting that mRNA vaccination is effective at eliciting a robust antibody response in toddlers and young children.
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Affiliation(s)
- Nadège Nziza
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Yixiang Deng
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Lianna Wood
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
- Boston Children's Hospital, Department of Pediatric Gastroenterology, Boston, MA, USA
| | - Navneet Dhanoa
- Massachusetts General Hospital, Department of Pediatrics, Boston, MA, USA
| | | | - Tina Chen
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Abigail S Kane
- Massachusetts General Hospital, Department of Pediatrics, Boston, MA, USA
- Massachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, MA, USA
| | - Zoe Swank
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Jameson P Davis
- Massachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, MA, USA
| | - Melina Demokritou
- Massachusetts General Hospital, Department of Pediatrics, Boston, MA, USA
| | - Anagha P Chitnis
- Massachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, MA, USA
| | - Alessio Fasano
- Massachusetts General Hospital, Department of Pediatrics, Boston, MA, USA
- Massachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Andrea G Edlow
- Harvard Medical School, Boston, MA, USA
- Massachusetts General Hospital, Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Boston, MA, USA
- Massachusetts General Hospital, Vincent Center for Reproductive Biology, Boston, MA, USA
| | - Nitya Jain
- Massachusetts General Hospital, Department of Pediatrics, Boston, MA, USA
- Massachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Bruce H Horwitz
- Harvard Medical School, Boston, MA, USA
- Boston Children's Hospital, Department of Emergency Medicine, Boston, MA, USA
| | - Ryan P McNamara
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - David R Walt
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Douglas A Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Boris Julg
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Wayne G Shreffler
- Massachusetts General Hospital, Department of Pediatrics, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Galit Alter
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Lael M Yonker
- Massachusetts General Hospital, Department of Pediatrics, Boston, MA, USA.
- Massachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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7
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Fan W, Ren W, Jia D, Shi J, Liu C. Digital-like Enzyme Inhibition Mechanism-Based Strategy for the Digital Sensing of Heparin-Specific Biomarkers. Anal Chem 2023; 95:13690-13697. [PMID: 37632468 DOI: 10.1021/acs.analchem.3c02983] [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: 08/28/2023]
Abstract
A new microbead (MB)-based digital flow cytometric sensing system is proposed for the sensitive detection of heparin-specific biomarkers, including heparin-binding protein (HBP) and heparinase. This strategy takes advantage of the inherent space-confined enzymatic behavior of T4 polynucleotide kinase phosphatase (T4 PNKP) around a single MB and the heparin's digital-like inhibitory effect on T4 PNKP. By integrating with an on-bead terminal deoxynucleotidyl transferase (TdT)-catalyzed fluorescence signal amplification technology, the concentration of HBP and heparinase can be digitally determined by the number of fluorescence-positive/-negative MBs which can be easily counted by flow cytometry. This is not only the first test to expand the application scenario of T4 PNKP to the digital detection of different biomarkers but also pioneers a new direction for fabricating digital biosensing platforms based on the enzyme inhibition mechanism.
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Affiliation(s)
- Wenjiao Fan
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
| | - Wei Ren
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
| | - Dailu Jia
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
| | - Jingjing Shi
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
| | - Chenghui Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
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8
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Sundaresan V, Metro J, Cutri AR, Palei M, Mannam V, Oh C, Hoffman AJ, Howard S, Bohn PW. Nanopore-Enabled Dark-Field Digital Sensing of Nanoparticles. Anal Chem 2023; 95:12993-12997. [PMID: 37615663 DOI: 10.1021/acs.analchem.3c02943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
In this study, we use nanopore arrays as a platform for detecting and characterizing individual nanoparticles (NPs) in real time. Dark-field imaging of nanopores with dimensions smaller than the wavelength of light occurs under conditions where trans-illumination is blocked, while the scattered light propagates to the far-field, making it possible to identify nanopores. The intensity of scattering increases dramatically during insertion of AgNPs into empty nanopores, owing to their plasmonic properties. Thus, momentary occupation of a nanopore by a AgNP produces intensity transients that can be analyzed to reveal the following characteristics: (1) NP scattering intensity, which scales with the sixth power of the AgNP radius, shows a normal distribution arising from the heterogeneity in NP size, (2) the nanopore residence time of NPs, which was observed to be stochastic with no permselective effects, and (3) the frequency of AgNP capture events on a 21 × 21 nanopore array, which varies linearly with the concentration of the NPs, agreeing with the frequency calculated from theory. The lower limit of detection (LOD) for NPs was 130 fM, indicating that the measurement can be used in applications in which ultrasensitive detection is required. The results presented here provide valuable insights into the dynamics of NP transport into and out of nanopores and highlight the potential of nanopore arrays as powerful, massively parallel tools for nanoparticle characterization and detection.
