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Gong H, Cai G, Chen C, Chen F, Cai C. Construction of a monoclonal molecular imprinted sensor with high affinity for specific recognition of influenza a virus subtype. Talanta 2024; 278:126568. [PMID: 39018763 DOI: 10.1016/j.talanta.2024.126568] [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: 04/13/2024] [Revised: 06/26/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
Although molecular imprinting technology has been widely used in the construction of virus sensors, it is still a great challenge to identify subtypes viruses specifically because of their high similarity in morphology, size and structure. Here, a monoclonal molecular imprinted polymers (MIPs) sensor for recognition of H5N1 is constructed to permit the accurate distinguishing of H5N1 from other influenza A virus (IAV) subtypes. Firstly, H5N1 are immobilized on magnetic microspheres to produce H5N1-MagNPs, then the high affinity nanogel H5N1-MIPs is prepared by solid phase imprinting technique. When H5N1-MIPs is combined with MagNP-H5N1, different concentrations of H5N1 are added for competitive substitution. The quantitative detection of H5N1 is realized by the change of fluorescence intensity of supernatant. As expected, the constructed sensor shows satisfactory selectivity, and can identify the target virus from highly similar IAV subtypes, such as H1N1, H7N9 and H9N2. The sensor was highly sensitive, with a detection limit of 0.58 fM, and a selectivity factor that is comparable to that of other small MIPs sensors is achieved. In addition, the proposed sensor is cheap, with a cost of only RMB 0.08 yuan. The proposed monoclonal sensor provides a new method for the specific recognition of designated virus subtype, which is expected to be used for large-scale screening and accurate treatment of infected people.
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Affiliation(s)
- Hang Gong
- College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, 650500, China; The Key Laboratory for Green Organic Synthesis and Application of Hunan Province, College of Chemistry, Xiangtan University, Xiangtan, 411105, China.
| | - Ganping Cai
- The Key Laboratory for Green Organic Synthesis and Application of Hunan Province, College of Chemistry, Xiangtan University, Xiangtan, 411105, China
| | - Chunyan Chen
- The Key Laboratory for Green Organic Synthesis and Application of Hunan Province, College of Chemistry, Xiangtan University, Xiangtan, 411105, China
| | - Feng Chen
- The Key Laboratory for Green Organic Synthesis and Application of Hunan Province, College of Chemistry, Xiangtan University, Xiangtan, 411105, China
| | - Changqun Cai
- The Key Laboratory for Green Organic Synthesis and Application of Hunan Province, College of Chemistry, Xiangtan University, Xiangtan, 411105, China.
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A large A(H3N2) influenza outbreak with a high attack rate in a drug user community in Italy, April 2022. Epidemiol Infect 2023; 151:e36. [PMID: 36655522 PMCID: PMC9990381 DOI: 10.1017/s0950268823000055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Despite the COVID-19 pandemic, influenza remains an important issue. Especially in community settings, influenza outbreaks can be difficult to control and can result in high attack rates. In April 2022, a large A(H3N2) influenza outbreak spread in the largest Italian drug-rehabilitation community. One hundred eighty-four individuals presented influenza-like symptoms (attack rate of 26.2%); 56% previously received the influenza vaccine. Sequence analyses highlighted a genetic drift from the vaccine strain, which may have caused the observed lack of protection.
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Santos ACF, Martel F, Freire CSR, Ferreira BJML. Polymeric Materials as Indispensable Tools to Fight RNA Viruses: SARS-CoV-2 and Influenza A. Bioengineering (Basel) 2022; 9:816. [PMID: 36551022 PMCID: PMC9816944 DOI: 10.3390/bioengineering9120816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/03/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
Towards the end of 2019 in Wuhan, suspicions of a new dangerous virus circulating in the air began to arise. It was the start of the world pandemic coronavirus disease 2019 (COVID-19). Since then, considerable research data and review papers about this virus have been published. Hundreds of researchers have shared their work in order to achieve a better comprehension of this disease, all with the common goal of overcoming this pandemic. The coronavirus is structurally similar to influenza A. Both are RNA viruses and normally associated with comparable infection symptoms. In this review, different case studies targeting polymeric materials were appraised to highlight them as an indispensable tool to fight these RNA viruses. In particular, the main focus was how polymeric materials, and their versatile features could be applied in different stages of viral disease, i.e., in protection, detection and treatment.
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Affiliation(s)
- Ariana C. F. Santos
- CICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Fátima Martel
- Biochemistry Unit, Biomedicine Department, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
- I3S-Institute of Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal
| | - Carmen S. R. Freire
- CICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Bárbara J. M. L. Ferreira
- CICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
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Ramirez-Perez JC, Durigo D. Surface-Enhanced Raman Spectroscopy (SERS) for characterization SARS-CoV-2. JOURNAL OF SAUDI CHEMICAL SOCIETY 2022. [PMCID: PMC9375255 DOI: 10.1016/j.jscs.2022.101531] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
We used SERS with silver nanoparticles (AgNPs) as the active substrate to develop a, simple, quick, and accurate method for the detection and characterization SARS-CoV-2 without the need for RNA isolation and purification. Inactivated SARS-CoV-2 was used. The SERS signals were more than 105 times enhanced than the normal Raman (NR) spectra. The SERS spectra of SARS-CoV-2 fingerprint revealed pronounced intensity signals of nucleic acids; aromatic amino acid side chains: 1007 cm−1 (Phe marker), 1095 cm−1 (CN and PO2− markers), 1580 cm−1 (Tyr, Trp markers). Vibrations of the protein main chain: 1144 cm−1 (CN and NH2 markers), 1221 cm−1 (CN and NH markers), 1270 cm−1 (NH2 marker), 1453 cm−1 (CHCH2 marker). All of these biomolecules could be adsorbed on the AgNPs surface's dense hot patches. The intensity of the SERS band varied with the concentration of SARS-CoV-2, with a virus detection limit of less than 103 vp/mL and RSDs of 20 %.
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Zhang Q, Rawal G, Qian J, Ibrahim H, Zhang J, Dong L, Lu M. An integrated magneto-opto-fluidic biosensor for rapid on-chip assay of respiratory viruses of livestock. LAB ON A CHIP 2022; 22:3236-3244. [PMID: 35875988 DOI: 10.1039/d2lc00406b] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Respiratory disease is one of the most important causes of economic loss in swine production. In the USA, porcine reproductive and respiratory syndrome virus (PRRSV) and influenza A virus (IAV) are currently the top two primary viruses causing swine respiratory diseases. The commonly used PCR-based virus detection methods require virus extraction, nucleic acid purification, and detection, which are relatively time-consuming and expensive. This work reports an integrated magneto-opto-fluidic (iMOF) platform, in which antibody functionalized magnetic nanoparticles (MNPs) can enable efficient enrichment of multiple swine respiratory viruses and a photonic crystal (PC) biosensor can transduce the amount of captured MNP-virus nanoparticles to the change of their reflection signatures. Owing to the high refractive index of Fe2O3 MNPs, the use of MNPs can significantly enhance the PC sensor output. The proof-of-concept validation involves using antibody-functionalized MNPs to recognize IAV and PRRSV and transferring the formed MNP-virus conjugates onto the surface of the PC biosensors to quantify these viruses. The iMOF platform offers a high sensitivity of 3.5 TCID50 mL-1 and 5.9 TCID50 mL-1 for detecting IAV and PRRSV, respectively, and a rapid turnaround within one hour, including the MNP-virus conjugation, enrichment, and detection. The on-chip virus platform has a great potential for in-field surveillance of viral infections.
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Affiliation(s)
- Qinming Zhang
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA.
| | - Gaurav Rawal
- Department of Veterinary Diagnostic & Production Animal Medicine, Iowa State University, Ames, Iowa 50011, USA
| | - Jingjing Qian
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA.
| | - Hussam Ibrahim
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA.
| | - Jianqiang Zhang
- Department of Veterinary Diagnostic & Production Animal Medicine, Iowa State University, Ames, Iowa 50011, USA
| | - Liang Dong
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA.
- Microelectronics Research Centre, Iowa State University, Ames, Iowa 50011, USA
| | - Meng Lu
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA.
- Microelectronics Research Centre, Iowa State University, Ames, Iowa 50011, USA
- Department of Mechanical Engineering, Iowa State University, Ames, Iowa 50011, USA
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Leite JA, Vicari A, Perez E, Siqueira M, Resende P, Motta FC, Freitas L, Fernandez J, Parra B, Castillo A, Fasce R, Martinez Caballero AA, Gresh L, Aldighieri S, Gabastou JM, Franco L, Mendez-Rico J. Implementation of a COVID-19 Genomic Surveillance Regional Network for Latin America and Caribbean region. PLoS One 2022; 17:e0252526. [PMID: 35239677 PMCID: PMC8893691 DOI: 10.1371/journal.pone.0252526] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 01/27/2022] [Indexed: 11/25/2022] Open
Abstract
The timely release of SARS-CoV-2 first genomic sequences allowed the identification of the etiologic agent and development of diagnostic protocols. Genomic sequencing was a crucial step in generating data for driving laboratory response and detections of SARS-CoV-2 since the start of the COVID-19 pandemic. Because of all the progression and achievements that timely release of genetic sequence data represents in the public health response, the Pan American Health Organization (PAHO) in collaboration with countries' public health laboratories, started implementation of a network for strengthening the Latin America and Caribbean (LAC) region on timely generation of SARS-CoV-2 genomic data. Here we describe the implementation of the COVID-19 Genomic Surveillance Regional Network in the Americas region during the beginning of the pandemic. The establishment of this network has strengthened laboratory response capacity at the country level, as well as facilitated timely release of SARS-CoV-2 genomic information to be used to complement the multiple response strategies for COVID-19 pandemic mitigation. As genomic epidemiology is useful for guiding public health decisions on outbreak and response, we also analysed the first SARS-CoV-2 genomic sequence data from countries of the Latin America and Caribbean Region.
