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Chhipa AS, Radadiya E, Patel S. CRISPR-Cas based diagnostic tools: Bringing diagnosis out of labs. Diagn Microbiol Infect Dis 2024; 109:116252. [PMID: 38479094 DOI: 10.1016/j.diagmicrobio.2024.116252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 04/30/2024]
Abstract
Timely detection is important for the effective management of infectious diseases. Reverse Transcription Polymerase Chain Reaction (RT-PCR) stands as the prime nucleic acid based test that is employed for the detection of infectious diseases. The method ensures sensitivity and specificity. However, RT-PCR is a relatively expensive technique due to the requirement of costly equipment and reagents. Further, it requires skilled personnel and established laboratories that are usually inaccessible in underdeveloped areas. On the other hand, rapid antigen based techniques are cost effective and easily accessible, but are less effective in terms of sensitivity and specificity. CRISPR-Cas systems are advanced diagnostic tools that combine the advantages of both PCR and antigen based detection techniques, and allows the rapid detection with high sensitivity/specificity. The present review aims to discuss the applicability of CRISPR-Cas based diagnostic tools for the infectious disease detection. The review further attempts to highlight the current limitations and future research directions to improve the CRISPR based diagnostic tools for rapid and effective disease detection.
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Affiliation(s)
- Abu Sufiyan Chhipa
- Department of Pharmacology, Institute of Pharmacy, Nirma University, India
| | - Ekta Radadiya
- Department of Pharmacology, Institute of Pharmacy, Nirma University, India
| | - Snehal Patel
- Department of Pharmacology, Institute of Pharmacy, Nirma University, India.
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2
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Sun Q, Lin H, Li Y, Yuan L, Li B, Ma Y, Wang H, Deng X, Chen H, Tang S. A photocontrolled one-pot isothermal amplification and CRISPR-Cas12a assay for rapid detection of SARS-CoV-2 Omicron variants. Microbiol Spectr 2024; 12:e0364523. [PMID: 38319081 PMCID: PMC10913417 DOI: 10.1128/spectrum.03645-23] [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: 10/14/2023] [Accepted: 01/03/2024] [Indexed: 02/07/2024] Open
Abstract
CRISPR-Cas technology has widely been applied to detect single-nucleotide mutation and is considered as the next generation of molecular diagnostics. We previously reported the combination of nucleic acid amplification (NAA) and CRISPR-Cas12a system to distinguish major severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. However, the mixture of NAA and CRISPR-Cas12a reagents in one tube could interfere with the efficiency of NAA and CRISPR-Cas12a cleavage, which in turn affects the detection sensitivity. In the current study, we employed a novel photoactivated CRISPR-Cas12a strategy integrated with recombinase polymerase amplification (RPA) to develop one-pot RPA/CRISPR-Cas12a genotyping assay for detecting SARS-CoV-2 Omicron sub-lineages. The new system overcomes the potential inhibition of RPA due to early CRISPR-Cas12a activation and cleavage of the target template in traditional one-pot assay using photocleavable p-RNA, a complementary single-stranded RNA to specifically bind crRNA and precisely block Cas12a activation. The detection can be finished in one tube at 39℃ within 1 h and exhibits a low limit of detection of 30 copies per reaction. Our results demonstrated that the photocontrolled one-pot RPA/CRISPR-Cas12a assay could effectively identify three signature mutations in the spike gene of SARS-CoV-2 Omicron variant, namely, R346T, F486V, and 49X, and distinguish Omicron BA.1, BA.5.2, and BF.7 sub-lineages. Furthermore, the assay achieved a sensitivity of 97.3% and a specificity of 100.0% and showed a concordance of 98.3% with Sanger sequencing results.IMPORTANCEWe successfully developed one-pot recombinase polymerase amplification/CRISPR-Cas12a genotyping assay by adapting photocontrolled CRISPR-Cas technology to optimize the conditions of nucleic acid amplification and CRISPR-Cas12a-mediated detection. This innovative approach was able to quickly distinguish severe acute respiratory syndrome coronavirus 2 Omicron variants and can be readily modified for detecting any nucleic acid mutations. The assay system demonstrates excellent clinical performance, including rapid detection, user-friendly operations, and minimized risk of contamination, which highlights its promising potential as a point-of-care testing for wide applications in resource-limiting settings.
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Affiliation(s)
- Qian Sun
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Hongqing Lin
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Yuan Li
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Liping Yuan
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Baisheng Li
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Guangzhou, China
| | - Yunan Ma
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Haiying Wang
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaoling Deng
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Guangzhou, China
| | - Hongliang Chen
- Department of Clinical Microbiology Laboratory, Chenzhou No. 1 People’s Hospital, Chenzhou, China
| | - Shixing Tang
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
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3
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Morshedzadeh F, Ghanei M, Lotfi M, Ghasemi M, Ahmadi M, Najari-Hanjani P, Sharif S, Mozaffari-Jovin S, Peymani M, Abbaszadegan MR. An Update on the Application of CRISPR Technology in Clinical Practice. Mol Biotechnol 2024; 66:179-197. [PMID: 37269466 PMCID: PMC10239226 DOI: 10.1007/s12033-023-00724-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 03/13/2023] [Indexed: 06/05/2023]
Abstract
The CRISPR/Cas system, an innovative gene-editing tool, is emerging as a promising technique for genome modifications. This straightforward technique was created based on the prokaryotic adaptive immune defense mechanism and employed in the studies on human diseases that proved enormous therapeutic potential. A genetically unique patient mutation in the process of gene therapy can be corrected by the CRISPR method to treat diseases that traditional methods were unable to cure. However, introduction of CRISPR/Cas9 into the clinic will be challenging because we still need to improve the technology's effectiveness, precision, and applications. In this review, we first describe the function and applications of the CRISPR-Cas9 system. We next delineate how this technology could be utilized for gene therapy of various human disorders, including cancer and infectious diseases and highlight the promising examples in the field. Finally, we document current challenges and the potential solutions to overcome these obstacles for the effective use of CRISPR-Cas9 in clinical practice.
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Affiliation(s)
- Firouzeh Morshedzadeh
- Department of Genetics, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahmoud Ghanei
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Malihe Lotfi
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Morteza Ghasemi
- Cellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran
| | - Mohsen Ahmadi
- Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Parisa Najari-Hanjani
- Department of Medical Genetics, Faculty of Advanced Technologies in Medicine, Golestan University of Medical Science, Gorgan, Iran
| | - Samaneh Sharif
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sina Mozaffari-Jovin
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Maryam Peymani
- Department of Genetics, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
| | - Mohammad Reza Abbaszadegan
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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Ma L, Zhu M, Meng Q, Wang Y, Wang X. Real-time detection of Seneca Valley virus by one-tube RPA-CRISPR/Cas12a assay. Front Cell Infect Microbiol 2024; 13:1305222. [PMID: 38259970 PMCID: PMC10800940 DOI: 10.3389/fcimb.2023.1305222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Introduction Senecavirus A (SVA) is a highly contagious virus that causes vesicular disease in pigs. At present, laboratory detection methods, such as virus isolation and polymerase chain reaction (PCR), required precision instruments and qualified personnel, making them unsuitable for point-of-care tests (POCT). Fortunately, the emergence of CRISPR/Cas system has provided new opportunities for fast and efficient pathogen detection. Methods This study successfully developed a precise and sensitive detection platform for diagnosing SVA by combining the CRISPR system with recombinase polymerase amplification (RPA). Results The minimum detection limit of the assay was 10 copies of the SVA genome. Meanwhile, the assay demonstrated high specificity. To validate the effectiveness of this system, we tested 85 swine clinical samples and found that the fluorescence method had a 100% coincidence rate compared to RT-qPCR. Discussion Overall, the RPA-CRISPR/Cas12a assay established in our study is a highly effective method for detecting SVA and holds great potential for practical applications in the resource-limited settings.
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Affiliation(s)
- Lei Ma
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
- College of Life Science, Henan University, Kaifeng, China
| | - Mengjie Zhu
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
| | - Qingfeng Meng
- Testing Technology R&D Department, Shanghai Kaiwosha Biotechnology Co., Ltd, Shanghai, China
| | - Yao Wang
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
| | - Xueping Wang
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
- College of Life Science, Henan University, Kaifeng, China
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5
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Gao P, Fan Y, Kong X, Zhang R, Chen L, Jiang Y, Liu Y, Zhao M, Deng G, Cao Y, Ma L. A novel assay based on DNA melting temperature for multiplexed identification of SARS-CoV-2 and influenza A/B viruses. Front Microbiol 2023; 14:1249085. [PMID: 38173675 PMCID: PMC10762780 DOI: 10.3389/fmicb.2023.1249085] [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: 06/28/2023] [Accepted: 11/20/2023] [Indexed: 01/05/2024] Open
Abstract
Introduction The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and influenza viruses can cause respiratory illnesses with similar clinical symptoms, making their differential diagnoses challenging. Additionally, in critically ill SARS-CoV-2-infected patients, co-infections with other respiratory pathogens can lead to severe cytokine storm and serious complications. Therefore, a method for simultaneous detection of SARS-CoV-2 and influenza A and B viruses will be clinically beneficial. Methods We designed an assay to detect five gene targets simultaneously via asymmetric PCR-mediated melting curve analysis in a single tube. We used specific probes that hybridize to corresponding single-stranded amplicons at low temperature and dissociate at high temperature, creating different detection peaks representing the targets. The entire reaction was conducted in a closed tube, which minimizes the risk of contamination. The limit of detection, specificity, precision, and accuracy were determined. Results The assay exhibited a limit of detection of <20 copies/μL for SARS-CoV-2 and influenza A and <30 copies/μL for influenza B, with high reliability as demonstrated by a coefficient of variation for melting temperature of <1.16% across three virus concentrations. The performance of our developed assay and the pre-determined assay showed excellent agreement for clinical samples, with kappa coefficients ranging from 0.98 (for influenza A) to 1.00 (for SARS-CoV-2 and influenza B). No false-positive, and no cross-reactivity was observed with six common non-influenza respiratory viruses. Conclusion The newly developed assay offers a straightforward, cost-effective and nucleic acid contamination-free approach for simultaneous detection of the SARS-CoV-2, influenza A, and influenza B viruses. The method offers high analytical sensitivity, reliability, specificity, and accuracy. Its use will streamline testing for co-infections, increase testing throughput, and improve laboratory efficacy.
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Affiliation(s)
- Peng Gao
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Yanyan Fan
- Laboratory of Clinical Microbiology and Infectious Diseases, Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Xiaomu Kong
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Rui Zhang
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Lida Chen
- Department of Blood Transfusion, China-Japan Friendship Hospital, Beijing, China
| | - Yongwei Jiang
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Yi Liu
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Meimei Zhao
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Guoxiong Deng
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Yongtong Cao
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Liang Ma
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
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Wang L, Zhang T, Huo J, Wang Y, Lu Y, Zhu X. Rapid and specific detection of Enterococcus faecium with an isothermal amplification and lateral flow strip combined method. Arch Microbiol 2023; 206:28. [PMID: 38112880 DOI: 10.1007/s00203-023-03758-8] [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: 09/18/2023] [Revised: 11/17/2023] [Accepted: 11/17/2023] [Indexed: 12/21/2023]
Abstract
Enterococcus faecium is responsible for a highly contagious, drug-resistant nosocomial infection that often causes serious illness. In this study, a rapid and sensitive RPA-LFS (recombinase polymerase amplification-lateral flow strip) method for the detection of E. faecium was established based on specific primers and probes designed using the ddl gene. To verify the specificity and sensitivity of the method, 26 specific strains and 100-106 CFU/μL E. faecium were selected for detection. The results show that the proposed method can specifically detect E. faecium, and the minimum detection limit is 100 CFU/μL. To compare the clinical application of the method with qPCR, 181 clinical samples were collected for testing. RPA-LFS and qPCR had the same practical applicability, and 61 parts of E. faecium were detected in 183 clinical samples. The methods developed in this study not only have the advantages of rapid sensitivity and specificity but also meet the needs of remote areas with scarce medical resources.
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Affiliation(s)
- Lei Wang
- Central Laboratory of Hospital, The First People's Hospital of Lianyungang, Xuzhou Medical University Affiliated Hospital, Lianyungang, China
| | - Ting Zhang
- Central Laboratory of Hospital, The First People's Hospital of Lianyungang, Xuzhou Medical University Affiliated Hospital, Lianyungang, China
| | - Juan Huo
- Central Laboratory of Hospital, The First People's Hospital of Lianyungang, Xuzhou Medical University Affiliated Hospital, Lianyungang, China
| | - Yan Wang
- Department of Oncology, Lianyungang Second People's Hospital (Lianyungang Hospital Affiliated to Jiangsu University), Lianyungang, China
- Department of Laboratory Medicine, Lianyungang Second People's Hospital (Lianyungang Hospital Affiliated to Jiangsu University), Lianyungang, China
| | - Yingzhi Lu
- Department of Oncology, Lianyungang Second People's Hospital (Lianyungang Hospital Affiliated to Jiangsu University), Lianyungang, China
- Department of Laboratory Medicine, Lianyungang Second People's Hospital (Lianyungang Hospital Affiliated to Jiangsu University), Lianyungang, China
| | - Xinming Zhu
- Department of Laboratory Medicine, Lianyungang Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, Lianyungang, China.
