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Wesley UV, Dempsey RJ. Neuro-molecular perspectives on long COVID-19 impacted cerebrovascular diseases - a role for dipeptidyl peptidase IV. Exp Neurol 2024; 380:114890. [PMID: 39038507 DOI: 10.1016/j.expneurol.2024.114890] [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: 05/15/2024] [Revised: 07/01/2024] [Accepted: 07/14/2024] [Indexed: 07/24/2024]
Abstract
The coronavirus disease 2019 (COVID-19) has caused immense devastation globally with many outcomes that are now extending to its long-term sequel called long COVID. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infects not only lungs, but also the brain and heart in association with endothelial cell dysfunction, coagulation abnormalities, and thrombosis leading to cardio-cerebrovascular health issues. Fatigue, cognitive decline, and brain fog are common neurological symptoms in persisting long COVID. Neurodegenerative processes and SARS-CoV-2 infection manifest overlapping molecular mechanisms, such as cytokine dysregulation, inflammation, protein aggregation, mitochondrial dysfunction, and oxidative stress. Identifying the key molecules in these processes is of importance for prevention and treatment of this disease. In particular, Dipeptidyl peptidase IV (DPPIV), a multifunctional peptidase has recently drawn attention as a potential co-receptor for SARS-CoV-2 infection and cellular entry. DPPIV is a known co-receptor for some other COVID viruses including MERS-Co-V. DPPIV regulates the immune responses, obesity, glucose metabolism, diabetes, and hypertension that are associated with cerebrovascular manifestations including stroke. DPPIV likely worsens persisting COVID-19 by disrupting inflammatory signaling pathways and the neurovascular system. This review highlights the neurological, cellular and molecular processes concerning long COVID, and DPPIV as a potential key factor contributing to cerebrovascular dysfunctions following SARS-CoV-2 infection.
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Affiliation(s)
- Umadevi V Wesley
- Department of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53792, USA.
| | - Robert J Dempsey
- Department of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53792, USA
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Yaacov A, Lazarian G, Pandzic T, Weström S, Baliakas P, Imache S, Lefebvre V, Cymbalista F, Baran-Marszak F, Rosenberg S, Soussi T. Cancer associated variant enrichment CAVE, a gene agnostic approach to identify low burden variants in chronic lymphocytic leukemia. Sci Rep 2024; 14:21962. [PMID: 39304718 DOI: 10.1038/s41598-024-73027-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 09/12/2024] [Indexed: 09/22/2024] Open
Abstract
Intratumoral heterogeneity is an important clinical challenge because low burden clones expressing specific genetic alterations drive therapeutic resistance mechanisms. We have developed CAVE (cancer-associated variant enrichment), a gene-agnostic computational tool to identify specific enrichment of low-burden cancer driver variants in next-generation sequencing (NGS) data. For this study, CAVE was applied to TP53 in chronic lymphocytic leukemia (CLL) as a cancer model. Indeed, as TP53 mutations are part of treatment decision-making algorithms and low-burden variants are frequent, there is a need to distinguish true variants from background noise. Recommendations have been published for reliable calling of low-VAF variants of TP53 in CLL and the assessment of the background noise for each platform is essential for the quality of the testing. CAVE is able to detect specific enrichment of low-burden variants starting at variant allele frequencies (VAFs) as low as 0.3%. In silico TP53 dependent and independent analyses confirmed the true driver nature of all these variants. Orthogonal validation using either ddPCR or NGS analyses of follow-up samples confirmed variant identification. CAVE can be easily deployed in any cancer-related NGS workflow to detect the enrichment of low-burden variants of clinical interest.
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Affiliation(s)
- Adar Yaacov
- Gaffin Center for Neuro-Oncology, Sharett Institute for Oncology, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
- The Wohl Institute for Translational Medicine, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Gregory Lazarian
- Laboratoire d'hématologie, Hôpital Avicenne, Hôpitaux Universitaires Paris Seine- Saint-Denis, Bobigny, France
- INSERM, UMR 978, Université Sorbonne Paris Nord, Bobigny, France
| | - Tatjana Pandzic
- Department of Immunology, Genetics and Pathology , Uppsala University, Uppsala, Sweden
- Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Simone Weström
- Department of Immunology, Genetics and Pathology , Uppsala University, Uppsala, Sweden
- Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology , Uppsala University, Uppsala, Sweden
- Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Samia Imache
- Laboratoire d'hématologie, Hôpital Avicenne, Hôpitaux Universitaires Paris Seine- Saint-Denis, Bobigny, France
- INSERM, UMR 978, Université Sorbonne Paris Nord, Bobigny, France
| | - Valérie Lefebvre
- Laboratoire d'hématologie, Hôpital Avicenne, Hôpitaux Universitaires Paris Seine- Saint-Denis, Bobigny, France
- INSERM, UMR 978, Université Sorbonne Paris Nord, Bobigny, France
| | - Florence Cymbalista
- Laboratoire d'hématologie, Hôpital Avicenne, Hôpitaux Universitaires Paris Seine- Saint-Denis, Bobigny, France
- INSERM, UMR 978, Université Sorbonne Paris Nord, Bobigny, France
| | - Fanny Baran-Marszak
- Laboratoire d'hématologie, Hôpital Avicenne, Hôpitaux Universitaires Paris Seine- Saint-Denis, Bobigny, France
- INSERM, UMR 978, Université Sorbonne Paris Nord, Bobigny, France
| | - Shai Rosenberg
- Gaffin Center for Neuro-Oncology, Sharett Institute for Oncology, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
- The Wohl Institute for Translational Medicine, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Thierry Soussi
- Department of Immunology, Genetics and Pathology , Uppsala University, Uppsala, Sweden.
- Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
- Équipe Développement hématopoïétique et leucémique, Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, UMRS_938, CRSA, AP-HP, SIRIC CURAMUS, 27 rue de Chaligny, 10 éme étage, 75012, Paris, France.
- Sorbonne Université, Place Jussieu, Paris, France.
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3
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Woo S, Hossain MI, Jung S, Yeo D, Yoon D, Hwang S, Do HJ, Eyun SI, Choi C. Whole genome sequencing and genome characterization of Aichivirus isolated from Korean adults. J Med Virol 2024; 96:e29902. [PMID: 39228345 DOI: 10.1002/jmv.29902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 08/14/2024] [Accepted: 08/24/2024] [Indexed: 09/05/2024]
Abstract
The whole-genome sequence (WGS) analysis of Aichivirus (AiV) identified in Korea was performed in this study. Using Sanger and Nanopore sequencing, the 8228-nucleotide-long genomic sequence of AiV (OQ121963) was determined and confirmed to belong to genotype A. The full-length genome of OQ121963 consisted of a 7296 nt open reading frame (ORF) that encodes a single polyprotein, and 5' UTR (676 nt) and 3' UTR (256 nt) at 5' and 3' ends, respectively. The ORF consisted of leader protein (L), structural protein P1 (VP0, VP1, and VP3), and nonstructural protein P2 (2A, 2B, and 2C) and P3 (3A, 3B, 3C, and 3D). The secondary structure analysis of the 5' UTR identified only stem-loop C (SL-C) and not SL-A and SL-B. The variable region of the AiV genome was analyzed by MegAlign Pro and reconfirmed by SimPlot analysis using 16 AiV whole genomes known to date. Among the entire regions, structural protein region P1 showed the lowest amino acid identity (96.07%) with reference sequence AB040749 (originated in Japan; genotype A), while the highest amino acid identity (98.26%) was confirmed in the 3D region among nonstructural protein region P2 and P3. Moreover, phylogenetic analysis of the WGS of OQ121963 showed the highest homology (96.96%) with JX564249 (originated in Taiwan; genotype A) and lowest homology (90.14%) with DQ028632 (originated in Brazil; genotype B). Therefore, the complete genome characterization of OQ121963 and phylogenetic analysis of the AiV conducted in this study provide useful information allowing to improve diagnostic tools and epidemiological studies of AiVs.
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Affiliation(s)
- Seoyoung Woo
- Department of Food and Nutrition, College of Biotechnology and Natural Resources, Chung-Ang University, Anseong, Republic of Korea
| | - Md Iqbal Hossain
- Department of Food and Nutrition, College of Biotechnology and Natural Resources, Chung-Ang University, Anseong, Republic of Korea
| | - Soontag Jung
- Department of Food and Nutrition, College of Biotechnology and Natural Resources, Chung-Ang University, Anseong, Republic of Korea
| | - Daseul Yeo
- Department of Food and Nutrition, College of Biotechnology and Natural Resources, Chung-Ang University, Anseong, Republic of Korea
| | - Danbi Yoon
- Department of Food and Nutrition, College of Biotechnology and Natural Resources, Chung-Ang University, Anseong, Republic of Korea
| | - Seongwon Hwang
- Department of Food and Nutrition, College of Biotechnology and Natural Resources, Chung-Ang University, Anseong, Republic of Korea
| | - Hee-Jung Do
- Department of Life Science, College of Natural Sciences, Chung-Ang University, Seoul, Republic of Korea
| | - Seong-Il Eyun
- Department of Life Science, College of Natural Sciences, Chung-Ang University, Seoul, Republic of Korea
| | - Changsun Choi
- Department of Food and Nutrition, College of Biotechnology and Natural Resources, Chung-Ang University, Anseong, Republic of Korea
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Zaatry R, Herren R, Gefen T, Geva-Zatorsky N. Microbiome and infectious disease: diagnostics to therapeutics. Microbes Infect 2024; 26:105345. [PMID: 38670215 DOI: 10.1016/j.micinf.2024.105345] [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: 07/13/2023] [Revised: 04/22/2024] [Accepted: 04/22/2024] [Indexed: 04/28/2024]
Abstract
Over 300 years of research on the microbial world has revealed their importance in human health and disease. This review explores the impact and potential of microbial-based detection methods and therapeutic interventions, integrating research of early microbiologists, current findings, and future perspectives.
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Affiliation(s)
- Rawan Zaatry
- Rappaport Faculty of Medicine, Rappaport Technion Integrated Cancer Center, Technion, Haifa, Israel
| | - Rachel Herren
- Rappaport Faculty of Medicine, Rappaport Technion Integrated Cancer Center, Technion, Haifa, Israel
| | - Tal Gefen
- Rappaport Faculty of Medicine, Rappaport Technion Integrated Cancer Center, Technion, Haifa, Israel
| | - Naama Geva-Zatorsky
- Rappaport Faculty of Medicine, Rappaport Technion Integrated Cancer Center, Technion, Haifa, Israel; CIFAR, Humans & the Microbiome, Toronto, Canada.
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Jung A, Droit L, Febles B, Fronick C, Cook L, Handley SA, Parikh BA, Wang D. Tracking the prevalence and emergence of SARS-CoV-2 variants of concern using a regional genomic surveillance program. Microbiol Spectr 2024; 12:e0422523. [PMID: 38912809 PMCID: PMC11302336 DOI: 10.1128/spectrum.04225-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 05/14/2024] [Indexed: 06/25/2024] Open
Abstract
SARS-CoV-2 molecular testing coupled with whole-genome sequencing is instrumental for real-time genomic surveillance. Genomic surveillance is critical for monitoring the spread of variants of concern (VOCs) as well as discovery of novel variants. Since the beginning of the pandemic, millions of SARS-CoV-2 genomes have been deposited into public sequence databases. This is the result of efforts of both national and regional diagnostic laboratories. In this study, we describe the results of SARS-CoV-2 genomic surveillance from February 2021 to June 2022 at a metropolitan hospital in the United States. We demonstrate that consistent daily sampling is sufficient to track the regional prevalence and emergence of VOCs and recapitulate national trends. Similar sampling efforts should be considered a viable option for local SARS-CoV-2 genomic surveillance at other regional laboratories. IMPORTANCE In our manuscript, we describe the results of SARS-CoV-2 genomic surveillance from February 2021 to June 2022 at a metropolitan hospital in the United States. We demonstrate that consistent daily sampling is sufficient to track the regional prevalence and emergence of variants of concern (VOCs). Similar sampling efforts should be considered a viable option for local SARS-CoV-2 genomic surveillance at other regional laboratories. While the SARS-CoV-2 pandemic has evolved into a more endemic form, we still believe that additional real-world information about sampling, procedures, and data interpretation is valuable for ongoing as well as future genomic surveillance efforts. Our study should be of substantial interest to clinical virologists.
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Affiliation(s)
- Ana Jung
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Lindsay Droit
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Binita Febles
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Catarina Fronick
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Lisa Cook
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Scott A. Handley
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bijal A. Parikh
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - David Wang
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
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6
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Nanamiya H, Tanaka D, Hiyama G, Isogai T, Watanabe S. Detection of four isomers of the human cytomegalovirus genome using nanopore long-read sequencing. Virus Genes 2024; 60:377-384. [PMID: 38861195 DOI: 10.1007/s11262-024-02083-6] [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: 04/09/2024] [Accepted: 06/01/2024] [Indexed: 06/12/2024]
Abstract
Human cytomegalovirus has a linear DNA genome with a total length of approximately 235 kb. This large genome is divided into two domains, "Long" and "Short". There are four isomers of the cytomegalovirus genome with different orientations of each domain. To confirm the presence of four types of isomers, it is necessary to identify the sequence of the junction between the domains. However, due to the presence of repeat sequences, it is difficult to determine the junction sequences by next-generation sequencing analysis. To solve this problem, long-read sequencing was performed using the Oxford Nanopore sequencer and the junctions were successfully identified in four isomers in strain Merin and ATCC-2011-3. Nanopore sequencing also revealed the presence of multiple copies of the "a" sequence (a-seq) in the junctions, indicating the diversity of the junction sequences. These results strongly suggest that long-read sequencing using the nanopore sequencer would be beneficial for identifying the complex structure of the cytomegalovirus genome.
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Affiliation(s)
- Hideaki Nanamiya
- Fukushima Translational Research Foundation, Capital Front Bldg., 7-4, 1-35, Sakae-Machi, Fukushima, 960-8031, Japan.
- Translational Research Center, Fukushima Medical University, 1, Hikarigaoka, Fukushima, 960-1295, Japan.
| | - Daisuke Tanaka
- Translational Research Center, Fukushima Medical University, 1, Hikarigaoka, Fukushima, 960-1295, Japan
| | - Gen Hiyama
- Translational Research Center, Fukushima Medical University, 1, Hikarigaoka, Fukushima, 960-1295, Japan
| | - Takao Isogai
- Translational Research Center, Fukushima Medical University, 1, Hikarigaoka, Fukushima, 960-1295, Japan
| | - Shinya Watanabe
- Translational Research Center, Fukushima Medical University, 1, Hikarigaoka, Fukushima, 960-1295, Japan
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He Y, Yang T, Zhong G, Yu X, Zhao Z, Shi Y, Huang B. Performance evaluation of a newly developed 2019-nCoV nucleic acid detection kit based on Ion Proton sequencing platform and its comparison with the MGI Tech (DNBSEQ-G99) platform. Diagn Microbiol Infect Dis 2024; 109:116323. [PMID: 38703530 DOI: 10.1016/j.diagmicrobio.2024.116323] [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: 02/18/2024] [Revised: 04/10/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024]
Abstract
PURPOSE To evaluate the performance of a newly developed 2019-nCoV nucleic acid detection kit based on Ion Proton sequencing platform and make comparation with MGI Tech (DNBSEQ-G99) platform. METHODS References and clinical samples were used to evaluate the precision, agreement rate, limit of detection (LOD), anti-interference ability and analytical specificity. Twenty-seven clinical specimens were used to make comparison between two platforms. RESULTS The kit showed good intra-assay, inter-assay, inter-day precision between different operators and laboratories, fine agreement rate with references, a relatively low LOD of 1 × 103 copies/ml, anti-interference capability of 5 % whole blood and 1mg/ml mucin and no cross reaction with twenty-nine common clinical pathogens. Consistency of variant classification was observed between two platforms. The WGS from Ion Proton tended to have higher coverage and less missing data. CONCLUSIONS The newly developed kit has shown satisfactory performances and excellent consistency with DNBSEQ-G99, making it a good alternative choice clinically.
