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      Maternal low-calorie sweetener consumption rewires hypothalamic melanocortin circuits via a gut microbial co-metabolite pathway

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          Abstract

          The prevalence of obesity and type 2 diabetes is growing at an alarming rate, including among pregnant women. Low-calorie sweeteners (LCSs) have increasingly been used as an alternative to sugar to deliver a sweet taste without the excessive caloric load. However, there is little evidence regarding their biological effects, particularly during development. Here, we used a mouse model of maternal LCS consumption to explore the impact of perinatal LCS exposure on the development of neural systems involved in metabolic regulation. We report that adult male, but not female, offspring from both aspartame- and rebaudioside A–exposed dams displayed increased adiposity and developed glucose intolerance. Moreover, maternal LCS consumption reorganized hypothalamic melanocortin circuits and disrupted parasympathetic innervation of pancreatic islets in male offspring. We then identified phenylacetylglycine (PAG) as a unique metabolite that was upregulated in the milk of LCS-fed dams and the serum of their pups. Furthermore, maternal PAG treatment recapitulated some of the key metabolic and neurodevelopmental abnormalities associated with maternal LCS consumption. Together, our data indicate that maternal LCS consumption has enduring consequences on the offspring’s metabolism and neural development and that these effects are likely to be mediated through the gut microbial co-metabolite PAG.

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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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            The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

            SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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              Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies

              16S ribosomal RNA gene (rDNA) amplicon analysis remains the standard approach for the cultivation-independent investigation of microbial diversity. The accuracy of these analyses depends strongly on the choice of primers. The overall coverage and phylum spectrum of 175 primers and 512 primer pairs were evaluated in silico with respect to the SILVA 16S/18S rDNA non-redundant reference dataset (SSURef 108 NR). Based on this evaluation a selection of ‘best available’ primer pairs for Bacteria and Archaea for three amplicon size classes (100–400, 400–1000, ≥1000 bp) is provided. The most promising bacterial primer pair (S-D-Bact-0341-b-S-17/S-D-Bact-0785-a-A-21), with an amplicon size of 464 bp, was experimentally evaluated by comparing the taxonomic distribution of the 16S rDNA amplicons with 16S rDNA fragments from directly sequenced metagenomes. The results of this study may be used as a guideline for selecting primer pairs with the best overall coverage and phylum spectrum for specific applications, therefore reducing the bias in PCR-based microbial diversity studies.
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                Author and article information

                Contributors
                Journal
                JCI Insight
                JCI Insight
                JCI Insight
                JCI Insight
                American Society for Clinical Investigation
                2379-3708
                22 May 2023
                22 May 2023
                22 May 2023
                : 8
                : 10
                : e156397
                Affiliations
                [1 ]The Saban Research Institute, Developmental Neuroscience Program, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, California, USA.
                [2 ]University Lille, Inserm, CHU Lille, Laboratory of development and plasticity of the Neuroendocrine brain, Lille Neuroscience & Cognition, Inserm UMR-S1172, Lille, France.
                [3 ]Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France.
                [4 ]Department of Biological Chemistry, School of Medicine, University of California at Irvine, Irvine, California, USA.
                [5 ]Metabolomics Core Facility, Max Planck Institute for Biology of Ageing, Cologne, Germany.
                [6 ]Department of Bioinformatics and Genomics, College of Computing and Informatics, University of North Carolina Charlotte, Charlotte, North Carolina, USA.
                [7 ]Center for Endocrinology, Diabetes and Metabolism, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, California, USA.
                Author notes
                Address correspondence to: Soyoung Park, Eli Lilly and Company, 215 1st St., Cambridge, Massachusetts 02142, USA. Phone: 857.259.9904; Email: park_soyoung@ 123456lilly.com . Or to: Sebastien G. Bouret, INSERM UMR-S 1172, 1 place de Verdun, 59000 Lille, France. Phone: 33.3.5950.7551; Email: sebastien.bouret@ 123456inserm.fr .

                Authorship note: SP and AMB contributed equally to this work.

                Author information
                http://orcid.org/0000-0001-8129-9064
                http://orcid.org/0000-0003-1233-5580
                http://orcid.org/0000-0002-4499-978X
                http://orcid.org/0000-0002-6916-4201
                http://orcid.org/0000-0001-5848-7972
                http://orcid.org/0000-0001-7213-4145
                http://orcid.org/0000-0002-6897-6961
                Article
                156397
                10.1172/jci.insight.156397
                10322686
                37014702
                8f2c305d-ba10-44ef-8720-bdbe16f2028d
                © 2023 Park et al.

                This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 November 2021
                : 31 March 2023
                Funding
                Funded by: American Association for the Study of Liver Diseases
                Award ID: AASLDF 50028
                Funded by: Edward Mallinckrodt Jr. Foundation Award
                Award ID: NA
                Funded by: Agence Nationale de la Recherche, https://doi.org/10.13039/501100001665;
                Award ID: ANR-22-CE16-0007
                Funded by: Fédération pour la Recherche sur le Cerveau, https://doi.org/10.13039/501100006424;
                Award ID: to SGB
                Categories
                Research Article

                metabolism,neuroscience,imprinting,melanocortin,neuroendocrine regulation

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