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7
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Ding Y, Huang Z, Li X, Tang M, Li W, Feng S, Zhao L, Zhang J, Yuan S, Shan F, Jiao P. Development of a reverse transcription loop-mediated isothermal amplification based clustered regularly interspaced short palindromic repeats Cas12a assay for duck Tembusu virus. Front Microbiol 2023; 14:1301653. [PMID: 38098674 PMCID: PMC10720249 DOI: 10.3389/fmicb.2023.1301653] [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: 09/25/2023] [Accepted: 11/15/2023] [Indexed: 12/17/2023] Open
Abstract
Duck Tembusu virus (DTMUV) is an emerging pathogen that poses a serious threat to the duck industry in China. Currently, polymerase chain reaction (PCR), quantitative PCR (qPCR) and reverse transcription loop-mediated isothermal amplification (RT-LAMP) are commonly used for DTMUV detection. However, these methods require complex steps and special equipment and easily cause false-positive results. Therefore, we urgently need to establish a simple, sensitive and specific method for the clinical field detection of DTMUV. In this study, we developed an RT-LAMP-based CRISPR-Cas12a assay targeting the C gene to detect DTMUV with a limited detection of 3 copies/μL. This assay was specific for DTMUV without cross-reaction with other common avian viruses and only required some simple pieces of equipment, such as a thermostat water bath and blue/UV light transilluminator. Furthermore, this assay showed 100% positive predictive agreement (PPA) and negative predictive agreement (NPA) relative to SYBR Green qPCR for DTMUV detection in 32 cloacal swabs and 22 tissue samples, supporting its application for clinical field detection.
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Affiliation(s)
- Yangbao Ding
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, Guangzhou, China
| | - Zhanhong Huang
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
| | - Xinbo Li
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
| | - Mei Tang
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
| | - Weiqiang Li
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
| | - Siyu Feng
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
| | - Luxiang Zhao
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
| | - Junsheng Zhang
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
| | - Shichao Yuan
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
| | - Fen Shan
- Guangzhou Collaborative Innovation Center on Science-Tech of Ecology and Landscape, Guangzhou Zoo, Guangzhou, China
| | - Peirong Jiao
- College of Veterinary Medicine, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, Guangzhou, China
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8
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Mungkalasut P, Nimsamer P, Cheepsunthorn P, Payungporn S, Cheepsunthorn CL. Single-Drop Blood Detection of Common G6PD Mutations in Thailand Based on Allele-Specific Recombinase Polymerase Amplification with CRISPR-Cas12a. ACS OMEGA 2023; 8:44733-44744. [PMID: 38046356 PMCID: PMC10688097 DOI: 10.1021/acsomega.3c05596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/13/2023] [Accepted: 11/01/2023] [Indexed: 12/05/2023]
Abstract
Glucose 6-phosphate dehydrogenase (G6PD) deficiency is the most common inherited enzymopathy. Identification of the G6PD deficiency through screening is crucial to preventing adverse effects associated with hemolytic anemia following antimalarial drug exposure. Therefore, a rapid and precise field-based G6PD deficiency diagnosis is required, particularly in rural regions where malaria is prevalent. The phenotypic diagnosis of the G6PD intermediate has also been a challenging issue due to the overlapping of G6PD activity levels between deficient and normal individuals, leading to a misinterpretation. The availability of an accurate point-of-care testing (POCT) for G6PD genotype diagnosis will therefore increase the opportunity for screening heterozygous cases in a low-resource setting. In this study, an allele-specific recombinase polymerase amplification (AS RPA) with clustered regularly interspaced short palindromic repeats-Cas12a (CRISPR-Cas12a) was developed as a POCT for accurate diagnosis of common G6PD mutations in Thailand. The AS primers for the wild type and mutant alleles of G6PD MahidolG487A and G6PD ViangchanG871A were designed and used in RPA reactions. Following application of CRISPR-Cas12a systems containing specific protospacer adjacent motif, the targeted RPA amplicons were visualized with the naked eye. Results demonstrated that the G6PD MahidolG487A and G6PD ViangchanG871A assays reached 93.62 and 98.15% sensitivity, respectively. The specificity was 88.71% in MahidolG487A and 99.02% in G6PD ViangchanG871A. The diagnosis accuracy of the G6PD MahidolG487A and G6PD ViangchanG871A assays was 91.67 and 98.72%, respectively. From DNA extraction to detection, the assay required approximately 52 min. In conclusion, this study demonstrated the high performance of an AS RPA with the CRISPR-Cas12a platform for G6PD MahidolG487A and G6PD ViangchanG871A detection assays and the potential use of G6PD genotyping as POCT.
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Affiliation(s)
- Punchalee Mungkalasut
- Interdisciplinary
Program of Biomedical Sciences, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand
- Department
of Biochemistry, Faculty of Medicine, Chulalongkorn
University, Bangkok 10330, Thailand
| | - Pattaraporn Nimsamer
- Center
of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Poonlarp Cheepsunthorn
- Department
of Anatomy, Faculty of Medicine, Chulalongkorn
University, Bangkok 10330, Thailand
| | - Sunchai Payungporn
- Department
of Biochemistry, Faculty of Medicine, Chulalongkorn
University, Bangkok 10330, Thailand
- Center
of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
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9
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Lei Z, Lian L, Zhang L, Liu C, Zhai S, Yuan X, Wei J, Liu H, Liu Y, Du Z, Gul I, Zhang H, Qin Z, Zeng S, Jia P, Du K, Deng L, Yu D, He Q, Qin P. Detection of Frog Virus 3 by Integrating RPA-CRISPR/Cas12a-SPM with Deep Learning. ACS OMEGA 2023; 8:32555-32564. [PMID: 37720737 PMCID: PMC10500685 DOI: 10.1021/acsomega.3c02929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/03/2023] [Indexed: 09/19/2023]
Abstract
A fast, easy-to-implement, highly sensitive, and point-of-care (POC) detection system for frog virus 3 (FV3) is proposed. Combining recombinase polymerase amplification (RPA) and CRISPR/Cas12a, a limit of detection (LoD) of 100 aM (60.2 copies/μL) is achieved by optimizing RPA primers and CRISPR RNAs (crRNAs). For POC detection, smartphone microscopy is implemented, and an LoD of 10 aM is achieved in 40 min. The proposed system detects four positive animal-derived samples with a quantitation cycle (Cq) value of quantitative PCR (qPCR) in the range of 13 to 32. In addition, deep learning models are deployed for binary classification (positive or negative samples) and multiclass classification (different concentrations of FV3 and negative samples), achieving 100 and 98.75% accuracy, respectively. Without temperature regulation and expensive equipment, the proposed RPA-CRISPR/Cas12a combined with smartphone readouts and artificial-intelligence-assisted classification showcases the great potential for FV3 detection, specifically POC detection of DNA virus.
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Affiliation(s)
- Zhengyang Lei
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Lijin Lian
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Likun Zhang
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Changyue Liu
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Shiyao Zhai
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Xi Yuan
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Jiazhang Wei
- Department
of Otolaryngology & Head and Neck, The
People’s Hospital of Guangxi Zhuang Autonomous Region, Guangxi
Academy of Medical Sciences, 6 Taoyuan Road, Nanning, 530021, China
| | - Hong Liu
- Animal
and Plant Inspection and Quarantine Technical Centre, Shenzhen Exit and Entry Inspection and Quarantine Bureau, Shenzhen, Guangdong Province 518045, China
| | - Ying Liu
- Animal
and Plant Inspection and Quarantine Technical Centre, Shenzhen Exit and Entry Inspection and Quarantine Bureau, Shenzhen, Guangdong Province 518045, China
| | - Zhicheng Du
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Ijaz Gul
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Haihui Zhang
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Zhifeng Qin
- Animal
and Plant Inspection and Quarantine Technology Center, Shenzhen Customs, Shenzhen, Guangdong Province 518033, China
| | - Shaoling Zeng
- Animal
and Plant Inspection and Quarantine Technology Center, Shenzhen Customs, Shenzhen, Guangdong Province 518033, China
| | - Peng Jia
- Quality and
Standards Academy, Shenzhen Technology University, Shenzhen 518118, China
| | - Ke Du
- Department
of Chemical and Environmental Engineering, University of California, Riverside, California 92521, United States
| | - Lin Deng
- Shenzhen
Bay Laboratory, Shenzhen 518132, China
| | - Dongmei Yu
- School
of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Shandong 264209, China
| | - Qian He
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
| | - Peiwu Qin
- Center
of Precision Medicine and Healthcare, Tsinghua-Berkeley
Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Tsinghua
Shenzhen International Graduate School, Institute of Biopharmaceutics and Health Engineering, Shenzhen, Guangdong Province 518055, China
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10
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Low ZY, Wong KH, Wen Yip AJ, Choo WS. The convergent evolution of influenza A virus: Implications, therapeutic strategies and what we need to know. CURRENT RESEARCH IN MICROBIAL SCIENCES 2023; 5:100202. [PMID: 37700857 PMCID: PMC10493511 DOI: 10.1016/j.crmicr.2023.100202] [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: 09/14/2023] Open
Abstract
Influenza virus infection, more commonly known as the 'cold flu', is an etiological agent that gives rise to recurrent annual flu and many pandemics. Dated back to the 1918- Spanish Flu, the influenza infection has caused the loss of many human lives and significantly impacted the economy and daily lives. Influenza virus can be classified into four different genera: influenza A-D, with the former two, influenza A and B, relevant to humans. The capacity of antigenic drift and shift in Influenza A has given rise to many novel variants, rendering vaccines and antiviral therapies useless. In light of the emergence of a novel betacoronavirus, the SARS-CoV-2, unravelling the underpinning mechanisms that support the recurrent influenza epidemics and pandemics is essential. Given the symptom similarities between influenza and covid infection, it is crucial to reiterate what we know about the influenza infection. This review aims to describe the origin and evolution of influenza infection. Apart from that, the risk factors entail the implication of co-infections, especially regarding the COVID-19 pandemic is further discussed. In addition, antiviral strategies, including the potential of drug repositioning, are discussed in this context. The diagnostic approach is also critically discussed in an effort to understand better and prepare for upcoming variants and potential influenza pandemics in the future. Lastly, this review encapsulates the challenges in curbing the influenza spread and provides insights for future directions in influenza management.
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Affiliation(s)
- Zheng Yao Low
- School of Science, Monash University Malaysia, 47500 Subang Jaya, Selangor, Malaysia
| | - Ka Heng Wong
- School of Science, Monash University Malaysia, 47500 Subang Jaya, Selangor, Malaysia
| | - Ashley Jia Wen Yip
- School of Science, Monash University Malaysia, 47500 Subang Jaya, Selangor, Malaysia
| | - Wee Sim Choo
- School of Science, Monash University Malaysia, 47500 Subang Jaya, Selangor, Malaysia
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11
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Chen SJ, Rai CI, Wang SC, Chen YC. Point-of-Care Testing for Infectious Diseases Based on Class 2 CRISPR/Cas Technology. Diagnostics (Basel) 2023; 13:2255. [PMID: 37443646 PMCID: PMC10340307 DOI: 10.3390/diagnostics13132255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 06/25/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
The early detection of infectious diseases and microorganisms is critical for effective disease treatment, control, and prevention. Currently, nucleic acid testing and antigen-antibody serum reaction are the two methods most commonly used for the detection of infectious diseases. The former is highly accurate, specific, and sensitive, but it is time-consuming, expensive, and has special technician and instrument requirements. The latter is rapid and economical, but it may not be accurate and sensitive enough. Therefore, it is necessary to develop a quick and on-site diagnostic test for point-of-care testing (POCT) to enable the clinical detection of infectious diseases that is accurate, sensitive, convenient, cheap, and portable. Here, CRISPR/Cas-based detection methods are detailed and discussed in depth. The powerful capacity of these methods will facilitate the development of diagnostic tools for POCT, though they still have some limitations. This review explores and highlights POCT based on the class 2 CRISPR/Cas assay, such as Cas12 and Cas13 proteins, for the detection of infectious diseases. We also provide an outlook on perspectives, multi-application scenarios, clinical applications, and limitations for POCT based on class 2 CRISPR/Cas technology.
