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Kim TY, Lim MC, Lim JA, Choi SW, Woo MA. Microarray detection method for pathogen genes by on-chip signal amplification using terminal deoxynucleotidyl transferase. MICRO AND NANO SYSTEMS LETTERS 2022. [DOI: 10.1186/s40486-022-00153-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
AbstractA microarray detection method based on on-chip signal amplification using terminal deoxynucleotidyl transferase (TdT) was developed to visualize pathogenic genes. Cyclic olefin copolymer (COC) substrate for microarrays was treated with oxygen plasma to induce hydrophilic surface properties. The capture probe DNA was immobilized on the COC surface by UV irradiation. The 3ʹ end of the capture probe DNA immobilized on the COC surface was modified with a phosphate group to provide resistance against the TdT reaction. Therefore, the TdT reaction was triggered only when the capture probe DNA acquired the target gene, and biotin-11-deoxyuridine triphosphate (b-dUTP) was continuously added to the 3ʹ end of the target gene. Thereafter, streptavidin-conjugated gold nanoparticles (s-AuNPs) tagged the poly uridine tails by the biotin–streptavidin interaction. The visual signal was amplified by silver enhancement in the presence of the s-AuNPs. The usefulness of this detection method was confirmed by analyzing four pathogens and allowing their visual identification.
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A Methodical Review on the Applications and Potentialities of Using Nanobiosensors for Disease Diagnosis. BIOMED RESEARCH INTERNATIONAL 2022; 2022:1682502. [PMID: 35103234 PMCID: PMC8799955 DOI: 10.1155/2022/1682502] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/23/2021] [Accepted: 01/08/2022] [Indexed: 12/11/2022]
Abstract
Presently, with the introduction of nanotechnology, the evolutions and applications of biosensors and/or nanobiosensors are becoming prevalent in various scientific domains such as environmental and agricultural sciences as well as biomedical, clinical, and healthcare sciences. Trends in these aspects have led to the discovery of various biosensors/nanobiosensors with their tremendous benefits to mankind. The characteristics of the various biosensors/nanobiosensors are primarily based on the nature of nanomaterials/nanoparticles employed in the sensing mechanisms. In the last few years, the identification, as well as the detection of biological markers linked with any form of diseases (communicable or noncommunicable), has been accomplished by several sensing procedures using nanotechnology vis-à-vis biosensors/nanobiosensors. Hence, this study employs a systematic approach in reviewing some contemporary developed exceedingly sensitive nanobiosensors alongside their biomedical, clinical, or/and healthcare applications as well as their potentialities, specifically for the detection of some deadly diseases drawn from some of the recent publications. Ways forward in the form of future trends that will advance creative innovations of the potentialities of nanobiosensors for biomedical, clinical, or/and healthcare applications particularly for disease diagnosis are also highlighted.
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Nucleic Acids Analytical Methods for Viral Infection Diagnosis: State-of-the-Art and Future Perspectives. Biomolecules 2021; 11:biom11111585. [PMID: 34827583 PMCID: PMC8615992 DOI: 10.3390/biom11111585] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 10/23/2021] [Accepted: 10/25/2021] [Indexed: 11/25/2022] Open
Abstract
The analysis of viral nucleic acids (NA), DNA or RNA, is a crucial issue in the diagnosis of infections and the treatment and prevention of related human diseases. Conventional nucleic acid tests (NATs) require multistep approaches starting from the purification of the pathogen genetic material in biological samples to the end of its detection, basically performed by the consolidated polymerase chain reaction (PCR), by the use of specialized instruments and dedicated laboratories. However, since the current NATs are too constraining and time and cost consuming, the research is evolving towards more integrated, decentralized, user-friendly, and low-cost methods. These will allow the implementation of massive diagnoses addressing the growing demand of fast and accurate viral analysis facing such global alerts as the pandemic of coronavirus disease of the recent period. Silicon-based technology and microfluidics, in this sense, brought an important step up, leading to the introduction of the genetic point-of-care (PoC) systems. This review goes through the evolution of the analytical methods for the viral NA diagnosis of infection diseases, highlighting both advantages and drawbacks of the innovative emerging technologies versus the conventional approaches.
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George Kerry R, Ukhurebor KE, Kumari S, Maurya GK, Patra S, Panigrahi B, Majhi S, Rout JR, Rodriguez-Torres MDP, Das G, Shin HS, Patra JK. A comprehensive review on the applications of nano-biosensor-based approaches for non-communicable and communicable disease detection. Biomater Sci 2021; 9:3576-3602. [PMID: 34008586 DOI: 10.1039/d0bm02164d] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The outstretched applications of biosensors in diverse domains has become the reason for their attraction for scientific communities. Because they are analytical devices, they can detect both quantitative and qualitative biological components through the generation of detectable signals. In the recent past, biosensors witnessed significant changes and developments in their design as well as features. Nanotechnology has revolutionized sensing phenomena by increasing biodiagnostic capacity in terms of specificity, size, and cost, resulting in exceptional sensitivity and flexibility. The steep increase of non-communicable diseases across the world has emerged as a matter of concern. In parallel, the abrupt outbreak of communicable diseases poses a serious threat to mankind. For decreasing the morbidity and mortality associated with various communicable and non-communicable diseases, early detection and subsequent treatment are indispensable. Detection of different biological markers generates quantifiable signals that can be electrochemical, mass-based, optical, thermal, or piezoelectric. Speculating on the incumbent applicability and versatility of nano-biosensors in large disciplines, this review highlights different types of biosensors along with their components and detection mechanisms. Moreover, it deals with the current advancements made in biosensors and the applications of nano-biosensors in detection of various non-communicable and communicable diseases, as well as future prospects of nano-biosensors for diagnostics.