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Affiliation(s)
- Juliana Almeida Leite
- Health Emergencies Department, Pan American Health Organization, Washington, DC, United States of America
| | - Andrea Vicari
- Health Emergencies Department, Pan American Health Organization, Washington, DC, United States of America
| | - Enrique Perez
- Health Emergencies Department, Pan American Health Organization, Washington, DC, United States of America
| | - Marilda Siqueira
- Laboratorio de Virus Respiratorio, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Paola Resende
- Laboratorio de Virus Respiratorio, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Fernando Couto Motta
- Laboratorio de Virus Respiratorio, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Lucas Freitas
- Laboratorio de Virus Respiratorio, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Jorge Fernandez
- Subdepartamento Genética Molecular, Instituto de Salud Pública de Chile, Santiago, Chile
| | - Barbara Parra
- Subdepartamento Genética Molecular, Instituto de Salud Pública de Chile, Santiago, Chile
| | - Andrés Castillo
- Subdepartamento Genética Molecular, Instituto de Salud Pública de Chile, Santiago, Chile
| | - Rodrigo Fasce
- Subdepartamento Enfermidades Virales, Instituto de Salud Pública de Chile, Santiago, Chile
| | | | | | - Lionel Gresh
- Health Emergencies Department, Pan American Health Organization, Washington, DC, United States of America
| | - Sylvain Aldighieri
- Health Emergencies Department, Pan American Health Organization, Washington, DC, United States of America
| | - Jean-Marc Gabastou
- Health Emergencies Department, Pan American Health Organization, Washington, DC, United States of America
| | - Leticia Franco
- Health Emergencies Department, Pan American Health Organization, Washington, DC, United States of America
| | - Jairo Mendez-Rico
- Health Emergencies Department, Pan American Health Organization, Washington, DC, United States of America
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SF-qPCR: Strand Displacement-Based Fast Quantitative Polymerase Chain Reaction. BIOCHIP JOURNAL 2022; 16:41-48. [PMID: 35096279 PMCID: PMC8790009 DOI: 10.1007/s13206-021-00044-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/22/2021] [Accepted: 12/26/2021] [Indexed: 11/02/2022]
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Household Clusters of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in Suzhou, China. BIOMED RESEARCH INTERNATIONAL 2021; 2021:5565549. [PMID: 34664026 PMCID: PMC8520496 DOI: 10.1155/2021/5565549] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 05/27/2021] [Accepted: 09/12/2021] [Indexed: 01/08/2023]
Abstract
Objectives The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging virus causing substantial morbidity and mortality worldwide. We performed a cross-sectional investigation of SARS-CoV-2 clusters in Suzhou to determine the transmissibility of the virus among close contacts and to assess the demographic and clinical characteristics between index and secondary cases. Methods We review the clustered patients with SARS-CoV-2 infections in Suzhou between 22 January and 29 February 2020. The demographic and clinical characteristics were compared between index and secondary cases. We calculated the basic reproduction number (R0) among close contacts with SLI model. Results By 22 February, 87 patients with SARS-CoV-2 infection were reported, including 50 sporadic and 37 clustered cases, who were generated from 13 clusters. On admission, 5 (20.8%) out of 24 secondary cases were asymptomatic. The male ratio of index cases was significantly higher than that of secondary cases. Additionally, the index cases were more likely to have fever and increased CRP levels than the secondary cases. The R0 values of clusters displayed a significantly declining trend over time for all clusters. The relative risk of infection in blood-related contacts of cases versus unrelated contacts was 1.60 for SARS-CoV-2 (95% CI: 0.42-2.95). Conclusions In conclusion, SARS-CoV-2 has great person-to-person transmission capability among close contacts. The secondary cases are more prone to have mild symptoms than index cases. There is no increased RR of secondary infection in blood relatives versus unrelated contacts. The high rate of asymptomatic SARS-CoV-2 infections highlights the urgent need to enhance active case finding strategy for early detection of infectious patients.
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Sharifi M, Hasan A, Haghighat S, Taghizadeh A, Attar F, Bloukh SH, Edis Z, Xue M, Khan S, Falahati M. Rapid diagnostics of coronavirus disease 2019 in early stages using nanobiosensors: Challenges and opportunities. Talanta 2021; 223:121704. [PMID: 33303154 PMCID: PMC7521920 DOI: 10.1016/j.talanta.2020.121704] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 09/21/2020] [Accepted: 09/22/2020] [Indexed: 01/08/2023]
Abstract
The rapid outbreak of coronavirus disease 2019 (COVID-19) around the world is a tragic and shocking event that demonstrates the unpreparedness of humans to develop quick diagnostic platforms for novel infectious diseases. In fact, statistical reports of diagnostic tools show that their accuracy, specificity and sensitivity in the detection of COVID hampered by some challenges that can be eliminated by using nanoparticles (NPs). In this study, we aimed to present an overview on the most important ways to diagnose different kinds of viruses followed by the introduction of nanobiosensors. Afterward, some methods of COVID-19 detection such as imaging, laboratory and kit-based diagnostic tests are surveyed. Furthermore, nucleic acids/protein- and immunoglobulin (Ig)-based nanobiosensors for the COVID-19 detection infection are reviewed. Finally, current challenges and future perspective for the development of diagnostic or monitoring technologies in the control of COVID-19 are discussed to persuade the scientists in advancing their technologies beyond imagination. In conclusion, it can be deduced that as rapid COVID-19 detection infection can play a vital role in disease control and treatment, this review may be of great help for controlling the COVID-19 outbreak by providing some necessary information for the development of portable, accurate, selectable and simple nanobiosensors.
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Affiliation(s)
- Majid Sharifi
- Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China; Department of Nanotechnology, Faculty of Advanced Sciences and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
| | - Anwarul Hasan
- Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha 2713, Qatar; Biomedical Research Center, Qatar University, Doha 2713, Qatar
| | - Setareh Haghighat
- Department of Microbiology, Faculty of Advanced Sciences and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Akbar Taghizadeh
- Department of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
| | - Farnoosh Attar
- Department of Food Toxicology, Research Center of Food Technology and Agricultural Products, Standard Research Institute (SRI), Karaj, Iran
| | - Samir Haj Bloukh
- Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates
| | - Zehra Edis
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates
| | - Mengzhou Xue
- Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Suliman Khan
- Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Mojtaba Falahati
- Department of Nanotechnology, Faculty of Advanced Sciences and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
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Application of Nanoscale Materials and Nanotechnology Against Viral Infection: A Special Focus on Coronaviruses. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1352:173-193. [DOI: 10.1007/978-3-030-85109-5_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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11
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Singh N, Rai SN, Singh V, Singh MP. Molecular characterization, pathogen-host interaction pathway and in silico approaches for vaccine design against COVID-19. J Chem Neuroanat 2020; 110:101874. [PMID: 33091590 PMCID: PMC7571424 DOI: 10.1016/j.jchemneu.2020.101874] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 10/14/2020] [Accepted: 10/15/2020] [Indexed: 12/12/2022]
Abstract
COVID-19 has forsaken the world because of extremely high infection rates and high mortality rates. At present we have neither medicine nor vaccine to prevent this pandemic. Lockdowns, curfews, isolations, quarantines, and social distancing are the only ways to mitigate their infection. This is badly affecting the mental health of people. Hence, there is an urgent need to address this issue. Coronavirus disease 2019 (COVID-19) is caused by a novel Betacorona virus named SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) which has emerged in the city of Wuhan in China and declared a pandemic by WHO since it affected almost all the countries the world, infected 24,182,030 people and caused 825,798 death as per data are compiled from John Hopkins University (JHU). The genome of SARS-CoV-2 has a single-stranded positive (+) sense RNA of ∼30 kb nucleotides. Phylogenetic analysis reveals that SARS-CoV-2 shares the highest nucleotide sequence similarity (∼79 %) with SARS-CoV. Envelope and nucleocapsids are two evolutionary conserved regions of SARS-CoV-2 having a sequence identity of about 96 % and 89.6 %, respectively as compared to SARS-CoV. The characterization of SARS-CoV-2 is based on polymerase chain reaction (PCR) and metagenomic next-generation sequencing. Transmission of this virus in the human occurs through the respiratory tract and decreases the respiration efficiency of lungs. Humans are generally susceptible to SARS-CoV-2 with an incubation period of 2-14 days. The virus first infects the lower airway and bind with angiotensin-converting enzyme 2 (ACE2) of alveolar epithelial cells. Due to the unavailability of drugs or vaccines, it is very urgent to design potential vaccines or drugs for COVID-19. Reverse vaccinology and immunoinformatic play an important role in designing potential vaccines against SARS-CoV-2. The suitable vaccine selects for SARS-CoV-2 based on binding energy between the target protein and the designed vaccine. The stability and activity of the designed vaccine can be estimated by using molecular docking and dynamic simulation approaches. This review mainly focused on the brief up to date information about COVID-19, molecular characterization, pathogen-host interaction pathways involved during COVID-19 infection. It also covers potential vaccine design against COVID-19 by using various computational approaches. SARS-CoV-2 enters brain tissue through the different pathway and harm human's brain and causes severe neurological disruption.
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Affiliation(s)
- Nidhi Singh
- Centre of Bioinformatics, University of Allahabad, Prayagraj, 211002, India
| | - Sachchida Nand Rai
- Centre of Biotechnology, University of Allahabad, Prayagraj, 211002, India
| | - Veer Singh
- School of Biochemical Engineering, IIT (BHU) Varanasi, 221005, India
| | - Mohan P Singh
- Centre of Biotechnology, University of Allahabad, Prayagraj, 211002, India.
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Laser spectroscopic technique for direct identification of a single virus I: FASTER CARS. Proc Natl Acad Sci U S A 2020; 117:27820-27824. [PMID: 33093197 PMCID: PMC7668096 DOI: 10.1073/pnas.2013169117] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Surface features of a virus are very important in determining its virility. For example, the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds to the ACE2 receptor site of the host cell with a much stronger affinity than did the original SARS virus. Thus, it is clearly important to understand the virion surface structure. To that end, the present paper combines the spatial resolution of atomic force microscopy and the spectral resolution of coherent Raman spectroscopy. This combination of tip-enhanced microscopy using femtosecond adaptive spectroscopic techniques for coherent anti-Stokes Raman scattering (FAST CARS) with enhanced resolution (FASTER CARS) allows us to map a single virus particle with nanometer resolution and chemical specificity. From the famous 1918 H1N1 influenza to the present COVID-19 pandemic, the need for improved viral detection techniques is all too apparent. The aim of the present paper is to show that identification of individual virus particles in clinical sample materials quickly and reliably is near at hand. First of all, our team has developed techniques for identification of virions based on a modular atomic force microscopy (AFM). Furthermore, femtosecond adaptive spectroscopic techniques with enhanced resolution via coherent anti-Stokes Raman scattering (FASTER CARS) using tip-enhanced techniques markedly improves the sensitivity [M. O. Scully, et al., Proc. Natl. Acad. Sci. U.S.A. 99, 10994–11001 (2002)].
