Dataset Information

Metagenomic assessment of AXOS intake in overweight individuals

ABSTRACT: The impact of AXOS intake was evaluated in a cohort of 15 overweight individuals with signs of metabolic syndrome. The gut microbiome at baseline and endpoint was assessed by shotgun fecal DNA sequencing.

PROVIDER: PRJEB25727 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	ERR2451930_1.fastq.gz	Fastqsanger.gz
	ERR2451930_2.fastq.gz	Fastqsanger.gz
	ERR2451940_1.fastq.gz	Fastqsanger.gz
	ERR2451940_2.fastq.gz	Fastqsanger.gz
	ERR2451950_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 60

Similar Datasets

Project description:Background and aims: Youth populations with overweight/obesity (OW/OB) exhibit heterogeneity in cardiometabolic health phenotypes (e.g. fasting glucose, serum triglycerides, etc.). The underling mechanisms for those differences are still unclear. This study aimed to analyze the whole blood transcriptome profile (RNA-seq) of children with metabolic healthy overweight/obesity (MHO) and metabolic unhealthy overweight/obesity (MUO) phenotypes. Methods: 27 children with OW/OB (10.14 ± 1.3 years, 59% boys) from the ActiveBrains project were included. MHO was defined as having none of the following criteria for metabolic syndrome: elevated fasting glucose, high serum triglycerides, low high-density lipoprotein cholesterol, and high systolic or diastolic blood pressure, while MUO was defined as presenting one or more of these criteria. Inflammatory markers interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α), epidermal growth factor (EGF) and, vascular endothelial growth factor A (VEGF) were additionally determined. Total-blood RNA was analyzed by 5’-end RNA sequencing. Two different bioinformatics approaches were performed: 1) Differential gene expression analyses using Limma R/Bioconductor software package (analyses adjusted by sex and maturational status) and 2) weighted gene coexpression network analyses (WGCNA). Results: Children with MHO had lower values of pro-inflammatory cytokines TNF-α and IL-6 compared to MUO (p < 0.05). 40 genes were differentially expressed (FDR < 0.05) in children with MHO compared to MUO. WGCNA analysis identified 23 gene coexpression modules (i.e. clusters of genes) with low preservation (Zsummary < 2) in children with MHO compared to MUO. Differential and WGCNA gene expression patterns identified 32 genes linked to metabolism, mitochondrial and immune functions. Conclusions: Whole blood transcriptome analysis revealed a distinct pattern of gene expression in children with MHO compared to MUO children. The identified gene expression patterns related to metabolism, mitochondrial and immune functions can promote a better understanding of cardiovascular disease prognosis in individuals with MHO.

Dataset Information

Metagenomic assessment of AXOS intake in overweight individuals

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets