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Kamel M, Davidson JL, Verma MS. A Paper-based Loop-Mediated Isothermal Amplification (LAMP) Assay for Highly Pathogenic Avian Influenza. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.12.607641. [PMID: 39211221 PMCID: PMC11361134 DOI: 10.1101/2024.08.12.607641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Avian influenza outbreaks have had significant economic and public health consequences worldwide. Therefore, prompt, reliable, and cost-effective diagnostic devices are crucial for scrutinizing and confining highly pathogenic avian influenza viruses (HPAIVs). Our study introduced and evaluated a novel paper-based loop-mediated isothermal amplification (LAMP) test for diagnosing the H5 subtype of the avian influenza virus (AIV). We meticulously designed and screened LAMP primers targeting the H5-haemagglutinin (H5-HA) gene of AIV and fine-tuned the paper-based detection assay for best performance. The paper-based LAMP assay demonstrated a detection limit of 500 copies per reaction (25 copies/µL). This inexpensive, user-friendly point-of-need diagnostic tool holds great promise, especially in resource-limited settings. It only requires a water bath for incubation and enables visual detection of results without special equipment. Overall, the paper-based LAMP assay provides a promising method for rapidly and reliably detecting the H5 subtype of AIV, contributing to improved surveillance and early intervention strategies.
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Lai CC, Hsueh PR. Human infection caused by avian influenza A (H10N5) virus. JOURNAL OF MICROBIOLOGY, IMMUNOLOGY, AND INFECTION = WEI MIAN YU GAN RAN ZA ZHI 2024; 57:343-345. [PMID: 38704275 DOI: 10.1016/j.jmii.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 04/16/2024] [Indexed: 05/06/2024]
Affiliation(s)
- Chih-Cheng Lai
- Department of Intensive Care Medicine, Chi Mei Medical Center, Tainan, Taiwan; School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Po-Ren Hsueh
- Division of Infectious Diseases, Department of Internal Medicine, China Medical University Hospital, School of Medicine, China Medical University, Taichung, Taiwan; Department of Laboratory Medicine, China Medical University Hospital, School of Medicine, China Medical University, Taichung, Taiwan.
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Zhdanov G, Gambaryan A, Akhmetova A, Yaminsky I, Kukushkin V, Zavyalova E. Nanoisland SERS-Substrates for Specific Detection and Quantification of Influenza A Virus. BIOSENSORS 2023; 14:20. [PMID: 38248397 PMCID: PMC10813417 DOI: 10.3390/bios14010020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 12/26/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024]
Abstract
Surface-enhanced Raman spectroscopy (SERS)-based aptasensors for virus determination have attracted a lot of interest recently. This approach provides both specificity due to an aptamer component and a low limit of detection due to signal enhancement by a SERS substrate. The most successful SERS-based aptasensors have a limit of detection (LoD) of 10-100 viral particles per mL (VP/mL) that is advantageous compared to polymerase chain reactions. These characteristics of the sensors require the use of complex substrates. Previously, we described silver nanoisland SERS-substrate with a reproducible and uniform surface, demonstrating high potency for industrial production and a suboptimal LoD of 4 × 105 VP/mL of influenza A virus. Here we describe a study of the sensor morphology, revealing an unexpected mechanism of signal enhancement through the distortion of the nanoisland layer. A novel modification of the aptasensor was proposed with chromium-enhanced adhesion of silver nanoparticles to the surface as well as elimination of the buffer-dependent distortion-triggering steps. As a result, the LoD of the Influenza A virus was decreased to 190 VP/mL, placing the nanoisland SERS-based aptasensors in the rank of the most powerful sensors for viral detection.
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Affiliation(s)
- Gleb Zhdanov
- Chemistry Department, Lomonosov Moscow State University, 119991 Moscow, Russia; (G.Z.); (E.Z.)
- Moscow Institute of Physics and Technology, Institute of Quantum Technologies, 141700 Dolgoprudny, Russia
| | - Alexandra Gambaryan
- Chumakov Federal Scientific Centre for Research and Development of Immune and Biological Products RAS, 108819 Moscow, Russia
| | - Assel Akhmetova
- Physics Department, Lomonosov Moscow State University, 119991 Moscow, Russia; (A.A.); (I.Y.)
| | - Igor Yaminsky
- Physics Department, Lomonosov Moscow State University, 119991 Moscow, Russia; (A.A.); (I.Y.)
| | - Vladimir Kukushkin
- Osipyan Institute of Solid State Physics of the Russian Academy of Science, 142432 Chernogolovka, Russia;
| | - Elena Zavyalova
- Chemistry Department, Lomonosov Moscow State University, 119991 Moscow, Russia; (G.Z.); (E.Z.)
