Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Dynamics of the intestinal microbiome in pediatric obesity

ABSTRACT: Microbiome in pediatric obesity

PROVIDER: PRJEB73820 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR12764739_1.fastq.gz	Fastqsanger.gz
	ERR12764739_2.fastq.gz	Fastqsanger.gz
	ERR12764740_1.fastq.gz	Fastqsanger.gz
	ERR12764740_2.fastq.gz	Fastqsanger.gz
	ERR12764741_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 120

Similar Datasets

CD4+ cells and pediatric obesity-related asthma

Project description:To investigate the contribution of CD4+ T cells in pediatric obesity-related asthma.

2025-03-21 | GSE227915 | GEO

Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity [GenomeWideSNP_6]

Project description:Purpose: Obesity is known to be a multifactorial condition that is highly heritable. There have been ~60 susceptibility loci identified, but they only account for a fraction of cases.. As copy number variations (CNVs) have been implicated in the etiology of a multitude of human disorders including obesity, here, we investigated the contribution of rare CNVs (<0.1% population frequency) in pediatric cases of obesity. Methods: We genotyped 67 pediatric patients presenting with obesity, including 22 with co-morbid developmental delay and prioritized rare CNVs at known associated loci, as well as, those impacting genes involved in energy homeostasis or related processes. Results: We identified clinically relevant or potentially clinically-relevant CNVs in 15% (10/67) of individuals. Of these, 4% (3/67) had 16p11.2 microdeletions encompassing the known obesity risk gene SH2B1. Notably, we identified two unrelated probands harboring different 6p22.2 microduplications encompassing SCGN, a potential novel candidate gene for obesity. Further, we identified other biologically relevant candidate genes for pediatric obesity including ARID5B, GPR39, PTPRN2, and HNF4G. Conclusion: We found previously reported candidate loci for obesity, and new ones, suggesting CNV analysis may assist in the diagnosis of pediatric obesity.

2018-07-12 | GSE101416 | GEO

Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity [CytoScanHD_Array]

Project description:Purpose: Obesity is known to be a multifactorial condition that is highly heritable. There have been ~60 susceptibility loci identified, but they only account for a fraction of cases. As copy number variations (CNVs) have been implicated in the etiology of a multitude of human disorders including obesity, here, we investigated the contribution of rare CNVs (<0.1% population frequency) in pediatric cases of obesity. Methods: We genotyped 67 pediatric patients presenting with obesity, including 22 with co-morbid developmental delay and prioritized rare CNVs at known associated loci, as well as, those impacting genes involved in energy homeostasis or related processes. Results: We identified clinically relevant or potentially clinically-relevant CNVs in 15% (10/67) of individuals. Of these, 4% (3/67) had 16p11.2 microdeletions encompassing the known obesity risk gene SH2B1. Notably, we identified two unrelated probands harboring different 6p22.2 microduplications encompassing SCGN, a potential novel candidate gene for obesity. Further, we identified other biologically relevant candidate genes for pediatric obesity including ARID5B, GPR39, PTPRN2, and HNF4G. Conclusion: We found previously reported candidate loci for obesity, and new ones, suggesting CNV analysis may assist in the diagnosis of pediatric obesity.

2018-07-12 | GSE101414 | GEO

Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity [Omni2.5M Beadchip]

2018-07-12 | GSE101417 | GEO

CD4+ cells and pediatric obesity-related asthma - Single Cell

Project description:To investigate the contribution of CD4+ T cells in pediatric obesity-related asthma.

2025-04-09 | GSE274583 | GEO

Manipulation of the gut microbiome as a strategy to treat the osteoarthritis of obesity

Project description:Obesity is a risk factor for Osteoarthritis (OA), the greatest cause of disability in the US. The impact of obesity on OA is driven by systemic inflammation, now understood to be caused by an altered gut microbiome. Oligofructose, a non-digestible prebiotic fiber, can correct the obese gut microbiome, suggesting a novel approach to treat the OA of obesity. Here we report that in the obese murine gut, beneficial Bifidobacteria are lost while key proinflammatory species gain in abundance. A downstream systemic inflammatory signature culminates with accelerated knee OA. Oligofructose supplementation corrects the obese gut microbiome in part by supporting key commensal microflora, particularly Bifidobacterium pseudolongum. This leads to reduced inflammation in the colon, circulation and knee, and protection from OA. This novel recognition of a gut microbiome-OA connection sets the stage for discovery of new OA therapeutics targeting specific microbes inhabiting the intestinal space to inhibit disease pathology.

2018-06-22 | GSE98287 | GEO

CD4+ cells and pediatric obesity-related asthma

Project description:CD4+ cells and pediatric obesity-related asthma

| PRJNA947501 | ENA

Genetic and Epigenetic Determinants of Pediatric Obesity-Associated Asthma

Project description:Genetic and Epigenetic Determinants of Pediatric Obesity-Associated Asthma

| PRJNA533156 | ENA

Genetic and Epigenetic Determinants of Pediatric Obesity-Associated Asthma

Project description:Genetic and Epigenetic Determinants of Pediatric Obesity-Associated Asthma

| PRJNA533157 | ENA

Gut Microbiome Dynamics in Metastasized or Irresectable Colorectal Cancer

Project description:In this study the characteristics and alterations of the gut microbiome during chemotherapy for metastasized or irresectable CRC are studied, as well as the relation between the gut microbiome and the effects of chemotherapy.

| 2304873 | ecrin-mdr-crc

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data