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Ji M, Xia Y, Loo JFC, Li L, Ho HP, He J, Gu D. Automated multiplex nucleic acid tests for rapid detection of SARS-CoV-2, influenza A and B infection with direct reverse-transcription quantitative PCR (dirRT-qPCR) assay in a centrifugal microfluidic platform. RSC Adv 2020; 10:34088-34098. [PMID: 35519051 PMCID: PMC9056731 DOI: 10.1039/d0ra04507a] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 09/06/2020] [Indexed: 12/24/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic, caused by the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, has posed a threat to public health worldwide. Also, influenza virus has caused a large number of deaths annually. Since co-infection of SARS-CoV-2 and influenza virus, which share similar symptoms, hampers current treatment efficiency, multiple simultaneous detection of these viruses is needed to provide the right treatment for patients. We developed a microfluidic disc-direct RT-qPCR (dirRT-qPCR) assay for rapid multiplex detection of SARS-CoV-2, influenza A and B viral infection in pharyngeal swab samples in an automated manner. Choices of the DNA polymerase, concentrations of dTPs and MgCl2 were characterized to optimize the assay. A detection limit of 2 × 101 copies per reaction was found in all three viral RNAs with as little as 2 μL of swab samples. The accuracy of our assay was evaluated with 2127 clinical swab samples of infection with these three viruses and healthy controls, and it possessed a consistency rate of 100, 99.54 and 99.25% in SARS-CoV-2, influenza A and B detection in comparison to standard RT-qPCR. The reported scheme of our assay is capable of screening other viral infections for up to 16 targets simultaneously. The whole diagnosis could be completed in 1.5 hours after simple sample loading by a non-technical expert. This constitutes an enabling strategy for large-scale point-of-care screening of multiple viral infections, which ultimately lead to a pathway for resolving the critical issue of early diagnosis for the prevention and control of viral outbreaks.
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Affiliation(s)
- Minghui Ji
- School of Nursing, Nanjing Medical University Nanjing 211166 P. R. China
| | - Yun Xia
- Shenzhen International Travel Health Care Center, Shenzhen Academy of Inspection and Quarantine Shenzhen Customs District Shenzhen 518033 P. R. China
| | - Jacky Fong-Chuen Loo
- Department of Biomedical Engineering, The Chinese University of Hong Kong Hong Kong SAR P. R. China
| | - Lang Li
- Shenzhen Bao'an Traditional Chinese Medicine Hospital (Group), Guangzhou University of Chinese Medicine Shenzhen 518133 P. R. China
| | - Ho-Pui Ho
- Department of Biomedical Engineering, The Chinese University of Hong Kong Hong Kong SAR P. R. China
| | - Jianan He
- Shenzhen International Travel Health Care Center, Shenzhen Academy of Inspection and Quarantine Shenzhen Customs District Shenzhen 518033 P. R. China
| | - Dayong Gu
- Department of Laboratory Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Health Science Center Shenzhen 518035 P. R. China
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14
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Berry L, Lansbury L, Gale L, Carroll AM, Lim WS. Point of care testing of Influenza A/B and RSV in an adult respiratory assessment unit is associated with improvement in isolation practices and reduction in hospital length of stay. J Med Microbiol 2020; 69:697-704. [PMID: 32250239 PMCID: PMC7451037 DOI: 10.1099/jmm.0.001187] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 03/14/2020] [Indexed: 12/31/2022] Open
Abstract
Introduction. Every winter seasonal influenza and other viral respiratory infections increase pressure on the health services and are associated with nosocomial infection and morbidity.Aim. To compare provision of point-of-care (POC) testing with laboratory-based testing for influenza and RSV detection on an adult respiratory assessment unit to assess the impact on isolation practices and length of stay (LOS).Methodology. Prospective interrupted 'on-off' study in adults admitted to the respiratory unit between December 2018 and April 2019 with a suspected respiratory tract infection. Nasopharyngeal samples were tested using either the GeneXpert rapid POC test for influenza and RSV (on-period), or were sent to the laboratory for multiplex PCR testing against a panel of 12 respiratory viruses (off-period). Outcome measures were time to patient isolation for infection control, LOS and turnaround time from admission to test results.Results. Of 1145 patients evaluated, 755 were tested with POC and 390 with laboratory multiplex; a respiratory virus was identified in 164 (21.7 %) and 138 (35.4 %) patients respectively. A positive POC test was associated with a shorter time to isolation (mean difference 16.9 h, P<0.001), shorter LOS (mean difference 15.5 h, P=0.05,) and shorter turnaround time (mean difference 28.3 h, P<0.001), compared to laboratory testing.Conclusion. Use of GeneXpert POC testing for Flu/RSV is associated with rapid reporting of results with significant improvements in isolation practices and reductions in LOS.
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Affiliation(s)
- Louise Berry
- Department of Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Louise Lansbury
- Division of Epidemiology and Public Health, University of Nottingham, Nottingham, UK
| | - Lydia Gale
- Department of Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Ann Marie Carroll
- Department of Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Wei Shen Lim
- Department of Respiratory Medicine, Nottingham University Hospitals Trust, Nottingham, UK
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15
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Ku J, Kim S, Park J, Kim TS, Kharbash R, Shin EC, Char K, Kim Y, Li S. Reactive Polymer Targeting dsRNA as Universal Virus Detection Platform with Enhanced Sensitivity. Biomacromolecules 2020; 21:2440-2454. [PMID: 32233463 DOI: 10.1021/acs.biomac.0c00379] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Reactive poly(pentafluorophenyl acrylate) (PPFPA)-grafted surfaces offer a versatile platform to immobilize biomolecules. Here, we utilize PPFPA-grafted surface and double-stranded RNA (dsRNA) recognizing J2 antibody to construct a universal virus detection platform with enhanced sensitivity. PPFPA on silicon substrates is prepared, and surface hydrophilicity is modulated by partial substitution of the pentafluorophenyl units with poly(ethylene glycol). Following dsRNA antibody immobilization, the prepared surfaces can distinguish long dsRNAs from single-stranded RNAs of the same length and short dsRNAs. As long dsRNAs are common byproducts of viral transcription/replication, these surfaces can detect the presence of different kinds of viruses without prior knowledge of their genomic sequences. To increase dsRNA detection sensitivity, a two-step method is devised where the captured dsRNAs are visualized with multiple fluorophore-tagged J2 antibodies. We show that the developed platform can differentiate foreign long dsRNAs from cellular dsRNAs and other biomolecules present in the cell lysate. Moreover, when tested against cells infected with hepatitis A or C viruses, both viruses are successfully detected using a single platform. Our study shows that the developed PPFPA platform immobilized with J2 antibody can serve as a primary diagnostic tool to determine the infection status for a wide range of viruses.
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Affiliation(s)
- Jayoung Ku
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141 South Korea.,KI for Health Science and Technology (KIHST), KAIST, Daejeon 34141 South Korea
| | - Sura Kim
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141 South Korea
| | - Jaemin Park
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141 South Korea
| | - Tae-Shin Kim
- Graduate School of Medical Science and Engineering, KAIST, Daejeon 34141 South Korea
| | - Raisa Kharbash
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141 South Korea.,KI for Health Science and Technology (KIHST), KAIST, Daejeon 34141 South Korea
| | - Eui-Cheol Shin
- Graduate School of Medical Science and Engineering, KAIST, Daejeon 34141 South Korea
| | - Kookheon Char
- School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, South Korea
| | - Yoosik Kim
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141 South Korea.,KI for Health Science and Technology (KIHST), KAIST, Daejeon 34141 South Korea
| | - Sheng Li
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141 South Korea
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16
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Chávez Ramos K, Nishiyama K, Maeki M, Ishida A, Tani H, Kasama T, Baba Y, Tokeshi M. Rapid, Sensitive, and Selective Detection of H5 Hemagglutinin from Avian Influenza Virus Using an Immunowall Device. ACS OMEGA 2019; 4:16683-16688. [PMID: 31616851 PMCID: PMC6788042 DOI: 10.1021/acsomega.9b02788] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 09/18/2019] [Indexed: 05/22/2023]
Abstract
Avian influenza virus (AIV) infection, caused by influenza virus type A, is an infectious, acute respiratory disease of birds related to influenza outbreaks worldwide. The highly pathogenic AIV subtype H5N1 has crossed species barriers to infect mammals, including humans, with fatal outcomes and has received attention as a potential pandemic threat. A rapid and timely detection in poultry is vitally important to prevent the virus spread. Despite their great sensitivity, conventional detection methods such as real-time reverse transcription-polymerase chain reaction and the agar gel precipitation test are time-consuming and labor-intensive and require special training. In this work, an immunowall device was evaluated as an easier and faster way for detecting AIV H5-hemagglutinin (AIV H5-HA). For detection, fluorescence-labeled or enzyme-labeled antibody was employed as a labeling antibody in a sandwich immunoassay. Both were shown in this paper to be easier and faster assays for detection compared with the conventional enzyme-linked immunosorbent assay (ELISA) kit. In addition, high selectivity was achieved for AIV H5-HA detection after the evaluation of other different HA virus subtypes. The limit of detection was 0.23 ng/mL for the enzyme-labeled antibody. This value was equivalent to that of the conventional ELISA kit but 8 times faster (31 min compared to 260 min). The detection range was 0.23-100 ng/mL. The immunowall device with the enzyme-labeled antibody offers a rapid, sensitive, selective, and simple immunoassay system for future H5 AIV real sample detection.
