1
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Wang P. Potential Usefulness of IgA for the Early Detection of SARS-CoV-2 Infection: Comparison With IgM. Pol J Microbiol 2024; 73:123-130. [PMID: 38905276 PMCID: PMC11192524 DOI: 10.33073/pjm-2024-019] [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: 02/29/2024] [Accepted: 04/22/2024] [Indexed: 06/23/2024] Open
Abstract
Serological testing can be a powerful complementary approach to achieve timely diagnosis of severe acute respiratory coronavirus 2 (SARS-CoV-2) infection, along with nucleic acid detection. Immunoglobulin (Ig) A antibodies are less frequently utilized to detect SARS-CoV-2 infection than IgM and IgG antibodies, even though IgA antibodies play an important role in protective immunity against SARS-CoV-2. This review discusses the differences in kinetics and assay performance between IgA and IgM antibodies and the factors influencing antibody responses. It highlights the potential usefulness of analyzing IgA antibodies for the early detection of SARS-CoV-2 infection. The early appearance of IgA and the high sensitivity of IgA-based immunoassays can aid in diagnosing coronavirus disease 2019. However, because of cross-reactivity, it is important to recognize the only moderate specificity of the early detection of SARS-CoV-2 IgA antibodies against spike antigens. Either the analysis of antibodies targeting the nucleocapsid antigen or a combination of antibodies against the nucleocapsid and spike antigens may strengthen the accuracy of serological evaluation.
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Affiliation(s)
- Pei Wang
- Department of Laboratory Medicine and Blood Transfusion, Jingmen Central Hospital, Jingmen, China
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2
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LI Z, WAN Y, XU L, ZHANG W, ZHANG Y, LIAO P. Clinical and laboratory features in health care volunteers with inactivated SARS-CoV-2 vaccination. Turk J Med Sci 2023; 53:1185-1193. [PMID: 38813035 PMCID: PMC10763784 DOI: 10.55730/1300-0144.5684] [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: 10/30/2022] [Revised: 10/26/2023] [Accepted: 05/25/2023] [Indexed: 05/31/2024] Open
Abstract
Background/aim To better optimize the inactivated vaccine-induced immune response and improve vaccine protection efficiency, a preliminary study was conducted on the influencing factors of producing neutralizing antibody (NAb) titers against the inactivated coronavirus disease 2019 (COVID-19) vaccine. Materials and methods A total of 91 health care volunteers were enrolled from the Immunology Division of the Laboratory Department of Chongqing General Hospital from February to March 2021. The study had a cross-sectional design. All of the volunteers were scheduled to receive a complete dose regimen of the inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine and the vaccination interval between 2 doses was 14 days. Clinical and laboratory features were collected for further analysis. Results The NAb titers gradually increased after COVID-19 vaccination, and 72.53% (n = 66) of the volunteers had NAbs after the second dose. Eight variables, including CD16+CD56+ NK cell level before the first dose (HR = 0.94, p = 0.02), CD16+CD56+ NK cell level after the second dose (HR = 0.94, p = 0.03), interleukin (IL)-2 level before the first dose (HR = 2.09, p = 0.05), mean corpuscular volume (HR = 0.86, p = 0.02), serum urea level (HR = 0.69, p = 0.05), increment of CD19+ B cells (HR = 0.86, p = 0.03), increment of CD4+/CD8+ T cells (HR = 0.21, p = 0.03), and increment of the IL-6 level (HR = 0.75, p = 0.04) demonstrated a correlation with the NAb titers after COVID-19 vaccination. In the multivariate logistical regression analysis, the serum urea level (HR = 2.32, P = 0.03) and increment of CD19+ B cells (HR = 1.96, p = 0.03) were positively correlated with the NAb titers. The principal component analysis effectively distinguished the response after COVID-19 vaccination. The Pearson correlation analysis indicated that the CD19+ B cell level (r = 0.23, p < 0.001) and IL-2 (r = 0.24, p < 0.001) and IL-6 levels (r = 0.22, p < 0.001) were weakly positively correlated with the concentration of NAbs. Conclusion The NAbs titers of the inactivated vaccines were positively correlated with the ratio of CD19+ B cell, IL-6, and IL-2 levels in the serum, which provide clinical guidance for inactivated SARS-CoV-2 vaccines.
