<?xml version="1.0" ?>
<BioSampleSet><BioSample access="public" publication_date="2023-01-03T00:00:00.000" last_update="2023-04-12T11:56:20.000" submission_date="2023-01-04T08:30:55.433" id="32560009" accession="SAMEA14083393">   <Ids>     <Id db="BioSample" is_primary="1">SAMEA14083393</Id>     <Id db="SRA">ERS11686527</Id>   </Ids>   <Description>     <Title>Metagenome-assembled genome: ERR1190926_bin.130_CONCOCT_v1.1_MAG</Title>     <Organism taxonomy_id="239935" taxonomy_name="Akkermansia muciniphila">       <OrganismName>Akkermansia muciniphila</OrganismName>     </Organism>     <Comment>       <Paragraph>This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run ERR1190926 of study ERP013563.</Paragraph>     </Comment>   </Description>   <Owner>     <Name>EBI</Name>   </Owner>   <Models>     <Model>Generic</Model>   </Models>   <Package display_name="Generic">Generic.1.0</Package>   <Attributes>     <Attribute attribute_name="ENA-CHECKLIST">ERC000047</Attribute>     <Attribute attribute_name="ENA-FIRST-PUBLIC">2023-01-03</Attribute>     <Attribute attribute_name="ENA-LAST-UPDATE">2023-01-03</Attribute>     <Attribute attribute_name="External Id">SAMEA14083393</Attribute>     <Attribute attribute_name="INSDC center alias">EBI</Attribute>     <Attribute attribute_name="INSDC center name">European Bioinformatics Institute</Attribute>     <Attribute attribute_name="INSDC first public">2023-01-03T00:33:27Z</Attribute>     <Attribute attribute_name="INSDC last update">2023-01-03T00:33:27Z</Attribute>     <Attribute attribute_name="INSDC status">public</Attribute>     <Attribute attribute_name="Submitter Id">ERR1190926_bin.130_CONCOCT_v1.1_MAG</Attribute>     <Attribute attribute_name="assembly quality">Many fragments with little to no review of assembly other than reporting of standard assembly statistics</Attribute>     <Attribute attribute_name="assembly software">spades_v3.11.1</Attribute>     <Attribute attribute_name="binning parameters">Default</Attribute>     <Attribute attribute_name="binning software">CONCOCT v1.1</Attribute>     <Attribute attribute_name="broker name">EMG broker account, EMBL-EBI</Attribute>     <Attribute attribute_name="collection date" harmonized_name="collection_date" display_name="collection date">2014-01-01</Attribute>     <Attribute attribute_name="completeness score">97.96</Attribute>     <Attribute attribute_name="completeness software">CheckM</Attribute>     <Attribute attribute_name="contamination score">0.0</Attribute>     <Attribute attribute_name="environment (biome)" harmonized_name="env_broad_scale" display_name="broad-scale environmental context">Host-associated</Attribute>     <Attribute attribute_name="environment (feature)" harmonized_name="env_local_scale" display_name="local-scale environmental context">Human</Attribute>     <Attribute attribute_name="environment (material)" harmonized_name="env_medium" display_name="environmental medium">Digestive system</Attribute>     <Attribute attribute_name="geographic location (country and/or sea)" harmonized_name="geo_loc_name" display_name="geographic location">China</Attribute>     <Attribute attribute_name="geographic location (latitude)">55.676098</Attribute>     <Attribute attribute_name="geographic location (longitude)">12.568337</Attribute>     <Attribute attribute_name="investigation type" harmonized_name="investigation_type" display_name="investigation type">metagenome-assembled genome</Attribute>     <Attribute attribute_name="isolation_source" harmonized_name="isolation_source" display_name="isolation source">human gut metagenome</Attribute>     <Attribute attribute_name="metagenomic source">human gut metagenome</Attribute>     <Attribute attribute_name="project name" harmonized_name="project_name" display_name="project name">Dysbosis of intestinal microbiota could contribute to the pathogenesis of Type 2 Diabetes. It is yet to be known whether intestinal flora could be related to differential responds to antidiabetic therapies. This study, herein for the first time, metagenomic sequenced fecal samples from a randomized clinical trial on new onset untreated Type 2 Diabetes patients applied two treatment arms, Acarbose and Glipizide (Sulfonylurea) and analyzed the differential responses of intestinal flora in different groups. Results showed substantial impact of Acarbose on gut microbiota community but minor of Glipizide. Enterotypes with similar baseline clinical characteristics, had significant different pharmacologic respond to Acarbose on insulin resistance, gut hormones, bile acids and cardiovascular risks, indicating that different pattern of intestinal microbiota component could determine different responses of Type 2 Diabetes to antidiabetic pharmacological therapies.</Attribute>     <Attribute attribute_name="sample derived from">SAMEA3708852</Attribute>     <Attribute attribute_name="sample name" harmonized_name="sample_name" display_name="sample name">ERR1190926_bin.130_CONCOCT_v1.1_MAG</Attribute>     <Attribute attribute_name="scientific_name">Akkermansia muciniphila</Attribute>     <Attribute attribute_name="sequencing method">Illumina HiSeq 2500</Attribute>     <Attribute attribute_name="taxonomic identity marker">multi-marker approach</Attribute>   </Attributes>   <Status status="live" when="2023-01-05T08:28:57.743"/> </BioSample> </BioSampleSet>
