The International Atomic Energy Agency International Doubly Labelled Water Database: Aims, Scope and Procedures.


Journal

Annals of nutrition & metabolism
ISSN: 1421-9697
Titre abrégé: Ann Nutr Metab
Pays: Switzerland
ID NLM: 8105511

Informations de publication

Date de publication:
2019
Historique:
received: 08 08 2019
accepted: 11 09 2019
pubmed: 20 11 2019
medline: 7 8 2020
entrez: 20 11 2019
Statut: ppublish

Résumé

The doubly labelled water (DLW) method is an isotope-based technique that quantifies total energy expenditure (TEE) over periods of 1-3 weeks from the differential elimination of stable isotopes of oxygen and hydrogen. The method was invented in the 1950s, but limited ability to measure low isotope enrichments combined with the high cost of isotopes meant it only became feasible to use in humans in the 1980s. It is still relatively expensive to use, and alone small samples are unable to tackle some of the important questions surrounding energy balance such as how have expenditures changed over time and how do expenditures differ with age, between sexes and in different environments? By combining information across studies, answers to such questions may be possible. The International Atomic Energy Agency (IAEA) DLW database was established to pool DLW data across multiple studies. It was initiated by the main labs currently using the method and is hosted by the IAEA. At present, the database contains 6,621 measures of TEE by DLW from individuals in 23 countries, along with various additional data on the study participants. Key Messages: The IAEA DLW database is a key resource enabling future studies of energy demands.

Sections du résumé

BACKGROUND
The doubly labelled water (DLW) method is an isotope-based technique that quantifies total energy expenditure (TEE) over periods of 1-3 weeks from the differential elimination of stable isotopes of oxygen and hydrogen. The method was invented in the 1950s, but limited ability to measure low isotope enrichments combined with the high cost of isotopes meant it only became feasible to use in humans in the 1980s. It is still relatively expensive to use, and alone small samples are unable to tackle some of the important questions surrounding energy balance such as how have expenditures changed over time and how do expenditures differ with age, between sexes and in different environments?
SUMMARY
By combining information across studies, answers to such questions may be possible. The International Atomic Energy Agency (IAEA) DLW database was established to pool DLW data across multiple studies. It was initiated by the main labs currently using the method and is hosted by the IAEA. At present, the database contains 6,621 measures of TEE by DLW from individuals in 23 countries, along with various additional data on the study participants. Key Messages: The IAEA DLW database is a key resource enabling future studies of energy demands.

Identifiants

pubmed: 31743893
pii: 000503668
doi: 10.1159/000503668
doi:

Substances chimiques

Oxygen Isotopes 0
Oxygen-18 0
Deuterium AR09D82C7G

Types de publication

Congress Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

114-118

Informations de copyright

© International Atomic Energy Agency 2019 Published by S. Karger AG, Basel.

Auteurs

John R Speakman (JR)

Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China, J.Speakman@abdn.ac.uk.
Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom, J.Speakman@abdn.ac.uk.

Herman Pontzer (H)

Evolutionary Anthropology, Duke University, Durham, North Carolina, USA.
Duke Global Health Institute, Duke University, Durham, North Carolina, USA.

Jennifer Rood (J)

Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.

Hiroyuki Sagayama (H)

Faculty of Health and Sports Sciences, University of Tsukuba, Tsukuba, Japan.

Dale A Schoeller (DA)

Biotechnology Center and Nutritional Sciences, University of Wisconsin, Madison, Wisconsin, USA.

Klaas R Westerterp (KR)

Nutrition and Translational Research in Metabolism, University of Maastricht, Maastricht, The Netherlands.

William W Wong (WW)

USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.

Yosuke Yamada (Y)

National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.

Cornelia Loechl (C)

Division of Human Health, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.

Alexia J Murphy-Alford (AJ)

Division of Human Health, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.

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Classifications MeSH