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Affiliation(s)
- Zhijie LI
- Chongqing Medical University, Chongqing,
China
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing,
China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing,
China
- Department of Clinical Laboratory, Chongqing General Hospital, Chongqing,
China
| | - Yafang WAN
- Department of Clinical Laboratory, Chongqing General Hospital, Chongqing,
China
| | - Lanlan XU
- Department of Clinical Laboratory, Chongqing General Hospital, Chongqing,
China
| | - Wenjia ZHANG
- Department of Clinical Laboratory, Chongqing General Hospital, Chongqing,
China
| | - Yu ZHANG
- Department of Clinical Laboratory, Chongqing General Hospital, Chongqing,
China
| | - Pu LIAO
- Chongqing Medical University, Chongqing,
China
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing,
China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing,
China
- Department of Clinical Laboratory, Chongqing General Hospital, Chongqing,
China
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3
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Liu X, Du K, Lin S, Wang Y. Deep learning on lateral flow immunoassay for the analysis of detection data. Front Comput Neurosci 2023; 17:1091180. [PMID: 36777694 PMCID: PMC9909280 DOI: 10.3389/fncom.2023.1091180] [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: 11/06/2022] [Accepted: 01/13/2023] [Indexed: 01/28/2023] Open
Abstract
Lateral flow immunoassay (LFIA) is an important detection method in vitro diagnosis, which has been widely used in medical industry. It is difficult to analyze all peak shapes through classical methods due to the complexity of LFIA. Classical methods are generally some peak-finding methods, which cannot distinguish the difference between normal peak and interference or noise peak, and it is also difficult for them to find the weak peak. Here, a novel method based on deep learning was proposed, which can effectively solve these problems. The method had two steps. The first was to classify the data by a classification model and screen out double-peaks data, and second was to realize segmentation of the integral regions through an improved U-Net segmentation model. After training, the accuracy of the classification model for validation set was 99.59%, and using combined loss function (WBCE + DSC), intersection over union (IoU) value of segmentation model for validation set was 0.9680. This method was used in a hand-held fluorescence immunochromatography analyzer designed independently by our team. A Ferritin standard curve was created, and the T/C value correlated well with standard concentrations in the range of 0-500 ng/ml (R 2 = 0.9986). The coefficients of variation (CVs) were ≤ 1.37%. The recovery rate ranged from 96.37 to 105.07%. Interference or noise peaks are the biggest obstacle in the use of hand-held instruments, and often lead to peak-finding errors. Due to the changeable and flexible use environment of hand-held devices, it is not convenient to provide any technical support. This method greatly reduced the failure rate of peak finding, which can reduce the customer's need for instrument technical support. This study provided a new direction for the data-processing of point-of-care testing (POCT) instruments based on LFIA.
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Affiliation(s)
- Xinquan Liu
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China,Xinquan Liu,
| | - Kang Du
- Tianjin Boomscience Technology Co., Ltd., Tianjin, China
| | - Si Lin
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China,Beijing Savant Biotechnology Co., Ltd., Beijing, China
| | - Yan Wang
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China,*Correspondence: Yan Wang,
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Arikan A, Sanlidag T, Sayan M, Uzun B, Uzun Ozsahin D. Fuzzy-Based PROMETHEE Method for Performance Ranking of SARS-CoV-2 IgM Antibody Tests. Diagnostics (Basel) 2022; 12:diagnostics12112830. [PMID: 36428889 PMCID: PMC9689080 DOI: 10.3390/diagnostics12112830] [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: 10/13/2022] [Revised: 11/07/2022] [Accepted: 11/14/2022] [Indexed: 11/18/2022] Open
Abstract
Antibody tests, widely used as a complementary approach to reverse transcriptase-polymerase chain reaction testing in identifying COVID-19 cases, are used to measure antibodies developed for COVID-19. This study aimed to evaluate the different parameters of the FDA-authorized SARS-CoV-2 IgM antibody tests and to rank them according to their performance levels. In the study, we involved 27 antibody tests, and the analyzes were performed using the fuzzy preference ranking organization method for the enrichment evaluation model, a multi-criteria decision-making model. While criteria such as analytical sensitivity, specificity, positive predictive value, and negative predictive value were evaluated in the study, the ranking was reported by determining the importance levels of the criteria. According to our evaluation, Innovita 2019-nCoV Ab Test (colloidal gold) was at the top of the ranking. While Cellex qSARS-CoV-2 IgG/IgM Rapid Test and Assure COVID-19 IgG/IgM Rapid Tester ranked second and third on the list, the InBios-SCoV 2 Detect Ig M ELISA Rapid Test Kit was determined as the least preferable. The fuzzy preference ranking organization method for enrichment evaluation, which has been applied to many fields, can help decision-makers choose the appropriate antibody test for managing COVID-19 in controlling the global pandemic.
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Affiliation(s)
- Ayse Arikan
- DESAM Research Institute, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey
- Department of Medical Microbiology and Clinical Microbiology, Faculty of Medicine, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey
- Department of Medical Microbiology and Clinical Microbiology, Kyrenia University, TRNC Mersin 10, Kyrenia 99320, Turkey
| | - Tamer Sanlidag
- DESAM Research Institute, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey
| | - Murat Sayan
- DESAM Research Institute, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey
- PCR Unit, Research and Education Hospital, Kocaeli University, Kocaeli 41001, Turkey
| | - Berna Uzun
- Department of Statistics, Carlos III Madrid University, 28903 Getafe, Madrid, Spain
- Department of Mathematics, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey
- Operational Research Center in Healthcare, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey
| | - Dilber Uzun Ozsahin
- Operational Research Center in Healthcare, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey
- Department of Medical Diagnostic Imaging, College of Health Sciences, Sharjah University, Sharjah 27272, United Arab Emirates
- Correspondence:
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5
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Application of Nanotechnology in COVID-19 Infection: Findings and Limitations. JOURNAL OF NANOTHERANOSTICS 2022. [DOI: 10.3390/jnt3040014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
There is an urgent need to address the global mortality of the COVID-19 pandemic, as it reached 6.3 million as of July 2022. As such, the experts recommended the mass diagnosis of SARS-CoV-2 infection at an early stage using nanotechnology-based sensitive diagnostic approaches. The development of nanobiosensors for Point-of-Care (POC) sampling of COVID-19 could ensure mass detection without the need for sophisticated laboratories or expert personnel. The use of Artificial Intelligence (AI) techniques for POC detection was also proposed. In addition, the utilization of various antiviral nanomaterials such as Silver Nanoparticles (AgNPs) for the development of masks for personal protection mitigates viral transmission. Nowadays, nano-assisted vaccines have been approved for emergency use, but their safety and effectiveness in the mutant strain of the SARS-CoV-2 virus remain challenging. Methodology: Updated literature was sourced from various research indexing databases such as PubMed, SCOPUS, Science Direct, Research Gate and Google Scholars. Result: We presented the concept of novel nanotechnology researched discovery, including nano-devices, electrochemical biosensing, nano-assisted vaccine, and nanomedicines, for use in recent times, which could be a formidable step for future management of COVID-19.