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Affiliation(s)
- Shiu-Jau Chen
- Department of Neurosurgery, Mackay Memorial Hospital, Taipei 10449, Taiwan;
- Department of Medicine, Mackay Medical College, New Taipei City 25245, Taiwan
| | - Chung-I Rai
- Health Care Business Group, Foxconn Technology Co., Ltd., New Taipei City 23680, Taiwan;
- Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan
| | - Shao-Cheng Wang
- Department of Psychiatric, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan 33004, Taiwan
- Department of Nurse-Midwifery and Women Health, National Taipei University of Nursing and Health Sciences, Taipei 112303, Taiwan
| | - Yuan-Chuan Chen
- Department of Nursing, Jenteh Junior College of Medicine, Nursing and Management, Miaoli County 35664, Taiwan
- Department of Medical Technology, Jenteh Junior College of Medicine, Nursing and Management, Miaoli County 35664, Taiwan
- Program in Comparative Biochemistry, University of California, Berkeley, CA 94720, USA
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12
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Malaga JL, Pajuelo MJ, Okamoto M, Tsinda EK, Otani K, Tsukayama P, Mascaro L, Cuicapuza D, Katsumi M, Kawamura K, Nishimura H, Sakagami A, Ueki Y, Omiya S, Okamoto S, Nakayama A, Fujimaki SI, Yu C, Azam S, Kodama E, Dapat C, Oshitani H, Saito M. Rapid Detection of SARS-CoV-2 RNA Using Reverse Transcription Recombinase Polymerase Amplification (RT-RPA) with Lateral Flow for N-Protein Gene and Variant-Specific Deletion-Insertion Mutation in S-Protein Gene. Viruses 2023; 15:1254. [PMID: 37376555 DOI: 10.3390/v15061254] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/21/2023] [Accepted: 05/24/2023] [Indexed: 06/29/2023] Open
Abstract
Rapid molecular testing for severe acute respiratory coronavirus 2 (SARS-CoV-2) variants may contribute to the development of public health measures, particularly in resource-limited areas. Reverse transcription recombinase polymerase amplification using a lateral flow assay (RT-RPA-LF) allows rapid RNA detection without thermal cyclers. In this study, we developed two assays to detect SARS-CoV-2 nucleocapsid (N) gene and Omicron BA.1 spike (S) gene-specific deletion-insertion mutations (del211/ins214). Both tests had a detection limit of 10 copies/µL in vitro and the detection time was approximately 35 min from incubation to detection. The sensitivities of SARS-CoV-2 (N) RT-RPA-LF by viral load categories were 100% for clinical samples with high (>9015.7 copies/µL, cycle quantification (Cq): < 25) and moderate (385.5-9015.7 copies/µL, Cq: 25-29.9) viral load, 83.3% for low (16.5-385.5 copies/µL, Cq: 30-34.9), and 14.3% for very low (<16.5 copies/µL, Cq: 35-40). The sensitivities of the Omicron BA.1 (S) RT-RPA-LF were 94.9%, 78%, 23.8%, and 0%, respectively, and the specificity against non-BA.1 SARS-CoV-2-positive samples was 96%. The assays seemed more sensitive than rapid antigen detection in moderate viral load samples. Although implementation in resource-limited settings requires additional improvements, deletion-insertion mutations were successfully detected by the RT-RPA-LF technique.
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Affiliation(s)
- Jose L Malaga
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
| | - Monica J Pajuelo
- Laboratorio Microbiología Molecular, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Michiko Okamoto
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
| | - Emmanuel Kagning Tsinda
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
- Center for Biomedical Innovation, Sinskey Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Kanako Otani
- National Institute of Infectious Diseases, Tokyo 162-8640, Japan
| | - Pablo Tsukayama
- Laboratorio de Genómica Microbiana, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Lucero Mascaro
- Laboratorio Microbiología Molecular, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Diego Cuicapuza
- Laboratorio de Genómica Microbiana, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Masamichi Katsumi
- Sendai City Institute of Health, Sendai 984-0002, Japan
- Sendai Shirayuri Women's College, Sendai 981-3107, Japan
| | | | - Hidekazu Nishimura
- Virus Research Center, Clinical Research Division, Sendai Medical Center, Sendai 983-8520, Japan
| | - Akie Sakagami
- Department of Microbiology, Miyagi Prefectural Institute of Public Health and Environment, Sendai 983-0836, Japan
| | - Yo Ueki
- Department of Microbiology, Miyagi Prefectural Institute of Public Health and Environment, Sendai 983-0836, Japan
| | - Suguru Omiya
- Virus Research Center, Clinical Research Division, Sendai Medical Center, Sendai 983-8520, Japan
| | - Satoshi Okamoto
- Department of Clinical Laboratory, Tohoku Kosai Hospital, Sendai 980-0803, Japan
| | - Asami Nakayama
- Department of Laboratory Medicine, Tohoku University Hospital, Sendai 980-8574, Japan
| | - Shin-Ichi Fujimaki
- Department of Laboratory Medicine, Tohoku University Hospital, Sendai 980-8574, Japan
| | - Chuyao Yu
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
| | - Sikandar Azam
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
| | - Eiichi Kodama
- International Research Institute of Disaster Science, Tohoku University, Sendai 980-8572, Japan
| | - Clyde Dapat
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
- WHO Collaborating Centre for Reference and Research on Influenza, The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Hitoshi Oshitani
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
| | - Mayuko Saito
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
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13
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Zong H, Zhang S, Shang X, Jiang H, Zhao Z, Chen S, Wang X, Wang Y, Jiang Y, Li X, Tan L, Liu P, Lv Q, Li Y. Development of an AlphaLISA assay for sensitive and accurate detection of influenza B virus. Front Med (Lausanne) 2023; 10:1155551. [PMID: 37215702 PMCID: PMC10196263 DOI: 10.3389/fmed.2023.1155551] [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: 01/31/2023] [Accepted: 04/20/2023] [Indexed: 05/24/2023] Open
Abstract
Objective Influenza B virus (IBV) is highly contagious, spreads rapidly, and causes seasonal epidemic respiratory disease in the human population, especially in immunocompromised people and young children. Clinical manifestations in this high-risk population are often more severe than in immunocompetent hosts and sometimes atypical. Therefore, rapid, and accurate detection of IBV is important. Methods An amplified luminescent proximity homogeneous assay linked immunosorbent assay (AlphaLISA) was developed for detection of IBV by optimizing the ratio of IBV antibody-labeled receptor beads, streptavidin-conjugated donor beads and biotinylated IBV antibody, as well as the optimal temperature and time conditions for incubation. Assay sensitivity, specificity and reproducibility were evaluated. A total of 228 throat swab samples and inactivated influenza B virus were tested by AlphaLISA and lateral flow colloidal gold-based immunoassay (LFIA). Results AlphaLISA produced the best results for detection of inactivated influenza B virus when IBV antibody-labeled acceptor beads were 50 μg/ mL, streptavidin-conjugated donor beads were 40 μg/mL, and biotinylated IBV antibody was 0.5 μg/mL at 37°C for 15-10 min. Under these conditions, AlphaLISA had a limit of detection of 0.24 ng/mL for the detection of influenza B nucleoprotein, did not cross react with other common respiratory viruses, and showed good reproducibility with inter-assay coefficient of variation (CV) and intra-assay CV < 5%. The results of 228 clinical throat swab samples showed good agreement between AlphaLISA and LFIA (Kappa = 0.982), and AlphaLISA showed better sensitivity than LFIA for detecting inactivated influenza B virus. Conclusion AlphaLISA showed higher sensitivity and throughput in the detection of IBV and can be used for IBV diagnosis and epidemic control.
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Affiliation(s)
- Huijun Zong
- The PLA 307 Clinical College of Anhui Medical University, The Fifth Clinical Medical College of Anhui Medical University, Hefei, China
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
- Department of Intensive Care Unit, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Shengwei Zhang
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Xueyi Shang
- Department of Intensive Care Unit, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Hua Jiang
- The PLA 307 Clinical College of Anhui Medical University, The Fifth Clinical Medical College of Anhui Medical University, Hefei, China
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Zhongpeng Zhao
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Shaolong Chen
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Xin Wang
- Department of Intensive Care Unit, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Ye Wang
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Yongqiang Jiang
- The PLA 307 Clinical College of Anhui Medical University, The Fifth Clinical Medical College of Anhui Medical University, Hefei, China
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Xinyu Li
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Lingyun Tan
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Peng Liu
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Qingyu Lv
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Yan Li
- The PLA 307 Clinical College of Anhui Medical University, The Fifth Clinical Medical College of Anhui Medical University, Hefei, China
- Department of Intensive Care Unit, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
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14
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Vilca-Alosilla JJ, Candia-Puma MA, Coronel-Monje K, Goyzueta-Mamani LD, Galdino AS, Machado-de-Ávila RA, Giunchetti RC, Ferraz Coelho EA, Chávez-Fumagalli MA. A Systematic Review and Meta-Analysis Comparing the Diagnostic Accuracy Tests of COVID-19. Diagnostics (Basel) 2023; 13:diagnostics13091549. [PMID: 37174941 PMCID: PMC10177430 DOI: 10.3390/diagnostics13091549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/06/2023] [Accepted: 04/11/2023] [Indexed: 05/15/2023] Open
Abstract
In this paper, we present a systematic review and meta-analysis that aims to evaluate the reliability of coronavirus disease diagnostic tests in 2019 (COVID-19). This article seeks to describe the scientific discoveries made because of diagnostic tests conducted in recent years during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Between 2020 and 2021, searches for published papers on the COVID-19 diagnostic were made in the PubMed database. Ninety-nine scientific articles that satisfied the requirements were analyzed and included in the meta-analysis, and the specificity and sensitivity of the diagnostic accuracy were assessed. When compared to serological tests such as the enzyme-linked immunosorbent assay (ELISA), chemiluminescence immunoassay (CLIA), lateral flow immunoassay (LFIA), and chemiluminescent microparticle immunoassay (CMIA), molecular tests such as reverse transcription polymerase chain reaction (RT-PCR), reverse transcription loop-mediated isothermal amplification (RT-LAMP), and clustered regularly interspaced short palindromic repeats (CRISPR) performed better in terms of sensitivity and specificity. Additionally, the area under the curve restricted to the false-positive rates (AUCFPR) of 0.984 obtained by the antiviral neutralization bioassay (ANB) diagnostic test revealed significant potential for the identification of COVID-19. It has been established that the various diagnostic tests have been effectively adapted for the detection of SARS-CoV-2; nevertheless, their performance still must be enhanced to contain potential COVID-19 outbreaks, which will also help contain potential infectious agent outbreaks in the future.
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Affiliation(s)
- Juan Jeferson Vilca-Alosilla
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
- Facultad de Ciencias Farmacéuticas, Bioquímicas y Biotecnológicas, Universidad Católica de Santa María, Arequipa 04000, Peru
| | - Mayron Antonio Candia-Puma
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
- Facultad de Ciencias Farmacéuticas, Bioquímicas y Biotecnológicas, Universidad Católica de Santa María, Arequipa 04000, Peru
| | - Katiusca Coronel-Monje
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
- Facultad de Ciencias Farmacéuticas, Bioquímicas y Biotecnológicas, Universidad Católica de Santa María, Arequipa 04000, Peru
| | - Luis Daniel Goyzueta-Mamani
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
- Sustainable Innovative Biomaterials Department, Le Qara Research Center, Arequipa 04000, Peru
| | - Alexsandro Sobreira Galdino
- Laboratório de Biotecnologia de Microrganismos, Universidade Federal São João Del-Rei, Divinópolis 35501-296, MG, Brazil
| | | | - Rodolfo Cordeiro Giunchetti
- Laboratório de Biologia das Interações Celulares, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
- Instituto Nacional de Ciência e Tecnologia em Doenças Tropicais, INCT-DT, Salvador 40015-970, BA, Brazil
| | - Eduardo Antonio Ferraz Coelho
- Programa de Pós-Graduação em Ciências da Saúde: Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
- Departamento de Patologia Clínica, COLTEC, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Miguel Angel Chávez-Fumagalli
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
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15
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Chang Y, Wang Y, Li W, Wei Z, Tang S, Chen R. Mechanisms, Techniques and Devices of Airborne Virus Detection: A Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20085471. [PMID: 37107752 PMCID: PMC10138381 DOI: 10.3390/ijerph20085471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/13/2023] [Accepted: 04/03/2023] [Indexed: 05/11/2023]
Abstract
Airborne viruses, such as COVID-19, cause pandemics all over the world. Virus-containing particles produced by infected individuals are suspended in the air for extended periods, actually resulting in viral aerosols and the spread of infectious diseases. Aerosol collection and detection devices are essential for limiting the spread of airborne virus diseases. This review provides an overview of the primary mechanisms and enhancement techniques for collecting and detecting airborne viruses. Indoor virus detection strategies for scenarios with varying ventilations are also summarized based on the excellent performance of existing advanced comprehensive devices. This review provides guidance for the development of future aerosol detection devices and aids in the control of airborne transmission diseases, such as COVID-19, influenza and other airborne transmission viruses.
