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      Maternal consumption of artificially sweetened beverages during pregnancy is associated with infant gut microbiota and metabolic modifications and increased infant body mass index

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          ABSTRACT

          Artificial sweetener consumption by pregnant women has been associated with an increased risk of infant obesity, but the underlying mechanisms are unknown. We aimed to determine if maternal consumption of artificially sweetened beverages (ASB) during pregnancy is associated with modifications of infant gut bacterial community composition and function during the first year of life, and whether these alterations are linked with infant body mass index (BMI) at one year of age. We studied 100 infants from the prospective Canadian CHILD Cohort Study, selected based on maternal ASB consumption during pregnancy (50 non-consumers and 50 daily consumers). BMI was higher among ASB-exposed infants. Infant stool (16S rRNA gene sequencing) and urine (untargeted metabolomics) were acquired in early (3–4 months) and late (12 months) infancy. We identified four microbiome clusters, of which two recapitulated the maturation trajectory of the infant gut bacterial communities from immature (Cluster 1) to mature (Cluster 4) and two deviated from this trajectory (Clusters 2 and 3). Maternal ASB consumption did not differ between clusters, but was associated with community-level shifts in infant gut bacterial taxonomy structure and depletion of several Bacteroides sp. in Cluster 2. In the complete dataset, urine succinate and spermidine levels at 3 months were higher in ASB-exposed infants, and urine succinate was positively associated with BMI at one-year-old. Overall, gestational exposure to ASB was associated with gut microbiota structure in infants from Cluster 2, and gut microbiota structure was associated with infant BMI. Gestational exposure to ASB was positively associated with infant urine succinate and spermidine. Succinate was found to mediate 29% of the effect of ASB exposure on BMI at one-year-old, revealing a potential role of this metabolite in increased infant weight linked to gestational ASB consumption. As we face an unprecedented rise in childhood obesity, future studies should evaluate the causal relationships between maternal ASB consumption (a modifiable exposure), gut microbiota and metabolites, infant metabolism, and body composition.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            Differential expression analysis for sequence count data

            High-throughput sequencing assays such as RNA-Seq, ChIP-Seq or barcode counting provide quantitative readouts in the form of count data. To infer differential signal in such data correctly and with good statistical power, estimation of data variability throughout the dynamic range and a suitable error model are required. We propose a method based on the negative binomial distribution, with variance and mean linked by local regression and present an implementation, DESeq, as an R/Bioconductor package.
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              Structure, Function and Diversity of the Healthy Human Microbiome

              Studies of the human microbiome have revealed that even healthy individuals differ remarkably in the microbes that occupy habitats such as the gut, skin, and vagina. Much of this diversity remains unexplained, although diet, environment, host genetics, and early microbial exposure have all been implicated. Accordingly, to characterize the ecology of human-associated microbial communities, the Human Microbiome Project has analyzed the largest cohort and set of distinct, clinically relevant body habitats to date. We found the diversity and abundance of each habitat’s signature microbes to vary widely even among healthy subjects, with strong niche specialization both within and among individuals. The project encountered an estimated 81–99% of the genera, enzyme families, and community configurations occupied by the healthy Western microbiome. Metagenomic carriage of metabolic pathways was stable among individuals despite variation in community structure, and ethnic/racial background proved to be one of the strongest associations of both pathways and microbes with clinical metadata. These results thus delineate the range of structural and functional configurations normal in the microbial communities of a healthy population, enabling future characterization of the epidemiology, ecology, and translational applications of the human microbiome.
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                Author and article information

                Journal
                Gut Microbes
                Gut Microbes
                Gut Microbes
                Taylor & Francis
                1949-0976
                1949-0984
                31 December 2020
                2021
                31 December 2020
                : 13
                : 1
                : 1-15
                Affiliations
                [a ]Physiology and Pharmacology, University of Calgary; , Calgary, Alberta, Canada
                [b ]Pediatrics, University of Calgary; , Calgary, Alberta, Canada
                [c ]Biologie, Université De Sherbrooke; , Sherbrooke, Québec, Canada
                [d ]Alberta Children’s Hospital Research Institute (ACHRI); , Calgary, Alberta, Canada
                [e ]Snyder Institute for Chronic Diseases, University of Calgary; , Calgary, Alberta, Canada
                [f ]Pediatrics and Child Health, University of Manitoba; , Winnipeg, Manitoba, Canada
                [g ]Pediatrics, University of Alberta; , Edmonton, Alberta, Canada
                [h ]British Columbia Children’s Hospital, The University of British Columbia; , Vancouver, British Columbia, Canada
                [i ]Hospital for Sick Children; , Toronto, Ontario, Canada
                [j ]Pediatrics, University of Toronto; , Toronto, Ontario, Canada
                [k ]Medicine, McMaster University; , Hamilton, Ontario, Canada
                [l ]Microbiology, Immunology, and Infectious Diseases, University of Calgary; , Calgary, Alberta, Canada
                Author notes
                CONTACT Marie-Claire Arrieta marie.arrieta@ 123456ucalgary.ca .
                Meghan Azad Meghan.Azad@ 123456umanitoba.ca , University of Calgary, Health Research Innovation Centre, 3330 Hospital Drive N.W., Calgary, Alberta, Canada T2N 4N1
                Author information
                https://orcid.org/0000-0003-3630-9475
                https://orcid.org/0000-0002-4707-8177
                https://orcid.org/0000-0003-3682-9120
                https://orcid.org/0000-0003-1599-1065
                https://orcid.org/0000-0001-9968-6601
                https://orcid.org/0000-0003-0394-1933
                https://orcid.org/0000-0002-2011-6305
                https://orcid.org/0000-0002-5942-4444
                Article
                1857513
                10.1080/19490976.2020.1857513
                7781635
                33382954
                b40953b0-2cfd-4ed7-9ea9-a3be8c0aed21
                © 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 4, Tables: 3, References: 62, Pages: 15
                Categories
                Research Article
                Research Paper

                Microbiology & Virology
                gut microbiota,16s rrna,metabolomics,artificial sweeteners,genomics,obesity,gestational exposure,breastfeeding,bmi,child cohort

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