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Rafique Q, Rehman A, Afghan MS, Ahmad HM, Zafar I, Fayyaz K, Ain Q, Rayan RA, Al-Aidarous KM, Rashid S, Mushtaq G, Sharma R. Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations. Comput Biol Med 2023; 163:107191. [PMID: 37354819 PMCID: PMC10281043 DOI: 10.1016/j.compbiomed.2023.107191] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/28/2023] [Accepted: 06/19/2023] [Indexed: 06/26/2023]
Abstract
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately detecting the novel coronavirus and its variants. Deep learning (DL) techniques have shown promising potential as screening tools for COVID-19 detection. In this study, we explore the realistic development of DL-driven COVID-19 detection methods and focus on the fully automatic framework using available resources, which can effectively investigate various coronavirus variants through modalities. We conducted an exploration and comparison of several diagnostic techniques that are widely used and globally validated for the detection of COVID-19. Furthermore, we explore review-based studies that provide detailed information on synergistic medicine combinations for the treatment of COVID-19. We recommend DL methods that effectively reduce time, cost, and complexity, providing valuable guidance for utilizing available synergistic combinations in clinical and research settings. This study also highlights the implication of innovative diagnostic technical and instrumental strategies, exploring public datasets, and investigating synergistic medicines using optimised DL rules. By summarizing these findings, we aim to assist future researchers in their endeavours by providing a comprehensive overview of the implication of DL techniques in COVID-19 detection and treatment. Integrating DL methods with various diagnostic approaches holds great promise in improving the accuracy and efficiency of COVID-19 diagnostics, thus contributing to effective control and management of the ongoing pandemic.
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Affiliation(s)
- Qandeel Rafique
- Department of Internal Medicine, Sahiwal Medical College, Sahiwal, 57040, Pakistan.
| | - Ali Rehman
- Department of General Medicine Govt. Eye and General Hospital Lahore, 54000, Pakistan.
| | - Muhammad Sher Afghan
- Department of Internal Medicine District Headquarter Hospital Faislaabad, 62300, Pakistan.
| | - Hafiz Muhamad Ahmad
- Department of Internal Medicine District Headquarter Hospital Bahawalnagar, 62300, Pakistan.
| | - Imran Zafar
- Department of Bioinformatics and Computational Biology, Virtual University Pakistan, 44000, Pakistan.
| | - Kompal Fayyaz
- Department of National Centre for Bioinformatics, Quaid-I-Azam University Islamabad, 45320, Pakistan.
| | - Quratul Ain
- Department of Chemistry, Government College Women University Faisalabad, 03822, Pakistan.
| | - Rehab A Rayan
- Department of Epidemiology, High Institute of Public Health, Alexandria University, 21526, Egypt.
| | - Khadija Mohammed Al-Aidarous
- Department of Computer Science, College of Science and Arts in Sharurah, Najran University, 51730, Saudi Arabia.
| | - Summya Rashid
- Department of Pharmacology & Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj, 11942, Saudi Arabia.
| | - Gohar Mushtaq
- Center for Scientific Research, Faculty of Medicine, Idlib University, Idlib, Syria.
| | - Rohit Sharma
- Department of Rasashastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
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Gajula SNR, Khairnar AS, Jock P, Kumari N, Pratima K, Munjal V, Kalan P, Sonti R. LC-MS/MS: A sensitive and selective analytical technique to detect COVID-19 protein biomarkers in the early disease stage. Expert Rev Proteomics 2023; 20:5-18. [PMID: 36919634 DOI: 10.1080/14789450.2023.2191845] [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: 03/16/2023]
Abstract
INTRODUCTION The COVID-19 outbreak has put enormous pressure on the scientific community to detect infection rapidly, identify the status of disease severity, and provide an immediate vaccine/drug for the treatment. Relying on immunoassay and a real-time reverse transcription polymerase chain reaction (rRT-PCR) led to many false-negative and false-positive reports. Therefore, detecting biomarkers is an alternative and reliable approach for determining the infection, its severity, and disease progression. Recent advances in liquid chromatography and mass spectrometry (LC-MS/MS) enable the protein biomarkers even at low concentrations, thus facilitating clinicians to monitor the treatment in hospitals. AREAS COVERED This review highlights the role of LC-MS/MS in identifying protein biomarkers and discusses the clinically significant protein biomarkers such as Serum amyloid A, Interleukin-6, C-Reactive Protein, Lactate dehydrogenase, D-dimer, cardiac troponin, ferritin, Alanine transaminase, Aspartate transaminase, gelsolin and galectin-3-binding protein in COVID-19, and their analysis by LC-MS/MS in the early stage. EXPERT OPINION Clinical doctors monitor significant biomarkers to understand, stratify, and treat patients according to disease severity. Knowledge of clinically significant COVID-19 protein biomarkers is critical not only for COVID-19 caused by the coronavirus but also to prepare us for future pandemics of other diseases in detecting by LC-MS/MS at the early stages.