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6
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Abstract
The COVID-19 pandemic remains a significant problem involving health systems worldwide. Several diagnostic methods are reported for detecting the coronavirus in clinical, research, and public health laboratories. rRT-PCR is considered the gold standard; however, as it required skilled personnel and special equipment, rapid antigen tests have been developed and used as first-line screening. The serologic testing of antibodies can also be used to enhance the detection sensitivity and accuracy, which are used to assess the overall infection rate. This review summarizes the molecular techniques and serologic assays widely used in China and discusses the advantages and disadvantages of these techniques.
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Lin S, Song X, Zhu K, Shao Q, Chen Y, Cheng W, Lei Z, Chen Y, Luo Y, Jin D. Performance Evaluation of a Novel Ultrafast Molecular Diagnostic Device Integrated With Microfluidic Chips and Dual Temperature Modules. Front Bioeng Biotechnol 2022; 10:895236. [PMID: 35662850 PMCID: PMC9162139 DOI: 10.3389/fbioe.2022.895236] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 04/29/2022] [Indexed: 11/13/2022] Open
Abstract
Ultrafast, portable, and inexpensive molecular diagnostic platforms are critical for clinical diagnosis and on-site detection. There are currently no available real-time polymerase chain reaction (PCR) devices able to meet the demands of point-of-care testing, as the heating and cooling processes cannot be avoided. In this study, the dual temperature modules were first designed to process microfluidic chips automatically circulating between them. Thus, a novel ultrafast molecular diagnostic real-time PCR device (approximately 18 and 23 min for DNA and RNA detection, respectively) with two channels (FAM and Cy5) for the detection of 12 targets was developed. The device contained three core functional components, including temperature control, optics, and motion, which were integrated into a portable compact box. The temperature modules accurately control temperature in rapid thermal cycles with less than ±0.1 °C, ±1 °C and ±0.5 °C for the temperature fluctuation, uniformity, and error of indication, respectively. The average coefficient of variation (CV) of the fluorescence intensity (FI) for all 12 wells was 2.3% for FAM and 2.7% for Cy5. There was a good linear relationship between the concentrations of fluorescent dye and the FIs of FAM and Cy5(R2 = 0.9990 and 0.9937), and the average CVs of the Ct values calculated by the embedded software were 1.4% for FAM and Cy5, respectively. The 100 double-blind mocked sputum and 249 clinical stool samples were analyzed by the ultrafast real-time PCR device in comparison with the DAAN Gene SARS-CoV-2 kit run on the ABI 7500 instrument and Xpert C. difficile/Epi, respectively. Among the 249 stool samples, the ultrafast real-time PCR device detected toxigenic C. difficile in 54 samples (54/249, 21.7%) with a specificity and positive predictive values of 99.0 and 96.3%, which were higher than the Xpert C. difficile/Epi values of 94.4 and 88.1% (p > 0.05). The ultrafast real-time PCR device detected 15 SARS-CoV-2 positive samples, which has a 100% concordance with that obtained by the DAAN Gene SARS-CoV-2 kit. This study demonstrated that the ultrafast real-time PCR device integrated with microfluidic chips and dual temperature modules is an ultrafast, reliable, easy-to-use, and cost-effective molecular diagnostic platform for clinical diagnosis and on-site testing, especially in resource-limited settings.
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Affiliation(s)
- Shan Lin
- School of Laboratory Medicine, Hangzhou Medical College, Hangzhou, China
- Key Laboratory of Biomarkers and In Vitro Diagnosis Translation of Zhejiang Province, Hangzhou, China
| | - Xiaojun Song
- Department of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People’s Hospital, Hangzhou Medical College, Hangzhou, China
| | - Kun Zhu
- Hangzhou Biochip for Diagnosis Technology Co., Ltd., Hangzhou, China
| | - Quanyu Shao
- Hangzhou Biochip for Diagnosis Technology Co., Ltd., Hangzhou, China
| | - Yinhang Chen
- Hangzhou Biochip for Diagnosis Technology Co., Ltd., Hangzhou, China
| | - Wei Cheng
- Hangzhou Biochip for Diagnosis Technology Co., Ltd., Hangzhou, China
| | - Zhijing Lei
- Hangzhou Biochip for Diagnosis Technology Co., Ltd., Hangzhou, China
| | - Yu Chen
- School of Laboratory Medicine, Hangzhou Medical College, Hangzhou, China
- Key Laboratory of Biomarkers and In Vitro Diagnosis Translation of Zhejiang Province, Hangzhou, China
| | - Yun Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
- *Correspondence: Yun Luo, ; Dazhi Jin,
| | - Dazhi Jin
- School of Laboratory Medicine, Hangzhou Medical College, Hangzhou, China
- Key Laboratory of Biomarkers and In Vitro Diagnosis Translation of Zhejiang Province, Hangzhou, China
- Department of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People’s Hospital, Hangzhou Medical College, Hangzhou, China
- *Correspondence: Yun Luo, ; Dazhi Jin,
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Kumar A, Parihar A, Panda U, Parihar DS. Microfluidics-Based Point-of-Care Testing (POCT) Devices in Dealing with Waves of COVID-19 Pandemic: The Emerging Solution. ACS APPLIED BIO MATERIALS 2022; 5:2046-2068. [PMID: 35473316 PMCID: PMC9063993 DOI: 10.1021/acsabm.1c01320] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 04/11/2022] [Indexed: 02/08/2023]
Abstract
