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Liu S, Wang W, Jia T, Xin L, Xu TT, Wang C, Xie G, Luo K, Li J, Kong J, Zhang Q. Vibrio parahaemolyticus becomes lethal to post-larvae shrimp via acquiring novel virulence factors. Microbiol Spectr 2023; 11:e0049223. [PMID: 37850796 PMCID: PMC10714935 DOI: 10.1128/spectrum.00492-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 09/05/2023] [Indexed: 10/19/2023] Open
Abstract
IMPORTANCE As a severe emerging shrimp disease, TPD has heavily impacted the shrimp aquaculture industry and resulted in serious economic losses in China since spring 2020. This study aimed to identify the key virulent factors and related genes of the Vp TPD, for a better understanding of its pathogenicity of the novel highly lethal infectious pathogen, as well as its molecular epidemiological characteristics in China. The present study revealed that a novel protein, Vibrio high virulent protein-2 (MW >100 kDa), is responsible to the lethal virulence of V. parahaemolyticus to shrimp post-larvae. The results are essential for effectively diagnosing and monitoring novel pathogenic bacteria, like Vp TPD, in aquaculture shrimps and would be beneficial to the fisheries department in early warning of Vp TPD emergence and developing prevention strategies to reduce economic losses due to severe outbreaks of TPD. Elucidation of the key virulence genes and genomics of Vp TPD could also provide valuable information on the evolution and ecology of this emerging pathogen in aquaculture environments.
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Affiliation(s)
- Shuang Liu
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
- Key Laboratory of Marine Aquaculture Disease Control, Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
| | - Wei Wang
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
| | - Tianchang Jia
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
| | - Lusheng Xin
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
- Key Laboratory of Marine Aquaculture Disease Control, Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
| | - Ting-ting Xu
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
- Key Laboratory of Marine Aquaculture Disease Control, Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
| | - Chong Wang
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
| | - Guosi Xie
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
- Key Laboratory of Marine Aquaculture Disease Control, Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
| | - Kun Luo
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
| | - Jun Li
- School of Sciences and Medicine, Lake Superior State University, Sault Ste. Marie, Michigan, USA
| | - Jie Kong
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
- Key Laboratory of Marine Aquaculture Disease Control, Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
| | - Qingli Zhang
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong, China
- Key Laboratory of Marine Aquaculture Disease Control, Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, China
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2
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Zhang H, Yang Y, Jiang Y, Zhang M, Xu Z, Wang X, Jiang J. Mass Spectrometry Analysis for Clinical Applications: A Review. Crit Rev Anal Chem 2023:1-20. [PMID: 37910438 DOI: 10.1080/10408347.2023.2274039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
Mass spectrometry (MS) has become an attractive analytical method in clinical analysis due to its comprehensive advantages of high sensitivity, high specificity and high throughput. Separation techniques coupled MS detection (e.g., LC-MS/MS) have shown unique advantages over immunoassay and have developed as golden criterion for many clinical applications. This review summarizes the characteristics and applications of MS, and emphasizes the high efficiency of MS in clinical research. In addition, this review also put forward further prospects for the future of mass spectrometry technology, including the introduction of miniature MS instruments, point-of-care detection and high-throughput analysis, to achieve better development of MS technology in various fields of clinical application. Moreover, as ambient ionization mass spectrometry (AIMS) requires little or no sample pretreatment and improves the flux of MS, this review also summarizes its potential applications in clinic.
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Affiliation(s)
- Hong Zhang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
| | - Yali Yang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
| | - Yanxiao Jiang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
| | - Meng Zhang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
| | - Zhilong Xu
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
| | - Xiaofei Wang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
| | - Jie Jiang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
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3
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Zhao Z, Sun L, Wang L, Li X, Peng J. A Multiplex Method for Detection of SARS-CoV-2 Variants Based on MALDI-TOF Mass Spectrometry. BIOSAFETY AND HEALTH 2023; 5:101-107. [PMID: 37123451 PMCID: PMC9977071 DOI: 10.1016/j.bsheal.2023.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/08/2023] [Accepted: 02/26/2023] [Indexed: 03/05/2023] Open
Abstract
The recent outbreak of the coronavirus disease 2019 (COVID-19) pandemic and the continuous evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have highlighted the significance of new detection methods for global monitoring and prevention. Although quantitative reverse transcription PCR (RT-qPCR), the current gold standard for diagnosis, performs excellently in genetic testing, its multiplexing capability is limited because of the signal crosstalk of various fluorophores. Herein, we present a highly efficient platform which combines 17-plex assays with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), enabling the targeting of 14 different mutation sites of the spike gene. Diagnosis using a set of 324 nasopharyngeal swab or sputum clinical samples with SARS-CoV-2 MS method was identical to that with the RT-qPCR. The detection consistency of mutation sites was 97.9% (47/48) compared to Sanger sequencing without cross-reaction with other respiratory-related pathogens. Therefore, the MS method is highly potent to track and assess SARS-CoV-2 changes in a timely manner, thereby aiding continuous response to viral variation and prevention of further transmission.
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Affiliation(s)
- Ziyuan Zhao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Liying Sun
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Liqin Wang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Xiaodong Li
- Shimadzu China Innovation Center, Shimadzu Corporation, Beijing 100020, China
| | - Junping Peng
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
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4
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Wong TF, So PK, Yao ZP. Advances in rapid detection of SARS-CoV-2 by mass spectrometry. Trends Analyt Chem 2022; 157:116759. [PMID: 36035092 PMCID: PMC9391230 DOI: 10.1016/j.trac.2022.116759] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 08/01/2022] [Accepted: 08/14/2022] [Indexed: 12/25/2022]
Abstract
COVID-19 has already been lasting for more than two years and it has been severely affecting the whole world. Still, detection of SARS-CoV-2 remains the frontline approach to combat the pandemic, and the reverse transcription polymerase chain reaction (RT-PCR)-based method is the well recognized detection method for the enormous analytical demands. However, the RT-PCR method typically takes a relatively long time, and can produce false positive and false negative results. Mass spectrometry (MS) is a very commonly used technique with extraordinary sensitivity, specificity and speed, and can produce qualitative and quantitative information of various analytes, which cannot be achieved by RT-PCR. Since the pandemic outbreak, various mass spectrometric approaches have been developed for rapid detection of SARS-CoV-2, including the LC-MS/MS approaches that could allow analysis of several hundred clinical samples per day with one MS system, MALDI-MS approaches that could directly analyze clinical samples for the detection, and efforts for the on-site detection with portable devices. In this review, these mass spectrometric approaches were summarized, and their pros and cons as well as further development were also discussed.
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Affiliation(s)
- Tsz-Fung Wong
- State Key Laboratory of Chemical Biology and Drug Discovery and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.,Research Institute for Future Food and Research Center for Chinese Medicine Innovation, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.,State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation) and Shenzhen Key Laboratory of Food Biological Safety Control, Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, 518057, China
| | - Pui-Kin So
- State Key Laboratory of Chemical Biology and Drug Discovery and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.,Research Institute for Future Food and Research Center for Chinese Medicine Innovation, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.,State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation) and Shenzhen Key Laboratory of Food Biological Safety Control, Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, 518057, China
| | - Zhong-Ping Yao
- State Key Laboratory of Chemical Biology and Drug Discovery and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.,Research Institute for Future Food and Research Center for Chinese Medicine Innovation, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.,State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation) and Shenzhen Key Laboratory of Food Biological Safety Control, Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, 518057, China
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5
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Elbehiry A, Aldubaib M, Abalkhail A, Marzouk E, ALbeloushi A, Moussa I, Ibrahem M, Albazie H, Alqarni A, Anagreyyah S, Alghamdi S, Rawway M. How MALDI-TOF Mass Spectrometry Technology Contributes to Microbial Infection Control in Healthcare Settings. Vaccines (Basel) 2022; 10:1881. [PMID: 36366389 PMCID: PMC9699604 DOI: 10.3390/vaccines10111881] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 08/01/2023] Open
Abstract
Healthcare settings have been utilizing matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) since 2010. MALDI-TOF MS has various benefits over the conventional method of biochemical identification, including ease of use, speed, accuracy, and low cost. This approach can solve many of the obstacles to identifying bacteria, fungi and viruses. As technology advanced, more and more databases kept track of spectra, allowing species with similar morphological, genotypic, and biochemical traits to be identified. Using MALDI-TOF MS for identification has become more accurate and quicker due to advances in sample preparation and database enrichment. Rapid sample detection and colony identification using MALDI-TOF MS have produced promising results. A key application of MALDI-TOF MS is quickly identifying highly virulent and drug-resistant diseases. Here, we present a review of the scientific literature assessing the effectiveness of MALDI-TOF MS for locating clinically relevant pathogenic bacteria, fungi, and viruses. MALDI-TOF MS is a useful strategy for locating clinical pathogens, however, it also has some drawbacks. A small number of spectra in the database and inherent similarities among organisms can make it difficult to distinguish between different species, which can result in misidentifications. The majority of the time additional testing may correct these problems, which happen very seldom. In conclusion, infectious illness diagnosis and clinical care are being revolutionized by the use of MALDI-TOF MS in the clinical microbiology laboratory.
