Pulmonomics: Omics Approaches for Understanding Pulmonary Diseases

✍ Scribed by Sudipto Saha, Sreyashi Majumdar, Parthasarathi Bhattacharyya

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 411
• Category: Library

✦ Synopsis

This book comprehensively reviews various omics approaches like genomics, proteomics, transcriptomics, and metabolomics for understanding pulmonary disease at molecular and systems levels. The initial chapters present the pathogenesis of major pulmonary diseases, namely, obstructive diseases, restrictive diseases, vascular diseases, infectious diseases, and neoplastic carcinoma. The book chapters provide current information about the role of the microbiome and applications of medical imaging, bioinformatics tools, and databases for diagnosis and designing treatment strategies against complex lung diseases. Further, the book discusses omics technologies to identify biomarkers for the early diagnosis and prognosis of pulmonary diseases. Finally, the book elucidates the multi-omics approaches and data integration using mathematical modeling for insights into the disease etiology towards improving the prognostics and predictive accuracy of disease phenotypes.

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✦ Table of Contents

Preface
Contents
About the Authors
1: Introduction to Pulmonary Diseases and OMICS Approaches
1.1 Pulmonary Diseases
1.2 Types of Pulmonary Diseases
1.3 Need and Significance of Biomarkers in Pulmonary Diseases
Diagnostic Biomarkers
Monitoring Biomarkers
Prognostic Biomarkers
Risk or Susceptibility Biomarkers
Pharmacodynamic or Drug Response Biomarkers
Predictive Biomarkers
1.4 Omics Approaches as Tools for Identification of Biomarkers for Pulmonary Diseases
1.5 Types of Omics Approaches
Genomics
Epigenomics
Transcriptomics
Proteomics
Metabolomics
Exposomics
Metagenomics
Radiomics
Bioinformatics
Integrative Omics
1.6 Different Biological Samples Explored by Omics Approaches for Discovery of Biomarkers for Pulmonary Diseases
Blood
Sputum
Exhaled Breath
Urine
Broncho Alveolar Lavage Fluid (BALF)
Bronchial Tissue Biopsies
1.7 Conclusion
References
2: Obstructive Airway Diseases
2.1 Introduction
2.2 Clinical Features
2.3 Different Types of Obstructive Pulmonary Diseases
2.4 Diagnosis of Obstructive Pulmonary Diseases
Pulmonary Function Tests (PFTs)
6-min Walk Test & 2-Chair Test
Imaging Techniques
2.5 Treatment of Obstructive Pulmonary Diseases
2.6 Dissecting Different Dimensions of Obstructive Pulmonary Diseases: A Step Toward Precision Medicine
2.7 Conclusion
References
3: Chronic Obstructive Pulmonary Disease (COPD)
3.1 Introduction
3.2 Clinical Features
3.3 Biomarkers of COPD
3.4 Genomics
3.5 Epigenomics
3.6 Transcriptomics
3.7 Proteomics
3.8 Metabolomics
3.9 Metagenomics
3.10 Medical Imaging or Radiomics
3.11 Bioinformatics
3.12 Multi-Omics and Data Integration
3.13 Current Applications
3.14 Future Perspectives
References
4: Asthma
4.1 Introduction
4.2 Clinical Features
Classification of Asthma
4.3 Biomarkers of Asthma
4.4 Genomics
4.5 Epigenomics
4.6 Transcriptomics
4.7 Proteomics
4.8 Metabolomics
4.9 Metagenomics
4.10 Exposomics
4.11 Bioinformatics
4.12 Medical Imaging
4.13 Multi-omics and Data Integration
4.14 Current Applications
4.15 Future Perspectives
References
5: Bronchiectasis
5.1 Introduction
5.2 Pathobiology
5.3 Clinical Features and Diagnosis
5.4 Biomarkers of Bronchiectasis
5.5 Genomics
5.6 Transcriptomics
5.7 Proteomics
5.8 Metabolomics
5.9 Metagenomics
5.10 Bioinformatics
5.11 Medical Imaging or Radiomics
5.12 Multi-Omics and Data Integration
5.13 Present Therapeutic Strategies
5.14 Future Perspectives
References
6: Restrictive Pulmonary Diseases