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Affiliation(s)
- Rout George Kerry
- Department of Biotechnology, Utkal University, Vani Vihar, Bhubaneswar, Odisha 751004, India
| | - Kingsley Eghonghon Ukhurebor
- Climatic/Environmental/Telecommunication Unit, Department of Physics, Edo University Iyamho, P.B.M. 04, Auchi, 312101, Edo State, Nigeria
| | - Swati Kumari
- Biopioneer Private limited, Bhubaneswar, Odisha 751024, India
| | - Ganesh Kumar Maurya
- Zoology Section, Mahila MahaVidyalya, Banaras Hindu University, Varanasi-221005, India
| | - Sushmita Patra
- Department of Biotechnology, North Odissa University, Takatpur, Baripada, Odisha 757003, India
| | - Bijayananda Panigrahi
- Biopioneer Private limited, Bhubaneswar, Odisha 751024, India and School of Biotechnology, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha 751024, India
| | - Sanatan Majhi
- Department of Biotechnology, Utkal University, Vani Vihar, Bhubaneswar, Odisha 751004, India
| | | | - María Del Pilar Rodriguez-Torres
- Departamento de Ingeniería Molecular de Materiales, Centro de Física Aplicada y Tecnología Avanzada, Universidad Nacional Autónoma de México, Blvd Juriquilla 3001, 76230, Querétaro, Mexico
| | - Gitishree Das
- Research Institute of Biotechnology & Medical Converged Science, Dongguk University-Seoul, Goyangsi, Republic of Korea.
| | - Han-Seung Shin
- Department of Food Science & Biotechnology, Dongguk University-Seoul, Goyangsi, Republic of Korea
| | - Jayanta Kumar Patra
- Research Institute of Biotechnology & Medical Converged Science, Dongguk University-Seoul, Goyangsi, Republic of Korea.
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Zhang N, Wang L, Deng X, Liang R, Su M, He C, Hu L, Su Y, Ren J, Yu F, Du L, Jiang S. Recent advances in the detection of respiratory virus infection in humans. J Med Virol 2020; 92:408-417. [PMID: 31944312 DOI: 10.1002/jmv.v92.410.1002/jmv.25674] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 01/12/2020] [Indexed: 05/24/2023]
Abstract
Respiratory tract viral infection caused by viruses or bacteria is one of the most common diseases in human worldwide, while those caused by emerging viruses, such as the novel coronavirus, 2019-nCoV that caused the pneumonia outbreak in Wuhan, China most recently, have posed great threats to global public health. Identification of the causative viral pathogens of respiratory tract viral infections is important to select an appropriate treatment, save people's lives, stop the epidemics, and avoid unnecessary use of antibiotics. Conventional diagnostic tests, such as the assays for rapid detection of antiviral antibodies or viral antigens, are widely used in many clinical laboratories. With the development of modern technologies, new diagnostic strategies, including multiplex nucleic acid amplification and microarray-based assays, are emerging. This review summarizes currently available and novel emerging diagnostic methods for the detection of common respiratory viruses, such as influenza virus, human respiratory syncytial virus, coronavirus, human adenovirus, and human rhinovirus. Multiplex assays for simultaneous detection of multiple respiratory viruses are also described. It is anticipated that such data will assist researchers and clinicians to develop appropriate diagnostic strategies for timely and effective detection of respiratory virus infections.
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Affiliation(s)
- Naru Zhang
- Department of Clinical Medicine, School of Medicine, Zhejiang University City College, Hangzhou, China
| | - Lili Wang
- State Key Laboratory of North China Crop Improvement and Regulation, Research Center of Chinese Jujube, Hebei Agricultural University, Baoding, China
| | - Xiaoqian Deng
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Ruiying Liang
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Meng Su
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Chen He
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Lanfang Hu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Yudan Su
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Jing Ren
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Fei Yu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Lanying Du
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
| | - Shibo Jiang
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
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6
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Zhang N, Wang L, Deng X, Liang R, Su M, He C, Hu L, Su Y, Ren J, Yu F, Du L, Jiang S. Recent advances in the detection of respiratory virus infection in humans. J Med Virol 2020; 92:408-417. [PMID: 31944312 PMCID: PMC7166954 DOI: 10.1002/jmv.25674] [Citation(s) in RCA: 250] [Impact Index Per Article: 62.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 01/12/2020] [Indexed: 12/20/2022]
Abstract
Respiratory tract viral infection caused by viruses or bacteria is one of the most common diseases in human worldwide, while those caused by emerging viruses, such as the novel coronavirus, 2019‐nCoV that caused the pneumonia outbreak in Wuhan, China most recently, have posed great threats to global public health. Identification of the causative viral pathogens of respiratory tract viral infections is important to select an appropriate treatment, save people's lives, stop the epidemics, and avoid unnecessary use of antibiotics. Conventional diagnostic tests, such as the assays for rapid detection of antiviral antibodies or viral antigens, are widely used in many clinical laboratories. With the development of modern technologies, new diagnostic strategies, including multiplex nucleic acid amplification and microarray‐based assays, are emerging. This review summarizes currently available and novel emerging diagnostic methods for the detection of common respiratory viruses, such as influenza virus, human respiratory syncytial virus, coronavirus, human adenovirus, and human rhinovirus. Multiplex assays for simultaneous detection of multiple respiratory viruses are also described. It is anticipated that such data will assist researchers and clinicians to develop appropriate diagnostic strategies for timely and effective detection of respiratory virus infections. Respiratory tract viral infection including 2019‐nCoV poses great threats worldwide. Currently available and novel emerging diagnostic methods are summarized for several common respiratory viruses, including influenza virus, human respiratory syncytial virus, coronavirus, human adenovirus and human rhinovirus. Multiplex assays for simultaneous detection of multiple respiratory viruses are also described. This review is aimed to assist researchers and clinicians to develop timely and effective diagnostic strategies to detect respiratory virus infections.
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Affiliation(s)
- Naru Zhang
- Department of Clinical Medicine, School of Medicine, Zhejiang University City College, Hangzhou, China
| | - Lili Wang
- State Key Laboratory of North China Crop Improvement and Regulation, Research Center of Chinese Jujube, Hebei Agricultural University, Baoding, China
| | - Xiaoqian Deng
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Ruiying Liang
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Meng Su
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Chen He
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Lanfang Hu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Yudan Su
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Jing Ren
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Fei Yu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Lanying Du
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
| | - Shibo Jiang
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York.,Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
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Mitsakakis K, D'Acremont V, Hin S, von Stetten F, Zengerle R. Diagnostic tools for tackling febrile illness and enhancing patient management. MICROELECTRONIC ENGINEERING 2018; 201:26-59. [PMID: 32287568 PMCID: PMC7114275 DOI: 10.1016/j.mee.2018.10.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Most patients with acute infectious diseases develop fever, which is frequently a reason to visit health facilities in resource-limited settings. The symptomatic overlap between febrile diseases impedes their diagnosis on clinical grounds. Therefore, the World Health Organization promotes an integrated management of febrile illness. Along this line, we present an overview of endemic and epidemic etiologies of fever and state-of-the-art diagnostic tools used in the field. It becomes evident that there is an urgent need for the development of novel technologies to fulfill end-users' requirements. This need can be met with point-of-care and near-patient diagnostic platforms, as well as e-Health clinical algorithms, which co-assess test results with key clinical elements and biosensors, assisting clinicians in patient triage and management, thus enhancing disease surveillance and outbreak alerts. This review gives an overview of diagnostic technologies featuring a platform based approach: (i) assay (nucleic acid amplification technologies are examined); (ii) cartridge (microfluidic technologies are presented); (iii) instrument (various detection technologies are discussed); and at the end proposes a way that such technologies can be interfaced with electronic clinical decision-making algorithms towards a broad and complete diagnostic ecosystem.