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Affiliation(s)
- Siva Nageswara Rao Gajula
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Balanagar, India
| | - Ankita Sahebrao Khairnar
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Balanagar, India
| | - Pallavi Jock
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Balanagar, India
| | - Nikita Kumari
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Balanagar, India
| | - Kendre Pratima
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Balanagar, India
| | - Vijay Munjal
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Balanagar, India
| | - Pavan Kalan
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Balanagar, India
| | - Rajesh Sonti
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Balanagar, India
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Quraishi E, Jibuaku C, Lisik D, Wennergren G, Lötvall J, Nyberg F, Ekerljung L, Rådinger M, Kankaanranta H, Nwaru BI. Comparison of clinician diagnosis of COVID-19 with real time polymerase chain reaction in an adult-representative population in Sweden. Respir Res 2023; 24:10. [PMID: 36631852 PMCID: PMC9832414 DOI: 10.1186/s12931-023-02315-7] [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: 09/10/2022] [Accepted: 01/04/2023] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Due to the high transmissibility of SARS-CoV-2, accurate diagnosis is essential for effective infection control, but the gold standard, real-time reverse transcriptase-polymerase chain reaction (RT-PCR), is costly, slow, and test capacity has at times been insufficient. We compared the accuracy of clinician diagnosis of COVID-19 against RT-PCR in a general adult population. METHODS COVID-19 diagnosis data by 30th September 2021 for participants in an ongoing population-based cohort study of adults in Western Sweden were retrieved from registers, based on positive RT-PCR and clinician diagnosis using recommended ICD-10 codes. We calculated accuracy measures of clinician diagnosis using RT-PCR as reference for all subjects and stratified by age, gender, BMI, and comorbidity collected pre-COVID-19. RESULTS Of 42,621 subjects, 3,936 (9.2%) and 5705 (13.4%) had had COVID-19 identified by RT-PCR and clinician diagnosis, respectively. Sensitivity and specificity of clinician diagnosis against RT-PCR were 78% (95%CI 77-80%) and 93% (95%CI 93-93%), respectively. Positive predictive value (PPV) was 54% (95%CI 53-55%), while negative predictive value (NPV) was 98% (95%CI 98-98%) and Youden's index 71% (95%CI 70-72%). These estimates were similar between men and women, across age groups, BMI categories, and between patients with and without asthma. However, while specificity, NPV, and Youden's index were similar between patients with and without chronic obstructive pulmonary disease (COPD), sensitivity was slightly higher in patients with (84% [95%CI 74-90%]) than those without (78% [95%CI 77-79%]) COPD. CONCLUSIONS The accuracy of clinician diagnosis for COVID-19 is adequate, regardless of gender, age, BMI, and asthma, and thus can be used for screening purposes to supplement RT-PCR.
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Affiliation(s)
- Eman Quraishi
- grid.8761.80000 0000 9919 9582Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Chiamaka Jibuaku
- grid.8761.80000 0000 9919 9582Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Daniil Lisik
- grid.8761.80000 0000 9919 9582Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Göran Wennergren
- grid.8761.80000 0000 9919 9582Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden ,grid.8761.80000 0000 9919 9582Department of Paediatrics, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Jan Lötvall
- grid.8761.80000 0000 9919 9582Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Fredrik Nyberg
- grid.8761.80000 0000 9919 9582School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Linda Ekerljung
- grid.8761.80000 0000 9919 9582Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Madeleine Rådinger
- grid.8761.80000 0000 9919 9582Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Hannu Kankaanranta
- grid.8761.80000 0000 9919 9582Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden ,grid.502801.e0000 0001 2314 6254Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland ,grid.415465.70000 0004 0391 502XDepartment of Respiratory Medicine, Seinäjoki Central Hospital, Tampere, Finland
| | - Bright I. Nwaru
