Study [HuMet_mrt_2012] study / subjects / design / samples / assays

Basic properties of your study This page shows the basic information about your study, as well as information on the authorizations.

Publications

Contacts

  • Wilms, Lars
    Data Submission
  • Verschuren, Lars
    Data Submission

Authorization

Public Design
Yes
Readers
mariona.pinart
Mikkel.Tullin
serdar.ozsezen
rosario.lombardo
zefoteus
Writers
pieter.giesbertz
Study title
The dynamic range of the human metabolome revealed by challenges
Template
Intervention/Observation study
title
The dynamic range of the human metabolome revealed by challenges
description
Metabolic challenge protocols, such as the oral glucose tolerance test, can uncover early alterations in metabolism preceding chronic diseases. Nevertheless, most metabolomics data accessible today reflect the fasting state. To analyze the dynamics of the human metabolome in response to environmental stimuli, we submitted 15 young healthy male volunteers to a highly controlled 4 d challenge protocol, including 36 h fasting, oral glucose and lipid tests, liquid test meals, physical exercise, and cold stress. Blood, urine, exhaled air, and breath condensate samples were analyzed on up to 56 time points by MSand NMR-based methods, yielding 275 metabolic traits with a focus on lipids and amino acids. Here, we show that physiological challenges increased interindividual variation even in phenotypically similar volunteers, revealing metabotypes not observable in baseline metabolite profiles; volunteer-specific metabolite concentrations were consistently reflected in various biofluids; and readouts from a systematic model of _-oxidation (e.g., acetylcarnitine/ palmitylcarnitine ratio) showed significant and stronger associations with physiological parameters (e.g., fat mass) than absolute metabolite concentrations, indicating that systematic models may aid in understanding individual challenge responses. Due to the multitude of analytical methods, challenges and sample types, our freely available metabolomics data set provides a unique reference for future metabolomics studies and for verification of systems biology models.
code
HuMet_mrt_2012
startDate
2012-03-09 00:00:00.0
Study type
Human Intervention
Objectives
To analyze the dynamics of the human metabolome in response to environmental stimuli
Consortium
not defined

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