Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Worsening of Obesity and Metabolic Status Yields Similar Molecular Adaptations_Subcutaneous and Visceral Adipose Tissue

ABSTRACT: Context: It is not known whether biological differences reported between subcutaneous (SAT) and visceral (VAT) adipose tissue depots underlie the pathogenicity of visceral fat. Objective: We compared SAT and VAT gene expression according to obesity, visceral fat accumulation, insulin resistance and presence of the metabolic syndrome. Design: Subjects were assigned into 4 groups (lean, overweight, obese and obese with metabolic syndrome). Setting: Subjects were recruited at a university hospital. Patients: 32 women were included. Main Outcome Measures: Anthropometric measurements, euglycemic hyperinsulinemic clamps, blood analyses and computed tomography scans were performed and paired samples of SAT and VAT were obtained for DNA microarray-based gene expression profiling.

ORGANISM(S): Homo sapiens

PROVIDER: GSE24883 | GEO | 2010/12/07

SECONDARY ACCESSION(S): PRJNA132027

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

A long-term high fat diet induces differential gene expression changes in spatially distinct adipose tissues.

Project description:The accumulation of visceral adipose tissue (VAT) is strongly associated with cardiovascular disease and diabetes. In contrast, individuals with increased subcutaneous adipose tissue (SAT) without corresponding increases in VAT are associated with a metabolic healthy obese phenotype. These observations implicate dysfunctional VAT as a driver of disease processes, warranting investigation into obesity-induced alterations of distinct adipose depots. To determine the effects of obesity on adipose gene expression, mice were fed either a high fat or normal laboratory diet for 12-14 months. Mesenteric VAT and hindlimb SAT were isolated from four lean controls and four obese mice for bulk RNA- sequencing. AT from lean controls served as a reference to obesity-induced changes. The long-term high fat diet induced the expression of 169 and 814 unique genes in SAT and VAT, respectively. SAT from obese mice exhibited a total of 308 differentially expressed genes (164 upregulated, 144 downregulated). VAT from obese mice exhibited 690 differentially expressed genes (262 genes upregulated, 428 downregulated). KEGG pathway and GO analyses revealed that metabolic pathways were upregulated in SAT vs. downregulated in VAT while inflammatory signaling was upregulated in VAT. We next determined common genes that were differentially regulated between SAT and VAT in response to obesity and identified four genes that exhibited this profile: elovl6 and kcnj15 were upregulated in SAT/downregulated in VAT while trdn and hspb7 were downregulated in SAT/ upregulated in VAT. We propose that these genes in particular should be further pursued to determine their roles in SAT vs. VAT with obesity.

2024-06-12 | GSE269663 | GEO

Subcutaneous adipose tissue and visceral adipose tissue gene expression profiles in Mexican patients with obesity

Project description:Using RNA isolated from subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) samples obtained from control and class I, II and III obese patients undergoing inguinal hernia repair and laparoscopic cholecystectomy, we compared the gene expression profiles between SAT and VAT using microarrays and validated the findings by real-time quantitative PCR. Two-condition experiment, SAT vs. VAT tissue. Biological replicates: 8 SAT replicates, 8 VAT replicates.

2016-07-20 | E-GEOD-84599 | biostudies-arrayexpress

Deep subcutaneous adipose tissue (dSAT) vs. superficial subcutaneous adipose (sSAT)

Project description:In addition to total body fat, the regional distribution and inflammatory status of enlarged adipose tissue are strongly linked to metabolic and cardiovascular complications of obesity. We recently showed that the severity of liver non-alcoholic histopathology in obese subjects increased with the amounts of macrophages in visceral adipose tissue (VAT), while no relation was found with the subcutaneous adipose tissue (SAT). In the abdominal region, SAT is anatomically divided into superficial (sSAT) and deep (dSAT) layers. The aim of the present study was to test the hypothesis that these distinct compartments differentially contribute to hepatic alteration in obesity. Total RNA was isolated from two different strata of human adipose tissue of 8 subjects.

