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      The human gut microbiome of early onset type 1 diabetes in the TEDDY study

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          Summary

          Type 1 diabetes (T1D) is an autoimmune disease targeting pancreatic islet beta cells that incorporates genetic and environmental factors 1 , including complex genetic elements 2 , patient exposures 3 , and the gut microbiome 4 . Viral infections 5 and broader gut dysbioses 6 have been identified as potential causes or contributing factors; however, human studies have not yet identified microbial compositional or functional triggers predictive of islet autoimmunity (IA) or T1D. We analyzed 10,913 metagenomes from 783 mostly white, non-hispanic children’s stool samples collected monthly from three months of age until the clinical end point (IA or T1D) in the TEDDY (The Environmental Determinants of Diabetes in the Young) study to characterize the natural history of the early gut microbiome in connection to IA, T1D diagnosis, and other common early life events such as antibiotic treatments and probiotics. Microbiomes of control children harbored more genes related to fermentation and short chain fatty acid (SCFA) biosynthesis, but these were not consistently associated with particular taxa across geographically diverse clinical centers, suggesting that microbial factors associated with T1D are taxonomically diffuse but functionally coherent. When investigating the broader establishment and development of the infant microbiome, both taxonomic and functional profiles were dynamic and highly individualized, dominated in the first year of life by one of three largely exclusive Bifidobacterium species ( B. bifidum, B. breve, or B. longum) or by the phylum Proteobacteria. In particular, strain-specific carriage of human milk oligosaccharide utilization genes within a subset of Bifidobacterium longum was present specifically in breast-fed infants. These analyses of TEDDY gut metagenomes provide, to date, the largest and most detailed longitudinal functional profile of the developing gut microbiome in relation to IA, T1D, and other early childhood events. Together with existing evidence from human cohorts 7, 8 and T1D mouse model 9 , these data support the protective effects of SCFAs on early-onset human T1D.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Bifidobacteria and Their Role as Members of the Human Gut Microbiota

            Members of the genus Bifidobacterium are among the first microbes to colonize the human gastrointestinal tract and are believed to exert positive health benefits on their host. Due to their purported health-promoting properties, bifidobacteria have been incorporated into many functional foods as active ingredients. Bifidobacteria naturally occur in a range of ecological niches that are either directly or indirectly connected to the animal gastrointestinal tract, such as the human oral cavity, the insect gut and sewage. To be able to survive in these particular ecological niches, bifidobacteria must possess specific adaptations to be competitive. Determination of genome sequences has revealed genetic attributes that may explain bifidobacterial ecological fitness, such as metabolic abilities, evasion of the host adaptive immune system and colonization of the host through specific appendages. However, genetic modification is crucial toward fully elucidating the mechanisms by which bifidobacteria exert their adaptive abilities and beneficial properties. In this review we provide an up to date summary of the general features of bifidobacteria, whilst paying particular attention to the metabolic abilities of this species. We also describe methods that have allowed successful genetic manipulation of bifidobacteria.
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              The genome sequence of Bifidobacterium longum subsp. infantis reveals adaptations for milk utilization within the infant microbiome.

              Following birth, the breast-fed infant gastrointestinal tract is rapidly colonized by a microbial consortium often dominated by bifidobacteria. Accordingly, the complete genome sequence of Bifidobacterium longum subsp. infantis ATCC15697 reflects a competitive nutrient-utilization strategy targeting milk-borne molecules which lack a nutritive value to the neonate. Several chromosomal loci reflect potential adaptation to the infant host including a 43 kbp cluster encoding catabolic genes, extracellular solute binding proteins and permeases predicted to be active on milk oligosaccharides. An examination of in vivo metabolism has detected the hallmarks of milk oligosaccharide utilization via the central fermentative pathway using metabolomic and proteomic approaches. Finally, conservation of gene clusters in multiple isolates corroborates the genomic mechanism underlying milk utilization for this infant-associated phylotype.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                27 September 2018
                24 October 2018
                October 2018
                24 April 2019
                : 562
                : 7728
                : 589-594
                Affiliations
                [1 ]Broad Institute of MIT and Harvard, Cambridge MA, U.S.A.
                [2 ]Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston MA, U.S.A.
                [3 ]Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa FL, U.S.A.
                [4 ]Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, Malmo, Sweden
                [5 ]Pacific Northwest Diabetes Research Institute, Seattle WA, U.S.A.
                [6 ]Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora CO, U.S.A.
                [7 ]Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta GA, U.S.A.
                [8 ]Department of Pediatrics, Turku University Hospital, Turku, Finland
                [9 ]Department of Physiology, Institute of Biomedicine, University of Turku, Turku, Finland
                [10 ]Institute of Diabetes Research, Helmholtz Zentrum München, and Klinikum rechts der Isar, Technische Universität München, and Forschergruppe Diabetes e.V., Neuherberg, Germany
                [11 ]National Institute of Diabetes & Digestive & Kidney Diseases, Bethesda MD, U.S.A.
                [12 ]Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, U.S.A.
                [13 ]Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK
                [15 ]Department of Computer Science, Aalto University, Aalto Finland
                [16 ]Gastrointestinal Unit, Center for the Study of Inflammatory Bowel Disease, and Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston MA, U.S.A.
                [17 ]Center for Microbiome Informatics and Therapeutics, MIT, Cambridge MA, U.S.A.
                Author notes
                [14]

                Current address: Janssen Human Microbiome Institute, Janssen Research and Development, Cambridge MA, U.S.A.

                Author Contributions

                T.V., E.A.F. and R.S. analyzed the metagenomic sequencing data. C.J.S., N.J.A. and J.F.P. generated the metagenomic sequencing data. S.T., T.D.A. and H.V. designed and conducted bacterial growth assays. K.V., Å.L., W.A.H., M.J.R., J.-X.S., J.T., A.-G.Z., B.A., J.P.K. contributed to the study concept, design and sample acquisition. H.L., H.V., C.H. and R.J.X. served as principal investigators. T.V., E.A.F., H.V., C.H. and R.J.X drafted the manuscript. All authors discussed the results, contributed to critical revisions and approved the final manuscript. Members of the TEDDY Study Group are listed in Supplementary Information.

                Correspondence and requests for materials should be addressed to Ramnik J. Xavier ( xavier@ 123456molbio.mgh.harvard.edu ), Curtis Huttenhower ( chuttenh@ 123456hsph.harvard.edu ) or Tommi Vatanen ( vatanen@ 123456broadinstitute.org ).
                Article
                NIHMS1506068
                10.1038/s41586-018-0620-2
                6296767
                30356183
                08621edc-6a8b-47ba-85f9-f93629ad5611

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