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Affiliation(s)
- Vignesh Sundaresan
- Department of Chemistry and Biochemistry, University of Mississippi, University, Mississippi 38655, United States
| | - Jarek Metro
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Allison R Cutri
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Milan Palei
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Varun Mannam
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Christiana Oh
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Anthony J Hoffman
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Scott Howard
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Paul W Bohn
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
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9
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Yonker LM, Swank Z, Bartsch YC, Burns MD, Kane A, Boribong BP, Davis JP, Loiselle M, Novak T, Senussi Y, Cheng CA, Burgess E, Edlow AG, Chou J, Dionne A, Balaguru D, Lahoud-Rahme M, Arditi M, Julg B, Randolph AG, Alter G, Fasano A, Walt DR. Circulating Spike Protein Detected in Post-COVID-19 mRNA Vaccine Myocarditis. Circulation 2023; 147:867-876. [PMID: 36597886 PMCID: PMC10010667 DOI: 10.1161/circulationaha.122.061025] [Citation(s) in RCA: 83] [Impact Index Per Article: 83.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 11/23/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND Cases of adolescents and young adults developing myocarditis after vaccination with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-targeted mRNA vaccines have been reported globally, but the underlying immunoprofiles of these individuals have not been described in detail. METHODS From January 2021 through February 2022, we prospectively collected blood from 16 patients who were hospitalized at Massachusetts General for Children or Boston Children's Hospital for myocarditis, presenting with chest pain with elevated cardiac troponin T after SARS-CoV-2 vaccination. We performed extensive antibody profiling, including tests for SARS-CoV-2-specific humoral responses and assessment for autoantibodies or antibodies against the human-relevant virome, SARS-CoV-2-specific T-cell analysis, and cytokine and SARS-CoV-2 antigen profiling. Results were compared with those from 45 healthy, asymptomatic, age-matched vaccinated control subjects. RESULTS Extensive antibody profiling and T-cell responses in the individuals who developed postvaccine myocarditis were essentially indistinguishable from those of vaccinated control subjects, despite a modest increase in cytokine production. A notable finding was that markedly elevated levels of full-length spike protein (33.9±22.4 pg/mL), unbound by antibodies, were detected in the plasma of individuals with postvaccine myocarditis, whereas no free spike was detected in asymptomatic vaccinated control subjects (unpaired t test; P<0.0001). CONCLUSIONS Immunoprofiling of vaccinated adolescents and young adults revealed that the mRNA vaccine-induced immune responses did not differ between individuals who developed myocarditis and individuals who did not. However, free spike antigen was detected in the blood of adolescents and young adults who developed post-mRNA vaccine myocarditis, advancing insight into its potential underlying cause.
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Affiliation(s)
- Lael M. Yonker
- Mucosal Immunology and Biology Research Center (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Department of Pediatrics (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., D.B., M.L.-R., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
| | - Zoe Swank
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA (Z.S., Y.S., C.-A.C., D.R.W.)
| | - Yannic C. Bartsch
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA (Y.C.B., E.B., B.J., G.A.)