- Moscow Institute of Physics and Technology, Institute of Quantum Technologies, 141700 Dolgoprudny, Russia
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4
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Seok Y, Mauk MG, Li R, Qian C. Trends of respiratory virus detection in point-of-care testing: A review. Anal Chim Acta 2023; 1264:341283. [PMID: 37230728 DOI: 10.1016/j.aca.2023.341283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/27/2023]
Abstract
In resource-limited conditions such as the COVID-19 pandemic, on-site detection of diseases using the Point-of-care testing (POCT) technique is becoming a key factor in overcoming crises and saving lives. For practical POCT in the field, affordable, sensitive, and rapid medical testing should be performed on simple and portable platforms, instead of laboratory facilities. In this review, we introduce recent approaches to the detection of respiratory virus targets, analysis trends, and prospects. Respiratory viruses occur everywhere and are one of the most common and widely spreading infectious diseases in the human global society. Seasonal influenza, avian influenza, coronavirus, and COVID-19 are examples of such diseases. On-site detection and POCT for respiratory viruses are state-of-the-art technologies in this field and are commercially valuable global healthcare topics. Cutting-edge POCT techniques have focused on the detection of respiratory viruses for early diagnosis, prevention, and monitoring to protect against the spread of COVID-19. In particular, we highlight the application of sensing techniques to each platform to reveal the challenges of the development stage. Recent POCT approaches have been summarized in terms of principle, sensitivity, analysis time, and convenience for field applications. Based on the analysis of current states, we also suggest the remaining challenges and prospects for the use of the POCT technique for respiratory virus detection to improve our protection ability and prevent the next pandemic.
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Affiliation(s)
- Youngung Seok
- Department of Biotechnology and Bioengineering, Chonnam National University, Gwangju, 61186, Republic of Korea; Department of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, 216 Towne Building, 220 S. 33rd Street, Philadelphia, PA, 19104, USA.
| | - Michael G Mauk
- Department of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, 216 Towne Building, 220 S. 33rd Street, Philadelphia, PA, 19104, USA
| | - Ruijie Li
- Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, 29 Zhongguancun East Road, Haidian District, Beijing, 100190, China
| | - Cheng Qian
- Key Laboratory for Food Microbial Technology of Zhejiang Province, College of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang, 310018, China
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5
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Kukushkin V, Ambartsumyan O, Subekin A, Astrakhantseva A, Gushchin V, Nikonova A, Dorofeeva A, Zverev V, Keshek A, Meshcheryakova N, Zaborova O, Gambaryan A, Zavyalova E. Multiplex Lithographic SERS Aptasensor for Detection of Several Respiratory Viruses in One Pot. Int J Mol Sci 2023; 24:ijms24098081. [PMID: 37175786 PMCID: PMC10178974 DOI: 10.3390/ijms24098081] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/15/2023] Open
Abstract
Rapid and reliable techniques for virus identification are required in light of recurring epidemics and pandemics throughout the world. Several techniques have been distributed for testing the flow of patients. Polymerase chain reaction with reverse transcription is a reliable and sensitive, though not rapid, tool. The antibody-based strip is a rapid, though not reliable, and sensitive tool. A set of alternative tools is being developed to meet all the needs of the customer. Surface-enhanced Raman spectroscopy (SERS) provides the possibility of single molecule detection taking several minutes. Here, a multiplex lithographic SERS aptasensor was developed aiming at the detection of several respiratory viruses in one pot within 17 min. The four labeled aptamers were anchored onto the metal surface of four SERS zones; the caught viruses affect the SERS signals of the labels, providing changes in the analytical signals. The sensor was able to decode mixes of SARS-CoV-2 (severe acute respiratory syndrome coronavirus two), influenza A virus, respiratory syncytial virus, and adenovirus within a single experiment through a one-stage recognition process.