- grid.8761.80000 0000 9919 9582Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden ,grid.8761.80000 0000 9919 9582Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
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Thomas RE, Sukumaran A, Krishnan R A, Thomas T, Edwin BT, Haritha PR, Varghese BM, Paul JK, Kumar C S S, Vasudevan DM. Impact of Covishield Vaccination in Terms of SARS CoV-2 Neutralizing Antibody Expression. Indian J Clin Biochem 2023; 38:51-58. [PMID: 35465605 PMCID: PMC9012865 DOI: 10.1007/s12291-022-01030-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/26/2022] [Indexed: 01/24/2023]
Abstract
The vaccination efficacy can indirectly be assessed through the quantification of neutralizing antibodies. Very few data are available on Covishield efficacy in terms of neutralizing antibody expression upon vaccination. This study is focused on profiling of neutralizing antibody expression during and after the Covishield two shot vaccination and observing COVID-19 infection in vaccinated participants during the period. SARS CoV-2 neutralizing antibody concentrations in samples were estimated using electrochemiluminescence immunoassay kit for Lifotronics eCL8000. The sampling had been done sequentially at 45th, 85th day after 1st dose and 15th day after 2nd dose Covishield vaccination. Parallelly, in order to confirm the total SARS CoV-2 IgG response in COVID-19 infection, measured the IgG using SARS CoV-2 IgG lateral flow immunoassay test kit. The subjects previously infected with COVID-19 before 1st dose vaccination demonstrated high neutralizing antibody (> 10AU/ml). In COVID-19 uninfected subjects, there was a sudden incline in neutralizing antibody after the 2nd dose. Infection with SARS CoV-2 between 1st and 2nd dose of Covishield vaccination implicate that the level of neutralizing antibody in serum after 1st dose was not adequate to combat the virus and prevent infection. We observed COVID-19 infection in participants even after 2nd dose of vaccination. Interestingly, there was no protection against SARS CoV-2 even with a high neutralizing antibody expression of 188.5 AU/mL after the 2nd dose. Findings of Covishield efficacy in different cohort samples before and after 2 doses of Covishield vaccination provide impetus for improvement or development of next generation vaccines.
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Affiliation(s)
- Rhema Elizabeth Thomas
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
| | - Ajaikumar Sukumaran
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
| | - Arun Krishnan R
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
| | - Thushara Thomas
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
| | - Biby T Edwin
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
| | - P R Haritha
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
| | - Bilha M Varghese
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
| | - Jofy K Paul
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
| | - Satheesh Kumar C S
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
| | - D M Vasudevan
- Agappe Diagnostics Limited, Research & Development Department, Agappe Hills, Pattimattom P O, Ernakulam, Kerala India
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Irkham I, Ibrahim AU, Nwekwo CW, Al-Turjman F, Hartati YW. Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review. SENSORS (BASEL, SWITZERLAND) 2022; 23:426. [PMID: 36617023 PMCID: PMC9824404 DOI: 10.3390/s23010426] [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: 11/26/2022] [Revised: 12/14/2022] [Accepted: 12/21/2022] [Indexed: 06/17/2023]
Abstract
Despite the fact that COVID-19 is no longer a global pandemic due to development and integration of different technologies for the diagnosis and treatment of the disease, technological advancement in the field of molecular biology, electronics, computer science, artificial intelligence, Internet of Things, nanotechnology, etc. has led to the development of molecular approaches and computer aided diagnosis for the detection of COVID-19. This study provides a holistic approach on COVID-19 detection based on (1) molecular diagnosis which includes RT-PCR, antigen-antibody, and CRISPR-based biosensors and (2) computer aided detection based on AI-driven models which include deep learning and transfer learning approach. The review also provide comparison between these two emerging technologies and open research issues for the development of smart-IoMT-enabled platforms for the detection of COVID-19.
