Advanced

Metabolomics Analysis of Nutrient Metabolism in β-Cells

Spégel, Peter LU and Mulder, Hindrik LU (2019) In Journal of Molecular Biology
Abstract

The islets of Langerhans harbor multiple endocrine cell types that continuously respond to circulating nutrient levels in order to adjust their secretion of catabolic and anabolic hormones. Stimulus–secretion coupling in these cells is largely of metabolic nature; that is, metabolism of nutrient fuels yields signals that trigger and amplify secretion of hormones. Hence, metabolism in this micro-organ is in a major way in control of whole-body metabolism. Therefore, insights into islet metabolism are critical to understand how secretion of insulin is regulated and why it is perturbed in type 2 diabetes. Metabolomics aims at characterizing a wide spectrum of metabolites in cells, tissues and body fluids. For this reason, this technique is... (More)

The islets of Langerhans harbor multiple endocrine cell types that continuously respond to circulating nutrient levels in order to adjust their secretion of catabolic and anabolic hormones. Stimulus–secretion coupling in these cells is largely of metabolic nature; that is, metabolism of nutrient fuels yields signals that trigger and amplify secretion of hormones. Hence, metabolism in this micro-organ is in a major way in control of whole-body metabolism. Therefore, insights into islet metabolism are critical to understand how secretion of insulin is regulated and why it is perturbed in type 2 diabetes. Metabolomics aims at characterizing a wide spectrum of metabolites in cells, tissues and body fluids. For this reason, this technique is well suited to supply information on stimulus–secretion coupling. Here, we summarize metabolomics studies in islets and β-cells, highlight important discoveries that would have been difficult to make without this technology but also raise awareness of challenges and bottlenecks that curtail its use in metabolic research.

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
diabetes, mass spectrometry, metabolite profiling, pancreatic beta-cell, stimulus–secretion coupling
in
Journal of Molecular Biology
publisher
Elsevier
external identifiers
  • scopus:85069690955
ISSN
0022-2836
DOI
10.1016/j.jmb.2019.07.020
language
English
LU publication?
yes
id
c46fe36d-c8c2-4527-9b4d-ffd98e546ce0
date added to LUP
2019-08-09 10:50:25
date last changed
2019-08-28 15:55:38
@article{c46fe36d-c8c2-4527-9b4d-ffd98e546ce0,
  abstract     = {<p>The islets of Langerhans harbor multiple endocrine cell types that continuously respond to circulating nutrient levels in order to adjust their secretion of catabolic and anabolic hormones. Stimulus–secretion coupling in these cells is largely of metabolic nature; that is, metabolism of nutrient fuels yields signals that trigger and amplify secretion of hormones. Hence, metabolism in this micro-organ is in a major way in control of whole-body metabolism. Therefore, insights into islet metabolism are critical to understand how secretion of insulin is regulated and why it is perturbed in type 2 diabetes. Metabolomics aims at characterizing a wide spectrum of metabolites in cells, tissues and body fluids. For this reason, this technique is well suited to supply information on stimulus–secretion coupling. Here, we summarize metabolomics studies in islets and β-cells, highlight important discoveries that would have been difficult to make without this technology but also raise awareness of challenges and bottlenecks that curtail its use in metabolic research.</p>},
  author       = {Spégel, Peter and Mulder, Hindrik},
  issn         = {0022-2836},
  keyword      = {diabetes,mass spectrometry,metabolite profiling,pancreatic beta-cell,stimulus–secretion coupling},
  language     = {eng},
  month        = {07},
  publisher    = {Elsevier},
  series       = {Journal of Molecular Biology},
  title        = {Metabolomics Analysis of Nutrient Metabolism in β-Cells},
  url          = {http://dx.doi.org/10.1016/j.jmb.2019.07.020},
  year         = {2019},
}