Metabolomics

Dataset Information

0

Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes (Human data)


ABSTRACT: Evidence from several recent metabolomic studies suggests that increased concentrations of triacylglycerols (TAGs) with shorter (14-16 carbon atoms), saturated fatty acids are associated with insulin resistance and the risk of type 2 diabetes. Although causality cannot be inferred from association studies, patients in whom the primary cause of insulin resistance can be genetically defined, offer unique opportunities to address this challenge. Therefore, we compared metabolite profiles in patients with congenital lipodystrophy or loss-of-function insulin resistance (INSR) mutations with healthy controls. The absence of significant differences in TAG species in the INSR group suggest that changes previously observed in epidemiological studies are not purely a consequence of insulin resistance. The presence of TAGs with lower carbon numbers and high saturation in patients with lipodystrophy suggests that these metabolite changes may be associated with primary adipose tissue dysfunction. The observed pattern of TAG species is indicative of increased de novo lipogenesis (DNL). To test this we investigated the distribution of these TAGs in lipoprotein fractions using size exclusion chromatography prior to mass spectrometry. This associated these TAGs with VLDL particles, and hence release of TAGs into the blood from the liver. To test further the hepatic origin of these TAGs we induced DNL in the mouse, comparing ob/ob and wild type mice on a chow or high fat diet, confirming that DNL induced an increase in relatively shorter, more saturated fatty acids. Overall, these studies highlight DNL in the pathogenesis of metabolic dyslipidaemia in states where energy intake exceeds the capacity of adipose tissue.

The protocols and data for human samples are reported in the current study MTBLS162.
The protocols and data for mice samples are reported in the study MTBSL327.

INSTRUMENT(S): Exactive (Thermo Scientific)

SUBMITTER: Xinzhu Wang 

PROVIDER: MTBLS162 | MetaboLights | 2015-10-05

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS162 Other
FILES Other
a_MTBLS162_lypodystrophy_metabolite_profiling_mass_spectrometry.txt Txt
i_Investigation.txt Txt
m_MTBLS162_lypodystrophy_metabolite_profiling_mass_spectrometry_v2_maf.tsv Tabular
Items per page:
1 - 5 of 6
altmetric image

Publications


<h4>Background</h4>Evidence from several recent metabolomic studies suggests that increased concentrations of triacylglycerols with shorter (14-16 carbon atoms), saturated fatty acids are associated with insulin resistance and the risk of type 2 diabetes. Although causality cannot be inferred from association studies, patients in whom the primary cause of insulin resistance can be genetically defined offer unique opportunities to address this challenge.<h4>Methods</h4>We compared metabolite prof  ...[more]

Similar Datasets

2017-03-02 | MTBLS327 | MetaboLights
2024-07-16 | GSE235302 | GEO
2024-07-16 | GSE234884 | GEO
2020-01-27 | GSE109739 | GEO
2021-10-01 | GSE156906 | GEO
2021-10-01 | GSE159924 | GEO
2018-03-13 | MTBLS616 | MetaboLights
2018-03-12 | MTBLS614 | MetaboLights
2024-02-09 | GSE237338 | GEO
2018-04-18 | GSE100989 | GEO