Summary of Study ST001151
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 PR000770. The data can be accessed directly via it's Project DOI: 10.21228/M8509V This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Study ID | ST001151 |
Study Title | 4-day dietary effect of fast food vs Mediterranean diet to HDL lipidome |
Study Type | Dietary intervention study |
Study Summary | In this randomized order cross-over study, ten healthy subjects consumed a Mediterranean (Med) and a fast food (FF) diet for 4 days, with a 4-day wash-out between treatments. Lipidomic composition was analyzed in isolated HDL fractions by an untargeted LC-MS method with 15 internal standards. HDL PE content was increased by FF diet, and 41 out of 170 lipid species were differentially affected by diet. Saturated fatty acids (FA) and odd chain FA were enriched after FF diet, while very-long chain FA and unsaturated FA were enriched after Med diet. The composition of PC, TG and CE were significantly altered to reflect the FA composition of the diet whereas the composition of SM and ceramides were generally unaffected, indicating that glycerolipids may be sensitive markers of dietary intake, whereas sphingolipids are more indicative of non-dietary factors. Results from this study indicate that the HDL lipidome is widely remodeled within 4 days of diet change and that certain lipid classes are more sensitive markers of diet whereas other lipid classes are better indicators of non-dietary factors |
Institute | University of California, Davis |
Department | Nutrition |
Laboratory | Zivkovic |
Last Name | Zivkovic |
First Name | Angela |
Address | 3402 Meyer hall, Davis, CA, 95616, USA |
amzivkovic@ucdavis.edu | |
Phone | +1(530)752-3973 |
Submit Date | 2019-03-14 |
Num Groups | 4 |
Total Subjects | 10 |
Num Males | 5 |
Num Females | 5 |
Raw Data Available | Yes |
Raw Data File Type(s) | d |
Analysis Type Detail | LC-MS |
Release Date | 2019-09-23 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
Analysis ID | AN001899 |
---|---|
Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Waters Acquity |
Column | Waters Acquity CSH C18 (100 x 2.1mm,1.7um) |
MS Type | ESI |
MS instrument type | QTOF |
MS instrument name | Agilent 6550 QTOF |
Ion Mode | NEGATIVE |
Units | ug/ml |
MS:
MS ID: | MS001755 |
Analysis ID: | AN001899 |
Instrument Name: | Agilent 6550 QTOF |
Instrument Type: | QTOF |
MS Type: | ESI |
MS Comments: | Data are analyzed in a four-stage process. First, raw data are processed in an untargeted (qualitative) manner by Agilent’s software MassHunter Qual to find peaks in up to 300 chromatograms. Peak features are then imported into MassProfilerProfessional for peak alignments to seek which peaks are present in multiple chromatograms, using exclusion criteria by the minimum percentage of chromatograms in which these peaks are positively detected. We usually use 30% as minimum criterion. In a tedious manual process, these peaks are then collated and constrained into a MassHunter quantification method on the accurate mass precursor ion level, using the MS/MS information and the LipidBlast library to identify lipids with manual confirmation of adduct ions and spectral scoring accuracy. MassHunter enables back-filling of quantifications for peaks that were missed in the primary peak finding process, hence yielding data sets without missing values. |
Ion Mode: | NEGATIVE |