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Affiliation(s)
- Konstantinos Mitsakakis
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
- Laboratory for MEMS Applications, IMTEK – Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
- Corresponding author.
| | - Valérie D'Acremont
- Swiss Tropical and Public Health Institute, University of Basel, Socinstrasse 57, 4002 Basel, Switzerland
- Department of Ambulatory Care and Community Medicine, University of Lausanne, Bugnon 44, 1011 Lausanne, Switzerland
| | - Sebastian Hin
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
| | - Felix von Stetten
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
- Laboratory for MEMS Applications, IMTEK – Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
| | - Roland Zengerle
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
- Laboratory for MEMS Applications, IMTEK – Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
- BIOSS – Centre for Biological Signalling Studies, University of Freiburg, Schaenzlestr. 18, 79104 Freiburg, Germany
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8
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Ahmed SR, Neethirajan S. Chiral MoS 2 Quantum Dots: Dual-Mode Detection Approaches for Avian Influenza Viruses. GLOBAL CHALLENGES (HOBOKEN, NJ) 2018; 2:1700071. [PMID: 31565328 PMCID: PMC6607333 DOI: 10.1002/gch2.201700071] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 02/04/2018] [Indexed: 05/05/2023]
Abstract
Molybdenum disulfide (MoS2), a type of transition metal dichalcogenide material, has emerged as an important class among 2D systems. When 2D MoS2 materials are reduced to 0D quantum dots (QDs), they introduce new optical properties that point to several potential technological advantages in electronic, magnetic, optical, and catalytic properties. In this study, a simple way to produce chiral MoS2 QDs from MoS2 nanopowder is presented using l(+)-ascorbic acid as a reducing agent. The calculated quantum yield of QDs is 11.06%. Experimental results reveal that the size of QDs is uniformly monodispersed (2-3 nm) and have a blue emissive fluorescence peak and circular dichroism (CD) peak located at 420 and 330 nm, respectively. Furthermore, a dual-mode detection system based on fluorescence and chirality is performed using as-synthesized MoS2 QDs, where QDs are conjugated with anti-hemagglutinin antibodies of avian influenza virus and made into an immunobridge in the presence of target virus and anti-neuraminidase antibodies conjugated magnetic nanoparticles (MNPs). The photoluminescence and CD spectra of unconjugated QDs after separated magnetochirofluorescent (MNPs-QDs) nanohybrids by external magnets enables influenza virus A (H5N1) detection with the limit of detection value of 7.35 and 80.92 pg mL-1, respectively.
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Affiliation(s)
- Syed Rahin Ahmed
- BioNano LaboratorySchool of EngineeringUniversity of GuelphGuelphOntarioN1G 2W1Canada
| | - Suresh Neethirajan
- BioNano LaboratorySchool of EngineeringUniversity of GuelphGuelphOntarioN1G 2W1Canada
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9
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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: 172] [Impact Index Per Article: 28.7] [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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Moulick A, Richtera L, Milosavljevic V, Cernei N, Haddad Y, Zitka O, Kopel P, Heger Z, Adam V. Advanced nanotechnologies in avian influenza: Current status and future trends - A review. Anal Chim Acta 2017; 983:42-53. [PMID: 28811028 PMCID: PMC7094654 DOI: 10.1016/j.aca.2017.06.045] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 06/24/2017] [Accepted: 06/26/2017] [Indexed: 02/04/2023]
Abstract
In the last decade, the control of avian influenza virus has experienced many difficulties, which have caused major global agricultural problems that have also led to public health consequences. Conventional biochemical methods are not sufficient to detect and control agricultural pathogens in the field due to the growing demand for food and subsidiary products; thus, studies aiming to develop potent alternatives to conventional biochemical methods are urgently needed. In this review, emerging detection systems, their applicability to diagnostics, and their therapeutic possibilities in view of nanotechnology are discussed. Nanotechnology-based sensors are used for rapid, sensitive and cost-effective diagnostics of agricultural pathogens. The application of different nanomaterials promotes interactions between these materials and the virus, which enables researchers to construct portable electroanalytical biosensing analyser that should effectively detect the influenza virus. The present review will provide insights into the guidelines for future experiments to develop better techniques to detect and control influenza viruses.
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Affiliation(s)
- Amitava Moulick
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Lukas Richtera
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Vedran Milosavljevic
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Natalia Cernei
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Yazan Haddad
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Ondrej Zitka
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Pavel Kopel
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Zbynek Heger
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Vojtech Adam
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic.
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Zheng L, Wei J, Lv X, Bi Y, Wu P, Zhang Z, Wang P, Liu R, Jiang J, Cong H, Liang J, Chen W, Cao H, Liu W, Gao GF, Du Y, Jiang X, Li X. Detection and differentiation of influenza viruses with glycan-functionalized gold nanoparticles. Biosens Bioelectron 2017; 91:46-52. [PMID: 27987410 DOI: 10.1016/j.bios.2016.12.037] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 12/08/2016] [Accepted: 12/13/2016] [Indexed: 01/08/2023]
Abstract
Accurate diagnosis of influenza viruses is difficult and generally requires a complex process because of viral diversity and rapid mutability. In this study, we report a simple and rapid strategy for the detection and differentiation of influenza viruses using glycan-functionalized gold nanoparticles (gGNPs). This method is based on the aggregation of gGNP probes on the viral surface, which is mediated by the specific binding of the virus to the glycans. Using a set of gGNPs bearing different glycan structures, fourteen influenza virus strains, including the major subtypes currently circulating in human and avian populations, were readily differentiated from each other and from a human respiratory syncytial virus in a single-step colorimetric procedure. The results presented here demonstrate the potential of this gGNP-based system in the development of convenient and portable sensors for the clinical diagnosis and surveillance of influenza viruses.