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Affiliation(s)
- Ayman Elbehiry
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia
- Department of Bacteriology, Mycology and Immunology, Faculty of Veterinary Medicine, University of Sadat City, Sadat City 32511, Egypt
| | - Musaad Aldubaib
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 52571, Saudi Arabia
| | - Adil Abalkhail
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia
| | - Eman Marzouk
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia
| | - Ahmad ALbeloushi
- Al Bukayriyah General Hospital, Qassim, Al Bukayriyah 52725, Saudi Arabia
| | - Ihab Moussa
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Mai Ibrahem
- Department of Public Health, College of Applied Medical Science, King Khalid University, Abha 61421, Saudi Arabia
- Department of Aquatic Animal Medicine and Management, Faculty of Veterinary Medicine, Cairo University, Cairo 12211, Egypt
| | - Hamad Albazie
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia
| | - Abdullah Alqarni
- Department of Support Service, King Fahad Armed Hospital, Jeddah 23311, Saudi Arabia
| | - Sulaiman Anagreyyah
- Department of Preventive Medicine, King Fahad Armed Hospital, Jeddah 23311, Saudi Arabia
| | - Saleh Alghamdi
- Department of Biomedical Engineering, King Fahad Armed Hospital, Jeddah 23311, Saudi Arabia
| | - Mohammed Rawway
- Biology Department, College of Science, Jouf University, Sakaka 42421, Saudi Arabia
- Botany and Microbiology Department, Faculty of Science, AL-Azhar University, Assiut 71524, Egypt
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6
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Sharov TN, Budchenko AA, Viktorov DV, Toporkov AV. The application of mass spectrometry method for the study and identification of medically important viruses (review of literature). Klin Lab Diagn 2022; 67:480-483. [PMID: 36095086 DOI: 10.51620/0869-2084-2022-67-8-480-483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
It is difficult to overestimate the urgency of the problem of well-timed diagnosis of viral infections. According to the WHO, dozens of outbreaks of viral diseases are recorded annually, both in developing and developed countries. Moreover, the seasonal flu virus alone is capable of infecting up to 20% of the population, even in European countries with a high level of medicine. And the annual number of deaths due to viral infections, according to official statistics, exceeds 600 thousand people around the world. That's why the provision of a reliable and fairly rapid diagnosis of viruses, along with subsequent therapy, makes a significant contribution to reducing the incidence of mortality. Despite the fact that PCR-based methods currently remain the most common method for identifying viruses in clinical practice, as recent experience shows, in addition to the already known disadvantages, in the event of large outbreaks, such test systems may simply not be in the required amount. In this regard, it is necessary to supplement and improve the existing tools for identification and research of clinically significant viruses. The MALDI-TOF mass spectrometry method combines a degree of accuracy and versatility, sufficient both for the identification of clinical strains isolated from patients, and for the study of the phenotypic properties of viruses in research laboratories and centers. This article presents and summarizes the main data on the existing or potential application of the method of time-of-flight mass spectrometry with matrix-associated laser desorption / ionization for the identification or study of viruses.
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Affiliation(s)
- T N Sharov
- Federal Government Health Institution «Volgograd Plague Control Research Institute» of the Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare
| | - A A Budchenko
- Federal Government Health Institution «Volgograd Plague Control Research Institute» of the Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare
| | - D V Viktorov
- Federal Government Health Institution «Volgograd Plague Control Research Institute» of the Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare
| | - A V Toporkov
- Federal Government Health Institution «Volgograd Plague Control Research Institute» of the Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare
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7
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Peng J, Sun J, Yang MI, Gibson RM, Arts EJ, Olabode AS, Poon AFY, Wang X, Wheeler AR, Edwards EA, Peng H. Early Warning Measurement of SARS-CoV-2 Variants of Concern in Wastewaters by Mass Spectrometry. ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS 2022; 9:638-644. [PMID: 37552744 PMCID: PMC9236213 DOI: 10.1021/acs.estlett.2c00280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/07/2022] [Accepted: 06/15/2022] [Indexed: 05/24/2023]
Abstract
Wastewater surveillance has rapidly emerged as an early warning tool to track COVID-19. However, the early warning measurement of new SARS-CoV-2 variants of concern (VOCs) in wastewaters remains a major challenge. We herein report a rapid analytical strategy for quantitative measurement of VOCs, which couples nested polymerase chain reaction and liquid chromatography-mass spectrometry (nPCR-LC-MS). This method showed a greater selectivity than the current allele-specific quantitative PCR (AS-qPCR) for tracking new VOC and allowed the detection of multiple signature mutations in a single measurement. By measuring the Omicron variant in wastewaters across nine Ontario wastewater treatment plants serving over a three million population, the nPCR-LC-MS method demonstrated a better quantification accuracy than next-generation sequencing (NGS), particularly at the early stage of community spreading of Omicron. This work addresses a major challenge for current SARS-CoV-2 wastewater surveillance by rapidly and accurately measuring VOCs in wastewaters for early warning.
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Affiliation(s)
- Jiaxi Peng
- Department of Chemistry, University of
Toronto, 80 St George Street, Toronto, Ontario M5S 3H6,
Canada
- Donnelly Centre for Cellular and Biomolecular
Research, University of Toronto, 160 College Street, Toronto,
Ontario M5S 3E1, Canada
- Institute of Biomedical Engineering,
University of Toronto, 164 College Street, Toronto, Ontario
M5S 3G9, Canada
| | - Jianxian Sun
- Department of Chemistry, University of
Toronto, 80 St George Street, Toronto, Ontario M5S 3H6,
Canada
| | - Minqing Ivy Yang
- Department of Chemical Engineering and Applied
Chemistry, University of Toronto, 200 College Street, Toronto,
Ontario M5S 3E5, Canada
| | - Richard M. Gibson
- Department of Microbiology and Immunology,
Western University, 1151 Richmond Street, London, Ontario N6A
5C1, Canada
| | - Eric J. Arts
- Department of Microbiology and Immunology,
Western University, 1151 Richmond Street, London, Ontario N6A
5C1, Canada
| | - Abayomi S. Olabode
- Department of Microbiology and Immunology,
Western University, 1151 Richmond Street, London, Ontario N6A
5C1, Canada
| | - Art F. Y. Poon
- Department of Microbiology and Immunology,
Western University, 1151 Richmond Street, London, Ontario N6A
5C1, Canada
| | - Xianyao Wang
- Department of Chemistry, University of
Toronto, 80 St George Street, Toronto, Ontario M5S 3H6,
Canada
| | - Aaron R. Wheeler
- Department of Chemistry, University of
Toronto, 80 St George Street, Toronto, Ontario M5S 3H6,
Canada
- Donnelly Centre for Cellular and Biomolecular
Research, University of Toronto, 160 College Street, Toronto,
Ontario M5S 3E1, Canada
- Institute of Biomedical Engineering,
University of Toronto, 164 College Street, Toronto, Ontario
M5S 3G9, Canada
| | - Elizabeth A. Edwards
- Department of Chemical Engineering and Applied
Chemistry, University of Toronto, 200 College Street, Toronto,
Ontario M5S 3E5, Canada
| | - Hui Peng
- Department of Chemistry, University of
Toronto, 80 St George Street, Toronto, Ontario M5S 3H6,
Canada
- School of the Environment, University of
Toronto, 80 St George Street, Toronto, Ontario M5S 3H6,
Canada
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8
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Mass Spectrometry Approaches for SARS-CoV-2 Detection: Harnessing for Application in Food and Environmental Samples. Viruses 2022; 14:v14050872. [PMID: 35632614 PMCID: PMC9144875 DOI: 10.3390/v14050872] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/14/2022] [Accepted: 04/19/2022] [Indexed: 11/24/2022] Open
Abstract
The public health crisis caused by the emergence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in 2019 has drastically changed our lifestyle in virtually all contexts around the world. SARS-CoV-2 is mainly airborne, transmitted by the salivary droplets produced when infected people cough or sneeze. In addition, diarrhea symptoms and the detection of SARS-CoV-2 in feces suggest a fecal–oral route of contagion. Currently, the high demand for SARS-CoV-2 diagnosis has surpassed the availability of PCR and immunodetection probes and has prompted the development of other diagnostic alternatives. In this context, mass spectrometry (MS) represents a mature, robust alternative platform for detection of SARS-CoV-2 and other human viruses. This possibility has raised great interest worldwide. Therefore, it is time for the global application of MS as a feasible option for detecting SARS-CoV-2, not only in human fluids, but also in other matrices such as foods and wastewater. This review covers the most relevant established methods for MS-based SARS-CoV-2 detection and discusses the future application of these tools in different matrices. Significance: The Coronavirus Disease 2019 (COVID-19) pandemic highlighted the pros and cons of currently available PCR and immunodetection tools. The great concern over the infective potential of SARS-CoV-2 viral particles that can persist for several hours on different surfaces under various conditions further evidenced the need for reliable alternatives and high-throughput methods to meet the needs for mass detection of SARS-CoV-2. In this context, MS-based proteomics emerging from fundamental studies in life science can offer a robust option for SARS-CoV-2 detection in human fluids and other matrices. In addition, the substantial efforts towards detecting SARS-CoV-2 in clinal samples, position MS to support the detection of this virus in different matrices such as the surfaces of the packing food process, frozen foods, and wastewaters. Proteomics and mass spectrometry are, therefore, well positioned to play a role in the epidemiological control of COVID-19 and other future diseases. We are currently witnessing the opportunity to generate technologies to overcome prolonged pandemics for the first time in human history.
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9
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Habibzadeh S, Hashemzadeh N, Baradaran H, Razi Soofiyani S, Jadideslam G, Pahlavan Y. COVID -19: From the Molecular Mechanisms to Treatment. TANAFFOS 2022; 21:113-131. [PMID: 36879738 PMCID: PMC9985119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 12/20/2021] [Indexed: 03/08/2023]
Abstract
The 2019 novel coronavirus (SARS-CoV-2) causes severe pneumonia called COVID-19 and leads to severe acute respiratory syndrome with a high mortality rate. The SARS-CoV-2 virus in the human body leads to jumpstarting immune reactions and multi-organ inflammation, which has poorer outcomes in the presence of predisposing conditions, including hypertension, dyslipidemia, dysglycemia, abnormal adiposity, and even endothelial dysfunction via biomolecular mechanisms. In addition, leucopenia, hypoxemia, and high levels of both cytokines and chemokines in the acute phase of this disease, as well as some abnormalities in chest CT images, were reported in most patients. The spike protein in SARS-CoV-2, the primary cell surface protein, helps the virus anchor and enter the human host cells. Additionally, new mutations have mainly happened for spike protein, which has promoted the infection's transmissibility and severity, which may influence manufactured vaccines' efficacy. The exact mechanisms of the pathogenesis, besides molecular aspects of COVID-19 related to the disease stages, are not well known. The altered molecular functions in the case of immune responses, including T CD4+, CD8+, and NK cells, besides the overactivity in other components and outstanding factors in cytokines like interleukin-2, were involved in severe cases of SARS-CoV-2. Accordingly, it is highly needed to identify the SARSCoV-2 biomolecular characteristics to help identify the pathogenesis of COVID-19. This study aimed to investigate the biomolecular aspects of SARSCoV-2 infection, focusing on novel SARS-CoV-2 variants and their effects on vaccine efficacy.