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Affiliation(s)
- Kenia Chávez Ramos
- Department
of Analytical Chemistry, School of Chemistry, National Autonomous University of Mexico, Av. Universidad 3000, Mexico
City 04510, Mexico
| | - Keine Nishiyama
- Graduate School of Chemical Sciences and Engineering, and Division of Applied
Chemistry, Faculty of Engineering, Hokkaido
University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
| | - Masatoshi Maeki
- Graduate School of Chemical Sciences and Engineering, and Division of Applied
Chemistry, Faculty of Engineering, Hokkaido
University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
| | - Akihiko Ishida
- Graduate School of Chemical Sciences and Engineering, and Division of Applied
Chemistry, Faculty of Engineering, Hokkaido
University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
| | - Hirofumi Tani
- Graduate School of Chemical Sciences and Engineering, and Division of Applied
Chemistry, Faculty of Engineering, Hokkaido
University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
| | - Toshihiro Kasama
- Department
of Bioengineering, School of Engineering, The University of Tokyo, Shinkawasaki, Saiwai-ku, Kanagawa 212-0032, Japan
- Institute
of Nano-Life Systems, Institutes of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
| | - Yoshinobu Baba
- Institute
of Nano-Life Systems, Institutes of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
- Department
of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan
| | - Manabu Tokeshi
- Graduate School of Chemical Sciences and Engineering, and Division of Applied
Chemistry, Faculty of Engineering, Hokkaido
University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
- Institute
of Nano-Life Systems, Institutes of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
- E-mail: . Phone: +81-11-706-6744. Fax: +81-11-706-6745
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17
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Su D, Wu K, Krishna VD, Klein T, Liu J, Feng Y, Perez AM, Cheeran MCJ, Wang JP. Detection of Influenza a Virus in Swine Nasal Swab Samples With a Wash-Free Magnetic Bioassay and a Handheld Giant Magnetoresistance Sensing System. Front Microbiol 2019; 10:1077. [PMID: 31164877 PMCID: PMC6536586 DOI: 10.3389/fmicb.2019.01077] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 04/29/2019] [Indexed: 12/20/2022] Open
Abstract
The dissemination of Influenza A virus (IAV) throughout the world has become one of the main concerns for the health of both animals and human beings. An efficient and sensitive diagnostic tool is thus needed for the early detection of IAV. Here, we developed a wash-free magnetic bioassay and further integrated it with a handheld platform based on giant-magnetoresistance (GMR) sensors. The wash-free magnetic bioassay significantly accelerates and simplifies the detection process. This brand-new system was successful in detecting both IAV nucleoprotein and IAV-contained nasal swab samples from pigs on the farm. The limit of detection (LOD) is 0.3 nM for IAV nucleoprotein and 250 TCID50/mL for IAV-spiked nasal swab samples. The detection of nasal swab samples containing unpurified IAV was also performed, demonstrating the capability of the magnetic wash-free assay in the detection of biomarkers in complex sample matrix.
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Affiliation(s)
- Diqing Su
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN, United States
| | - Kai Wu
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Venkatramana D Krishna
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, United States
| | - Todd Klein
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Jinming Liu
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Yinglong Feng
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Andres M Perez
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, United States
| | - Maxim C-J Cheeran
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, United States
| | - Jian-Ping Wang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN, United States.,Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States
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18
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Park CR, Rhee WJ, Kim KW, Hwang BH. Colorimetric biosensor using dual‐amplification of enzyme‐free reaction through universal hybridization chain reaction system. Biotechnol Bioeng 2019; 116:1567-1574. [DOI: 10.1002/bit.26978] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 03/12/2019] [Accepted: 03/28/2019] [Indexed: 11/11/2022]
Affiliation(s)
- Chae Rin Park
- Department of Bioengineering and Nano‐bioengineeringIncheon National UniversityIncheon Korea
| | - Won Jong Rhee
- Department of Bioengineering and Nano‐bioengineeringIncheon National UniversityIncheon Korea
- Division of BioengineeringIncheon National UniversityIncheon Korea
| | - Kyu Won Kim
- Department of ChemistryIncheon National UniversityIncheon Korea
| | - Byeong Hee Hwang
- Department of Bioengineering and Nano‐bioengineeringIncheon National UniversityIncheon Korea
- Division of BioengineeringIncheon National UniversityIncheon Korea
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19
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Ultrasensitive detection of avian influenza A (H7N9) virus using surface-enhanced Raman scattering-based lateral flow immunoassay strips. Anal Chim Acta 2019; 1053:139-147. [DOI: 10.1016/j.aca.2018.11.056] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 11/01/2018] [Accepted: 11/28/2018] [Indexed: 12/17/2022]
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20
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Short KR, Kedzierska K, van de Sandt CE. Back to the Future: Lessons Learned From the 1918 Influenza Pandemic. Front Cell Infect Microbiol 2018; 8:343. [PMID: 30349811 PMCID: PMC6187080 DOI: 10.3389/fcimb.2018.00343] [Citation(s) in RCA: 145] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 09/10/2018] [Indexed: 01/02/2023] Open
Abstract
2018 marks the 100-year anniversary of the 1918 influenza pandemic, which killed ~50 million people worldwide. The severity of this pandemic resulted from a complex interplay between viral, host, and societal factors. Here, we review the viral, genetic and immune factors that contributed to the severity of the 1918 pandemic and discuss the implications for modern pandemic preparedness. We address unresolved questions of why the 1918 influenza H1N1 virus was more virulent than other influenza pandemics and why some people survived the 1918 pandemic and others succumbed to the infection. While current studies suggest that viral factors such as haemagglutinin and polymerase gene segments most likely contributed to a potent, dysregulated pro-inflammatory cytokine storm in victims of the pandemic, a shift in case-fatality for the 1918 pandemic toward young adults was most likely associated with the host's immune status. Lack of pre-existing virus-specific and/or cross-reactive antibodies and cellular immunity in children and young adults likely contributed to the high attack rate and rapid spread of the 1918 H1N1 virus. In contrast, lower mortality rate in in the older (>30 years) adult population points toward the beneficial effects of pre-existing cross-reactive immunity. In addition to the role of humoral and cellular immunity, there is a growing body of evidence to suggest that individual genetic differences, especially involving single-nucleotide polymorphisms (SNPs), contribute to differences in the severity of influenza virus infections. Co-infections with bacterial pathogens, and possibly measles and malaria, co-morbidities, malnutrition or obesity are also known to affect the severity of influenza disease, and likely influenced 1918 H1N1 disease severity and outcomes. Additionally, we also discuss the new challenges, such as changing population demographics, antibiotic resistance and climate change, which we will face in the context of any future influenza virus pandemic. In the last decade there has been a dramatic increase in the number of severe influenza virus strains entering the human population from animal reservoirs (including highly pathogenic H7N9 and H5N1 viruses). An understanding of past influenza virus pandemics and the lessons that we have learnt from them has therefore never been more pertinent.
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Affiliation(s)
- Kirsty R. Short
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia
- Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC, Australia
| | - Carolien E. van de Sandt
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC, Australia
- Department of Hematopoiesis, Sanquin Research and Landsteiner Laboratory, Amsterdam, Netherlands
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21
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22
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Dayakar S, Pillai HR, Thulasi VP, Jayalekshmi D, Nair RR. Comparative Study of Molecular Approaches for the Detection of Influenza Virus from Patient Samples Using Real-time PCR: Prospective Disease Burden Study in Kerala (India) from 2010 to 2016. Curr Infect Dis Rep 2018; 20:24. [DOI: 10.1007/s11908-018-0632-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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23
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Sharma V, Chaudhry D, Kaushik S. Evaluation of clinical applicability of reverse transcription-loop-mediated isothermal amplification assay for detection and subtyping of Influenza A viruses. J Virol Methods 2018; 253:18-25. [PMID: 29253497 PMCID: PMC7113880 DOI: 10.1016/j.jviromet.2017.12.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 11/03/2017] [Accepted: 12/15/2017] [Indexed: 12/20/2022]
Abstract
BACKGROUND Influenza A viruses (IAVs) have always remain a serious concern for the global economy and public health. A rapid, specific and sensitive detection method is always needed to control the influenza in its early stages by timely intervention of therapy and early clinical management. OBJECTIVES To develop RT-LAMP assays for detection of influenza A viruses, their further subtyping into seasonal (H1N1, H3N2) and novel pandemic H1N1 viruses and to evaluate clinical applicability of optimized RT-LAMP assays on patients' samples. STUDY DESIGN In this study, we optimized RT-LAMP assay to detect IAVs by using primers against matrix gene and subtyping of IAVs was done by using primers against hemagglutinin gene. Optimized RT-LAMP assays were applied on clinical samples from patients having influenza like illness and results were compared with conventional one-step RT-PCR and real-time RT-PCR. RESULTS RT-LAMP assays successfully detected and differentiated IAVs into H1N1, H3N2 and pdm09/H1N1 subtypes. One hundred and sixty seven clinical swab samples from influenza suspected patients were taken and tested with RT-LAMP assay, detecting 30 (17.9%) samples positive for Influenza A virus. Out of 30 samples, 21, 7 and 2 were found positive for pdm09/H1N1, H3N2 and seasonal H1 respectively. Conventional one-step RT-PCR detected a total of 27 (16.2%) samples for influenza A and further subtyping showed 20 and 7 samples positive for pdm09/H1N1 and H3N2 virus respectively whereas none was found positive for seasonal H1N1. RT-LAMP assay demonstrated higher sensitivity (93.8%) than conventional RT-PCR (84.4%) for influenza A viruses detection in clinical samples. CONCLUSIONS RT-LAMP assay is rapid, sensitive, specific and cost effective method for detection of influenza A viruses than conventional one-step RT-PCR and it can serve as a good alternate for diagnosis and surveillance studies during influenza outbreaks in resource-limited setups of developing countries.
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Affiliation(s)
- Vikrant Sharma
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak, Haryana, India.
| | - Dhruva Chaudhry
- Pulmonary and Critical Care Medicine, Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
| | - Samander Kaushik
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak, Haryana, India.
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24
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Draz MS, Shafiee H. Applications of gold nanoparticles in virus detection. Theranostics 2018; 8:1985-2017. [PMID: 29556369 PMCID: PMC5858513 DOI: 10.7150/thno.23856] [Citation(s) in RCA: 160] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 01/09/2018] [Indexed: 12/12/2022] Open
Abstract
Viruses are the smallest known microbes, yet they cause the most significant losses in human health. Most of the time, the best-known cure for viruses is the innate immunological defense system of the host; otherwise, the initial prevention of viral infection is the only alternative. Therefore, diagnosis is the primary strategy toward the overarching goal of virus control and elimination. The introduction of a new class of nanoscale materials with multiple unique properties and functions has sparked a series of breakthrough applications. Gold nanoparticles (AuNPs) are widely reported to guide an impressive resurgence in biomedical and diagnostic applications. Here, we review the applications of AuNPs in virus testing and detection. The developed AuNP-based detection techniques are reported for various groups of clinically relevant viruses with a special focus on the applied types of bio-AuNP hybrid structures, virus detection targets, and assay modalities and formats. We pay particular attention to highlighting the functional role and activity of each core Au nanostructure and the resultant detection improvements in terms of sensitivity, detection range, and time. In addition, we provide a general summary of the contributions of AuNPs to the mainstream methods of virus detection, technical measures, and recommendations required in guidance toward commercial in-field applications.
