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Chang E, Jeon K, Lee N, Park MJ, Song W, Kim HS, Kim HS, Kim JS, Kim J, Jeong S. Clinical performance of the Roche Cobas Liat SARS-CoV-2 & influenza A/B assay: A systematic review and meta-analysis. J Clin Virol 2024; 174:105706. [PMID: 38908267 DOI: 10.1016/j.jcv.2024.105706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 05/17/2024] [Accepted: 06/05/2024] [Indexed: 06/24/2024]
Abstract
Respiratory tract infections caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza viruses are persistent and critical. The Cobas Liat SARS-CoV-2 & influenza A/B assay (Multiplex Liat), the FDA-authorized point-of-care reverse transcriptase polymerase chain reaction (RT-PCR) assay, has a turnaround time of 20 min and high accuracy. This study evaluates the pooled performance of this assay to provide practical information. This meta-analysis was registered in PROSPERO (registration number: CRD42023467579). A systematic literature search was conducted within PubMed, Ovid-EMBASE, and the Cochrane Library for articles evaluating the accuracy of the Multiplex Liat assay through September 2023. A random-effects model was used to calculate the pooled diagnostic values with real-time RT-PCR (rRT-PCR) as a reference test. A total of 4,705 samples from eight studies were included in the primary meta-analysis. The overall pooled sensitivity and specificity of Multiplex Liat were 100.0 % (95 % confidence interval [CI] = 96.7 %-100.0 %) and 99.7 % (95 % CI = 98.7 %-99.9 %), respectively. The presence of variants of concern or in-house rRT-PCR assays as reference standards did not significantly affect the pooled diagnostic performance of the Multiplex Liat. When 5,333 samples from nine studies were assessed for sensitivity, the pooled sensitivity was 100.0 % (95 % CI = 85.8 %-100.0 %) without a significant difference. This meta-analysis demonstrates the usefulness of Multiplex Liat for the detection of SARS-CoV-2 based on pooled diagnostic values. These practical findings may facilitate appropriate settings for the diagnosis and management of patients with respiratory tract infections.
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Affiliation(s)
- Eunjin Chang
- Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Kibum Jeon
- Department of Laboratory Medicine, Hallym University Hangang Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
| | - Nuri Lee
- Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Min-Jeong Park
- Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Wonkeun Song
- Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Hyun Soo Kim
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
| | - Han-Sung Kim
- Department of Laboratory Medicine, Hallym University Hospital, Hallym University College of Medicine, Anyang, South Korea
| | - Jae-Seok Kim
- Department of Laboratory Medicine, Hallym University Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
| | - Jimin Kim
- Division of Healthcare Technology Assessment Research, National Evidence-Based Healthcare Collaborating Agency, Seoul, South Korea
| | - Seri Jeong
- Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
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2
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Kumar N, Towers D, Myers S, Galvin C, Kireev D, Ellington AD, Akinwande D. Graphene Field Effect Biosensor for Concurrent and Specific Detection of SARS-CoV-2 and Influenza. ACS NANO 2023; 17:18629-18640. [PMID: 37703454 DOI: 10.1021/acsnano.3c07707] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
The SARS-CoV-2 pandemic has highlighted the need for devices capable of carrying out rapid differential detection of viruses that may manifest similar physiological symptoms yet demand tailored treatment plans. Seasonal influenza may be exacerbated by COVID-19 infections, increasing the burden on healthcare systems. In this work, we demonstrate a technology based on liquid-gated graphene field-effect transistors (GFETs), for rapid and ultraprecise sensing and differentiation of influenza and SARS-CoV-2 surface protein. Most distinctively, the device consists of 4 onboard GFETs arranged in a quadruple architecture, where each quarter is functionalized individually (with either antibodies or chemically passivated control) but measured jointly. The sensor platform was tested against a range of concentrations of viral surface proteins from both viruses with the lowest tested and detected concentration at ∼50 ag/mL, or 88 zM for COVID-19 and 227 zM for Flu, which is 5-fold lower than the values reported previously on a similar platform. Unlike the classic real-time polymerase chain reaction test, which has a turnaround time of a few hours, the graphene technology presents an ultrafast response time of ∼10 s even in complex and clinically relevant media such as saliva. Thus, we have developed a multianalyte, highly sensitive, and fault-tolerant technology for rapid diagnostic of contemporary, emerging, and future pandemics.
