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Tamura D, Morisawa Y, Mato T, Nunomiya S, Yoshihiro M, Maehara Y, Ito S, Ochiai Y, Yamagishi H, Tajima T, Yamagata T, Osaka H. Temporal Trend of the SARS-CoV-2 Omicron Variant and RSV in the Nasal Cavity and Accuracy of the Newly Developed Antigen-Detecting Rapid Diagnostic Test. Diagnostics (Basel) 2024; 14:119. [PMID: 38201428 PMCID: PMC10802845 DOI: 10.3390/diagnostics14010119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 12/28/2023] [Accepted: 12/28/2023] [Indexed: 01/12/2024] Open
Abstract
The aim of this work is to analyze the viral titers of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and respiratory syncytial virus (RSV) at the anterior nasal site (ANS) and nasopharyngeal site (NS), evaluate their virological dynamics, and validate the usefulness of a newly developed two-antigen-detecting rapid antigen diagnostic test (Ag-RDT) that simultaneously detects SARS-CoV-2 and RSV using clinical specimens. This study included 195 asymptomatic to severely ill patients. Overall, 668 specimens were collected simultaneously from the ANS and NS. The cycle threshold (Ct) values calculated from real-time polymerase chain reaction were used to analyze temporal changes in viral load and evaluate the sensitivity and specificity of the Ag-RDT. The mean Ct values for SARS-CoV-2-positive, ANS, and NS specimens were 28.8, 28.9, and 28.7, respectively. The mean Ct values for RSV-positive, ANS, and NS specimens were 28.7, 28.8, and 28.6, respectively. SARS-CoV-2 and RSV showed the same trend in viral load, although the viral load of NS was higher than that of ANS. The sensitivity and specificity of the newly developed Ag-RDT were excellent in specimens collected up to 10 days after the onset of SARS-CoV-2 infection and up to 6 days after the onset of RSV infection.
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Affiliation(s)
- Daisuke Tamura
- Department of Pediatrics, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan; (H.Y.)
| | - Yuji Morisawa
- Department of Infectious Disease, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Takashi Mato
- Department of Emergency Center, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Shin Nunomiya
- Department of Intensive Care Unit, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Masaki Yoshihiro
- Research & Development Division, Sekisui Medical Co., Ltd., Chuo-ku, Tokyo 103-0027, Japan
| | - Yuta Maehara
- Research & Development Division, Sekisui Medical Co., Ltd., Chuo-ku, Tokyo 103-0027, Japan
| | - Shizuka Ito
- Research & Development Division, Sekisui Medical Co., Ltd., Chuo-ku, Tokyo 103-0027, Japan
| | - Yasushi Ochiai
- Research & Development Division, Sekisui Medical Co., Ltd., Chuo-ku, Tokyo 103-0027, Japan
| | - Hirokazu Yamagishi
- Department of Pediatrics, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan; (H.Y.)
| | - Toshihiro Tajima
- Department of Pediatrics, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan; (H.Y.)
| | - Takanori Yamagata
- Department of Pediatrics, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan; (H.Y.)
| | - Hitoshi Osaka
- Department of Pediatrics, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan; (H.Y.)
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Li Y, Chen J, Wei J, Liu X, Yu L, Yu L, Ding D, Yang Y. Metallic nanoplatforms for COVID-19 diagnostics: versatile applications in the pandemic and post-pandemic era. J Nanobiotechnology 2023; 21:255. [PMID: 37542245 PMCID: PMC10403867 DOI: 10.1186/s12951-023-01981-5] [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: 03/04/2023] [Accepted: 07/03/2023] [Indexed: 08/06/2023] Open
Abstract
The COVID-19 pandemic, which originated in Hubei, China, in December 2019, has had a profound impact on global public health. With the elucidation of the SARS-CoV-2 virus structure, genome type, and routes of infection, a variety of diagnostic methods have been developed for COVID-19 detection and surveillance. Although the pandemic has been declared over, we are still significantly affected by it in our daily lives in the post-pandemic era. Among the various diagnostic methods, nanomaterials, especially metallic nanomaterials, have shown great potential in the field of bioanalysis due to their unique physical and chemical properties. This review highlights the important role of metallic nanosensors in achieving accurate and efficient detection of COVID-19 during the pandemic outbreak and spread. The sensing mechanisms of each diagnostic device capable of analyzing a range of targets, including viral nucleic acids and various proteins, are described. Since SARS-CoV-2 is constantly mutating, strategies for dealing with new variants are also suggested. In addition, we discuss the analytical tools needed to detect SARS-CoV-2 variants in the current post-pandemic era, with a focus on achieving rapid and accurate detection. Finally, we address the challenges and future directions of metallic nanomaterial-based COVID-19 detection, which may inspire researchers to develop advanced biosensors for COVID-19 monitoring and rapid response to other virus-induced pandemics based on our current achievements.