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Affiliation(s)
- Mohamed Shehata Draz
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Faculty of Science, Tanta University, Tanta 31527, Egypt
| | - Hadi Shafiee
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
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25
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Wu K, Klein T, Krishna VD, Su D, Perez AM, Wang JP. Portable GMR Handheld Platform for the Detection of Influenza A Virus. ACS Sens 2017; 2:1594-1601. [PMID: 29068663 DOI: 10.1021/acssensors.7b00432] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Influenza A virus (IAV) is a common respiratory pathogen infecting many hosts including humans, pigs (swine influenza virus or SIV), and birds (avian influenza virus or AIV). Monitoring swine and avian influenza viruses in the wild, farms, and live poultry markets is of great significance for human and veterinary public health. A portable, sensitive, and quantitative immunoassay device will be of high demand especially in the rural and resource-limited areas. We report herein our Z-Lab point-of-care (POC) device for sensitive and specific detection of swine influenza viruses with minimum sample handling and laboratory skill requirements. In the present study, a portable and quantitative immunoassay platform based on giant magnetoresistive (GMR) technology is used for the detection of IAV nucleoprotein (NP) and purified H3N2v. Z-Lab displays quantitative results in less than 10 min with sensitivities down to 15 ng/mL and 125 TCID50/mL for IAV nucleoprotein and purified H3N2v, respectively. This platform allows lab-testing to be performed outdoors and opens up the applications of immunoassays in nonclinical settings.
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Affiliation(s)
- Kai Wu
- Department
of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Todd Klein
- Department
of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Venkatramana D. Krishna
- Department
of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Diqing Su
- Department
of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Department
of Chemical Engineering and Material Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Andres M. Perez
- Department
of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Jian-Ping Wang
- Department
of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
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26
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Yeh YT, Tang Y, Sebastian A, Dasgupta A, Perea-Lopez N, Albert I, Lu H, Terrones M, Zheng SY. Tunable and label-free virus enrichment for ultrasensitive virus detection using carbon nanotube arrays. SCIENCE ADVANCES 2016; 2:e1601026. [PMID: 27730213 PMCID: PMC5055386 DOI: 10.1126/sciadv.1601026] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 08/31/2016] [Indexed: 05/13/2023]
Abstract
Viral infectious diseases can erupt unpredictably, spread rapidly, and ravage mass populations. Although established methods, such as polymerase chain reaction, virus isolation, and next-generation sequencing have been used to detect viruses, field samples with low virus count pose major challenges in virus surveillance and discovery. We report a unique carbon nanotube size-tunable enrichment microdevice (CNT-STEM) that efficiently enriches and concentrates viruses collected from field samples. The channel sidewall in the microdevice was made by growing arrays of vertically aligned nitrogen-doped multiwalled CNTs, where the intertubular distance between CNTs could be engineered in the range of 17 to 325 nm to accurately match the size of different viruses. The CNT-STEM significantly improves detection limits and virus isolation rates by at least 100 times. Using this device, we successfully identified an emerging avian influenza virus strain [A/duck/PA/02099/2012(H11N9)] and a novel virus strain (IBDV/turkey/PA/00924/14). Our unique method demonstrates the early detection of emerging viruses and the discovery of new viruses directly from field samples, thus creating a universal platform for effectively remediating viral infectious diseases.
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Affiliation(s)
- Yin-Ting Yeh
- Micro and Nano Integrated Biosystem Laboratory, Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA
- Penn State Material Research Institute, Pennsylvania State University, University Park, PA 16802, USA
| | - Yi Tang
- Department of Veterinary and Biomedical Science, Pennsylvania State University, University Park, PA 16802, USA
| | - Aswathy Sebastian
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Archi Dasgupta
- Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA
| | - Nestor Perea-Lopez
- Department of Physics and Center for 2-Dimensional and Layered Materials, Pennsylvania State University, University Park, PA 16802, USA
| | - Istvan Albert
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Huaguang Lu
- Department of Veterinary and Biomedical Science, Pennsylvania State University, University Park, PA 16802, USA
| | - Mauricio Terrones
- Penn State Material Research Institute, Pennsylvania State University, University Park, PA 16802, USA
- Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA
- Department of Physics and Center for 2-Dimensional and Layered Materials, Pennsylvania State University, University Park, PA 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
- Department of Materials Science and Engineering, Pennsylvania State University, University Park, PA 16802, USA
- Corresponding author. (M.T.); (S.-Y.Z.)
| | - Si-Yang Zheng
- Micro and Nano Integrated Biosystem Laboratory, Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA
- Penn State Material Research Institute, Pennsylvania State University, University Park, PA 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
- Department of Electrical Engineering, Pennsylvania State University, University Park, PA 16802, USA
- Corresponding author. (M.T.); (S.-Y.Z.)
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27
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Wang Y, Qu J, Ba Q, Dong J, Zhang L, Zhang H, Wu A, Wang D, Xia Z, Peng D, Shu Y, Cao B, Jiang T. Detection and typing of human-infecting influenza viruses in China by using a multiplex DNA biochip assay. J Virol Methods 2016; 234:178-85. [PMID: 27150046 DOI: 10.1016/j.jviromet.2016.04.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2016] [Revised: 04/29/2016] [Accepted: 04/30/2016] [Indexed: 01/27/2023]
Abstract
Rapid identification of the infections of specific subtypes of influenza viruses is critical for patient treatment and pandemic control. Here we report the application of multiplex reverse transcription polymerase chain reaction (RT-PCR) coupled with membrane-based DNA biochip to the detection and discrimination of the type (A and B) and subtype (human H1N1, human H3N2, avian H5N1 and avian H7N9) of influenza viruses in circulation in China. A multiplex one-step RT-PCR assay was designed to simultaneously amplify the HA and NA genes of the four subtypes of influenza A viruses and NS genes to discriminate type A and B viruses. PCR products were analyzed by a membrane-based biochip. The analytical sensitivity of the assay was determined at a range of 2-100 copies/reactions for each of the gene transcripts. Eighty one clinical samples, containing 66 positive samples with evident seasonal influenza virus infections, were tested, which gives the clinical sensitivity and specificity of 95.5% and 100% respectively. For the avian influenza samples, 3 out of 4 H5N1 samples and 2 out of 2 H7N9 avian samples were correctly identified. We argue this method could allow a rapid, reliable and inexpensive detection and differentiation of human-infecting influenza viruses.
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Affiliation(s)
- Yongqiang Wang
- Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiuxin Qu
- Department of Infectious Diseases and Clinical Microbiology, Beijing Chao Yang Hospital, Capital Medical University, Beijing Institute of Respiratory Medicine, Beijing 100020, China
| | - Qi Ba
- Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Jiuhong Dong
- Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Liang Zhang
- Translational Medicine Center, Guangdong Women and Children's Hospital, Guangzhou 511400, China
| | - Hong Zhang
- Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Aiping Wu
- Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China; Suzhou Institute of Systems Medicine, Suzhou, Jiangsu 215123, China
| | - Dayan Wang
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Infectious Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Zanxian Xia
- State Key Laboratory of Medical Genetics & School of Life Sciences, Central South University, Changsha, Hunan 410078, China
| | - Daxin Peng
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Yuelong Shu
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Infectious Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Bin Cao
- Department of Infectious Diseases and Clinical Microbiology, Beijing Chao Yang Hospital, Capital Medical University, Beijing Institute of Respiratory Medicine, Beijing 100020, China; Lab of Clinical Microbiology and Infectious diseases, Centre of Respiratory and Critical Care Medicine, China Japan Friendship Hospital, Beijing 100029, China.
| | - Taijiao Jiang
- Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China; Suzhou Institute of Systems Medicine, Suzhou, Jiangsu 215123, China.
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Abstract
OBJECTIVES To describe the strengths and limitations of the available influenza diagnostics, with a focus on rapid antigen detection assays and nucleic acid detection assays. METHODS A case-based presentation is used to illustrate the potential limitations of rapid antigen detection assays for influenza. RESULTS Influenza is a seasonal illness; estimates attribute influenza to approximately 200,000 hospitalizations and 41,000 deaths in the United States annually. Antigen detection assays for influenza are rapid and convenient, and thus are widely used in a variety of health care settings, even though the sensitivity of these assays may be suboptimal. The United States Food and Drug Administration has recently created new guidelines intended to improve the oversight and performance characteristics of influenza antigen detection assays. Molecular assays, although more costly and complex, are more sensitive and may be designed to simultaneously detect multiple respiratory pathogens within a single assay. CONCLUSIONS Diagnostic assays for influenza can vary greatly with regards to analytical performance characteristics, complexity, turnaround time and cost. This can have important patient care and infection prevention implications.
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Affiliation(s)
- Allison R McMullen
- From the Department of Pathology and Immunology, Washington University in St Louis School of Medicine, St Louis, MO
| | - Neil W Anderson
- From the Department of Pathology and Immunology, Washington University in St Louis School of Medicine, St Louis, MO
| | - Carey-Ann D Burnham
- From the Department of Pathology and Immunology, Washington University in St Louis School of Medicine, St Louis, MO.
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Krishna VD, Wu K, Perez AM, Wang JP. Giant Magnetoresistance-based Biosensor for Detection of Influenza A Virus. Front Microbiol 2016; 7:400. [PMID: 27065967 PMCID: PMC4809872 DOI: 10.3389/fmicb.2016.00400] [Citation(s) in RCA: 100] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 03/14/2016] [Indexed: 11/29/2022] Open
Abstract
We have developed a simple and sensitive method for the detection of influenza A virus based on giant magnetoresistance (GMR) biosensor. This assay employs monoclonal antibodies to viral nucleoprotein (NP) in combination with magnetic nanoparticles (MNPs). Presence of influenza virus allows the binding of MNPs to the GMR sensor and the binding is proportional to the concentration of virus. Binding of MNPs onto the GMR sensor causes change in the resistance of sensor, which is measured in a real time electrical readout. GMR biosensor detected as low as 1.5 × 10(2) TCID50/mL virus and the signal intensity increased with increasing concentration of virus up to 1.0 × 10(5) TCID50/mL. This study showed that the GMR biosensor assay is relevant for diagnostic application since the virus concentration in nasal samples of influenza virus infected swine was reported to be in the range of 10(3) to 10(5) TCID50/mL.
