Skip to main content

A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases.

Publication ,  Journal Article
Kyle, JE; Stratton, KG; Zink, EM; Kim, Y-M; Bloodsworth, KJ; Monroe, ME; Undiagnosed Diseases Network, ; Waters, KM; Webb-Robertson, B-JM ...
Published in: Sci Data
April 21, 2021

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Sci Data

DOI

EISSN

2052-4463

Publication Date

April 21, 2021

Volume

8

Issue

1

Start / End Page

114

Location

England

Related Subject Headings

  • Young Adult
  • Undiagnosed Diseases
  • Middle Aged
  • Metabolomics
  • Metabolic Diseases
  • Mass Spectrometry
  • Male
  • Lipidomics
  • Infant, Newborn
  • Infant
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kyle, J. E., Stratton, K. G., Zink, E. M., Kim, Y.-M., Bloodsworth, K. J., Monroe, M. E., … Metz, T. O. (2021). A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases. Sci Data, 8(1), 114. https://doi.org/10.1038/s41597-021-00894-y
Kyle, Jennifer E., Kelly G. Stratton, Erika M. Zink, Young-Mo Kim, Kent J. Bloodsworth, Matthew E. Monroe, Matthew E. Undiagnosed Diseases Network, et al. “A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases.Sci Data 8, no. 1 (April 21, 2021): 114. https://doi.org/10.1038/s41597-021-00894-y.
Kyle JE, Stratton KG, Zink EM, Kim Y-M, Bloodsworth KJ, Monroe ME, et al. A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases. Sci Data. 2021 Apr 21;8(1):114.
Kyle, Jennifer E., et al. “A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases.Sci Data, vol. 8, no. 1, Apr. 2021, p. 114. Pubmed, doi:10.1038/s41597-021-00894-y.
Kyle JE, Stratton KG, Zink EM, Kim Y-M, Bloodsworth KJ, Monroe ME, Undiagnosed Diseases Network, Waters KM, Webb-Robertson B-JM, Koeller DM, Metz TO. A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases. Sci Data. 2021 Apr 21;8(1):114.

Published In

Sci Data

DOI

EISSN

2052-4463

Publication Date

April 21, 2021

Volume

8

Issue

1

Start / End Page

114

Location

England

Related Subject Headings

  • Young Adult
  • Undiagnosed Diseases
  • Middle Aged
  • Metabolomics
  • Metabolic Diseases
  • Mass Spectrometry
  • Male
  • Lipidomics
  • Infant, Newborn
  • Infant