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Affiliation(s)
- Vladimir Kukushkin
- Osipyan Institute of Solid State Physics, Russian Academy of Science, 142432 Chernogolovka, Russia
| | | | - Alexei Subekin
- Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
| | - Anna Astrakhantseva
- Osipyan Institute of Solid State Physics, Russian Academy of Science, 142432 Chernogolovka, Russia
- Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
| | - Vladimir Gushchin
- N. F. Gamaleya Federal Research Center for Epidemiology & Microbiology, 123098 Moscow, Russia
| | - Alexandra Nikonova
- Mechnikov Research Institute of Vaccines and Sera, 105064 Moscow, Russia
| | | | - Vitaly Zverev
- Mechnikov Research Institute of Vaccines and Sera, 105064 Moscow, Russia
| | - Anna Keshek
- Chemistry Department of Lomonosov, Moscow State University, 119991 Moscow, Russia
| | | | - Olga Zaborova
- Chemistry Department of Lomonosov, Moscow State University, 119991 Moscow, Russia
| | - Alexandra Gambaryan
- Chumakov Federal Scientific Center for Research, Development of Immune and Biological Products RAS, 108819 Moscow, Russia
| | - Elena Zavyalova
- Chemistry Department of Lomonosov, Moscow State University, 119991 Moscow, Russia
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Nazir S, Kim KH, Kim L, Seo SE, Bae PK, An JE, Kwon OS. Discrimination of the H1N1 and H5N2 Variants of Influenza A Virus Using an Isomeric Sialic Acid-Conjugated Graphene Field-Effect Transistor. Anal Chem 2023; 95:5532-5541. [PMID: 36947869 DOI: 10.1021/acs.analchem.2c04273] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
There has been a continuous effort to fabricate a fast, sensitive, and inexpensive system for influenza virus detection to meet the demand for effective screening in point-of-care testing. Herein, we report a sialic acid (SA)-conjugated graphene field-effect transistor (SA-GFET) sensor designed using α2,3-linked sialic acid (3'-SA) and α2,6-linked sialic acid (6'-SA) for the detection and discrimination of the hemagglutinin (HA) protein of the H5N2 and H1N1 viruses. 3'-SA and 6'-SA specific for H5 and H1 influenza were used in the SA-GFET to capture the HA protein of the influenza virus. The net charge of the captured viral sample led to a change in the electrical current of the SA-GFET platform, which could be correlated to the concentration of the viral sample. This SA-GFET platform exhibited a highly sensitive response in the range of 101-106 pfu mL-1, with a limit of detection (LOD) of 101 pfu mL-1 in buffer solution and a response time of approximately 10 s. The selectivity of the SA-GFET platform for the H1N1 and H5N2 influenza viruses was verified by testing analogous respiratory viruses, i.e., influenza B and the spike protein of SARS-CoV-2 and MERS-CoV, on the SA-GFET. Overall, the results demonstrate that the developed dual-channel SA-GFET platform can potentially serve as a highly efficient and sensitive sensing platform for the rapid detection of infectious diseases.
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Affiliation(s)
- Sophia Nazir
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Biotechnology, University of Science and Technology (UST), 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Kyung Ho Kim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Lina Kim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Sung Eun Seo
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Pan Kee Bae
- BioNano Health Guard Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Jai Eun An
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Oh Seok Kwon
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Nano Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Biotechnology, University of Science and Technology (UST), 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
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7
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Kukushkin V, Kristavchuk O, Andreev E, Meshcheryakova N, Zaborova O, Gambaryan A, Nechaev A, Zavyalova E. Aptamer-coated track-etched membranes with a nanostructured silver layer for single virus detection in biological fluids. Front Bioeng Biotechnol 2023; 10:1076749. [PMID: 36704305 PMCID: PMC9871243 DOI: 10.3389/fbioe.2022.1076749] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 12/28/2022] [Indexed: 01/11/2023] Open
Abstract
Aptasensors based on surface-enhanced Raman spectroscopy (SERS) are of high interest due to the superior specificity and low limit of detection. It is possible to produce stable and cheap SERS-active substrates and portable equipment meeting the requirements of point-of-care devices. Here we combine the membrane filtration and SERS-active substrate in the one pot. This approach allows efficient adsorption of the viruses from the solution onto aptamer-covered silver nanoparticles. Specific determination of the viruses was provided by the aptamer to influenza A virus labeled with the Raman-active label. The SERS-signal from the label was decreased with a descending concentration of the target virus. Even several virus particles in the sample provided an increase in SERS-spectra intensity, requiring only a few minutes for the interaction between the aptamer and the virus. The limit of detection of the aptasensor was as low as 10 viral particles per mL (VP/mL) of influenza A virus or 2 VP/mL per probe. This value overcomes the limit of detection of PCR techniques (∼103 VP/mL). The proposed biosensor is very convenient for point-of-care applications.