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Affiliation(s)
- Shahram Habibzadeh
- Department of Infectious Disease, Imam Khomeini Hospital, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Nastaran Hashemzadeh
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hananeh Baradaran
- Department of clinical pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Saiedeh Razi Soofiyani
- Clinical Research Development Unit, Sina Educational, Research and Treatment Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Golamreza Jadideslam
- Connective Tissue Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Yasamin Pahlavan
- Biosensor Sciences and Technologies Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
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10
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Do T, Guran R, Adam V, Zitka O. Use of MALDI-TOF mass spectrometry for virus identification: a review. Analyst 2022; 147:3131-3154. [DOI: 10.1039/d2an00431c] [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]
Abstract
The possibilities of virus identification, including SARS-CoV-2, by MALDI-TOF mass spectrometry are discussed in this review.
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Affiliation(s)
- Tomas Do
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
| | - Roman Guran
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic
| | - Vojtech Adam
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic
| | - Ondrej Zitka
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic
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11
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Lima NM, Fernandes BL, Alves GF, de Souza JC, Siqueira MM, Patrícia do Nascimento M, Moreira OB, Sussulini A, de Oliveira MA. Mass spectrometry applied to diagnosis, prognosis, and therapeutic targets identification for the novel coronavirus SARS-CoV-2: A review. Anal Chim Acta 2021; 1195:339385. [PMID: 35090661 PMCID: PMC8687343 DOI: 10.1016/j.aca.2021.339385] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 12/27/2022]
Abstract
Mass spectrometry (MS) has found numerous applications in medicine and has been widely used in the detection and characterization of biomolecules associated with viral infections such as COVID-19. COVID-19 is a multisystem disease and, therefore, the need arises to carry out a careful and conclusive assessment of the pathophysiological parameters involved in the infection, to develop an effective therapeutic approach, assess the prognosis of the disease, and especially the early diagnosis of the infected population. Thus, the urgent need for highly accurate methods of diagnosis and prognosis of this infection presents new challenges for the development of laboratory medicine, whose methods require sensitivity, speed, and accuracy of the techniques for analyzing the biological markers involved in the infection. In this context, MS stands out as a robust analytical tool, with high sensitivity and selectivity, accuracy, low turnaround time, and versatility for the analysis of biological samples. However, it has not yet been adopted as a frontline clinical laboratory technique. Therefore, this review explores the potential and trends of current MS methods and their contribution to the development of new strategies to COVID-19 diagnosis and prognosis and how this tool can assist in the discovery of new therapeutic targets, in addition, to comment what could be the future of MS in medicine.
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12
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Liu S, Xu T, Wang C, Jia T, Zhang Q. A Novel Picornavirus Discovered in White Leg Shrimp Penaeus vannamei. Viruses 2021; 13:v13122381. [PMID: 34960649 PMCID: PMC8706678 DOI: 10.3390/v13122381] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 11/20/2021] [Accepted: 11/23/2021] [Indexed: 11/19/2022] Open
Abstract
Global shrimp farming is increasingly threatened by various emerging viruses. In the present study, a novel picornavirus, Penaeus vannamei picornavirus (PvPV), was discovered in moribund White leg shrimp (Penaeus vannamei) collected from farm ponds in China in 2015. Similar to most picornaviruses, PvPV is non-enveloped RNA virus, with a particle diameter of approximately 30 nm. The sequence of the positive single-stranded RNA genome with a length of 10,550 nts was characterized by using genome sequencing and reverse transcription PCR. The existence of PvPV related proteins was further proved by confirmation of viral amino acid sequences, using mass spectrometry analysis. Phylogenetic analysis based on the full-length genomic sequence revealed that PvPV was more closely related to the Wenzhou shrimp virus 8 than to any other dicistroviruses in the order Picornavirales. Genomic sequence conservative domain prediction analysis showed that the PvPV genome encoded a large tegument protein UL36, which was unique among the known dicistroviruses and different from other dicistroviruses. According to these molecular features, we proposed that PvPV is a new species in the family Dicistroviridae. This study reported the first whole-genome sequence of a novel and distinct picornavirus in crustaceans, PvPV, and suggests that further studies of PvPV would be helpful in understanding its evolution and potential pathogenicity, as well as in developing diagnostic techniques.
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Affiliation(s)
- Shuang Liu
- Qingdao Key Laboratory of Mariculture Epidemiology and Biosecurity, Key Laboratory of Maricultural Organism Disease Control, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; (S.L.); (T.X.); (C.W.); (T.J.)
| | - Tingting Xu
- Qingdao Key Laboratory of Mariculture Epidemiology and Biosecurity, Key Laboratory of Maricultural Organism Disease Control, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; (S.L.); (T.X.); (C.W.); (T.J.)
| | - Chong Wang
- Qingdao Key Laboratory of Mariculture Epidemiology and Biosecurity, Key Laboratory of Maricultural Organism Disease Control, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; (S.L.); (T.X.); (C.W.); (T.J.)
| | - Tianchang Jia
- Qingdao Key Laboratory of Mariculture Epidemiology and Biosecurity, Key Laboratory of Maricultural Organism Disease Control, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; (S.L.); (T.X.); (C.W.); (T.J.)
| | - Qingli Zhang
- Qingdao Key Laboratory of Mariculture Epidemiology and Biosecurity, Key Laboratory of Maricultural Organism Disease Control, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; (S.L.); (T.X.); (C.W.); (T.J.)
- Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao 266071, China
- Correspondence: ; Tel.: +86-532-8582-3062 (ext. 812)
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13
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Buszewski B, Maślak E, Złoch M, Railean-Plugaru V, Kłodzińska E, Pomastowski P. A new approach to identifying pathogens, with particular regard to viruses, based on capillary electrophoresis and other analytical techniques. Trends Analyt Chem 2021; 139:116250. [PMID: 34776563 PMCID: PMC8573725 DOI: 10.1016/j.trac.2021.116250] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Fast determination, identification and characterization of pathogens is a significant challenge in many fields, from industry to medicine. Standard approaches (e.g., culture media and biochemical tests) are known to be very time-consuming and labor-intensive. Conversely, screening techniques demand a quick and low-cost grouping of microbial isolates, and current analysis call for broad reports of pathogens, involving the application of molecular, microscopy, and electromigration techniques, DNA fingerprinting and also MALDI-TOF methods. The present COVID-19 pandemic is a crisis that affects rich and poor countries alike. Detection of SARS-CoV-2 in patient samples is a critical tool for monitoring disease spread, guiding therapeutic decisions and devising social distancing protocols. The goal of this review is to present an innovative methodology based on preparative separation of pathogens by electromigration techniques in combination with simultaneous analysis of the proteome, lipidome, and genome using laser desorption/ionization analysis.
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Affiliation(s)
- Bogusław Buszewski
- Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, 87-100, Torun, Poland.,Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University in Torun, 87-100, Torun, Poland
| | - Ewelina Maślak
- Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, 87-100, Torun, Poland.,Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University in Torun, 87-100, Torun, Poland
| | - Michał Złoch
- Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, 87-100, Torun, Poland
| | - Viorica Railean-Plugaru
- Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, 87-100, Torun, Poland
| | - Ewa Kłodzińska
- Institute of Sport - National Research Institute, Department of Analytical Chemistry and Instrumental Analysis, 01-982, Warsaw, Poland
| | - Paweł Pomastowski
- Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, 87-100, Torun, Poland
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MubarakAli D. Comprehensive Review on Rapid Diagnosis of New Infection COVID-19. Appl Biochem Biotechnol 2021; 194:1390-1400. [PMID: 34714500 PMCID: PMC8553914 DOI: 10.1007/s12010-021-03728-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 10/21/2021] [Indexed: 12/24/2022]
Abstract
Generally, rapid detection of viral infection is necessary for preventing the virus from spreading among people in a society as a pandemic. Although there are many effective standard techniques used for virus identification, they are laborious, required skilled person to handle and time-consuming. Particularly, the detection of viral infection involved in the isolation and nucleic acid detection by collecting specimens (sample) from the appropriate sites. For instance, oral or nasal swab, nasopharyngeal or tracheal extract, lung tissue, blood, sputum and feces are collected in order to investigate the pandemic, COVID-19 for the effective and rapid diagnosis and eventually for the treatment. In this mini-review, it is summarized that the advanced testing methods which include RNA, immunologic and radiological based tests that could be used to detect COVID-19 and their cost, reliability and functionality are discussed in this review. This mini-review might help the researcher and health care sector to plan the diagnostic procedures as per the severity of the new infection, COVID-19.
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Affiliation(s)
- Davoodbasha MubarakAli
- School of Life Sciences, B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, 600048, India. .,Centre of MicroAlgal and Nano Biotechnology (CeMANT), Crescent Innovation and Incubation Council (CIIC), B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, 600048, India.
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15
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Diagnostic Techniques for COVID-19: A Mini-review of Early Diagnostic Methods. JOURNAL OF ANALYSIS AND TESTING 2021; 5:314-326. [PMID: 34631199 PMCID: PMC8488931 DOI: 10.1007/s41664-021-00198-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 08/25/2021] [Indexed: 12/26/2022]
Abstract
The outbreak of severe pneumonia at the end of 2019 was proved to be caused by the SARS-CoV-2 virus spreading out the world. And COVID-19 spread rapidly through a terrible transmission way by human-to-human, which led to many suspected cases waiting to be diagnosed and huge daily samples needed to be tested by an effective and rapid detection method. With an increasing number of COVID-19 infections, medical pressure is severe. Therefore, more efficient and accurate diagnosis methods were keen urgently established. In this review, we summarized several methods that can rapidly and sensitively identify COVID-19; some of them are widely used as the diagnostic techniques for SARS-CoV-2 in various countries, some diagnostic technologies refer to SARS (Severe Acute Respiratory Syndrome) or/and MERS (Middle East Respiratory Syndrome) detection, which may provide potential diagnosis ideas.
