| Literature DB >> 35840546 |
Ghulam Rasool1, Muhammad Riaz1, Mazhar Abbas2, Hina Fatima3,4, Muhammad Mustafa Qamar1, Farzana Zafar4, Zahed Mahmood5.
Abstract
COVID-19, a novel coronavirus disease, has provoked a variety of health and safety concerns, and socioeconomic challenges around the globe. The laboratory diagnosis of SARS-CoV-2 was quickly established utilizing nucleic acid amplification techniques (NAAT) after the disease causing virus has been identified, and its genetic sequence has been determined. In addition to NAAT, serological tests based on antibodies testing against SARS-CoV-2 were introduced for diagnostic and epidemiologic studies. Other biochemical investigations include monitoring of peripheral blood cells count, platelets/lymphocyte ratio, coagulation profile, cardiac, and inflammatory markers such as cytokines storm are also crucial in combating COVID-19 pandemic. Further, accurate and reliable laboratory results for SARS-CoV-2 play very important role in the initiation of early treatment and timely management of COVID-19 patients, provide support in clinical decision-making process to control infection, and detection of asymptomatic cases. The Task Force on Coronavirus-19 constituted by International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) has recognized informational framework for epidemiology, pathogenesis, and recommended the PCR-based analysis, serological and biochemical assays for analysis, monitoring, and management of disease. This literature review provides an overview of the currently used diagnostic techniques in clinical laboratories for the diagnosis, treatment monitoring, and management of COVID-19 patients. We concluded that each assays differ in their performance characteristics and the utilization of multiple techniques is necessary for the accurate diagnosis and management of SARS-CoV-2 infection.Entities:
Keywords: COVID-19 Diagnostics; SARS-CoV-2 antibody response; biochemical monitoring; molecular testing; serological testing
Mesh:
Substances:
Year: 2022 PMID: 35840546 PMCID: PMC9289644 DOI: 10.1177/03946320221115316
Source DB: PubMed Journal: Int J Immunopathol Pharmacol ISSN: 0394-6320 Impact factor: 3.298
Comparative assessment of polymerase chain reaction and serological/immunological tests.
| Advantages/limitations | Nucleic acid tests (e.g., Polymerase chain reaction) | Serological tests (IgG/IgM/Antigens) |
|---|---|---|
| Pros | Specific and sensitive | Fast TAT/rapid testing |
| Cons | Challenge of sample collection (swab) | Non diagnostic |
Combined polymerase chain reaction and serological test results interpretations.
| Polymerase chain reaction result | IgG/IgM result | Interpretations |
|---|---|---|
| −ve | −ve | 1. Infection not present |
| Positive | Negative | 1. Illness at first week |
| Positive | +ve | 1. Infection is active; contagious patient and quarantine needed |
| −ve | +ve | 1. Infection recovered |
Figure 1.Hematological and biochemical markers of coronavirus-19 sequence and strength.
New technologies and emerging biomarkers for COVID-19.
| Technology | Example | Developer | Source |
|---|---|---|---|
| Omic-based | |||
| Protein interactomics | SARS-CoV-2 protein interaction map | QBI COVID Research Group |
|
| Efficient proteomics | Sick person proteome investigation by high throughput mass spectrometry | European collaborative team |
|
| Individual genetics | Person genome sequencing | Genomic England & GenOMICC |
|
| Bio-imaging | Coronavirus-19 mass spectrometry combination | MS alliance |
|
| AI/ML-based | |||
| Artificial intelligence medicine detection and improvement | BenevolentA |
| |
| Coronavirus indication reading tracking app | ZOE, Massachusetts General Hospital, and King’s College of London |
| |
| Structure-based | |||
| M(pro) structure-based fundamental in silicon | Different |
| |
| High-throughput | China collaborative team |
| |
| Computational in silica examination of severe acute respiratory syndrome CoV-2 viral targets | University of Pennsylvania & Children’s |
| |
| Nanotechnology | |||
| Nano-particles | Localized surface Plasmon resonance sensor | Empa, ETH Zurich, & Zurich University Hospital |
|
| Types of nanoparticles synthesized by carbon containing polymer | University of California, San Diego |
| |
| Sequencing of biopolymers specifically nucleotides | LamPORE | Oxford Nanopore Technologies |
|
| Fluorescence microscopy techniques | Nanoimager | ONI |
|
| Digital technology | |||
| In coronavirus-19 recognition and translation of spoken language into text by computers | Carnegie Mellon University; and Cambridge University |
| |
| COV-19 officially discouraged by governments, physicians and patient care organizations | Apple |
| |
| For Coronavirus-19 used cardinal directions | Seqster |
| |
| Detect the RNA component of virus by Smartphone-based multiplex 30-min | University of Illinois, Urbana-Champaign |
| |
| MBioLIMS | |||
| Bio-repository | Biobanking coronavirus-19 stimulation | LabVantage Solutions |
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| wwPDB | Primary protein structure database | Collaborative team from UVA, UAM, |
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| Tomography | COVID DPR | Indica Labs and Octo |
|
Abbreviations: ICHB PAN, Institute of Bioorganic Chemistry of the Polish Academy of Sciences; COVID-19; coronavirus disease 2019; AI, artificial intelligence; UVA, University of Virginia; UAM, University of Adam Mickiewicz; QBI, Queensland Brain Institute; MS, mass spectrometry; NIH, National Institutes of Health; LSPR, localized surface plasmon resonance