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Affiliation(s)
- Yuqing Chang
- Beijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China; (Y.C.); (Y.W.); (S.T.)
| | - Yuqian Wang
- Beijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China; (Y.C.); (Y.W.); (S.T.)
| | - Wen Li
- Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing 100081, China; (W.L.); (Z.W.)
| | - Zewen Wei
- Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing 100081, China; (W.L.); (Z.W.)
| | - Shichuan Tang
- Beijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China; (Y.C.); (Y.W.); (S.T.)
| | - Rui Chen
- Beijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China; (Y.C.); (Y.W.); (S.T.)
- Correspondence:
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16
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Feng Z, Kong D, Jin W, He K, Zhao J, Liu B, Xu H, Yu X, Feng S. Rapid detection of isocitrate dehydrogenase 1 mutation status in glioma based on Crispr-Cas12a. Sci Rep 2023; 13:5748. [PMID: 37029174 PMCID: PMC10081818 DOI: 10.1038/s41598-023-32957-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 04/05/2023] [Indexed: 04/09/2023] Open
Abstract
The aim is to use Crispr-Cas12a for the rapid detection of the single nucleotide polymorphism (SNP) of isocitrate dehydrogenase 1 (IDH1)-R132H locus and explore the effectiveness and consistency of this method with direct sequencing method for detecting IDH1-R132H of glioma tissue samples. 58 previous frozen tissue and 46 recent fresh tissue samples of adult diffuse glioma were selected to detect IDH1-R132H using Crispr-Cas12a. The results of immunohistochemistry (IHC) and direct sequencing methods were analyzed. We calculated the efficiency index of Crispr-Cas12a and IHC, and analyzed the consistency among Crispr-Cas12a, IHC and direct sequencing method using paired Chi-sequare test and Kappa identity test. We accomplished the rapid detection of IDH1-R132H in 60 min using Crispr-Cas12a. Regarding direct sequencing method as the gold standard, the sensitivity, specificity and consistency rate of Crispr-Cas12a was 91.4%, 95.7% and 93.1% in the frozen sample group, while 96.1%, 89.7% and 92.0% in the fresh sample group, respectively. Kappa test showed good consistency between the two methods (k = 0.858). Crispr-Cas12a can quickly and accurately detect IDH1-R132H and has good stability. It is a promising method to detect IDH1 mutation status intraoperatively.
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Affiliation(s)
- Zhebin Feng
- Senior Department of Neurosurgery, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100089, China
| | - Dongsheng Kong
- Senior Department of Neurosurgery, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100089, China
| | - Wei Jin
- Senior Department of Neurosurgery, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100089, China
| | - Kunyu He
- Senior Department of Neurosurgery, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100089, China
| | - Junyan Zhao
- Senior Department of Neurosurgery, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100089, China
| | - Bin Liu
- Senior Department of Neurosurgery, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100089, China
| | - Hanyun Xu
- Senior Department of Neurosurgery, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100089, China
| | - Xin'guang Yu
- Senior Department of Neurosurgery, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100089, China.
| | - Shiyu Feng
- Senior Department of Neurosurgery, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100089, China.
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17
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Sritong N, Sala de Medeiros M, Basing LA, Linnes JC. Promise and perils of paper-based point-of-care nucleic acid detection for endemic and pandemic pathogens. LAB ON A CHIP 2023; 23:888-912. [PMID: 36688463 PMCID: PMC10028599 DOI: 10.1039/d2lc00554a] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
From HIV and influenza to emerging pathogens like COVID-19, each new infectious disease outbreak has highlighted the need for massively-scalable testing that can be performed outside centralized laboratory settings at the point-of-care (POC) in order to prevent, track, and monitor endemic and pandemic threats. Nucleic acid amplification tests (NAATs) are highly sensitive and can be developed and scaled within weeks while protein-based rapid tests require months for production. Combining NAATs with paper-based detection platforms are promising due to the manufacturability, scalability, and simplicity of each of these components. Typically, paper-based NAATs consist of three sequential steps: sample collection and preparation, amplification of DNA or RNA from pathogens of interest, and detection. However, these exist within a larger ecosystem of sample collection and interpretation workflow, usability, and manufacturability which can be vastly perturbed during a pandemic emergence. This review aims to explore the challenges of paper-based NAATs covering sample-to-answer procedures along with three main types of clinical samples; blood, urine, and saliva, as well as broader operational, scale up, and regulatory aspects of device development and implementation. To fill the technological gaps in paper-based NAATs, a sample-in-result-out system that incorporates the integrated sample collection, sample preparation, and integrated internal amplification control while also balancing needs of users and manufacturability upfront in the early design process is required.
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Affiliation(s)
- Navaporn Sritong
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
| | | | - Laud Anthony Basing
- Department of Medical Diagnostics, Kwame Nkrumah University of Science and Technology, Kumasi, Ashanti, Ghana
| | - Jacqueline C Linnes
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
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18
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Chen W, Chen H, Liu Y, Wei H, Wang Y, Rong Z, Liu X. An integrated fluorescent lateral flow assay for multiplex point-of-care detection of four respiratory viruses. Anal Biochem 2022; 659:114948. [PMID: 36216143 DOI: 10.1016/j.ab.2022.114948] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/24/2022] [Accepted: 10/03/2022] [Indexed: 12/14/2022]
Abstract
This work established a highly sensitive and specific quantum dot nanobeads-based lateral flow assay for multiplex detection of four respiratory virus markers at point of care. The respiratory virus antigens were detected by fluorescent lateral flow strips within 20 min. The limits of detection for SARS-CoV-2 antigen, IAV antigen, IBV antigen, and ADV antigen were 0.01 ng/mL, 0.05 ng/mL, 0.31 ng/mL, and 0.40 ng/mL, respectively, which were superior to that of conventional AuNPs-based colorimetric lateral flow assay. The coefficients of variation of the test strip were 6.09%, 2.24%, 7.92%, and 12.43% for these four antigens, which indicated that the proposed method had good repeatability. The specificity of the detection system was verified by different combinations of these four respiratory viruses and several other respiratory pathogens. These results indicated that this method could simultaneously detect SARS-CoV-2, IAV, IBV and ADV in a short assay time, showing the remarkable potential for the rapid and multiplex detection of respiratory viruses in resource-limited settings.
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Affiliation(s)
- Wenji Chen
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121012, PR China; Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Hong Chen
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Ye Liu
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Hongjuan Wei
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Yunxiang Wang
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Zhen Rong
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China.
| | - Xin Liu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121012, PR China; Jinzhou Medical University Huludao Central Hospital Teaching Base, Huludao, 125001, PR China.
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19
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Zheng X, Li Y, Yuan M, Shen Y, Chen S, Duan G. Rapid detection of HPV16/18 based on a CRISPR-Cas13a/Cas12a dual-channel system. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:5065-5075. [PMID: 36449008 DOI: 10.1039/d2ay01536f] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
PURPOSE cervical cancer is the leading cause of cancer deaths in women in the developing world, with high-risk HPV16 and HPV18 accounting for approximately 70% of all cervical cancers. Early detection of HPV, especially high-risk HPV types, is essential to prevent disease progression. METHODS in this study, we established a highly sensitive and specific nucleic acid assay based on a CRISPR-Cas13a/Cas12a dual-channel system combined with multiplex RAA for rapid detection and typing of HPV16/18, which provides a new idea for cervical cancer screening. To meet the application of field testing, we designed a portable fluorescence imaging assay that can judge the test results directly with the naked eye or through cell phone imaging. RESULTS the lower limit of detection for both HPV16 and HPV18 based on the CRISPR-Cas12a/Cas13a dual-channel assay was 100 copies per μL. The dual-channel assay was validated with 55 clinical samples, showing 97.06% sensitivity, 100% specificity, 100% positive predictive value, and 96.55% negative predictive value. The results of the portable fluorescence imaging assay were fully comparable to those of the real-time fluorescent RAA-based CRISPR-Cas12a/Cas13a dual-channel assay. CONCLUSIONS this developed portable dual gene assay platform may provide new technical support for cervical cancer screening in resource-limited settings.
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Affiliation(s)
- Xue Zheng
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China.
| | - Yuankun Li
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450014, China.
| | - Mingzhu Yuan
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China.
| | - Yue Shen
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China.
| | - Shuaiyin Chen
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China.
| | - Guangcai Duan
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China.
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20
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Patchsung M, Homchan A, Aphicho K, Suraritdechachai S, Wanitchanon T, Pattama A, Sappakhaw K, Meesawat P, Wongsatit T, Athipanyasilp A, Jantarug K, Athipanyasilp N, Buahom J, Visanpattanasin S, Niljianskul N, Chaiyen P, Tinikul R, Wichukchinda N, Mahasirimongkol S, Sirijatuphat R, Angkasekwinai N, Crone MA, Freemont PS, Joung J, Ladha A, Abudayyeh O, Gootenberg J, Zhang F, Chewapreecha C, Chanarat S, Horthongkham N, Pakotiprapha D, Uttamapinant C. A Multiplexed Cas13-Based Assay with Point-of-Care Attributes for Simultaneous COVID-19 Diagnosis and Variant Surveillance. CRISPR J 2022; 6:99-115. [PMID: 36367987 PMCID: PMC7614457 DOI: 10.1089/crispr.2022.0048] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Point-of-care (POC) nucleic acid detection technologies are poised to aid gold-standard technologies in controlling the COVID-19 pandemic, yet shortcomings in the capability to perform critically needed complex detection-such as multiplexed detection for viral variant surveillance-may limit their widespread adoption. Herein, we developed a robust multiplexed clustered regularly interspaced short palindromic repeats (CRISPR)-based detection using LwaCas13a and PsmCas13b to simultaneously diagnose severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and pinpoint the causative SARS-CoV-2 variant of concern (VOC)-including globally dominant VOCs Delta (B.1.617.2) and Omicron (B.1.1.529)-all the while maintaining high levels of accuracy upon the detection of multiple SARS-CoV-2 gene targets. The platform has several attributes suitable for POC use: premixed, freeze-dried reagents for easy use and storage; convenient direct-to-eye or smartphone-based readouts; and a one-pot variant of the multiplexed detection. To reduce reliance on proprietary reagents and enable sustainable use of such a technology in low- and middle-income countries, we locally produced and formulated our own recombinase polymerase amplification reaction and demonstrated its equivalent efficiency to commercial counterparts. Our tool-CRISPR-based detection for simultaneous COVID-19 diagnosis and variant surveillance that can be locally manufactured-may enable sustainable use of CRISPR diagnostics technologies for COVID-19 and other diseases in POC settings.