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Affiliation(s)
- Yuting He
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Tingting Yang
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Guosheng Zhong
- Department of Clinical Laboratory, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Xuegao Yu
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Zhiwei Zhao
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Yaling Shi
- Department of Clinical Laboratory, Guangzhou Eighth People's Hospital, Guangzhou Medical University
| | - Bin Huang
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China.
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Raheem MA, Rahim MA, Gul I, Reyad-Ul-Ferdous M, Zhang CY, Yu D, Pandey V, Du K, Wang R, Han S, Han Y, Qin P. COVID-19: Post infection implications in different age groups, mechanism, diagnosis, effective prevention, treatment, and recommendations. Life Sci 2024:122861. [PMID: 38925222 DOI: 10.1016/j.lfs.2024.122861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 05/28/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024]
Abstract
SARS-CoV-2 is a highly contagious pathogen that predominantly caused the COVID-19 pandemic. The persistent effects of COVID-19 are defined as an inflammatory or host response to the virus that begins four weeks after initial infection and persists for an undetermined length of time. Chronic effects are more harmful than acute ones thus, this review explored the long-term effects of the virus on various human organs, including the pulmonary, cardiovascular, and neurological, reproductive, gastrointestinal, musculoskeletal, endocrine, and lymphoid systems and found that SARS-CoV-2 adversely affects these organs of older adults. Regarding diagnosis, the RT-PCR is a gold standard method of diagnosing COVID-19; however, it requires specialized equipment and personnel for performing assays and a long time for results production. Therefore, to overcome these limitations, artificial intelligence employed in imaging and microfluidics technologies is the most promising in diagnosing COVID-19. Pharmacological and non-pharmacological strategies are the most effective treatment for reducing the persistent impacts of COVID-19 by providing immunity to post-COVID-19 patients by reducing cytokine release syndrome, improving the T cell response, and increasing the circulation of activated natural killer and CD8 T cells in blood and tissues, which ultimately reduces fever, nausea, fatigue, and muscle weakness and pain. Vaccines such as inactivated viral, live attenuated viral, protein subunit, viral vectored, mRNA, DNA, or nanoparticle vaccines significantly reduce the adverse long-term virus effects in post-COVID-19 patients; however, no vaccine was reported to provide lifetime protection against COVID-19; consequently, protective measures such as physical separation, mask use, and hand cleansing are promising strategies. This review provides a comprehensive knowledge of the persistent effects of COVID-19 on people of varying ages, as well as diagnosis, treatment, vaccination, and future preventative measures against the spread of SARS-CoV-2.
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Affiliation(s)
- Muhammad Akmal Raheem
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Muhammad Ajwad Rahim
- College of Animal Science and Technology, Ahnui Agricultural University, Hefei, PR China
| | - Ijaz Gul
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Md Reyad-Ul-Ferdous
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Can Yang Zhang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Dongmei Yu
- School of Mechanical, Electrical & Information Engineering, Shandong University
| | - Vijay Pandey
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Ke Du
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, USA
| | - Runming Wang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Sanyang Han
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Yuxing Han
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Peiwu Qin
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China.
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Xiong D, Zhang X, Xu B, Shi M, Chen M, Dong Z, Zhong J, Gong R, Wu C, Li J, Wei H, Yu J. PHDtools: A platform for pathogen detection and multi-dimensional genetic signatures decoding to realize pathogen genomics data analyses online. Gene 2024; 909:148306. [PMID: 38408616 DOI: 10.1016/j.gene.2024.148306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/06/2024] [Accepted: 02/20/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVES Facing the emerging diseases, rapid identification of the pathogen and multi-dimensional characterization of the genomic features at both isolate-level and population-level through high-throughput sequencing data can provide invaluable information to guide the development of antiviral agents and strategies. However, a user-friendly program is in urgent need for clinical laboratories without bioinformatics background to decode the complex big genomics data. METHODS In this study, we developed an interactive online platform named PHDtools with a total of 15 functions to analyze metagenomics data to identify the potential pathogen and decode multi-dimensional genetic signatures including intra-/inter-host variations and lineage-level variations. The platform was applied to analyze the meta-genomic data of the samples collected from the 172 imported COVID-19 cases. RESULTS According to the analytical results of mNGS, 27 patients were found to have the co-infections of SARS-CoV-2 with either influenza virus (n = 9) or human picobirnavirus (n = 19). Enough coverages of all the assembled SARS-CoV-2 genomes provided the sub-lineages of Omicron variant, and the number of mutations in the non-structural genes and M gene was increased, as well as the intra-host variations occurred in E and M gene were under positive selection (Ka/Ks > 1). These findings of increased or changed mutations in the SARS-CoV-2 genome characterized the current adaptive evolution patterns of Omicron sub-lineages, and revealed the evolution speed of these sub-lineages might increase. CONCLUSIONS Consequently, the application of PHDtools has proved that this platform is accurate, user-friendly and convenient for clinical users who are deficient in bioinformatics, and the clinical monitor of SARS-CoV-2 genomes by PHDtools also highlighted the potential evolution features of current SARS-CoV-2 and indicated that the development of anti-SARS-CoV-2 agents and new-designed vaccines should incorporate the gene variations other than S gene.
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Affiliation(s)
- Dongyan Xiong
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China; Department of Chemical Pathology, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China
| | - Xiaoxu Zhang
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Bohan Xu
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mengjuan Shi
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Min Chen
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhuo Dong
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Jie Zhong
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Rui Gong
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Chang Wu
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Ji Li
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Hongping Wei
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Junping Yu
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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10
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Ge X, Zhou H, Shen F, Yang G, Zhang Y, Zhang X, Li H. SARS-CoV-2 subgenomic RNA: formation process and rapid molecular diagnostic methods. Clin Chem Lab Med 2024; 62:1019-1028. [PMID: 38000044 DOI: 10.1515/cclm-2023-0846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/13/2023] [Indexed: 11/26/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused coronavirus disease-2019 (COVID-19) is spreading worldwide and posing enormous losses to human health and socio-economic. Due to the limitations of medical and health conditions, it is still a huge challenge to develop appropriate discharge standards for patients with COVID-19 and to use medical resources in a timely and effective manner. Similar to other coronaviruses, SARS-CoV-2 has a very complex discontinuous transcription process to generate subgenomic RNA (sgRNA). Some studies support that sgRNA of SARS-CoV-2 can only exist when the virus is active and is an indicator of virus replication. The results of sgRNA detection in patients can be used to evaluate the condition of hospitalized patients, which is expected to save medical resources, especially personal protective equipment. There have been numerous investigations using different methods, especially molecular methods to detect sgRNA. Here, we introduce the process of SARS-CoV-2 sgRNA formation and the commonly used molecular diagnostic methods to bring a new idea for clinical detection in the future.
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Affiliation(s)
- Xiao Ge
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, P.R. China
| | - Huizi Zhou
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, P.R. China
| | - Fangyuan Shen
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, P.R. China
| | - Guimao Yang
- Department of Medical Laboratory, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, P.R. China
| | - Yubo Zhang
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, P.R. China
| | - Xiaoyu Zhang
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, P.R. China
| | - Heng Li
- Department of Medical Laboratory, Weifang Medical University, Weifang, Shandong, P.R. China
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11
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Kashif M, Acharya S, Khalil A. Molecular Interactions Leading to Advancements in the Techniques for COVID-19 Detection: A Review. J AOAC Int 2024; 107:519-528. [PMID: 38310327 DOI: 10.1093/jaoacint/qsae010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 01/20/2024] [Accepted: 01/20/2024] [Indexed: 02/05/2024]
Abstract
Since 2019 the world has been in a combat with the highly contagious disease COVID-19 which is caused by the rapid transmission of the SARS-CoV-2 virus (severe acute respiratory syndrome coronavirus 2). Detection of this disease in an early stage helps to control its spread and management. To combat this epidemic with one-time effective medication, improved quick analytical procedures must be developed and validated. The requirement for accurate and precise analytical methods for the diagnosis of the virus and antibodies in infected patients has been a matter of concern. The global impact of this virus has motivated scientists and researchers to investigate and develop various analytical diagnostic techniques. This review includes the study of standard methods which are reliable and accredited for the analytical recognition of the said virus. For early detection of SARS-CoV-2 RNA, RT-PCR (Real-time reverse transcriptase-polymerase chain reaction) is an accurate method among other methods and, thus, considered as the "gold standard" technique. Here, we outline the most extensively used analytical methods for diagnosing COVID-19, along with a brief description of each technique and its analytical aspects/perspective.
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Affiliation(s)
- Mohammad Kashif
- Aligarh Muslim University, Analytical Chemistry Section, Department of Chemistry, Aligarh, Uttar Pradesh 202002, India
| | - Swati Acharya
- Aligarh Muslim University, Analytical Chemistry Section, Department of Chemistry, Aligarh, Uttar Pradesh 202002, India
| | - Adila Khalil
- Aligarh Muslim University, Analytical Chemistry Section, Department of Chemistry, Aligarh, Uttar Pradesh 202002, India
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Daviña-Núñez C, Pérez S, Cabrera-Alvargonzález JJ, Rincón-Quintero A, Treinta-Álvarez A, Godoy-Diz M, Suárez-Luque S, Regueiro-García B. Performance of amplicon and capture based next-generation sequencing approaches for the epidemiological surveillance of Omicron SARS-CoV-2 and other variants of concern. PLoS One 2024; 19:e0289188. [PMID: 38683803 PMCID: PMC11057745 DOI: 10.1371/journal.pone.0289188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 03/14/2024] [Indexed: 05/02/2024] Open
Abstract
To control the SARS-CoV-2 pandemic, healthcare systems have focused on ramping up their capacity for epidemiological surveillance through viral whole genome sequencing. In this paper, we tested the performance of two protocols of SARS-CoV-2 nucleic acid enrichment, an amplicon enrichment using different versions of the ARTIC primer panel and a hybrid-capture method using KAPA RNA Hypercap. We focused on the challenge of the Omicron variant sequencing, the advantages of automated library preparation and the influence of the bioinformatic analysis in the final consensus sequence. All 94 samples were sequenced using Illumina iSeq 100 and analysed with two bioinformatic pipelines: a custom-made pipeline and an Illumina-owned pipeline. We were unsuccessful in sequencing six samples using the capture enrichment due to low reads. On the other hand, amplicon dropout and mispriming caused the loss of mutation G21987A and the erroneous addition of mutation T15521A respectively using amplicon enrichment. Overall, we found high sequence agreement regardless of method of enrichment, bioinformatic pipeline or the use of automation for library preparation in eight different SARS-CoV-2 variants. Automation and the use of a simple app for bioinformatic analysis can simplify the genotyping process, making it available for more diagnostic facilities and increasing global vigilance.
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Affiliation(s)
- Carlos Daviña-Núñez
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
- Universidade de Vigo, Vigo, Spain
| | - Sonia Pérez
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Jorge Julio Cabrera-Alvargonzález
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Anniris Rincón-Quintero
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Ana Treinta-Álvarez
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Montse Godoy-Diz
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Silvia Suárez-Luque
- Dirección Xeral de Saúde Pública, Xunta de Galicia, Consellería de Sanidade, Santiago de Compostela, A Coruña, Spain
| | - Benito Regueiro-García
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
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Tang J, Zhu J, Wang J, Qian H, Liu Z, Wang R, Cai Q, Fang Y, Huang W. Development and clinical application of loop-mediated isothermal amplification combined with lateral flow assay for rapid diagnosis of SARS-CoV-2. BMC Infect Dis 2024; 24:81. [PMID: 38225546 PMCID: PMC10788970 DOI: 10.1186/s12879-023-08924-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 12/17/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND The diagnostic assay leveraging multiple reverse transcription loop-mediated isothermal amplification (RT-LAMP) could meet the requirements for rapid nucleic acid detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS The devised assay merged the lateral flow assay with the RT-LAMP technology and designed specific primers for the simultaneous detection of the target and human-derived internal reference genes within a single reaction. An inquiry into the assay's limit of detection (LOD), sensitivity, and specificity was carried out. The effectiveness of this assay was validated using 498 clinical specimens. RESULTS This LOD of the assay was determined to be 500 copies/mL, and there was no observed cross-reaction with other respiratory pathogens. The detection results derived from clinical specimens showed substantial concordance with those from real-time reverse transcription-polymerase chain reaction (RT-qPCR) (Cohen's kappa, 0.876; 95% CI: 0.833-0.919; p<0.005). The diagnostic sensitivity and specificity were 87.1% and 100%, respectively. CONCLUSION The RT-LAMP assay, paired with a straightforward and disposable lateral immunochromatographic strip, achieves visual detection of dual targets for SARS-CoV-2 immediatly. Moreover, the entire procedure abstains from nucleic acids extraction. The samples are lysed at room temperature and subsequently proceed directly to the RT-LAMP reaction, which can be executed within 30 minutes at a constant temperature of 60-65°C. Then, the RT-LAMP amplification products are visualized using colloidal gold test strips. TRIAL REGISTRATION This study was registered at the Chinese Clinical Trial Registry (Registration number: ChiCTR2200060495, Date of registration 2022-06-03).
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Affiliation(s)
- Jin Tang
- Department of Clinical Laboratory, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Jie Zhu
- Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Shanghai Jiao Tong University affiliated the Eighth People's Hospital, Shanghai, 200235, China
| | - Jie Wang
- Shanghai Fengxian District Central Hospital, Shanghai, 201406, China
- Shanghai Fengxian District Guhua Hospital, Shanghai, 201499, China
| | - Haiyong Qian
- Department of Intensive Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Zengxin Liu
- Genoxor Medical Science and Technology Inc., No 555 Wangfang Road, Minhang District, Shanghai, 201112, China
| | - Ru Wang
- Genoxor Medical Science and Technology Inc., No 555 Wangfang Road, Minhang District, Shanghai, 201112, China
| | - Qingqing Cai
- Genoxor Medical Science and Technology Inc., No 555 Wangfang Road, Minhang District, Shanghai, 201112, China
| | - Yuan Fang
- Genoxor Medical Science and Technology Inc., No 555 Wangfang Road, Minhang District, Shanghai, 201112, China.
| | - Weifeng Huang
- Department of Intensive Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
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Ray SK, Mukherjee S. Innovation and Patenting Activities During COVID-19 and Advancement of Biochemical and Molecular Diagnosis in the Post- COVID-19 Era. Recent Pat Biotechnol 2024; 18:210-226. [PMID: 37779409 DOI: 10.2174/0118722083262217230921042127] [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: 05/29/2023] [Revised: 07/13/2023] [Accepted: 07/30/2023] [Indexed: 10/03/2023]
Abstract
The COVID-19 pandemic is to escalate globally and acquire new mutations quickly, so accurate diagnostic technologies play a vital role in controlling and understanding the epidemiology of the disease. A plethora of technologies acquires diagnosis of individuals and informs clinical management of COVID. Some important biochemical parameters for COVID diagnosis are the elevation of liver enzymes, creatinine, and nonspecific inflammatory markers such as C-reactive protein (CRP) and Interleukin 6 (IL-6). The main progression predictors are lymphopenia, elevated D-dimer, and hyperferritinemia, although it is also necessary to consider LDH, CPK, and troponin in the marker panel of diagnosis. Owing to the greater sensitivity and accuracy, molecular technologies such as conventional polymerase chain reaction (PCR), reverse transcription (RT)-PCR, nested PCR, loop-mediated isothermal amplification (LAMP), and xMAP technology have been extensively used for COVID diagnosis for some time now. To make so many diagnostics accessible to general people, many techniques may be exploited, including point of care (POC), also called bedside testing, which is developing as a portable promising tool in pathogen identification. Some other lateral flow assay (LFA)-centered techniques like SHERLOCK, CRISPR-Cas12a (AIOD-CRISPR), and FNCAS9 editor limited uniform detection assay (FELUDA), etc. have shown auspicious results in the rapid detection of pathogens. More recently, low-cost sequencing and advancements in big data management have resulted in a slow but steady rise of next-generation sequencing (NGS)-based approaches for diagnosis that have potential relevance for clinical purposes and may pave the way toward a better future. Due to the COVID-19 pandemic, various institutions provided free, specialized websites and tools to promote research and access to critically needed advanced solutions by alleviating research and analysis of data within a substantial body of scientific and patent literature regarding biochemical and molecular diagnosis published since January 2020. This circumstance is unquestionably unique and difficult for anyone using patent information to find pertinent disclosures at a specific date in a trustworthy manner.
