Summary of Study ST001946

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 PR001233. The data can be accessed directly via it's Project DOI: 10.21228/M8B99H This work is supported by NIH grant, U2C- DK119886.

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Study IDST001946
Study TitleBipolar disorder metabolomics analysis using FiehnLib and GMD for curation
Study TypeUntargeted GC analysis
Study SummaryIn this study we analyzed the blood serum from 14 controls and 14 BD patients using GC-MS under the conditions required for the use of FiehnLib library with GMD as secondary library for curation on a untargeted metabolomics approach
Institute
University of Campinas
DepartmentChemistry Institute, Department of Analytical Chemistry
LaboratoryLaboratory of Bioanalytics and Integrated Omics (LaBIOmics)
Last NameRibeiro
First NameHenrique
AddressRua Sérgio Buarque de Holanda,s/n
Emailhcarachoribeiro@gmail.com
Phone+55 19 3521 3018
Submit Date2021-10-11
Num Groups2
Total Subjects28
Num Males11
Num Females17
Raw Data AvailableYes
Raw Data File Type(s)cdf
Analysis Type DetailGC-MS
Release Date2021-11-04
Release Version1
Henrique Ribeiro Henrique Ribeiro
https://dx.doi.org/10.21228/M8B99H
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN003168
Analysis type MS
Chromatography type GC
Chromatography system HP/Agilent 5890 Series II
Column HP5-MS (30m x 0.25mm x 0.25um) + Duragard precolumn (10m)
MS Type EI
MS instrument type Single quadrupole
MS instrument name HP 5970 Series Quadrupole Mass Selective Detector
Ion Mode UNSPECIFIED
Units Intensities after normalization by Internal standard and log2 transformed

MS:

MS ID:MS002946
Analysis ID:AN003168
Instrument Name:HP 5970 Series Quadrupole Mass Selective Detector
Instrument Type:Single quadrupole
MS Type:EI
MS Comments:The GC-MS conditions were the same as required to use the FiehnLib library (Kind et al., 2009). The data obtained were exported as ‘.AIA’ format in GC Chemstation then transformed in ‘.d’ using Agilent GC-MS translator and finally converted in ‘.abf’ format using MS-DIAL ABF file converter. The ‘.abf’ files were then analyzed in MS-DIAL (version 4.16) for peak picking, deconvolution and peak identification. The peak table containing the identifications from FiehnLib and the respective intensities in total ion chromatogram (TIC) from each metabolite were exported and analyzed using R statistical programming language (version 3.60) to evaluate the relative standard deviations (RSD) from each metabolite on the QC samples. Metabolites with RSD > 30 % were discarded due to excessive deviation through the batch. We opted to perform a second curation of the identifications using Golm Metabolite Database (GMD) since was observed a deviation of ± 0.2 minutes on the identifications comparing to the value shown in the library, caused possibly by the equipment. Metabolites that presented inconsistencies between both platforms were considered unknown, where some of these were just identified by their functional groups using one of GMD functionalities.
Ion Mode:UNSPECIFIED
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