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Affiliation(s)
- Venkatramana D. Krishna
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. PaulMN, USA
| | - Kai Wu
- Department of Electrical and Computer Engineering, University of Minnesota, MinneapolisMN, USA
| | - Andres M. Perez
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. PaulMN, USA
| | - Jian-Ping Wang
- Department of Electrical and Computer Engineering, University of Minnesota, MinneapolisMN, USA
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Iravathy Goud K, Matam K, Madasu AML, Vempati R, Daripalli S, Pullamula M, Narreddy S, Nutankalva L. Molecular diagnosis of H1N1 virus. APOLLO MEDICINE 2015. [DOI: 10.1016/j.apme.2015.07.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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31
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Yang J, Xiang Y, Song C, Liu L, Jing X, Xie G, Xiang H. Quadruple signal amplification strategy based on hybridization chain reaction and an immunoelectrode modified with graphene sheets, a hemin/G-quadruplex DNAzyme concatamer, and alcohol dehydrogenase: ultrasensitive determination of influenza virus subtype H7N9. Mikrochim Acta 2015. [DOI: 10.1007/s00604-015-1583-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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32
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Lee CC, Liao YC, Lai YH, Lee CCD, Chuang MC. Recognition of dual targets by a molecular beacon-based sensor: subtyping of influenza A virus. Anal Chem 2015; 87:5410-6. [PMID: 25879394 DOI: 10.1021/acs.analchem.5b00810] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A molecular beacon (MB)-based sensor to offer a decisive answer in combination with information originated from dual-target inputs is designed. The system harnesses an assistant strand and thermodynamically favored designation of unpaired nucleotides (UNs) to process the binary targets in "AND-gate" format and report fluorescence in "off-on" mechanism via a formation of a DNA four-way junction (4WJ). By manipulating composition of the UNs, the dynamic fluorescence difference between the binary targets-coexisting circumstance and any other scenario was maximized. Characteristic equilibrium constant (K), change of entropy (ΔS), and association rate constant (k) between the association ("on") and dissociation ("off") states of the 4WJ were evaluated to understand unfolding behavior of MB in connection to its sensing capability. Favorable MB and UNs were furthermore designed toward analysis of genuine genetic sequences of hemagglutinin (HA) and neuraminidase (NA) in an influenza A H5N2 isolate. The MB-based sensor was demonstrated to yield a linear calibration range from 1.2 to 240 nM and detection limit of 120 pM. Furthermore, high-fidelity subtyping of influenza virus was implemented in a sample of unpurified amplicons. The strategy opens an alternative avenue of MB-based sensors for dual targets toward applications in clinical diagnosis.
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Affiliation(s)
- Chun-Ching Lee
- †Department of Chemistry, Tunghai University, Taichung 40704, Taiwan
| | - Yu-Chieh Liao
- ‡Institute of Population Health Science, National Health Research Institutes, Zhunan, Miaoli County 35053, Taiwan
| | - Yu-Hsuan Lai
- †Department of Chemistry, Tunghai University, Taichung 40704, Taiwan
| | | | - Min-Chieh Chuang
- †Department of Chemistry, Tunghai University, Taichung 40704, Taiwan
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33
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Chen L, Neethirajan S. A homogenous fluorescence quenching based assay for specific and sensitive detection of influenza virus A hemagglutinin antigen. SENSORS 2015; 15:8852-65. [PMID: 25884789 PMCID: PMC4431298 DOI: 10.3390/s150408852] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Revised: 04/02/2015] [Accepted: 04/09/2015] [Indexed: 11/16/2022]
Abstract
Influenza pandemics cause millions of deaths worldwide. Effective surveillance is required to prevent their spread and facilitate the development of appropriate vaccines. In this study, we report the fabrication of a homogenous fluorescence-quenching-based assay for specific and sensitive detection of influenza virus surface antigen hemagglutinins (HAs). The core of the assay is composed of two nanoprobes namely the glycan-conjugated highly luminescent quantum dots (Gly-QDs), and the HA-specific antibody-modified gold nanoparticle (Ab-Au NPs). When exposed to strain-specific HA, a binding event between the HA and the two nanoprobes takes place, resulting in the formation of a sandwich complex which subsequently brings the two nanoprobes closer together. This causes a decrease in QDs fluorescence intensity due to a non-radiative energy transfer from QDs to Au NPs. A resulting correlation between the targets HA concentrations and fluorescence changes can be observed. Furthermore, by utilizing the specific interaction between HA and glycan with sialic acid residues, the assay is able to distinguish HAs originated from viral subtypes H1 (human) and H5 (avian). The detection limits in solution are found to be low nanomolar and picomolar level for sensing H1-HA and H5-HA, respectively. Slight increase in assay sensitivity was found in terms of detection limit while exposing the assay in the HA spiked in human sera solution. We believe that the developed assay could serve as a feasible and sensitive diagnostic tool for influenza virus detection and discrimination, with further improvement on the architectures.
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Affiliation(s)
- Longyan Chen
- BioNano Laboratory, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.
| | - Suresh Neethirajan
- BioNano Laboratory, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.
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Kissová R, Svitok M, Klement C, Mad'arová L. Factors affecting the success of influenza laboratory diagnosis. Cent Eur J Public Health 2015; 22:164-9. [PMID: 25438393 DOI: 10.21101/cejph.a3906] [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: 11/15/2022]
Abstract
Influenza is one of the most common human infectious diseases, and has profound health and economic consequences. The laboratory diag- nosis of influenza virus infections plays an important role in the global surveillance of influenza. Therefore, there is a growing demand for highly sensitive and rapid methods for detecting influenza. The performance of particular diagnostic methods is affected by various factors. In this study, we assess the effects of patients' age and time to diagnosis on the probability of detecting influenza using four diagnostic methods (virus isolation, rapid test, RT-PCR and real-time RT-PCR). We examined 3,546 samples from central and eastern Slovakia during the influenza seasons from 2005-2006 to 2010-2011. In general, the probability of influenza detection significantly decreased with the time from onset of illness to sample collection (T1) as well as with patients' age (AGE). On the contrary, time from sample collection to delivery (T2) did not play a role in the prob- ability of influenza detection. As judged by odds ratios, the virus isolation method was most sensitive to T1, followed by the rapid test and RT-PCR methods. For the effect of AGE, the rapid test and virus isolation methods were more sensitive than PCR-based methods. The effects of T1 and AGE were independent of each other. Laboratories which participate in inifluenza surveillance should use several methods to enable rapid and accurate influenza A and B virus detection.
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35
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Lai YH, Lee CC, King CC, Chuang MC, Ho JAA. Exploitation of stem-loop DNA as a dual-input gene sensing platform: extension to subtyping of influenza A viruses. Chem Sci 2014. [DOI: 10.1039/c4sc01289e] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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36
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Abstract
Influenza viruses cause recurring epidemic outbreaks every year associated with high morbidity and mortality. Despite extensive research and surveillance efforts to control influenza outbreaks, the primary mitigation treatment for influenza is the development of yearly vaccine mixes targeted for the most prevalent virus strains. Consequently, the focus of many detection technologies has evolved toward accurate identification of subtype and understanding the evolution and molecular determinants of novel and pathogenic forms of influenza. The recent availability of potential antiviral treatments are only effective if rapid and accurate diagnostic tests for influenza epidemic management are available; thus, early detection of influenza infection is still important for prevention, containment, patient management, and infection control. This review discusses the current and emerging technologies for detection and strain identification of influenza virus and their specific gene targets, as well as their implications in patient management.
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Affiliation(s)
- Anthony P Malanoski
- Center for Bio/Molecular Science and Engineering, U. S. Naval Research Laboratory, 4555 Overlook Avenue, S. W., Code 6900, Washington, DC, 20375, USA
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37
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Özdemir M, Yavru S, Baysal B. Comparison of the detection of influenza A and B viruses by different methods. J Int Med Res 2013; 40:2401-8. [PMID: 23321198 DOI: 10.1177/030006051204000639] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE To investigate the detection of influenza viruses by three different methods. METHODS Nasopharyngeal swabs were collected from patients with influenza symptoms and examined for influenza A and B viruses using a rapid antigen test, a multiplex polymerase chain reaction (PCR) test and a shell vial cell culture test. RESULTS Using the shell vial cell culture test, the rapid antigen test and the multiplex PCR test in 130 patients, 31 (23.8%), 24 (18.5%) and 24 (18.5%) samples, respectively, were positive for influenza A and 10 (7.7%), nine (6.9%) and four (3.1%) samples, respectively, were positive for influenza B. Compared with the shell vial test, the sensitivity, specificity, and positive and negative predictive values of the rapid antigen test were 77.4%, 93.3%, 80.0% and 93.1%, respectively, for influenza A, and 90.0%, 95.8%, 64.2% and 99.1%, respectively, for influenza B. The corresponding values for the multiplex PCR test were 77.4%, 95.9%, 85.7% and 93.1%, respectively, for influenza A, and 40.0%, 97.5%, 57.1% and 95.1%, respectively, for influenza B. CONCLUSIONS The multiplex PCR test and the rapid antigen test are both effective in the detection of influenza A and B viruses.
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Affiliation(s)
- M Özdemir
- Department of Medical Microbiology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey.
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38
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Pierce LR, Willey JC, Palsule VV, Yeo J, Shepherd BS, Crawford EL, Stepien CA. Accurate detection and quantification of the fish viral hemorrhagic Septicemia virus (VHSv) with a two-color fluorometric real-time PCR assay. PLoS One 2013; 8:e71851. [PMID: 23977162 PMCID: PMC3748128 DOI: 10.1371/journal.pone.0071851] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2013] [Accepted: 07/03/2013] [Indexed: 01/08/2023] Open
Abstract
Viral Hemorrhagic Septicemia virus (VHSv) is one of the world's most serious fish pathogens, infecting >80 marine, freshwater, and estuarine fish species from Eurasia and North America. A novel and especially virulent strain - IVb - appeared in the Great Lakes in 2003, has killed many game fish species in a series of outbreaks in subsequent years, and shut down interstate transport of baitfish. Cell culture is the diagnostic method approved by the USDA-APHIS, which takes a month or longer, lacks sensitivity, and does not quantify the amount of virus. We thus present a novel, easy, rapid, and highly sensitive real-time quantitative reverse transcription PCR (qRT-PCR) assay that incorporates synthetic competitive template internal standards for quality control to circumvent false negative results. Results demonstrate high signal-to-analyte response (slope = 1.00±0.02) and a linear dynamic range that spans seven orders of magnitude (R(2) = 0.99), ranging from 6 to 6,000,000 molecules. Infected fishes are found to harbor levels of virus that range to 1,200,000 VHSv molecules/10(6) actb1 molecules with 1,000 being a rough cut-off for clinical signs of disease. This new assay is rapid, inexpensive, and has significantly greater accuracy than other published qRT-PCR tests and traditional cell culture diagnostics.
