{"dcterms:modified":"2023-12-13","dcterms:creator":"UNIMI Dataverse","@type":"ore:ResourceMap","@id":"https://dataverse.unimi.it/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.13130/RD_UNIMI/KGCL3D","ore:describes":{"subject":"Medicine, Health and Life Sciences","dateOfDeposit":"2021-01-29","citation:depositor":"Guglielmetti, Simone","title":"Replication Data for 16S rRNA gene profiling of blood samples and controls for \"Bacterial DNAemia is associated with serum zonulin levels in older subjects\"","author":{"citation:authorName":"Guglielmetti, Simone"},"citation:datasetContact":{"citation:datasetContactName":"Guglielmetti, Simone"},"publication":{"publicationCitation":"Gargari, G., Mantegazza, G., Taverniti, V. et al. Bacterial DNAemia is associated with serum zonulin levels in older subjects. Sci Rep 11, 11054 (2021).","publicationIDType":"doi","publicationIDNumber":"https://doi.org/10.1038/s41598-021-90476-0"},"citation:dsDescription":{"citation:dsDescriptionValue":"FASTQ data (R1 and R2) generated by metataxonomics of blood samples and controls. In brief, DNA extracted from whole blood and controls were used for 16S rRNA gene profiling using MiSeq Illumina technology (2 x 300 paired-end MiSeq kit V3,  set to encompass 467-bp amplicon)."},"@id":"https://doi.org/10.13130/RD_UNIMI/KGCL3D","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.1","schema:name":"Replication Data for 16S rRNA gene profiling of blood samples and controls for \"Bacterial DNAemia is associated with serum zonulin levels in older subjects\"","schema:dateModified":"2023-12-13 14:51:04.013","schema:datePublished":"2021-01-29","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"UNIMI Dataverse","schema:isPartOf":{"schema:name":"Replication Data for \"Bacterial DNAemia is associated with serum zonulin levels in older subjects\"","@id":"https://dataverse.unimi.it/dataverse/DNAemia-Zonulin","schema:description":"Related to manuscript: doi: https://doi.org/10.1101/2020.04.10.035519\n\nThe increased presence of bacteria in blood is a plausible contributing factor in the development and progression of aging-associated diseases. In this context, we performed the quantification and the taxonomic profiling of the bacterial DNA in blood samples collected from a group of forty-three older subjects enrolled in a nursing home. Quantitative PCR targeting the 16S rRNA gene revealed that all the older volunteers contained detectable amounts of bacterial DNA in their blood. The total amount of 16S rRNA gene copies varied considerably between subjects. Correlation analyses revealed that the bacterial DNAemia (expressed as concentration of 16S rRNA gene copies in blood) significantly correlated with the serum levels of zonulin, an emerging marker of intestinal permeability. This result was confirmed by the analysis of a second set of blood samples collected after approximately four months from the same subjects. Analyses of 16S rRNA gene profiling revealed that most of the bacterial DNA detected in blood was ascribable to the phylum Proteobacteria with a predominance of Pseudomonadaceae and Enterobacteriaceae. Several control samples were also analyzed to assess the influence exerted by contaminant bacterial DNA potentially originating from reagents and materials. The date reported here suggest that para-cellular permeability of epithelial (and potentially also endothelial) cell layers may play an important role in bacterial migration into the bloodstream. Bacterial DNAemia is likely to impact on several aspects of host physiology and could underpin the development and prognosis of various diseases in older subjects.","schema:isPartOf":{"schema:name":"JPI Project 'MaPLE' Dataverse","@id":"https://dataverse.unimi.it/dataverse/JPI-MaPLE","schema:description":"Gut and blood microbiomics for studying the effect of a polyphenol-rich dietary pattern on intestinal permeability in the elderly (MaPLE).\r\n\r\nWHAT: The MaPLEproject aims to test the hypothesis that an increased intake of polyphenol-rich foods  reduces IP and lowers inflammogenic bacterial factors in the bloodstream, promoting a protective metabolic phenotype in older subjects.\r\n\r\nWHO: The consortium consists of research groups from 3 countries (Italy, Spain and The United Kingdom). Patrizia Riso and Simone Guglielmetti (IT) are the coordinators.\r\n\r\nHOW: A polyphenol-rich diet versus a control diet has been tested in a randomised, controlled cross-over intervention study. Blood, urine, and faecal samples have been collected before and after each intervention period to evaluate blood bacterial and LPS loads, blood and faecal microbiota composition, short chain fatty acids and polyphenol-derived metabolites, urine metabolites, and markers of inflammation, oxidative stress and vascular function.","schema:isPartOf":{"schema:name":"Dipartimento di Scienze per gli Alimenti, la Nutrizione e l'Ambiente","@id":"https://dataverse.unimi.it/dataverse/Defens","schema:isPartOf":{"schema:name":"UNIMI Dataverse","@id":"https://dataverse.unimi.it/dataverse/unimi","schema:description":"Unimi Dataverse is a repository for research data"}}}},"ore:aggregates":[{"schema:name":"BloodSamples_and_Controls_seqs_fastq.tar.gz","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":1180,"@id":"doi:10.13130/RD_UNIMI/KGCL3D/JN936T","schema:sameAs":"https://dataverse.unimi.it/api/access/datafile/:persistentId?persistentId=doi:10.13130/RD_UNIMI/KGCL3D/JN936T","@type":"ore:AggregatedResource","schema:fileFormat":"application/x-gzip","dvcore:filesize":1327403635,"dvcore:storageIdentifier":"s3://4s-dataverse-unimi:1774e6bc8c0-e2c3f1645998","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"c9566fafa6e6db9b2d6054778b748c0a"}},{"schema:name":"List of analyzed samples.pdf","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":1180,"@id":"doi:10.13130/RD_UNIMI/KGCL3D/QBYPEO","schema:sameAs":"https://dataverse.unimi.it/api/access/datafile/:persistentId?persistentId=doi:10.13130/RD_UNIMI/KGCL3D/QBYPEO","@type":"ore:AggregatedResource","schema:fileFormat":"application/pdf","dvcore:filesize":14837,"dvcore:storageIdentifier":"s3://4s-dataverse-unimi:1774db10f37-ede1b1d263c8","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"97587fb3f102361560b7f4de0e8e9189"}}],"schema:hasPart":["doi:10.13130/RD_UNIMI/KGCL3D/JN936T","doi:10.13130/RD_UNIMI/KGCL3D/QBYPEO"]},"@context":{"author":"http://purl.org/dc/terms/creator","citation":"https://dataverse.org/schema/citation/","dateOfDeposit":"http://purl.org/dc/terms/dateSubmitted","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","ore":"http://www.openarchives.org/ore/terms/","publication":"http://purl.org/dc/terms/isReferencedBy","publicationCitation":"http://purl.org/dc/terms/bibliographicCitation","publicationIDNumber":"http://purl.org/spar/datacite/ResourceIdentifier","publicationIDType":"http://purl.org/spar/datacite/ResourceIdentifierScheme","schema":"http://schema.org/","subject":"http://purl.org/dc/terms/subject","title":"http://purl.org/dc/terms/title"}}