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Affiliation(s)
- Suman Kumar Ray
- Independent Researcher, Bhopal, Madhya Pradesh-462020, India
| | - Sukhes Mukherjee
- Department of Biochemistry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh-462020, India
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15
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Gao P, Fan Y, Kong X, Zhang R, Chen L, Jiang Y, Liu Y, Zhao M, Deng G, Cao Y, Ma L. A novel assay based on DNA melting temperature for multiplexed identification of SARS-CoV-2 and influenza A/B viruses. Front Microbiol 2023; 14:1249085. [PMID: 38173675 PMCID: PMC10762780 DOI: 10.3389/fmicb.2023.1249085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 11/20/2023] [Indexed: 01/05/2024] Open
Abstract
Introduction The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and influenza viruses can cause respiratory illnesses with similar clinical symptoms, making their differential diagnoses challenging. Additionally, in critically ill SARS-CoV-2-infected patients, co-infections with other respiratory pathogens can lead to severe cytokine storm and serious complications. Therefore, a method for simultaneous detection of SARS-CoV-2 and influenza A and B viruses will be clinically beneficial. Methods We designed an assay to detect five gene targets simultaneously via asymmetric PCR-mediated melting curve analysis in a single tube. We used specific probes that hybridize to corresponding single-stranded amplicons at low temperature and dissociate at high temperature, creating different detection peaks representing the targets. The entire reaction was conducted in a closed tube, which minimizes the risk of contamination. The limit of detection, specificity, precision, and accuracy were determined. Results The assay exhibited a limit of detection of <20 copies/μL for SARS-CoV-2 and influenza A and <30 copies/μL for influenza B, with high reliability as demonstrated by a coefficient of variation for melting temperature of <1.16% across three virus concentrations. The performance of our developed assay and the pre-determined assay showed excellent agreement for clinical samples, with kappa coefficients ranging from 0.98 (for influenza A) to 1.00 (for SARS-CoV-2 and influenza B). No false-positive, and no cross-reactivity was observed with six common non-influenza respiratory viruses. Conclusion The newly developed assay offers a straightforward, cost-effective and nucleic acid contamination-free approach for simultaneous detection of the SARS-CoV-2, influenza A, and influenza B viruses. The method offers high analytical sensitivity, reliability, specificity, and accuracy. Its use will streamline testing for co-infections, increase testing throughput, and improve laboratory efficacy.
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Affiliation(s)
- Peng Gao
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Yanyan Fan
- Laboratory of Clinical Microbiology and Infectious Diseases, Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Xiaomu Kong
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Rui Zhang
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Lida Chen
- Department of Blood Transfusion, China-Japan Friendship Hospital, Beijing, China
| | - Yongwei Jiang
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Yi Liu
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Meimei Zhao
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Guoxiong Deng
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Yongtong Cao
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Liang Ma
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
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Miller MR, Braun E, Ip HS, Tyson GH. Domestic and wild animal samples and diagnostic testing for SARS-CoV-2. Vet Q 2023; 43:1-11. [PMID: 37779468 PMCID: PMC10614713 DOI: 10.1080/01652176.2023.2263864] [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: 04/18/2023] [Accepted: 09/21/2023] [Indexed: 10/03/2023] Open
Abstract
From the first cases in 2019, COVID-19 infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have resulted in over 6 million human deaths in a worldwide pandemic. SARS-CoV-2 is commonly spread from human to human through close contact and is capable of infecting both humans and animals. Worldwide, there have been over 675 animal outbreaks reported that resulted in over 2000 animal infections including domestic and wild animals. As the role of animal infections in the transmission, pathogenesis, and evolution of SARS-CoV-2 is still unfolding, accurate and reliable animal diagnostic tests are critical to aid in managing both human and animal health. This review highlights key animal samples and the three main diagnostic approaches used for animal testing: PCR, serology, and Next Generation Sequencing. Diagnostic results help inform (often difficult) clinical decision-making, but also possible ways to mitigate spread among pets, food supplies, or wildlife. A One Health approach has been key to monitoring the SARS-CoV-2 pandemic, as consistent human-animal interactions can lead to novel variants. Having multiple animal diagnostic tests for SARS-CoV-2 available is critical to ensure human, animal, and environmental health.
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Affiliation(s)
- Megan R. Miller
- Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA
| | - Elias Braun
- Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA
- School of Veterinary Medicine, University of PA, Philadelphia, PA, USA
| | - Hon S. Ip
- National Wildlife Health Center, U.S. Geological Survey, Madison, WI, USA
| | - Gregory H. Tyson
- Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA
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Rudramurthy GR, Naveenkumar CN, Bharathkumar K, Shandil RK, Narayanan S. Genomic Mutations in SARS-CoV-2 Genome following Infection in Syrian Golden Hamster and Associated Lung Pathologies. Pathogens 2023; 12:1328. [PMID: 38003792 PMCID: PMC10674674 DOI: 10.3390/pathogens12111328] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/06/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
The continuous evolution of the SARS-CoV-2 virus led to constant developments and efforts in understanding the significance and impacts of SARS-CoV-2 variants on human health. Our study aimed to determine the accumulation of genetic mutations and associated lung pathologies in male and female hamsters infected with the ancestral Wuhan strain of SARS-CoV-2. The present study showed no significant difference in the viral load between male and female hamsters and peak infection was found to be on day four post infection in both sexes of the animals. Live virus particles were detected up to 5 days post infection (dpi) through the TCID-50 assay, while qRT-PCR could detect viral RNA up to 14 dpi from all the infected animals. Further, the determination of the neutralizing antibody titer showed the onset of the humoral immune response as early as 4 dpi in both sexes against SARS-CoV-2, and a significant cross-protection against the delta variant of SARS-CoV-2 was observed. Histopathology showed edema, inflammation, inflammatory cell infiltration, necrosis, and degeneration of alveolar and bronchial epithelium cells from 3 dpi to 14 dpi in both sexes. Furthermore, next-generation sequencing (NGS) showed up to 10 single-nucleotide polymorphisms (SNPs) in the SARS-CoV-2 (ancestral Wuhan strain) genome isolated from both male and female hamsters. The mutation observed at the 23014 position (Glu484Asp) in the SARS-CoV-2 genome isolated from both sexes of the hamsters plays a significant role in the antiviral efficacy of small molecules, vaccines, and the Mabs-targeting S protein. The present study shows that either of the genders can be used in the pre-clinical efficacy of antiviral agents against SARS-CoV-2 in hamsters. However, considering the major mutation in the S protein, the understanding of the genetic mutation in SARS-CoV-2 after passing through hamsters is crucial in deciding the efficacy of the antiviral agents targeting the S protein. Importance: Our study findings indicate the accumulation of genomic mutations in SARS-CoV-2 after passing through the Syrian golden hamsters. Understanding the genomic mutations showed that either of the hamster genders can be used in the pre-clinical efficacy of antiviral agents and vaccines.
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Affiliation(s)
- Gudepalya Renukaiah Rudramurthy
- Foundation for Neglected Disease Research (FNDR), Plot No. 20A, KIADB Industrial Area, Bengaluru 561203, Karnataka, India; (C.N.N.); (K.B.); (R.K.S.); (S.N.)
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Shurko JF, Page RB, Mares CA, Nguyen V, Lopez K, Vanee N, Mishra PK. Use of RT-PCR in conjunction with a respiratory pathogen assay to concurrently determine the prevalence of bacteria and SARS-CoV-2 from the nasopharynx of outpatients. FRONTIERS IN EPIDEMIOLOGY 2023; 3:1274800. [PMID: 38455907 PMCID: PMC10910948 DOI: 10.3389/fepid.2023.1274800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/11/2023] [Indexed: 03/09/2024]
Abstract
Introduction COVID-19 has emerged as a highly contagious and debilitating disease caused by the SARS-CoV-2 virus and has claimed the lives of over 7.7 million people worldwide. Bacterial co-infections are one of many co-morbidities that have been suggested to impact the outcome of COVID-19 in patients. The goals of this study are to elucidate the presence of bacteria in the nasopharynx of SARS-CoV-2 positive and negative patients and to describe demographic categories that may be associated with the detection of these organisms during one of the initial waves of the COVID-19 pandemic. Methods To this end, we investigated SARS-CoV-2 and bacterial co-detection from outpatient RT-PCR testing in Texas. Results The results indicate that Staphylococcus aureus, Streptococcus pneumoniae, Klebsiella pneumoniae, Moraxella catarrhalis, and Haemophilus influenzae were the most frequently detected bacteria in both SARS-CoV-2 positive and SARS-CoV-2 negative patients and that these bacteria were present in these two patient populations at similar proportions. We also detected Staphylococcus aureus in a significantly larger proportion of males relative to females and people under 65 years of age relative to those 65 and over. Finally, we observed that SARS-CoV-2 was more commonly detected in Hispanics compared to non-Hispanics; however, low disclosure rates make volunteer bias a concern when interpreting the effects of demographic variables. Discussion This study describes the bacteria present in the nasopharynx of SARS-CoV-2 positive and negative patients, highlights associations between patient demographics and SARS-CoV-2 as well as bacterial co-detection. In addition, this study highlights RT-PCR based molecular testing as a tool to detect bacteria simultaneously when SARS-CoV-2 tests are performed.
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Affiliation(s)
- James F. Shurko
- Molecular Diagnostics Division, iGenomeDx, San Antonio, TX, United States
| | - Robert B. Page
- Department of Life Sciences, Texas A&M University-San Antonio, San Antonio, TX, United States
- Lousiana Scholars’ College, Northwestern State University, Natchitoches, LA, United States
| | - Chris A. Mares
- Department of Life Sciences, Texas A&M University-San Antonio, San Antonio, TX, United States
| | - Vivian Nguyen
- Molecular Diagnostics Division, iGenomeDx, San Antonio, TX, United States
| | - Kristina Lopez
- Molecular Diagnostics Division, iGenomeDx, San Antonio, TX, United States
| | - Niti Vanee
- Molecular Diagnostics Division, iGenomeDx, San Antonio, TX, United States
| | - Pramod K. Mishra
- Molecular Diagnostics Division, iGenomeDx, San Antonio, TX, United States
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19
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Lante E, Mahé G, Jany R. SARS-Cov-2 related shoulder pain and stiffness associated to humeral osteolysis after arthroscopic rotator cuff repair: A case report. Int J Surg Case Rep 2023; 111:108847. [PMID: 37742353 PMCID: PMC10520802 DOI: 10.1016/j.ijscr.2023.108847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/07/2023] [Accepted: 09/09/2023] [Indexed: 09/26/2023] Open
Abstract
INTRODUCTION AND IMPORTANCE Complications using bioresorbable anchors in arthroscopic rotator cuff surgery include osteolysis, aseptic synovitis, and foreign body reaction. However, the precise triggering factors are unknown. CASE PRESENTATION A healthy, 63-year-old male patient underwent rotator cuff repair using 7PLGA/b-TCP anchors. Nine months after surgery he returned to the senior author because of right shoulder pain and stiffness, pain in the right hand, foot and leg, and presence of erythematous patches at the aforementioned joints following SARS-Cov-2 infection, as well as increasing in blood inflammatory markers. Magnetic Resonance Arthrography (Arthro-MRI) showed no rotator cuff tendons re-tear but intra-articular synovitis, subacromial bursitis and humeral osteitis. A diagnostic arthroscopy, intra-articular fluid collection, biopsy and joint lavage was performed to rule out a septic arthritis. Co-amoxicillin 2.2 g intravenous treatment was administered following samples. Histological analysis of synovial tissue showed fibrin-exudative synovitis, while humeral bone biopsy showed an anchor resorption reaction. All microbiological analysis showed sterile samples. Three months post-lavage follow-up physical examination showed painless, recovered mobility, while Arthro-MRI showed a significant post-refixation remodeling of the rotator cuff tendons and reduction in humeral head osteitis and synovitis. CLINICAL DISCUSSION The abrupt onset of symptomatology and the close chronological link with SARS-Cov-2 infection suggests a causal relationship between clinical and radiological manifestations and the infection itself, with clinical and radiological manifestation being a viral host response reaction to SARS-Cov-2 infection. CONCLUSION Shoulder pain, stiffness and humeral osteitis could be manifestations of a viral host response to SARS-Cov-2 infection.
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Affiliation(s)
- Erica Lante
- Department of Orthopedic Surgery and Traumatology, Riviera Chablais Hospital, Rennaz, Switzerland.
| | - Grishma Mahé
- Department of Ophthalmology, Saint Loup Hospital, Etablissements hospitaliers du Nord Vaudois, Pompaples, Switzerland
| | - Richard Jany
- Department of Orthopedic Surgery, Saint Loup Hospital, Etablissements hospitaliers du Nord Vaudois, Pompaples, Switzerland
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Meredith LW, Aboualy M, Ochola R, Okwarah P, Ozel M, Abubakar A, Barakat A. Key aspects defining the development and implementation of a regional genomic surveillance strategy for the Eastern Mediterranean Region. Influenza Other Respir Viruses 2023; 17:e13205. [PMID: 37859974 PMCID: PMC10583647 DOI: 10.1111/irv.13205] [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: 05/17/2023] [Revised: 08/24/2023] [Accepted: 09/20/2023] [Indexed: 10/21/2023] Open
Abstract
The COVID-19 pandemic highlighted the critical role of pathogen sequencing in making informed public health decisions. Initially, the Eastern Mediterranean Region faced limitations in sequencing capacity. However, with robust WHO and stakeholder support, the situation significantly improved. By 2022, COVID-19 sequencing was underway in 22 out of 23 regional countries, with varying throughput and capacity. Notably, three genomic hubs were established in Oman, UAE, and Morocco, playing a key role in providing expanded genomics training and support across the region. While primarily for COVID-19 surveillance, this sequencing capacity offers an opportunity to integrate genomic surveillance into existing networks. This integration can enable early detection and response to high-threat pathogens with pandemic potential. To advance this, WHO/EMRO collaborated with stakeholders to formulate the Eastern Mediterranean Regional Genomic Surveillance Strategy for Emerging Pathogens of Pandemic Concern. Consultative meetings with regional and international genomic surveillance experts identified strategy focal points, key partners, priority pathogens, and implementation steps. As the strategy awaits member states' ratification in Q4 2023, this manuscript outlines pivotal facets defined by member states and the strategic document's key deliverables and opportunities. These efforts aim to yield a substantial positive impact within the region.