6.1 Introduction
6.2 Clinical Features
6.3 Aetiology and Pathogenesis
6.4 Different Types of Restrictive Pulmonary Diseases
6.5 Diagnosis of Restrictive Pulmonary Diseases
6.6 Treatment of Restrictive Pulmonary Diseases
6.7 Manifold Challenges Related to Restrictive Pulmonary Diseases
6.8 Conclusion
References
7: Idiopathic Pulmonary Fibrosis
7.1 Introduction
7.2 Pathophysiology
7.3 Biomarkers of IPF
7.4 Genomics
7.5 Epigenomics
7.6 Transcriptomics
7.7 Proteomics
7.8 Metabolomics
7.9 Metagenomics
7.10 Medical Imaging or Radiomics
7.11 Bioinformatics
7.12 Multi-Omics and Data Integration
7.13 Current Applications
7.14 Future Perspectives
References
8: Sarcoidosis
8.1 Introduction
8.2 Etiopathology
8.3 Clinical Features
8.4 Biomarkers of Pulmonary Sarcoidosis
8.5 Genomics
8.6 Epigenomics
8.7 Transcriptomics
8.8 Proteomics
8.9 Metabolomics
8.10 Metagenomics
8.11 Bioinformatics
8.12 Medical Imaging or Radiomics
8.13 Multi-Omics and Data Integration
8.14 Current Applications
8.15 Future Perspectives
References
9: Pulmonary Vascular Diseases
9.1 Introduction
9.2 Aetiology and Clinical features
9.3 Different Pulmonary Vascular Diseases
9.4 Diagnosis of Pulmonary Vascular Diseases
9.5 Treatment of Pulmonary Vascular Diseases
9.6 Challenges and Future Research Avenues for Pulmonary Vascular Diseases
9.7 Conclusion
References
10: Pulmonary Hypertension
10.1 Introduction
10.2 Etiopathology
10.3 Clinical Features
10.4 Biomarkers of Pulmonary Hypertension
10.5 Genomics
10.6 Epigenomics
10.7 Transcriptomics
10.8 Proteomics
10.9 Metabolomics
10.10 Metagenomics
10.11 Bioinformatics
10.12 Medical Imaging or Radiomics
10.13 Multi-Omics and Data Integration
10.14 Present Therapeutics
10.15 Future Perspectives
References
11: Infectious Pulmonary Diseases
11.1 Introduction
11.2 Different Types of Infectious Pulmonary Diseases
11.3 Clinical Features and Symptoms
11.4 Diagnosis of Infectious Pulmonary Diseases
11.5 Treatment of Infectious Pulmonary Diseases
11.6 Challenges and Future Research Avenues for Infectious Pulmonary Diseases
References
12: Tuberculosis
12.1 Introduction
12.2 Etiopathology
12.3 Clinical Features
12.4 Biomarkers of Tuberculosis
12.5 Genomics
12.6 Epigenomics
12.7 Transcriptomics
12.8 Proteomics
12.9 Metabolomics
12.10 Metagenomics
12.11 Bioinformatics
12.12 Medical Imaging or Radiomics
12.13 Multi-omics and Data Integration
12.14 Present Therapeutics
12.15 Future Perspectives
References
13: COVID-19
13.1 Introduction
13.2 Pathogenesis
13.3 Clinical Features and Diagnosis
13.4 Significance of Multi-omics and Biomarkers for COVID-19
13.5 Genomics
13.6 Epigenomics
13.7 Transcriptomics
13.8 Proteomics
13.9 Metabolomics
13.10 Metagenomics
13.11 Bioinformatics
13.12 Medical Imaging or Radiomics
13.13 Multi-omics and Data Integration
13.14 Present Therapeutics
13.15 Future Perspectives
References
14: Pneumonia
14.1 Introduction
14.2 Classification of Pneumonia
14.3 Pathogenesis
14.4 Clinical Features and Diagnosis
14.5 Biomarkers of Pneumonia
14.6 Genomics
14.7 Epigenomics
14.8 Transcriptomics
14.9 Proteomics
14.10 Metabolomics
14.11 Metagenomics
14.12 Bioinformatics
14.13 Medical Imaging or Radiomics
14.14 Multi-omics and Data Integration
14.15 Present Therapeutics
14.16 Future Perspectives
References
15: Lung Cancer
15.1 Introduction
15.2 Major Subtypes and Stages of Lung Cancer
15.3 Clinical Features and Diagnosis
15.4 Biomarkers of Lung Cancer
15.5 Genomics
15.6 Epigenomics
15.7 Transcriptomics
15.8 Proteomics
15.9 Metabolomics
15.10 Metagenomics
15.11 Bioinformatics
15.12 Medical Imaging or Radiomics
15.13 Multi-omics and Data Integration
15.14 Present Therapeutics
15.15 Future Perspectives
References