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Affiliation(s)
- Longtang Zheng
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Huairou District, Beijing 101408, China
| | - Jinhua Wei
- State Key Laboratory of Biochemical Engineering, PLA Key Laboratory of Biopharmaceutical Production & Formulation Engineering, Institute of Process Engineering, Chinese Academy of Sciences (CAS), Zhongguancun, Beijing 100190, China
| | - Xun Lv
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China; Center for Influenza Research and Early-warning, Chinese Academy of Sciences (CASCIRE), Chaoyang District, Beijing 100101, China
| | - Peixing Wu
- Lanzhou Institute of Animal Science and Veterinary Pharmaceutics, Chinese Academy of Agricultural Science, Lanzhou 730050, China
| | - Zhenxing Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Huairou District, Beijing 101408, China
| | - Pengfei Wang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Huairou District, Beijing 101408, China
| | - Ruichen Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China
| | - Jingwen Jiang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Huairou District, Beijing 101408, China
| | - Haolong Cong
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China
| | - Jingnan Liang
- Core Facility, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China
| | - Wenwen Chen
- CAS Key Lab for Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Zhongguancun, Beijing 100190, China
| | - Hongzhi Cao
- National Glycoengineering Research Center, School of Pharmaceutical Science, Shandong University, Jinan 250012, China
| | - Wenjun Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China; Center for Influenza Research and Early-warning, Chinese Academy of Sciences (CASCIRE), Chaoyang District, Beijing 100101, China
| | - George F Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China; Center for Influenza Research and Early-warning, Chinese Academy of Sciences (CASCIRE), Chaoyang District, Beijing 100101, China
| | - Yuguang Du
- State Key Laboratory of Biochemical Engineering, PLA Key Laboratory of Biopharmaceutical Production & Formulation Engineering, Institute of Process Engineering, Chinese Academy of Sciences (CAS), Zhongguancun, Beijing 100190, China
| | - Xingyu Jiang
- CAS Key Lab for Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Zhongguancun, Beijing 100190, China
| | - Xuebing Li
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China; National Engineering Research Center for Carbohydrate Synthesis, Jiangxi Normal University, Nanchang 330022, China; Savaid Medical School, University of Chinese Academy of Sciences, Huairou District, Beijing 101408, China; Center for Influenza Research and Early-warning, Chinese Academy of Sciences (CASCIRE), Chaoyang District, Beijing 100101, China.
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12
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Wiriyachaiporn N, Sirikett H, Maneeprakorn W, Dharakul T. Carbon nanotag based visual detection of influenza A virus by a lateral flow immunoassay. Mikrochim Acta 2017. [PMCID: PMC7087861 DOI: 10.1007/s00604-017-2191-6] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The authors report on a rapid and direct visual test for the detection of influenza A virus using a carbon nanotag based lateral flow assay. Carbon nanoparticles in the form of nanostrings are acting as reporters. As carbon nanotags accumulate in the test zone due to formation of an antibody-antigen-carbon nanotag antibody complex, and this allows for the direct visualization of the analytical signal. Under optimal conditions, influenza A virus can be determined in allantoic fluid inoculated with the virus with a limit of detection of 350 TCID50.mL−1 (i.e., the 50% tissue culture infectious dose). No interference is found for several other tested proteins, and for closely related viruses. Cell lysates containing different seasonal strains of influenza A viruses (including the H1N1 and H3N2 strains) collected from clinical samples were analyzed. It is demonstrated that the method can detect both influenza A viruses without interference by biological matrices. In our perception, this method has a wide potential in that it may be extended to a generally applicable platform for rapid diagnosis influenza A viruses. Schematic of a rapid and direct visual test for the detection of influenza A virus using a carbon nanotag based lateral flow immunoassay. The presence of the virus induces an accumulation of the carbon nanotag conjugates, thereby providing a signal visualization. ![]()
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Affiliation(s)
- Natpapas Wiriyachaiporn
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), PathumThani, 12120 Thailand
| | - Hathainan Sirikett
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), PathumThani, 12120 Thailand
| | - Weerakanya Maneeprakorn
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), PathumThani, 12120 Thailand
| | - Tararaj Dharakul
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), PathumThani, 12120 Thailand
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700 Thailand
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13
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Yin HQ, Ji CF, Yang XQ, Wang R, Yang S, Zhang HQ, Zhang JG. An improved gold nanoparticle probe-based assay for HCV core antigen ultrasensitive detection. J Virol Methods 2017; 243:142-145. [PMID: 28189584 DOI: 10.1016/j.jviromet.2017.02.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 02/07/2017] [Accepted: 02/07/2017] [Indexed: 12/22/2022]
Abstract
A gold nanoparticle probe-based assay (GNPA) was developed for ultrasensitive detection of Hepatitis C virus (HCV) core antigen. In the GNPA, after anti-HCV core antigen polyclonal antibodies and single-stranded barcode signal DNA were labeled on gold nanoparticle probe (NP), DNA enzyme was used to degrade the unbound barcode DNAs. The anti-HCV core antigen monoclonal antibodies were coated on magnetic microparticles probe (MMP). Then the NP-HCV core antigen-MMP sandwich immuno-complex was formed when the target antigen protein was added and captured. Magnetically separated, the immuno-complex containing the single-stranded barcode signal DNA was characterized by TaqMan probe based real-time fluorescence PCR. A detection limit of 1 fg/ml was determined for the HCV core antigen which is magnitude greater than that of ELISA (2ng/ml). The coefficients of variation (CV) of intra-assay and inter-assay respectively ranged from 0.22-2.62% and 1.92-3.01%. The improved GNPA decreased the interference of unbound barcode DNAs and may be an new way for HCV core antigen detection.
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Affiliation(s)
- Hui-Qiong Yin
- Beijing Institute of Transfusion Medicine, Beijing 100850, China
| | - Chang-Fu Ji
- Beijing Institute of Transfusion Medicine, Beijing 100850, China
| | - Xi-Qin Yang
- Beijing Institute of Basic Medical Science, Beijing 100850, China
| | - Rui Wang
- Beijing Institute of Transfusion Medicine, Beijing 100850, China
| | - Shu Yang
- Beijing Institute of Transfusion Medicine, Beijing 100850, China
| | - He-Qiu Zhang
- Beijing Institute of Basic Medical Science, Beijing 100850, China
| | - Jin-Gang Zhang
- Beijing Institute of Transfusion Medicine, Beijing 100850, China.
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14
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Ahmed SR, Nagy É, Neethirajan S. Self-assembled star-shaped chiroplasmonic gold nanoparticles for an ultrasensitive chiro-immunosensor for viruses. RSC Adv 2017. [DOI: 10.1039/c7ra07175b] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Nanoengineered chiral gold nanoparticles and quantum dots for ultrasensitive chiroptical sensing of viruses in blood samples.