| | - Madeleine D. Burns
- Mucosal Immunology and Biology Research Center (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Department of Pediatrics (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., D.B., M.L.-R., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
| | - Abigail Kane
- Mucosal Immunology and Biology Research Center (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Department of Pediatrics (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., D.B., M.L.-R., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
| | - Brittany P. Boribong
- Mucosal Immunology and Biology Research Center (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Department of Pediatrics (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., D.B., M.L.-R., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
| | - Jameson P. Davis
- Mucosal Immunology and Biology Research Center (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Department of Pediatrics (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., D.B., M.L.-R., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
| | - Maggie Loiselle
- Mucosal Immunology and Biology Research Center (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Department of Pediatrics (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., D.B., M.L.-R., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
| | - Tanya Novak
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Department of Anesthesiology, Critical Care and Pain Medicine (T.N., A.G.R.), Boston Children’s Hospital, MA
| | - Yasmeen Senussi
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA (Z.S., Y.S., C.-A.C., D.R.W.)
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA (Z.S., Y.S., C.-A.C., D.R.W.)
| | - Chi-An Cheng
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA (Z.S., Y.S., C.-A.C., D.R.W.)
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA (Z.S., Y.S., C.-A.C., D.R.W.)
| | - Eleanor Burgess
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA (Y.C.B., E.B., B.J., G.A.)
| | - Andrea G. Edlow
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology (A.G.E.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Vincent Center for Reproductive Biology (A.G.E.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Department of Anesthesiology, Critical Care and Pain Medicine (T.N., A.G.R.), Boston Children’s Hospital, MA
| | - Janet Chou
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Department of Pediatrics, Division of Immunology (J.C.), Boston Children’s Hospital, MA
| | - Audrey Dionne
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Department of Cardiology (A.D.), Boston Children’s Hospital, MA
| | - Duraisamy Balaguru
- Department of Pediatrics (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., D.B., M.L.-R., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
| | - Manuella Lahoud-Rahme
- Department of Pediatrics (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., D.B., M.L.-R., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
| | - Moshe Arditi
- Department of Pediatrics, Division of Infectious Diseases and Immunology, Infectious and Immunologic Diseases Research Center, and Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (M.A.)
| | - Boris Julg
- Department of Medicine (B.J.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA (Y.C.B., E.B., B.J., G.A.)
| | - Adrienne G. Randolph
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
| | - Galit Alter
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA (Y.C.B., E.B., B.J., G.A.)
| | - Alessio Fasano
- Mucosal Immunology and Biology Research Center (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Department of Pediatrics (L.M.Y., M.D.B., A.K., B.P.B., J.P.D., M.L., D.B., M.L.-R., A.F.), Division of Infectious Disease, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
| | - David R. Walt
- Harvard Medical School, Boston, MA (L.M.Y., Z.S., Y.C.B., B.P.B., T.N., Y.S., C.-A.C., J.C., A.D., D.B., M.L.-R., B.J., A.G.R., G.A., A.F., D.R.W.)
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA (Z.S., Y.S., C.-A.C., D.R.W.)
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA (Z.S., Y.S., C.-A.C., D.R.W.)
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10
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Fan W, Dong Y, Ren W, Liu C. Single microentity analysis-based ultrasensitive bioassays: Recent advances, applications, and perspectives. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.117035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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11
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Lin Z, Zou Z, Pu Z, Wu M, Zhang Y. Application of microfluidic technologies on COVID-19 diagnosis and drug discovery. Acta Pharm Sin B 2023; 13:S2211-3835(23)00061-8. [PMID: 36855672 PMCID: PMC9951611 DOI: 10.1016/j.apsb.2023.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/02/2023] [Accepted: 02/15/2023] [Indexed: 02/26/2023] Open
Abstract
The ongoing coronavirus disease 2019 (COVID-19) pandemic has boosted the development of antiviral research. Microfluidic technologies offer powerful platforms for diagnosis and drug discovery for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnosis and drug discovery. In this review, we introduce the structure of SARS-CoV-2 and the basic knowledge of microfluidic design. We discuss the application of microfluidic devices in SARS-CoV-2 diagnosis based on detecting viral nucleic acid, antibodies, and antigens. We highlight the contribution of lab-on-a-chip to manufacturing point-of-care equipment of accurate, sensitive, low-cost, and user-friendly virus-detection devices. We then investigate the efforts in organ-on-a-chip and lipid nanoparticles (LNPs) synthesizing chips in antiviral drug screening and mRNA vaccine preparation. Microfluidic technologies contribute to the ongoing SARS-CoV-2 research efforts and provide tools for future viral outbreaks.
