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|a Jia, Huijue.
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|a Investigating human diseases with the microbiome :
|b metagenomics bench to bedside /
|c Huijue Jia.
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|a [S.l.] :
|b Academic Press,
|c 2022.
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|a 1 online resource
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|a text
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|a 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.
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|a 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.
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| 650 |
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|a Medical microbiology.
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| 650 |
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|a Microorganisms
|x Health aspects.
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| 650 |
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6 |
|a Microbiologie m�edicale.
|0 (CaQQLa)201-0004318
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|a Medical microbiology
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