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Affiliation(s)
- Syed Rahin Ahmed
- BioNano Laboratory
- School of Engineering
- University of Guelph
- Guelph
- Canada N1G 2W1
| | - Éva Nagy
- Department of Pathobiology
- Ontario Veterinary College
- University of Guelph
- Guelph
- Canada
| | - Suresh Neethirajan
- BioNano Laboratory
- School of Engineering
- University of Guelph
- Guelph
- Canada N1G 2W1
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15
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Cheeveewattanagul N, Rijiravanich P, Surareungchai W, Somasundrum M. Loading of silicon nanoparticle labels with redox mediators for detection of multiple DNA targets within a single voltammetric sweep. J Electroanal Chem (Lausanne) 2016. [DOI: 10.1016/j.jelechem.2016.05.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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16
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Torres-Sangiao E, Holban AM, Gestal MC. Advanced Nanobiomaterials: Vaccines, Diagnosis and Treatment of Infectious Diseases. Molecules 2016; 21:molecules21070867. [PMID: 27376260 PMCID: PMC6273484 DOI: 10.3390/molecules21070867] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 06/21/2016] [Accepted: 06/25/2016] [Indexed: 11/16/2022] Open
Abstract
The use of nanoparticles has contributed to many advances due to their important properties such as, size, shape or biocompatibility. The use of nanotechnology in medicine has great potential, especially in medical microbiology. Promising data show the possibility of shaping immune responses and fighting severe infections using synthetic materials. Different studies have suggested that the addition of synthetic nanoparticles in vaccines and immunotherapy will have a great impact on public health. On the other hand, antibiotic resistance is one of the major concerns worldwide; a recent report of the World Health Organization (WHO) states that antibiotic resistance could cause 300 million deaths by 2050. Nanomedicine offers an innovative tool for combating the high rates of resistance that we are fighting nowadays, by the development of both alternative therapeutic and prophylaxis approaches and also novel diagnosis methods. Early detection of infectious diseases is the key to a successful treatment and the new developed applications based on nanotechnology offer an increased sensibility and efficiency of the diagnosis. The aim of this review is to reveal and discuss the main advances made on the science of nanomaterials for the prevention, diagnosis and treatment of infectious diseases. Highlighting innovative approaches utilized to: (i) increasing the efficiency of vaccines; (ii) obtaining shuttle systems that require lower antibiotic concentrations; (iii) developing coating devices that inhibit microbial colonization and biofilm formation.
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Affiliation(s)
- Eva Torres-Sangiao
- Department of Microbiology and Parasitology, University Santiago de Compostela, Galicia 15782, Spain.
| | - Alina Maria Holban
- Department of Microbiology and Immunology, Faculty of Biology, University of Bucharest, Bucharest 060101, Romania.
- Department of Science and Engineering of Oxide Materials and Nanomaterials, Faculty of Applied Chemistry and Materials Science, University Politehnica of Bucharest, Bucharest 060042, Romania.
| | - Monica Cartelle Gestal
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens (UGA), GA 30602, USA.
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17
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Vemula SV, Zhao J, Liu J, Wang X, Biswas S, Hewlett I. Current Approaches for Diagnosis of Influenza Virus Infections in Humans. Viruses 2016; 8:96. [PMID: 27077877 PMCID: PMC4848591 DOI: 10.3390/v8040096] [Citation(s) in RCA: 172] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Revised: 03/22/2016] [Accepted: 03/23/2016] [Indexed: 12/15/2022] Open
Abstract
Despite significant advancement in vaccine and virus research, influenza continues to be a major public health concern. Each year in the United States of America, influenza viruses are responsible for seasonal epidemics resulting in over 200,000 hospitalizations and 30,000–50,000 deaths. Accurate and early diagnosis of influenza viral infections are critical for rapid initiation of antiviral therapy to reduce influenza related morbidity and mortality both during seasonal epidemics and pandemics. Several different approaches are currently available for diagnosis of influenza infections in humans. These include viral isolation in cell culture, immunofluorescence assays, nucleic acid amplification tests, immunochromatography-based rapid diagnostic tests, etc. Newer diagnostic approaches are being developed to overcome the limitations associated with some of the conventional detection methods. This review discusses diagnostic approaches currently available for detection of influenza viruses in humans.
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Affiliation(s)
- Sai Vikram Vemula
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA.
| | - Jiangqin Zhao
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA.
| | - Jikun Liu
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA.
| | - Xue Wang
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA.
| | - Santanu Biswas
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA.
| | - Indira Hewlett
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA.
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18
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Multiplexed detection of influenza A virus subtype H5 and H9 via quantum dot-based immunoassay. Biosens Bioelectron 2015; 77:464-70. [PMID: 26454828 PMCID: PMC7126372 DOI: 10.1016/j.bios.2015.10.002] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Revised: 09/16/2015] [Accepted: 10/01/2015] [Indexed: 12/11/2022]
Abstract
A quantum dot-based lateral flow immunoassay system (QD-LFIAS) was developed to simultaneously detect both influenza A virus subtypes H5 and H9. Water-soluble carboxyl-functionalized quantum dots (QDs) were used as fluorescent tags. The QDs were conjugated to specific influenza A virus subtype H5 and H9 antibodies via an amide bond. When influenza A virus subtype H5 or H9 was added to the QD-LFIAS, the QD-labeled antibodies specifically bound to the H5 or H9 subtype viruses and were then captured by the coating antibodies at test line 1 or 2 to form a sandwich complex. This complex produced a bright fluorescent band in response to 365 nm ultraviolet excitation. The intensity of fluorescence can be detected using an inexpensive, low-maintenance instrument, and the virus concentration directly correlates with the fluorescence intensity. The detection limit of the QD-LFIAS for influenza A virus subtype H5 was 0.016 HAU, and the detection limit of the QD-LFIAS for influenza A virus subtype H9 was 0.25 HAU. The specificity and reproducibility were good. The simple analysis step and objective results that can be obtained within 15 min indicate that this QD-LFIAS is a highly efficient test that can be used to monitor and prevent both Influenza A virus subtypes H5 and H9.