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16
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Yang J, Yan Y, Zhong W. Application of omics technology to combat the COVID-19 pandemic. MedComm (Beijing) 2021; 2:381-401. [PMID: 34766152 PMCID: PMC8554664 DOI: 10.1002/mco2.90] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 08/22/2021] [Accepted: 08/24/2021] [Indexed: 12/17/2022] Open
Abstract
As of August 27, 2021, the ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread to over 220 countries, areas, and territories. Thus far, 214,468,601 confirmed cases, including 4,470,969 deaths, have been reported to the World Health Organization. To combat the COVID-19 pandemic, multiomics-based strategies, including genomics, transcriptomics, proteomics, and metabolomics, have been used to study the diagnosis methods, pathogenesis, prognosis, and potential drug targets of COVID-19. In order to help researchers and clinicians to keep up with the knowledge of COVID-19, we summarized the most recent progresses reported in omics-based research papers. This review discusses omics-based approaches for studying COVID-19, summarizing newly emerged SARS-CoV-2 variants as well as potential diagnostic methods, risk factors, and pathological features of COVID-19. This review can help researchers and clinicians gain insight into COVID-19 features, providing direction for future drug development and guidance for clinical treatment, so that patients can receive appropriate treatment as soon as possible to reduce the risk of disease progression.
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Affiliation(s)
- Jingjing Yang
- National Engineering Research Center for the Emergency DrugBeijing Institute of Pharmacology and ToxicologyBeijingChina
- School of Pharmaceutical SciencesHainan UniversityHaikouHainanChina
| | - Yunzheng Yan
- National Engineering Research Center for the Emergency DrugBeijing Institute of Pharmacology and ToxicologyBeijingChina
| | - Wu Zhong
- National Engineering Research Center for the Emergency DrugBeijing Institute of Pharmacology and ToxicologyBeijingChina
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17
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Current diagnostic approaches to detect two important betacoronaviruses: Middle East respiratory syndrome coronavirus (MERS-CoV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Pathol Res Pract 2021; 225:153565. [PMID: 34333398 PMCID: PMC8305226 DOI: 10.1016/j.prp.2021.153565] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 02/07/2023]
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are two common betacoronaviruses, which are still causing transmission among the human population worldwide. The major difference between the two coronaviruses is that MERS-CoV is now causing sporadic transmission worldwide, whereas SARS-CoV-2 is causing a pandemic outbreak globally. Currently, different guidelines and reports have highlighted several diagnostic methods and approaches which could be used to screen and confirm MERS-CoV and SARS-CoV-2 infections. These methods include clinical evaluation, laboratory diagnosis (nucleic acid-based test, protein-based test, or viral culture), and radiological diagnosis. With the presence of these different diagnostic approaches, it could cause a dilemma to the clinicians and diagnostic laboratories in selecting the best diagnostic strategies to confirm MERS-CoV and SARS-CoV-2 infections. Therefore, this review aims to provide an up-to-date comparison of the advantages and limitations of different diagnostic approaches in detecting MERS-CoV and SARS-CoV-2 infections. This review could provide insights for clinicians and scientists in detecting MERS-CoV and SARS-CoV-2 infections to help combat the transmission of these coronaviruses.
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18
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Yuan ZC, Hu B. Mass Spectrometry-Based Human Breath Analysis: Towards COVID-19 Diagnosis and Research. JOURNAL OF ANALYSIS AND TESTING 2021; 5:287-297. [PMID: 34422436 PMCID: PMC8364943 DOI: 10.1007/s41664-021-00194-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 06/25/2021] [Indexed: 12/12/2022]
Abstract
COVID-19 is a highly contagious respiratory disease that can be infected through human exhaled breath. Human breath analysis is an attractive strategy for rapid diagnosis of COVID-19 in a non-invasive way by monitoring breath biomarkers. Mass spectrometry (MS)-based approaches offer a promising analytical platform for human breath analysis due to their high speed, specificity, sensitivity, reproducibility, and broad coverage, as well as its versatile coupling methods with different chromatographic separation, and thus can lead to a better understanding of the clinical and biochemical processes of COVID-19. Herein, we try to review the developments and applications of MS-based approaches for multidimensional analysis of COVID-19 breath samples, including metabolites, proteins, microorganisms, and elements. New features of breath sampling and analysis are highlighted. Prospects and challenges on MS-based breath analysis related to COVID-19 diagnosis and study are discussed.
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Affiliation(s)
- Zi-Cheng Yuan
- Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, 510632 China
| | - Bin Hu
- Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, 510632 China
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19
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Stelzl E, Kessler HH, Mustafa HG, Mustafa ME, Santner BI, Seier J, La Torre M, Haushofer AC. Alternative detection of SARS-CoV-2 RNA by a new assay based on mass spectrometry. Clin Chem Lab Med 2021; 59:1998-2002. [PMID: 34388325 DOI: 10.1515/cclm-2021-0483] [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: 04/23/2021] [Accepted: 08/02/2021] [Indexed: 12/29/2022]
Abstract
OBJECTIVES Accurate detection of SARS-CoV-2 RNA is essential to stopping the spread of SARS-CoV-2. The aim of this study was to evaluate the performance of the recently introduced MassARRAY® SARS-CoV-2 Panel and to compare it to the cobas® SARS-CoV-2 Test. METHODS The MassARRAY® SARS-CoV-2 Panel consists of five assays targeting different sequences of the SARS-CoV-2 genome. Accuracy was determined using national and international proficiency panels including 27 samples. For clinical evaluation, 101 residual clinical samples were analyzed and results compared. Samples had been tested for SARS-CoV-2 RNA with the cobas® SARS-CoV-2 Test. RESULTS When accuracy was tested with the MassARRAY® SARS-CoV-2 Panel, 25 of 27 (92.6%) samples revealed correct results. When clinical samples were analyzed with the MassARRAY® SARS-CoV-2 Panel and compared to the cobas® SARS-CoV-2 Test, 100 samples showed concordant results. One sample was found to be inconclusive with the MassARRAY® SARS-CoV-2 Panel. When time-to-results were compared, the new assay showed longer total and hands-on times. CONCLUSIONS The MassARRAY® SARS-CoV-2 Panel showed a good performance and proved to be suitable for use in the routine diagnostic laboratory. Especially during phases of shortage of reagents and/or disposables, the new test system appears as beneficial alternative to standard assays used for detection of SARS-CoV-2 RNA.
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Affiliation(s)
- Evelyn Stelzl
- Research Unit Molecular Diagnostics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria
| | - Harald H Kessler
- Research Unit Molecular Diagnostics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria
| | - Hans G Mustafa
- Medilab - Medizinisch-Chemisches Laboratorium Dr. Mustafa, Dr. Richter OG, Salzburg, Austria
| | - Maria E Mustafa
- Medilab - Medizinisch-Chemisches Laboratorium Dr. Mustafa, Dr. Richter OG, Salzburg, Austria
| | - Brigitte I Santner
- Research Unit Molecular Diagnostics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria
| | - Josef Seier
- Central Laboratory, Klinikum Wels-Grieskirchen GmbH, Wels, Austria
| | - Marco La Torre
- Central Laboratory, Klinikum Wels-Grieskirchen GmbH, Wels, Austria
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20
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Rais Y, Fu Z, Drabovich AP. Mass spectrometry-based proteomics in basic and translational research of SARS-CoV-2 coronavirus and its emerging mutants. Clin Proteomics 2021; 18:19. [PMID: 34384361 PMCID: PMC8358260 DOI: 10.1186/s12014-021-09325-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 08/07/2021] [Indexed: 01/08/2023] Open
Abstract
Molecular diagnostics of the coronavirus disease of 2019 (COVID-19) now mainly relies on the measurements of viral RNA by RT-PCR, or detection of anti-viral antibodies by immunoassays. In this review, we discussed the perspectives of mass spectrometry-based proteomics as an analytical technique to identify and quantify proteins of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and to enable basic research and clinical studies on COVID-19. While RT-PCR and RNA sequencing are indisputably powerful techniques for the detection of SARS-CoV-2 and identification of the emerging mutations, proteomics may provide confirmatory diagnostic information and complimentary biological knowledge on protein abundance, post-translational modifications, protein-protein interactions, and the functional impact of the emerging mutations. Pending advances in sensitivity and throughput of mass spectrometry and liquid chromatography, shotgun and targeted proteomic assays may find their niche for the differential quantification of viral proteins in clinical and environmental samples. Targeted proteomic assays in combination with immunoaffinity enrichments also provide orthogonal tools to evaluate cross-reactivity of serology tests and facilitate development of tests with the nearly perfect diagnostic specificity, this enabling reliable testing of broader populations for the acquired immunity. The coronavirus pandemic of 2019-2021 is another reminder that the future global pandemics may be inevitable, but their impact could be mitigated with the novel tools and assays, such as mass spectrometry-based proteomics, to enable continuous monitoring of emerging viruses, and to facilitate rapid response to novel infectious diseases.
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Affiliation(s)
- Yasmine Rais
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Zhiqiang Fu
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Andrei P Drabovich
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
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21
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Chen XF, Hou X, Xiao M, Zhang L, Cheng JW, Zhou ML, Huang JJ, Zhang JJ, Xu YC, Hsueh PR. Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) Analysis for the Identification of Pathogenic Microorganisms: A Review. Microorganisms 2021; 9:microorganisms9071536. [PMID: 34361971 PMCID: PMC8304613 DOI: 10.3390/microorganisms9071536] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/03/2021] [Accepted: 07/10/2021] [Indexed: 12/13/2022] Open
Abstract
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been used in the field of clinical microbiology since 2010. Compared with the traditional technique of biochemical identification, MALDI-TOF MS has many advantages, including convenience, speed, accuracy, and low cost. The accuracy and speed of identification using MALDI-TOF MS have been increasing with the development of sample preparation, database enrichment, and algorithm optimization. MALDI-TOF MS has shown promising results in identifying cultured colonies and rapidly detecting samples. MALDI-TOF MS has critical research applications for the rapid detection of highly virulent and drug-resistant pathogens. Here we present a scientific review that evaluates the performance of MALDI-TOF MS in identifying clinical pathogenic microorganisms. MALDI-TOF MS is a promising tool in identifying clinical microorganisms, although some aspects still require improvement.
