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

ISBN-13: 9783031280115 / Angielski

Paul C. Guest

Opis

The COVID-19 pandemic caused by the SARS-CoV-2 virus has affected nearly every country and territory in the world. Although worldwide vaccination efforts have reduced the risk of serious disease outcomes, disparities in distribution have led to multiple waves of SARS-CoV-2 outbreaks and the emergence of variants of concern, some of which have enhanced infectivity and ability to evade existing vaccines. Hence there is an increasing interest in understanding the evolution of viruses like SARS-CoV-2, as well as improving our capacity to effectively current and manage future pandemics.This new volume reviews the most effective omic techniques for increasing our understanding of COVID-19, to improve diagnostics, prognostics, and genomic surveillance, and to facilitate development of effective treatments and vaccines. Chapters are written by an international team of experts and explore methods in the areas of genomics, transcriptomics, proteomics, and metabolomics. Techniques used to assess physiological function at the molecular level and artificial intelligence approaches used for more effective validation and translation of biomarker candidates into clinical use are also discussed. This book is an excellent resource for researchers studying biomarkers, virology, metabolic diseases, and infectious diseases, as well as clinical scientists, physicians, drug company scientists, and healthcare workers.

Spis treści

1. LC-MS Analysis of Serum and Plasma to Identify Circulating Biomarkers of SARS-CoV-2 Infection

2. Mass Spectrometry Analyses Combined with Machine Learning to Identify Robust Biomarkers for COVID-19 Disease

3. Selective Reaction Monitoring Mass Spectrometry Methods for Establishing a Panel of COVID-19 Biomarkers

4. Chip-Based Assays for Multiplexed Analysis of SARS-CoV-2 Viral Infection

5. Screening of Metabolic Profiles of Serum Metabolites in COVID-19 Patients

6. Proteomic Techniques in Models of SARS-CoV-2 Infection

7. Multiplex Immunoassay Approaches to Study the Cytokine Storm Effect

8. Proteomic Methods for the Study of Organ Failure Associated with Severe COVID-19 Disease Courses

9. Screening of Natural Products for COVID-19 Treatment using Multiplex Biomarker Readouts

10. Multiplex Lateral Flow Antigen and Antibody Tests for Diagnosis and Surveillance of COVID-19 Disease

11. Genomic Surveillance Techniques to Monitor SARS-CoV-2 Variants of Concern

12. Multiplex Quantitative PCR Approaches for Diagnosis and Tracking of SARS-CoV-2 Variants

13. Lipidomic Analysis of Fatty Acids as Potential New Biomarkers and Targets for Improved Treatment of COVID-19 Disease

14. Multiplex Omic Methods for Screening and Triaging COVID-19 Patients According to Disease Severity

15. Point-of-Care Techniques to Establish Risk of COVID-19 Disease Outcomes

16. Multiplex Vaccination Approaches for Keeping Pace with Emerging SARS-CoV-2 Variants of Concern

17. The Combined use of Artificial Intelligence and Circulating Molecular Profiles to Identify Prognostic Markers of COVID-19 Disease

O autorze

Dr. Paul C. Guest, Ph.D, is a scientific researcher/writer with 38 years of experience in the fields of metabolic and neurological disorders. This includes experience in both academia and the pharmaceutical industry with the majority of time spent at the University of Cambridge and Merck Sharp & Dohme in the United Kingdom. He is also affiliated with the University of Campinas in Sao Paulo Brazil and Otto-von-Guericke-University in Magdeburg Germany, still focused on advancing the field of biomarkers for neurological disorders such as schizophrenia, age-related diseases such as diabetes, cancer, cardiovascular disorders, sarcopenia and Alzheimer’s disease, and more recently on infectious diseases such as COVID-19.