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Affiliation(s)
- Lindsey R. Pierce
- Great Lakes Genetics/Genomics Laboratory, Lake Erie Center and Department of Environmental Sciences, The University of Toledo, Toledo, Ohio, United States of America
| | - James C. Willey
- Department of Medicine, The University of Toledo, Toledo, Ohio, United States of America
| | - Vrushalee V. Palsule
- Great Lakes Genetics/Genomics Laboratory, Lake Erie Center and Department of Environmental Sciences, The University of Toledo, Toledo, Ohio, United States of America
| | - Jiyoun Yeo
- Department of Medicine, The University of Toledo, Toledo, Ohio, United States of America
| | - Brian S. Shepherd
- ARS/USDA/University of Wisconsin at Milwaukee/School of Freshwater Sciences, Milwaukee, Wisconsin, United States of America
| | - Erin L. Crawford
- Department of Medicine, The University of Toledo, Toledo, Ohio, United States of America
| | - Carol A. Stepien
- Great Lakes Genetics/Genomics Laboratory, Lake Erie Center and Department of Environmental Sciences, The University of Toledo, Toledo, Ohio, United States of America
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39
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Paiva TM, Benega MA, Silva DBB, Santos KCO, Cruz AS, Hortenci MF, Barbieri MT, Monteiro MM, Barbosa HA, Carvalhanas TRMP. Evolutionary pattern of reemerging influenza B/Victoria lineage viruses in São Paulo, Brazil, 1996-2012: Implications for vaccine composition strategy. J Med Virol 2013; 85:1983-9. [PMID: 23926069 DOI: 10.1002/jmv.23684] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2013] [Indexed: 11/07/2022]
Abstract
Since the 1980s, 2 antigenically distinct influenza B lineages have cocirculated in the world: B/Victoria/2/87 (first appeared in the 1980s) and B/Yamagata/16/88 (became predominant in the 1990s). B/Victoria/2/87 isolates were geographically restricted to eastern Asia during 1991-2000. During 2000-2001 and 2001-2002, B/Victoria/2/87 isolates reemerged in North America, Europe, and South America, and then spread globally. During influenza virus surveillance, season 2002, an outbreak of acute respiratory illness, which quickly spread among the population, has been notified by public health authorities living in Araraquara, São Paulo, Brazil. Instituto Adolfo Lutz and Secretariat of Health of São Paulo state teams initiate an investigation towards to describe the pattern of infection in this population temporally and by age and to characterize the strains by virus isolation and hemagglutination inhibition assay. The outbreak lasted approximately 10 weeks; many cases occurred between mid-August and mid-September. Children younger than 13 years were the most affected; the elderly were mostly immune to infection. Analysis of the clinical respiratory samples helped in identifying the B/Hong Kong/330/2001 and B/Brisbane/32/2002 subtypes-recent variants of B/Victoria/02/88, a lineage restricted to Southeast Asia until 2001. The Araraquara outbreak confirms the reemergence of the B/Victoria viruses in South America and highlights the importance of monitoring local circulating strains, especially in light of the absence of cross-protection between antigenically distinct influenza lineages. Based on influenza virus surveillance, public health authorities worldwide should decide whether trivalent vaccines or quadrivalent vaccines (containing both influenza virus B lineages) are to be used in each country.
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Affiliation(s)
- T M Paiva
- Center of Respiratory Diseases, Adolfo Lutz Institute, São Paulo, Brazil.
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40
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Comparison of a multiplex real-time PCR assay with a multiplex Luminex assay for influenza virus detection. J Clin Microbiol 2013; 51:1124-9. [PMID: 23345299 DOI: 10.1128/jcm.03113-12] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
We describe the development of a multiplex reverse transcription-PCR (RT-PCR) with Luminex microarray hybridization for detection of influenza virus subtypes (FLULUM). Performance of FLULUM was evaluated by comparing it to our real-time RT-PCR influenza virus assay on samples collected during two influenza seasons. Both assays targeted the matrix genes of influenza virus A (FluA M) and influenza virus B (FluB M) and the hemagglutinin genes of seasonal H3N2 (H3) and H1N1 (H1) and 2009 pandemic H1N1 (2009 H1). We evaluated FLULUM on both the Luminex LX200 and the Luminex MagPix instruments. Compared to real-time PCR, FLULUM tested on 259 specimens submitted in the 2010-2011 season showed sensitivities of 97.3% for FluA M, 90.5% for 2009 H1, 96.9% for H3, and 88.9% for FluB M. No specimens were positive for seasonal H1. FLULUM tested on 806 specimens submitted in the 2011-2012 season showed a sensitivity of 100% for FluA M, 89.9% for 2009 H1, 96.4% for H3, and 95.6% for FluB M. No cross-reactivity was observed for other respiratory viruses. Analytical sensitivity was assessed by testing dilutions of specimens with high viral loads. The limits of detection of FLULUM were comparable to those of the real-time PCR assay for FluA M, FluB M, and H3. The limits of detection for seasonal H1 and 2009 H1 were 10-fold higher for the FLULUM assay compared to real-time PCR. The FLULUM is an economic assay with high clinical sensitivity and specificity. It is particularly suited to high-volume detection of influenza viruses.
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Marzoratti L, Iannella HA, Gómez VF, Figueroa SB. Recent advances in the diagnosis and treatment of influenza pneumonia. Curr Infect Dis Rep 2012; 14:275-83. [PMID: 22477036 PMCID: PMC3342505 DOI: 10.1007/s11908-012-0257-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
A potentially fatal complication of influenza infection is the development of pneumonia, caused either directly by the influenza virus, or by secondary bacterial infection. Pneumonia related to the 2009 influenza A pandemic was found to be underestimated by commonly used pneumonia severity scores in many cases, and to be rapidly progressive, leading to respiratory failure. Confirmation of etiology by laboratory testing is warranted in such cases. Rapid antigen and immunofluorescence testing are useful screening tests, but have limited sensitivity. Confirmation of pandemic H1N1 influenza A infection can only be made by real-time reverse-transcriptase polymerase chain reaction (rRT-PCR) or viral culture. The most effective preventive measure is annual influenza vaccination in selected individuals. Decisions to administer antiviral medications for influenza treatment or chemoprophylaxis should be based upon clinical and epidemiological factors, and should not be delayed by confirmatory laboratory testing results. Neuraminidase inhibitors (NI) are the agents of choice.
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Affiliation(s)
- Lucia Marzoratti
- CEMIT (Centro Médico Investigadores Tucumán), San Miguel de Tucumán, Tucumán Argentina
| | - Hernán A. Iannella
- Pulmonary Medicine Division, Hospital de Clínicas, Universidad de Buenos Aires, Buenos Aires, Argentina
| | | | - Sandra B. Figueroa
- CEMIT (Centro Médico Investigadores Tucumán), San Miguel de Tucumán, Tucumán Argentina
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Lum J, Wang R, Lassiter K, Srinivasan B, Abi-Ghanem D, Berghman L, Hargis B, Tung S, Lu H, Li Y. Rapid detection of avian influenza H5N1 virus using impedance measurement of immuno-reaction coupled with RBC amplification. Biosens Bioelectron 2012; 38:67-73. [PMID: 22647532 DOI: 10.1016/j.bios.2012.04.047] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2012] [Accepted: 04/30/2012] [Indexed: 11/17/2022]
Abstract
Avian influenza virus (AIV) subtype H5N1 was first discovered in the 1990 s and since then its emergence has become a likely source of a global pandemic and economic loss. Currently accepted gold standard methods of influenza detection, viral culture and rRT-PCR, are time consuming, expensive and require special training and laboratory facilities. A rapid, sensitive, and specific screening method is needed for in-field or bedside testing of AI virus to effectively implement quarantines and medications. Therefore, the objective of this study was to improve the specificity and sensitivity of an impedance biosensor that has been developed for the screening of AIV H5. Three major components of the developed biosensor are immunomagnetic nanoparticles for the separation of AI virus, a microfluidic chip for sample control and an interdigitated microelectrode for impedance measurement. In this study polyclonal antibody against N1 subtype was immobilized on the surface of the microelectrode to specifically bind AIV H5N1 to generate more specific impedance signal and chicken red blood cells (RBC) were used as biolabels to attach to AIV H5N1 captured on the microelectrode to amplify impedance signal. RBC amplification was shown to increase the impedance signal change by more than 100% compared to the protocol without RBC biolabels, and was necessary for forming a linear calibration curve for the biosensor. The use of a second antibody against N1 offered much greater specificity and reliability than the previous biosensor protocol. The biosensor was able to detect AIV H5N1 at concentrations down to 10(3) EID(50)ml(-1) in less than 2h.
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Affiliation(s)
- Jacob Lum
- Cell and Molecular Biology Program, University of Arkansas, Fayetteville, AR 72701, USA
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43
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Klick B, Nishiura H, Cowling BJ. Optimal design of intervention studies to prevent influenza in healthy cohorts. PLoS One 2012; 7:e35166. [PMID: 22514718 PMCID: PMC3325991 DOI: 10.1371/journal.pone.0035166] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2012] [Accepted: 03/13/2012] [Indexed: 11/19/2022] Open
Abstract
Background Influenza cohort studies, in which participants are monitored for infection over an epidemic period, are invaluable in assessing the effectiveness of control measures such as vaccination, antiviral prophylaxis and non-pharmaceutical interventions (NPIs). Influenza infections and illnesses can be identified through a number of approaches with different costs and logistical requirements. Methodology and Principal Findings In the context of a randomized controlled trial of an NPI with a constrained budget, we used a simulation approach to examine which approaches to measuring outcomes could provide greater statistical power to identify an effective intervention against confirmed influenza. We found that for a short epidemic season, the optimal design was to collect respiratory specimens at biweekly intervals, as well as following report of acute respiratory illness (ARI), for virologic testing by reverse transcription polymerase chain reaction (RT-PCR). Collection of respiratory specimens only from individuals reporting ARI was also an efficient design particularly for studies in settings with longer periods of influenza activity. Collection of specimens only from individuals reporting a febrile ARI was less efficient. Collection and testing of sera before and after influenza activity appeared to be inferior to collection of respiratory specimens for RT-PCR confirmation of acute infections. The performance of RT-PCR was robust to uncertainty in the costs and diagnostic performance of RT-PCR and serological tests. Conclusions and Significance Our results suggest that unless the sensitivity or specificity of serology can be increased RT-PCR will remain as the preferable outcome measure in NPI studies. Routine collection of specimens for RT-PCR testing even when study participants do not report acute respiratory illness appears to be the most cost efficient design under most scenarios.