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Affiliation(s)
- Zhun Lin
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Zhengyu Zou
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhe Pu
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Minhao Wu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Yuanqing Zhang
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
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12
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Fan W, Ren W, Liu C. Advances in optical counting and imaging of micro/nano single-entity reactors for biomolecular analysis. Anal Bioanal Chem 2023; 415:97-117. [PMID: 36322160 PMCID: PMC9628437 DOI: 10.1007/s00216-022-04395-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 10/14/2022] [Accepted: 10/19/2022] [Indexed: 11/07/2022]
Abstract
Ultrasensitive detection of biomarkers is of paramount importance in various fields. Superior to the conventional ensemble measurement-based assays, single-entity assays, especially single-entity detection-based digital assays, not only can reach ultrahigh sensitivity, but also possess the potential to examine the heterogeneities among the individual target molecules within a population. In this review, we summarized the current biomolecular analysis methods that based on optical counting and imaging of the micro/nano-sized single entities that act as the individual reactors (e.g., micro-/nanoparticles, microemulsions, and microwells). We categorize the corresponding techniques as analog and digital single-entity assays and provide detailed information such as the design principles, the analytical performance, and their implementation in biomarker analysis in this work. We have also set critical comments on each technique from these aspects. At last, we reflect on the advantages and limitations of the optical single-entity counting and imaging methods for biomolecular assay and highlight future opportunities in this field.
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Affiliation(s)
- Wenjiao Fan
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Xi’an, 710119 Shaanxi Province People’s Republic of China ,Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Xi’an, 710119 Shaanxi Province People’s Republic of China ,School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119 Shaanxi Province People’s Republic of China
| | - Wei Ren
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Xi’an, 710119 Shaanxi Province People’s Republic of China ,Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Xi’an, 710119 Shaanxi Province People’s Republic of China ,School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119 Shaanxi Province People’s Republic of China
| | - Chenghui Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Xi’an, 710119 Shaanxi Province People’s Republic of China ,Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Xi’an, 710119 Shaanxi Province People’s Republic of China ,School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119 Shaanxi Province People’s Republic of China
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13
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Wang W, Wu J, Zhao Z, Li Q, Huo B, Sun X, Han D, Liu M, Cai LC, Peng Y, Bai J, Gao Z. Ultrasensitive Automatic Detection of Small Molecules by Membrane Imaging of Single Molecule Assays. ACS APPLIED MATERIALS & INTERFACES 2022; 14:54914-54923. [PMID: 36459426 DOI: 10.1021/acsami.2c15373] [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: 06/17/2023]
Abstract
Determination of trace amounts of targets or even a single molecule target has always been a challenge in the detection field. Digital measurement methods established for single molecule counting of proteins, such as single molecule arrays (Simoa) or dropcast single molecule assays (dSimoa), are not suitable for detecting small molecule, because of the limited category of small molecule antibodies and the weak signal that can be captured. To address this issue, we have developed a strategy for single molecule detection of small molecules, called small molecule detection with single molecule assays (smSimoa). In this strategy, an aptamer is used as a recognition element, and an addressable DNA Nanoflower (DNF) attached on the magnetic beads surface, which exhibit fluorescence imaging, is employed as the output signal. Accompanied by digital imaging and automated counting analysis, E2 at the attomolar level can be measured. The smSimoa breaks the barrier of small molecule detection concentration and provides a basis for high throughput detection of multiple substances with fluorescence encoded magnetic beads.