Recent advances in microfluidics-based point-of-care testing (POCT) technology such as paper, array, and beads have shown promising results for diagnosing various infectious diseases. The fast and timely detection of viral infection has proven to be a critical step for deciding the therapeutic outcome in the current COVID-19 pandemic, which in turn not only enhances the patient survival rate but also reduces the disease-associated comorbidities. In the present scenario, rapid, noninvasive detection of the virus using low cost and high throughput microfluidics-based POCT devices embraces the advantages over existing diagnostic technologies, for which a centralized lab facility, expensive instruments, sample pretreatment, and skilled personnel are required. Microfluidic-based multiplexed POCT devices can be a boon for clinical diagnosis in developing countries that lacks a centralized health care system and resources. The microfluidic devices can be used for disease diagnosis and exploited for the development and testing of drug efficacy for disease treatment in model systems. The havoc created by the second wave of COVID-19 led several countries' governments to the back front. The lack of diagnostic kits, medical devices, and human resources created a huge demand for a technology that can be remotely operated with single touch and data that can be analyzed on a phone. Recent advancements in information technology and the use of smartphones led to a paradigm shift in the development of diagnostic devices, which can be explored to deal with the current pandemic situation. This review sheds light on various approaches for the development of cost-effective microfluidics POCT devices. The successfully used microfluidic devices for COVID-19 detection under clinical settings along with their pros and cons have been discussed here. Further, the integration of microfluidic devices with smartphones and wireless network systems using the Internet-of-things will enable readers for manufacturing advanced POCT devices for remote disease management in low resource settings.
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Affiliation(s)
- Avinash Kumar
- Department of Mechanical Engineering,
Indian Institute of Information Technology Design & Manufacturing
Kancheepuram, Chennai 600127, India
| | - Arpana Parihar
- Industrial Waste Utilization, Nano and Biomaterials,
CSIR-Advanced Materials and Processes Research Institute
(AMPRI), Hoshangabad Road, Bhopal, Madhya Pradesh 462026,
India
| | - Udwesh Panda
- Department of Mechanical Engineering,
Indian Institute of Information Technology Design & Manufacturing
Kancheepuram, Chennai 600127, India
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Liu M, Shi L, Chen H, Wang X, Yang M, Jiao J, Yang J, Sun G. Comparison Between China and Brazil in the Two Waves of COVID-19 Prevention and Control. J Epidemiol Glob Health 2022; 12:168-181. [PMID: 35353368 PMCID: PMC8965218 DOI: 10.1007/s44197-022-00036-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 03/14/2022] [Indexed: 12/24/2022] Open
Abstract
Objective This study analyzes the effectiveness of COVID-19 prevention and control in China and Brazil from the perspectives of policy and meteorological conditions, and provides experience for epidemic prevention and control. Methods This study collects data on meteorological conditions, vaccination and mutant strains in the two countries to analyze the reasons for the differences in epidemic status between the two countries and extracts public data on COVID-19 through various official websites, summarizes the prevention and control policies implemented by the two countries, and evaluates their effectiveness. Results As of August 12, 2021, the total number of COVID-19 cases and the daily number of new COVID-19 cases in China have been growing steadily, showing remarkable results in epidemic control. The total number of confirmed cases and the daily number of new confirmed cases in Brazil have continued to increase rapidly. The total death case in Brazil has reached 560,000, far exceeding that in China, and the effect of epidemic prevention and control is not satisfactory. Conclusions Multiple factors, such as meteorological conditions, policies and strategies, and economic conditions, can influence the spread of COVID-19, and therefore, the situation varies greatly from country to country. China and Brazil have chosen different interventions in the fight against COVID-19. The policy measures taken by China are typical containment measures and Brazil has a mitigation strategy. From the perspective of the current situation of the epidemic development in both countries, the cumulative death rate and daily new confirmed cases in Brazil are much higher than those in China, which indicates that the containment strategy is more effective than mitigation strategy in preventing and controlling COVID-19. Fighting the epidemic is a global long-lasting battle, and the two countries should learn from each other with the premise of respecting their national conditions. Countries should deepen cooperation and not let up prematurely.
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Affiliation(s)
- Meiheng Liu
- Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Leiyu Shi
- Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Haiqian Chen
- Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Xiaohan Wang
- Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Manfei Yang
- Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Jun Jiao
- Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Junyan Yang
- Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Gang Sun
- Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China.
- Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.