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Affiliation(s)
- Neelotpala Kumar
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Dalton Towers
- Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Samantha Myers
- College of Natural Sciences, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Cooper Galvin
- College of Natural Sciences, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Dmitry Kireev
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Biomedical Engineering, University of Massachusetts Amherst, Massachusetts 01003, United States
| | - Andrew D Ellington
- Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas at Austin, Austin, Texas 78712, United States
| | - Deji Akinwande
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
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3
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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. [PMCID: PMC9637550 DOI: 10.1016/j.trac.2022.116814] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/29/2022] [Accepted: 10/30/2022] [Indexed: 11/09/2022]
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4
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Bhosale YH, Patnaik KS. Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review. Neural Process Lett 2022; 55:1-53. [PMID: 36158520 PMCID: PMC9483290 DOI: 10.1007/s11063-022-11023-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2022] [Indexed: 01/09/2023]
Abstract
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth century. Covid-19 has already endangered the lives of millions of people worldwide due to its acute pulmonary effects. Image-based diagnostic techniques like X-ray, CT, and ultrasound are commonly employed to get a quick and reliable clinical condition. Covid-19 identification out of such clinical scans is exceedingly time-consuming, labor-intensive, and susceptible to silly intervention. As a result, radiography imaging approaches using Deep Learning (DL) are consistently employed to achieve great results. Various artificial intelligence-based systems have been developed for the early prediction of coronavirus using radiography pictures. Specific DL methods such as CNN and RNN noticeably extract extremely critical characteristics, primarily in diagnostic imaging. Recent coronavirus studies have used these techniques to utilize radiography image scans significantly. The disease, as well as the present pandemic, was studied using public and private data. A total of 64 pre-trained and custom DL models concerning imaging modality as taxonomies are selected from the studied articles. The constraints relevant to DL-based techniques are the sample selection, network architecture, training with minimal annotated database, and security issues. This includes evaluating causal agents, pathophysiology, immunological reactions, and epidemiological illness. DL-based Covid-19 detection systems are the key focus of this review article. Covid-19 work is intended to be accelerated as a result of this study.
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Affiliation(s)
- Yogesh H. Bhosale
- Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi 835215 India
| | - K. Sridhar Patnaik
- Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi 835215 India
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5
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Samadizadeh S, Nakstad B, Jamalpoor Z, Tahamtan A. COVID-19 diagnosis: lessons to learn and hints for preparedness. Expert Rev Mol Diagn 2022; 22:851-853. [PMID: 36197955 DOI: 10.1080/14737159.2022.2132852] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Saeed Samadizadeh
- Infectious Diseases Research Centre, Golestan University of Medical Sciences, Gorgan, Iran.,Department of Microbiology, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Britt Nakstad
- Division of Paediatric and Adolescent Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Paediatrics and Adolescent Health, University of Botswana, Gaborone, Botswana
| | - Zahra Jamalpoor
- Trauma Research Center, Aja University of Medical Sciences, Tehran, Iran
| | - Alireza Tahamtan
- Infectious Diseases Research Centre, Golestan University of Medical Sciences, Gorgan, Iran.,Department of Microbiology, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
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6
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Alharbi NK, Samman N, Alhayli S, Alghoribi MF, Almasoud A, Nehdi A. Development and Evaluation of Enzyme-Linked Viral Immune Capture Assay for Detection of SARS-CoV-2. Front Bioeng Biotechnol 2022; 10:898726. [PMID: 36003542 PMCID: PMC9393230 DOI: 10.3389/fbioe.2022.898726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/15/2022] [Indexed: 12/05/2022] Open
Abstract
The pandemic of COVID-19 was caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019 and it has prompted unprecedented research activities for vaccines, therapeutics, and diagnostics. The real-time reverse transcriptase-polymerase chain reaction (RT-PCR) is the gold standard method of diagnosis; however, immune-based assays offer cost-effective, deployable, easy-to-read solutions for diagnosis and surveillance. Here, we present the development, optimization, and testing of an enzyme-linked viral immune capture assay (ELVICA). It utilizes the spike antigen as the detected target of the virus and antibody-coated beads to capture the virus and enrich the detection. This method can be readout by luminescent and colorimetric equipment. It can also be visualized by the imaging system, offering a variety of detection approaches. ELVICA showed specificity to SARS-CoV-2-pseudotyped viruses as compared to MERS-CoV-pseudotyped viruses. As compared to RT-PCR, ELVICA showed high compatibility in detecting the virus in patient respiratory samples, especially for samples that are below a Ct value of 32 in RT-PCR. This assay is readily adaptable for detecting other pathogens and serves as a quick and affordable diagnostic tool.