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Affiliation(s)
- Maturada Patchsung
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom
| | - Aimorn Homchan
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom.,Department of Biochemistry and Center for Excellence in Protein and Enzyme Technology, Faculty of Science, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Kanokpol Aphicho
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom
| | - Surased Suraritdechachai
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom
| | - Thanyapat Wanitchanon
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom.,Division of Genomic Medicine and Innovation Support, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand; Hinxton, United Kingdom
| | - Archiraya Pattama
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Khomkrit Sappakhaw
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom
| | - Piyachat Meesawat
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom
| | - Thanakrit Wongsatit
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom
| | - Artittaya Athipanyasilp
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom.,Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Krittapas Jantarug
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom
| | - Niracha Athipanyasilp
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Juthamas Buahom
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Supapat Visanpattanasin
- Department of Biochemistry and Center for Excellence in Protein and Enzyme Technology, Faculty of Science, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | | | - Pimchai Chaiyen
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom
| | - Ruchanok Tinikul
- Department of Biochemistry and Center for Excellence in Protein and Enzyme Technology, Faculty of Science, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Nuanjun Wichukchinda
- Division of Genomic Medicine and Innovation Support, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand; Hinxton, United Kingdom
| | - Surakameth Mahasirimongkol
- Division of Genomic Medicine and Innovation Support, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand; Hinxton, United Kingdom
| | - Rujipas Sirijatuphat
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Nasikarn Angkasekwinai
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Michael A Crone
- London Biofoundry, Imperial College Translation and Innovation Hub, London, United Kingdom; Hinxton, United Kingdom.,Section of Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom; Hinxton, United Kingdom.,UK Dementia Research Institute Centre for Care Research and Technology, Imperial College London, London, United Kingdom; Hinxton, United Kingdom
| | - Paul S Freemont
- London Biofoundry, Imperial College Translation and Innovation Hub, London, United Kingdom; Hinxton, United Kingdom.,Section of Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom; Hinxton, United Kingdom.,UK Dementia Research Institute Centre for Care Research and Technology, Imperial College London, London, United Kingdom; Hinxton, United Kingdom
| | - Julia Joung
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,Department of Biological Engineering, MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom
| | - Alim Ladha
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,Department of Biological Engineering, MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom
| | - Omar Abudayyeh
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom
| | - Jonathan Gootenberg
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom
| | - Feng Zhang
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,Department of Biological Engineering, MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom.,Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts, USA; Hinxton, United Kingdom
| | - Claire Chewapreecha
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; and Hinxton, United Kingdom.,Wellcome Sanger Institute, Hinxton, United Kingdom
| | - Sittinan Chanarat
- Department of Biochemistry and Center for Excellence in Protein and Enzyme Technology, Faculty of Science, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Navin Horthongkham
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Danaya Pakotiprapha
- Department of Biochemistry and Center for Excellence in Protein and Enzyme Technology, Faculty of Science, Mahidol University, Bangkok, Thailand; Hinxton, United Kingdom
| | - Chayasith Uttamapinant
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand; Hinxton, United Kingdom
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21
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Zhang X, Ge X, Shen F, Qiao J, Zhang Y, Li H. Diagnostic efficiency of RPA/RAA integrated CRISPR-Cas technique for COVID-19: A systematic review and meta-analysis. PLoS One 2022; 17:e0276728. [PMID: 36288366 PMCID: PMC9604878 DOI: 10.1371/journal.pone.0276728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 10/12/2022] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To evaluate the diagnostic value of recombinase polymerase/ aided amplification (RPA/RAA) integrated clustered regularly interspaced short palindromic repeats (CRISPR) in the diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS We searched relevant literature on CRISPR technology for COVID-19 diagnosis using "novel coronavirus", "clustered regularly interspaced short palindromic repeats" and "RPA/RAA" as subject terms in PubMed, Cochrane, Web of Science, and Embase databases. Further, we performed a meta-analysis after screening the literature, quality assessment, and data extraction. RESULTS The pooled sensitivity, specificity and a rea under the summary receiver operator characteristic curve (AUC) were 0.98 [95% confidence interval (CI):0.97-0.99], 0.99 (95% CI: 0.97-1.00) and 1.00 (95% CI: 0.98-1.00), respectively. For CRISPR-associated (Cas) proteins-12, the sensitivity, specificity was 0.98 (95% CI: 0.96-1.00), 1.00 (95% CI: 0.99-1.00), respectively. For Cas13, the sensitivity and specificity were 0.99 (95% CI: 0.97-1.00) and 0.95 (95% CI: 0.91-1.00). The positive likelihood ratio (PLR) was 183.2 (95% CI: 28.8, 1166.8); the negative likelihood ratio (NLR) was 0.02 (95% CI: 0.01, 0.03). CONCLUSION RPA/RAA integrated with CRISPR technology is used to diagnose coronavirus disease-19 (COVID-19) with high accuracy and can be used for large-scale population screening.
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Affiliation(s)
- Xiaoyu Zhang
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, China
| | - Xiao Ge
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, China
| | - Fangyuan Shen
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, China
| | - Jinjuan Qiao
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, China
| | - Yubo Zhang
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, China
| | - Heng Li
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, China
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22
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Zhang X, Yang Y, Cao J, Qi Z, Li G. Point-of-care CRISPR/Cas biosensing technology: A promising tool for preventing the possible COVID-19 resurgence caused by contaminated cold-chain food and packaging. FOOD FRONTIERS 2022; 4:FFT2176. [PMID: 36712576 PMCID: PMC9874772 DOI: 10.1002/fft2.176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/1912] [Revised: 12/12/1912] [Accepted: 12/12/1912] [Indexed: 02/01/2023] Open
Abstract
The ongoing coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused great public health concern and has been a global threat due to its high transmissibility and morbidity. Although the SARS-CoV-2 transmission mainly relies on the person-to-person route through the respiratory droplets, the possible transmission through the contaminated cold-chain food and packaging to humans has raised widespread concerns. This review discussed the possibility of SARS-CoV-2 transmission via the contaminated cold-chain food and packaging by tracing the occurrence, the survival of SARS-CoV-2 in the contaminated cold-chain food and packaging, as well as the transmission and outbreaks related to the contaminated cold-chain food and packaging. Rapid, accurate, and reliable diagnostics of SARS-CoV-2 is of great importance for preventing and controlling the COVID-19 resurgence. Therefore, we summarized the recent advances on the emerging clustered regularly interspaced short palindromic repeats (CRISPR)/Cas system-based biosensing technology that is promising and powerful for preventing the possible COVID-19 resurgence caused by the contaminated cold-chain food and packaging during the COVID-19 pandemic, including CRISPR/Cas system-based biosensors and their integration with portable devices (e.g., smartphone, lateral flow assays, microfluidic chips, and nanopores). Impressively, this review not only provided an insight on the possibility of SARS-CoV-2 transmission through the food supply chain, but also proposed the future opportunities and challenges on the development of CRISPR/Cas system-based detection methods for the diagnosis of SARS-CoV-2.
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Affiliation(s)
- Xianlong Zhang
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
| | - Yan Yang
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
| | - Juanjuan Cao
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
| | - Zihe Qi
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
| | - Guoliang Li
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
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23
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Zhang X, Shi Y, Chen G, Wu D, Wu Y, Li G. CRISPR/Cas Systems-Inspired Nano/Biosensors for Detecting Infectious Viruses and Pathogenic Bacteria. SMALL METHODS 2022; 6:e2200794. [PMID: 36114150 DOI: 10.1002/smtd.202200794] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/15/2022] [Indexed: 06/15/2023]
Abstract
Infectious pathogens cause severe human illnesses and great deaths per year worldwide. Rapid, sensitive, and accurate detection of pathogens is of great importance for preventing infectious diseases caused by pathogens and optimizing medical healthcare systems. Inspired by a microbial defense system (i.e., CRISPR/ CRISPR-associated proteins (Cas) system, an adaptive immune system for protecting microorganisms from being attacked by invading species), a great many new biosensors have been successfully developed and widely applied in the detection of infectious viruses and pathogenic bacteria. Moreover, advanced nanotechnologies have also been integrated into these biosensors to improve their detection stability, sensitivity, and accuracy. In this review, the recent advance in CRISPR/Cas systems-based nano/biosensors and their applications in the detection of infectious viruses and pathogenic bacteria are comprehensively reviewed. First of all, the categories and working principles of CRISPR/Cas systems for establishing the nano/biosensors are simply introduced. Then, the design and construction of CRISPR/Cas systems-based nano/biosensors are comprehensively discussed. In the end, attentions are focused on the applications of CRISPR/Cas systems-based nano/biosensors in the detection of infectious viruses and pathogenic bacteria. Impressively, the remaining opportunities and challenges for the further design and development of CRISPR/Cas system-based nano/biosensors and their promising applications are proposed.
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Affiliation(s)
- Xianlong Zhang
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, P. R. China
| | - Yiheng Shi
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, P. R. China
| | - Guang Chen
- Shaanxi Key Laboratory of Chemical Additives for Industry, College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, P. R. China
| | - Di Wu
- Institute for Global Food Security, Queen's University Belfast, Belfast, BT95DL, UK
| | - Yongning Wu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, P. R. China
- NHC Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU014) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing, 100021, P. R. China
| | - Guoliang Li
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, P. R. China
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24
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Huang T, Zhang R, Li J. CRISPR-Cas-based techniques for pathogen detection: Retrospect, recent advances, and future perspectives. J Adv Res 2022:S2090-1232(22)00240-5. [PMID: 36367481 PMCID: PMC10403697 DOI: 10.1016/j.jare.2022.10.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/16/2022] [Accepted: 10/22/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Early detection of pathogen-associated diseases are critical for effective treatment. Rapid, specific, sensitive, and cost-effective diagnostic technologies continue to be challenging to develop. The current gold standard for pathogen detection, polymerase chain reaction technology, has limitations such as long operational cycles, high cost, and high technician and instrumentation requirements. AIM OF REVIEW This review examines and highlights the technical advancements of CRISPR-Cas in pathogen detection and provides an outlook for future development, multi-application scenarios, and clinical translation. KEY SCIENTIFIC CONCEPTS OF REVIEW Approaches enabling clinical detection of pathogen nucleic acids that are highly sensitive, specific, cheap, and portable are necessary. CRISPR-Cas9 specificity in targeting nucleic acids and "collateral cleavage" activity of CRISPR-Cas12/Cas13/Cas14 show significant promise in nucleic acid detection technology. These methods have a high specificity, versatility, and rapid detection cycle. In this paper, CRISPR-Cas-based detection methods are discussed in depth. Although CRISPR-Cas-mediated pathogen diagnostic solutions face challenges, their powerful capabilities will pave the way for ideal diagnostic tools.
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25
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Du Y, Han D, An Z, Wang J, Gao Z. CRISPR/dCas9-surface-enhanced Raman scattering for the detection of drug resistance gene macB. Mikrochim Acta 2022; 189:394. [PMID: 36155855 DOI: 10.1007/s00604-022-05460-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 08/09/2022] [Indexed: 10/14/2022]
Abstract
Antibiotics have brought many benefits to public health systems worldwide since their first use in the last century, yet with their overuse in clinical treatment and livestock farming, new public health issues have arisen. Previously, we found in our experiments that the levels of macB genes in bovine raw milk ranked among the top of many drug resistance genes. In this paper, we present an analysis of regularly interspaced clustered short palindromic repeats (CRISPR) combined with surface-enhanced Raman scattering (SERS) technology for the detection of the drug resistance gene macB. The analysis was accomplished through the collaboration of the CRISPR system's ability to specifically identify genes and the more sensitive performance of the SERS. The analysis detects the drug resistance gene macB and does not yet require complex steps such as nucleic acid amplification. This method may prove to be an effective method for accurate detection of the drug-resistant gene macB, thus enabling more effective prevention of contamination of drug-resistant genes in food hygiene.
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Affiliation(s)
- Yuwan Du
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environment and Operational Medicine, Tianjin, 300050, People's Republic of China
| | - Dianpeng Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environment and Operational Medicine, Tianjin, 300050, People's Republic of China
| | - Zhaoxia An
- Public Health and Preventive Medicine, Hebei University, Hebei, 71000, People's Republic of China
| | - Jiang Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environment and Operational Medicine, Tianjin, 300050, People's Republic of China.
| | - Zhixian Gao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environment and Operational Medicine, Tianjin, 300050, People's Republic of China.
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26
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In Silico Evaluation of CRISPR-Based Assays for Effective Detection of SARS-CoV-2. Pathogens 2022; 11:pathogens11090968. [PMID: 36145402 PMCID: PMC9506389 DOI: 10.3390/pathogens11090968] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 12/02/2022] Open
Abstract
Coronavirus disease (COVID-19) caused by the SARS-CoV-2 has been an outbreak since late 2019 up to now. This pandemic causes rapid development in molecular detection technologies to diagnose viral infection for epidemic prevention. In addition to antigen test kit (ATK) and polymerase chain reaction (PCR), CRISPR-based assays for detection of SARS-CoV-2 have gained attention because it has a simple setup but still maintain high specificity and sensitivity. However, the SARS-CoV-2 has been continuing mutating over the past few years. Thus, molecular tools that rely on matching at the nucleotide level need to be reevaluated to preserve their specificity and sensitivity. Here, we analyzed how mutations in different variants of concern (VOC), including Alpha, Beta, Gamma, Delta, and Omicron strains, could introduce mismatches to the previously reported primers and crRNAs used in the CRISPR-Cas system. Over 40% of the primer sets and 15% of the crRNAs contain mismatches. Hence, primers and crRNAs in nucleic acid-based assays must be chosen carefully to pair up with SARS-CoV-2 variants. In conclusion, the data obtained from this study could be useful in selecting the conserved primers and crRNAs for effective detections against the VOC of SARS-CoV-2.
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27
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Li X, Zhang H, Zhang J, Song Y, Shi X, Zhao C, Wang J. Diagnostic accuracy of CRISPR technology for detecting SARS-CoV-2: a systematic review and meta-analysis. Expert Rev Mol Diagn 2022; 22:655-663. [PMID: 35902079 DOI: 10.1080/14737159.2022.2107425] [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: 11/04/2022]
Abstract
OBJECTIVE To evaluate the diagnostic accuracy of CRISPR-Cas technology for SARS-CoV-2. METHODS In our study, RT-qPCR is defined as the reference standard. Data was collected independently and assessed by Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. A bivariate model for pooling was employed to estimates of sensitivity and specificity and subgroups analysis was used to explore heterogeneity. RESULTS 2264 samples and 6 countries from 28 articles were extracted for evaluating the accuracy of CRISPR technology for diagnosing SARS-CoV-2. The overall pooled sensitivity and specificity of CRISPR technology were 0.98 (95% CI: 0.95-0.99) and 1.0 (95% CI: 0.98-1.00), respectively. As for literature quality assessment, high risks in patient selection bias and unclear risk of index test bias may affect accuracy. Subgroup analysis draws significant conclusions. CRISPR-Cas12 is more applicable for molecular diagnostics for its active editing characteristics. RT-LAMP and RT-RPA are usually used for pre-amplification and combined with fluorescence detection to output results quantitatively. Nasopharyngeal swabs and dual-genes perform greatly in our study. CONCLUSION The results concluded from all studies showed that CRISPR technology is a promising and accurate molecular method for detecting SARS-CoV-2. Standard methods including comparable sample material, patient selection, operating procedure and operators should be established.