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19
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Zhao J, Ragupathy V, Liu J, Wang X, Vemula SV, El Mubarak HS, Ye Z, Landry ML, Hewlett I. Nanomicroarray and multiplex next-generation sequencing for simultaneous identification and characterization of influenza viruses. Emerg Infect Dis 2015; 21:400-8. [PMID: 25694248 PMCID: PMC4344273 DOI: 10.3201/eid2103.141169] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Conventional methods for detection and discrimination of influenza viruses are time consuming and labor intensive. We developed a diagnostic platform for simultaneous identification and characterization of influenza viruses that uses a combination of nanomicroarray for screening and multiplex next-generation sequencing (NGS) assays for laboratory confirmation. The nanomicroarray was developed to target hemagglutinin, neuraminidase, and matrix genes to identify influenza A and B viruses. PCR amplicons synthesized by using an adapted universal primer for all 8 gene segments of 9 influenza A subtypes were detected in the nanomicroarray and confirmed by the NGS assays. This platform can simultaneously detect and differentiate multiple influenza A subtypes in a single sample. Use of these methods as part of a new diagnostic algorithm for detection and confirmation of influenza infections may provide ongoing public health benefits by assisting with future epidemiologic studies and improving preparedness for potential influenza pandemics.
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20
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Aliofkhazraei M, Pedrosa P, Carlos FF, Veigas B, Baptista PV. Gold Nanoparticles for DNA/RNA-Based Diagnostics. HANDBOOK OF NANOPARTICLES 2015. [PMCID: PMC7123017 DOI: 10.1007/978-3-319-15338-4_31] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
The remarkable physicochemical properties of gold nanoparticles (AuNPs) have prompted development in exploring biomolecular interactions with AuNPs-containing systems, pursuing biomedical applications in diagnostics. Among these applications, AuNPs have been remarkably useful for the development of DNA/RNA detection and characterization systems for diagnostics, including systems suitable for point of need. Here, emphasis will be on available molecular detection schemes of relevant pathogens and their molecular characterization, genomic sequences associated with medical conditions (including cancer), mutation and polymorphism identification, and the quantification of gene expression.
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21
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Cunha MV, Inácio J. Nucleic-acid testing, new platforms and nanotechnology for point-of-decision diagnosis of animal pathogens. Methods Mol Biol 2015; 1247:253-83. [PMID: 25399103 PMCID: PMC7122192 DOI: 10.1007/978-1-4939-2004-4_20] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Accurate disease diagnosis in animals is crucial for animal well-being but also for preventing zoonosis transmission to humans. In particular, livestock diseases may constitute severe threats to humans due to the particularly high physical contact and exposure and, also, be the cause of important economic losses, even in non-endemic countries, where they often arise in the form of rapid and devastating epidemics. Rapid diagnostic tests have been used for a long time in field situations, particularly during outbreaks. However, they mostly rely on serological approaches, which may confirm the exposure to a particular pathogen but may be inappropriate for point-of-decision (point-of-care) settings when emergency responses supported on early and accurate diagnosis are required. Moreover, they often exhibit modest sensitivity and hence significantly depend on later result confirmation in central or reference laboratories. The impressive advances observed in recent years in materials sciences and in nanotechnology, as well as in nucleic-acid synthesis and engineering, have led to an outburst of new in-the-bench and prototype tests for nucleic-acid testing towards point-of-care diagnosis of genetic and infectious diseases. Manufacturing, commercial, regulatory, and technical nature issues for field applicability more likely have hindered their wider entrance into veterinary medicine and practice than have fundamental science gaps. This chapter begins by outlining the current situation, requirements, difficulties, and perspectives of point-of-care tests for diagnosing diseases of veterinary interest. Nucleic-acid testing, particularly for the point of care, is addressed subsequently. A range of valuable signal transduction mechanisms commonly employed in proof-of-concept schemes and techniques born on the analytical chemistry laboratories are also described. As the essential core of this chapter, sections dedicated to the principles and applications of microfluidics, lab-on-a-chip, and nanotechnology for the development of point-of-care tests are presented. Microdevices already applied or under development for application in field diagnosis of animal diseases are reviewed.
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Affiliation(s)
- Mónica V. Cunha
- Instituto Nacional de Investigação Agrária e Veterinária, IP and Centro de Biologia Ambiental, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - João Inácio
- Instituto Nacional de Investigação Agrária e Veterinária, IP, Lisboa, Portugal and School of Pharmacy and Biomolecular Sciences, University of Brighton, Brighton, United Kingdom
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22
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A highly sensitive europium nanoparticle-based immunoassay for detection of influenza A/B virus antigen in clinical specimens. J Clin Microbiol 2014; 52:4385-7. [PMID: 25297327 DOI: 10.1128/jcm.02635-14] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
We report the development of a novel europium nanoparticle-based immunoassay (ENIA) for rapid detection of influenza A and influenza B viruses. The ENIA demonstrated sensitivities of 90.7% (147/162) for influenza A viruses and 81.80% (9/11) for influenza B viruses compared to those for an in-house reverse transcription (RT)-PCR assay in testing of influenza-positive clinical samples.
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23
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A review on emerging diagnostic assay for viral detection: the case of avian influenza virus. Mol Biol Rep 2014; 42:187-99. [PMID: 25245956 DOI: 10.1007/s11033-014-3758-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Accepted: 09/17/2014] [Indexed: 10/24/2022]
Abstract
Biotechnology-based detection systems and sensors are in use for a wide range of applications in biomedicine, including the diagnostics of viral pathogens. In this review, emerging detection systems and their applicability for diagnostics of viruses, exemplified by the case of avian influenza virus, are discussed. In particular, nano-diagnostic assays presently under development or available as prototype and their potentials for sensitive and rapid virus detection are highlighted.
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24
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Ye WW, Tsang MK, Liu X, Yang M, Hao J. Upconversion luminescence resonance energy transfer (LRET)-based biosensor for rapid and ultrasensitive detection of avian influenza virus H7 subtype. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2014; 10:2390-7. [PMID: 24599581 DOI: 10.1002/smll.201303766] [Citation(s) in RCA: 94] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2013] [Revised: 01/09/2014] [Indexed: 05/20/2023]
Abstract
Avian influenza viruses (AIV) with good adaptation and various mutations have threatened both human and animals' health. The H7 subtypes have the potential to cause pandemic threats to human health due to the highly pathogenic characteristics. Therefore, it is quite urgent to develop a novel biosensor for rapid and sensitive detection of H7 subtypes. In this work, a biosensor based on luminescence resonance energy transfer (LRET) from BaGdF5:Yb/Er upconversion nanoparticles (UCNPs) to gold nanoparticles (AuNPs) has been developed for rapid and sensitive H7 subtypes detection. The amino modified capture oligonucleotide probes are covalently linked to poly(ethylenimine) (PEI) modified BaGdF5:Yb/Er UCNPs. The thiol modified oligonucleotides with H7 hemagglutinin gene sequence are conjugated to surfaces of AuNPs. The hybridization process between complementary strands of H7 Hemagglutinin gene and its probe brings the energy donor and acceptor into close proximity, leading to the quenching of fluorescence of UCNPs. A linear response is obtained ranging from 10 pm to 10 nm and the limit of detection (LOD) is around 7 pm with detection time around 2 hours. This biosensor is expected to be a valuable diagnostic tool for rapid and sensitive detection of AIV.