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Affiliation(s)
- Naif Khalaf Alharbi
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Science (KSAU-HS), Riyadh, Saudi Arabia
| | - Nosaibah Samman
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Science (KSAU-HS), Riyadh, Saudi Arabia
| | - Sadeem Alhayli
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Science (KSAU-HS), Riyadh, Saudi Arabia
| | - Majed F. Alghoribi
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Science (KSAU-HS), Riyadh, Saudi Arabia
| | - Abdulrahman Almasoud
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Science (KSAU-HS), Riyadh, Saudi Arabia
| | - Atef Nehdi
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Science (KSAU-HS), Riyadh, Saudi Arabia
- Department of Life Sciences, Faculty of Sciences of Gabes, University of Gabes, Gabes, Tunisia
- *Correspondence: Atef Nehdi,
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Mandhan P, Sharma M, Pandey S, Chandel N, Chourasia N, Moun A, Sharma D, Sukar R, Singh N, Mathur S, Kotnala A, Negi N, Gupta A, Kumar A, Suresh Kumar R, Kumar P, Singh S. A Regional Pooling Intervention in a High-Throughput COVID-19 Diagnostic Laboratory to Enhance Throughput, Save Resources and Time Over a Period of 6 Months. Front Microbiol 2022; 13:858555. [PMID: 35756046 PMCID: PMC9218601 DOI: 10.3389/fmicb.2022.858555] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
An effective and rapid diagnosis has great importance in tackling the ongoing COVID-19 pandemic through isolation of the infected individuals to curb the transmission and initiation of specialized treatment for the disease. It has been proven that enhanced testing capacities contribute to efficiently curbing SARS-CoV-2 transmission during the initial phases of the outbreaks. RT-qPCR is considered a gold standard for the diagnosis of COVID-19. However, in resource-limited countries expenses for molecular diagnosis limits the diagnostic capacities. Here, we present interventions of two pooling strategies as 5 sample pooling (P-5) and 10 sample pooling (P-10) in a high-throughput COVID-19 diagnostic laboratory to enhance throughput and save resources and time over a period of 6 months. The diagnostic capacity was scaled-up 2.15-folds in P-5 and 1.8-fold in P-10, reagents (toward RNA extraction and RT-qPCR) were preserved at 75.24% in P-5 and 86.21% in P-10, and time saved was 6,290.93 h in P-5 and 3147.3 h in P-10.
