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Application of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19

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Cover of 'Application of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19'

Table of Contents

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    Book Overview
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    Chapter 1 The COVID-19 Pandemic: SARS-CoV-2 Structure, Infection, Transmission, Symptomology, and Variants of Concern.
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    Chapter 2 Long-Term Vaccination and Treatment Strategies for COVID-19 Disease and Future Coronavirus Pandemics.
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    Chapter 3 Consequences of the Lockdown: Domestic Violence During the COVID-19 Pandemic.
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    Chapter 4 Psychological Distress Impact of Coronavirus Disease (COVID-19) Outbreak on Three Continents: A Systematic Review and Meta-analysis.
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    Chapter 5 A Molecular Biomarker-Based Triage Approach for Targeted Treatment of Post-COVID-19 Syndrome Patients with Persistent Neurological or Neuropsychiatric Symptoms
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    Chapter 6 Genetic Associations with Coronavirus Susceptibility and Disease Severity
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    Chapter 7 COVID Diagnostics: From Molecules to Omics
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    Chapter 8 Assessing Biomarkers in Viral Infection.
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    Chapter 9 Proteomic Investigation of COVID-19 Severity During the Tsunamic Second Wave in Mumbai
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    Chapter 10 NMR-Metabolomics in COVID-19 Research.
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    Chapter 11 Potential Biomarkers of Mitochondrial Dysfunction Associated with COVID-19 Infection.
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    Chapter 12 Red Cell Distribution Width as a Prognostic Indicator for Mortality and ICU Admission in Patients with COVID-19.
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    Chapter 13 Predicting the COVID-19 Patients Status Using Chest CT Scan Findings: A Risk Assessment Model Based on Decision Tree Analysis
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    Chapter 14 Inferring Recombination Events in SARS-CoV-2 Variants In Silico.
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    Chapter 15 Amplicon-Based Nanopore Sequencing of Patients Infected by the SARS-CoV-2 Omicron (B.1.1.529) Variant in India.
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    Chapter 16 Perspectives on Rapid Antigen Tests for Downstream Validation and Development of Theranostics
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    Chapter 17 Machine Learning and COVID-19: Lessons from SARS-CoV-2
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    Chapter 18 The Relationship Between Psoriasis, COVID-19 Infection and Vaccination During Treatment of Patients
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    Chapter 19 Immunogenicity of Inactivated SARS-CoV-2 Vaccine (BBIBP-CorV; Sinopharm) and Short-Term Clinical Outcomes in Vaccinated Solid Organ Transplant Recipients: A Prospective Cohort Study
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    Chapter 20 Spices and Biomarkers of COVID-19: A Mechanistic and Therapeutic Perspective.
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    Chapter 21 Antiviral Mechanisms of Curcumin and Its Derivatives in Prevention and Treatment of COVID-19: A Review.
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    Chapter 22 Evaluation of Curcumin-Piperine Supplementation in COVID-19 Patients Admitted to the Intensive Care: A Double-Blind, Randomized Controlled Trial
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    Chapter 23 Chronobiological Efficacy of Combined Therapy of Pelargonium Sidoides and Melatonin in Acute and Persistent Cases of COVID-19: A Hypothetical Approach.
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    Chapter 24 The Potential Effect of Royal Jelly on Biomarkers Related to COVID-19 Infection and Severe Progression
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    Chapter 25 Statins: Beneficial Effects in Treatment of COVID-19.
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    Chapter 26 Multiplex Immunoassay Approaches Using Luminex® xMAP® Technology for the Study of COVID-19 Disease.
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    Chapter 27 Rapid Detection of SARS-CoV-2 Variants of Concern by Genomic Surveillance Techniques
Attention for Chapter 18: The Relationship Between Psoriasis, COVID-19 Infection and Vaccination During Treatment of Patients
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Summary
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Chapter title
The Relationship Between Psoriasis, COVID-19 Infection and Vaccination During Treatment of Patients
Chapter number 18
Book title
Application of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19
Published by
Springer, Cham, June 2023
DOI 10.1007/978-3-031-28012-2_18
Pubmed ID
37378776
Book ISBNs
978-3-03-128011-5, 978-3-03-128012-2
Authors

Khanahmadi, Maryam, Khayatan, Danial, Guest, Paul C., Hashemian, Somayyeh, Abdolghaffari, Amir Hossein, Sahebkar, Amirhossein

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Nursing and Health Professions 2 33%
Engineering 1 17%
Unknown 3 50%

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