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Affiliation(s)
| | | | | | | | | | - Alexandra Gambaryan
- Chumakov Federal Scientific Centre for Research and Development of Immune and Biological Products RAS, Moscow, Russia
| | | | - Elena Zavyalova
- Lomonosov Moscow State University, Moscow, Russia,*Correspondence: Elena Zavyalova,
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Golabi M, Flodrops M, Grasland B, Vinayaka AC, Quyen TL, Nguyen T, Bang DD, Wolff A. Development of Reverse Transcription Loop-Mediated Isothermal Amplification Assay for Rapid and On-Site Detection of Avian Influenza Virus. Front Cell Infect Microbiol 2021; 11:652048. [PMID: 33954120 PMCID: PMC8092359 DOI: 10.3389/fcimb.2021.652048] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 03/22/2021] [Indexed: 12/03/2022] Open
Abstract
Avian influenza virus (AIV) outbreaks occur frequently worldwide, causing a potential public health risk and great economic losses to poultry industries. Considering the high mutation rate and frequent genetic reassortment between segments in the genome of AIVs, emerging new strains are a real threat that may infect and spread through the human population, causing a pandemic. Therefore, rapid AIV diagnostic tests are essential tools for surveillance and assessing virus spreading. Real-time reverse transcription PCR (rRT-PCR), targeting the matrix gene, is the main official standard test for AIV detection, but the method requires well-equipped laboratories. Reverse transcription Loop-Mediated Isothermal Amplification (RT-LAMP) has been reported as a rapid method and an alternative to PCR in pathogen detection. The high mutation rate in the AIV genome increases the risk of false negative in nucleic acid amplification methods for detection, such as PCR and LAMP, due to possible mismatched priming. In this study, we analyzed 800 matrix gene sequences of newly isolated AIV in the EU and designed a highly efficient LAMP primer set that covers all AIV subtypes. The designed LAMP primer set was optimized in real-time RT-LAMP (rRT-LAMP) assay. The rRT-LAMP assay detected AIV samples belonging to nine various subtypes with the specificity and sensitivity comparable to the official standard rRT-PCR assay. Further, a two-color visual detection RT-LAMP assay protocol was adapted with the aim to develop on-site diagnostic tests. The on-site testing successfully detected spiked AIV in birds oropharyngeal and cloacal swabs samples at a concentration as low as 100.8 EID50 per reaction within 30 minutes including sample preparation. The results revealed a potential of this newly developed rRT-LAMP assay to detect AIV in complex samples using a simple heat treatment step without the need for RNA extraction.
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Affiliation(s)
- Mohsen Golabi
- Laboratory of Applied Micro and Nanotechnology (LAMINATE), Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | - Marion Flodrops
- Laboratory of Ploufragan-Plouzané-Niort, Unit of Avian and Rabbit Virology, Immunology and Parasitology, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), Ploufragan, France
| | - Beatrice Grasland
- Laboratory of Ploufragan-Plouzané-Niort, Unit of Avian and Rabbit Virology, Immunology and Parasitology, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), Ploufragan, France
| | - Aaydha C Vinayaka
- Laboratory of Applied Micro and Nanotechnology (LAMINATE), Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | - Than Linh Quyen
- BioLabChip Group, Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Trieu Nguyen
- BioLabChip Group, Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Dang Duong Bang
- Laboratory of Ploufragan-Plouzané-Niort, Unit of Avian and Rabbit Virology, Immunology and Parasitology, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), Ploufragan, France
| | - Anders Wolff
- BioLabChip Group, Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
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Wang B, Li B, Huang H, Yang S, Jian D, Liu J, Yan K, Shan Y, Wang S, Liu F. Sensitive antibody fluorescence immunosorbent assay (SAFIA) for rapid on-site detection on avian influenza virus H9N2 antibody. Anal Chim Acta 2021; 1164:338524. [PMID: 33992218 DOI: 10.1016/j.aca.2021.338524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 04/11/2021] [Accepted: 04/13/2021] [Indexed: 12/12/2022]
Abstract
Avian influenza virus (AIV) is a serious zoonotic disease causing severe damages to both poultry industry and human health. To rapidly detect AIV on-site with high sensitivity and accuracy, we design sensitive antibody fluorescence immunosorbent assay (SAFIA) on AIV H9N2 antibody. In SAFIA, hemagglutinin (HA1) protein coated sample chamber specifically binds targets but remarkably reduces non-specific absorption; Protein L coated polystyrene microsphere captures target through secondary antibody to significantly amplify the fluorescence signal; and a portable fluorescence counter automatically measures the fluorescence spot density for AIV H9N2 antibody detection. Proved by practical applications, SAFIA could probe AIV H9N2 antibody in high sensitivity and selectivity, and distinguish positive and negative serum samples in high accuracy. Additionally, SAFIA can rapidly detect AIV H9N2 antibody at room temperature only requiring simple operations as well as cost-effective and compact devices. Therefore, SAFIA is a potential new-generation tool in rapid on-site testing for agricultures.