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Affiliation(s)
- Weiya Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Foods, School of Food Science Synergetic Innovation Center of Food Safety and Nutrition, Jiangnan University, Wuxi 214122, Jiangsu, People's Republic of China
| | - Jin Wu
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Zunquan Zhao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Qiaofeng Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Foods, School of Food Science Synergetic Innovation Center of Food Safety and Nutrition, Jiangnan University, Wuxi 214122, Jiangsu, People's Republic of China
| | - Bingyang Huo
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Xuan Sun
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Dianpeng Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Mingzhu Liu
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Ling Chao Cai
- International Innovation Center for Forest Chemicals and Materials, College of Chemical Engineering, Nanjing Forestry University, Nanjing 210037, Jiangsu, People's Republic of China
| | - Yuan Peng
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Jialei Bai
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Zhixian Gao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
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14
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Ou F, Lai D, Kuang X, He P, Li Y, Jiang HW, Liu W, Wei H, Gu H, Ji YQ, Xu H, Tao SC. Ultrasensitive monitoring of SARS-CoV-2-specific antibody responses based on a digital approach reveals one week of IgG seroconversion. Biosens Bioelectron 2022; 217:114710. [PMID: 36174360 PMCID: PMC9476360 DOI: 10.1016/j.bios.2022.114710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/11/2022] [Accepted: 09/06/2022] [Indexed: 12/04/2022]
Abstract
COVID-19 is still unfolding, while many people have been vaccinated. In comparison to nucleic acid testing (NAT), antibody-based immunoassays are faster and more convenient. However, its application has been hampered by its lower sensitivity and the existing fact that by traditional immunoassays, the measurable seroconversion time of pathogen-specific antibodies, such as IgM or IgG, lags far behind that of nucleic acids. Herein, by combining the single molecule array platform (Simoa), RBD, and a previously identified SARS-CoV-2 S2 protein derivatized 12-aa peptide (S2-78), we developed and optimized an ultrasensitive assay (UIM-COVID-19 assay). Sera collected from three sources were tested, i.e., convalescents, inactivated virus vaccine-immunized donors and wild-type authentic SARS-CoV-2-infected rhesus monkeys. The sensitivities of UIM-COVID-19 assays are 100-10,000 times higher than those of conventional flow cytometry, which is a relatively sensitive detection method at present. For the established UIM-COVID-19 assay using RBD as a probe, the IgG and IgM seroconversion times after vaccination were 7.5 and 8.6 days vs. 21.4 and 24 days for the flow cytometry assay, respectively. In addition, using S2-78 as a probe, the UIM-COVID-19 assay could differentiate COVID-19 patients (convalescents) from healthy people and patients with other diseases, with AUCs ranging from 0.85-0.95. In summary, the UIM-COVID-19 we developed here is a promising ultrasensitive biodetection strategy that has the potential to be applied for both immunological studies and diagnostics.
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Affiliation(s)
- Feiyang Ou
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Danyun Lai
- Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xiaojun Kuang
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Ping He
- CAS Key Laboratory of Special Pathogens and Biosafety, Centre for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yang Li
- Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - He-Wei Jiang
- Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Wei Liu
- Hangzhou Joinstar Biotechnology Co., Ltd. Hangzhou, 310000, China
| | - Hongping Wei
- CAS Key Laboratory of Special Pathogens and Biosafety, Centre for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
| | - Hongchen Gu
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, China
| | | | - Hong Xu
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Sheng-Ce Tao
- Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China.
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15
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Yuan H, Chen P, Wan C, Li Y, Liu BF. Merging microfluidics with luminescence immunoassays for urgent point-of-care diagnostics of COVID-19. Trends Analyt Chem 2022; 157:116814. [PMID: 36373139 PMCID: PMC9637550 DOI: 10.1016/j.trac.2022.116814] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/29/2022] [Accepted: 10/30/2022] [Indexed: 11/09/2022]
Abstract
The Coronavirus disease 2019 (COVID-19) outbreak has urged the establishment of a global-wide rapid diagnostic system. Current widely-used tests for COVID-19 include nucleic acid assays, immunoassays, and radiological imaging. Immunoassays play an irreplaceable role in rapidly diagnosing COVID-19 and monitoring the patients for the assessment of their severity, risks of the immune storm, and prediction of treatment outcomes. Despite of the enormous needs for immunoassays, the widespread use of traditional immunoassay platforms is still limited by high cost and low automation, which are currently not suitable for point-of-care tests (POCTs). Microfluidic chips with the features of low consumption, high throughput, and integration, provide the potential to enable immunoassays for POCTs, especially in remote areas. Meanwhile, luminescence detection can be merged with immunoassays on microfluidic platforms for their good performance in quantification, sensitivity, and specificity. This review introduces both homogenous and heterogenous luminescence immunoassays with various microfluidic platforms. We also summarize the strengths and weaknesses of the categorized methods, highlighting their recent typical progress. Additionally, different microfluidic platforms are described for comparison. The latest advances in combining luminescence immunoassays with microfluidic platforms for POCTs of COVID-19 are further explained with antigens, antibodies, and related cytokines. Finally, challenges and future perspectives were discussed.