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Affiliation(s)
- Xin-Fei Chen
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Graduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Xin Hou
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Meng Xiao
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Li Zhang
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Jing-Wei Cheng
- Center of Clinical Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing 100053, China;
| | - Meng-Lan Zhou
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Jing-Jing Huang
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Graduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Jing-Jia Zhang
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Ying-Chun Xu
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
- Correspondence: (Y.-C.X.); (P.-R.H.)
| | - Po-Ren Hsueh
- Departments of Laboratory Medicine and Internal Medicine, China Medical University Hospital, School of Medicine, China Medical University, Taichung 40447, Taiwan;
- Departments of Laboratory Medicine and Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei 100, Taiwan
- Correspondence: (Y.-C.X.); (P.-R.H.)
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22
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Li Y, Xiu L, Liu J, Zhang C, Wang F, Yin Y, Peng J. A multiplex assay for characterization of antimicrobial resistance in Neisseria gonorrhoeae using multi-PCR coupled with mass spectrometry. J Antimicrob Chemother 2021; 75:2817-2825. [PMID: 32688393 DOI: 10.1093/jac/dkaa269] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 04/19/2020] [Accepted: 05/21/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Complicated mechanisms and variable determinants related to drug resistance pose a major challenge to obtain comprehensive antimicrobial resistance (AMR) profiles of Neisseria gonorrhoeae. Meanwhile, cephalosporin-resistant mosaic penA alleles have been reported worldwide. Therefore, it is urgent to monitor the expansion of cephalosporin-resistant mosaic penA alleles. OBJECTIVES To develop a comprehensive high-throughput method to efficiently screen AMR determinants. METHODS We developed a method based on multiplex PCR with MALDI-TOF MS, which can simultaneously screen for 24 mutations associated with multiple antimicrobial agents in 19 gonococcal AMR loci (NG-AMR-MS). The performance of the NG-AMR-MS method was assessed by testing 454 N. gonorrhoeae isolates with known MICs of six antibiotics, eight non-gonococcal Neisseria strains, 214 clinical samples and three plasmids with a confirmed mosaic penA allele. RESULTS The results show that NG-AMR-MS had a specificity of 100% with a sensitivity as low as 10 copies per reaction (except for PorB A121D/N/G, 100 copies per reaction). For clinical samples with gonococcal load >5 copies/μL, the method can accurately identify 20 AMR mutations. In addition, the method successfully detected specific cephalosporin-resistant strains with the A311V mutation in the penA allele. CONCLUSIONS Our high-throughput method can provide comprehensive AMR profiles within a multiplex format. Furthermore, the method can be directly applied to screening for AMR among clinical samples, serving as an effective tool for overall monitoring of N. gonorrhoeae AMR and also provides a powerful means to comprehensively improve the level of monitoring.
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Affiliation(s)
- Yamei Li
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.,Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences, Beijing, China
| | - Leshan Xiu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.,Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences, Beijing, China
| | - Jingwei Liu
- Institute of Dermatology and Hospital for Skin Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People's Republic of China.,National Center for Sexually Transmitted Diseases Control, Chinese Center for Disease Control and Prevention, Nanjing, People's Republic of China
| | - Chi Zhang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.,Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences, Beijing, China
| | - Feng Wang
- Shenzhen Center for Chronic Disease Control, Shenzhen, People's Republic of China
| | - Yueping Yin
- Institute of Dermatology and Hospital for Skin Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People's Republic of China.,National Center for Sexually Transmitted Diseases Control, Chinese Center for Disease Control and Prevention, Nanjing, People's Republic of China
| | - Junping Peng
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.,Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences, Beijing, China
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23
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Abstract
This article reviews the many and varied mass spectrometry based responses to the SARS-CoV2 coronavirus amidst a continuing global healthcare crisis. Although RT-PCR is the most prevalent molecular based surveillance approach, improvements in the detection sensitivities with mass spectrometry coupled to the rapid nature of analysis, the high molecular precision of measurements, opportunities for high sample throughput, and the potential for in-field testing, offer advantages for characterising the virus and studying the molecular pathways by which it infects host cells. The detection of biomarkers by MALDI-TOF mass spectrometry, studies of viral peptides using proteotyping strategies, targeted LC-MS analyses to identify abundant peptides in clinical specimens, the analysis of viral protein glycoforms, proteomics approaches to understand impacts of infection on host cells, and examinations of point-of-care breath analysis have all been explored. This review organises and illustrates these applications with reference to the many studies that have appeared in the literature since the outbreak. In this respect, those studies in which mass spectrometry has a major role are the focus, and only those which have peer-reviewed have been cited.
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Affiliation(s)
- Justin H Griffin
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia
| | - Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia
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24
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Rybicka M, Miłosz E, Bielawski KP. Superiority of MALDI-TOF Mass Spectrometry over Real-Time PCR for SARS-CoV-2 RNA Detection. Viruses 2021; 13:v13050730. [PMID: 33922195 PMCID: PMC8145549 DOI: 10.3390/v13050730] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/16/2021] [Accepted: 04/19/2021] [Indexed: 12/11/2022] Open
Abstract
At present, the RT-PCR test remains the gold standard for early diagnosis of SARS-CoV-2. Nevertheless, there is growing evidence demonstrating that this technique may generate false-negative results. Here, we aimed to compare the new mass spectrometry-based assay MassARRAY® SARS-CoV-2 Panel with the RT-PCR diagnostic test approved for clinical use. The study group consisted of 168 suspected patients with symptoms of a respiratory infection. After simultaneous analysis by RT-PCR and mass spectrometry methods, we obtained discordant results for 17 samples (10.12%). Within fifteen samples officially reported as presumptive positive, 13 were positive according to the MS-based assay. Moreover, four samples reported by the officially approved RT-PCR as negative were positive in at least one MS assay. We have successfully demonstrated superior sensitivity of the MS-based assay in SARS-CoV-2 detection, showing that MALDI-TOF MS seems to be ideal for the detection as well as discrimination of mutations within the viral genome.
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Affiliation(s)
- Magda Rybicka
- Department of Molecular Diagnostics, Intercollegiate Faculty of Biotechnology, University of Gdansk and Medical University of Gdansk, Abrahama 58, 80-307 Gdansk, Poland;
- Correspondence: ; Tel.: +48-058-523-6435
| | - Ewa Miłosz
- Laboratory of Molecular Biology, Medical University of Gdansk, Marii Skłodowskiej-Curie 3A, 80-210 Gdansk, Poland;
| | - Krzysztof Piotr Bielawski
- Department of Molecular Diagnostics, Intercollegiate Faculty of Biotechnology, University of Gdansk and Medical University of Gdansk, Abrahama 58, 80-307 Gdansk, Poland;
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25
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Costa J, Ferreira EC, Santos C. COVID-19, Chikungunya, Dengue and Zika Diseases: An Analytical Platform Based on MALDI-TOF MS, IR Spectroscopy and RT-qPCR for Accurate Diagnosis and Accelerate Epidemics Control. Microorganisms 2021; 9:microorganisms9040708. [PMID: 33808104 PMCID: PMC8066533 DOI: 10.3390/microorganisms9040708] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 02/26/2021] [Accepted: 03/03/2021] [Indexed: 12/23/2022] Open
Abstract
COVID-19 and arboviruses (ARBOD) epidemics co-occurrence is a great concern. In tropical and subtropical regions, ARBOD diseases such as chikungunya, dengue, and Zika are frequent. In both COVID-19 and ARBOD cases, an accurate diagnosis of infected patients is crucial to promote adequate treatment and isolation measures in COVID-19 cases. Overlap of clinical symptoms and laboratory parameters between COVID-19 and ARBOD present themselves as an extra challenge during diagnosis. COVID-19 diagnosis is mainly performed by quantitative reverse polymerase chain reaction (RT-qPCR), while ARBOD diagnosis is performed by serology, detection of antigen or antibody, and molecular diagnosis. In this review, the epidemiologic profile of arboviruses and SARS-CoV-2 is analyzed, and potential risks of symptom overlap is addressed. The implementation of an analytical platform based on infrared (IR) spectroscopy, MALDI-TOF mass spectrometry, and RT-qPCR is discussed as an efficient strategy for a fast, robust, reliable, and cost-effective diagnosis system even during the co-occurrence of virus outbreaks. The spectral data of IR spectroscopy and MALDI-TOF MS obtained from COVID-19 infected and recovered patients can be used to build up an integrated spectral database. This approach can enable us to determine quickly the groups that have been exposed and have recovered from COVID-19 or ARBOD, avoiding misdiagnoses.
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Affiliation(s)
- Jéssica Costa
- Programa de Doctorado en Ciencias de Recursos Naturales, Universidad de La Frontera, Temuco 4811-230, Chile;
| | - Eugénio C. Ferreira
- CEB-Centre of Biological Engineering, Universidade do Minho, Campus of Gualtar, 4710-057 Braga, Portugal;
| | - Cledir Santos
- Department of Chemical Science and Natural Resources, Universidad de La Frontera, Temuco 4811-230, Chile
- Correspondence: ; Tel.: +56-45-259-6726
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26
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Stevens KG, Pukala TL. Conjugating immunoassays to mass spectrometry: Solutions to contemporary challenges in clinical diagnostics. Trends Analyt Chem 2020; 132:116064. [PMID: 33046944 PMCID: PMC7539833 DOI: 10.1016/j.trac.2020.116064] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Developments in immunoassays and mass spectrometry have independently influenced diagnostic technology. However, both techniques possess unique strengths and limitations, which define their ability to meet evolving requirements for faster, more affordable and more accurate clinical tests. In response, hybrid techniques, which combine the accessibility and ease-of-use of immunoassays with the sensitivity, high throughput and multiplexing capabilities of mass spectrometry are continually being explored. Developments in antibody conjugation methodology have expanded the role of these biomolecules to applications outside of conventional colorimetric assays and histology. Furthermore, the range of different mass spectrometry ionisation and analysis technologies has enabled its successful adaptation as a detection method for numerous clinically relevant immunological assays. Several recent examples of combined mass spectrometry-immunoassay techniques demonstrate the potential of these methods as improved diagnostic tests for several important human diseases. The present challenges are to continue technological advancements in mass spectrometry instrumentation and develop improved bioconjugation methods, which can overcome their existing limitations and demonstrate the clinical significance of these hybrid approaches.