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Affiliation(s)
- Bin Wang
- Joint International Research Laboratory of Animal Health and Food Safety of Ministry of Education & Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China
| | - Baojie Li
- Joint International Research Laboratory of Animal Health and Food Safety of Ministry of Education & Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China
| | - Huachuan Huang
- School of Manufacture Science and Engineering, Key Laboratory of Testing Technology for Manufacturing Process, Ministry of Education, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China
| | - Shuwei Yang
- Advanced Institute of Micro-Nano Intelligent Sensing (AIMNIS), School of Electronic Information Engineering, Xi'an Technological University, Xi'an, Shaanxi, 710032, China
| | - Dan Jian
- Joint International Research Laboratory of Animal Health and Food Safety of Ministry of Education & Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China; Computational Optics Laboratory, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Jing Liu
- Joint International Research Laboratory of Animal Health and Food Safety of Ministry of Education & Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China
| | - Keding Yan
- Advanced Institute of Micro-Nano Intelligent Sensing (AIMNIS), School of Electronic Information Engineering, Xi'an Technological University, Xi'an, Shaanxi, 710032, China
| | - Yanke Shan
- Joint International Research Laboratory of Animal Health and Food Safety of Ministry of Education & Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
| | - Shouyu Wang
- Joint International Research Laboratory of Animal Health and Food Safety of Ministry of Education & Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China; Computational Optics Laboratory, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Fei Liu
- Joint International Research Laboratory of Animal Health and Food Safety of Ministry of Education & Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China
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Bakre AA, Jones LP, Bennett HK, Bobbitt DE, Tripp RA. Detection of swine influenza virus in nasal specimens by reverse transcription-loop-mediated isothermal amplification (RT-LAMP). J Virol Methods 2021; 288:114015. [PMID: 33271254 PMCID: PMC7799534 DOI: 10.1016/j.jviromet.2020.114015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 11/11/2020] [Accepted: 11/12/2020] [Indexed: 12/31/2022]
Abstract
Detection of swine influenza virus (SIV) in commercial swine herds is important for understanding the infection status of the herd and for controlling disease. Current molecular diagnostics require that specimens be submitted to a laboratory which provides results to the growers after some time which is generally too late to intercede in disease control. Moreover, current diagnostic assays are time-consuming, typically costly, and require skilled technical expertise. We have instituted a reverse transcription loop-mediated isothermal amplification (RT-LAMP) diagnostic assay based on conserved regions of the SIV matrix (M) gene and H1N1 hemagglutinin (HA) sequences. The RT-LAMP assay was optimized to use both colorimetric and fluorescent endpoints and was validated. The M and HA RT-LAMP assays have a limit-of-detection (LOD) sensitive to 11 and 8-log-fold dilutions of viral RNA, respectively, and are capable of discriminating between H1 and H3 strains of SIV. Additionally, the RT-LAMP assay was optimized for direct amplification of SIV from field samples without the need for viral RNA isolation. The direct RT-LAMP detected >86 % of qRT-PCR validated SIV samples, and >66 % of negative samples when spiked with viral RNA or SIV. The diagnostic RT-LAMP assay is a rapid, sensitive, specific, and cost-effective method for the detection of SIV in herds substantially aiding diagnosis and surveillance.
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Affiliation(s)
- Abhijeet A Bakre
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States
| | - Les P Jones
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States
| | - Hailey K Bennett
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States
| | - Davis E Bobbitt
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States
| | - Ralph A Tripp
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States.