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Affiliation(s)
- Xin Li
- School of Public Health, Jilin University, Changchun 130021, China
| | - Huiling Zhang
- School of Public Health, Jilin University, Changchun 130021, China
| | - Jing Zhang
- School of Public Health, Jilin University, Changchun 130021, China
| | - Yang Song
- School of Public Health, Jilin University, Changchun 130021, China
| | - Xuening Shi
- School of Public Health, Jilin University, Changchun 130021, China
| | - Chao Zhao
- School of Public Health, Jilin University, Changchun 130021, China
| | - Juan Wang
- School of Public Health, Jilin University, Changchun 130021, China
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Chantaravisoot N, Kaewsapsak P, Mayuramart O, Nimsamer P, Mankhong S, Chomta N, Bootsri R, Alee I, Wongkongkathep P, Treeprasertsuk S, Payungporn S. COVID-19 active case findings based on self-collected saliva samples with CRISPR-Cas12a detection. Exp Biol Med (Maywood) 2022; 247:1228-1234. [PMID: 35473361 PMCID: PMC9379603 DOI: 10.1177/15353702221090181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
COVID-19 is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus affecting the world population. Early detection has become one of the most successful strategies to alleviate the epidemic and pandemic of this contagious coronavirus. Surveillance testing programs have been initiated in many countries worldwide to prevent the outbreak of COVID-19. In this study, we demonstrated that our previously established clustered regularly interspaced short palindromic repeats (CRISPR)-Cas12a-based assay could detect variants of concern during 2021 in Thailand, including Alpha, Beta, and Delta strains as well as Omicron strain in early 2022. In combination with the newly designed saliva collection funnel, we established a safe, simple, economical, and efficient self-collection protocol for the COVID-19 screening process. We successfully utilized the assay in an active case finding with a total number of 578 asymptomatic participants to detect the SARS-CoV-2 in saliva samples. We finally demonstrated that the validation and evaluation in a large-scale setting could provide valuable information and elaborate the practicality of the test in real-world settings. Our optimized protocol yielded effective results with high sensitivity, specificity, and diagnostic accuracy (96.86%). In addition, this study demonstrates COVID-19 active case findings in low-resource settings, which would be feasible and attractive for surveillance and outbreak prevention in the future.
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Affiliation(s)
- Naphat Chantaravisoot
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand,Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pornchai Kaewsapsak
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand,Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Oraphan Mayuramart
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pattaraporn Nimsamer
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Suwanan Mankhong
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Nantinee Chomta
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Rungnapa Bootsri
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Isara Alee
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Piriya Wongkongkathep
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand,Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sombat Treeprasertsuk
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand,King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Sunchai Payungporn
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand,Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand,Sunchai Payungporn.
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Huang PY, Yin X, Huang YT, Ye QQ, Chen SQ, Cao XJ, Xie TA, Guo XG. Evaluation of CRISPR-Based Assays for Rapid Detection of SARS-CoV-2: A Systematic Review and Meta-Analysis. Yonsei Med J 2022; 63:480-489. [PMID: 35512751 PMCID: PMC9086695 DOI: 10.3349/ymj.2022.63.5.480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 11/28/2021] [Accepted: 11/30/2021] [Indexed: 11/27/2022] Open
Abstract
PURPOSE Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen of coronavirus disease 2019. Diagnostic methods based on the clustered regularly interspaced short palindromic repeats (CRISPR) have been developed to detect SARS-CoV-2 rapidly. Therefore, a systematic review and meta-analysis were performed to assess the diagnostic accuracy of CRISPR for detecting SARS-CoV-2 infection. MATERIALS AND METHODS Studies published before August 2021 were retrieved from four databases, using the keywords "SARS-CoV-2" and "CRISPR." Data were collected from these publications, and the sensitivity, specificity, negative likelihood ratio (NLR), positive likelihood ratio (PLR), and diagnostic odds ratio (DOR) were calculated. The summary receiver operating characteristic curve was plotted for analysis with MetaDiSc 1.4. The Stata 15.0 software was used to draw Deeks' funnel plots to evaluate publication bias. RESULTS We performed a pooled analysis of 38 independent studies shown in 30 publications. The reference standard was reverse transcription-quantitative PCR. The results indicated that the sensitivity of CRISPR-based methods for diagnosis was 0.94 (95% CI 0.93-0.95), the specificity was 0.98 (95% CI 0.97-0.99), the PLR was 34.03 (95% CI 20.81-55.66), the NLR was 0.08 (95% CI 0.06-0.10), and the DOR was 575.74 (95% CI 382.36-866.95). The area under the curve was 0.9894. CONCLUSION Studies indicate that a diagnostic method based on CRISPR has high sensitivity and specificity. Therefore, this would be a potential diagnostic tool to improve the accuracy of SARS-CoV-2 detection.
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Affiliation(s)
- Pei-Ying Huang
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Xin Yin
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Pediatrics School, Guangzhou Medical University, Guangzhou, China
| | - Yue-Ting Huang
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Qi-Qing Ye
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Pediatrics School, Guangzhou Medical University, Guangzhou, China
| | - Si-Qing Chen
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Xun-Jie Cao
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Tian-Ao Xie
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Xu-Guang Guo
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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30
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Wang S, Hu J, Sui C, He G, Qu Z, Chen X, Wang Y, Guo D, Liu X. Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis. Microb Pathog 2022; 165:105498. [PMID: 35341958 PMCID: PMC8949659 DOI: 10.1016/j.micpath.2022.105498] [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: 12/21/2021] [Revised: 02/26/2022] [Accepted: 03/19/2022] [Indexed: 02/06/2023]
Abstract
Objective To estimate the accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) in determining coronavirus disease-19 (COVID-19). Methods As of January 31, 2022, PubMed, Web of Science, Embase, Science Direct, Wiley and Springer Link were searched. Sensitivity, specificity, likelihood ratio (LR), diagnostic odds ratio (DOR) and area under the summary receiver-operating characteristic (AUC) curve were used to assess the accuracy of CRISPR. Results According to the inclusion criteria, 5857 patients from 54 studies were included in this meta-analysis. The pooled sensitivity, specificity and AUC were 0.98, 1.00 and 1.00, respectively. For CRISPR-associated (Cas) proteins-12, the sensitivity, specificity was 0.96, 1.00, respectively. For Cas-13, the sensitivity and specificity were 0.99 and 0.99. Conclusion This meta-analysis showed that the diagnostic performance of CRISPR is close to the gold standard, and it is expected to meet the Point of care requirements in resource poor areas.
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Affiliation(s)
- Song Wang
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Jiayi Hu
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Chuanying Sui
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Guangliang He
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Zihan Qu
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xiaofei Chen
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yashan Wang
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Dingjie Guo
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xin Liu
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
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Liu X, Huang C, Qiu C, Wang Z, Cheng M, Zhang Y, Qiao Y, Guan Y, Feng X, Sun C, Li N, Li F, Lei L, Han W, Zhang X, Gu J. Rapid and sensitive detection of Staphylococcus aureus using biolayer interferometry technology combined with phage lysin LysGH15. Biosens Bioelectron 2022; 198:113799. [PMID: 34823965 DOI: 10.1016/j.bios.2021.113799] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 11/09/2021] [Accepted: 11/12/2021] [Indexed: 12/25/2022]
Abstract
Staphylococcus aureus (S. aureus), considered as a common foodborne pathogenic microorganism, usually causes food poisoning and various infectious diseases. Therefore, development of rapid and accurate bacterial detection method is the key to preventing food poisoning and achieving early diagnosis and treatment of various infectious diseases caused by S. aureus. Biolayer interferometry (BLI) technology is a novel technique of label-free optical analysis for real-time monitoring of biomolecular interactions. The C54A mutation induced the lytic activity loss of phage lysin LysGH15 but retained the capacity for specific recognizing and binding S. aureus. In this study, a novel method for the detection of S. aureus was established using the C54A mutant LysGH15 as the receptor in combination with BLI. Using this BLI-based method, S. aureus whole cells could be directly assayed and the limit of detection was 13 CFU/mL with a binding time of 12 min. Because the C54A mutant LysGH15 recognizes S. aureus with very high specificity, the method can exclude potential interference from other bacterial species. In addition, this method could also distinguish between viable and dead S. aureus. Moreover, S. aureus was successfully detected in ice cubes and light soy sauce by using this method. Collectively, these results indicate that the LysGH15-based BLI method can be used as an efficient and reliable diagnostic tool in the field of food safety and other related fields for the rapid, sensitive, label-free, and real-time detection of S. aureus.
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Affiliation(s)
- Xiao Liu
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Chunzheng Huang
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Cao Qiu
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Zijing Wang
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Mengjun Cheng
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital Fudan University, Shanghai, 200032, People's Republic of China
| | - Yan Zhang
- College of Life Sciences, Jilin University, Jilin, Changchun, 130012, People's Republic of China
| | - Yinghan Qiao
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Yuan Guan
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Xin Feng
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Changjiang Sun
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Na Li
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Fengyang Li
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Liancheng Lei
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Wenyu Han
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China.
| | - Xiaoguang Zhang
- College of Food Science and Engineering, Jilin University, Jilin, Changchun, 130062, People's Republic of China.
| | - Jingmin Gu
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China.
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32
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Chen H, Wang Y, Wei H, Rong Z, Wang S. A rapid water bath PCR combined with lateral flow assay for the simultaneous detection of SARS-CoV-2 and influenza B virus. RSC Adv 2022; 12:3437-3444. [PMID: 35425347 PMCID: PMC8979286 DOI: 10.1039/d1ra07756b] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 01/15/2022] [Indexed: 12/12/2022] Open
Abstract
The outbreak of the coronavirus disease 2019 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in significant global health and economic threats to the human society. Thus, a rapid and accurate detection method for early testing and diagnosis should be established. In this study, a rapid water bath polymerase chain reaction (PCR) combined with lateral flow assay was developed to detect SARS-CoV-2 and influenza B virus simultaneously. A homemade automated transfer device equipped with reaction tube shuttled rapidly between two water baths at 98 °C and 53 °C to realize rapid PCR. After amplification, two-ended labeled PCR products were detected using the lateral flow strip with two test lines and streptavidin-conjugated quantum dot nanobeads. The fluorescence value was read using a handheld instrument. The established assay could complete reverse-transcription PCR amplification and lateral flow detection in 45 minutes. The detection limits were 8.44 copies per μL and 14.23 copies per μL for SARS-CoV-2 and influenza B virus, respectively. The coefficients of variation of the test strip were 10.10% for the SARS-CoV-2 and 4.94% for the influenza B virus, demonstrating the excellent repeatability of the experiment. These results indicated that the rapid PCR combined with lateral flow assay could detect SARS-CoV-2 and influenza B virus simultaneously at a short assay time and low cost, thereby showing the remarkable potential for the rapid and multiplex detection of respiratory viruses in resource-limited settings. Rapid and highly sensitive multiplex detection of SARS-CoV-2 and influenza B virus using water bath PCR-combined fluorescent lateral flow assay.![]()
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Affiliation(s)
- Hong Chen
- Beijing Institute of Radiation Medicine Beijing 100850 P. R. China .,Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases Beijing 100850 P. R. China
| | - Yunxiang Wang
- Beijing Institute of Radiation Medicine Beijing 100850 P. R. China .,Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases Beijing 100850 P. R. China
| | - Hongjuan Wei
- Beijing Institute of Radiation Medicine Beijing 100850 P. R. China .,Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases Beijing 100850 P. R. China
| | - Zhen Rong
- Beijing Institute of Radiation Medicine Beijing 100850 P. R. China .,Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases Beijing 100850 P. R. China
| | - Shengqi Wang
- Beijing Institute of Radiation Medicine Beijing 100850 P. R. China .,Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases Beijing 100850 P. R. China
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Jirawannaporn S, Limothai U, Tachaboon S, Dinhuzen J, Kiatamornrak P, Chaisuriyong W, Bhumitrakul J, Mayuramart O, Payungporn S, Srisawat N. Rapid and sensitive point-of-care detection of Leptospira by RPA-CRISPR/Cas12a targeting lipL32. PLoS Negl Trop Dis 2022; 16:e0010112. [PMID: 34990457 PMCID: PMC8769300 DOI: 10.1371/journal.pntd.0010112] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 01/19/2022] [Accepted: 12/20/2021] [Indexed: 12/26/2022] Open
Abstract
Background One of the key barriers preventing rapid diagnosis of leptospirosis is the lack of available sensitive point-of-care testing. This study aimed to develop and validate a clustered regularly-interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 12a (CRISPR/Cas12a) platform combined with isothermal amplification to detect leptospires from extracted patient DNA samples. Methodology/Principal findings A Recombinase Polymerase Amplification (RPA)-CRISPR/Cas12a-fluorescence assay was designed to detect the lipL32 gene of pathogenic Leptospira spp. The assays demonstrated a limit of detection (LOD) of 100 cells/mL, with no cross-reactivity against several other acute febrile illnesses. The clinical performance of the assay was validated with DNA extracted from 110 clinical specimens and then compared to results from qPCR detection of Leptospira spp. The RPA-CRISPR/Cas12a assay showed 85.2% sensitivity, 100% specificity, and 92.7% accuracy. The sensitivity increased on days 4–6 after the fever onset and decreased after day 7. The specificity was consistent for several days after the onset of fever. The overall performance of the RPA-CRISPR/Cas12a platform was better than the commercial rapid diagnostic test (RDT). We also developed a lateral flow detection assay (LFDA) combined with RPA-CRISPR/Cas12a to make the test more accessible and easier to interpret. The combined LFDA showed a similar LOD of 100 cells/mL and could correctly distinguish between known positive and negative clinical samples in a pilot study. Conclusions/Significance The RPA-CRISPR/Cas12 targeting the lipL32 gene demonstrated acceptable sensitivity and excellent specificity for detection of leptospires. This assay might be an appropriate test for acute leptospirosis screening in limited-resource settings. Clinical signs and symptoms of leptospirosis are similar to those of other infectious diseases such as dengue, sepsis, and malaria, making it difficult to diagnose. In this study, we developed an RPA-CRISPR/Cas12a -based detection platform to identify the lipL32 gene of pathogenic Leptospira spp. The results showed that the limit of detection (LOD) was approximately 102 cells/mL without cross-reactivity against other infectious diseases. The platform was validated using 110 patients from 15 hospitals in Sisaket province, Thailand. The sensitivity, specificity, and accuracy was found to be 85.2%, 100% and 92.7%, respectively, for the diagnosis of leptospirosis. Assay sensitivity increased at 4–6 d post-onset of fever, with a consistent specificity every day after the onset of fever. We also developed a lateral flow detection assay combined with RPA-CRISPR/Cas12a, which also had a LOD of 102 cells/mL and could correctly distinguish known positive and negative clinical samples in a pilot study. Findings from this study demonstrate the potential effectiveness of the RPA-CRISPR/Cas12a platform in improving speed and accuracy of leptospirosis diagnosis especially in limited-resource settings.
