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A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases
Every year individuals experience symptoms that remain undiagnosed by healthcare providers. In the United States, these rare diseases are defined as a condition that affects fewer than 200,000 individuals. However, there are an estimated 7000 rare diseases, and there are an estimated 25–30 million A...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060404/ https://www.ncbi.nlm.nih.gov/pubmed/33883556 http://dx.doi.org/10.1038/s41597-021-00894-y |
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author | Kyle, Jennifer E. Stratton, Kelly G. Zink, Erika M. Kim, Young-Mo Bloodsworth, Kent J. Monroe, Matthew E. Waters, Katrina M. Webb-Robertson, Bobbie-Jo M. Koeller, David M. Metz, Thomas O. |
author_facet | Kyle, Jennifer E. Stratton, Kelly G. Zink, Erika M. Kim, Young-Mo Bloodsworth, Kent J. Monroe, Matthew E. Waters, Katrina M. Webb-Robertson, Bobbie-Jo M. Koeller, David M. Metz, Thomas O. |
author_sort | Kyle, Jennifer E. |
collection | PubMed |
description | Every year individuals experience symptoms that remain undiagnosed by healthcare providers. In the United States, these rare diseases are defined as a condition that affects fewer than 200,000 individuals. However, there are an estimated 7000 rare diseases, and there are an estimated 25–30 million Americans in total (7.6–9.2% of the population as of 2018) affected by such disorders. The NIH Common Fund Undiagnosed Diseases Network (UDN) seeks to provide diagnoses for individuals with undiagnosed disease. Mass spectrometry-based metabolomics and lipidomics analyses could advance the collective understanding of individual symptoms and advance diagnoses for individuals with heretofore undiagnosed disease. Here, we report the mass spectrometry-based metabolomics and lipidomics analyses of blood plasma, urine, and cerebrospinal fluid from 148 patients within the UDN and their families, as well as from a reference population of over 100 individuals with no known metabolic diseases. The raw and processed data are available to the research community so that they might be useful in the diagnoses of current or future patients suffering from undiagnosed disorders. |
format | Online Article Text |
id | pubmed-8060404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80604042021-05-05 A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases Kyle, Jennifer E. Stratton, Kelly G. Zink, Erika M. Kim, Young-Mo Bloodsworth, Kent J. Monroe, Matthew E. Waters, Katrina M. Webb-Robertson, Bobbie-Jo M. Koeller, David M. Metz, Thomas O. Sci Data Data Descriptor Every year individuals experience symptoms that remain undiagnosed by healthcare providers. In the United States, these rare diseases are defined as a condition that affects fewer than 200,000 individuals. However, there are an estimated 7000 rare diseases, and there are an estimated 25–30 million Americans in total (7.6–9.2% of the population as of 2018) affected by such disorders. The NIH Common Fund Undiagnosed Diseases Network (UDN) seeks to provide diagnoses for individuals with undiagnosed disease. Mass spectrometry-based metabolomics and lipidomics analyses could advance the collective understanding of individual symptoms and advance diagnoses for individuals with heretofore undiagnosed disease. Here, we report the mass spectrometry-based metabolomics and lipidomics analyses of blood plasma, urine, and cerebrospinal fluid from 148 patients within the UDN and their families, as well as from a reference population of over 100 individuals with no known metabolic diseases. The raw and processed data are available to the research community so that they might be useful in the diagnoses of current or future patients suffering from undiagnosed disorders. Nature Publishing Group UK 2021-04-21 /pmc/articles/PMC8060404/ /pubmed/33883556 http://dx.doi.org/10.1038/s41597-021-00894-y Text en © Battelle Memorial Institute 2021 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Kyle, Jennifer E. Stratton, Kelly G. Zink, Erika M. Kim, Young-Mo Bloodsworth, Kent J. Monroe, Matthew E. Waters, Katrina M. Webb-Robertson, Bobbie-Jo M. Koeller, David M. Metz, Thomas O. A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases |
title | A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases |
title_full | A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases |
title_fullStr | A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases |
title_full_unstemmed | A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases |
title_short | A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases |
title_sort | resource of lipidomics and metabolomics data from individuals with undiagnosed diseases |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060404/ https://www.ncbi.nlm.nih.gov/pubmed/33883556 http://dx.doi.org/10.1038/s41597-021-00894-y |
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