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11
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Ahn SJ, Baek YH, Lloren KKS, Choi WS, Jeong JH, Antigua KJC, Kwon HI, Park SJ, Kim EH, Kim YI, Si YJ, Hong SB, Shin KS, Chun S, Choi YK, Song MS. Rapid and simple colorimetric detection of multiple influenza viruses infecting humans using a reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) diagnostic platform. BMC Infect Dis 2019; 19:676. [PMID: 31370782 PMCID: PMC6669974 DOI: 10.1186/s12879-019-4277-8] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 07/11/2019] [Indexed: 01/15/2023] Open
Abstract
Background In addition to seasonal influenza viruses recently circulating in humans, avian influenza viruses (AIVs) of H5N1, H5N6 and H7N9 subtypes have also emerged and demonstrated human infection abilities with high mortality rates. Although influenza viral infections are usually diagnosed using viral isolation and serological/molecular analyses, the cost, accessibility, and availability of these methods may limit their utility in various settings. The objective of this study was to develop and optimized a multiplex detection system for most influenza viruses currently infecting humans. Methods We developed and optimized a multiplex detection system for most influenza viruses currently infecting humans including two type B (both Victoria lineages and Yamagata lineages), H1N1, H3N2, H5N1, H5N6, and H7N9 using Reverse Transcriptional Loop-mediated Isothermal Amplification (RT-LAMP) technology coupled with a one-pot colorimetric visualization system to facilitate direct determination of results without additional steps. We also evaluated this multiplex RT-LAMP for clinical use using a total of 135 clinical and spiked samples (91 influenza viruses and 44 other human infectious viruses). Results We achieved rapid detection of seasonal influenza viruses (H1N1, H3N2, and Type B) and avian influenza viruses (H5N1, H5N6, H5N8 and H7N9) within an hour. The assay could detect influenza viruses with high sensitivity (i.e., from 100 to 0.1 viral genome copies), comparable to conventional RT-PCR-based approaches which would typically take several hours and require expensive equipment. This assay was capable of specifically detecting each influenza virus (Type B, H1N1, H3N2, H5N1, H5N6, H5N8 and H7N9) without cross-reactivity with other subtypes of AIVs or other human infectious viruses. Furthermore, 91 clinical and spiked samples confirmed by qRT-PCR were also detected by this multiplex RT-LAMP with 98.9% agreement. It was more sensitive than one-step RT-PCR approach (92.3%). Conclusions Results of this study suggest that our multiplex RT-LAMP assay may provide a rapid, sensitive, cost-effective, and reliable diagnostic method for identifying recent influenza viruses infecting humans, especially in locations without access to large platforms or sophisticated equipment. Electronic supplementary material The online version of this article (10.1186/s12879-019-4277-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Su Jeong Ahn
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Yun Hee Baek
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Khristine Kaith S Lloren
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Won-Suk Choi
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Ju Hwan Jeong
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Khristine Joy C Antigua
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Hyeok-Il Kwon
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Su-Jin Park
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Eun-Ha Kim
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Young-Il Kim
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Young-Jae Si
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea
| | - Seung Bok Hong
- Department of Clinical Laboratory Science, Chungbuk Health and Science University, Cheongju, Republic of Korea
| | - Kyeong Seob Shin
- Departments of Laboratory Medicine, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | - Sungkun Chun
- Department of Physiology, Chonbuk National University Medical School, Jeonju, 54907, Republic of Korea
| | - Young Ki Choi
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
| | - Min-Suk Song
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
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Development of a TaqMan MGB RT-PCR assay for the detection of type A and subtype H10 avian influenza viruses. Arch Virol 2018; 163:2497-2501. [PMID: 29796926 DOI: 10.1007/s00705-018-3889-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Accepted: 05/18/2018] [Indexed: 12/11/2022]
Abstract
H10 subtype avian influenza viruses have caused several epidemics in poultry and mammals, and specific, rapid and sensitive methods for detection are urgently needed. Herein, TaqMan minor groove binder (MGB) probes and multiplex real-time RT-PCR primers were designed based on gene regions encoding conserved domains of the nucleoprotein and H10 hemagglutinin. The developed multiplex real-time RT-PCR assay displayed high specificity, repeatability, and a detection limit of 10 copies per reaction. This diagnostic method could prove valuable for the rapid detection of H10 subtype AIVs in China.
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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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Okamatsu M, Hiono T, Kida H, Sakoda Y. Recent developments in the diagnosis of avian influenza. Vet J 2016; 215:82-6. [DOI: 10.1016/j.tvjl.2016.05.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2015] [Revised: 04/25/2016] [Accepted: 05/12/2016] [Indexed: 01/27/2023]
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