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Affiliation(s)
- Luke W. Meredith
- Infectious Hazard Management, Department of Health EmergencyWorld Health Organization, Eastern Mediterranean Regional OfficeCairoEgypt
| | - Mustafa Aboualy
- Infectious Hazard Management, Department of Health EmergencyWorld Health Organization, Eastern Mediterranean Regional OfficeCairoEgypt
| | - Rachel Ochola
- Infectious Hazard Management, Department of Health EmergencyWorld Health Organization, Eastern Mediterranean Regional OfficeCairoEgypt
| | - Patrick Okwarah
- Infectious Hazard Management, Department of Health EmergencyWorld Health Organization, Eastern Mediterranean Regional OfficeCairoEgypt
| | - Mehmet Ozel
- Infectious Hazard Management, Department of Health EmergencyWorld Health Organization, Eastern Mediterranean Regional OfficeCairoEgypt
| | - Abdinasir Abubakar
- Infectious Hazard Management, Department of Health EmergencyWorld Health Organization, Eastern Mediterranean Regional OfficeCairoEgypt
| | - Amal Barakat
- Infectious Hazard Management, Department of Health EmergencyWorld Health Organization, Eastern Mediterranean Regional OfficeCairoEgypt
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21
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Lamb CH, Kang B, Myhrvold C. Multiplexed CRISPR-based Methods for Pathogen Nucleic Acid Detection. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2023; 27:100471. [PMID: 37398931 PMCID: PMC10310064 DOI: 10.1016/j.cobme.2023.100471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Bacterial and viral pathogens are devastating to human health and well-being. In many regions, dozens of pathogen species and variants co-circulate. Thus, it is important to detect many different species and variants of pathogens in a given sample through multiplexed detection methods. CRISPR-based nucleic acid detection has shown to be a promising step towards an easy-to-use sensitive, specific, and high-throughput method to detect nucleic acids from DNA and RNA viruses and bacteria. Here, we review the current state of multiplexed nucleic acid detection methods with a focus on CRISPR-based methods. We also look toward the future of multiplexed point-of-care diagnostics.
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Affiliation(s)
- Caitlin H Lamb
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Brian Kang
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Cameron Myhrvold
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
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22
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Ko K, Takahashi K, Ito N, Sugiyama A, Nagashima S, Miwata K, Kitahara Y, Okimoto M, Ouoba S, Akuffo GA, E B, Akita T, Takafuta T, Tanaka J. Despite low viral titer in saliva samples, Sanger-based SARS-CoV-2 spike gene sequencing is highly applicable for the variant identification. BMC Med Genomics 2023; 16:199. [PMID: 37620887 PMCID: PMC10463848 DOI: 10.1186/s12920-023-01633-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/16/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND This study aimed to compare the performance of Sanger-based SARS-CoV-2 spike gene sequencing and Next Generation Sequencing (NGS)-based full-genome sequencing for variant identification in saliva samples with low viral titer. METHODS Using 241 stocked saliva samples collected from confirmed COVID-19 patients between November 2020 and March 2022 in Hiroshima, SARS-CoV-2 spike gene sequencing (nt22735-nt23532) was performed by nested RT-PCR and Sanger platform using in-house primers. The same samples underwent full-genome sequencing by NGS using Illumina NextSeq2000. RESULTS Among 241 samples, 147 were amplified by both the Sanger and the Illumina NextSeq2000 NGS, 86 by Sanger only, and 8 were not amplified at all. The overall amplification rates of Illumina NextSeq2000 NGS and Sanger were 61% and 96.7%, respectively. At low viral titer (< 103 copies/mL), Illumina NextSeq2000 NGS provided 19.2% amplification, while Sanger was 89.7% (p < 0.0001). Both platforms identified 38 wild type, 54 Alpha variants, 84 Delta variants, and 57 Omicron variants. CONCLUSIONS Our study provided evidence to expand the capacity of Sanger-based SARS-CoV-2 spike gene sequencing for variants identification over full-genome by Illumina NextSeq2000 NGS for mass screening. Therefore, the feasible and simple Sanger-based SARS-CoV-2 spike gene sequencing is practical for the initial variants screening, which might reduce the gap between the rapid evolution of SARS-CoV-2 and its molecular surveillance.
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Affiliation(s)
- Ko Ko
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Kazuaki Takahashi
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Noriaki Ito
- Hiroshima City Funairi Citizens Hospital, Hiroshima, Japan
| | - Aya Sugiyama
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Shintaro Nagashima
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Kei Miwata
- Hiroshima City Funairi Citizens Hospital, Hiroshima, Japan
| | | | - Mafumi Okimoto
- Hiroshima City Funairi Citizens Hospital, Hiroshima, Japan
| | - Serge Ouoba
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
- Unité de Recherche Clinique de Nanoro (URCN), Institut de Recherche en Science de La Santé (IRSS), Nanoro, Burkina Faso
| | - Golda Ataa Akuffo
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Bunthen E
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
- Payment Certification Agency (PCA), Ministry of Health, Phnom Penh, Cambodia
| | - Tomoyuki Akita
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | | | - Junko Tanaka
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
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23
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Wang X, Wang K, Xie F, Han Z, Liu Y, Pan L, Zhu G, Cao Z, Yan P, Xiao L, Duan Z, Hu Y, Xiao K, Chen X, Fu H, Shi Y, Song Y, Han X, Xie W, Xie L. Protocol of a multicenter, single-blind, randomized, parallel controlled trial evaluating the effect of microbiological rapid on-site evaluation (M-ROSE) guiding anti-infection treatment in patients with severe hospital-acquired pneumonia. Trials 2023; 24:552. [PMID: 37612723 PMCID: PMC10464107 DOI: 10.1186/s13063-023-07570-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 08/05/2023] [Indexed: 08/25/2023] Open
Abstract
INTRODUCTION The mortality rate of hospitalized patients with severe hospital-acquired pneumonia (SHAP) remains high. Empirical broad-spectrum antibiotic coverage and the misuse of high-grade antibiotics could lead to the emergence of multi-drug and even pandrug-resistant bacteria. In addition to metagenomic next-generation sequencing (mNGS), microbiological rapid on-site evaluation (M-ROSE) might be a useful technique to identify the pathogens in the early stage; however, the effect of M-ROSE guiding anti-infection treatment on prognostic outcomes of SHAP patients is still unclear. METHODS/DESIGN This is a multicenter, single-blind, prospective, randomized controlled trial to evaluate the effect of M-ROSE guiding anti-infection treatment in SHAP patients, which will provide new strategies for the prevention and control of clinical multi-drug resistance bacteria. A total of 166 patients with SHAP, aged 18 years and over, will be recruited from seven centers in Beijing and randomly assigned to the intervention group (M-ROSE combined with mNGS) or the control group (mNGS only) in a 1:1 ratio using the central randomization system. Patients in the intervention group will accept M-ROSE and mNGS analysis, and the control group will accept mNGS analysis. Individualized anti-infective treatment and routine treatment will be selected according to the analysis results. The primary outcome is the ICU outcome (mortality). The safety of the intervention measures will be evaluated during the entire trial period. This trial will be the first randomized controlled trial to evaluate the effect of M-ROSE guiding treatment on mortality in patients with SHAP and may change the prevalence of multi-drug resistant bacteria. ETHICS AND DISSEMINATION This trial adheres to the Declaration of Helsinki and guidelines of Good Clinical Practice. Signed informed consent will be obtained from all participants. The trial has been approved by the Chinese PLA General Hospital (Approval Number: 20220322001). TRIAL REGISTRATION ClinicalTrials.gov NCT05300776. Registered on 25 March 2022.
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Affiliation(s)
- Xiuli Wang
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Kaifei Wang
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Fei Xie
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Zhihai Han
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Yuhong Liu
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Lei Pan
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Guangfa Zhu
- Department of Respiratory and Critical Care Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Zhixin Cao
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Peng Yan
- Department of Respiratory and Critical Care Medicine, AMHT Group Aerospace 731 Hospital, Beijing, China
| | - Li Xiao
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Zhimei Duan
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Ye Hu
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Kun Xiao
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Xuxin Chen
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Han Fu
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Yinghan Shi
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Yuwei Song
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Xiaobo Han
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
| | - Lixin Xie
- College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
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24
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Shiwa Y, Baba T, Sierra MA, Kim J, Mason CE, Suzuki H. Evaluation of rRNA depletion methods for capturing the RNA virome from environmental surfaces. BMC Res Notes 2023; 16:142. [PMID: 37420286 DOI: 10.1186/s13104-023-06417-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 06/23/2023] [Indexed: 07/09/2023] Open
Abstract
OBJECTIVE Metatranscriptomic analysis of RNA viromes on built-environment surfaces is hampered by low RNA yields and high abundance of rRNA. Therefore, we evaluated the quality of libraries, efficiency of rRNA depletion, and viral detection sensitivity using a mock community and a melamine-coated table surface RNA with levels below those required (< 5 ng) with a library preparation kit (NEBNext Ultra II Directional RNA Library Prep Kit). RESULTS Good-quality RNA libraries were obtained from 0.1 ng of mock community and table surface RNA by changing the adapter concentration and number of PCR cycles. Differences in the target species of the rRNA depletion method affected the community composition and sensitivity of virus detection. The percentage of viral occupancy in two replicates was 0.259 and 0.290% in both human and bacterial rRNA-depleted samples, a 3.4 and 3.8-fold increase compared with that for only bacterial rRNA-depleted samples. Comparison of SARS-CoV-2 spiked-in human rRNA and bacterial rRNA-depleted samples suggested that more SARS-CoV-2 reads were detected in bacterial rRNA-depleted samples. We demonstrated that metatranscriptome analysis of RNA viromes is possible from RNA isolated from an indoor surface (representing a built-environment surface) using a standard library preparation kit.
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Affiliation(s)
- Yuh Shiwa
- Department of Molecular Microbiology, Tokyo University of Agriculture, Tokyo, Japan.
- NODAI Genome Research Center, Tokyo University of Agriculture, Tokyo, Japan.
| | - Tomoya Baba
- Advanced Genomics Center, National Institute of Genetics, Mishima, Japan
- Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tokyo, Japan
| | - Maria A Sierra
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
| | - JangKeun Kim
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Haruo Suzuki
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan.
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25
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Zhang Q, Qiao R, Niu J, Xiong X, Wang N, Zhang R, Luo S, Guo Y, Liu Z, Peng L, Zhang S, Tan G, Song K, Sun M, Xu L, Zhang R, Wu X. Evaluation of an identification method for the SARS-CoV-2 Delta variant based on the amplification-refractory mutation system. Front Cell Infect Microbiol 2023; 13:1180297. [PMID: 37475960 PMCID: PMC10354518 DOI: 10.3389/fcimb.2023.1180297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/19/2023] [Indexed: 07/22/2023] Open
Abstract
The Delta variant of SARS-CoV-2 dominated the COVID-19 pandemic due to its high viral replication capacity and immune evasion, causing massive outbreaks of cases, hospitalizations, and deaths. Currently, variant identification is performed mainly by sequencing. However, the high requirements for equipment and operators as well as its high cost have limited its application in underdeveloped regions. To achieve an economical and rapid method of variant identification suitable for undeveloped areas, we applied an amplification-refractory mutation system (ARMS) based on PCR for the detection of novel coronavirus variants. The results showed that this method could be finished in 90 min and detect as few as 500 copies/mL and not react with SARS-Coronavirus, influenza A H1N1(2009), and other cross-pathogens or be influenced by fresh human blood, α- interferon, and other interfering substances. In a set of double-blind trials, tests of 262 samples obtained from patients confirmed with Delta variant infection revealed that our method was able to accurately identify the Delta variant with high sensitivity and specificity. In conclusion, the ARMS-PCR method applied in Delta variant identification is rapid, sensitive, specific, economical, and suitable for undeveloped areas. In our future study, ARMS-PCR will be further applied in the identification of other variants, such as Omicron.
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Affiliation(s)
- Qin Zhang
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Runjie Qiao
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Jiaojiao Niu
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xia Xiong
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Nan Wang
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Ruixian Zhang
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Sha Luo
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yuwan Guo
- Research and Development Department, Jiangsu Bioperfectus Technologies Company Limited, Taizhou, Jiangsu, China
| | - Zhonghua Liu
- Research and Development Department, Jiangsu Bioperfectus Technologies Company Limited, Taizhou, Jiangsu, China
| | - Li Peng
- Research and Development Department, Jiangsu Bioperfectus Technologies Company Limited, Taizhou, Jiangsu, China
| | - Shaoduo Zhang
- Research and Development Department, Jiangsu Bioperfectus Technologies Company Limited, Taizhou, Jiangsu, China
| | - Guolei Tan
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Keyu Song
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Mei Sun
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Lulu Xu
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Rong Zhang
- Research and Development Department, Jiangsu Bioperfectus Technologies Company Limited, Taizhou, Jiangsu, China
| | - Xuping Wu
- The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
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Gomez-Gonzalez E, Muñoz O, Gomez-Martin JC, Aceituno-Castro J, Fernandez-Muñoz B, Navas-Garcia JM, Barriga-Rivera A, Fernandez-Lizaranzu I, Munoz-Gonzalez FJ, Parrilla-Giraldez R, Requena-Lancharro D, Gil-Gamboa P, Ramos JL, Rosell-Valle C, Gomez-Gonzalez C, Martin-Lopez M, Relimpio-Lopez MI, Perales-Esteve MA, Puppo-Moreno A, Garcia-Cozar FJ, Olvera-Collantes L, de Los Santos-Trigo S, Gomez E, Sanchez-Pernaute R, Padillo-Ruiz J, Marquez-Rivas J. Polarimetric imaging for the detection of synthetic models of SARS-CoV-2: A proof of concept. JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER 2023; 302:108567. [PMID: 36945203 PMCID: PMC9987604 DOI: 10.1016/j.jqsrt.2023.108567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 03/04/2023] [Accepted: 03/04/2023] [Indexed: 06/18/2023]
Abstract
Objective To conduct a proof-of-concept study of the detection of two synthetic models of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using polarimetric imaging. Approach Two SARS-CoV-2 models were prepared as engineered lentiviruses pseudotyped with the G protein of the vesicular stomatitis virus, and with the characteristic Spike protein of SARS-CoV-2. Samples were prepared in two biofluids (saline solution and artificial saliva), in four concentrations, and deposited as 5-µL droplets on a supporting plate. The angles of maximal degree of linear polarization (DLP) of light diffusely scattered from dry residues were determined using Mueller polarimetry from87 samples at 405 nm and 514 nm. A polarimetric camera was used for imaging several samples under 380-420 nm illumination at angles similar to those of maximal DLP. Per-pixel image analysis included quantification and combination of polarization feature descriptors in 475 samples. Main results The angles (from sample surface) of maximal DLP were 3° for 405 nm and 6° for 514 nm. Similar viral particles that differed only in the characteristic spike protein of the SARS-CoV-2, their corresponding negative controls, fluids, and the sample holder were discerned at 10-degree and 15-degree configurations. Significance Polarimetric imaging in the visible spectrum may help improve fast, non-contact detection and identification of viral particles, and/or other microbes such as tuberculosis, in multiple dry fluid samples simultaneously, particularly when combined with other imaging modalities. Further analysis including realistic concentrations of real SARS-CoV-2 viral particles in relevant human fluids is required. Polarimetric imaging under visible light may contribute to a fast, cost-effective screening of SARS-CoV-2 and other pathogens when combined with other imaging modalities.
