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Related to manuscript: doi: https://doi.org/10.1101/2020.04.10.035519 The 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.
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Jan 29, 2021
Guglielmetti, Simone, 2021, "Zonulin levels", https://doi.org/10.13130/RD_UNIMI/VG6Y5L, UNIMI Dataverse, V1, UNF:6:P/zCAJabEeqj+k14nqbDsA== [fileUNF]
Data including: list of Subjects, Sex, Age, BMI, Bacterial load (16S rRNA g.c./μl) and Zonulin level (ng/ml), for sample sets 1 and 2.
Jan 29, 2021
Guglielmetti, Simone, 2021, "16S rRNA gene profiling of blood samples and controls", https://doi.org/10.13130/RD_UNIMI/KGCL3D, UNIMI Dataverse, V1
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).
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