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Affiliation(s)
- Prerna Mandhan
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Mansi Sharma
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Sushmita Pandey
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Neha Chandel
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Nidhi Chourasia
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Amit Moun
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Divyani Sharma
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Rubee Sukar
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Niyati Singh
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Shubhangi Mathur
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Aarti Kotnala
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Neetu Negi
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Ashish Gupta
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Anuj Kumar
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - R Suresh Kumar
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Pramod Kumar
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
| | - Shalini Singh
- ICMR-National Institute of Cancer Prevention and Research, Noida, India
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8
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Feng Y, Liu G, La M, Liu L. Colorimetric and Electrochemical Methods for the Detection of SARS-CoV-2 Main Protease by Peptide-Triggered Assembly of Gold Nanoparticles. Molecules 2022; 27:molecules27030615. [PMID: 35163874 PMCID: PMC8840628 DOI: 10.3390/molecules27030615] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/03/2022] [Accepted: 01/15/2022] [Indexed: 01/27/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease (Mpro) has been regarded as one of the ideal targets for the development of antiviral drugs. The currently used methods for the probing of Mpro activity and the screening of its inhibitors require the use of a double-labeled peptide substrate. In this work, we suggested that the label-free peptide substrate could induce the aggregation of AuNPs through the electrostatic interactions, and the cleavage of the peptide by the Mpro inhibited the aggregation of AuNPs. This fact allowed for the visual analysis of Mpro activity by observing the color change of the AuNPs suspension. Furthermore, the co-assembly of AuNPs and peptide was achieved on the peptide-covered electrode surface. Cleavage of the peptide substrate by the Mpro limited the formation of AuNPs/peptide assembles, thus allowing for the development of a simple and sensitive electrochemical method for Mpro detection in serum samples. The change of the electrochemical signal was easily monitored by electrochemical impedance spectroscopy (EIS). The detection limits of the colorimetric and electrochemical methods are 10 and 0.1 pM, respectively. This work should be valuable for the development of effective antiviral drugs and the design of novel optical and electrical biosensors.
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Affiliation(s)
- Yunxiao Feng
- College of Chemistry and Chemical Engineering, Pingdingshan University, Pingdingshan 467000, China;
| | - Gang Liu
- Henan Province of Key Laboratory of New Optoelectronic Functional Materials, College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China;
- College of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450011, China
| | - Ming La
- College of Chemistry and Chemical Engineering, Pingdingshan University, Pingdingshan 467000, China;
- Correspondence: (M.L.); (L.L.)
| | - Lin Liu
- Henan Province of Key Laboratory of New Optoelectronic Functional Materials, College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China;
- Correspondence: (M.L.); (L.L.)
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9
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Ye Q, Lu D, Zhang T, Mao J, Shang S. Application experience of a rapid nucleic acid detection system for COVID-19. Microbes Infect 2022; 24:104945. [PMID: 35093551 PMCID: PMC8801965 DOI: 10.1016/j.micinf.2022.104945] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 01/13/2022] [Accepted: 01/16/2022] [Indexed: 12/29/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is raging worldwide. The COVID-19 outbreak caused severe threats to the life and health of all humans caused by SARS-CoV-2. Clinically, there is an urgent need for an in vitro diagnostic product to detect SARS-CoV-2 nucleic acid quickly. Under this background, commercial SARS-CoV-2 nucleic acid POCT products came into being. However, how to choose these products and how to use these products in a standardized way have brought new puzzles to clinical laboratories. This paper focuses on evaluating the performance of these commercial SARS-CoV-2 nucleic acid POCT products and helps the laboratory make the correct choice. At the same time, to standardize the use of this kind of product, this paper also puts forward corresponding suggestions from six elements of total quality management, namely, human, machine, material, method, environment, and measurement. In addition, this paper also puts forward some ideas on the future development direction of POCT products.
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Affiliation(s)
- Qing Ye
- The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China
| | - Dezhao Lu
- School of Life Science, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Ting Zhang
- School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Jianhua Mao
- The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China.
| | - Shiqiang Shang
- The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China.
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10
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Mandal M, Dutta N, Dutta G. Aptamer-based biosensors and their implications in COVID-19 diagnosis. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:5400-5417. [PMID: 34751684 DOI: 10.1039/d1ay01519b] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a novel infectious member of the coronavirus family, has caused millions of cases of infection and deaths all over the world, and been declared a pandemic by the World Health Organization. Conventional laboratory-based diagnostic testing has faced extreme difficulties in meeting the overwhelming demand for testing worldwide, and this has brought about a pressing need for cost-effective rapid diagnosis. There has been a surge in the number of prototypes of diagnostic kits developed, although many of these have been found to be lacking in terms of their accuracy and sensitivity. One type of chip-based diagnostic platform is the aptamer-based biosensor. Aptamers are artificially synthesized oligonucleotides that are capable of specifically binding to a target antigen. As of now, some aptamers have been reported for SARS-CoV-2. Although many ultrasensitive aptasensors have been developed for viruses, few have been successfully adapted for SARS-CoV-2 detection. Our review discusses the recent developments in the domain of SARS-CoV-2 specific aptamer isolation, the design of electrochemical and optical aptasensors, and the implications of aptasensor-based COVID-19 diagnosis.