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Affiliation(s)
- Emilio Gomez-Gonzalez
- Group of Interdisciplinary Physics, Department of Applied Physics III at the ETSI Engineering School, Universidad de Sevilla, Seville 41092, Spain
- Institute of Biomedicine of Seville, Spain
| | - Olga Muñoz
- Cosmic Dust Laboratory, Instituto de Astrofísica de Andalucía, CSIC, Granada 18008, Spain
| | | | - Jesus Aceituno-Castro
- Cosmic Dust Laboratory, Instituto de Astrofísica de Andalucía, CSIC, Granada 18008, Spain
- Centro Astronomico Hispano Alemán, Almeria 04550, Spain
| | - Beatriz Fernandez-Muñoz
- Unidad de Producción y Reprogramación Celular, Red Andaluza de Diseño y Traslación de Terapias Avanzadas, Fundacion Publica Andaluza Progreso y Salud, Sevilla 41092, Spain
| | | | - Alejandro Barriga-Rivera
- Group of Interdisciplinary Physics, Department of Applied Physics III at the ETSI Engineering School, Universidad de Sevilla, Seville 41092, Spain
- School of Biomedical Engineering, The University of Sydney, NSW 2006, Australia
| | - Isabel Fernandez-Lizaranzu
- Group of Interdisciplinary Physics, Department of Applied Physics III at the ETSI Engineering School, Universidad de Sevilla, Seville 41092, Spain
- Institute of Biomedicine of Seville, Spain
| | - Francisco Javier Munoz-Gonzalez
- Group of Interdisciplinary Physics, Department of Applied Physics III at the ETSI Engineering School, Universidad de Sevilla, Seville 41092, Spain
| | | | - Desiree Requena-Lancharro
- Group of Interdisciplinary Physics, Department of Applied Physics III at the ETSI Engineering School, Universidad de Sevilla, Seville 41092, Spain
| | - Pedro Gil-Gamboa
- Group of Interdisciplinary Physics, Department of Applied Physics III at the ETSI Engineering School, Universidad de Sevilla, Seville 41092, Spain
| | - José Luis Ramos
- Cosmic Dust Laboratory, Instituto de Astrofísica de Andalucía, CSIC, Granada 18008, Spain
| | - Cristina Rosell-Valle
- Unidad de Producción y Reprogramación Celular, Red Andaluza de Diseño y Traslación de Terapias Avanzadas, Fundacion Publica Andaluza Progreso y Salud, Sevilla 41092, Spain
| | - Carmen Gomez-Gonzalez
- Service of Intensive Care, University Hospital 'Virgen del Rocio', Sevilla 41013, Spain
| | - Maria Martin-Lopez
- Unidad de Producción y Reprogramación Celular, Red Andaluza de Diseño y Traslación de Terapias Avanzadas, Fundacion Publica Andaluza Progreso y Salud, Sevilla 41092, Spain
| | - Maria Isabel Relimpio-Lopez
- Department of General Surgery, College of Medicine, Universidad de Sevilla, Seville 41009, Spain
- Department of Ophthalmology, University Hospital 'Virgen Macarena', Sevilla 41009, Spain
- OftaRed, Institute of Health 'Carlos III', Madrid 28029, Spain
| | - Manuel A Perales-Esteve
- Group of Interdisciplinary Physics, Department of Applied Physics III at the ETSI Engineering School, Universidad de Sevilla, Seville 41092, Spain
- Department of Electronic Engineering at the ETSI Engineering School, Universidad de Sevilla, Seville 41092, Spain
| | - Antonio Puppo-Moreno
- Institute of Biomedicine of Seville, Spain
- Service of Intensive Care, University Hospital 'Virgen del Rocio', Sevilla 41013, Spain
| | - Francisco Jose Garcia-Cozar
- Department of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cadiz 11003, Spain
- Instituto de Investigación e Innovación Biomedica de Cádiz (INIBICA), Cadiz 11009, Spain
| | - Lucia Olvera-Collantes
- Department of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cadiz 11003, Spain
- Instituto de Investigación e Innovación Biomedica de Cádiz (INIBICA), Cadiz 11009, Spain
| | | | - Emilia Gomez
- Joint Research Centre, European Commission, Sevilla 41092, Spain
| | - Rosario Sanchez-Pernaute
- Unidad de Producción y Reprogramación Celular, Red Andaluza de Diseño y Traslación de Terapias Avanzadas, Fundacion Publica Andaluza Progreso y Salud, Sevilla 41092, Spain
| | | | - Javier Marquez-Rivas
- Group of Interdisciplinary Physics, Department of Applied Physics III at the ETSI Engineering School, Universidad de Sevilla, Seville 41092, Spain
- Institute of Biomedicine of Seville, Spain
- Service of Neurosurgery, University Hospital 'Virgen del Rocío', Sevilla 41013, Spain
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Batool M, Galloway-Peña J. Clinical metagenomics-challenges and future prospects. Front Microbiol 2023; 14:1186424. [PMID: 37448579 PMCID: PMC10337830 DOI: 10.3389/fmicb.2023.1186424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/12/2023] [Indexed: 07/15/2023] Open
Abstract
Infections lacking precise diagnosis are often caused by a rare or uncharacterized pathogen, a combination of pathogens, or a known pathogen carrying undocumented or newly acquired genes. Despite medical advances in infectious disease diagnostics, many patients still experience mortality or long-term consequences due to undiagnosed or misdiagnosed infections. Thus, there is a need for an exhaustive and universal diagnostic strategy to reduce the fraction of undocumented infections. Compared to conventional diagnostics, metagenomic next-generation sequencing (mNGS) is a promising, culture-independent sequencing technology that is sensitive to detecting rare, novel, and unexpected pathogens with no preconception. Despite the fact that several studies and case reports have identified the effectiveness of mNGS in improving clinical diagnosis, there are obvious shortcomings in terms of sensitivity, specificity, costs, standardization of bioinformatic pipelines, and interpretation of findings that limit the integration of mNGS into clinical practice. Therefore, physicians must understand the potential benefits and drawbacks of mNGS when applying it to clinical practice. In this review, we will examine the current accomplishments, efficacy, and restrictions of mNGS in relation to conventional diagnostic methods. Furthermore, we will suggest potential approaches to enhance mNGS to its maximum capacity as a clinical diagnostic tool for identifying severe infections.
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Affiliation(s)
| | - Jessica Galloway-Peña
- Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, United States
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28
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Jung A, Droit L, Febles B, Fronick C, Cook L, Handley SA, Parikh BA, Wang D. Tracking the prevalence and emergence of SARS CoV2 variants of concern using a regional genomic surveillance program. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.08.23289687. [PMID: 37214888 PMCID: PMC10197817 DOI: 10.1101/2023.05.08.23289687] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
SARS-CoV-2 molecular testing coupled with whole genome sequencing is instrumental for real-time genomic surveillance. Genomic surveillance is critical for monitoring the spread of variants of concern (VOC) as well as novel variant discovery. Since the beginning of the pandemic millions of SARS-CoV-2 genomes have been deposited into public sequence databases. This is the result of efforts of both national and regional diagnostic laboratories. Here we describe the results of SARS-CoV-2 genomic surveillance from February 2021 to June 2022 at a metropolitan hospital in the USA. We demonstrate that consistent daily sampling is sufficient to track the regional prevalence and emergence of VOC. Similar sampling efforts should be considered a viable option for local SARS-CoV-2 genomic surveillance at other regional laboratories.
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Affiliation(s)
- Ana Jung
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Lindsay Droit
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Binita Febles
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Catarina Fronick
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Lisa Cook
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Scott A. Handley
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bijal A Parikh
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - David Wang
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
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29
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Vilca-Alosilla JJ, Candia-Puma MA, Coronel-Monje K, Goyzueta-Mamani LD, Galdino AS, Machado-de-Ávila RA, Giunchetti RC, Ferraz Coelho EA, Chávez-Fumagalli MA. A Systematic Review and Meta-Analysis Comparing the Diagnostic Accuracy Tests of COVID-19. Diagnostics (Basel) 2023; 13:diagnostics13091549. [PMID: 37174941 PMCID: PMC10177430 DOI: 10.3390/diagnostics13091549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/06/2023] [Accepted: 04/11/2023] [Indexed: 05/15/2023] Open
Abstract
In this paper, we present a systematic review and meta-analysis that aims to evaluate the reliability of coronavirus disease diagnostic tests in 2019 (COVID-19). This article seeks to describe the scientific discoveries made because of diagnostic tests conducted in recent years during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Between 2020 and 2021, searches for published papers on the COVID-19 diagnostic were made in the PubMed database. Ninety-nine scientific articles that satisfied the requirements were analyzed and included in the meta-analysis, and the specificity and sensitivity of the diagnostic accuracy were assessed. When compared to serological tests such as the enzyme-linked immunosorbent assay (ELISA), chemiluminescence immunoassay (CLIA), lateral flow immunoassay (LFIA), and chemiluminescent microparticle immunoassay (CMIA), molecular tests such as reverse transcription polymerase chain reaction (RT-PCR), reverse transcription loop-mediated isothermal amplification (RT-LAMP), and clustered regularly interspaced short palindromic repeats (CRISPR) performed better in terms of sensitivity and specificity. Additionally, the area under the curve restricted to the false-positive rates (AUCFPR) of 0.984 obtained by the antiviral neutralization bioassay (ANB) diagnostic test revealed significant potential for the identification of COVID-19. It has been established that the various diagnostic tests have been effectively adapted for the detection of SARS-CoV-2; nevertheless, their performance still must be enhanced to contain potential COVID-19 outbreaks, which will also help contain potential infectious agent outbreaks in the future.
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Affiliation(s)
- Juan Jeferson Vilca-Alosilla
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
- Facultad de Ciencias Farmacéuticas, Bioquímicas y Biotecnológicas, Universidad Católica de Santa María, Arequipa 04000, Peru
| | - Mayron Antonio Candia-Puma
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
- Facultad de Ciencias Farmacéuticas, Bioquímicas y Biotecnológicas, Universidad Católica de Santa María, Arequipa 04000, Peru
| | - Katiusca Coronel-Monje
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
- Facultad de Ciencias Farmacéuticas, Bioquímicas y Biotecnológicas, Universidad Católica de Santa María, Arequipa 04000, Peru
| | - Luis Daniel Goyzueta-Mamani
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
- Sustainable Innovative Biomaterials Department, Le Qara Research Center, Arequipa 04000, Peru
| | - Alexsandro Sobreira Galdino
- Laboratório de Biotecnologia de Microrganismos, Universidade Federal São João Del-Rei, Divinópolis 35501-296, MG, Brazil
| | | | - Rodolfo Cordeiro Giunchetti
- Laboratório de Biologia das Interações Celulares, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
- Instituto Nacional de Ciência e Tecnologia em Doenças Tropicais, INCT-DT, Salvador 40015-970, BA, Brazil
| | - Eduardo Antonio Ferraz Coelho
- Programa de Pós-Graduação em Ciências da Saúde: Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
- Departamento de Patologia Clínica, COLTEC, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Miguel Angel Chávez-Fumagalli
- Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04000, Peru
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30
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Cristina Diaconu C, Madalina Pitica I, Chivu-Economescu M, Georgiana Necula L, Botezatu A, Virginia Iancu I, Iulia Neagu A, L. Radu E, Matei L, Maria Ruta S, Bleotu C. SARS-CoV-2 Variant Surveillance in Genomic Medicine Era. Infect Dis (Lond) 2023. [DOI: 10.5772/intechopen.107137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/26/2024] Open
Abstract
In the genomic medicine era, the emergence of SARS-CoV-2 was immediately followed by viral genome sequencing and world-wide sequences sharing. Almost in real-time, based on these sequences, resources were developed and applied around the world, such as molecular diagnostic tests, informed public health decisions, and vaccines. Molecular SARS-CoV-2 variant surveillance was a normal approach in this context yet, considering that the viral genome modification occurs commonly in viral replication process, the challenge is to identify the modifications that significantly affect virulence, transmissibility, reduced effectiveness of vaccines and therapeutics or failure of diagnostic tests. However, assessing the importance of the emergence of new mutations and linking them to epidemiological trend, is still a laborious process and faster phenotypic evaluation approaches, in conjunction with genomic data, are required in order to release timely and efficient control measures.
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31
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Pei XM, Yeung MHY, Wong ANN, Tsang HF, Yu ACS, Yim AKY, Wong SCC. Targeted Sequencing Approach and Its Clinical Applications for the Molecular Diagnosis of Human Diseases. Cells 2023; 12:493. [PMID: 36766834 PMCID: PMC9913990 DOI: 10.3390/cells12030493] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/19/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
The outbreak of COVID-19 has positively impacted the NGS market recently. Targeted sequencing (TS) has become an important routine technique in both clinical and research settings, with advantages including high confidence and accuracy, a reasonable turnaround time, relatively low cost, and fewer data burdens with the level of bioinformatics or computational demand. Since there are no clear consensus guidelines on the wide range of next-generation sequencing (NGS) platforms and techniques, there is a vital need for researchers and clinicians to develop efficient approaches, especially for the molecular diagnosis of diseases in the emergency of the disease and the global pandemic outbreak of COVID-19. In this review, we aim to summarize different methods of TS, demonstrate parameters for TS assay designs, illustrate different TS panels, discuss their limitations, and present the challenges of TS concerning their clinical application for the molecular diagnosis of human diseases.
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Affiliation(s)
- Xiao Meng Pei
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong 999077, China
| | - Martin Ho Yin Yeung
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China
| | - Alex Ngai Nick Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong, China
| | - Allen Chi Shing Yu
- Codex Genetics Limited, Unit 212, 2/F., Building 16W, No. 16 Science Park West Avenue, The Hong Kong Science Park, Hong Kong 852, China
| | - Aldrin Kay Yuen Yim
- Codex Genetics Limited, Unit 212, 2/F., Building 16W, No. 16 Science Park West Avenue, The Hong Kong Science Park, Hong Kong 852, China
| | - Sze Chuen Cesar Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong 999077, China
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Chrysostomou AC, Aristokleous A, Rodosthenous JH, Christodoulou C, Stathi G, Kostrikis LG. Detection of Circulating SARS-CoV-2 Variants of Concern (VOCs) Using a Multiallelic Spectral Genotyping Assay. Life (Basel) 2023; 13:life13020304. [PMID: 36836661 PMCID: PMC9960118 DOI: 10.3390/life13020304] [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: 12/19/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
Throughout the coronavirus disease 2019 (COVID-19) pandemic, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has continuously evolved, resulting in new variants, some of which possess increased infectivity, immune evasion, and virulence. Such variants have been denoted by the World Health Organization as variants of concern (VOC) because they have resulted in an increased number of cases, posing a strong risk to public health. Thus far, five VOCs have been designated, Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), and Omicron (B.1.1.529), including their sublineages. Next-generation sequencing (NGS) can produce a significant amount of information facilitating the study of variants; however, NGS is time-consuming and costly and not efficient during outbreaks, when rapid identification of VOCs is urgently needed. In such periods, there is a need for fast and accurate methods, such as real-time reverse transcription PCR in combination with probes, which can be used for monitoring and screening of the population for these variants. Thus, we developed a molecular beacon-based real-time RT-PCR assay according to the principles of spectral genotyping. This assay employs five molecular beacons that target ORF1a:ΔS3675/G3676/F3677, S:ΔH69/V70, S:ΔE156/F157, S:ΔΝ211, S:ins214EPE, and S:ΔL242/A243/L244, deletions and an insertion found in SARS-CoV-2 VOCs. This assay targets deletions/insertions because they inherently provide higher discrimination capacity. Here, the design process of the molecular beacon-based real-time RT-PCR assay for detection and discrimination of SARS-CoV-2 is presented, and experimental testing using SARS-CoV-2 VOC samples from reference strains (cultured virus) and clinical patient samples (nasopharyngeal samples), which have been previously classified using NGS, were evaluated. Based on the results, it was shown that all molecular beacons can be used under the same real-time RT-PCR conditions, consequently improving the time and cost efficiency of the assay. Furthermore, this assay was able to confirm the genotype of each of the tested samples from various VOCs, thereby constituting an accurate and reliable method for VOC detection and discrimination. Overall, this assay is a valuable tool that can be used for screening and monitoring the population for VOCs or other emerging variants, contributing to limiting their spread and protecting public health.
