The Microbiome in Health and Disease, Volume 171 in the Progress in Molecular Biology and Translational Science series, provides the most topical, informative and exciting monographs available on a wide variety of research topics. The series includes in-depth knowledge on the molecular biological aspects of organismal physiology, with this release including chapters on Microbiome in health and disease, CNS development and microbiome in infants, A gut feeling in ALS, Microbiome (Virome) and virus infection, Bugs and Drugs: microbiome in medicine metabolism, Immunity, T cells, and microbiome, Salmonella (Bacterial) infection and cancer: of mice and men, and many other highly researched topics.
1. Cover image - p. page_i 2. Title page - p. page_i 3. Table of Contents - p. page_i 4. Copyright - p. page_iv 5. Contributors - p. page_xi 6. Preface - p. page_xv 7. Chapter One: The infant microbiome and implications for central nervous system development - p. page_xvi 8. Chapter Two: Microbiota in viral infection and disease in humans and farm animals - p. page_13 9. Chapter Three: Gut microbiota in reductive drug metabolism - p. page_60 10. Chapter Four: Relationship between T cells and microbiota in health and disease - p. page_93 11. Chapter Five: Oral and intestinal bacterial exotoxins: Potential linked to carcinogenesis - p. page_129 12. Chapter Six: Mucosa microbiome of gastric lesions: Fungi and bacteria interactions - p. page_193 13. Chapter Seven: Microbiota derived factors as drivers of type 1 diabetes - p. page_213 14. Chapter Eight: Diet, nutrients and the microbiome - p. page_235 15. Chapter Nine: Interactions of probiotics and prebiotics with the gut microbiota - p. page_263 16. Chapter Ten: Microbiome and cancer treatment: Are we ready to apply in clinics? - p. page_300 17. Chapter Eleven: Correlation and association analyses in microbiome study integrating multiomics in health and disease - p. page_308 18. Abstract - p. page_310 19. 1 Microbiome is dynamically associated with environment, host factors, and other omics—Framework of association analysis in microbiome research - p. page_312 20. 2 Dependence and co-occurrence—Implications of correlation and association - p. page_314 21. 3 Unique characteristics and statistical issues of microbiome and omics data - p. page_321 22. 4 Classic univariate correlation and association-based methods—Detecting correlation and association within and between omics datasets - p. page_328 23. 5 Newly developed univariate correlation and association-based methods—Targeting the specific characteristics of microbiome data - p. page_340 24. 6 Interaction analysis in microbiome and multiomics - p. page_350 25. 7 Multivariate correlation and association-based methods—Exploratory, interpretive, and discriminatory analyses and classification - p. page_360 26. 8 Hypothesis testing of univariate and multivariate regression-based association methods - p. page_396 27. 9 Phylogenetic tree-based association analysis - p. page_423 28. 10 Microbiome-based association test for survival outcomes - p. page_426 29. 11 Longitudinal analysis of microbiome and omics data - p. page_428 30. 12 Features and trends of correlation and association analyses in microbiome and omics - p. page_441 31. 13 Further discussion regarding association analysis in microbiome and integrating multiomics studies - p. page_445 32. 14 Closing comments - p. page_448 33. Index - p. page_493
The Microbiome in Health and Disease, Volume 171 in the Progress in Molecular Biology and Translational Science series, provides the most topical, informative and exciting monographs available on a wide variety of research topics. The series includes in-depth knowledge on the molecular biological aspects of organismal physiology, with this release including chapters on Microbiome in health and disease, CNS development and microbiome in infants, A gut feeling in ALS, Microbiome (Virome) and virus infection, Bugs and Drugs: microbiome in medicine metabolism, Immunity, T cells, and microbiome, Salmonella (Bacterial) infection and cancer: of mice and men, and many other highly researched topics.
1. Cover image - p. page_i 2. Title page - p. page_i 3. Table of Contents - p. page_i 4. Copyright - p. page_iv 5. Contributors - p. page_xi 6. Preface - p. page_xv 7. Chapter One: The infant microbiome and implications for central nervous system development - p. page_xvi 8. Chapter Two: Microbiota in viral infection and disease in humans and farm animals - p. page_13 9. Chapter Three: Gut microbiota in reductive drug metabolism - p. page_60 10. Chapter Four: Relationship between T cells and microbiota in health and disease - p. page_93 11. Chapter Five: Oral and intestinal bacterial exotoxins: Potential linked to carcinogenesis - p. page_129 12. Chapter Six: Mucosa microbiome of gastric lesions: Fungi and bacteria interactions - p. page_193 13. Chapter Seven: Microbiota derived factors as drivers of type 1 diabetes - p. page_213 14. Chapter Eight: Diet, nutrients and the microbiome - p. page_235 15. Chapter Nine: Interactions of probiotics and prebiotics with the gut microbiota - p. page_263 16. Chapter Ten: Microbiome and cancer treatment: Are we ready to apply in clinics? - p. page_300 17. Chapter Eleven: Correlation and association analyses in microbiome study integrating multiomics in health and disease - p. page_308 18. Abstract - p. page_310 19. 1 Microbiome is dynamically associated with environment, host factors, and other omics—Framework of association analysis in microbiome research - p. page_312 20. 2 Dependence and co-occurrence—Implications of correlation and association - p. page_314 21. 3 Unique characteristics and statistical issues of microbiome and omics data - p. page_321 22. 4 Classic univariate correlation and association-based methods—Detecting correlation and association within and between omics datasets - p. page_328 23. 5 Newly developed univariate correlation and association-based methods—Targeting the specific characteristics of microbiome data - p. page_340 24. 6 Interaction analysis in microbiome and multiomics - p. page_350 25. 7 Multivariate correlation and association-based methods—Exploratory, interpretive, and discriminatory analyses and classification - p. page_360 26. 8 Hypothesis testing of univariate and multivariate regression-based association methods - p. page_396 27. 9 Phylogenetic tree-based association analysis - p. page_423 28. 10 Microbiome-based association test for survival outcomes - p. page_426 29. 11 Longitudinal analysis of microbiome and omics data - p. page_428 30. 12 Features and trends of correlation and association analyses in microbiome and omics - p. page_441 31. 13 Further discussion regarding association analysis in microbiome and integrating multiomics studies - p. page_445 32. 14 Closing comments - p. page_448 33. Index - p. page_493