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Affiliation(s)
- Mukti Mandal
- School of Medical Science and Technology (SMST), Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India.
| | - Nirmita Dutta
- School of Medical Science and Technology (SMST), Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India.
| | - Gorachand Dutta
- School of Medical Science and Technology (SMST), Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India.
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Chauhan N, Soni S, Jain U. Optimizing testing regimes for the detection of COVID-19 in children and older adults. Expert Rev Mol Diagn 2021; 21:999-1016. [PMID: 34324823 PMCID: PMC8425447 DOI: 10.1080/14737159.2021.1962708] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 07/28/2021] [Indexed: 02/08/2023]
Abstract
Introduction: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection is a major pandemic and continuously emerging due to unclear prognosis and unavailability of reliable detection tools. Older adults are more susceptible to COVID-19 than children showing mature Angiotensin-Converting Enzyme 2 (ACE2), low concentration of immune targets, and comorbid conditions. Several detection platforms have been commercialized to date and more are in pipeline, however, the rate of false-positive results and rapid mutation of SARS-CoV-2 is increasing. Additionally, physiological, and geographical variations of affected individuals are also calling for diagnostic methods optimization.Areas Covered: Extensive information related to the optimization and usefulness of SARS-CoV-2 diagnostic methods based on sensitivity and specificity as definitive and feasible investigative tools is discussed. Moreover, an option of combining laboratory diagnostic methods to improve diagnostic strategies is also proposed and discussed in the comparative section of optimization studies.Expert Opinion: The review article explains the importance of optimization strategies for SARS-CoV-2 detection in children and older adults. There are advancements in COVID-19 detection including CRISPR-based, electrochemical, and optical-based sensing systems. However, the lack of sufficient studies on a comparative evaluation of standardized SARS-CoV-2 diagnostic methods among children and older adults, limit the authentication of commercialized kits.
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Affiliation(s)
- Nidhi Chauhan
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India
| | - Shringika Soni
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India
| | - Utkarsh Jain
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India
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12
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Soni S, Namdeo Pudake R, Jain U, Chauhan N. A systematic review on SARS-CoV-2-associated fungal coinfections. J Med Virol 2021; 94:99-109. [PMID: 34570905 PMCID: PMC8661750 DOI: 10.1002/jmv.27358] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 08/16/2021] [Accepted: 09/23/2021] [Indexed: 01/08/2023]
Abstract
A severe pandemic of Coronavirus Disease (COVID‐19) has been sweeping the globe since 2019, and this time, it did not stop, with frequent mutations transforming into virulent strains, for instance, B.1.1.7, B.1.351, and B.1.427. In recent months, a fungal infection, mucormycosis has emerged with more fatal responses and significantly increased mortality rate. To measure the severity and potential alternative approaches against black fungus coinfection in COVID‐19 patients, PubMed, Google Scholar, World Health Organization (WHO) newsletters, and other online resources, based on the cases reported and retrospective observational analysis were searched from the years 2015–2021. The studies reporting mucormycosis with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2) coinfection and/or demonstrating potential risk factors, such as a history of diabetes mellitus or suppressed immune system were included, and reports published in non‐English language were excluded. More than 20 case reports and observational studies on black fungus coinfection in COVID‐19 patients were eligible for inclusion. The results indicated that diabetes mellitus, hyperglycemic, and immunocompromised COVID‐19 patients with mucormycosis were at a higher risk. We found that it was prudent to assess the potential risk factors and severity of invasive mycosis via standardized diagnostic and clinical settings. Large‐scale studies need to be conducted to identify early biomarkers and optimization of diagnostic methods has to be established per population and geographical variation. This will not only help clinicians around the world to detect the coinfection in time but also will prepare them for future outbreaks of other potential pandemics. Observational studies and case reports of Post‐COVID black fungus co‐infection highlighted in review. Along with risk factors, radiological interventions of black fungus co‐infection in COVID‐19 patients and challenges for accurate diagnosis were elaborated. The review discusses interconnection between fungus and SARS‐CoV‐2 co‐infection of mechanism to identify potential biomarkers. Our conclusion will contribute to motivate researchers to design follow‐up plans for black fungus infection in COVID‐19.