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27
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Wang Z, Chen Y, Yang J, Han Y, Shi J, Zhan S, Peng R, Li R, Zhang R, Li J, Zhang R. External Quality Assessment for Molecular Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Clinical Laboratories. J Mol Diagn 2020; 23:19-28. [PMID: 33122140 PMCID: PMC7587075 DOI: 10.1016/j.jmoldx.2020.10.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 09/28/2020] [Accepted: 10/14/2020] [Indexed: 12/15/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a huge threat to public health. Viral nucleic acid testing is the diagnostic gold standard and can play an important role in the prevention and control of this infection. In this study, bacteriophage MS2 virus-like particles encapsulating specific RNA sequences of SARS-CoV-2 and other coronaviruses were prepared by genetic engineering. The assessment panel, consisting of four positive samples with concentrations of 2.8, 3.5, 4.2, and 4.9 log10 copies/mL and five negative samples with other human coronaviruses, was prepared and distributed to evaluate the accuracy of routine viral RNA detection. Results of 931 panels from 844 laboratories were collected. The overall percentage agreement, positive percentage agreement (PPA), and negative percentage agreement, defined as the percentage of agreement between the correct results and total results submitted for all, positive, and negative samples were 96.8% (8109/8379), 93.9% (3497/3724), and 99.1% (4612/4655), respectively. For samples with concentrations of 4.9 and 4.2 log10 copies/mL, the PPAs were >95%. However, for 3.5 and 2.8 log10 copies/mL, the PPAs were 94.6% (881/931) and 84.9% (790/931), respectively. For all negative samples, the negative percentage agreement values were >95%. Thus, most laboratories can reliably detect SARS-CoV-2. However, further improvement and optimization are required to ensure the accuracy of detection in panel members with lower concentrations of viral RNA.
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Affiliation(s)
- Zhe Wang
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuqing Chen
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Yang
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yanxi Han
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Jiping Shi
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Peking University Fifth School of Clinical Medicine, Beijing Hospital, Beijing, P.R. China
| | - Shaohua Zhan
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Rongxue Peng
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Rui Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Runling Zhang
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jinming Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China.
| | - Rui Zhang
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China; Peking University Fifth School of Clinical Medicine, Beijing Hospital, Beijing, P.R. China.
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28
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Choi WS, Jeong JH, Nicolas HDG, Oh S, Antigua KJC, Park JH, Kim B, Yoon SW, Shin KS, Choi YK, Baek YH, Song MS. Peptide Nucleic Acid (PNA)-Enhanced Specificity of a Dual-Target Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) Assay for the Detection and Differentiation of SARS-CoV-2 from Related Viruses. Diagnostics (Basel) 2020; 10:diagnostics10100775. [PMID: 33007999 PMCID: PMC7601008 DOI: 10.3390/diagnostics10100775] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/24/2020] [Accepted: 09/29/2020] [Indexed: 12/02/2022] Open
Abstract
The threat posed by coronaviruses to human health has necessitated the development of a highly specific and sensitive viral detection method that could differentiate between the currently circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other SARS-related coronaviruses (SARSr-CoVs). In this study, we developed a peptide nucleic acid (PNA)-based real-time quantitative polymerase chain reaction (RT-qPCR) assay targeting the N gene to efficiently discriminate SARS-CoV-2 from other SARSr-CoVs in human clinical samples. Without compromising the sensitivity, this method significantly enhanced the specificity of SARS-CoV-2 detection by 100-fold as compared to conventional RT-qPCR. In addition, we designed an RT-qPCR method for the sensitive and universal detection of ORF3ab-E genes of SARSr-CoV with a limit of detection (LOD) of 3.3 RNA copies per microliter. Thus, the developed assay serves as a confirmative dual-target detection method. Our PNA-mediated dual-target RT-qPCR assay can detect clinical SARS-CoV-2 samples in the range of 18.10–35.19 Ct values with an 82.6–100% detection rate. Furthermore, our assay showed no cross-reactions with other coronaviruses such as human coronaviruses (229E, NL63, and OC43) and Middle East respiratory syndrome coronavirus, influenza viruses (Type B, H1N1, H3N2, HPAI H5Nx, and H7N9), and other respiratory disease-causing viruses (MPV, RSV A, RSV B, PIV, AdV, and HRV). We, thus, developed a PNA-based RT-qPCR assay that differentiates emerging pathogens such as SARS-CoV-2 from closely related viruses such as SARSr-CoV and allows diagnosis of infections related to already identified or new coronavirus strains.
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Affiliation(s)
- Won-Suk Choi
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
| | - Ju Hwan Jeong
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
| | - Halcyon Dawn G. Nicolas
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
| | - Sol Oh
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
| | - Khristine Joy C. Antigua
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
| | - Ji-Hyun Park
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
| | - Beomkyu Kim
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
| | - Sun-Woo Yoon
- Infectious Diseases Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea;
| | - Kyeong Seob Shin
- Department of Laboratory Medicine, Chungbuk National University College of Medicine, Cheongju 28644, Korea;
| | - Young Ki Choi
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
| | - Yun Hee Baek
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
- Correspondence: (Y.H.B.); (M.-S.S.)
| | - Min-Suk Song
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea; (W.-S.C.); (J.H.J.); (H.D.G.N.); (S.O.); (K.J.C.A.); (J.-H.P.); (B.K.); (Y.K.C.)
- Correspondence: (Y.H.B.); (M.-S.S.)
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29
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Wandernoth P, Kriegsmann K, Groh-Mohanu C, Daeumer M, Gohl P, Harzer O, Kriegsmann M, Kriegsmann J. Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by Mass Spectrometry. Viruses 2020; 12:v12080849. [PMID: 32759673 PMCID: PMC7472307 DOI: 10.3390/v12080849] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 07/28/2020] [Accepted: 08/01/2020] [Indexed: 01/08/2023] Open
Abstract
Background: Amplification of viral ribonucleic acid (RNA) by real-time reverse transcriptase polymerase chain reaction (rRT-PCR) is the gold standard to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the initial outbreak, strategies to detect and isolate patients have been important to avoid uncontrolled viral spread. Although testing capacities have been upscaled, there is still a need for reliable high throughput test systems, specifically those that require alternative consumables. Therefore, we tested and compared two different methods for the detection of viral PCR products: rRT-PCR and mass spectrometry (MS). Methods: Viral RNA was isolated and amplified from oro- or nasopharyngeal swabs. A total of 22 samples that tested positive and 22 samples that tested negative for SARS-CoV-2 by rRT-PCR were analyzed by MS. Results of the rRT-PCR and the MS protocol were compared. Results: Results of rRT-PCR and the MS test system were in concordance in all samples. Time-to-results was faster for rRT-PCR. Hands-on-time was comparable in both assays. Conclusions: MS is a fast, reliable and cost-effective alternative for the detection of SARS-CoV-2 from oral and nasopharyngeal swabs.
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Affiliation(s)
- Petra Wandernoth
- Center for Histology, Cytology and Molecular Diagnostics Trier, 54296 Trier, Germany; (P.W.); (C.G.-M.); (J.K.)
| | - Katharina Kriegsmann
- Department of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany;
| | - Cristina Groh-Mohanu
- Center for Histology, Cytology and Molecular Diagnostics Trier, 54296 Trier, Germany; (P.W.); (C.G.-M.); (J.K.)
| | - Martin Daeumer
- Kaiserslautern Medical Laboratory, Institute of Immunology and Genetics, 67655 Kaiserslautern, Germany;
| | - Peter Gohl
- Bioscientia, 576080 Ingelheim, Germany; (P.G.); (O.H.)
| | - Oliver Harzer
- Bioscientia, 576080 Ingelheim, Germany; (P.G.); (O.H.)
| | - Mark Kriegsmann
- Institute of Pathology, University Hospital Heidelberg, 69120 Heidelberg, Germany
- German Center for Lung Cancer Research (DZL), 69120 Heidelberg, Germany
- Correspondence:
| | - Joerg Kriegsmann
- Center for Histology, Cytology and Molecular Diagnostics Trier, 54296 Trier, Germany; (P.W.); (C.G.-M.); (J.K.)
- Danube Private University Krems, 3500 Krems, Austria
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30
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Jayathirtha M, Dupree EJ, Manzoor Z, Larose B, Sechrist Z, Neagu AN, Petre BA, Darie CC. Mass Spectrometric (MS) Analysis of Proteins and Peptides. Curr Protein Pept Sci 2020; 22:92-120. [PMID: 32713333 DOI: 10.2174/1389203721666200726223336] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 05/12/2020] [Accepted: 05/28/2020] [Indexed: 01/09/2023]
Abstract
The human genome is sequenced and comprised of ~30,000 genes, making humans just a little bit more complicated than worms or flies. However, complexity of humans is given by proteins that these genes code for because one gene can produce many proteins mostly through alternative splicing and tissue-dependent expression of particular proteins. In addition, post-translational modifications (PTMs) in proteins greatly increase the number of gene products or protein isoforms. Furthermore, stable and transient interactions between proteins, protein isoforms/proteoforms and PTM-ed proteins (protein-protein interactions, PPI) add yet another level of complexity in humans and other organisms. In the past, all of these proteins were analyzed one at the time. Currently, they are analyzed by a less tedious method: mass spectrometry (MS) for two reasons: 1) because of the complexity of proteins, protein PTMs and PPIs and 2) because MS is the only method that can keep up with such a complex array of features. Here, we discuss the applications of mass spectrometry in protein analysis.
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Affiliation(s)
- Madhuri Jayathirtha
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Emmalyn J Dupree
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zaen Manzoor
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Brianna Larose
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zach Sechrist
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania
| | - Brindusa Alina Petre
- Laboratory of Biochemistry, Department of Chemistry, Al. I. Cuza University of Iasi, Iasi, Romania, Center for Fundamental Research and Experimental Development in Translation Medicine - TRANSCEND, Regional Institute of Oncology, Iasi, Romania
| | - Costel C Darie
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
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31
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A RT-PCR assay for the detection of coronaviruses from four genera. J Clin Virol 2020; 128:104391. [PMID: 32403008 PMCID: PMC7192118 DOI: 10.1016/j.jcv.2020.104391] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 04/20/2020] [Accepted: 04/26/2020] [Indexed: 01/13/2023]
Abstract
We developed a diagnostic to detect all CoVs from the four main genera. This assay can detect and identify all previously recognized CoVs and any future related CoVs that may emerge. The assay was highly specific and sensitive in detecting CoVs, and performed well on different sample types.