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Affiliation(s)
- Sirawit Jirawannaporn
- Excellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Ph.D. candidate in Doctor of Philosophy Program in Medical Sciences, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Umaporn Limothai
- Excellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Critical Care Nephrology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Sasipha Tachaboon
- Excellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Critical Care Nephrology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Janejira Dinhuzen
- Excellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Critical Care Nephrology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Patcharakorn Kiatamornrak
- Excellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Critical Care Nephrology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Watchadaporn Chaisuriyong
- Excellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Critical Care Nephrology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Jom Bhumitrakul
- King’s College London GKT School of Medical Education, King’s College London, London, England, United Kingdom
| | - Oraphan Mayuramart
- Research Unit of Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Sunchai Payungporn
- Research Unit of Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Nattachai Srisawat
- Excellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Critical Care Nephrology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, and King Chulalongkorn, Memorial Hospital, Bangkok, Thailand
- Academy of Science, Royal Society of Thailand, Bangkok, Thailand
- Tropical Medicine Cluster, Chulalongkorn University, Bangkok, Thailand
- Excellence Center for Critical Care Medicine, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Department of Critical Care Medicine, Center for Critical Care Nephrology, The CRISMA Center, University of Pittsburgh School of Medicine, Pennsylvania, United States of America
- * E-mail:
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Sukonta T, Senapin S, Meemetta W, Chaijarasphong T. CRISPR-based platform for rapid, sensitive and field-deployable detection of scale drop disease virus in Asian sea bass (Lates calcarifer). JOURNAL OF FISH DISEASES 2022; 45:107-120. [PMID: 34613623 DOI: 10.1111/jfd.13541] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/18/2021] [Accepted: 09/20/2021] [Indexed: 06/13/2023]
Abstract
Scale drop disease virus (SDDV) is a major pathogen of Asian sea bass that has emerged in many countries across the Asia Pacific since 1992 and carries the potential to cause drastic economic losses to the aquaculture sector. The lack of an approved vaccine for SDDV necessitates timely prevention as the first line of defence against the disease, but current diagnostic platforms still face challenges that render them incompatible with field applications, particularly in resource-limited settings. Here, we developed a novel detection platform for SDDV based on a CRISPR-Cas12a-based nucleic acid detection technology combined with recombinase polymerase amplification (RPA-Cas12a). Using the viral adenosine triphosphatase (SDDV-ATPase) gene as a target, we achieved the detection limit of 40 copies per reaction and high specificity for SDDV. The coupling with fluorescence and lateral flow readouts enables naked-eye visualization and straightforward data interpretation requiring minimal scientific background. Compared with semi-nested PCR in field sample evaluation, our RPA-Cas12a assay is more sensitive and capable of detecting SDDV in asymptomatic fish. Importantly, the entire workflow can be carried out at a constant temperature of 37°C within an hour from start to finish, thus removing the need for an expensive thermal cycling apparatus and long turnaround times associated with PCR-based methods. Therefore, owing to its high accuracy, rapidity and user-friendliness, the developed RPA-Cas12a platform shows the potential for diagnosis of SDDV at point of need and could be a valuable tool to help protect fish farming communities from large-scale epidemics.
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Affiliation(s)
- Thanwarat Sukonta
- Department of Biotechnology, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Saengchan Senapin
- Department of Biotechnology, Faculty of Science, Mahidol University, Bangkok, Thailand
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
- Center of Excellence for Shrimp Molecular Biology and Biotechnology (Centex Shrimp), Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Watcharachai Meemetta
- Center of Excellence for Shrimp Molecular Biology and Biotechnology (Centex Shrimp), Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Thawatchai Chaijarasphong
- Department of Biotechnology, Faculty of Science, Mahidol University, Bangkok, Thailand
- Center of Excellence for Shrimp Molecular Biology and Biotechnology (Centex Shrimp), Faculty of Science, Mahidol University, Bangkok, Thailand
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Kwon S, Shin HY. Advanced CRISPR-Cas Effector Enzyme-Based Diagnostics for Infectious Diseases, Including COVID-19. Life (Basel) 2021; 11:life11121356. [PMID: 34947888 PMCID: PMC8705966 DOI: 10.3390/life11121356] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 12/02/2021] [Indexed: 12/19/2022] Open
Abstract
Rapid and precise diagnostic tests can prevent the spread of diseases, including worldwide pandemics. Current commonly used diagnostic methods include nucleic-acid-amplification-based detection methods and immunoassays. These techniques, however, have several drawbacks in diagnosis time, accuracy, and cost. Nucleic acid amplification methods are sensitive but time-consuming, whereas immunoassays are more rapid but relatively insensitive. Recently developed CRISPR-based nucleic acid detection methods have been found to compensate for these limitations. In particular, the unique collateral enzymatic activities of Cas12 and Cas13 have dramatically reduced the diagnosis times and costs, while improving diagnostic accuracy and sensitivity. This review provides a comprehensive description of the distinct enzymatic features of Cas12 and Cas13 and their applications in the development of molecular diagnostic platforms for pathogen detection. Moreover, it describes the current utilization of CRISPR-Cas-based diagnostic techniques to identify SARS-CoV-2 infection, as well as recent progress in the development of CRISPR-Cas-based detection strategies for various infectious diseases. These findings provide insights into designing effective molecular diagnostic platforms for potential pandemics.
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36
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Rattanaburi S, Sawaswong V, Chitcharoen S, Sivapornnukul P, Nimsamer P, Suntronwong N, Puenpa J, Poovorawan Y, Payungporn S. Bacterial microbiota in upper respiratory tract of COVID-19 and influenza patients. Exp Biol Med (Maywood) 2021; 247:409-415. [PMID: 34775842 DOI: 10.1177/15353702211057473] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
The upper respiratory tract is inhabited by diverse range of commensal microbiota which plays a role in protecting the mucosal surface from pathogens. Alterations of the bacterial community from respiratory viral infections could increase the susceptibility to secondary infections and disease severities. We compared the upper respiratory bacterial profiles among Thai patients with influenza or COVID-19 by using 16S rDNA high-throughput sequencing based on MiSeq platform. The Chao1 richness was not significantly different among groups, whereas the Shannon diversity of Flu A and Flu B groups were significantly lower than Non-Flu & COVID-19 group. The beta diversity revealed that the microbial communities of influenza (Flu A and Flu B), COVID-19, and Non-Flu & COVID-19 were significantly different; however, the comparison of the community structure was similar between Flu A and Flu B groups. The bacterial classification revealed that Enterobacteriaceae was predominant in influenza patients, while Staphylococcus and Pseudomonas were significantly enriched in the COVID-19 patients. These implied that respiratory viral infections might be related to alteration of upper respiratory bacterial community and susceptibility to secondary bacterial infections. Moreover, the bacteria that observed in Non-Flu & COVID-19 patients had high abundance of Streptococcus, Prevotella, Veillonella, and Fusobacterium. This study provides the basic knowledge for further investigation of the relationship between upper respiratory microbiota and respiratory disease which might be useful for better understanding the mechanism of viral infectious diseases.
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Affiliation(s)
- Somruthai Rattanaburi
- Interdisciplinary Program of Biomedical Sciences, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand.,Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Vorthon Sawaswong
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Suwalak Chitcharoen
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pavaret Sivapornnukul
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.,Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pattaraporn Nimsamer
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Nungruthai Suntronwong
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Jiratchaya Puenpa
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Yong Poovorawan
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sunchai Payungporn
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.,Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
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37
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Chan KG, Ang GY, Yu CY, Yean CY. Harnessing CRISPR-Cas to Combat COVID-19: From Diagnostics to Therapeutics. Life (Basel) 2021; 11:1210. [PMID: 34833086 PMCID: PMC8623262 DOI: 10.3390/life11111210] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 10/31/2021] [Accepted: 11/03/2021] [Indexed: 12/24/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), remains a global threat with an ever-increasing death toll even after a year on. Hence, the rapid identification of infected individuals with diagnostic tests continues to be crucial in the on-going effort to combat the spread of COVID-19. Viral nucleic acid detection via real-time reverse transcription polymerase chain reaction (rRT-PCR) or sequencing is regarded as the gold standard for COVID-19 diagnosis, but these technically intricate molecular tests are limited to centralized laboratories due to the highly specialized instrument and skilled personnel requirements. Based on the current development in the field of diagnostics, the programmable clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) system appears to be a promising technology that can be further explored to create rapid, cost-effective, sensitive, and specific diagnostic tools for both laboratory and point-of-care (POC) testing. Other than diagnostics, the potential application of the CRISPR-Cas system as an antiviral agent has also been gaining attention. In this review, we highlight the recent advances in CRISPR-Cas-based nucleic acid detection strategies and the application of CRISPR-Cas as a potential antiviral agent in the context of COVID-19.
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Affiliation(s)
- Kok Gan Chan
- International Genome Centre, Jiangsu University, Zhenjiang 212013, China;
- Institute of Marine Sciences, Shantou University, Shantou 515063, China
- Division of Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Geik Yong Ang
- Faculty of Sports Science and Recreation, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
| | - Choo Yee Yu
- Laboratory of Vaccine and Biomolecules, Institute of Bioscience, Universiti Putra Malaysia, Serdang 43400, Malaysia
| | - Chan Yean Yean
- Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu 16150, Malaysia
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Krokhine S, Torabi H, Doostmohammadi A, Rezai P. Conventional and microfluidic methods for airborne virus isolation and detection. Colloids Surf B Biointerfaces 2021; 206:111962. [PMID: 34352699 PMCID: PMC8249716 DOI: 10.1016/j.colsurfb.2021.111962] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/22/2021] [Accepted: 06/29/2021] [Indexed: 12/23/2022]
Abstract
With the COVID-19 pandemic, the threat of infectious diseases to public health and safety has become much more apparent. Viral, bacterial and fungal diseases have led to the loss of millions of lives, especially in the developing world. Diseases caused by airborne viruses like SARS-CoV-2 are difficult to control, as these viruses are easily transmissible and can circulate in the air for hours. To contain outbreaks of viruses such as SARS-CoV-2 and institute targeted precautions, it is important to detect them in air and understand how they infect their targets. Point-of-care (PoC) diagnostics and point-of-need (PoN) detection methods are necessary to rapidly test patient and environmental samples, so precautions can immediately be applied. Traditional benchtop detection methods such as ELISA, PCR and culture are not suitable for PoC and PoN monitoring, because they can take hours to days and require specialized equipment. Microfluidic devices can be made at low cost to perform such assays rapidly and at the PoN. They can also be integrated with air- and liquid-based sampling technologies to capture and analyze viruses from air and body fluids. Here, conventional and microfluidic virus detection methods are reviewed and compared. The use of air sampling devices to capture and concentrate viruses is discussed first, followed by a review of analysis methods such as immunoassays, RT-PCR and isothermal amplification in conventional and microfluidic platforms. This review provides an overview of the capabilities of microfluidics in virus handling and detection, which will be useful to infectious disease researchers, biomedical engineers, and public health agencies.