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MESH Headings
- Animals
- Biosensing Techniques/instrumentation
- Biosensing Techniques/methods
- Birds
- Fluorescence Resonance Energy Transfer/instrumentation
- Fluorescence Resonance Energy Transfer/methods
- Gold
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Humans
- Influenza A Virus, H7N1 Subtype/genetics
- Influenza A Virus, H7N1 Subtype/isolation & purification
- Influenza A Virus, H7N2 Subtype/genetics
- Influenza A Virus, H7N2 Subtype/isolation & purification
- Influenza A Virus, H7N3 Subtype/genetics
- Influenza A Virus, H7N3 Subtype/isolation & purification
- Influenza A Virus, H7N7 Subtype/genetics
- Influenza A Virus, H7N7 Subtype/isolation & purification
- Influenza A Virus, H7N9 Subtype/genetics
- Influenza A Virus, H7N9 Subtype/isolation & purification
- Influenza A virus/classification
- Influenza A virus/genetics
- Influenza A virus/isolation & purification
- Influenza in Birds/diagnosis
- Influenza in Birds/virology
- Influenza, Human/diagnosis
- Influenza, Human/genetics
- Limit of Detection
- Luminescence
- Metal Nanoparticles/chemistry
- Sensitivity and Specificity
- Time Factors
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Affiliation(s)
- Wei Wei Ye
- Interdisciplinary Division of Biomedical Engineering, the Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, P. R. China
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25
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Kim YT, Jung JH, Choi YK, Seo TS. A packaged paper fluidic-based microdevice for detecting gene expression of influenza A virus. Biosens Bioelectron 2014; 61:485-90. [PMID: 24949821 DOI: 10.1016/j.bios.2014.06.006] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Revised: 05/21/2014] [Accepted: 06/01/2014] [Indexed: 11/27/2022]
Abstract
Pathotyping and subtyping of influenza A virus were performed with a packaged paper fluidic-based analytical microdevice (PFAM) after one-step reverse transcription-polymerase chain reaction (RT-PCR). The PFAM contains two test lines: one for detecting M gene to identify the influenza A virus and another for haemagglutinin subtyping to determine the viral strain among H1N1, H3N2, and H5N1. The M gene and the haemagglutinin gene (H1, H3, and H5 genes) were amplified by using the Digoxigenin and the Texas Red modified primers, respectively, in the multiplex RT-PCR. The amplicon products were loaded in the conjugate pad of the PFAM in which the streptavidin coated gold nanoparticles were linked with the biotin moieties that were incorporated in the middle of the DNA strands, and then captured by the anti-Digoxigenin and anti-Texas Red immobilized on the test lines. Influenza A H1N1, H3N2, and H5N1 could be identified with a limit of detection of 10(2) copies of RNA templates in 10 min. Pathotyping and subtyping of the clinical nasopharyngeal swab samples were also analyzed whose results were confirmed by real-time RT-PCR.
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Affiliation(s)
- Yong Tae Kim
- Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea
| | - Jae Hwan Jung
- Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea
| | - Young Ki Choi
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, 12 Gaeshin-Dong, Heungduk-gu, Cheongju-si, Chungcheongbuk-do 361-763, Republic of Korea
| | - Tae Seok Seo
- Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea.
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26
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Cho HJ, Jang JW, Ko SY, Choi SH, Lim CS, An SSA. Evaluation and verification of the nanosphere Verigene RV+ assay for detection of influenza A/B and H1/H3 subtyping. J Med Virol 2014; 87:18-24. [DOI: 10.1002/jmv.23970] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/07/2014] [Indexed: 11/06/2022]
Affiliation(s)
- Han Jin Cho
- Department of Emergency Medicine; Korea University; Seoul Republic of Korea
| | - Jin Woo Jang
- Department of Laboratory Medicine; College of Medicine; Korea University; Seoul Republic of Korea
| | - Sun Young Ko
- Department of Laboratory Medicine; College of Medicine; Korea University; Seoul Republic of Korea
| | - Sung Hyuk Choi
- Department of Emergency Medicine; Korea University; Seoul Republic of Korea
| | - Chae Seung Lim
- Department of Laboratory Medicine; College of Medicine; Korea University; Seoul Republic of Korea
| | - Seong Soo A. An
- College of Bionanotechnology & Gachon Medical Research Institute; Gachon University & Gil Medical Center; Seongnam-si Gyeonggi Do Republic of Korea
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27
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Zhao J, Wang X, Ragupathy V, Zhang P, Tang W, Ye Z, Eichelberger M, Hewlett I. Rapid detection and differentiation of swine-origin influenza A virus (H1N1/2009) from other seasonal influenza A viruses. Viruses 2012. [PMID: 23202513 PMCID: PMC3509681 DOI: 10.3390/v4113012] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
We previously developed a rapid and simple gold nanoparticle(NP)-based genomic microarray assay for identification of the avian H5N1 virus and its discrimination from other influenza A virus strains (H1N1, H3N2). In this study, we expanded the platform to detect the 2009 swine-origin influenza A virus (H1N1/2009). Multiple specific capture and intermediate oligonucleotides were designed for the matrix (M), hemagglutinin (HA), and neuraminidase (NA) genes of the H1N1/2009 virus. The H1N1/2009 microarrays were printed in the same format as those of the seasonal influenza H1N1 and H3N2 for the HA, NA, and M genes. Viral RNA was tested using capture-target-intermediate oligonucleotide hybridization and gold NP-mediated silver staining. The signal from the 4 capture-target-intermediates of the HA and NA genes was specific for H1N1/2009 virus and showed no cross hybridization with viral RNA from other influenza strains H1N1, H3N2, and H5N1. All of the 3 M gene captures showed strong affinity with H1N1/2009 viral RNA, with 2 out of the 3 M gene captures showing cross hybridization with the H1N1, H3N2, and H5N1 samples tested. The current assay was able to detect H1N1/2009 and distinguish it from other influenza A viruses. This new method may be useful for simultaneous detection and subtyping of influenza A viruses and can be rapidly modified to detect other emerging influenza strains in public health settings.