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Affiliation(s)
- Huijuan Yuan
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Peng Chen
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Chao Wan
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yiwei Li
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
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16
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Zhang D, Guo Y, Zhang L, Wang Y, Peng S, Duan S, Geng L, Zhang X, Wang W, Yang M, Wu G, Chen J, Feng Z, Wang X, Wu Y, Jiang H, Zhang Q, Sun J, Li S, He Y, Xiao M, Xu Y, Wang H, Liu P, Zhou Q, Luo H. Integrated System for On-Site Rapid and Safe Screening of COVID-19. Anal Chem 2022; 94:13810-13819. [PMID: 36184789 PMCID: PMC9578365 DOI: 10.1021/acs.analchem.2c02337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/22/2022] [Indexed: 12/04/2022]
Abstract
Since the outbreak of coronavirus disease 2019 (COVID-19), the epidemic has been spreading around the world for more than 2 years. Rapid, safe, and on-site detection methods of COVID-19 are in urgent demand for the control of the epidemic. Here, we established an integrated system, which incorporates a machine-learning-based Fourier transform infrared spectroscopy technique for rapid COVID-19 screening and air-plasma-based disinfection modules to prevent potential secondary infections. A partial least-squares discrimination analysis and a convolutional neural network model were built using the collected infrared spectral dataset containing 857 training serum samples. Furthermore, the sensitivity, specificity, and prediction accuracy could all reach over 94% from the results of the field test regarding 968 blind testing samples. Additionally, the disinfection modules achieved an inactivation efficiency of 99.9% for surface and airborne tested bacteria. The proposed system is conducive and promising for point-of-care and on-site COVID-19 screening in the mass population.
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Affiliation(s)
- Dongheyu Zhang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Yuntao Guo
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Liyang Zhang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Yao Wang
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | - Siqi Peng
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Simeng Duan
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | - Lin Geng
- JINSP
Co., Ltd., Beijing100083, China
| | | | - Wei Wang
- Shanghai
Customs Port Clinic, Shanghai International
Travel Healthcare Center, Shanghai200335, China
| | - Mengjie Yang
- Chinese
Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing102206, China
| | - Guizhen Wu
- Chinese
Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing102206, China
| | - Jiayi Chen
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Zihao Feng
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Xinyuan Wang
- Holy-shine
Technology Co., Ltd., Beijing100045, China
| | - Yue Wu
- Holy-shine
Technology Co., Ltd., Beijing100045, China
| | - Haotian Jiang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Qikang Zhang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Jingjun Sun
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Shenwei Li
- Shanghai
Customs Port Clinic, Shanghai International
Travel Healthcare Center, Shanghai200335, China
| | - Yuping He
- Shanghai
Customs Port Clinic, Shanghai International
Travel Healthcare Center, Shanghai200335, China
| | - Meng Xiao
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | - Yingchun Xu
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | | | - Peipei Liu
- Chinese
Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing102206, China
| | - Qun Zhou
- Department
of Chemistry, Tsinghua University, Beijing100084, China
| | - Haiyun Luo
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
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17
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Lin Z, Zhang J, Zou Z, Lu G, Wu M, Niu L, Zhang Y. A Dual‐Encoded Bead‐Based Immunoassay with Tunable Detection Range for COVID‐19 Serum Evaluation. Angew Chem Int Ed Engl 2022; 61:e202203706. [PMID: 35841187 PMCID: PMC9349931 DOI: 10.1002/anie.202203706] [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: 03/10/2022] [Indexed: 01/08/2023]
Abstract
Serological assay for coronavirus 2019 (COVID‐19) patients including asymptomatic cases can inform on disease progression and prognosis. A detection method taking into account multiplex, high sensitivity, and a wider detection range will help to identify and treat COVID‐19. Here we integrated color‐size dual‐encoded beads and rolling circle amplification (RCA) into a bead‐based fluorescence immunoassay implemented in a size sorting chip to achieve high‐throughput and sensitive detection. We used the assay for quantifying COVID‐19 antibodies against spike S1, nucleocapsid, the receptor binding domain antigens. It also detected inflammatory biomarkers including interleukin‐6, interleukin‐1β, procalcitonin, C‐reactive protein whose concentrations range from pg mL−1 to μg mL−1. Use of different size beads integrating with RCA results in a tunable detection range. The assay can be readily modified to simultaneously measure more COVID‐19 serological molecules differing by orders of magnitude.