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Affiliation(s)
- Irkham Irkham
- Department of Chemistry, Faculty of Mathematics and Natural Sciences, Padjadjaran University, Bandung 40173, Indonesia
| | | | - Chidi Wilson Nwekwo
- Department of Biomedical Engineering, Near East University, Mersin 99138, Turkey
| | - Fadi Al-Turjman
- Research Center for AI and IoT, Faculty of Engineering, University of Kyrenia, Mersin 99138, Turkey
- Artificial Intelligence Engineering Department, AI and Robotics Institute, Near East University, Mersin 99138, Turkey
| | - Yeni Wahyuni Hartati
- Department of Chemistry, Faculty of Mathematics and Natural Sciences, Padjadjaran University, Bandung 40173, Indonesia
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6
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Novel bridge multi-species ELISA for detection of SARS-CoV-2 antibodies. J Immunol Methods 2022; 511:113365. [PMID: 36202252 PMCID: PMC9529351 DOI: 10.1016/j.jim.2022.113365] [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: 04/28/2022] [Revised: 09/28/2022] [Accepted: 09/28/2022] [Indexed: 11/06/2022]
Abstract
Considering the course of the current SARS-CoV-2 pandemic, it is important to have serological tests for monitoring humoral immune response against SARS-CoV-2 infection and vaccination. Herein we describe a novel bridge enzyme-linked immunosorbent assay (b-ELISA) for SARS-CoV-2 antibodies detection in human and other species, employing recombinant Spike protein as a unique antigen, which is produced at high scale in insect larvae. METHODS Eighty two human control sera/plasmas and 169 COVID-19 patients' sera/plasmas, confirmed by rRT-PCR, were analyzed by the b-ELISA assay. In addition, a total of 27 animal sera (5 horses, 13 rats, 2 cats and 7 dogs) were employed in order to evaluate the b-ELISA in other animal species. RESULTS Out of the 169 patient samples, 129 were positive for IgG anti-SARS-CoV-2 and 40 were negative when they were tested by ELISA COVIDAR® IgG. When a cut-off value of 5.0 SDs was established, 124 out of the 129 COVID-19 positive samples were also positive by our developed b-ELISA (sensitivity: 96.12%). Moreover, the test was able to evaluate the humoral immune response in animal models and also detected as positive a naturally infected cat and two dogs with symptoms, whose owners had suffered the COVID-19 disease. CONCLUSION The obtained results demonstrate that the method developed herein is versatile, as it is able to detect antibodies against SARS-CoV-2 in different animal species without the need to perform and optimize a new assay for each species.
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Yu J, Qin Z, Liu X, He X, Yao J, Zhou X, Wen K, Yu N, Wu Q, Xiao W, Zhu L, Wan C, Zhang B, Zhao W. High-specificity targets in SARS-CoV-2 N protein for serological detection and distinction from SARS-CoV. Comput Biol Med 2022; 143:105272. [PMID: 35121361 PMCID: PMC8799378 DOI: 10.1016/j.compbiomed.2022.105272] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/14/2022] [Accepted: 01/24/2022] [Indexed: 12/18/2022]
Abstract
Numerous serological detection kits are being rapidly developed and approved for screening and diagnosing suspected coronavirus disease 2019 (COVID-19) cases. However, cross-reactivity between pre-existing antibodies against other coronaviruses and the captured antigens in these kits can affect detection accuracy, emphasizing the necessity for identifying highly specific antigen fragments for antibody detection. Thus, we performed a conservation and specificity analysis of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N) protein. We also integrated various B-cell epitope prediction methods to obtain possible dominant epitope regions for the N protein, analyzed the differences in serological antibody levels for different epitopes using ELISA, and identified N protein epitopes for IgG and IgM with high-specificity. The SARS-CoV-2 N protein showed low mutation rates and shared the highest amino acid similarity with SARS-CoV; however, it differed substantially from other coronaviruses. Tests targeting the SARS-CoV-2 N protein produce strong positive results in patients recovering from SARS-CoV. The N18-39 and N183-197 epitopes for IgG and IgM detection, respectively, can effectively overcome cross-reactivity, and even exhibit good specificity between SARS-CoV-2 and SARS-CoV. The antibody levels detected with these were consistent with those detected using the complete N protein. These findings provide a basis for serological diagnosis and determining the kinetics of SARS-CoV-2 antibody detection in patients.
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Affiliation(s)
- Jianhai Yu
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
| | - Zhiran Qin
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
| | - Xuling Liu
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
| | - Xiaoen He
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
| | - Jinxiu Yao
- Yangjiang People's Hospital, No.42 Dongshan Road, Yangjiang, Guangdong Province, 529500, China.
| | - Xuan Zhou
- Department of Laboratory Medicine, Guangdong Second Provincial General Hospital, No. 466, Xingang Middle Road, Guangzhou, Guangdong Province, 510317, China.
| | - Kun Wen
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, No. 253, Industrial Avenue Middle, Guangzhou, Guangdong Province, 510282, China.
| | - Nan Yu
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, No. 253, Industrial Avenue Middle, Guangzhou, Guangdong Province, 510282, China.
| | - Qinghua Wu
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
| | - Weiwei Xiao
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
| | - Li Zhu
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
| | - Chengsong Wan
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
| | - Bao Zhang
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
| | - Wei Zhao
- Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China.