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10
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Wambani J, Okoth P. SARS-CoV-2 origin, myths and diagnostic technology developments. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2022; 23:42. [PMID: 37521834 PMCID: PMC8893981 DOI: 10.1186/s43042-022-00255-3] [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: 10/27/2021] [Accepted: 02/09/2022] [Indexed: 12/15/2022] Open
Abstract
Background After the first case of COVID-19 being announced in China in December 2019, various diagnostic technologies have been developed at unprecedented pace with the aim of providing a basis for accurate clinical intervention. However, some assays including CRISPR-based diagnostics and loop-mediated isothermal amplification (LAMP) have been less explored. As new COVID-19 technologies emerge, there is need for them to be assessed, validated and improved upon. Moreover, there is paucity of data on the essential factors governing the selection of an appropriate diagnostic approach within the correct timeframe. Myths and origin of SARS-CoV-2 remain to be controversial. Consequently, this review aims at exploring the current COVID-19 diagnostic technologies, performance evaluation, principles, suitability, specificity, sensitivity, successes and challenges of the technologies for laboratory and bedside testing. Main Body To date, there exist more publications on COVID-19 diagnostics as compared to the Zika virus. The SARS-CoV-2 virus genome profiles were readily available by 31st of December 2019. This was attributed to the fast-paced sharing of the epidemiological and diagnostics data of COVID-19. Timely profiling of the virus genome accelerated the development of diagnostic technologies. Furthermore, the rapid publication of studies that evaluated several diagnostic methods available provided baseline information on how the various technologies work and paved way for development of novel technologies. Conclusion Up to date, RT-PCR is the most preferred as compared to the other assays. This is despite the repeated false negatives reported in many of the study findings. Considering that COVID-19 has caused devastating effects on the economy, healthcare systems, agriculture and culture, timely and accurate detection of the virus is paramount in the provision of targeted therapy hence reducing chances of drug resistance, increased treatment costs and morbidity. However, information on the origin of SARS-CoV-2 still remains elusive. Furthermore, knowledge and perception of the patients toward management of SARS-CoV-2 are also paramount to proper diagnosis and management of the pandemic. Future implications of the misperceptions are that they may lead to increased non-compliance to SARS-CoV-2-related World Health Organization (WHO) policies and guidelines.
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Affiliation(s)
- Josephine Wambani
- KEMRI HIV Laboratory, Kenya Medical Research Institute [KEMRI]-Alupe, P. O BOX 3-50400, Busia, Kenya
| | - Patrick Okoth
- Department of Biological Sciences, School of Natural Sciences, Masinde Muliro University of Science and Technology, P. O BOX 190, Kakamega, 50100 Kenya
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11
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Ahmed W, Simpson SL, Bertsch PM, Bibby K, Bivins A, Blackall LL, Bofill-Mas S, Bosch A, Brandão J, Choi PM, Ciesielski M, Donner E, D'Souza N, Farnleitner AH, Gerrity D, Gonzalez R, Griffith JF, Gyawali P, Haas CN, Hamilton KA, Hapuarachchi HC, Harwood VJ, Haque R, Jackson G, Khan SJ, Khan W, Kitajima M, Korajkic A, La Rosa G, Layton BA, Lipp E, McLellan SL, McMinn B, Medema G, Metcalfe S, Meijer WG, Mueller JF, Murphy H, Naughton CC, Noble RT, Payyappat S, Petterson S, Pitkänen T, Rajal VB, Reyneke B, Roman FA, Rose JB, Rusiñol M, Sadowsky MJ, Sala-Comorera L, Setoh YX, Sherchan SP, Sirikanchana K, Smith W, Steele JA, Sabburg R, Symonds EM, Thai P, Thomas KV, Tynan J, Toze S, Thompson J, Whiteley AS, Wong JCC, Sano D, Wuertz S, Xagoraraki I, Zhang Q, Zimmer-Faust AG, Shanks OC. Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022. [PMID: 34818780 DOI: 10.20944/preprints202104.0481.v1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in wastewater can potentially provide an early warning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA in wastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases.
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Affiliation(s)
- Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia.
| | | | - Paul M Bertsch
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Kyle Bibby
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Aaron Bivins
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Linda L Blackall
- School of BioSciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Sílvia Bofill-Mas
- Laboratory of Virus Contaminants of Water and Food, Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, 08028 Barcelona, Spain
| | - Albert Bosch
- Enteric Virus Laboratory, Department of Genetics, Microbiology and Statistics, University of Barcelona, Avda. Diagonal 643, 08028 Barcelona, Spain
| | - João Brandão
- Department of Environmental Health, National Institute of Health Dr. Ricardo Jorge, Lisboa, Portugal
| | - Phil M Choi
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia; The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Mark Ciesielski
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Erica Donner
- Future Industries Institute, University of South Australia, University Boulevard, Mawson Lakes, SA 5095, Australia
| | - Nishita D'Souza
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Andreas H Farnleitner
- Institute of Chemical, Environmental & Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostic, 166/5/3, Technische Universität Wien, Vienna, Austria; Research Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straβe 30, 3500 Krems an der Donau, Austria
| | - Daniel Gerrity
- Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA
| | - Raul Gonzalez
- Hampton Roads Sanitation District, 1434 Air Rail Avenue, Virginia Beach, VA 23455, USA
| | - John F Griffith
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Pradip Gyawali
