Literature DB >> 32356761

Navigating the Pandemic Response Life Cycle: Molecular Diagnostics and Immunoassays in the Context of COVID-19 Management.

Baback Gharizadeh, Junqiu Yue, Mingxia Yu, Yue Liu, Meiying Zhou, Daru Lu, Jingwei Zhang.   

Abstract

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To counter COVID-19 spreading, an infrastructure to provide rapid and thorough molecular diagnostics and serology testing is the cornerstone of outbreak and pandemic management. We hereby review the clinical insights with regard to using molecular tests and immunoassays in the context of COVID-19 management life cycle: the preventive phase, the preparedness phase, the response phase and the recovery phase. The spatial and temporal distribution of viral RNA, antigens and antibodies during human infection is summarized to provide a biological foundation for accurate detection of the disease. We shared the lessons learned and the obstacles encountered during real world high-volume screening programs. Clinical needs are discussed to identify existing technology gaps in these tests. Leverage technologies, such as engineered polymerases, isothermal amplification, and direct amplification from complex matrices may improve the productivity of current infrastructure, while emerging technologies like CRISPR diagnostics, visual end point detection, and PCR free methods for nucleic acid sensing may lead to at-home tests. The lessons learned, and innovations spurred from the COVID-19 pandemic could upgrade our global public health infrastructure to better combat potential outbreaks in the future.

Entities:  

Mesh:

Year:  2021        PMID: 32356761     DOI: 10.1109/RBME.2020.2991444

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  6 in total

1.  Rapid point-of-care testing for COVID-19: quality of supportive information for lateral flow serology assays.

Authors:  Patrick Kierkegaard; Anna McLister; Peter Buckle
Journal:  BMJ Open       Date:  2021-03-19       Impact factor: 2.692

2.  Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning.

Authors:  Shalini Ramanathan; Mohan Ramasundaram
Journal:  J Supercomput       Date:  2021-01-04       Impact factor: 2.474

3.  Non-Coding RNAs in Rheumatoid Arthritis: Implications for Biomarker Discovery.

Authors:  Julio Enrique Castañeda-Delgado; Noé Macias-Segura; Cesar Ramos-Remus
Journal:  Noncoding RNA       Date:  2022-05-25

Review 4.  COVID-19 and pulmonary fibrosis: therapeutics in clinical trials, repurposing, and potential development.

Authors:  Joowon Yim; Hee Hyun Lim; Youngjoo Kwon
Journal:  Arch Pharm Res       Date:  2021-05-28       Impact factor: 6.010

5.  Correlation-Based Analysis of COVID-19 Virus Genome Versus Other Fatal Virus Genomes.

Authors:  Sidharth Purohit; Suresh Chandra Satapathy; S Sibi Chakkaravarthy; Yu-Dong Zhang
Journal:  Arab J Sci Eng       Date:  2021-06-24       Impact factor: 2.807

Review 6.  Biomedical Science to Tackle the COVID-19 Pandemic: Current Status and Future Perspectives.

Authors:  Camilo Zamora-Ledezma; David F Clavijo C; Ernesto Medina; Federico Sinche; Nelson Santiago Vispo; Si Amar Dahoumane; Frank Alexis
Journal:  Molecules       Date:  2020-10-11       Impact factor: 4.411

  6 in total

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