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      Intergenerational transfer of antibiotic-perturbed microbiota enhances colitis in susceptible mice

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          Abstract

          Antibiotic exposure in children has been associated with the risk of Inflammatory Bowel Disease (IBD). Since antibiotic use in children or in their pregnant mother can affect how the intestinal microbiome develops, we asked whether the transfer of an antibiotic-perturbed microbiota from mothers to their children could affect their risk of developing IBD. Here we demonstrate that germ-free adult pregnant mice inoculated with a gut microbial community shaped by antibiotic exposure transmitted their perturbed microbiota to their offspring with high fidelity. Without any direct or continued exposure to antibiotics, this dysbiotic microbiota in the offspring remained distinct from controls for at least 21 weeks. By using both IL-10-deficient and wild type mothers, we showed that both inoculum and genotype shape the microbiota populations in the offspring. Since IL10−/− mice are genetically susceptible to colitis, we could assess the risk due to maternal transmission of an antibiotic-perturbed microbiota. We found that the IL10−/− offspring that had received the perturbed gut microbiota developed markedly increased colitis. Taken together, our findings indicate that antibiotic exposure shaping the maternal gut microbiota has effects that extend to their offspring with both ecological and long-term disease consequences.

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          Most cited references27

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          Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

          The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.
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            Immunoglobulin A coating identifies colitogenic bacteria in inflammatory bowel disease.

            Specific members of the intestinal microbiota dramatically affect inflammatory bowel disease (IBD) in mice. In humans, however, identifying bacteria that preferentially affect disease susceptibility and severity remains a major challenge. Here, we used flow-cytometry-based bacterial cell sorting and 16S sequencing to characterize taxa-specific coating of the intestinal microbiota with immunoglobulin A (IgA-SEQ) and show that high IgA coating uniquely identifies colitogenic intestinal bacteria in a mouse model of microbiota-driven colitis. We then used IgA-SEQ and extensive anaerobic culturing of fecal bacteria from IBD patients to create personalized disease-associated gut microbiota culture collections with predefined levels of IgA coating. Using these collections, we found that intestinal bacteria selected on the basis of high coating with IgA conferred dramatic susceptibility to colitis in germ-free mice. Thus, our studies suggest that IgA coating identifies inflammatory commensals that preferentially drive intestinal disease. Targeted elimination of such bacteria may reduce, reverse, or even prevent disease development. Copyright © 2014 Elsevier Inc. All rights reserved.
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              The maternal microbiota drives early postnatal innate immune development.

              Postnatal colonization of the body with microbes is assumed to be the main stimulus to postnatal immune development. By transiently colonizing pregnant female mice, we show that the maternal microbiota shapes the immune system of the offspring. Gestational colonization increases intestinal group 3 innate lymphoid cells and F4/80(+)CD11c(+) mononuclear cells in the pups. Maternal colonization reprograms intestinal transcriptional profiles of the offspring, including increased expression of genes encoding epithelial antibacterial peptides and metabolism of microbial molecules. Some of these effects are dependent on maternal antibodies that potentially retain microbial molecules and transmit them to the offspring during pregnancy and in milk. Pups born to mothers transiently colonized in pregnancy are better able to avoid inflammatory responses to microbial molecules and penetration of intestinal microbes.
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                Author and article information

                Journal
                101674869
                44774
                Nat Microbiol
                Nat Microbiol
                Nature microbiology
                2058-5276
                10 November 2017
                27 November 2017
                February 2018
                27 May 2018
                : 3
                : 2
                : 234-242
                Affiliations
                [1 ]Department of Microbiology, NYU Langone Medical Center, New York, New York, USA, 10016
                [2 ]Department of Pathology, NYU Langone Medical Center, New York, New York, USA, 10016
                [3 ]Department of Medicine, NYU Langone Medical Center, New York, New York, USA, 10016
                [4 ]Janssen R&D, Janssen Pharmaceutical Companies of J&J, Turnhoutseweg 30, Beerse, 2340, Belgium
                [5 ]Department of Microbiology and Immunology, University of Minnesota, Minneapolis, Minnesota, USA, 55455
                [6 ]Biotechnology Institute, University of Minnesota, Minneapolis, Minnesota, USA, 55455
                [7 ]Department of Neurology, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA, 02115
                [8 ]Department of Biomedical Sciences, Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA, 01536
                [9 ]Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, USA, 55455
                [10 ]Departments of Medicine, Microbiology and Immunology, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina, USA, 27599
                [11 ]New York Harbor Veterans Affairs Medical Center, New York, New York, USA, 10010
                Author notes
                [* ]Correspondence and requests for materials should be addressed to Martin Blaser ( martin.blaser@ 123456nyumc.org )
                Article
                NIHMS918515
                10.1038/s41564-017-0075-5
                5780248
                29180726
                9c327c18-130f-4585-85a0-c80bb97d3351

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