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Affiliation(s)
| | - Antonia Aristokleous
- Department of Biological Sciences, University of Cyprus, Aglantzia, 2109 Nicosia, Cyprus
| | | | | | - Georgia Stathi
- Department of Biological Sciences, University of Cyprus, Aglantzia, 2109 Nicosia, Cyprus
| | - Leondios G. Kostrikis
- Department of Biological Sciences, University of Cyprus, Aglantzia, 2109 Nicosia, Cyprus
- Cyprus Academy of Sciences, Letters, and Arts, 60-68 Phaneromenis Street, 1011 Nicosia, Cyprus
- Correspondence: ; Tel.: +35-72-289-2885
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Acharjee A, Ray A, Salkar A, Bihani S, Tuckley C, Shastri J, Agrawal S, Duttagupta S, Srivastava S. Humoral Immune Response Profile of COVID-19 Reveals Severity and Variant-Specific Epitopes: Lessons from SARS-CoV-2 Peptide Microarray. Viruses 2023; 15:248. [PMID: 36680289 PMCID: PMC9866125 DOI: 10.3390/v15010248] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 01/12/2023] [Accepted: 01/14/2023] [Indexed: 01/18/2023] Open
Abstract
The amaranthine scale of the COVID-19 pandemic and unpredictable disease severity is of grave concern. Serological diagnostic aids are an excellent choice for clinicians for rapid and easy prognosis of the disease. To this end, we studied the humoral immune response to SARS-CoV-2 infection to map immunogenic regions in the SARS-CoV-2 proteome at amino acid resolution using a high-density SARS-CoV-2 proteome peptide microarray. The microarray has 4932 overlapping peptides printed in duplicates spanning the entire SARS-CoV-2 proteome. We found 204 and 676 immunogenic peptides against IgA and IgG, corresponding to 137 and 412 IgA and IgG epitopes, respectively. Of these, 6 and 307 epitopes could discriminate between disease severity. The emergence of variants has added to the complexity of the disease. Using the mutation panel available, we could detect 5 and 10 immunogenic peptides against IgA and IgG with mutations belonging to SAR-CoV-2 variants. The study revealed severity-based epitopes that could be presented as potential prognostic serological markers. Further, the mutant epitope immunogenicity could indicate the putative use of these markers for diagnosing variants responsible for the infection.
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Affiliation(s)
- Arup Acharjee
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Arka Ray
- Centre for Research in Nanotechnology and Science, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Akanksha Salkar
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Surbhi Bihani
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Chaitanya Tuckley
- Centre for Research in Nanotechnology and Science, Indian Institute of Technology Bombay, Mumbai 400076, India
| | | | - Sachee Agrawal
- Kasturba Hospital for Infectious Diseases, Mumbai 400011, India
| | - Siddhartha Duttagupta
- Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Sanjeeva Srivastava
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India
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34
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Disease X Testing: The Results of an International External Quality Assessment Exercise. JOURNAL OF BIOSAFETY AND BIOSECURITY 2022. [DOI: 10.1016/j.jobb.2022.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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35
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Xie Y, Li H, Chen F, Udayakumar S, Arora K, Chen H, Lan Y, Hu Q, Zhou X, Guo X, Xiu L, Yin K. Clustered Regularly Interspaced short palindromic repeats-Based Microfluidic System in Infectious Diseases Diagnosis: Current Status, Challenges, and Perspectives. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2204172. [PMID: 36257813 PMCID: PMC9731715 DOI: 10.1002/advs.202204172] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/16/2022] [Indexed: 06/02/2023]
Abstract
Mitigating the spread of global infectious diseases requires rapid and accurate diagnostic tools. Conventional diagnostic techniques for infectious diseases typically require sophisticated equipment and are time consuming. Emerging clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) detection systems have shown remarkable potential as next-generation diagnostic tools to achieve rapid, sensitive, specific, and field-deployable diagnoses of infectious diseases, based on state-of-the-art microfluidic platforms. Therefore, a review of recent advances in CRISPR-based microfluidic systems for infectious diseases diagnosis is urgently required. This review highlights the mechanisms of CRISPR/Cas biosensing and cutting-edge microfluidic devices including paper, digital, and integrated wearable platforms. Strategies to simplify sample pretreatment, improve diagnostic performance, and achieve integrated detection are discussed. Current challenges and future perspectives contributing to the development of more effective CRISPR-based microfluidic diagnostic systems are also proposed.
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Affiliation(s)
- Yi Xie
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Huimin Li
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Fumin Chen
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Srisruthi Udayakumar
- Division of Engineering in MedicineDepartment of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA02139USA
| | - Khyati Arora
- Division of Engineering in MedicineDepartment of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA02139USA
| | - Hui Chen
- Division of Engineering in MedicineDepartment of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA02139USA
| | - Yang Lan
- Centre for Nature‐Inspired EngineeringDepartment of Chemical EngineeringUniversity College LondonLondonWC1E 7JEUK
| | - Qinqin Hu
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Xiaonong Zhou
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Xiaokui Guo
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Leshan Xiu
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Kun Yin
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
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Rusňáková D, Sedláčková T, Radvák P, Böhmer M, Mišenko P, Budiš J, Bokorová S, Lipková N, Forgáčová-Jakúbková M, Sládeček T, Sitarčík J, Krampl W, Gažiová M, Kaliňáková A, Staroňová E, Tichá E, Vrábľová T, Ševčíková L, Kotvasová B, Maďarová L, Feiková S, Beňová K, Reizigová L, Onderková Z, Ondrušková D, Loderer D, Škereňová M, Danková Z, Janíková K, Halašová E, Nováková E, Turňa J, Szemes T. Systematic Genomic Surveillance of SARS-CoV-2 Virus on Illumina Sequencing Platforms in the Slovak Republic-One Year Experience. Viruses 2022; 14:2432. [PMID: 36366530 PMCID: PMC9697771 DOI: 10.3390/v14112432] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 10/27/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
To explore a genomic pool of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the pandemic, the Ministry of Health of the Slovak Republic formed a genomics surveillance workgroup, and the Public Health Authority of the Slovak Republic launched a systematic national epidemiological surveillance using whole-genome sequencing (WGS). Six out of seven genomic centers implementing Illumina sequencing technology were involved in the national SARS-CoV-2 virus sequencing program. Here we analyze a total of 33,024 SARS-CoV-2 isolates collected from the Slovak population from 1 March 2021, to 31 March 2022, that were sequenced and analyzed in a consistent manner. Overall, 28,005 out of 30,793 successfully sequenced samples met the criteria to be deposited in the global GISAID database. During this period, we identified four variants of concern (VOC)-Alpha (B.1.1.7), Beta (B.1.351), Delta (B.1.617.2) and Omicron (B.1.1.529). In detail, we observed 165 lineages in our dataset, with dominating Alpha, Delta and Omicron in three major consecutive incidence waves. This study aims to describe the results of a routine but high-level SARS-CoV-2 genomic surveillance program. Our study of SARS-CoV-2 genomes in collaboration with the Public Health Authority of the Slovak Republic also helped to inform the public about the epidemiological situation during the pandemic.
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Affiliation(s)
- Diana Rusňáková
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 842 15 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
| | - Tatiana Sedláčková
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
| | - Peter Radvák
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Slovak Centre of Scientific and Technical Information, 840 05 Bratislava, Slovakia
| | - Miroslav Böhmer
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
- Public Health Authority of the Slovakia, 826 45 Bratislava, Slovakia
| | - Pavol Mišenko
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
| | - Jaroslav Budiš
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
- Slovak Centre of Scientific and Technical Information, 840 05 Bratislava, Slovakia
| | - Silvia Bokorová
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
| | | | | | - Tomáš Sládeček
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
| | - Jozef Sitarčík
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
- Slovak Centre of Scientific and Technical Information, 840 05 Bratislava, Slovakia
| | - Werner Krampl
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 842 15 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
| | | | - Anna Kaliňáková
- Public Health Authority of the Slovakia, 826 45 Bratislava, Slovakia
| | - Edita Staroňová
- Public Health Authority of the Slovakia, 826 45 Bratislava, Slovakia
| | - Elena Tichá
- Public Health Authority of the Slovakia, 826 45 Bratislava, Slovakia
| | - Terézia Vrábľová
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 842 15 Bratislava, Slovakia
- Public Health Authority of the Slovakia, 826 45 Bratislava, Slovakia
| | - Lucia Ševčíková
- Public Health Authority of the Slovakia, 826 45 Bratislava, Slovakia
| | - Barbora Kotvasová
- Public Health Authority of the Slovakia, 826 45 Bratislava, Slovakia
| | - Lucia Maďarová
- Regional Public Health Authority with the Seat in Banská Bystrica, 975 56 Banská Bystrica, Slovakia
| | - Soňa Feiková
- Regional Public Health Authority with the Seat in Banská Bystrica, 975 56 Banská Bystrica, Slovakia
| | - Kristína Beňová
- Regional Public Health Authority with the Seat in Trenčín, 911 01 Trenčín, Slovakia
| | - Lenka Reizigová
- Regional Public Health Authority with the Seat in Trenčín, 911 01 Trenčín, Slovakia
| | - Zuzana Onderková
- Regional Public Health Authority with the Seat in Košice, 040 11 Košice, Slovakia
| | - Dorota Ondrušková
- Regional Public Health Authority with the Seat in Košice, 040 11 Košice, Slovakia
| | - Dušan Loderer
- Biomedical Centre Martin, Jesseniuss Faculty of Medicine, Comenius University, 036 01 Martin, Slovakia
| | - Mária Škereňová
- Biomedical Centre Martin, Jesseniuss Faculty of Medicine, Comenius University, 036 01 Martin, Slovakia
| | - Zuzana Danková
- Biomedical Centre Martin, Jesseniuss Faculty of Medicine, Comenius University, 036 01 Martin, Slovakia
| | - Katarína Janíková
- Biomedical Centre Martin, Jesseniuss Faculty of Medicine, Comenius University, 036 01 Martin, Slovakia
| | - Erika Halašová
- Biomedical Centre Martin, Jesseniuss Faculty of Medicine, Comenius University, 036 01 Martin, Slovakia
| | - Elena Nováková
- Department of Microbiology and Immunology, Jessenius Faculty of Medicine in Martin, Comenius University, 036 01 Martin, Slovakia
| | - Ján Turňa
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 842 15 Bratislava, Slovakia
- Slovak Centre of Scientific and Technical Information, 840 05 Bratislava, Slovakia
| | - Tomáš Szemes
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 842 15 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
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Doi A, Tomita Y, Okura H, Matsuyama S. Frequent occurrence of mutations in nsp3 and nsp4 of SARS-CoV-2, presumably caused by the inhaled asthma drug ciclesonide. PNAS NEXUS 2022; 1:pgac197. [PMID: 36714870 PMCID: PMC9802299 DOI: 10.1093/pnasnexus/pgac197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/17/2022] [Indexed: 02/01/2023]
Abstract
Mutations in nonstructural protein 3 (nsp3) and nsp4 of SARS-CoV-2, presumably induced by the asthma drug ciclesonide (which also has anti-SARS-CoV-2 activity), were counted 5,851 cases in the GISAID EpiCoV genome database. Sporadic occurrence of mutants not linked to each other in the phylogenetic tree were identified at least 88 times; of which, 58 had one or more descendants in the same branch. Five of these had spread to more than 100 cases, and one had expanded to 4,748 cases, suggesting the mutations are frequent, selected in individual patients, and transmitted to form clusters of cases. Clinical trials of ciclesonide as a treatment for COVID-19 are the presumed cause of the frequent occurrence of mutations between 2020 June and 2021 November. In addition, because ciclesonide is a common treatment for asthma, it can drive mutations in asthmatics suffering from COVID-19. Ciclesonide-resistant mutations, which have unpredictable effects in humans, are likely to continue to emerge because SARS-CoV-2 remains prevalent globally.
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Affiliation(s)
- Akihiro Doi
- Research Center for Influenza and Respiratory Viruses, National Institute of Infectious Diseases, Murayama Branch, 4-7-1 Gakuen, Musashi-Murayama, Tokyo 208-0011, Japan
| | - Yuriko Tomita
- Research Center for Influenza and Respiratory Viruses, National Institute of Infectious Diseases, Murayama Branch, 4-7-1 Gakuen, Musashi-Murayama, Tokyo 208-0011, Japan
| | - Hiyori Okura
- Research Center for Influenza and Respiratory Viruses, National Institute of Infectious Diseases, Murayama Branch, 4-7-1 Gakuen, Musashi-Murayama, Tokyo 208-0011, Japan
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Fernandes RS, de Oliveira Silva J, Gomes KB, Azevedo RB, Townsend DM, de Paula Sabino A, Branco de Barros AL. Recent advances in point of care testing for COVID-19 detection. Biomed Pharmacother 2022; 153:113538. [PMID: 36076617 PMCID: PMC9371983 DOI: 10.1016/j.biopha.2022.113538] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/03/2022] [Accepted: 08/04/2022] [Indexed: 12/23/2022] Open
Abstract
The World Health Organizations declaration of the COVID-19 pandemic was a milestone for the scientific community. The high transmission rate and the huge number of deaths, along with the lack of knowledge about the virus and the evolution of the disease, stimulated a relentless search for diagnostic tests, treatments, and vaccines. The main challenges were the differential diagnosis of COVID-19 and the development of specific, rapid, and sensitive tests that could reach all people. RT-PCR remains the gold standard for diagnosing COVID-19. However, new methods, such as other molecular techniques and immunoassays emerged. Also, the need for accessible tests with quick results boosted the development of point of care tests (POCT) that are fast, and automated, with high precision and accuracy. This assay reduces the dependence on laboratory conditions and mass testing of the population, dispersing the pressure regarding screening and detection. This review summarizes the advances in the diagnostic field since the pandemic started, emphasizing various laboratory techniques for detecting COVID-19. We reviewed the main existing diagnostic methods, as well as POCT under development, starting with RT-PCR detection, but also exploring other nucleic acid techniques, such as digital PCR, loop-mediated isothermal amplification-based assay (RT-LAMP), clustered regularly interspaced short palindromic repeats (CRISPR), and next-generation sequencing (NGS), and immunoassay tests, and nanoparticle-based biosensors, developed as portable instruments for the rapid standard diagnosis of COVID-19.
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Bhar A. The application of next generation sequencing technology in medical diagnostics: a perspective. PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY 2022. [PMCID: PMC9395867 DOI: 10.1007/s43538-022-00098-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Rapid isolation, characterization, and identification are prerequisites of any successful medical intervention to infectious disease treatment. This is a real challenge to the scientific as well as a medical community to find out a proper and robust method of pathogen detection. Classical cultural, as well as biochemical test-based identification, has its own limitations to their time-consuming and ineffectiveness for closely related pathovars. Molecular diagnostics became a popular alternative to classical techniques for the past couple of decades but it required some prior information to detect the pathogen successfully. Recently, with the advent of next-generation sequencing (NGS) technology identification, and characterization of almost all the pathogenic bacteria become possible without any information a priori. Metagenomic next generation sequencing is another specialized type of NGS that is profoundly utilized in medical biotechnology and diagnostics now a days. Therefore, the present review is focused on a brief introduction to NGS technology, its application in medical microbiology, and possible future aspects for the development of medical sciences.