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Affiliation(s)
- Zhun Lin
- School of Pharmaceutical Sciences Sun Yat-Sen University Guangzhou 510006 China
| | - Jie Zhang
- School of Pharmaceutical Sciences Sun Yat-Sen University Guangzhou 510006 China
| | - Zhengyu Zou
- Zhongshan School of Medicine Sun Yat-Sen University Guangzhou 510080 China
| | - Gen Lu
- Department Guangzhou Institute of Pediatrics Guangzhou Women and Children's Medical Centre Guangzhou Medical University Guangzhou 510120 China
| | - Minhao Wu
- Zhongshan School of Medicine Sun Yat-Sen University Guangzhou 510080 China
| | - Li Niu
- Center for Advanced Analytical Science School of Chemistry and Chemical Engineering Guangzhou University Guangzhou 510006 China
| | - Yuanqing Zhang
- School of Pharmaceutical Sciences Sun Yat-Sen University Guangzhou 510006 China
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18
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Lin Z, Zhang J, Zou Z, Lu G, Wu M, Niu L, Zhang Y. A Dual‐Encoded Bead‐Based Immunoassay with Tunable Detection Range for COVID‐19 Serum Evaluation. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202203706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Zhun Lin
- Sun Yat-Sen University School of Pharmaceutical Sciences CHINA
| | - Jie Zhang
- Sun Yat-Sen University School of Pharmaceutical Sciences CHINA
| | - Zhengyu Zou
- Sun Yat-Sen University Zhongshan School of Medicine CHINA
| | - Gen Lu
- Guangzhou Women and Children's Medical Center Department Guangzhou Institute of Pediatrics CHINA
| | - Minhao Wu
- Sun Yat-Sen University Zhongshan School of Medicine CHINA
| | - Li Niu
- Guangzhou University Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering CHINA
| | - Yuanqing Zhang
- Sun Yat-sen Universit School of Pharmaceutical Sciences 132 Waihuan East Road 510006 Guangzhou CHINA
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19
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Roth S, Margulis M, Danielli A. Recent Advances in Rapid and Highly Sensitive Detection of Proteins and Specific DNA Sequences Using a Magnetic Modulation Biosensing System. SENSORS (BASEL, SWITZERLAND) 2022; 22:4497. [PMID: 35746278 PMCID: PMC9230956 DOI: 10.3390/s22124497] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/08/2022] [Accepted: 06/10/2022] [Indexed: 06/15/2023]
Abstract
In early disease stages, biomolecules of interest exist in very low concentrations, presenting a significant challenge for analytical devices and methods. Here, we provide a comprehensive overview of an innovative optical biosensing technology, termed magnetic modulation biosensing (MMB), its biomedical applications, and its ongoing development. In MMB, magnetic beads are attached to fluorescently labeled target molecules. A controlled magnetic force aggregates the magnetic beads and transports them in and out of an excitation laser beam, generating a periodic fluorescent signal that is detected and demodulated. MMB applications include rapid and highly sensitive detection of specific nucleic acid sequences, antibodies, proteins, and protein interactions. Compared with other established analytical methodologies, MMB provides improved sensitivity, shorter processing time, and simpler protocols.
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