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      New Insights on Obesity and Diabetes from Gut Microbiome Alterations in Egyptian Adults

      1 , 2 , 3 , 2
      OMICS: A Journal of Integrative Biology
      Mary Ann Liebert Inc

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          Abstract

          <p class="first" id="d6308315e91">Obesity and diabetes are reaching epidemic levels globally. Metagenomics and microbiome science have recently emerged as new tools for studying common complex human diseases. We report in this study notable differences in gut microbiome in adult patients with obesity and diabetes in Egypt. The experimental design was based on comparisons of four study groups: (1) Controls (C) with a normal body mass index, without obesity or diabetes, (2) Obese adults (O) without diabetes, (3) adults with diabetes (D) who are not obese, and (4) Adults who are both obese and diabetic (OD). In a total study sample of 60 participants, we sequenced the 16S ribosomal RNA (rRNA) gene using the Illumina MiSeq platform. Alpha diversity analysis revealed greater diversity in bacterial communities of (D) than controls. Phylum-level analysis identified a trend for overrepresentation of Bacteroidetes (p &lt; 0.07) in (O) and (D) than controls. The ratio of Firmicutes/Bacteroidetes (F/B) displayed a remarkable increase in (OD) than controls. At genus level, Faecalibacterium (p &lt; 0.05) and Akkermansia (p &lt; 0.001) distinguished (O) from controls, while Fusobacterium (p &lt; 0.001) and Bacteroides (p &lt; 0.001) was significantly more abundant in (OD) compared with D. Surprisingly, isoquinoline, quinone and ubiquinone alkaloid biosynthesis were overrepresented in controls compared with other three study groups. Presumably, the latter observation might potentially suggest an antihyperglycemic activity of the gut microbiota. In conclusion, the health state of the adults in our study defined the composition of the gut microbiota. Moreover, obesity and diabetes were associated with remarkably enriched populations of Firmicutes and Bacteroidetes. The abundance of Fusobacterium is worth further research and exploration as a candidate biomarker for prediabetes especially in obese individuals. The potential antihyperglycemic activity of the gut microbiota is also noteworthy for future studies in other world populations. </p>

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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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            QIIME allows analysis of high-throughput community sequencing data.

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              Metagenomic biomarker discovery and explanation

              This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
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                Author and article information

                Journal
                OMICS: A Journal of Integrative Biology
                OMICS: A Journal of Integrative Biology
                Mary Ann Liebert Inc
                1557-8100
                October 01 2019
                October 01 2019
                : 23
                : 10
                : 477-485
                Affiliations
                [1 ]Department of Microbiology and Immunology, Faculty of Pharmacy, Port Said University, Port Said, Egypt.
                [2 ]Department of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt.
                [3 ]Department of Internal Medicine, Faculty of Medicine, Al-Azhar University, Cairo, Egypt.
                Article
                10.1089/omi.2019.0063
                31589561
                701a5a86-ca85-4068-9f07-57e67728e826
                © 2019

                https://www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/

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