Background During the past two decades, three novel coronaviruses (CoVs) have emerged to cause international human epidemics with severe morbidity. CoVs have also emerged to cause severe epidemics in animals. A better understanding of the natural hosts and genetic diversity of CoVs are needed to help mitigate these threats. Objective To design and evaluate a molecular diagnostic tool for detection and identification of all currently recognized and potentially future emergent CoVs from the Orthocoronavirinae subfamily. Study design and Results We designed a semi-nested, reverse transcription RT-PCR assay based upon 38 published genome sequences of human and animal CoVs. We evaluated this assay with 14 human and animal CoVs and 11 other non-CoV respiratory viruses. Through sequencing the assay's target amplicon, the assay correctly identified each of the CoVs; no cross-reactivity with 11 common respiratory viruses was observed. The limits of detection ranged from 4 to 4 × 102 copies/reaction, depending on the CoV species tested. To assess the assay's clinical performance, we tested a large panel of previously studied specimens: 192 human respiratory specimens from pneumonia patients, 5 clinical specimens from COVID-19 patients, 81 poultry oral secretion specimens, 109 pig slurry specimens, and 31 aerosol samples from a live bird market. The amplicons of all RT-PCR-positive samples were confirmed by Sanger sequencing. Our assay performed well with all tested specimens across all sample types. Conclusions This assay can be used for detection and identification of all previously recognized CoVs, including SARS-CoV-2, and potentially any emergent CoVs in the Orthocoronavirinae subfamily.
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Polymorphisms in PARP1 predict disease-free survival of triple-negative breast cancer patients treated with anthracycline/taxane based adjuvant chemotherapy. Sci Rep 2020; 10:7349. [PMID: 32355298 PMCID: PMC7192942 DOI: 10.1038/s41598-020-64473-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 04/15/2020] [Indexed: 01/15/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is a highly aggressive disease and of poor prognosis. It is very important to identify novel biomarkers to predict therapeutic response and outcome of TNBC. We investigated the association between polymorphisms in PARP1 gene and clinicopathological characteristics or survival of 272 patients with stage I-III primary TNBC treated with anthracycline/taxane based adjuvant chemotherapy. We found that after adjusted by age, grade, tumor size, lymph node status and vascular invasion, rs7531668 TA genotype carriers had significantly better DFS rate than TT genotype carriers, the 5 y DFS was 79.3% and 69.2% (P = 0.046, HR 0.526 95% CI 0.280-0.990). In lymph node negative subgroup, DFS of rs6664761 CC genotype carriers was much better than TT genotype carriers (P = 0.016, HR 0.261 95% CI 0.088-0.778) and DFS of rs7531668 AA genotype carriers was shorter than TT genotype carriers (P = 0.015, HR 3.361 95% CI 1.259-8.969). In subgroup of age ≤ 50, rs6664761 TC genotype predicted favorable DFS than TT genotype (P = 0.042, HR 0.405 95% CI 0.170-0.967). Polymorphisms in PARP1 gene had no influence on treatment toxicities. After multivariate analysis, tumor size (P = 0.037, HR = 2.829, 95% CI: 1.063-7.525) and lymph node status (P < 0.001, HR = 9.943, 95% CI: 2.974-33.243) were demonstrated to be independent prognostic factors. Our results suggested that polymorphisms in PARP1 gene might predict the DFS of TNBC patients treated with anthracycline/taxane based adjuvant chemotherapy.
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Yu F, Du L, Ojcius DM, Pan C, Jiang S. Measures for diagnosing and treating infections by a novel coronavirus responsible for a pneumonia outbreak originating in Wuhan, China. Microbes Infect 2020; 22:74-79. [PMID: 32017984 PMCID: PMC7102556 DOI: 10.1016/j.micinf.2020.01.003] [Citation(s) in RCA: 192] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 01/24/2020] [Indexed: 11/03/2022]
Abstract
On 10 January 2020, a new coronavirus causing a pneumonia outbreak in Wuhan City in central China was denoted as 2019-nCoV by the World Health Organization (WHO). As of 24 January 2020, there were 887 confirmed cases of 2019-nCoV infection, including 26 deaths, reported in China and other countries. Therefore, combating this new virus and stopping the epidemic is a matter of urgency. Here, we focus on advances in research and development of fast diagnosis methods, as well as potential prophylactics and therapeutics to prevent or treat 2019-nCoV infection.
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Affiliation(s)
- Fei Yu
- The College of Life and Sciences, Hebei Agricultural University, Bao Ding, China
| | - Lanying Du
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, USA
| | - David M Ojcius
- Department of Biomedical Sciences, University of the Pacific, School of Dentistry, San Francisco, USA
| | - Chungen Pan
- Guangdong Haid Institute of Animal Husbandry & Veterinary, Haid Research Institute, Guangdong Haid Group Co., Ltd, Guangzhou, China.
| | - Shibo Jiang
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, USA; Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Fudan University, Shanghai, China.
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Swiner DJ, Jackson S, Burris BJ, Badu-Tawiah AK. Applications of Mass Spectrometry for Clinical Diagnostics: The Influence of Turnaround Time. Anal Chem 2020; 92:183-202. [PMID: 31671262 PMCID: PMC7896279 DOI: 10.1021/acs.analchem.9b04901] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
This critical review discusses how the need for reduced clinical turnaround times has influenced chemical instrumentation. We focus on the development of modern mass spectrometry (MS) and its application in clinical diagnosis. With increased functionality that takes advantage of novel front-end modifications and computational capabilities, MS can now be used for non-traditional clinical analyses, including applications in clinical microbiology for bacteria differentiation and in surgical operation rooms. We summarize here recent developments in the field that have enabled such capabilities, which include miniaturization for point-of-care testing, direct complex mixture analysis via ambient ionization, chemical imaging and profiling, and systems integration.
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Affiliation(s)
- Devin J. Swiner
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210
| | - Sierra Jackson
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210
| | - Benjamin J. Burris
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210
| | - Abraham K. Badu-Tawiah
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210
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Xiu L, Zhang C, Li Y, Wang F, Peng J. Simultaneous detection of eleven sexually transmitted agents using multiplexed PCR coupled with MALDI-TOF analysis. Infect Drug Resist 2019; 12:2671-2682. [PMID: 31695443 PMCID: PMC6717854 DOI: 10.2147/idr.s219580] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Accepted: 08/10/2019] [Indexed: 01/02/2023] Open
Abstract
Purpose Sexually transmitted infections (STIs), representing a major global health problem, are caused by different microbes, including bacteria, viruses, and protozoa. Unfortunately, infections of different sexually transmitted pathogens often present similar clinical symptoms, so it is almost impossible to distinguish them clinically. Therefore, the aim of the current study was to develop a sensitive, multitarget, and high-throughput method that can detect various agents responsible for STIs. Methods We developed and tested a 23-plex PCR coupled with matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry (MS) assay (sexually transmitted infection-mass spectrometry, STI-MS) that simultaneously targets 11 different agents, including 8 most common clinical pathogens related to STIs (HSV-1, HSV-2, Neisseria gonorrhoeae, Chlamydia trachomatis, Treponema pallidum, Trichomonas vaginalis, Mycoplasma genitalium, and Haemophilus ducreyi) and 3 controversial microorganisms as pathogens (Mycoplasma hominis, Ureaplasma urealyticum, and Ureaplasma parvum). Results The results showed that the STI-MS approach can accurately detect the expected agents, without cross-reaction with other organisms. The limit of detection of each STI-MS assay was ranged from 1.739 to 10.009 copies/reaction, using probit analyses. The verification rate for each target organism of the STI-MS ranged from a minimum of 89.3% to a maximum of 100%, using conventional assays and ultrasensitive digital PCR to confirm the STI-MS-positive results. To further evaluate the clinical performance of this assay, 241 clinical specimens (124 urethral/cervical swabs and 117 urine) were tested in parallel using the STI-MS assay and monoplex real-time PCR for each agent. The overall validation parameters of STI-MS were extremely high including sensitivity (from 85.7% to 100%), specificity (from 92.3% to 100%), PPV (from 50% to 100%), and NPV (from 99.1% to 100%) for each target. Conclusion STI-MS is a useful high-throughput screening tool for detecting mixed infections of STIs and has great potential for application in large-scale epidemiological programs for specific microorganisms of STI.
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Affiliation(s)
- Leshan Xiu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
| | - Chi Zhang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
| | - Yamei Li
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
| | - Feng Wang
- Shenzhen Center for Chronic Disease Control, Shenzhen, People's Republic of China
| | - Junping Peng
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
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Liu N, Wang L, Cai G, Zhang D, Lin J. Establishment of a simultaneous detection method for ten duck viruses using MALDI-TOF mass spectrometry. J Virol Methods 2019; 273:113723. [PMID: 31430495 PMCID: PMC7113782 DOI: 10.1016/j.jviromet.2019.113723] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 08/16/2019] [Accepted: 08/16/2019] [Indexed: 11/17/2022]
Abstract
Rapid screening of infectious viral diseases is the key to ensure healthy development of duck livestock industry. Currently routine viral detection methods are primarily used to detect up to 3 viruses. In this study, matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) was used for simultaneous detection and genotyping of ten viruses in duck, including Duck hepatitis A virus 1 (DHAV-1), DHAV-3, Duck astrovirus 1 (DAstV-1), DAstV-2, Duck reovirus 1 (DRV-1), DRV-2, Tembusu virus (TMUV), Avian influenza virus (AIV), Goose parvovirus (GPV) and Duck enteritis virus (DEV). The low detection limits of this proposed method for ten duck viruses ranged from 1.3 copies/μl to 7.8 copies/μl. The novel detection method with high sensitivity, good specificity and high throughput has the potential to be applied for disease diagnosis and surveillance.
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Affiliation(s)
- Ning Liu
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China
| | - Lei Wang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China
| | - Gaozhe Cai
- Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China
| | - Dabing Zhang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Jianhan Lin
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China; Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China.
