2017
DOI: 10.1371/journal.pone.0184955
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Immune-modulatory genomic properties differentiate gut microbiota of infants with and without eczema

Abstract: Gut microbiota play an important role in human immunological processes, potentially affecting allergic diseases such as eczema. The diversity and structure of gut microbiota in infants with eczema have been previously documented. This study aims to evaluate by comparative metagenomics differences in genetic content in gut microbiota of infants with eczema and their matched controls. Stools were collected at the age of one month old from twelve infants from an at risk birth cohort in a case control manner. Clin… Show more

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Cited by 16 publications
(7 citation statements)
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“…pseudocatenulatum was a major feature in the early (days 6 and 42) gut microbiota of infants fed by secretor CMs. This species has been found to exert several beneficial effects on infants (62, 63). However, it is not the most common Bifidobacterium species found in the feces of breast-fed infants (64); B.…”
Section: Discussionmentioning
confidence: 99%
“…pseudocatenulatum was a major feature in the early (days 6 and 42) gut microbiota of infants fed by secretor CMs. This species has been found to exert several beneficial effects on infants (62, 63). However, it is not the most common Bifidobacterium species found in the feces of breast-fed infants (64); B.…”
Section: Discussionmentioning
confidence: 99%
“…We found sixteen articles that correlated atopic dermatitis (AD) and the gut microbiome. Even though ten reports stated there were non-significant differences in the bacterial families between healthy and AD, [23][24][25][26][27][28][29][30][31][32] four articles support significant low abundance diversity in AD gut microbiome (Table 2). [33][34][35][36] The subjects of all the papers ranged from infants, toddlers, and children.…”
Section: Increase Decrease Referencesmentioning
confidence: 99%
“…The processing and analysis of the data acquired are crucial for an appropriate and true depiction of the gut microbiome's community and stability [120]. The bacterial DNA sequences, extracted from fecal samples, are used in differentiating the gene patterns of the gut microbiome [121,122] and can be interpreted and identified using bioinformatic software such as MOTHUR, Greengenes and QIIME 2 [120,[123][124][125][126][127]. OTUs are assigned to bacterial DNA sequences based on a value of 97% similarity or higher, with normalization to control for differences in sequencing depths (a given number of reads of a nucleotide in a sequence), diversity (species present and its relative abundance) and log transformations to standardize variances, such as dominant and rare bacterial species [128].…”
Section: Bacterial Identificationmentioning
confidence: 99%