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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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Nentin F, Gabbur N, Katz A. A Shift in Medical Education During the COVID-19 Pandemic. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1318:773-784. [PMID: 33973211 DOI: 10.1007/978-3-030-63761-3_43] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
The COVID-19 pandemic has abruptly affected every aspect of people's daily lives worldwide. Just like every other area, the medical field has been dramatically impacted by the need to care for a large number of patients while at the same time protecting staff, patients, and their families. Changes in the wake of the pandemic called for the prompt and extensive rechanneling and re-organization of resources. The pandemic has opened challenges and concerns for patient safety, starting with the early recognition that individuals, including medical staff, may spread the virus during the asymptomatic phase. Many healthcare facilities faced resource-limited settings, including challenges in the availability of personal protective equipment for healthcare providers. Additionally, the pandemic has disrupted medical education, both at the undergraduate and at the graduate levels, and according to many predictions, its effects may forever transform the ways medical education is delivered. In this chapter, we are exploring the history of medical education, describe changes in medical education experienced during the COVID-19 pandemic, and predict some of the considerations worth taking into account when envisioning the future of medical education.
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Affiliation(s)
- Farida Nentin
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nagaraj Gabbur
- Department of Obstetrics and Gynecology, Zucker School of Medicine at Hofstra/Northwell, North Shore University Hospital and Long Island Jewish Medical Centers, Manhasset, NY, USA
| | - Adi Katz
- Department of Obstetrics and Gynecology, Zucker School of Medicine at Hofstra/Northwell, Lenox Hill Hospital, New York, NY, USA.
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Ji C, Xue S, Yu M, Liu J, Zhang Q, Zuo F, Zheng Q, Zhao L, Zhang H, Cao J, Wang K, Liu W, Zheng W. Rapid Detection of SARS-CoV-2 Virus Using Dual Reverse Transcriptional Colorimetric Loop-Mediated Isothermal Amplification. ACS OMEGA 2021; 6:8837-8849. [PMID: 33842755 PMCID: PMC8008787 DOI: 10.1021/acsomega.0c05781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 03/09/2021] [Indexed: 05/12/2023]
Abstract
The outbreak and pandemic of COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has developed into a public health emergency of international concern. The rapid and accurate detection of the virus is a critical means to prevent and control the disease. Herein, we provide a novel, rapid, and simple approach, named dual reverse transcriptional colorimetric loop-mediated isothermal amplification (dRT-cLAMP) assay, to accelerate the detection of the SARS-CoV-2 virus without using expensive equipment. The result of this assay is shown by color change and is easily detected by the naked eye. To improve the detection accuracy, we included two primer sets that specifically target the viral orf1ab and N genes in the same reaction mixture. Our assay can detect the synthesized SARS-CoV-2 N and orf1ab genes at a low level of 100 copies/μL. Sequence alignment analysis of the two synthesized genes and those of 9968 published SARS-CoV-2 genomes and 17 genomes of other pathogens from the same infection site or similar symptoms as COVID-19 revealed that the primers for the dRT-cLAMP assay are highly specific. Our assay of 27 clinical samples of SARS-CoV-2 virus and 27 standard-added environmental simulation samples demonstrated that compared to the commercial kits, the consistency of the positive, negative, and probable clinical samples was 100, 92.31, and 44.44%, respectively. Moreover, our results showed that the positive, but not negative, standard-added samples displayed a naked-eye-detectable color change. Together, our results demonstrate that the dRT-cLAMP assay is a feasible detection assay for SARS-CoV-2 virus and is of great significance since rapid onsite detection of the virus is urgently needed at the ports of entry, health care centers, and for internationally traded goods.
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Affiliation(s)
- Chao Ji
- State
Key Laboratory for Conservation and Utilization of Bio-Resources in
Yunnan, Yunnan Agricultural University, Kunming 650201, P. R. China
- Key
Laboratory for Agro-Biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming 650201, P. R. China
- Laboratory
for Quality Control and Traceability of Food, Tianjin Normal University, Tianjin 300387, P. R. China
| | - Shuxia Xue
- Laboratory
for Quality Control and Traceability of Food, Tianjin Normal University, Tianjin 300387, P. R. China
| | - Min Yu
- Department
of Gynecologic Oncology, Tianjin Medical University Cancer Institute
and Hospital, National Clinical Research
Center for Cancer, Tianjin 300060, P. R. China
| | - Jinyu Liu
- Laboratory
for Quality Control and Traceability of Food, Tianjin Normal University, Tianjin 300387, P. R. China
| | - Qin Zhang
- Laboratory
for Quality Control and Traceability of Food, Tianjin Normal University, Tianjin 300387, P. R. China
| | - Feng Zuo
- Tianjin
Customs District, Tianjin 300308, China
