Summary of Study ST002081

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001321. The data can be accessed directly via it's Project DOI: 10.21228/M8ZM5P This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002081
Study TitleDynamic Lipidome Alterations Associated with Human Health, Disease, and Aging
Study SummaryLipids comprise a complex mixture of molecules that play central but undercharacterized roles across a wide range of functions such as cell membrane maintenance, energy management, and cell signaling. Here, we describe a comprehensive longitudinal lipidomic profiling approach aiming to provide new physiological insights into aging, diabetes, inflammation, and cytokine regulations. By profiling the plasma lipidome to a depth of more than 800 lipid species across 1,546 samples collected from 109 subjects spanning up to 9 years (3.2 average), we identified a myriad of dysregulated lipid species highly associated with transitions from health to disease. Our data suggest distinct physiological roles of complex lipid subclasses including large and small triacylglycerols (TAG), ester- and ether-linked phosphatidylethanolamines (PE), lysophosphatidylcholines (LPC), and lysophosphatidylethanolamine (LPE). The dynamic changes in the plasma lipidome under the conditions of respiratory viral infections, insulin resistance (IR), and aging indicate a putative role of these different lipids in regulating immune homeostasis in health as well as in acute and chronic inflammation. Moreover, metabolically unhealthy subjects diagnosed with IR show (1) disturbed immune homeostasis and differences in specific lipid-clinical measure associations, (2) altered dynamics for particular complex lipids including TAGs, LPCs PEs, and PCs in response to acute infections, and (3) elevated levels of complex lipids such as TAGs and CEs and accelerated aging, highlighting the importance of context specific interpretation of lipid profiles. Overall, our study exemplifies the power of deep and quantitative lipidomics profiling in conjunction with other omics measures to provide new insights into lipidome dynamics in health and disease.
Institute
Stanford University
Last NameHornburg
First NameDaniel
AddressDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
Emaildaniel.dh.hornburg@gmail.com
Phone650-736-8099
Submit Date2022-10-13
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailMS(Dir. Inf.)
Release Date2023-05-05
Release Version1
Daniel Hornburg Daniel Hornburg
https://dx.doi.org/10.21228/M8ZM5P
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Sample Preparation:

Sampleprep ID:SP002808
Sampleprep Summary:Plasma samples were prepared and analyzed in a randomized order. Plasma was thawed on ice and lipids were extracted using a biphasic separation (ice-cold methanol, methyl tert-butyl ether (MTBE) and water). 260 µl of methanol and 40 ul spike-in standard (cat# 5040156, Sciex, Redwood City, CA, USA) were added to 40 µl of plasma and vortexed for 20 s. Lipids were extracted by adding 1,000 µl of MTBE and incubated under agitation for 30 min at 4°C. Phase separation was induced by adding 250 µl of ice-cold water, followed by vortexing for 1 min and centrifugation at 14,000 g for 15 min at 4°C. The upper phase containing the lipids was collected, dried down under nitrogen, stored at -20°C in 200 ul MeOH. The day of the mass spectrometry acquisition, lipids were dried down under nitrogen and reconstituted with 300 µl of 10 mM ammonium acetate in 9:1 methanol:toluene.
Processing Storage Conditions:-80℃
Extraction Method:MTBE
Extract Storage:-20℃
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