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Affiliation(s)
- Shringika Soni
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India
| | - Ramesh Namdeo Pudake
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India
| | - Utkarsh Jain
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India
| | - Nidhi Chauhan
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India
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Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of COVID-19. Testing for SARS-CoV-2 infection is a critical element of the public health response to COVID-19. Point-of-care (POC) tests can drive patient management decisions for infectious diseases, including COVID-19. POC tests are available for the diagnosis of SARS-CoV-2 infections and include those that detect SARS-CoV-2 antigens as well as amplified RNA sequences. We provide a review of SARS-CoV-2 POC tests including their performance, settings for which they might be used, their impact and future directions. Further optimization and validation, new technologies as well as studies to determine clinical and epidemiological impact of SARS-CoV-2 POC tests are needed.
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Bag Soytas R, Cengiz M, Islamoglu MS, Uysal BB, Ikitimur H, Yavuzer H, Yavuzer S. Does the COVID-19 seroconversion in older adults resemble the young? J Med Virol 2021; 93:5777-5782. [PMID: 34042191 PMCID: PMC8242906 DOI: 10.1002/jmv.27106] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 05/07/2021] [Accepted: 05/24/2021] [Indexed: 01/01/2023]
Abstract
High antibody titers have been found to correlate with the severity of coronavirus disease 2019 (COVID‐19) disease. Therefore, antibody titers may be higher in older adults, whose disease is known to have a more severe course than younger ones. This study aimed to compare the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) immunoglobulin G (IgG) antibody level in the reverse transcription‐polymerase chain reaction (RT‐PCR) to test positive older adults with young. Patients aged ≥18 with positive RT‐PCR and checked serum IgG antibodies between November 1, 2020 and January 13, 2021 were included. The IgG antibody levels and the time between RT‐PCR positivity with the antibody levels were recorded. A total of 1071 patients were divided into two groups as Group 1 <60 years old (n = 902) and Group 2 ≥60 years old (n = 169). The SARS‐CoV‐2 IgG antibody titers were higher in Group 2 (p = 0.001). This height was present in the first 3 months after positive RT‐PCR. While the antibody titers were compared by dividing Group 2 into the three groups according to age ranges (60–69, 70–79, and ≥80 years), the antibody titer was higher in ≥80 years patients (p = 0.044). High COVID‐19 IgG antibody levels may be associated with the severity of the disease. Also, the humoral immunity advantage was seen in the first 3 months in the older patients, which suggests that older adults with COVID‐19 may develop reinfection in the long term.
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Affiliation(s)
- Rabia Bag Soytas
- Division of Geriatrics, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Mahir Cengiz
- Department of Internal Medicine, Biruni University Medical Faculty, Istanbul, Turkey
| | - Mehmet Sami Islamoglu
- Department of Internal Medicine, Biruni University Medical Faculty, Istanbul, Turkey
| | - Betul Borku Uysal
- Department of Internal Medicine, Biruni University Medical Faculty, Istanbul, Turkey
| | - Hande Ikitimur
- Department of Pulmonary Diseases, Biruni University Medical Faculty, Istanbul, Turkey
| | - Hakan Yavuzer
- Division of Geriatrics, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Serap Yavuzer
- Department of Internal Medicine, Biruni University Medical Faculty, Istanbul, Turkey
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