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Investigating human diseases with the microbiome : metagenomics bench to bedside /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Jia, Huijue
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [S.l.] : Academic Press, 2022.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Investigating Human Diseases with the Microbiome: Metagenomics Bench to Bedside
  • Copyright
  • Contents
  • Acknowledgment
  • Chapter 1 The supraorganism
  • 1.1 New discoveries with new technology- A historical account
  • 1.2 How many microbial cells can a human body have?
  • 1.3 Viral particles in the human body
  • 1.4 Microbiome in other species
  • 1.5 Microbiome from ancient times
  • 1.6 Summary
  • References
  • Chapter 2 Microbiota
  • 2.1 Trophic levels in macroecology
  • 2.2 Microbiome stability, diversity, and richness
  • 2.3 De novo assembly of microbiota and robustness against invasions
  • 2.4 Types of habitats for the skin microbiome
  • 2.5 Forces shaping the oral microbiome
  • 2.6 A stable gut microbiome
  • 2.6.1 Adhesion
  • 2.6.2 Peristalsis
  • 2.7 "Enterotypes" and the Serengeti rules?
  • 2.8 Summary
  • References
  • Chapter 3 Collecting samples for metagenomics
  • 3.1 Nonmicrobial components in the sample that could influence DNA extraction and sequencing amount
  • 3.2 Beware of contamination in each step, from stools to low-biomass samples
  • 3.3 Reagents that prevent microbial growth after sampling
  • 3.4 DNA extraction for metagenomic samples
  • 3.5 Sequencing amount
  • 3.6 Taxonomic and functional profiles, absolute abundance
  • 3.7 Sample size for metagenome-wide association studies
  • 3.8 Summary
  • References
  • Chapter 4 Epidemiology in the human body
  • 4.1 Analogy to COVID-19
  • 4.2 Sources of potential pathogens in the infant gut
  • 4.3 Ectopic presence of commensal microbes
  • 4.4 Get to where it matters for the disease
  • 4.4.1 Rheumatoid arthritis
  • 4.4.2 Cardiometabolic diseases
  • 4.5 Interkingdom interactions in the microbiome in diseases
  • 4.6 Other omics data that hint at a difference in microbiome
  • 4.7 Summary
  • References
  • Chapter 5 The evolving microbial taxonomy.
  • 5.1 Approaching a closed reference set for routine applications
  • 5.2 Sparser data with increasing taxonomic resolution
  • 5.3 Evolutionary history below the species level
  • 5.4 Whole-cell modeling to predict functional differences from genomic differences?
  • 5.5 Summary
  • References
  • Chapter 6 Blurring the line between opportunistic pathogens and commensals
  • 6.1 Causal reasoning 101
  • 6.2 Levels of existing evidence for the human microbiome and diseases
  • 6.3 From microbes to molecules
  • 6.3.1 Multiple effective molecules from Akkermansia muciniphila
  • 6.3.2 Branched chain amino acids for muscles and diabetes
  • 6.3.3 Molecular mimicry of autoantigens
  • 6.3.4 Other examples, outer membrane vesicles, phages
  • 6.4 Summary
  • References
  • Chapter 7 Metagenomics from bench to bedside and from bedside to bench
  • 7.1 Metagenomics for decision-making in diagnosis and treatment
  • 7.1.1 Metagenomics for disease screening
  • 7.1.2 Metagenomics for personalized treatment
  • 7.2 Further research to be inspired by clinical practice
  • 7.3 Potential to modify existing categorization of diseases with knowledge of the microbiome
  • 7.4 Summary
  • References
  • Chapter 8 A microbiome record for life
  • 8.1 Proactive sampling of the microbiome at important time periods
  • 8.1.1 A microbiome record from birth
  • 8.1.2 Immediate and historical events for a wholesome microbiome
  • 8.2 From genetic risk to the prevention of diseases
  • 8.3 Summary
  • References
  • Index.