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Connecting nutrition composition measures to biomedical research
OBJECTIVES: Biomedical research is gaining ground on human disease through many types of “omics”, which is leading to increasingly effective treatments and broad applications for precision medicine. The majority of disease treatments still revolve around drugs and biologics. Although food is consume...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292072/ https://www.ncbi.nlm.nih.gov/pubmed/30541615 http://dx.doi.org/10.1186/s13104-018-3997-y |
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author | Jay, Jeremy J. Sanders, Alexa Reid, Robert W. Brouwer, Cory R. |
author_facet | Jay, Jeremy J. Sanders, Alexa Reid, Robert W. Brouwer, Cory R. |
author_sort | Jay, Jeremy J. |
collection | PubMed |
description | OBJECTIVES: Biomedical research is gaining ground on human disease through many types of “omics”, which is leading to increasingly effective treatments and broad applications for precision medicine. The majority of disease treatments still revolve around drugs and biologics. Although food is consumed in much higher quantities, we understand very little about how the human body metabolizes and uses the full range of nutrients, or how these processes affect human health and disease risk. Nutrient composition databases are used by dietitians to describe common consumer food products, but these fail to identify chemicals with the same nomenclature as metabolic pathways in basic life sciences research and with far less precision. Consumer-oriented nutrient compositions often describe generic substances (e.g. Sugars) while scientific reporting is often much more specific (e.g. Dextrose, Fructose, etc.). Integrating these two fields of research presents a difficult challenge for novel applications of precision nutrition. DATA DESCRIPTION: This data set provides a manually curated collection of nutrient identifiers from the USDA’s Nutrition Data Bases and maps them to PubChem (a resource for cheminformatics and drug discovery research), biomedical literature records in PubMed using Medical Subject Headings, biological pathways using the Chemical Entities of Biological Interest ontology. |
format | Online Article Text |
id | pubmed-6292072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62920722018-12-17 Connecting nutrition composition measures to biomedical research Jay, Jeremy J. Sanders, Alexa Reid, Robert W. Brouwer, Cory R. BMC Res Notes Data Note OBJECTIVES: Biomedical research is gaining ground on human disease through many types of “omics”, which is leading to increasingly effective treatments and broad applications for precision medicine. The majority of disease treatments still revolve around drugs and biologics. Although food is consumed in much higher quantities, we understand very little about how the human body metabolizes and uses the full range of nutrients, or how these processes affect human health and disease risk. Nutrient composition databases are used by dietitians to describe common consumer food products, but these fail to identify chemicals with the same nomenclature as metabolic pathways in basic life sciences research and with far less precision. Consumer-oriented nutrient compositions often describe generic substances (e.g. Sugars) while scientific reporting is often much more specific (e.g. Dextrose, Fructose, etc.). Integrating these two fields of research presents a difficult challenge for novel applications of precision nutrition. DATA DESCRIPTION: This data set provides a manually curated collection of nutrient identifiers from the USDA’s Nutrition Data Bases and maps them to PubChem (a resource for cheminformatics and drug discovery research), biomedical literature records in PubMed using Medical Subject Headings, biological pathways using the Chemical Entities of Biological Interest ontology. BioMed Central 2018-12-12 /pmc/articles/PMC6292072/ /pubmed/30541615 http://dx.doi.org/10.1186/s13104-018-3997-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Data Note Jay, Jeremy J. Sanders, Alexa Reid, Robert W. Brouwer, Cory R. Connecting nutrition composition measures to biomedical research |
title | Connecting nutrition composition measures to biomedical research |
title_full | Connecting nutrition composition measures to biomedical research |
title_fullStr | Connecting nutrition composition measures to biomedical research |
title_full_unstemmed | Connecting nutrition composition measures to biomedical research |
title_short | Connecting nutrition composition measures to biomedical research |
title_sort | connecting nutrition composition measures to biomedical research |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292072/ https://www.ncbi.nlm.nih.gov/pubmed/30541615 http://dx.doi.org/10.1186/s13104-018-3997-y |
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