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Affiliation(s)
- Anirban Bhar
- Post Graduate Department of Botany, Ramakrishna Mission Vivekananda Centenary College, Rahara, Kolkata 700118 India
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Galli C, Ebranati E, Pellegrinelli L, Airoldi M, Veo C, Della Ventura C, Seiti A, Binda S, Galli M, Zehender G, Pariani E. From Clinical Specimen to Whole Genome Sequencing of A(H3N2) Influenza Viruses: A Fast and Reliable High-Throughput Protocol. Vaccines (Basel) 2022; 10:1359. [PMID: 36016246 PMCID: PMC9412868 DOI: 10.3390/vaccines10081359] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/11/2022] [Accepted: 08/11/2022] [Indexed: 11/29/2022] Open
Abstract
(1) Background: Over the last few years, there has been growing interest in the whole genome sequencing (WGS) of rapidly mutating pathogens, such as influenza viruses (IVs), which has led us to carry out in-depth studies on viral evolution in both research and diagnostic settings. We aimed at describing and determining the validity of a WGS protocol that can obtain the complete genome sequence of A(H3N2) IVs directly from clinical specimens. (2) Methods: RNA was extracted from 80 A(H3N2)-positive respiratory specimens. A one-step RT-PCR assay, based on the use of a single set of specific primers, was used to retro-transcribe and amplify the entire IV type A genome in a single reaction, thus avoiding additional enrichment approaches and host genome removal treatments. Purified DNA was quantified; genomic libraries were prepared and sequenced by using Illumina MiSeq platform. The obtained reads were evaluated for sequence quality and read-pair length. (3) Results: All of the study specimens were successfully amplified, and the purified DNA concentration proved to be suitable for NGS (at least 0.2 ng/µL). An acceptable coverage depth for all eight genes of influenza A(H3N2) virus was obtained for 90% (72/80) of the clinical samples with viral loads >105 genome copies/mL. The mean depth of sequencing ranged from 105 to 200 reads per position, with the majority of the mean depth values being above 103 reads per position. The total turnaround time per set of 20 samples was four working days, including sequence analysis. (4) Conclusions: This fast and reliable high-throughput sequencing protocol should be used for influenza surveillance and outbreak investigation.
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Affiliation(s)
- Cristina Galli
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy
| | - Erika Ebranati
- Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, 20157 Milan, Italy
- CRC-Coordinated Research Center “EpiSoMI”, University of Milan, 20122 Milan, Italy
| | - Laura Pellegrinelli
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy
| | - Martina Airoldi
- Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, 20157 Milan, Italy
| | - Carla Veo
- Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, 20157 Milan, Italy
- CRC-Coordinated Research Center “EpiSoMI”, University of Milan, 20122 Milan, Italy
| | - Carla Della Ventura
- Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, 20157 Milan, Italy
| | - Arlinda Seiti
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy
| | - Sandro Binda
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy
| | - Massimo Galli
- Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, 20157 Milan, Italy
| | - Gianguglielmo Zehender
- Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, 20157 Milan, Italy
- CRC-Coordinated Research Center “EpiSoMI”, University of Milan, 20122 Milan, Italy
| | - Elena Pariani
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy
- Interuniversity Research Center on Influenza and Other Transmissible Infections (CIRI-IT), University of Genoa, 16132 Genoa, Italy
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Receptor-Binding-Motif-Targeted Sanger Sequencing: a Quick and Cost-Effective Strategy for Molecular Surveillance of SARS-CoV-2 Variants. Microbiol Spectr 2022; 10:e0066522. [PMID: 35638906 PMCID: PMC9241651 DOI: 10.1128/spectrum.00665-22] [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] [Indexed: 11/20/2022] Open
Abstract
Whole-genome sequencing (WGS) is the gold standard for characterizing the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome and identification of new variants. However, the cost involved and time needed for WGS prevent routine, rapid clinical use. This study aimed to develop a quick and cost-effective surveillance strategy for SARS-CoV-2 variants in saliva and nasal swab samples by spike protein receptor-binding-motif (RBM)-targeted Sanger sequencing. Saliva and nasal swabs prescreened for the presence of the nucleocapsid (N) gene of SARS-CoV-2 were subjected to RBM-specific single-amplicon generation and Sanger sequencing. Sequences were aligned by CLC Sequence Viewer 8, and variants were identified based upon specific mutation signature. Based on this strategy, the present study identified Alpha, Beta/Gamma, Delta, and Omicron variants in a quick and cost-effective manner. IMPORTANCE The coronavirus disease 2019 (COVID-19) pandemic resulted in 427 million infections and 5.9 million deaths globally as of 21 February 2022. SARS-CoV-2, the causative agent of the COVID-19 pandemic, frequently mutates and has developed into variants of major public health concerns. Following the Alpha variant (B.1.1.7) infection wave, the Delta variant (B.1.617.2) became prevalent, and now the recently identified Omicron (B.1.1.529) variant is spreading rapidly and forming BA.1, BA.1.1, BA.2, BA.3, BA.4, and BA.5 lineages of concern. Prompt identification of mutational changes in SARS-CoV-2 variants is challenging but critical to managing the disease spread and vaccine/therapeutic modifications. Considering the cost involved and resource limitation of WGS globally, an RBM-targeted Sanger sequencing strategy is adopted in this study for quick molecular surveillance of SARS-CoV-2 variants.
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Havasi A, Visan S, Cainap C, Cainap SS, Mihaila AA, Pop LA. Influenza A, Influenza B, and SARS-CoV-2 Similarities and Differences – A Focus on Diagnosis. Front Microbiol 2022; 13:908525. [PMID: 35794916 PMCID: PMC9251468 DOI: 10.3389/fmicb.2022.908525] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 05/23/2022] [Indexed: 12/23/2022] Open
Abstract
In late December 2019, the first cases of viral pneumonia caused by an unidentified pathogen were reported in China. Two years later, SARS-CoV-2 was responsible for almost 450 million cases, claiming more than 6 million lives. The COVID-19 pandemic strained the limits of healthcare systems all across the world. Identifying viral RNA through real-time reverse transcription-polymerase chain reaction remains the gold standard in diagnosing SARS-CoV-2 infection. However, equipment cost, availability, and the need for trained personnel limited testing capacity. Through an unprecedented research effort, new diagnostic techniques such as rapid diagnostic testing, isothermal amplification techniques, and next-generation sequencing were developed, enabling accurate and accessible diagnosis. Influenza viruses are responsible for seasonal outbreaks infecting up to a quarter of the human population worldwide. Influenza and SARS-CoV-2 present with flu-like symptoms, making the differential diagnosis challenging solely on clinical presentation. Healthcare systems are likely to be faced with overlapping SARS-CoV-2 and Influenza outbreaks. This review aims to present the similarities and differences of both infections while focusing on the diagnosis. We discuss the clinical presentation of Influenza and SARS-CoV-2 and techniques available for diagnosis. Furthermore, we summarize available data regarding the multiplex diagnostic assay of both viral infections.
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Affiliation(s)
- Andrei Havasi
- Department of Oncology, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Department of Medical Oncology, The Oncology Institute “Prof. Dr. Ion Chiricuta”, Cluj-Napoca, Romania
| | - Simona Visan
- Department of Genetics, Genomics and Experimental Pathology, The Oncology Institute “Prof. Dr. Ion Chiricuta”, Cluj-Napoca, Romania
| | - Calin Cainap
- Department of Oncology, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Department of Medical Oncology, The Oncology Institute “Prof. Dr. Ion Chiricuta”, Cluj-Napoca, Romania
| | - Simona Sorana Cainap
- Pediatric Clinic No. 2, Department of Pediatric Cardiology, Emergency County Hospital for Children, Cluj-Napoca, Romania
- Department of Mother and Child, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
- *Correspondence: Simona Sorana Cainap, ;
| | - Alin Adrian Mihaila
- Faculty of Economics and Business Administration, Babes-Bolyai University, Cluj-Napoca, Romania
| | - Laura-Ancuta Pop
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Jum'ah H, Kundrapu S, Jabri A, Kondapaneni M, Tomashefski JF, Loeffler AG. Cardiac Macrophage Density in Covid-19 Infection: Relationship to Myocyte Necrosis and Acute Lung Injury. Cardiovasc Pathol 2022; 60:107447. [PMID: 35718082 PMCID: PMC9212794 DOI: 10.1016/j.carpath.2022.107447] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/27/2022] [Accepted: 06/12/2022] [Indexed: 11/30/2022] Open
Abstract
SARS-Cov-2 infection is not limited to the respiratory tract and can involve other organs including the heart, blood vessels, kidneys, liver, gastrointestinal tract, placenta, and skin. Covid-19 patients with cardiac involvement usually have higher morbidity and mortality compared to those without cardiac involvement. The frequency and the specificity of the myocardial pathological changes in patients who die after documented infection with SARS-Cov-2 is uncertain. Macrophages can be found in the normal heart (interstitium, around the endothelial cells and in the epicardial adipose tissue), and they are considered part of the major immune cell population in the heart. In this case-control autopsy study, we compare the gross and microscopic cardiac findings, and the available clinical characteristics between a group of 10 Covid-19 decedents and a control group of 20 patients who died with non-SARS-Cov-2 severe bronchopneumonia and/or diffuse alveolar damage. The objectives of this semi-quantitative study are to study single myocyte necrosis and its relation to the strain on the heart caused by lung injury as a causative mechanism, and to study the density of myocardial and epicardial macrophages in Covid-19 hearts in comparison to the control group, and in Covid-19 hearts with single myocyte necrosis in comparison to Covid-19 hearts without single myocyte necrosis. Lymphocytic myocarditis was not identified in any of the hearts from the Covid-19 or the control group. Single myocyte necrosis is more frequent in the Covid-19 group compared to the control group, suggesting that it is unrelated to the strain on the heart caused by underlying lung injury. The density of the macrophages in the epicardium and myocardium in the hearts of the Covid-19 group is higher compared to those in the control group. The density of epicardial macrophages is higher in the Covid-19 hearts with single myocyte necrosis than in those without. These observations contribute to our increasing appreciation of the role of macrophages in the pathophysiologic response to infection by SARS-CoV-2.
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Affiliation(s)
- Husam Jum'ah
- Department of Pathology, MetroHealth Medical Center, Cleveland, OH, US; Case Western Reserve University School of Medicine, Cleveland, OH
| | - Sirisha Kundrapu
- Department of Pathology, MetroHealth Medical Center, Cleveland, OH, US; Case Western Reserve University School of Medicine, Cleveland, OH
| | - Ahmad Jabri
- Case Western Reserve University School of Medicine, Cleveland, OH; Department of Cardiology, MetroHealth Medical Center, Cleveland, OH, US
| | - Meera Kondapaneni
- Case Western Reserve University School of Medicine, Cleveland, OH; Department of Cardiology, MetroHealth Medical Center, Cleveland, OH, US
| | - Joseph F Tomashefski
- Department of Pathology, MetroHealth Medical Center, Cleveland, OH, US; Case Western Reserve University School of Medicine, Cleveland, OH
| | - Agnes G Loeffler
- Department of Pathology, MetroHealth Medical Center, Cleveland, OH, US; Case Western Reserve University School of Medicine, Cleveland, OH.
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Erster O, Mendelson E, Kabat A, Levy V, Mannasse B, Assraf H, Azar R, Ali Y, Bucris E, Bar-Ilan D, Mor O, Elul M, Mandelboim M, Sofer D, Fleishon S, Zuckerman NS, Bar-Or I. Specific Detection of SARS-CoV-2 Variants B.1.1.7 (Alpha) and B.1.617.2 (Delta) Using a One-Step Quantitative PCR Assay. Microbiol Spectr 2022; 10:e0217621. [PMID: 35285705 PMCID: PMC9045307 DOI: 10.1128/spectrum.02176-21] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 02/11/2022] [Indexed: 12/29/2022] Open
Abstract
In this report, we describe the development of a reverse transcription-quantitative PCR (RT-qPCR) assay, termed Alpha-Delta assay, which can detect all severe acute respiratory syndrome coronavirus 2 (SC-2) variants and distinguish between the Alpha (B.1.1.7) and Delta (B.1.617.2) variants. The Alpha- and Delta-specific reactions in the assay target mutations that are strongly linked to the target variant. The Alpha reaction targets the D3L substitution in the N gene, and the Delta reaction targets the spike gene 156 to 158 mutations. Additionally, we describe a second Delta-specific assay that we use as a confirmatory test for the Alpha-Delta assay that targets the 119 to 120 deletion in the Orf8 gene. Both reactions have similar sensitivities of 15 to 25 copies per reaction, similar to the sensitivity of commercial SC-2 detection tests. The Alpha-Delta assay and the Orf8119del assay were successfully used to classify clinical samples that were subsequently analyzed by whole-genome sequencing. Lastly, the capability of the Alpha-Delta assay and Orf8119del assay to identify correctly the presence of Delta RNA in wastewater samples was demonstrated. This study provides a rapid, sensitive, and cost-effective tool for detecting and classifying two worldwide dominant SC-2 variants. It also highlights the importance of a timely diagnostic response to the emergence of new SC-2 variants with significant consequences on global health. IMPORTANCE The new assays described herein enable rapid, straightforward, and cost-effective detection of severe acute respiratory syndrome coronavirus 2 (SC-2) with immediate classification of the examined sample as Alpha, Delta, non-Alpha, or non-Delta variant. This is highly important for two main reasons: (i) it provides the scientific and medical community with a novel diagnostic tool to rapidly detect and classify any SC-2 sample of interest as Alpha, Delta, or none and can be applied to both clinical and environmental samples, and (ii) it demonstrates how to respond to the emergence of new variants of concern by developing a variant-specific assay. Such assays should improve our preparedness and adjust the diagnostic capacity to serve clinical, epidemiological, and research needs.
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Affiliation(s)
- Oran Erster
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Ella Mendelson
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
- School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Areej Kabat
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Virginia Levy
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Batya Mannasse
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Hadar Assraf
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Roberto Azar
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Yaniv Ali
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Efrat Bucris
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Dana Bar-Ilan
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Orna Mor
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
- School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Michal Elul
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Michal Mandelboim
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
- School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Danit Sofer
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Shay Fleishon
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Neta S. Zuckerman
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Itay Bar-Or
- Central Virology Laboratory, Public Health Services, Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel
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Yermanos A, Hong KL, Agrafiotis A, Han J, Nadeau S, Valenzuela C, Azizoglu A, Ehling R, Gao B, Spahr M, Neumeier D, Chang CH, Dounas A, Petrillo E, Nissen I, Burcklen E, Feldkamp M, Beisel C, Oxenius A, Savic M, Stadler T, Rudolf F, Reddy ST. DeepSARS: simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2. BMC Genomics 2022; 23:289. [PMID: 35410128 PMCID: PMC8995413 DOI: 10.1186/s12864-022-08403-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/21/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The continued spread of SARS-CoV-2 and emergence of new variants with higher transmission rates and/or partial resistance to vaccines has further highlighted the need for large-scale testing and genomic surveillance. However, current diagnostic testing (e.g., PCR) and genomic surveillance methods (e.g., whole genome sequencing) are performed separately, thus limiting the detection and tracing of SARS-CoV-2 and emerging variants. RESULTS Here, we developed DeepSARS, a high-throughput platform for simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2 by the integration of molecular barcoding, targeted deep sequencing, and computational phylogenetics. DeepSARS enables highly sensitive viral detection, while also capturing genomic diversity and viral evolution. We show that DeepSARS can be rapidly adapted for identification of emerging variants, such as alpha, beta, gamma, and delta strains, and profile mutational changes at the population level. CONCLUSIONS DeepSARS sets the foundation for quantitative diagnostics that capture viral evolution and diversity. DeepSARS uses molecular barcodes (BCs) and multiplexed targeted deep sequencing (NGS) to enable simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2. Image was created using Biorender.com .