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Affiliation(s)
- Jiangqin Zhao
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Bethesda, MD 20892, USA; (X.W.); (V.R.); (P.Z.); (W.T.)
- Authors to whom correspondence should be addressed; (J.Z.); (I.H.); Tel.: +1-301-827-0795; Fax: +1-301-480-7928
| | - Xue Wang
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Bethesda, MD 20892, USA; (X.W.); (V.R.); (P.Z.); (W.T.)
| | - Viswanath Ragupathy
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Bethesda, MD 20892, USA; (X.W.); (V.R.); (P.Z.); (W.T.)
| | - Panhe Zhang
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Bethesda, MD 20892, USA; (X.W.); (V.R.); (P.Z.); (W.T.)
| | - Wei Tang
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Bethesda, MD 20892, USA; (X.W.); (V.R.); (P.Z.); (W.T.)
| | - Zhiping Ye
- Division of Viral Products, Office of Vaccines Research and Review, CBER, Food and Drug Administration, Bethesda, MD 20892, USA; (Z.Y.); (M.E.)
| | - Maryna Eichelberger
- Division of Viral Products, Office of Vaccines Research and Review, CBER, Food and Drug Administration, Bethesda, MD 20892, USA; (Z.Y.); (M.E.)
| | - Indira Hewlett
- Laboratory of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Bethesda, MD 20892, USA; (X.W.); (V.R.); (P.Z.); (W.T.)
- Authors to whom correspondence should be addressed; (J.Z.); (I.H.); Tel.: +1-301-827-0795; Fax: +1-301-480-7928
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Mahony JB, Petrich A, Smieja M. Molecular diagnosis of respiratory virus infections. Crit Rev Clin Lab Sci 2012; 48:217-49. [PMID: 22185616 DOI: 10.3109/10408363.2011.640976] [Citation(s) in RCA: 143] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The appearance of eight new respiratory viruses, including the SARS coronavirus in 2003 and swine-origin influenza A/H1N1 in 2009, in the human population in the past nine years has tested the ability of virology laboratories to develop diagnostic tests to identify these viruses. Nucleic acid based amplification tests (NATs) for respiratory viruses were first introduced two decades ago and today are utilized for the detection of both conventional and emerging viruses. These tests are more sensitive than other diagnostic approaches, including virus isolation in cell culture, shell vial culture (SVC), antigen detection by direct fluorescent antibody (DFA) staining, and rapid enzyme immunoassay (EIA), and now form the backbone of clinical virology laboratory testing around the world. NATs not only provide fast, accurate and sensitive detection of respiratory viruses in clinical specimens but also have increased our understanding of the epidemiology of both new emerging viruses such as the pandemic H1N1 influenza virus of 2009, and conventional viruses such as the common cold viruses, including rhinovirus and coronavirus. Multiplex polymerase chain reaction (PCR) assays introduced in the last five years detect up to 19 different viruses in a single test. Several multiplex PCR tests are now commercially available and tests are working their way into clinical laboratories. The final chapter in the evolution of respiratory virus diagnostics has been the addition of allelic discrimination and detection of single nucleotide polymorphisms associated with antiviral resistance. These assays are now being multiplexed with primary detection and subtyping assays, especially in the case of influenza virus. These resistance assays, together with viral load assays, will enable clinical laboratories to provide physicians with new and important information for optimal treatment of respiratory virus infections.
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Affiliation(s)
- James B Mahony
- M.G. DeGroote Institute for Infectious Disease Research, St. Joseph’s Healthcare, Hamilton, Canada.
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Pabbaraju K, Wong S, Drews SJ. Rethinking approaches to improve the utilization of nucleic acid amplification tests for detection and characterization of influenza A in diagnostic and reference laboratories. Future Microbiol 2011; 6:1443-60. [PMID: 22122441 DOI: 10.2217/fmb.11.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Influenza A virus (IFVA) is a significant cause of respiratory infections worldwide and was also responsible for a recent pandemic in 2009. Laboratory identification of IFVA can guide antiviral therapy, assist in cohorting of patients and prevent antibiotic use. Characterization of the virus can track the emergence of novel strains, identify resistance and determine how circulating strains match with vaccine components. The gold standard for detection and characterization of IFVA is nucleic acid amplification technology (e.g., reverse transcriptase PCR [RT-PCR]), which must contend with a constantly evolving viral genome. Although molecular technology has been available for over two decades, there is still an operational gap between assay design and utilization of these tests for the diagnosis and characterization of IFVA. This review will discuss issues surrounding the implementation and use of RT-PCR for the identification and characterization of IFVA, and speculate on why RT-PCR has not been used more widely in clinical laboratories or moved closer to the patient. Newer, less widely used technologies that may change our laboratory practices will be identified and the authors will close with an attempt to identify some future applications of RT-PCR-based technologies for the detection and characterization of IFVA.
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Affiliation(s)
- Kanti Pabbaraju
- Provincial Laboratory for Public Health, Microbiology, 3030 Hospital Drive NW, Calgary, Alberta T2N 4W4, Canada
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Wu D, Li G, Qin C, Ren X. Phage displayed peptides to avian H5N1 virus distinguished the virus from other viruses. PLoS One 2011; 6:e23058. [PMID: 21887228 PMCID: PMC3161733 DOI: 10.1371/journal.pone.0023058] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2010] [Accepted: 07/12/2011] [Indexed: 01/10/2023] Open
Abstract
The purpose of the current study was to identify potential ligands and develop a novel diagnostic test to highly pathogenic avian influenza A virus (HPAI), subtype H5N1 viruses using phage display technology. The H5N1 viruses were used as an immobilized target in a biopanning process using a 12-mer phage display random peptide library. After five rounds of panning, three phages expressing peptides HAWDPIPARDPF, AAWHLIVALAPN or ATSHLHVRLPSK had a specific binding activity to H5N1 viruses were isolated. Putative binding motifs to H5N1 viruses were identified by DNA sequencing. In terms of the minimum quantity of viruses, the phage-based ELISA was better than antiserum-based ELISA and a manual, semi-quantitative endpoint RT-PCR for detecting H5N1 viruses. More importantly, the selected phages bearing the specific peptides to H5N1 viruses were capable of differentiating this virus from other avian viruses in enzyme-linked immunosorbent assays.
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Affiliation(s)
- Dan Wu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Guangxing Li
- Department of Basic Veterinary Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Chengfeng Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Xiaofeng Ren
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- * E-mail:
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