- Institute of Environmental Science and Research Ltd (ESR), Porirua 5240, New Zealand
| | | | - Kerry A Hamilton
- School of Sustainable Engineering and the Built Environment and The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ 85287, USA
| | | | - Valerie J Harwood
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Rehnuma Haque
- Environmental Interventions Unit, Icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka 1212, Bangladesh
| | - Greg Jackson
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia
| | - Stuart J Khan
- Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales, NSW 2052, Australia
| | - Wesaal Khan
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Masaaki Kitajima
- Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
| | - Asja Korajkic
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Giuseppina La Rosa
- Department of Environment and Health, Istituto Superiore di Sanità, Rome, Italy
| | - Blythe A Layton
- Department of Research & Innovation, Clean Water Services, Hillsboro, OR, USA
| | - Erin Lipp
- Environmental Health Sciences Department, University of Georgia, Athens, GA 30602, USA
| | - Sandra L McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, WI, USA
| | - Brian McMinn
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Gertjan Medema
- KWR Water Research Institute, Groningenhaven 7, 3433 PE Nieuwegein, the Netherlands
| | - Suzanne Metcalfe
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Wim G Meijer
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Jochen F Mueller
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Heather Murphy
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Coleen C Naughton
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Rachel T Noble
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Sudhi Payyappat
- Sydney Water, 1 Smith Street, Parramatta, NSW 2150, Australia
| | - Susan Petterson
- Water and Health Pty Ltd., 13 Lord St, North Sydney, NSW 2060, Australia; School of Medicine, Griffith University, Parklands Drive, Gold Coast, Australia
| | - Tarja Pitkänen
- Finnish Institute for Health and Welfare, Expert Microbiology Unit, P.O. Box 95, FI-70701 Kuopio, Finland; University of Helsinki, Faculty of Veterinary Medicine, Department of Food Hygiene and Environmental Health, P.O. Box 66, FI-00014, Finland
| | - Veronica B Rajal
- Facultad de Ingeniería and Instituto de Investigaciones para la Industria Química (INIQUI) - CONICET and Universidad Nacional de Salta, Av. Bolivia 5150, Salta, Argentina
| | - Brandon Reyneke
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Fernando A Roman
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Joan B Rose
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Marta Rusiñol
- Institute of Environmental Assessment & Water Research (IDAEA), CSIC, Barcelona, Spain
| | - Michael J Sadowsky
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | - Laura Sala-Comorera
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Yin Xiang Setoh
- Environmental Health Institute, National Environment Agency, Singapore
| | - Samendra P Sherchan
- Department of Environmental Health Sciences, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA
| | - Kwanrawee Sirikanchana
- Research Laboratory of Biotechnology, Chulabhorn Research Institute, 54 Kampangpetch 6 Road, Laksi, Bangkok 10210, Thailand
| | - Wendy Smith
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Joshua A Steele
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Rosalie Sabburg
- CSIRO Agriculture and Food, Bioscience Precinct, St Lucia, QLD 4067, Australia
| | - Erin M Symonds
- College of Marine Science, University of South Florida, St. Petersburg, FL, USA
| | - Phong Thai
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Kevin V Thomas
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Josh Tynan
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Simon Toze
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Janelle Thompson
- Asian School of the Environment, Nanyang Technological University, Singapore 639798, Singapore; Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551
| | | | | | - Daisuke Sano
- Department of Civil and Environmental Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-06, Aramaki, Aoba-Ku, Sendai, Miyagi 980-8597, Japan
| | - Stefan Wuertz
- Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551; School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798
| | - Irene Xagoraraki
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Qian Zhang
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | | | - Orin C Shanks
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
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12
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Ahmed W, Simpson SL, Bertsch PM, Bibby K, Bivins A, Blackall LL, Bofill-Mas S, Bosch A, Brandão J, Choi PM, Ciesielski M, Donner E, D'Souza N, Farnleitner AH, Gerrity D, Gonzalez R, Griffith JF, Gyawali P, Haas CN, Hamilton KA, Hapuarachchi HC, Harwood VJ, Haque R, Jackson G, Khan SJ, Khan W, Kitajima M, Korajkic A, La Rosa G, Layton BA, Lipp E, McLellan SL, McMinn B, Medema G, Metcalfe S, Meijer WG, Mueller JF, Murphy H, Naughton CC, Noble RT, Payyappat S, Petterson S, Pitkänen T, Rajal VB, Reyneke B, Roman FA, Rose JB, Rusiñol M, Sadowsky MJ, Sala-Comorera L, Setoh YX, Sherchan SP, Sirikanchana K, Smith W, Steele JA, Sabburg R, Symonds EM, Thai P, Thomas KV, Tynan J, Toze S, Thompson J, Whiteley AS, Wong JCC, Sano D, Wuertz S, Xagoraraki I, Zhang Q, Zimmer-Faust AG, Shanks OC. Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 805:149877. [PMID: 34818780 PMCID: PMC8386095 DOI: 10.1016/j.scitotenv.2021.149877] [Citation(s) in RCA: 123] [Impact Index Per Article: 61.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/20/2021] [Accepted: 08/20/2021] [Indexed: 05/18/2023]
Abstract
Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in wastewater can potentially provide an early warning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA in wastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases.
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Affiliation(s)
- Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia.
