Metabolomics

Dataset Information

0

A data integration multi-omics approach to study calorie restriction-induced changes in insulin sensitivity


ABSTRACT: The mechanisms responsible for weight loss-induced improvement in insulin sensitivity are partially understood. Greater insight can now be achieved through deep phenotyping and data integration. Here, we used an integrative approach to investigate associations between changes in insulin sensitivity and variations in lifestyle factors (diet and physical activity), subcutaneous adipose tissue (sAT) gene expression, metabolomics in serum, urine and feces, and gut microbiota composition after a 6-week calorie restriction period in overweight and obese adults. A spectrum of variables from lifestyle factors, gut microbiota and host multi-omics most associated with insulin sensitivity was identified. These analyses highlight associations between variations in insulin sensitivity, serum branched chain amino acids, sAT genes involved in endoplasmic reticulum stress and ubiquitination, and gut metagenomic species. This work has enhanced previous knowledge on mechanistic links between host glucose homeostasis, lifestyle factors and microbiota, and has identified modifiable factors and biomarkers that may be used to predict and improve individual response to weight loss interventions.

INSTRUMENT(S): Gas Chromatography MS - Positive (GC-MS (Positive))

SUBMITTER: Véronique PELLOUX 

PROVIDER: MTBLS653 | MetaboLights | 2021-02-11

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS653 Other
FILES Other
a_MTBLS653_nutobeseii_metabolite_profiling_mass_spectrometry-1.txt Txt
i_Investigation.txt Txt
m_MTBLS653_nutobeseii_metabolite_profiling_mass_spectrometry-1_v2_maf.tsv Tabular
Items per page:
1 - 5 of 6
altmetric image

Publications


<b>Background:</b> The mechanisms responsible for calorie restriction (CR)-induced improvement in insulin sensitivity (IS) have not been fully elucidated. Greater insight can be achieved through deep biological phenotyping of subjects undergoing CR, and integration of big data. <b>Materials and Methods:</b> An integrative approach was applied to investigate associations between change in IS and factors from host, microbiota, and lifestyle after a 6-week CR period in 27 overweight or obese adults  ...[more]

Similar Datasets

2018-03-27 | GSE112307 | GEO
2021-04-19 | PXD020902 | Pride
2024-02-16 | GSE255432 | GEO
| EGAS00001002969 | EGA
2009-05-12 | GSE11975 | GEO
2022-09-08 | GSE205891 | GEO
2015-02-21 | E-GEOD-66175 | biostudies-arrayexpress
2023-01-13 | E-MTAB-12486 | biostudies-arrayexpress
2016-07-15 | E-GEOD-76003 | biostudies-arrayexpress
2019-04-03 | GSE126135 | GEO