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Affiliation(s)
- Alexander Yermanos
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
- Botnar Research Centre for Child Health, Basel, Switzerland.
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland.
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland.
| | - Kai-Lin Hong
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
- Botnar Research Centre for Child Health, Basel, Switzerland
| | - Andreas Agrafiotis
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
- Botnar Research Centre for Child Health, Basel, Switzerland
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Jiami Han
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
- Botnar Research Centre for Child Health, Basel, Switzerland
| | - Sarah Nadeau
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Cecilia Valenzuela
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Asli Azizoglu
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Roy Ehling
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Beichen Gao
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Michael Spahr
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Daniel Neumeier
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Ching-Hsiang Chang
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Andreas Dounas
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Ezequiel Petrillo
- Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE-UBA-CONICET), Ciudad Universitaria, Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Buenos Aires, Argentina
| | - Ina Nissen
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Elodie Burcklen
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Mirjam Feldkamp
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Christian Beisel
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | | | - Miodrag Savic
- Department of Health, Economics and Health Directorate Canton Basel-Landschaft, Liestal, Switzerland
| | - Tanja Stadler
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Fabian Rudolf
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
| | - Sai T Reddy
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
- Botnar Research Centre for Child Health, Basel, Switzerland.
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Agwa SHA, Elghazaly H, El Meteini MS, Yahia YA, Khaled R, Abd Elsamee AM, Darwish RM, Elsayed SM, Hafez H, Mahmoud BS, Em F, Matboli M. Identifying SARS-CoV-2 Lineage Mutation Hallmarks and Correlating Them With Clinical Outcomes in Egypt: A Pilot Study. Front Mol Biosci 2022; 9:817735. [PMID: 35350713 PMCID: PMC8958014 DOI: 10.3389/fmolb.2022.817735] [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: 11/18/2021] [Accepted: 02/08/2022] [Indexed: 12/15/2022] Open
Abstract
The SARS-CoV-2 pandemic has led to over 4.9 million deaths as of October 2021. One of the main challenges of creating vaccines, treatment, or diagnostic tools for the virus is its mutations and emerging variants. A couple of variants were declared as more virulent and infectious than others. Some approaches were used as nomenclature for SARS-CoV-2 variants and lineages. One of the most used is the Pangolin nomenclature. In our study, we enrolled 35 confirmed SARS-CoV-2 patients and sequenced the viral RNA in their samples. We also aimed to highlight the hallmark mutations in the most frequent lineage. We identified a seven-mutation signature for the SARS-CoV-2 C36 lineage, detected in 56 countries and an emerging lineage in Egypt. In addition, we identified one mutation which was highly negatively correlated with the lineage. On the other hand, we found no significant correlation between our clinical outcomes and the C36 lineage. In conclusion, the C36 lineage is an emerging SARS-CoV-2 variant that needs more investigation regarding its clinical outcomes compared to other strains. Our study paves the way for easier diagnosis of variants of concern using mutation signatures.
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Affiliation(s)
- Sara H A Agwa
- Clinical Pathology and Molecular Genomics Unit of Medical Ain Shams Research Institute (MASRI), Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Hesham Elghazaly
- Oncology Department, Medical Ain Shams Research Institute (MASRI), Cairo, Egypt
| | - Mahmoud Shawky El Meteini
- Department of General Surgery, The School of Medicine, University of Ain Shams, Abbassia, Cairo, Egypt
| | - Yahia A Yahia
- Biochemistry Department, Faculty of Pharmacy, Misr University for Science and Technology, Giza, Egypt
| | - Radwa Khaled
- Biotechnology/Biomolecular Chemistry Program, Faculty of Science, Cairo University, Cairo, Egypt
- Biochemistry Department, Faculty of Medicine, Modern University for Technology and Information, Cairo, Egypt
| | - Aya M Abd Elsamee
- Biochemistry and Molecular Genomics Unit of Medical Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
| | - Reham M Darwish
- Biochemistry and Molecular Genomics Unit of Medical Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
| | - Shaimaa M Elsayed
- Biochemistry and Molecular Genomics Unit of Medical Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
| | - Hala Hafez
- Clinical Pathology Department, Infection Control Unit, University of Ain Shams, Cairo, Egypt
| | - Basma S Mahmoud
- Clinical Pathology Department, Infection Control Unit, University of Ain Shams, Cairo, Egypt
| | - Fouda Em
- Pediatric Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Marwa Matboli
- Medicinal Biochemistry and Molecular Biology Department, Faculty of Medicine, University of Ain Shams, Cairo, Egypt
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47
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Aghamirza Moghim Aliabadi H, Eivazzadeh‐Keihan R, Beig Parikhani A, Fattahi Mehraban S, Maleki A, Fereshteh S, Bazaz M, Zolriasatein A, Bozorgnia B, Rahmati S, Saberi F, Yousefi Najafabadi Z, Damough S, Mohseni S, Salehzadeh H, Khakyzadeh V, Madanchi H, Kardar GA, Zarrintaj P, Saeb MR, Mozafari M. COVID-19: A systematic review and update on prevention, diagnosis, and treatment. MedComm (Beijing) 2022; 3:e115. [PMID: 35281790 PMCID: PMC8906461 DOI: 10.1002/mco2.115] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 12/18/2021] [Accepted: 12/19/2021] [Indexed: 01/09/2023] Open
Abstract
Since the rapid onset of the COVID-19 or SARS-CoV-2 pandemic in the world in 2019, extensive studies have been conducted to unveil the behavior and emission pattern of the virus in order to determine the best ways to diagnosis of virus and thereof formulate effective drugs or vaccines to combat the disease. The emergence of novel diagnostic and therapeutic techniques considering the multiplicity of reports from one side and contradictions in assessments from the other side necessitates instantaneous updates on the progress of clinical investigations. There is also growing public anxiety from time to time mutation of COVID-19, as reflected in considerable mortality and transmission, respectively, from delta and Omicron variants. We comprehensively review and summarize different aspects of prevention, diagnosis, and treatment of COVID-19. First, biological characteristics of COVID-19 were explained from diagnosis standpoint. Thereafter, the preclinical animal models of COVID-19 were discussed to frame the symptoms and clinical effects of COVID-19 from patient to patient with treatment strategies and in-silico/computational biology. Finally, the opportunities and challenges of nanoscience/nanotechnology in identification, diagnosis, and treatment of COVID-19 were discussed. This review covers almost all SARS-CoV-2-related topics extensively to deepen the understanding of the latest achievements (last updated on January 11, 2022).
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Affiliation(s)
- Hooman Aghamirza Moghim Aliabadi
- Protein Chemistry LaboratoryDepartment of Medical BiotechnologyBiotechnology Research CenterPasteur Institute of IranTehranIran
- Advance Chemical Studies LaboratoryFaculty of ChemistryK. N. Toosi UniversityTehranIran
| | | | - Arezoo Beig Parikhani
- Department of Medical BiotechnologyBiotechnology Research CenterPasteur InstituteTehranIran
| | | | - Ali Maleki
- Department of ChemistryIran University of Science and TechnologyTehranIran
| | | | - Masoume Bazaz
- Department of Medical BiotechnologyBiotechnology Research CenterPasteur InstituteTehranIran
| | | | | | - Saman Rahmati
- Department of Medical BiotechnologyBiotechnology Research CenterPasteur InstituteTehranIran
| | - Fatemeh Saberi
- Department of Medical BiotechnologySchool of Advanced Technologies in MedicineShahid Beheshti University of Medical SciencesTehranIran
| | - Zeinab Yousefi Najafabadi
- Department of Medical BiotechnologySchool of Advanced Technologies in MedicineTehran University of Medical SciencesTehranIran
- ImmunologyAsthma & Allergy Research InstituteTehran University of Medical SciencesTehranIran
| | - Shadi Damough
- Department of Medical BiotechnologyBiotechnology Research CenterPasteur InstituteTehranIran
| | - Sara Mohseni
- Non‐metallic Materials Research GroupNiroo Research InstituteTehranIran
| | | | - Vahid Khakyzadeh
- Department of ChemistryK. N. Toosi University of TechnologyTehranIran
| | - Hamid Madanchi
- School of MedicineSemnan University of Medical SciencesSemnanIran
- Drug Design and Bioinformatics UnitDepartment of Medical BiotechnologyBiotechnology Research CenterPasteur Institute of IranTehranIran
| | - Gholam Ali Kardar
- Department of Medical BiotechnologySchool of Advanced Technologies in MedicineTehran University of Medical SciencesTehranIran
- ImmunologyAsthma & Allergy Research InstituteTehran University of Medical SciencesTehranIran
| | - Payam Zarrintaj
- School of Chemical EngineeringOklahoma State UniversityStillwaterOklahomaUSA
| | - Mohammad Reza Saeb
- Department of Polymer TechnologyFaculty of ChemistryGdańsk University of TechnologyGdańskPoland
| | - Masoud Mozafari
- Department of Tissue Engineering & Regenerative MedicineIran University of Medical SciencesTehranIran
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48
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Cieszanowski A, Czekajska E, Giżycka B, Gruszczyńska K, Oronowicz-Jaśkowiak AS, Podgórska J, Serafin Z, Szurowska E, Walecki J. Indications for imaging studies in SARS-CoV-2 infected patients - recommendations of the Polish Medical Society of Radiology. Pol J Radiol 2022; 87:e63-e68. [PMID: 35280949 PMCID: PMC8906178 DOI: 10.5114/pjr.2022.113263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 01/11/2022] [Indexed: 11/17/2022] Open
Abstract
The pandemic involving COVID-19 caused by the SARS-CoV-2 coronavirus, due to its severe symptoms and high transmission rate, has gone on to pose a control challenge for healthcare systems all around the world. We present the third version of the recommendations of the Polish Medical Society of Radiology (PMSR), presuming that our knowledge on COVID-19 will advance further rapidly, to the extent that further supplementation and modification will prove necessary. These recommendations involve rules of conduct, procedures, and safety measures that should be introduced in radiology departments, as well as indications for imaging studies.
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Affiliation(s)
- Andrzej Cieszanowski
- Department of Radiology I, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | | | - Barbara Giżycka
- Department of Diagnostic Imaging, Multispeciality Hospital Megrez Sp. z o.o., Tychy, Poland
| | - Katarzyna Gruszczyńska
- Department of Radiology and Nuclear Medicine, Faculty of Medical Science in Katowice, Medical University of Silesia, Poland
| | | | - Joanna Podgórska
- Department of Radiology I, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Zbigniew Serafin
- Department of Radiology and Diagnostic Imaging, Nicolaus Copernicus University, Collegium Medicum, Bydgoszcz, Poland
| | - Edyta Szurowska
- 2 Department of Radiology, Medical University of Gdansk, Gdansk, Poland
| | - Jerzy Walecki
- Department of Diagnostic Imaging, Centre of Postgraduate Medical Education, Warsaw, Poland
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49
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Carpenter RE, Tamrakar VK, Almas S, Brown E, Sharma R. COVIDSeq as Laboratory Developed Test (LDT) for Diagnosis of SARS-CoV-2 Variants of Concern (VOC). ARCHIVES OF CLINICAL AND BIOMEDICAL RESEARCH 2022; 6:954-970. [PMID: 36588916 PMCID: PMC9802674 DOI: 10.26502/acbr.50170309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Rapid classification and detection of SARS-CoV-2 variants have been critical in comprehending the virus's transmission dynamics. Clinical manifestation of the infection is influenced by comorbidities such as age, immune status, diabetes, and the infecting variant. Thus, clinical management may differ for new variants. For example, some monoclonal antibody treatments are variant-specific. Yet, a U.S. Food and Drug Administration (FDA)-approved test for detecting the SARS-CoV-2 variant is unavailable. A laboratory-developed test (LDT) remains a viable option for reporting the infecting variant for clinical intervention or epidemiological purposes. Accordingly, we have validated the Illumina COVIDSeq assay as an LDT according to the guidelines prescribed by the College of American Pathologists (CAP) and Clinical Laboratory Improvement Amendments (CLIA). The limit of detection (LOD) of this test is Ct<30 (~15 viral copies) and >200X genomic coverage, and the test is 100% specific in the detection of existing variants. The test demonstrated 100% precision in inter-day, intra-day, and intra-laboratory reproducibility studies. It is also 100% accurate, defined by reference strain testing and split sample testing with other CLIA laboratories. Advanta Genetics LDT COVIDSeq has been reviewed by CAP inspectors and is under review by FDA for Emergency Use Authorization.
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Affiliation(s)
- Rob E Carpenter
- Advanta Genetics, 10935 CR 159, Tyler, Texas 75703, USA
- University of Texas at Tyler, 3900 University Boulevard, Tyler, Texas 75799, USA
- Scienetix, 10935 CR 159, Tyler, Texas 75703, USA
| | - Vaibhav K Tamrakar
- ICMR-National Institute of Research in Tribal Health, Jabalpur, MP 482003, INDIA
- RetroBioTech LLC, 838 Dalmalley Ln, Coppell, TX 75019, USA
| | - Sadia Almas
- Advanta Genetics, 10935 CR 159, Tyler, Texas 75703, USA
| | - Emily Brown
- Advanta Genetics, 10935 CR 159, Tyler, Texas 75703, USA
| | - Rahul Sharma
- Advanta Genetics, 10935 CR 159, Tyler, Texas 75703, USA
- RetroBioTech LLC, 838 Dalmalley Ln, Coppell, TX 75019, USA
- Scienetix, 10935 CR 159, Tyler, Texas 75703, USA
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50
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Alathari MJA, Al Mashhadany Y, Mokhtar MHH, Burham N, Bin Zan MSD, A Bakar AA, Arsad N. Human Body Performance with COVID-19 Affectation According to Virus Specification Based on Biosensor Techniques. SENSORS (BASEL, SWITZERLAND) 2021; 21:8362. [PMID: 34960456 PMCID: PMC8704003 DOI: 10.3390/s21248362] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/08/2021] [Accepted: 12/09/2021] [Indexed: 12/12/2022]
Abstract
Life was once normal before the first announcement of COVID-19's first case in Wuhan, China, and what was slowly spreading became an overnight worldwide pandemic. Ever since the virus spread at the end of 2019, it has been morphing and rapidly adapting to human nature changes which cause difficult conundrums in the efforts of fighting it. Thus, researchers were steered to investigate the virus in order to contain the outbreak considering its novelty and there being no known cure. In contribution to that, this paper extensively reviewed, compared, and analyzed two main points; SARS-CoV-2 virus transmission in humans and detection methods of COVID-19 in the human body. SARS-CoV-2 human exchange transmission methods reviewed four modes of transmission which are Respiratory Transmission, Fecal-Oral Transmission, Ocular transmission, and Vertical Transmission. The latter point particularly sheds light on the latest discoveries and advancements in the aim of COVID-19 diagnosis and detection of SARS-CoV-2 virus associated with this disease in the human body. The methods in this review paper were classified into two categories which are RNA-based detection including RT-PCR, LAMP, CRISPR, and NGS and secondly, biosensors detection including, electrochemical biosensors, electronic biosensors, piezoelectric biosensors, and optical biosensors.
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Affiliation(s)
- Mohammed Jawad Ahmed Alathari
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
| | - Yousif Al Mashhadany
- Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar 00964, Iraq;
| | - Mohd Hadri Hafiz Mokhtar
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
| | - Norhafizah Burham
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
- School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
| | - Mohd Saiful Dzulkefly Bin Zan
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
| | - Ahmad Ashrif A Bakar
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
| | - Norhana Arsad
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
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