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Affiliation(s)
- Brendan Klick
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Hiroshi Nishiura
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
- PRESTO, Japan Science and Technology Agency, Saitama, Japan
| | - Benjamin J. Cowling
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
- * E-mail:
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Qin ZF, Sun J, Lu TK, Zeng SL, Hua QY, Ling QY, Chen SK, Lv JQ, Zhang CH, Cheng B, Ruan ZX, Bi YZ, Giambrone JJ, Wu HZ. Subtyping animal influenza virus with general multiplex RT-PCR and Liquichip high throughput (GMPLex). Virol Sin 2012; 27:120-31. [PMID: 22492003 DOI: 10.1007/s12250-012-3232-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2011] [Accepted: 03/05/2012] [Indexed: 11/24/2022] Open
Abstract
This study developed a multiplex RT-PCR integrated with luminex technology to rapidly subtype simultaneously multiple influenza viruses. Primers and probes were designed to amplify NS and M genes of influenza A viruses HA gene of H1, H3, H5, H7, H9 subtypes, and NA gene of the N1 and N2 subtypes. Universal super primers were introduced to establish a multiplex RT-PCR (GM RT-PCR). It included three stages of RT-PCR amplification, and then the RT-PCR products were further tested by LiquiChip probe, combined to give an influenza virus (IV) rapid high throughput subtyping test, designated as GMPLex. The IV GMPLex rapid high throughput subtyping test presents the following features: high throughput, able to determine the subtypes of 9 target genes in H1, H3, H5, H7, H9, N1, and N2 subtypes of the influenza A virus at one time; rapid, completing the influenza subtyping within 6 hours; high specificity, ensured the specificity of the different subtypes by using two nested degenerate primers and one probe, no cross reaction occurring between the subtypes, no non-specific reactions with other pathogens and high sensitivity. When used separately to detect the product of single GM RT-PCR for single H5 or N1 gene, the GMPLex test showed a sensitivity of 10⁻⁵(= 280ELD₅₀) forboth tests and the Luminex qualitative ratio results were 3.08 and 3.12, respectively. When used to detect the product of GM RT-PCR for H5N1 strain at the same time, both showed a sensitivity of 10⁻⁴(=2800 ELD₅₀). The GMPLex rapid high throughput subtyping test can satisfy the needs of influenza rapid testing.
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Affiliation(s)
- Zhi-feng Qin
- Shenzhen Entry-Exit Inspection and Quarantine Bureau, Shenzhen 518010, China.
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Microbiologic Diagnosis of Respiratory Illness. KENDIG & CHERNICKÂS DISORDERS OF THE RESPIRATORY TRACT IN CHILDREN 2012. [PMCID: PMC7151856 DOI: 10.1016/b978-1-4377-1984-0.00024-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Applicability of a sensitive duplex real-time PCR assay for identifying B/Yamagata and B/Victoria lineages of influenza virus from clinical specimens. Appl Microbiol Biotechnol 2011; 93:797-805. [PMID: 22113559 DOI: 10.1007/s00253-011-3710-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2011] [Revised: 10/24/2011] [Accepted: 11/05/2011] [Indexed: 10/15/2022]
Abstract
Type B influenza virus is one of the major epidemic strains and responsible for considerable mortality and morbidity. Rapidly and accurately identifying different influenza B virus lineages, i.e., B/Yamagata (B/Y) and B/Victoria (B/V), is desirable during the flu season. However, the available rapid techniques lack sensitivity, and the usual methods for identifying influenza viruses require expansion of virus in tissue culture or embryonated hen's eggs. Thus, we developed several sets of primer pairs that were able to detect and distinguish B/Y and B/V in a single real-time PCR assay. Used in conjunction with two sets of specific primers that exhibited purine at 3' end of at least one primer targeting on HA gene of B/Y and B/V lineages allows us to accurately identify approximately 10(2) copies per microliter for B/Y and B/V with intra- and inter-assay coefficient of variation (CV) <4%. When it was used to test 17,765 throat swab specimens obtained in the 2006-2010 influenza surveillance season, this method was comparable to hemagglutination inhibition assay in detection, typing and subtyping of influenza viruses with 100% true-negative (specificity) and 100% true-positive (sensitivity). Taken together, this method provides sensitive and robust tool for routine diagnosis and on-time epidemiological examination for WHO decisions on vaccine composition.
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Abstract
Influenza viruses continue to be a major cause of respiratory tract infection, resulting in substantial morbidity and mortality throughout the world. Accurate and rapid differential diagnosis of influenza virus infections, particularly associated with zoonotic infections, is important for public health actions, patient management, and treatment. Real-time PCR is widely considered the gold standard for molecular detection of influenza viruses owing to its high assay specificity, extreme detection sensitivity, and wide linear dynamic range. This protocol describes the use of a real-time RT-PCR assay for identification of influenza A and B viruses, detection of H5 subtype viruses, and an internal control, in a multiplexed, single-tube format. The inclusion of an internal bacteriophage control allows the efficiency of the extraction and amplification process to be monitored, so that false-negative results may be avoided. The primers and probe sets in this multiplex assay have been validated with a panel of influenza A viruses of different subtypes (including swine influenza viruses), and influenza B viruses, and specificity further confirmed with non-related respiratory viruses.
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Smit PM, Limper M, van Gorp ECM, Smits PHM, Beijnen JH, Brandjes DPM, Mulder JW. Adult outpatient experience of the 2009 H1N1 pandemic: clinical course, pathogens, and evaluation of case definitions. J Infect 2011; 62:371-8. [PMID: 21420427 PMCID: PMC7112679 DOI: 10.1016/j.jinf.2011.03.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2010] [Revised: 03/09/2011] [Accepted: 03/11/2011] [Indexed: 11/04/2022]
Abstract
Objectives The aim was to describe causative agents and clinical characteristics in adult outpatients with upper airway symptoms during the 2009 H1N1 pandemic and to evaluate case definitions that are used in clinical practice. Methods From August through December 2009, 964 symptomatic adult outpatients were included. RT-PCR was used to detect the following pathogens: influenza A (H1N1) and B, parainfluenza 1–4, adenovirus, respiratory syncytial virus, human rhinovirus, human metapneumovirus, human coronavirus (OC43, 229E, NL63), Chlamydia pneumoniae, Mycoplasma pneumoniae and Legionella species. The Dutch GHOR, American CDC and WHO, and British HPA case definitions were evaluated. Results A respiratory pathogen was detected in 41% of tested patient samples; influenza A (H1N1) and human rhinovirus were both detected in 16%. Clinical presentation of influenza cases was significantly more serious when compared to rhinovirus or negative-tested cases. Test characteristics were almost similar for all 4 case definitions, with an average sensitivity of 66%, specificity of 70%, positive predictive value of 34% and negative predictive value of 90%. Conclusions Influenza A (H1N1) and human rhinovirus were the major pathogens responsible for respiratory disease. The 2009 H1N1 pandemic in Amsterdam followed a mild course. Test characteristics of 4 different clinical case definitions seemed comparable but rather useless.
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Affiliation(s)
- Patrick M Smit
- Department of Internal Medicine, Slotervaart Hospital, Louwesweg 6, 1066 EC Amsterdam, The Netherlands.
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Zhang L, Zhang X, Ma Q, Ma F, Zhou H. Transcriptomics and proteomics in the study of H1N1 2009. GENOMICS PROTEOMICS & BIOINFORMATICS 2011; 8:139-44. [PMID: 20970742 PMCID: PMC5054133 DOI: 10.1016/s1672-0229(10)60016-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Influenza A virus (H1N1) 2009, a new swine-origin influenza A virus, has been spread worldwidely and caused great public fear. High-throughput transcriptomics and proteomics methods are now being used to identify H1N1 and H1N1-host interaction. This article reviews recent transcriptomics and proteomics research in H1N1 diagnosis, treatment, and H1N1 virus-host interaction, to offer some help for further understanding the infection mechanism and controlling H1N1 transmission.
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Affiliation(s)
- Lijun Zhang
- Department of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha 410078, China
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
- Corresponding authors.
| | - Xiaojun Zhang
- Department of Neurosurgery, Fuzhou General Hospital, Fuzhou 350025, China
| | - Qing Ma
- School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, NY 14260, USA
| | - Fang Ma
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Honghao Zhou
- Department of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha 410078, China
- Corresponding authors.
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Xu G, Hsieh TM, Lee DYS, Ali EM, Xie H, Looi XL, Koay ESC, Li MH, Ying JY. A self-contained all-in-one cartridge for sample preparation and real-time PCR in rapid influenza diagnosis. LAB ON A CHIP 2010; 10:3103-3111. [PMID: 20865195 DOI: 10.1039/c005265e] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Herein we present a fully automated system with pseudo-multiplexing capability for rapid infectious disease diagnosis. The all-in-one system was comprised of a polymer cartridge, a miniaturized thermal cycler, 1-color, 3-chamber fluorescence detectors for real-time reverse transcription polymerase chain reaction (RRT-PCR), and a pneumatic fluidic delivery unit consisting of two pinch-valve manifolds and two pneumatic pumps. The disposable, self-contained cartridge held all the necessary reagents for viral RNA purification and reverse transcription polymerase chain reaction (RT-PCR) detection, which took place all within the completely sealed cartridge. The operator only needed to pipette the patient's sample with lysis buffer into the cartridge, and the system would automatically perform the entire sample preparation and diagnosis within 2.5 h. We have successfully employed this system for seasonal influenza A H1N1 typing and sub-typing, obtaining comparable sensitivity as the experiments conducted using manual RNA extraction and commercial thermal cycler. A minimum detectable virus loading of 100 copies per μl has been determined by serial dilution experiments. This all-in-one desktop system would be suitable for decentralized disease diagnosis at immigration check points and outpatient clinics, and would not require highly skilled operators.
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Affiliation(s)
- Guolin Xu
- Institute of Bioengineering and Nanotechnology, The Nanos, Singapore
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