| | - Qiuyue Zheng
- Key Laboratory
of Biotechnology and Bioresources Utilization of Ministry of Education,
College of Life Science, Dalian Minzu University, Dalian 116600, P. R. China
| | | | | | - Jijuan Cao
- Key Laboratory
of Biotechnology and Bioresources Utilization of Ministry of Education,
College of Life Science, Dalian Minzu University, Dalian 116600, P. R. China
| | - Ke Wang
- Department
of Gynecologic Oncology, Tianjin Medical University Cancer Institute
and Hospital, National Clinical Research
Center for Cancer, Tianjin 300060, P. R. China
| | - Wei Liu
- Tianjin
Customs District, Tianjin 300308, China
| | - Wenjie Zheng
- Laboratory
for Quality Control and Traceability of Food, Tianjin Normal University, Tianjin 300387, P. R. China
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11
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Peng T, Sui Z, Huang Z, Xie J, Wen K, Zhang Y, Huang W, Mi W, Peng K, Dai X, Fang X. Point-of-care test system for detection of immunoglobulin-G and -M against nucleocapsid protein and spike glycoprotein of SARS-CoV-2. SENSORS AND ACTUATORS. B, CHEMICAL 2021; 331:129415. [PMID: 33519091 DOI: 10.1016/j.snb.2020.129414] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 12/13/2020] [Accepted: 12/28/2020] [Indexed: 05/27/2023]
Abstract
The coronavirus disease 2019 (COVID-19) epidemic continues to ravage the world. In epidemic control, dealing with a large number of samples is a huge challenge. In this study, a point-of-care test (POCT) system was successfully developed and applied for rapid and accurate detection of immunoglobulin-G and -M against nucleocapsid protein (anti-N IgG/IgM) and receptor-binding domain in spike glycoprotein (anti-S-RBD IgG/IgM) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Any one of the IgG/IgM found in a sample was identified as positive. The POCT system contains colloidal gold-based lateral flow immunoassay test strips, homemade portable reader, and certified reference materials, which detected anti-N and anti-S-RBD IgG/IgM objectively in serum within 15 min. Receiver operating characteristic curve analysis was used to determine the optimal cutoff values, sensitivity, and specificity. It exhibited equal to or better performances than four approved commercial kits. Results of the system and chemiluminescence immunoassay kit detecting 108 suspicious samples had high consistency with kappa coefficient at 0.804 (P < 0.001). Besides, the levels and alterations of the IgG/IgM in an inpatient were primarily investigated by the POCT system. Those results suggested the POCT system possess the potential to contribute to rapid and accurate serological diagnosis and epidemiological survey of COVID-19.
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Affiliation(s)
- Tao Peng
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Zhiwei Sui
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | | | - Jie Xie
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Kai Wen
- College of Veterinary Medicine, China Agricultural University, 100193, Beijing, PR China
| | - Yongzhuo Zhang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Wenfeng Huang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, PR China
| | - Wei Mi
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Ke Peng
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, PR China
| | - Xinhua Dai
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Xiang Fang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
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12
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Peng T, Sui Z, Huang Z, Xie J, Wen K, Zhang Y, Huang W, Mi W, Peng K, Dai X, Fang X. Point-of-care test system for detection of immunoglobulin-G and -M against nucleocapsid protein and spike glycoprotein of SARS-CoV-2. SENSORS AND ACTUATORS. B, CHEMICAL 2021; 331:129415. [PMID: 33519091 PMCID: PMC7833039 DOI: 10.1016/j.snb.2020.129415] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 12/13/2020] [Accepted: 12/28/2020] [Indexed: 05/02/2023]
Abstract
The coronavirus disease 2019 (COVID-19) epidemic continues to ravage the world. In epidemic control, dealing with a large number of samples is a huge challenge. In this study, a point-of-care test (POCT) system was successfully developed and applied for rapid and accurate detection of immunoglobulin-G and -M against nucleocapsid protein (anti-N IgG/IgM) and receptor-binding domain in spike glycoprotein (anti-S-RBD IgG/IgM) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Any one of the IgG/IgM found in a sample was identified as positive. The POCT system contains colloidal gold-based lateral flow immunoassay test strips, homemade portable reader, and certified reference materials, which detected anti-N and anti-S-RBD IgG/IgM objectively in serum within 15 min. Receiver operating characteristic curve analysis was used to determine the optimal cutoff values, sensitivity, and specificity. It exhibited equal to or better performances than four approved commercial kits. Results of the system and chemiluminescence immunoassay kit detecting 108 suspicious samples had high consistency with kappa coefficient at 0.804 (P < 0.001). Besides, the levels and alterations of the IgG/IgM in an inpatient were primarily investigated by the POCT system. Those results suggested the POCT system possess the potential to contribute to rapid and accurate serological diagnosis and epidemiological survey of COVID-19.
