Gut Microbiome Metagenomics Analysis Suggests a Functional Model for the Development of Autoimmunity for Type 1 Diabetes - Brown, Christopher T.; Davis-Richardson, Austin G.; Giongo, Adriana; Gano, Kelsey A.; Crabb, David B.; Mukherjee, Nabanita; Casella, George; Drew, Jennifer C.; Ilonen, Jorma; Knip, Mikael; Hyöty, Heikki; Veijola, Riitta; et al. (PloS one, 2011)
Keywords: Aberration; Aerobic respiration; Amino acids; Autoantibodies; Autoimmune diseases; Autoimmunity; Autoimmunity - genetics; Bacteria; Bacteroidetes; Biochemistry; Biodegradation; Biology; Bowel disease; Butyrates - metabolism; Carbohydrate metabolism; Carbohydrates; Case-Control Studies; Colon; Comparative analysis; Consortia; Crohn's disease; Crohns disease; Data mining; Data processing; Databases, Nucleic Acid; Deoxyribonucleic acid; Diabetes; Diabetes mellitus; Diabetes Mellitus, Type 1 - etiology; Diabetes Mellitus, Type 1 - immunology; Digestive system; DNA; Fatty acids; Fatty Acids, Volatile - biosynthesis; Firmicutes; Flagella; Gastrointestinal Tract - microbiology; Genes; Hospitals; Humans; Immunology; Intestinal microflora; Kinases; Laboratories; Lactic acid; Lactobacillus; Medicine; Metabolism; Metagenome - genetics; Metagenomics - methods; Microbiota; Mucin; Mucins - metabolism; Open reading frames; Pediatrics; Phages; Physiological aspects; Physiology; Prophages; Protein metabolism; Protein turnover; RNA; RNA, Ribosomal, 16S; Rodents; rRNA 16S; Science; Small intestine; Statistical analysis; Statistical methods; Sulfur; Synthesis; Type 1 diabetes; Florida; United States--US