| | | | - Paul M Bertsch
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Kyle Bibby
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Aaron Bivins
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Linda L Blackall
- School of BioSciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Sílvia Bofill-Mas
- Laboratory of Virus Contaminants of Water and Food, Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, 08028 Barcelona, Spain
| | - Albert Bosch
- Enteric Virus Laboratory, Department of Genetics, Microbiology and Statistics, University of Barcelona, Avda. Diagonal 643, 08028 Barcelona, Spain
| | - João Brandão
- Department of Environmental Health, National Institute of Health Dr. Ricardo Jorge, Lisboa, Portugal
| | - Phil M Choi
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia; The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Mark Ciesielski
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Erica Donner
- Future Industries Institute, University of South Australia, University Boulevard, Mawson Lakes, SA 5095, Australia
| | - Nishita D'Souza
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Andreas H Farnleitner
- Institute of Chemical, Environmental & Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostic, 166/5/3, Technische Universität Wien, Vienna, Austria; Research Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straβe 30, 3500 Krems an der Donau, Austria
| | - Daniel Gerrity
- Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA
| | - Raul Gonzalez
- Hampton Roads Sanitation District, 1434 Air Rail Avenue, Virginia Beach, VA 23455, USA
| | - John F Griffith
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Pradip Gyawali
- Institute of Environmental Science and Research Ltd (ESR), Porirua 5240, New Zealand
| | | | - Kerry A Hamilton
- School of Sustainable Engineering and the Built Environment and The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ 85287, USA
| | | | - Valerie J Harwood
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Rehnuma Haque
- Environmental Interventions Unit, Icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka 1212, Bangladesh
| | - Greg Jackson
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia
| | - Stuart J Khan
- Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales, NSW 2052, Australia
| | - Wesaal Khan
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Masaaki Kitajima
- Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
| | - Asja Korajkic
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Giuseppina La Rosa
- Department of Environment and Health, Istituto Superiore di Sanità, Rome, Italy
| | - Blythe A Layton
- Department of Research & Innovation, Clean Water Services, Hillsboro, OR, USA
| | - Erin Lipp
- Environmental Health Sciences Department, University of Georgia, Athens, GA 30602, USA
| | - Sandra L McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, WI, USA
| | - Brian McMinn
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Gertjan Medema
- KWR Water Research Institute, Groningenhaven 7, 3433 PE Nieuwegein, the Netherlands
| | - Suzanne Metcalfe
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Wim G Meijer
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Jochen F Mueller
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Heather Murphy
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Coleen C Naughton
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Rachel T Noble
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Sudhi Payyappat
- Sydney Water, 1 Smith Street, Parramatta, NSW 2150, Australia
| | - Susan Petterson
- Water and Health Pty Ltd., 13 Lord St, North Sydney, NSW 2060, Australia; School of Medicine, Griffith University, Parklands Drive, Gold Coast, Australia
| | - Tarja Pitkänen
- Finnish Institute for Health and Welfare, Expert Microbiology Unit, P.O. Box 95, FI-70701 Kuopio, Finland; University of Helsinki, Faculty of Veterinary Medicine, Department of Food Hygiene and Environmental Health, P.O. Box 66, FI-00014, Finland
| | - Veronica B Rajal
- Facultad de Ingeniería and Instituto de Investigaciones para la Industria Química (INIQUI) - CONICET and Universidad Nacional de Salta, Av. Bolivia 5150, Salta, Argentina
| | - Brandon Reyneke
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Fernando A Roman
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Joan B Rose
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Marta Rusiñol
- Institute of Environmental Assessment & Water Research (IDAEA), CSIC, Barcelona, Spain
| | - Michael J Sadowsky
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | - Laura Sala-Comorera
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Yin Xiang Setoh
- Environmental Health Institute, National Environment Agency, Singapore
| | - Samendra P Sherchan
- Department of Environmental Health Sciences, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA
| | - Kwanrawee Sirikanchana
- Research Laboratory of Biotechnology, Chulabhorn Research Institute, 54 Kampangpetch 6 Road, Laksi, Bangkok 10210, Thailand
| | - Wendy Smith
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Joshua A Steele
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Rosalie Sabburg
- CSIRO Agriculture and Food, Bioscience Precinct, St Lucia, QLD 4067, Australia
| | - Erin M Symonds
- College of Marine Science, University of South Florida, St. Petersburg, FL, USA
| | - Phong Thai
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Kevin V Thomas
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Josh Tynan
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Simon Toze
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Janelle Thompson
- Asian School of the Environment, Nanyang Technological University, Singapore 639798, Singapore; Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551
| | | | | | - Daisuke Sano
- Department of Civil and Environmental Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-06, Aramaki, Aoba-Ku, Sendai, Miyagi 980-8597, Japan
| | - Stefan Wuertz
- Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551; School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798
| | - Irene Xagoraraki
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Qian Zhang
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | | | - Orin C Shanks
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
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13
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Chu H, Liu C, Liu J, Yang J, Li Y, Zhang X. Recent advances and challenges of biosensing in point-of-care molecular diagnosis. SENSORS AND ACTUATORS. B, CHEMICAL 2021; 348:130708. [PMID: 34511726 PMCID: PMC8424413 DOI: 10.1016/j.snb.2021.130708] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 08/30/2021] [Accepted: 08/31/2021] [Indexed: 05/07/2023]
Abstract
Molecular diagnosis, which plays a major role in infectious disease screening with successful understanding of the human genome, has attracted more attention because of the outbreak of COVID-19 recently. Since point-of-care testing (POCT) can expand the application of molecular diagnosis with the benefit of rapid reply, low cost, and working in decentralized environments, many researchers and commercial institutions have dedicated tremendous effort and enthusiasm to POCT-based biosensing for molecular diagnosis. In this review, we firstly summarize the state-of-the-art techniques and the construction of biosensing systems for POC molecular diagnosis. Then, the application scenarios of POCT-based biosensing for molecular diagnosis were also reviewed. Finally, several challenges and perspectives of POC biosensing for molecular diagnosis are discussed. This review is expected to help researchers deepen comprehension and make progresses in POCT-based biosensing field for molecular diagnosis applications.
