Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Metabolic Adaptations to Chronic and Acute Exercise in Overweight Adults (ATX-Study) preliminary data

ABSTRACT: The primary purpose of this study is to examine the effects of chronic exercise training and an acute session of exercise on key risk factors associated with Metabolic Syndrome (e.g., glucose tolerance, blood lipid profile, and blood pressure) and alterations in subcutaneous adipose tissue structure and metabolic function in overweight adults. Human adipose tissue samples collected before, and one hour after a 1h exercise session at ~65% VO2max (maximal oxygen uptake)

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Adipose Tissue

DISEASE(S): Obesity

SUBMITTER: Maureen Kachman

PROVIDER: ST000777 | MetabolomicsWorkbench | Mon Jun 05 00:00:00 BST 2017

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	mwtab	Other

Items per page:

1 - 1 of 1

Similar Datasets

Metabolomics Workbench ST000777 - GNPS - Metabolic Adaptations to Chronic and Acute Exercise in Overweight Adults (ATX-Study) preliminary data

Project description:The primary purpose of this study is to examine the effects of chronic exercise training and an acute session of exercise on key risk factors associated with Metabolic Syndrome (e.g., glucose tolerance, blood lipid profile, and blood pressure) and alterations in subcutaneous adipose tissue structure and metabolic function in overweight adults. Human adipose tissue samples collected before, and one hour after a 1h exercise session at ~65% VO2max (maximal oxygen uptake)

2018-08-02 | MSV000082737 | GNPS

Gene expression changes in adipose tissue with diet- and/or exercise-induced weight loss

Project description:An ancillary study within a randomized trial of diet, exercise, or combined diet+exercise vs. control among overweight/obese postmenopausal women. Subcutaneous adipose-tissue biopsies were performed at baseline and after 6 months and changes in adipose-tissue gene expression were determined by microarray with an emphasis on pre-specified candidate pathways, as well as by unsupervised clustering. Analyses were conducted first by randomization group, and then by degree of weight change at 6-months in all women combined. Total RNA was obtained from subcutaneous adipose tissue biopsies at baseline and 6 months. A total of 47 women were biopsied and one replicate participant was included for a total of 96 samples.

2013-01-15 | E-GEOD-43471 | biostudies-arrayexpress

Gene expression changes in adipose tissue with diet- and/or exercise-induced weight loss

2013-01-15 | GSE43471 | GEO

Adipose tissue adaptations to an 8-week weight loss intervention in younger and older obese men,

Project description:Abdominal subcutaneous adipose tissue transcriptomes were analyzed between 11 young and 8 elderly obese men during a lifestyle intervention. Lifestyle intervention: Individuals underwent 8-weeks of calorie-restriction of 20% below their daily energy requirement aerobic combined to two sessions of resistance exercise per weeks.

2021-08-23 | GSE159809 | GEO

Exercise training induces depot-specific remodelling of protein secretion in skeletal muscle and adipose tissue of obese male mice

Project description:Assessment of secreted proteins from EDL and soleus muscle, as well as visceral and subcutaneous adipose tissue of sedentary and exercise-trained obese male mice.

2024-10-21 | PXD043929 | Pride

A saturated fatty acid rich diet can induce an 'obese-like' gene expression profile in adipose tissue

Project description:We investigated the effect of a saturated (SFA) and a monounsaturated (MUFA) rich diet on insulin sensitivity and adipose tissue gene expression profiles of subjects at risk for metabolic syndrome. A controlled-feeding trial was performed with 20 moderately overweight subjects. Subjects received a SFA-rich or a MUFA-rich diet for 8 weeks. Subcutaneous adipose tissue samples were obtained and insulin sensitivity was measured. Whole genome micro-array analysis was performed on the adipose tissue samples. Consumption of a SFA-rich diet resulted in a pro-inflammatory 'obese-like' gene expression profile while consumption of a MUFA-rich diet caused a more anti-inflammatory profile. This suggests that replacement of dietary SFA by MUFA could prevent adipose tissue inflammation and may reduce the risk for inflammation related diseases such as the metabolic syndrome. In a parallel controlled feeding trial, subcutaneous adipose tissue samples were collected from moderately overweight human subjects at baseline and after 8 weeks consumption of either SFA-rich or MUFA-rich diets. RNA was isolated from the samples using Trizol and the Qiagen RNeasy Micro kit (Qiagen, Venlo, the Netherlands). RNA was was labeled using a one-cycle cDNA labeling kit (MessageAmpTM II-Biotin Enhanced Kit, Ambion, Inc.) and hybridized to Affymetrix NuGO_Hs1a52018 arrays.

