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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.
Afiliación
  • Kyle JE; Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
  • Stratton KG; Computing and Analytics Division, National Security Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
  • Zink EM; Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
  • Kim YM; Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
  • Bloodsworth KJ; Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
  • Monroe ME; Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
  • Waters KM; Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
  • Webb-Robertson BM; Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
  • Koeller DM; Molecular and Medical Genetics, School of Medicine, Oregon Health and Science University, Portland, OR, 97239, USA. koellerd@ohsu.edu.
  • Metz TO; Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA. thomas.metz@pnnl.gov.
Sci Data ; 8(1): 114, 2021 04 21.
Article en En | MEDLINE | ID: mdl-33883556
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Metabolómica / Lipidómica / Enfermedades no Diagnosticadas / Enfermedades Metabólicas Idioma: En Revista: Sci Data Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Metabolómica / Lipidómica / Enfermedades no Diagnosticadas / Enfermedades Metabólicas Idioma: En Revista: Sci Data Año: 2021 Tipo del documento: Article