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Affiliation(s)
- Yuqing Li
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Mate-Rials & Devices, Soochow University, Suzhou, 215123, China
| | - Jingqi Chen
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Jinchao Wei
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Xueliang Liu
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Lu Yu
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Linqi Yu
- Department of Immunization Program, Jing'an District Center for Disease Control and Prevention, Shanghai, 200072, China.
| | - Ding Ding
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Yu Yang
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China.
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Xie JW, Zheng YW, Wang M, Lin Y, He Y, Lin LR. Nasal swab is a good alternative sample for detecting SARS-CoV-2 with rapid antigen test: A meta-analysis. Travel Med Infect Dis 2023; 52:102548. [PMID: 36758806 PMCID: PMC9909360 DOI: 10.1016/j.tmaid.2023.102548] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 01/01/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND We aim to determine if nasal samples have equivalent detection sensitivity to nasopharyngeal swabs for RAT and evaluate the diagnostic accuracy of nasal swabs with RAT. METHODS PubMed and Web of Science were searched for eligible studies published before August 23, 2022. A bivariate random effects model was used to perform the quantitative synthesis. RESULTS The pooled sensitivity, pooled specificity, positive likelihood ratio, negative likelihood ratio, and summary AUC on nasal swabs with RAT were 0.81 (95% CI, 0.77-0.85), 1.00 (95% CI: 0.99-1.00), 0.97 (95% CI, 0.95-0.98), 298.91 (95% CI, 144.71-617.42) and 0.19 (95% CI, 0.15-0.23), respectively. WHO required RAT kits to perform with a sensitivity of 0.80 and a specificity of 0.97, nasal swabs (0.81) achieved the required sensitivity while nasopharyngeal swabs (0.75) did not. The symptomatic population yielded higher pooled sensitivity than the asymptomatic population (0.86 versus 0.71), with a pooled sensitivity of 0.90 for five days of symptom onset. CONCLUSION Nasal sampling had a great performance and yielded a high sensitivity in detecting SARS-CoV-2 using RAT, we believe that RAT performed with nasal swabs is a good alternative for detecting SARS-CoV-2, especially early in the onset of symptoms.
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Affiliation(s)
- Jia-Wen Xie
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China
| | - Ya-Wen Zheng
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China
| | - Mao Wang
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China
| | - Yong Lin
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China
| | - Yun He
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China
| | - Li-Rong Lin
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China.
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Jiang W, Ji W, Zhang Y, Xie Y, Chen S, Jin Y, Duan G. An Update on Detection Technologies for SARS-CoV-2 Variants of Concern. Viruses 2022; 14:v14112324. [PMID: 36366421 PMCID: PMC9693800 DOI: 10.3390/v14112324] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/15/2022] [Accepted: 10/20/2022] [Indexed: 01/18/2023] Open
Abstract
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is responsible for the global epidemic of Coronavirus Disease 2019 (COVID-19), with a significant impact on the global economy and human safety. Reverse transcription-quantitative polymerase chain reaction (RT-PCR) is the gold standard for detecting SARS-CoV-2, but because the virus's genome is prone to mutations, the effectiveness of vaccines and the sensitivity of detection methods are declining. Variants of concern (VOCs) include Alpha, Beta, Gamma, Delta, and Omicron, which are able to evade recognition by host immune mechanisms leading to increased transmissibility, morbidity, and mortality of COVID-19. A range of research has been reported on detection techniques for VOCs, which is beneficial to prevent the rapid spread of the epidemic, improve the effectiveness of public health and social measures, and reduce the harm to human health and safety. However, a meaningful translation of this that reduces the burden of disease, and delivers a clear and cohesive message to guide daily clinical practice, remains preliminary. Herein, we summarize the capabilities of various nucleic acid and protein-based detection methods developed for VOCs in identifying and differentiating current VOCs and compare the advantages and disadvantages of each method, providing a basis for the rapid detection of VOCs strains and their future variants and the adoption of corresponding preventive and control measures.
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Affiliation(s)
- Wenjie Jiang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wangquan Ji
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yu Zhang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yaqi Xie
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Shuaiyin Chen
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Molecular Medicine, Zhengzhou University, Zhengzhou 450001, China
- Correspondence: (S.C.); (Y.J.); (G.D.); Tel.: +86-13523408394 (S.C.); +86-0371-67781453 (Y.J.); +86-0371-67789797 (G.D.)
| | - Yuefei Jin
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Correspondence: (S.C.); (Y.J.); (G.D.); Tel.: +86-13523408394 (S.C.); +86-0371-67781453 (Y.J.); +86-0371-67789797 (G.D.)
| | - Guangcai Duan
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Molecular Medicine, Zhengzhou University, Zhengzhou 450001, China
- Correspondence: (S.C.); (Y.J.); (G.D.); Tel.: +86-13523408394 (S.C.); +86-0371-67781453 (Y.J.); +86-0371-67789797 (G.D.)
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