2011-08-31 | E-GEOD-30133 | biostudies-arrayexpress

Changes in CIDEA expression associate with adipocytes size and functionality in adolescent obese girls

Project description:About 20% of youth are obese with higher risk for cardiovascular disease and type 2 diabetes (T2D). We have recently reported that in obese adolescents altered pattern of fat distribution is associated with insulin resistance and T2D. In particular, the high ratio of visceral AT depot (VAT) to abdominal subcutaneous AT depot (SAT) (high VAT/(VAT+SAT)) was associated with a metabolically unhealthy phenotype with high risk for insulin resistance and T2D. CIDEA (Cell death inducing DNA fragmentation factor-alpha-like A) is a member of CIDE family and it is not only involved in the promotion of cell death and DNA fragmentation but it also plays critical roles in the lipid droplets formation and growth. Here we demonstrated in abdominal SAT from adolescent obese girls with high VAT/(VAT+SAT) a significant reduction of CIDEA expression associated with an increase in fasting insulin, serum FFA and consequent insulin resistance. We also demonstrated a direct correlation between CIDEA expression and fraction of large cells and an inverse correlation with small adipocytes number and pre-adipocytes proliferation. After gaining weight, we observed an increase in adipocytes cell diameter but a decrease in CIDEA expression, and the transcriptomic analysis showed a gene profile linked to adipocyte dysfunction. Together, these data suggested that in subjects with high VAT/(VAT+SAT) decreased CIDEA expression is associated with an increase in adipocyte cell sizing and consecutive insulin resistance.

2021-12-01 | GSE159955 | GEO

Deep subcutaneous adipose tissue (dSAT) vs. superficial subcutaneous adipose (sSAT)

2011-09-01 | GSE30133 | GEO

Subcutaneous adipose tissue and visceral adipose tissue gene expression profiles in Mexican patients with obesity

2016-07-20 | GSE84599 | GEO

The Hidden Culprit of Visceral Fat: Dysfunctional Subcutaneous Adipose Tissue – Serum proteomics

Project description:To investigate the proteomic profiles of paired subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) samples, as well as their correlations with clinical traits in severely obese patients, and to identify potential serum protein markers associated with tissue expression or metabolic states.

2024-05-24 | PXD041750 | Pride

The Hidden Culprit of Visceral Fat: Dysfunctional Subcutaneous Adipose Tissue – Adipose tissue proteomics

2023-10-16 | PXD041721 | Pride

RNA-seq of human adipose tissue macrophage subtypes in obesity

Project description:We profiled three prominent ATM subtypes from human visceral omental adipose tissue in obesity by RNA-seq. In the related manuscript, we evaluated differences in their signatures and their relationship to type 2 diabetes: Visceral (VAT) and subcutaneous (SAT) adipose tissue samples were collected from diabetic and non-diabetic obese subjects to evaluate cellular content and gene expression. VAT CD206+CD11c− ATMs were increased in diabetic subjects, scavenger receptor-rich with low intracellular lipids, secreted proinflammatory cytokines, and diverged significantly from two CD11c+ ATM subtypes, which were lipid-laden, lipid antigen presenting, and overlapped with monocyte signatures. Furthermore, diabetic VAT was enriched for CD206+CD11c− ATM and inflammatory signatures, scavenger receptors, and MHC II antigen presentation genes. VAT immunostaining found CD206+CD11c⁻ ATMs concentrated in vascularized lymphoid clusters adjacent to CD206⁻CD11c+ ATMs, while CD206+CD11c+ were distributed between adipocytes. Our results suggest ATM subtype-specific profiles that uniquely contribute to the phenotypic variation in obesity.

2022-01-31 | GSE189849 | GEO

Integratome analysis of adipose tissues reveals abnormal epigenetic regulation of adipogenesis, inflammation, and insulin signaling in obese individuals with type 2 diabetes

Project description:Type 2 diabetes (T2D) is associated with cardiovascular-renal complications and premature death. Although most patients with T2D are obese, not all obese individuals develop T2D. Thus, an understanding of the mechanistic relationships between obesity and T2D is crucial. In this study, using subcutaneous (SAT) and visceral adipose tissues (VAT) from obese individuals with or without T2D collected during metabolic surgery, integration of the transcriptomes and methylomes of VAT and SAT with publicly available tissue-specific regulatory networks, we discovered the close relation between T2D and inflammatory response in both SAT and VAT in obese individuals, although less differences were observed respectively in transcriptome or methylome. Specifically, a HOX gene family-enriched functional epigenetic sub-network in T2D-SAT, as well as a novel such sub-network was discovered, which involved multiple genes implicated in activation of obesity-induced inflammatory response. Our integrated approach of using biosamples, multi-omic data and public databases to understand complex diseases for discovery of novel biology, including biomarkers and drug targets, can be applied to diseases other than T2D and obesity.

2021-12-20 | GSE162166 | GEO

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