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Affiliation(s)
- Tao Peng
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Zhiwei Sui
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | | | - Jie Xie
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Kai Wen
- College of Veterinary Medicine, China Agricultural University, 100193, Beijing, PR China
| | - Yongzhuo Zhang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Wenfeng Huang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, PR China
| | - Wei Mi
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Ke Peng
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, PR China
| | - Xinhua Dai
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
| | - Xiang Fang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, PR China
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13
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Rathi H, Burman V, Datta SK, Rana SV, Mirza AA, Saha S, Kumar R, Naithani M. Review on COVID-19 Etiopathogenesis, Clinical Presentation and Treatment Available with Emphasis on ACE2. Indian J Clin Biochem 2021; 36:3-22. [PMID: 33424145 PMCID: PMC7778574 DOI: 10.1007/s12291-020-00953-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 12/19/2020] [Indexed: 02/07/2023]
Abstract
In December 2019, Wuhan city in the Hubei province of China reported for the first time a cluster of patients infected with a novel coronavirus, since then there has been an outburst of this disease across the globe affecting millions of human inhabitants. Severe acute respiratory syndrome coronavirus type-2 (SARS-CoV-2), is a member of beta coronavirus family which upon exposure caused a highly infectious disease called novel coronavirus disease-2019 (COVID-19). COVID-19, a probably bat originated disease was declared by World Health Organization (WHO) as a global pandemic in March 2020. Since then, despite rigorous global containment and quarantine efforts, the disease has affected nearly 56,261,952 laboratory confirmed human population and caused deaths of over 1,349,506 lives worldwide. Virus passes in majority through respiratory droplets and then enters lung epithelial cells by binding to angiotensin converting enzyme 2 (ACE2) receptor and there it undergoes replication and targeting host cells causing severe pathogenesis. Majority of human population exposed to SARS-CoV-2 having fully functional immune system undergo asymptomatic infection while 5-10% are symptomatic and only 1-2% are critically affected and requires ventilation support. Older people or people with co-morbidities are severely affected by COVID-19. These categories of patients also display cytokine storm due to dysfunctional immune response which brutally destroys the affected organs and may lead to death in some. Real time PCR is still considered as standard method of diagnosis along with other serology, radiological and biochemical investigations. Till date, no specific validated medication is available for the treatment of COVID-19 patients. Thus, this review provides detailed knowledge about the different landscapes of disease incidence, etiopathogenesis, involvement of various organs, diagnostic criteria's and treatment guidelines followed for management of COVID-19 infection since its inception. In conclusion, extensive research to recognize novel pathways and their cross talk to combat this virus in precarious settings is our future positive hope.
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Affiliation(s)
- Himani Rathi
- Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
| | - Vishakha Burman
- Department of Biotechnology, SVBP University of Agriculture and Technology, Meerut, Uttar Pradesh India
| | - Sudip Kumar Datta
- Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Satya Vati Rana
- Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
| | - Anissa Atif Mirza
- Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
| | - Sarama Saha
- Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
| | - Raman Kumar
- Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
| | - Manisha Naithani
- Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
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14
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Updated insight into COVID-19 disease and health management to combat the pandemic. ENVIRONMENTAL AND HEALTH MANAGEMENT OF NOVEL CORONAVIRUS DISEASE (COVID-19 ) 2021. [PMCID: PMC8237642 DOI: 10.1016/b978-0-323-85780-2.00017-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19 disease in humans and is the responsible viral agent for the currently ongoing pandemic. Early cases of COVID-19 were reported from Wuhan, Hubei province of China, the likely birthplace of this outbreak. Currently, over 92 million people in the globe are actively battling this virus, and over 2 million individuals have already succumbed to the disease. The high human-to-human transmission capacity of the virus is among the primary causes for such a rapid global spread of COVID-19. In humans, it causes acute to severe respiratory distress in the form of pneumonia. The presentation of clinical features of the disease ranges from mild in healthy adults to severe among individuals with weakened or immunocompromised immune systems and the elderly. Thus, increasing patient cases of COVID-19 warrants a growing demand for medical attention that is eventually overburdening our health care systems. Rapid detection of COVID-19 in suspected individuals and isolation are among the crucial intervention norms in health management strategies to control the COVID-19 pandemic, in addition to strict observance of public hygienic practices such as reduced public gathering, use of facial masks, and practicing of social distancing. This chapter provides an overview of the epidemiology of COVID-19 and the current classical health management strategies and issues to tackle this pandemic. It particularly highlights the role of standard as well as novel biomolecular diagnostic techniques as a tool for successful implementation of such public safety measures issued by medical policy makers and the governing bodies.