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Polymorphisms in CLDN1 are associated with age and differentiation of triple-negative breast cancer patients. Biosci Rep 2019; 39:BSR20181952. [PMID: 30910845 PMCID: PMC6481238 DOI: 10.1042/bsr20181952] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 03/20/2019] [Accepted: 03/24/2019] [Indexed: 12/13/2022] Open
Abstract
Purpose: Triple-negative breast cancer (TNBC) is a highly heterogeneous disease. It is very important to explore novel biomarkers to better clarify the characteristics of TNBC. It has been reported that polymorphisms in claudin 1 (CLDN1) are associated with risk of several cancers. But till now, there is no report about these polymorphisms and TNBC. Patients and methods: Between January 2004 and December 2013, 267 patients with stage I-III primary TNBC were included in our study. We investigated the association between polymorphisms in CLDN1 gene and clinicopathological characteristics or survival of these patients. We used Haploview 4.2 software to identify Tag single nucleotide polymorphisms (SNPs). MassARRAY MALDI-TOF System was used for genotyping. Results: We found that rs10513846 GA genotype was associated with older age [P=0.013, hazard ratios (HR) = 2.231, 95% confidence interval (CI): 1.186-4.195]. Rs10513846 AA genotype carriers were more likely to develop grade 3 tumors (P=0.005, HR = 2.889, 95% CI: 1.389-6.007). And rs9283658 genotypes were also related to grade, more patients with grade 3 tumors were rs9283658 CC genotype carriers (P=0.023, HR = 0.446, 95% CI: 0.222-0.894). There was no association between polymorphisms in CLDN1 and survival of TNBC patients. After multivariate analysis, tumor size (P=0.021, HR = 3.146, 95% CI: 1.185-8.354) and lymph node status (P<0.001, HR = 10.930, 95% CI: 3.276-36.470) were demonstrated to be independent prognostic factors. Conclusion: We first demonstrated that polymorphisms in CLDN1 gene were associated with age and differentiation of TNBC patients.
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Liao Y, Liao Y, Li J, Li J, Fan Y, Xu B. Polymorphisms in AURKA and AURKB are associated with the survival of triple-negative breast cancer patients treated with taxane-based adjuvant chemotherapy. Cancer Manag Res 2018; 10:3801-3808. [PMID: 30288111 PMCID: PMC6159783 DOI: 10.2147/cmar.s174735] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Purpose Triple-negative breast cancer (TNBC) is more than a single disease. Identifying biomarkers to further subdivide TNBC patients with distinct outcome is of great importance. It has been reported that single-nucleotide polymorphisms (SNPs) in Aurora kinase A (AURKA) or Aurora kinase B (AURKB) are associated with the risk and survival of several cancers. But till now, there is no research about these polymorphisms in TNBC patients. Materials and methods In this study, we investigated the association between polymorphisms in AURKA or AURKB gene and prognosis of TNBC patients treated with taxane-based adjuvant chemotherapy. A total of 273 TNBC patients were enrolled. Haploview 4.2 software was used to identify Tag SNPs. Genotyping was conducted using the MassARRAY MALDI-TOF system. Results We found that AURKA rs6099128 GG genotype carriers had significantly worse overall survival (OS) than TT+ TG genotype carriers (P = 0.003, HR = 12.499, 95% CI = 2.357–66.298). AURKB rs11651993 TT genotype carriers had better disease-free survival (DFS) than TC + CC genotype carriers (P = 0.018, HR = 1.876, 95% CI = 1.116–3.154). AURKB rs2289590 CC genotype carriers had worse DFS than CA + AA genotype carriers (P = 0.021, HR = 0.536, 95% CI = 0.315–0.912). After subgroup analysis, rs11651993 TC + CC genotype predicted worse DFS in subgroups of age ≤ 50, post-menopausal, grade unknown (UK), tumor size >2 cm, and lymph node negative. Rs2289590 CA + AA genotype could predict favorable DFS in pre-menopausal, grade 3 and lymph node-positive patients. Conclusion We first demonstrated that polymorphisms in AURKA or AURKB gene might predict the OS or DFS of TNBC patients treated with taxane-based adjuvant chemotherapy.
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Affiliation(s)
- Yuqian Liao
- Department of Medical Oncology, Jiangxi Cancer Hospital, Nanchang, Jiangxi Province, People's Republic of China
| | - Yulu Liao
- Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang, Jiangxi Province, People's Republic of China
| | - Jun Li
- Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang, Jiangxi Province, People's Republic of China
| | - Junyu Li
- Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang, Jiangxi Province, People's Republic of China
| | - Ying Fan
- Department of Medical Oncology, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, People's Republic of China, ,
| | - Binghe Xu
- Department of Medical Oncology, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, People's Republic of China, ,
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Kriegsmann J, Casadonte R, Kriegsmann K, Longuespée R, Kriegsmann M. Mass spectrometry in pathology - Vision for a future workflow. Pathol Res Pract 2018; 214:1057-1063. [PMID: 29910062 DOI: 10.1016/j.prp.2018.05.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2017] [Revised: 04/23/2018] [Accepted: 05/11/2018] [Indexed: 02/09/2023]
Abstract
Mass spectrometric (MS) techniques are applied in various areas of medical diagnostics. For the detection of microbiological germs and genetic mutations, MS is a method used in routine. Since MS also allows the analysis of proteins and peptides, it seems an ideal candidate to supplement histopatholological diagnostics. Matrix-assisted laser desorption/ionization time-of-flight Imaging MS links molecular analysis of numerous analytes with morphological information about their spatial distribution in cells or tissues. Herein, we review principle MS techniques as well as potential applications in pathology and discuss our vision for a future workflow.
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Affiliation(s)
- Jörg Kriegsmann
- MVZ for Histology, Cytology and Molecular Diagnostics Trier, Trier, Germany; Proteopath GmbH, Trier, Germany
| | | | - Katharina Kriegsmann
- Department of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Rémi Longuespée
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Mark Kriegsmann
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
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Zhang C, Xiu L, Xiao Y, Xie Z, Ren L, Peng J. Simultaneous Detection of Key Bacterial Pathogens Related to Pneumonia and Meningitis Using Multiplex PCR Coupled With Mass Spectrometry. Front Cell Infect Microbiol 2018; 8:107. [PMID: 29675400 PMCID: PMC5895723 DOI: 10.3389/fcimb.2018.00107] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 03/19/2018] [Indexed: 12/12/2022] Open
Abstract
Pneumonia and meningitis continue to present an enormous public health burden and pose a major threat to young children. Among the causative organisms of pneumonia and meningitis, bacteria are the most common causes of serious disease and deaths. It is challenging to accurately and rapidly identify these agents. To solve this problem, we developed and validated a 12-plex PCR coupled with matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) method (bacterial pathogen-mass spectrometry, BP-MS) that can be used to simultaneously screen for 11 key bacterial pathogens related to pneumonia and meningitis. Forty-six nasopharyngeal swabs and 12 isolates were used to determine the specificity of the method. The results showed that, using the BP-MS method, we could accurately identify the expected bacteria without cross-reactivity with other pathogens. For the 11 target bacterial pathogens, the analytical sensitivity of the BP-MS method was as low as 10 copies/reaction. To further evaluate the clinical effectiveness of this method, 204 nasopharyngeal swabs from hospitalized children with suspected pneumonia were tested using this method. In total, 81.9% (167/204) of the samples were positive for at least one of the 11 target pathogens. Among the 167 bacteria-positive samples, the rate of multiple infections was 55.7% (93/167), and the most frequent combination was Streptococcus pneumoniae with Haemophilus influenzae, representing 46.2% (43/93) two-pathogen mixed infections. We used real-time PCR and nested PCR to confirm positive results, with identical results obtained for 81.4% (136/167) of the samples. The BP-MS method is a sensitive and specific molecular detection technique in a multiplex format and with high sample throughput. Therefore, it will be a powerful tool for pathogen screening and antibiotic selection at an early stage of disease.
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Affiliation(s)
- Chi Zhang
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Leshan Xiu
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yan Xiao
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Christophe Mérieux Laboratory, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhengde Xie
- Key Laboratory of Major Diseases in Children, Ministry of Education, National Key Discipline of Pediatrics, National Clinical Research Center for Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Virology Laboratory, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Lili Ren
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Christophe Mérieux Laboratory, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Junping Peng
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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MERS-CoV: Understanding the Latest Human Coronavirus Threat. Viruses 2018; 10:v10020093. [PMID: 29495250 PMCID: PMC5850400 DOI: 10.3390/v10020093] [Citation(s) in RCA: 150] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 01/28/2018] [Accepted: 02/02/2018] [Indexed: 12/19/2022] Open
Abstract
Human coronaviruses cause both upper and lower respiratory tract infections in humans. In 2012, a sixth human coronavirus (hCoV) was isolated from a patient presenting with severe respiratory illness. The 60-year-old man died as a result of renal and respiratory failure after admission to a hospital in Jeddah, Saudi Arabia. The aetiological agent was eventually identified as a coronavirus and designated Middle East respiratory syndrome coronavirus (MERS-CoV). MERS-CoV has now been reported in more than 27 countries across the Middle East, Europe, North Africa and Asia. As of July 2017, 2040 MERS-CoV laboratory confirmed cases, resulting in 712 deaths, were reported globally, with a majority of these cases from the Arabian Peninsula. This review summarises the current understanding of MERS-CoV, with special reference to the (i) genome structure; (ii) clinical features; (iii) diagnosis of infection; and (iv) treatment and vaccine development.
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Camarasa CG, Cobo F. Application of MALDI-TOF Mass Spectrometry in Clinical Virology. THE USE OF MASS SPECTROMETRY TECHNOLOGY (MALDI-TOF) IN CLINICAL MICROBIOLOGY 2018. [PMCID: PMC7150354 DOI: 10.1016/b978-0-12-814451-0.00012-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-TOF MS) is a diagnostic tool of microbial identification and characterization based on the detection of the mass of molecules. In the majority of clinical laboratories, this technology is currently being used mainly for bacterial diagnosis, but several approaches in the field of virology have been investigated. The introduction of this technology in clinical virology will improve the diagnosis of infections produced by viruses but also the discovery of mutations and variants of these microorganisms as well as the detection of antiviral resistance. This chapter is focused on the main current applications of MALDI-TOF MS techniques in clinical virology showing the state of the art with respect to this exciting new technology.
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