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Affiliation(s)
- Sophie Krokhine
- Faculty of Science, McMaster University, Burke Science Building, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada.
| | - Hadis Torabi
- Department of Biomedical Engineering, University of Isfahan, Iran.
| | | | - Pouya Rezai
- Department of Mechanical Engineering, York University, ON, Canada.
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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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40
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Huang X, Zhang F, Zhu K, Lin W, Ma W. dsmCRISPR: Dual synthetic mismatches CRISPR/Cas12a-based detection of SARS-CoV-2 D614G mutation. Virus Res 2021; 304:198530. [PMID: 34363850 PMCID: PMC8339451 DOI: 10.1016/j.virusres.2021.198530] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 07/27/2021] [Accepted: 07/29/2021] [Indexed: 12/26/2022]
Abstract
Fast evolving of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has caused the spreading of COVID-19 disease rapidly around the globe. The mutation, especially in the gene encoding spike protein has helped the virus adapt and evade human immune system, as well as affect the efficacy of the immunizations and treatments. SARS-CoV-2 variant carrying D614G amino acid change at the spike protein is the most dominant strain in the pandemic. Therefore, efficient detection of the SARS-CoV-2 variants including D614G mutation is critical to control the COVID-19 pandemic. Herein, we report a dual synthetic mismatches CRISPR/Cas12a (dsmCRISPR) method to detect the SARS-CoV-2 D614G mutation with high sensitivity and specificity. By targeting SARS-CoV-2 D614G mutation, synthetic mismatch crRNAs were designed from -3 to +3 position around the mutation site. To improve the sensitivity and specificity, a synthetic mismatch primer with a 3'-terminal base complementary to the D614G point mutation and a mismatch next to 3'-terminal base was used to specifically amplify the D614G mutation site with higher annealing temperature. Using synthetic mismatch crRNA-(-1), a higher ratio (13.45) of the fluorescence between G614 and D614 was observed. When combined with mismatch primer to amplify D614G mutation, the fluorescence ratio of G614/D164 template detected was increased by 73.53% to 23.12. This method can detect the SARS-CoV-2 D614G mutation nucleic acid with high sensitivity, which was validated with synthetic SARS-CoV-2 D614G RNA. Therefore, the dsmCRIPSR method has significant potential to serve as a sensitive and specific assay for SARS-CoV-2 D614G detection and could be further extended for the detection of other SARS-CoV-2 variants of interest.
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Affiliation(s)
- Xiaoming Huang
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Fuming Zhang
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Kun Zhu
- Beijing Origingene-tech biotechnology Co., Ltd., Beijing, China
| | - Wanjun Lin
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Wenzhe Ma
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China.
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41
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Zhou H, Tsou JH, Chinthalapally M, Liu H, Jiang F. Detection and Differentiation of SARS-CoV-2, Influenza, and Respiratory Syncytial Viruses by CRISPR. Diagnostics (Basel) 2021; 11:diagnostics11050823. [PMID: 34062939 PMCID: PMC8147329 DOI: 10.3390/diagnostics11050823] [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: 03/24/2021] [Revised: 04/29/2021] [Accepted: 04/29/2021] [Indexed: 12/23/2022] Open
Abstract
SARS-CoV-2, influenza, and respiratory syncytial viruses (RSVs) cause acute respiratory infections with similar symptoms. Since the treatments and outcomes of these infections are different, the early detection and accurate differentiation of the viruses are clinically important for the prevention and treatment of the diseases. We previously demonstrated that clustered regularly interspaced short palindromic repeats (CRISPR) could rapidly and precisely detect SARS-CoV-2. The objective of this study was to develop CRISPR as a test for simultaneously detecting and accurately distinguishing the viruses. The CRISPR assay with an RNA guide against each virus was performed in the reference standards of SARS-CoV-2, influenza A and B, and RSV. The CRISPR assay had a limit of detection of 1-100 copies/µL for specifically detecting SARS-CoV-2, influenza A and B, and RSV without cross-reaction with other respiratory viruses. The validation of the test in nasopharyngeal specimens showed that it had a 90-100% sensitivity and 100% specificity for the detection of SARS-CoV-2, influenza A and B, and RSV. The CRISPR assay could potentially be used for sensitive detection and specific differentiation of the respiratory viruses.
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Affiliation(s)
- Huifen Zhou
- Department of Pathology, University of Maryland School of Medicine, 10 S. Pine St., Baltimore, MD 21201, USA; (H.Z.); (J.-H.T.)
| | - Jen-Hui Tsou
- Department of Pathology, University of Maryland School of Medicine, 10 S. Pine St., Baltimore, MD 21201, USA; (H.Z.); (J.-H.T.)
| | - Molangur Chinthalapally
- Environmental Science and Technology, College of Agriculture and Natural Resources, University of Maryland, College Park, MD 20742, USA;
| | - Hongjie Liu
- Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park, MD 20742, USA;
| | - Feng Jiang
- Department of Pathology, University of Maryland School of Medicine, 10 S. Pine St., Baltimore, MD 21201, USA; (H.Z.); (J.-H.T.)
- Correspondence:
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42
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Specific Detection of Influenza A and B Viruses by CRISPR-Cas12a-Based Assay. BIOSENSORS-BASEL 2021; 11:bios11030088. [PMID: 33808752 PMCID: PMC8003587 DOI: 10.3390/bios11030088] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/08/2021] [Accepted: 03/18/2021] [Indexed: 02/07/2023]
Abstract
A rapid and accurate on-site diagnostic test for pathogens including influenza viruses is critical for preventing the spread of infectious diseases. Two types of influenza virus, A and B cause seasonal flu epidemics, whereas type A can cause influenza pandemics. To specifically detect influenza A (IAV) and B (IBV) viruses, we developed a clustered, regularly interspaced, short palindromic repeats (CRISPR) and CRISPR-associated (Cas) system-based assay. By coupling reverse transcription recombinase polymerase amplification (RT-RPA) and reverse transcription loop-mediated isothermal amplification (RT-LAMP), a CRISPR-Cas12a DNA endonuclease-targeted CRISPR trans-reporter (DETECTR) detected IAV and IBV titers as low as 1 × 100 plaque forming units (PFUs) per reaction without exhibiting cross-reactivity. Only 75 to 85 min were required to detect IAV and IBV, depending on isothermal nucleic acid amplification methods, and results were verified using a lateral flow strip assay that does not require additional analytic equipment. Taken together, our findings establish RT-RPA and RT-LAMP-coupled DETECTR-based diagnostic tests for rapid, specific and high-sensitivity detection of IAV and IBV using fluorescence and lateral flow assays. The diagnostic test developed in this study can be used to distinguish IAV and IBV infections, a capability that is necessary for monitoring and preventing the spread of influenza epidemics and pandemics.
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43
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Courtney SJ, Stromberg ZR, Kubicek-Sutherland JZ. Nucleic Acid-Based Sensing Techniques for Diagnostics and Surveillance of Influenza. BIOSENSORS-BASEL 2021; 11:bios11020047. [PMID: 33673035 PMCID: PMC7918464 DOI: 10.3390/bios11020047] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 02/01/2021] [Accepted: 02/09/2021] [Indexed: 02/07/2023]
Abstract
Influenza virus poses a threat to global health by causing seasonal outbreaks as well as three pandemics in the 20th century. In humans, disease is primarily caused by influenza A and B viruses, while influenza C virus causes mild disease mostly in children. Influenza D is an emerging virus found in cattle and pigs. To mitigate the morbidity and mortality associated with influenza, rapid and accurate diagnostic tests need to be deployed. However, the high genetic diversity displayed by influenza viruses presents a challenge to the development of a robust diagnostic test. Nucleic acid-based tests are more accurate than rapid antigen tests for influenza and are therefore better candidates to be used in both diagnostic and surveillance applications. Here, we review various nucleic acid-based techniques that have been applied towards the detection of influenza viruses in order to evaluate their utility as both diagnostic and surveillance tools. We discuss both traditional as well as novel methods to detect influenza viruses by covering techniques that require nucleic acid amplification or direct detection of viral RNA as well as comparing advantages and limitations for each method. There has been substantial progress in the development of nucleic acid-based sensing techniques for the detection of influenza virus. However, there is still an urgent need for a rapid and reliable influenza diagnostic test that can be used at point-of-care in order to enhance responsiveness to both seasonal and pandemic influenza outbreaks.
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Samacoits A, Nimsamer P, Mayuramart O, Chantaravisoot N, Sitthi-amorn P, Nakhakes C, Luangkamchorn L, Tongcham P, Zahm U, Suphanpayak S, Padungwattanachoke N, Leelarthaphin N, Huayhongthong H, Pisitkun T, Payungporn S, Hannanta-anan P. Machine Learning-Driven and Smartphone-Based Fluorescence Detection for CRISPR Diagnostic of SARS-CoV-2. ACS OMEGA 2021; 6:2727-2733. [PMID: 33553890 PMCID: PMC7839157 DOI: 10.1021/acsomega.0c04929] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 01/11/2021] [Indexed: 05/12/2023]
Abstract
Rapid, accurate, and low-cost detection of SARS-CoV-2 is crucial to contain the transmission of COVID-19. Here, we present a cost-effective smartphone-based device coupled with machine learning-driven software that evaluates the fluorescence signals of the CRISPR diagnostic of SARS-CoV-2. The device consists of a three-dimensional (3D)-printed housing and low-cost optic components that allow excitation of fluorescent reporters and selective transmission of the fluorescence emission to a smartphone. Custom software equipped with a binary classification model has been developed to quantify the acquired fluorescence images and determine the presence of the virus. Our detection system has a limit of detection (LoD) of 6.25 RNA copies/μL on laboratory samples and produces a test accuracy of 95% and sensitivity of 97% on 96 nasopharyngeal swab samples with transmissible viral loads. Our quantitative fluorescence score shows a strong correlation with the quantitative reverse transcription polymerase chain reaction (RT-qPCR) Ct values, offering valuable information of the viral load and, therefore, presenting an important advantage over nonquantitative readouts.
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Affiliation(s)
| | - Pattaraporn Nimsamer
- Center
of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Oraphan Mayuramart
- Center
of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Naphat Chantaravisoot
- Center
of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department
of Biochemistry, Faculty of Medicine, Chulalongkorn
University, Bangkok 10330, Thailand
| | - Pitchaya Sitthi-amorn
- Department
of Computer Engineering, Chulalongkorn University, Bangkok 10330, Thailand
| | - Chajchawan Nakhakes
- Department
of Clinical Pathology and Medical Technology, Rajavithi Hospital, Bangkok 10400, Thailand
| | - Lumrung Luangkamchorn
- School of
Engineering, King Mongkut’s Institute
of Technology Ladkrabang, Bangkok 10520, Thailand
| | - Phongsakhon Tongcham
- School of
Engineering, King Mongkut’s Institute
of Technology Ladkrabang, Bangkok 10520, Thailand
| | - Ugo Zahm
- Sertis
Corporation, Bangkok 10110, Thailand
| | - Suchada Suphanpayak
- Department
of Clinical Pathology and Medical Technology, Rajavithi Hospital, Bangkok 10400, Thailand
| | - Natta Padungwattanachoke
- Department
of Clinical Pathology and Medical Technology, Rajavithi Hospital, Bangkok 10400, Thailand
| | - Nutcha Leelarthaphin
- Department
of Clinical Pathology and Medical Technology, Rajavithi Hospital, Bangkok 10400, Thailand
| | | | - Trairak Pisitkun
- Center
of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sunchai Payungporn
- Center
of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department
of Biochemistry, Faculty of Medicine, Chulalongkorn
University, Bangkok 10330, Thailand
| | - Pimkhuan Hannanta-anan
- School of
Engineering, King Mongkut’s Institute
of Technology Ladkrabang, Bangkok 10520, Thailand
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