2010-02-13 | E-GEOD-14954 | biostudies-arrayexpress

Dynamic changes in the transcriptome of tRNA-derived small RNAs related with fat metabolism II

Project description:The prevalence of obesity and overweight is steadily rising, posing a significant global challenge for humanity. The fundamental cause of obesity and overweight lies in the abnormal accumulation of adipose tissue. While numerous regulatory factors related to fat deposition have been identified in previous studies, a considerable number of regulatory mechanisms remain unknown. tRNA-derived small RNAs (tsRNAs), a novel class of non-coding RNAs, have emerged as significant regulators in various biological processes. In this study, we obtained small RNA sequencing data from subcutaneous white adipose tissue and omental white adipose tissue of lean and obese pigs. In addition, we similarly obtained tsRNAs profiles from scapular brown adipose tissue (BAT), inguinal white adipose tissue (iWAT) and epigonadal white adipose tissue (eWAT) of normal mice. Finally, we successfully identified a large number of expressed tsRNAs in each tissue type and identified tsRNAs conserved in different adipose tissues of pigs and mice. These datasets will be a valuable resource for elucidating the epigenetic mechanisms of fat deposition.

2023-06-20 | GSE235088 | GEO

Dynamic changes in the transcriptome of tRNA-derived small RNAs related with fat metabolism I

Project description:The prevalence of obesity and overweight is steadily rising, posing a significant global challenge for humanity. The fundamental cause of obesity and overweight lies in the abnormal accumulation of adipose tissue. While numerous regulatory factors related to fat deposition have been identified in previous studies, a considerable number of regulatory mechanisms remain unknown. tRNA-derived small RNAs (tsRNAs), a novel class of non-coding RNAs, have emerged as significant regulators in various biological processes. In this study, we obtained small RNA sequencing data from subcutaneous white adipose tissue and omental white adipose tissue of lean and obese pigs. In addition, we similarly obtained tsRNAs profiles from scapular brown adipose tissue (BAT), inguinal white adipose tissue (iWAT) and epididymal white adipose tissue (eWAT) of normal mice. Finally, we successfully identified a large number of expressed tsRNAs in each tissue type and identified tsRNAs conserved in different adipose tissues of pigs and mice. These datasets will be a valuable resource for elucidating the epigenetic mechanisms of fat deposition.

2023-06-20 | GSE235087 | GEO

Conserved multitissue transcriptomic adaptations to exercise training in humans and mice

Project description:Physical activity is associated with beneficial adaptations in human and rodent metabolism. We studied over 50 complex traits before and after exercise intervention in middle-aged men and a panel of 100 diverse strains of female mice. Candidate gene analyses in three brain regions, muscle, liver, heart, and adipose tissue of mice revealed genetic drivers of clinically relevant traits including volitional exercise volume, muscle metabolism, adiposity, and hepatic lipids. Although ~33% of genes differentially expressed in skeletal muscle following the exercise intervention were similar in mice and men independent of BMI, responsiveness of adipose tissue to exercise-stimulated weight loss appears impacted by species and underlying genotype. We leveraged genetic diversity to generate prediction models of metabolic trait responsiveness to volitional activity offering a framework for advancing personalized exercise prescription. Finally, we make the human and mouse data publicly available via user-friendly web-based application to enhance data mining and hypothesis development.

2023-04-20 | GSE230102 | GEO

Tissue-level dissection of obesity-exercise axis in adipose-muscle tissues

Project description:We studied the opposing effects of exercise training and high-fat diet at tissue-level resolution to reveal gene expression and pathway changes in subcutaneous white adipose tissue, visceral white adipose tissue, and skeletal muscle. We revealed gene modules consistently up-regulated by exercise training, which include fatty acid biosynthesis/beta-oxidation/metabolism, oxidative phosphorylation, TCA cycle, and ROS response. Modules down-regulated by exercise training in all three tissues are antigen presentation, neutrophil degranulation, immune cell migration, phagosome-related genes, ECM-related genes, proliferation, and ribonucleotide biosynthesis. Taken together, exercise training improves fatty acid metabolism and cellular respiration similarly across the three metabolic tissues, and represses immune, ECM, proliferation and tissue-specific pathways.

2022-10-13 | GSE183239 | 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