图书简介
This book provides an overview of bidirectional communication between gut-microbiome-brain, pathways, nutrients, and metabolites that are involved in microbiota gut-brain axis (MGBA) interactions. Further it reviews the relevance of this axis in the neurological disorders and potential therapeutic interventions, involving gut microbiome or probiotics and prebiotics which can ameliorate the neurological disorders. The book examines the role of gut microbiota in the establishment and hemostasis of innate immune response and explores the possibility of development of microbiome-targeted therapeutic interventions. Notably, the book discusses the role of the gut microbiota and immune system on the maintenance of brain functions and the development of neurological disorders. It also highlights the recent advances in improving neurological diseases by phytochemicals, prebiotics and probiotics. This book is useful for researchers working in neuropharmacology, Clinical Research, toxicology, neurodegeneration, and stroke biology.
Gut Microbiome Brain Axis: An Introduction.- Cross talk between gut microbiota and host immune cells.- Microbiota-Gut-Brain Axis and Neurodegenerative Disorder.- Gut Microbiota Regulation of Cerebral Stroke.- Aging: Impact of Gut Microbiota.- Gut Microbiome Regulation of Appetite and Neurological Disorders.- Human diets, Gut microbiome and Neuroinflammation.- Dietary Fatty acids, Gut microbiome and Gut-Brain communication: A Current perspective.- Role of Short Chain Fatty Acids from Gut Microbiota in Neuroendocrine Pathogenesis Management.- Potential role of probiotics on gut microbiota in neurological disease.- Reversal of metabolic disorder through the restoration of gut microbiota.- Gut Microbiome and Diet: Promising Approach for Treatment of Cognitive Impairment.- Nanoplastics, Gut microbiota and Neurodegeneration.- Gut Microbiome, COVID-19, and Neurological Impairment.- Tools to study Gut Microbiome.- Germ-Free Mice Technology: opportunity for Future Research.- Gut Microbiome and Neurodegeneration: A Bioinformatics Approach.
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