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15
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A R, Wang H, Wang W, Tan W. Summary of the Detection Kits for SARS-CoV-2 Approved by the National Medical Products Administration of China and Their Application for Diagnosis of COVID-19. Virol Sin 2020; 35:699-712. [PMID: 33351166 PMCID: PMC7754703 DOI: 10.1007/s12250-020-00331-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 11/25/2020] [Indexed: 12/15/2022] Open
Abstract
The on-going global pandemic of coronavirus disease 2019 (COVID-19) caused by a novel coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been underway for about 11 months. Through November 20, 2020, 51 detection kits for SARS-CoV-2 nucleic acids (24 kits), antibodies (25 kits), or antigens (2 kits) have been approved by the National Medical Products Administration of China (NMPA). Convenient and reliable SARS-CoV-2 detection assays are urgently needed worldwide for strategic control of the pandemic. In this review, the detection kits approved in China are summarised and the three types of tests, namely nucleic acid, serological and antigen detection, which are available for the detection of COVID-19 are discussed in detail. The development of novel detection kits will lay the foundation for the control and prevention of the COVID-19 pandemic globally.
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Affiliation(s)
- Ruhan A
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Huijuan Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Wenling Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Wenjie Tan
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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16
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Abstract
The field of bio-nano interfaces paves the way for a better understanding, development, and implementation of the advanced biotechnological process. Interfacing biomolecules with the nanomaterials will result in the development of new tools and techniques that, in turn, will enable to explore the fundamental process at the nano level and fabricate cost-effective portable devices. Fascinating biomolecules like DNA, RNA and proteins in the regime of nanoscale are intelligent materials that are capable of storing the information and controlling the basic structure and function of the complex biological systems. Following this concept, the current pandemic situation would be a natural selection process, where the selective pressure is on the ssRNA of Covid-19 to choose the suitable progeny for survival. Consequently, the interaction of human DNA invoking response with Covid-19 happens at the nanoscale and it could be a better candidate to provoke combat against the virus. The extent of this interaction would give us the insights at the nanotechnological level to tackle the prevention, diagnosis and treatment for Covid-19. Herein, the possible features and obstacles in Covid-19 and a probable solution from the advent of nanotechnology are discussed to address the current necessity. Moreover, the perspective sustainable green graph mask that can be prepared using green plant extract/graphene (Bio-Nano composite mask) is suggested for the possible protection of virus-like Covid-19. The composite material will not only effectively trap the virus but also inactivate the virus due to the presence of antiviral compounds in the plant extracts.
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17
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Ai L, Jiang L, Xu Z, Yan H, Luo P, He Q. COVID-19 epidemic: a special focus on diagnosis, complications, and management. Expert Rev Clin Pharmacol 2020; 13:1085-1093. [PMID: 32896175 DOI: 10.1080/17512433.2020.1821651] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION The outbreak of COVID-19 caused by SARS-CoV-2 infection has become a serious hazard to global health. Apart from attacking respiratory system, it can induce multiorgan dysfunction, including cardiovascular system, liver, kidney, gastrointestinal, nervous system, and immune system. However, there are few reviews focusing on summary and comparison of diagnostic methods and complications induced by SARS-CoV-2 infection, which places a significant limit on the effective management. AREAS COVERED This review is a blend of evidence obtained by literature retrieval from PubMed, clinical experience, and the authors' opinions. We searched PubMed using the terms 'COVID-19 & diagnosis' and 'COVID-19 & complications' and selected the most relevant articles. Here we summarize the diagnostic methods that are available in clinic and discuss their different characters. Furthermore, the review offers an insight into the symptoms, incidence, and clinical strategies of complications associated with SARS-CoV-2 infection. EXPERT OPINION COVID-19 has been a global pandemic, which requires rapid response. The comparison between different characters of the diagnostic methods and the summary of the symptoms, incidence, and clinical strategies of complications given in this review are not only significant for the optimal use of diagnostic methods, but also beneficial for the prevention and management of complications.
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Affiliation(s)
- Leilei Ai
- Center for Drug Safety Evaluation and Research of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University , Hangzhou, China
| | - Liyu Jiang
- Center for Drug Safety Evaluation and Research of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University , Hangzhou, China
| | - Zhifei Xu
- Center for Drug Safety Evaluation and Research of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University , Hangzhou, China
| | - Hao Yan
- Center for Drug Safety Evaluation and Research of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University , Hangzhou, China
| | - Peihua Luo
- Center for Drug Safety Evaluation and Research of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University , Hangzhou, China
| | - Qiaojun He
- Center for Drug Safety Evaluation and Research of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University , Hangzhou, China
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