Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Human s.c adipose tissue gene expression during diet-induced weight loss


ABSTRACT: Obesity has considerable effects on morbidity and mortality and the prevalence of obesity has been increasing rapidly worldwide during the past two decades. Even if obesity affects the entire individual, adipose tissue play a central role in the development of obesity. Expression profiling of adipose tissue may give insights into mechanisms contributing to obesity and obesity-related disorders. 24 obese subjects (6 women and 18 men, BMI 37.6 ± 4.9) received a very low calorie diet (450 kcal/d, Cambridge diet or Modifast) for 16 weeks. On average, patients lost 27.7 kg during the diet. Microarray expression analysis (Affymetrix U133A) in subcutaneous adipose tissue was performed before diet and after 16 weeks of diet.

ORGANISM(S): Homo sapiens

SUBMITTER: Intawat Nookaew 

PROVIDER: E-GEOD-35710 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Adipose tissue resting energy expenditure and expression of genes involved in mitochondrial function are higher in women than in men.

Nookaew Intawat I   Svensson Per-Arne PA   Jacobson Peter P   Jernås Margareta M   Taube Magdalena M   Larsson Ingrid I   Andersson-Assarsson Johanna C JC   Sjöström Lars L   Froguel Philippe P   Walley Andrew A   Nielsen Jens J   Carlsson Lena M S LM  

The Journal of clinical endocrinology and metabolism 20121221 2


<h4>Context</h4>Men and women differ in body fat distribution and adipose tissue metabolism as well as in obesity comorbidities and their response to obesity treatment.<h4>Objective</h4>The objective of the study was a search for sex differences in adipose tissue function.<h4>Design and setting</h4>This was an exploratory study performed at a university hospital.<h4>Participants and main outcome measures</h4>Resting metabolic rate (RMR), body composition, and sc adipose tissue genome-wide expres  ...[more]

Similar Datasets

2013-01-22 | E-GEOD-27657 | biostudies-arrayexpress
2013-01-22 | GSE35710 | GEO
2009-12-02 | E-GEOD-19238 | biostudies-arrayexpress
2023-07-03 | GSE234889 | GEO
2012-01-01 | E-GEOD-27525 | biostudies-arrayexpress
2015-05-18 | E-GEOD-58952 | biostudies-arrayexpress
2021-04-01 | GSE167311 | GEO
2012-02-24 | E-GEOD-36033 | biostudies-arrayexpress
2011-08-20 | E-GEOD-25205 | biostudies-arrayexpress
2015-01-08 | E-GEOD-64768 | biostudies-arrayexpress