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Affiliation(s)
- Hongwei Chu
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China
| | - Conghui Liu
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
| | - Jinsen Liu
- Shenzhen ENCO Instrument Co., Ltd, Shenzhen 518000, China
| | - Jiao Yang
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China
| | - Yingchun Li
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China
| | - Xueji Zhang
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
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14
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Andryukov BG, Besednova NN, Kuznetsova TA, Fedyanina LN. Laboratory-Based Resources for COVID-19 Diagnostics: Traditional Tools and Novel Technologies. A Perspective of Personalized Medicine. J Pers Med 2021; 11:jpm11010042. [PMID: 33451039 PMCID: PMC7828525 DOI: 10.3390/jpm11010042] [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: 12/12/2020] [Revised: 01/09/2021] [Accepted: 01/12/2021] [Indexed: 01/08/2023] Open
Abstract
The coronavirus infection 2019 (COVID-19) pandemic, caused by the highly contagious SARS-CoV-2 virus, has provoked a global healthcare and economic crisis. The control over the spread of the disease requires an efficient and scalable laboratory-based strategy for testing the population based on multiple platforms to provide rapid and accurate diagnosis. With the onset of the pandemic, the reverse transcription polymerase chain reaction (RT-PCR) method has become a standard diagnostic tool, which has received wide clinical use. In large-scale and repeated examinations, these tests can identify infected patients with COVID-19, with their accuracy, however, dependent on many factors, while the entire process takes up to 6–8 h. Here we also describe a number of serological systems for detecting antibodies against SARS-CoV-2. These are used to assess the level of population immunity in various categories of people, as well as for retrospective diagnosis of asymptomatic and mild COVID-19 in patients. However, the widespread use of traditional diagnostic tools in the context of the rapid spread of COVID-19 is hampered by a number of limitations. Therefore, the sharp increase in the number of patients with COVID-19 necessitates creation of new rapid, inexpensive, sensitive, and specific tests. In this regard, we focus on new laboratory technologies such as loop mediated isothermal amplification (LAMP) and lateral flow immunoassay (LFIA), which have proven to work well in the COVID-19 diagnostics and can become a worthy alternative to traditional laboratory-based diagnostics resources. To cope with the COVID-19 pandemic, the healthcare system requires a combination of various types of laboratory diagnostic testing techniques, whodse sensitivity and specificity increases with the progress in the SARS-CoV-2 research. The testing strategy should be designed in such a way to provide, depending on the timing of examination and the severity of the infection in patients, large-scale and repeated examinations based on the principle: screening–monitoring–control. The search and development of new methods for rapid diagnostics of COVID-19 in laboratory, based on new analytical platforms, is still a highly important and urgent healthcare issue. In the final part of the review, special emphasis is made on the relevance of the concept of personalized medicine to combat the COVID-19 pandemic in the light of the recent studies carried out to identify the causes of variation in individual susceptibility to SARS-CoV-2 and increase the efficiency and cost-effectiveness of treatment.
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Affiliation(s)
- Boris G. Andryukov
- G.P. Somov Institute of Epidemiology and Microbiology, Russian Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing, 690087 Vladivostok, Russia; (N.N.B.); (T.A.K.)
- School of Biomedicine, Far Eastern Federal University (FEFU), 690091 Vladivostok, Russia;
- Correspondence: ; Tel.: +7-4232-304-647
| | - Natalya N. Besednova
- G.P. Somov Institute of Epidemiology and Microbiology, Russian Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing, 690087 Vladivostok, Russia; (N.N.B.); (T.A.K.)
| | - Tatyana A. Kuznetsova
- G.P. Somov Institute of Epidemiology and Microbiology, Russian Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing, 690087 Vladivostok, Russia; (N.N.B.); (T.A.K.)
| | - Ludmila N. Fedyanina
- School of Biomedicine, Far Eastern Federal University (FEFU), 690091 Vladivostok, Russia;
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15
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Szkaradkiewicz-Karpińska AK, Szkaradkiewicz A. Towards a more effective strategy for COVID-19 prevention (Review). Exp Ther Med 2020; 21:33. [PMID: 33262819 PMCID: PMC7690340 DOI: 10.3892/etm.2020.9465] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 10/28/2020] [Indexed: 12/12/2022] Open
Abstract
At the end of 2019, a new disease, similar to severe acute respiratory syndrome (SARS) associated with SARS-CoV was reported in Wuhan, China. It was quickly discovered that the etiological factor of the new disease (COVID-19) was a previously unknown SARS coronavirus 2 (SARS-CoV-2). The global spread of of COVID-19 has lead to the declaration of a pandemic status in 2019-2020 as declared by the World Health Organization and Public Health Emergency of International Concern. SARS-CoV-2 characterizes with high epidemic potential and is effectively disseminated between humans. SARS-CoV and SARS-CoV-2 are closely related pathogens. Their prime route of distribution is air-droplet transmission. Combating infectious diseases disseminated by inhalation is very difficult, and mainly relies on the use of vaccines. However, despite the lack of an effective anti-SARS-CoV vaccine and specific antiviral drugs, the strict sanitary procedures proved to be sufficient to stop the SARS epidemic in June 2003. However, epidemic research has indicated that SARS-CoV-2 is transmitted in humans significantly more effectively than SARS-CoV; therefore, the COVID-19 pandemic continues to expand. This indicates that the so far anti-epidemic activities to control COVID-19 are insufficient. In the current review, the possibility of using interferon α (IFN-α) as a preventive agent of COVID-19 is discussed. The current data concerning anti-COVID-19 vaccines and specific drugs against SARS-CoV-2 are also discussed. The aim of the current review is to contribute to the introduction of a more efficient strategy in the protection of the human population against COVID-19.
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Affiliation(s)
- Anna K Szkaradkiewicz-Karpińska
- Department of Preclinical Conservative Dentistry and Preclinical Endodontics, University of Medical Sciences, 60-812 Poznań, Poland
| | - Andrzej Szkaradkiewicz
- Institute of Health and Physical Culture, State Higher Vocational School, 64-100 Leszno, Poland
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