Summary of study ST000063

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 PR000059. The data can be accessed directly via it's Project DOI: 10.21228/M8V88F This work is supported by NIH grant, U2C- DK119886.

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Study IDST000063
Study TitleBiomarkers for Depression in Human Cerebrospinal Fluid in a Population Sample
Study Typebiomarker study
Study SummaryThis West Coast Metabolomics Center pilot and feasibility project was granted to Roel Ophoff (UC Los Angeles ) and Steve Horwath (UC Los Angeles ) . Major depressive disorder (MDD) is one of the most debilitating disorders in the United States with a 12-month prevalence of 6.7% in the adult population. The disorder affects millions of Americans daily and is a major health concern with enormous economic cost the society at large. Criteria for MDD diagnosis and treatment are based on various signs and symptoms not always fitting into strict diagnostic categories such as DSM-IV. Despite various known risk factors (such as family history, age, and gender), biological markers supporting diagnosis or prediction of MDD are unavailable. We have collected cerebrospinal fluid (CSF) and peripheral blood of more than 600 subjects from the general population. For each of the participants we also obtained biometric information as well as behavioral trait measures. One of the measures is the Beck Depression Inventory (BDI), a well-established questionnaire for measuring severity of depression. Based on the BDI, roughly 5% of participants suffer from severe depressive symptoms while most of these subjects are not under treatment or receiving any medication for depression   In the current investigation, untargeted analysis of primary metabolites was conducted on age and gender matched human cerebrospinal fluid (CSF) and plasma from subjects suffering with MDD ( n=50) and control subjects (n=50). Subjects were diagnosed as having MDD based on the Beck Depression Inventory. The primary objectives of this study were to 1) identify metabolites which discriminate between subjects with and without depression symptoms in the CSF and plasma and 2) how changes correlate between CSF and plasma. 
Institute
University of California, Davis
DepartmentGenome and Biomedical Sciences Facility
LaboratoryWCMC Metabolomics Core
Last NameFiehn
First NameOliver
Address1315 Genome and Biomedical Sciences Facility 451 Health Sciences Drive Davis, CA 95616
Emailofiehn@ucdavis.edu
Phone(530) 754-8258
Submit Date2014-06-11
Num Groups3
Total Subjects105
Study Comments2014-03-03 13:37:37.766
Raw Data AvailableYes
Raw Data File Type(s)binary files .peG,.cdf, .txt files
Uploaded File Size4.5 G
Analysis Type DetailGC-MS
Release Date2014-07-11
Release Version1
Oliver Fiehn Oliver Fiehn
https://dx.doi.org/10.21228/M8V88F
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR000059
Project DOI:doi: 10.21228/M8V88F
Project Title:Biomarkers for Depression in CSF and Plasma in a Population Sample
Project Type:biomarker study
Project Summary:This West Coast Metabolomics Center pilot and feasibility project was granted to Roel Ophoff (UC Los Angeles) and Steve Horwath (UC Los Angeles). Major depressive disorder (MDD) is one of the most debilitating disorders in the United States with a 12-month prevalence of 6.7% in the adult population. The disorder affects millions of Americans daily and is a major health concern with enormous economic cost the society at large. Criteria for MDD diagnosis and treatment are based on various signs and symptoms not always fitting into strict diagnostic categories such as DSM-IV. Despite various known risk factors (such as family history, age, and gender), biological markers supporting diagnosis or prediction of MDD are unavailable. We have collected cerebrospinal fluid (CSF) and peripheral blood of more than 600 subjects from the general population. For each of the participants we also obtained biometric information as well as behavioral trait measures. One of the measures is the Beck Depression Inventory (BDI), a well-established questionnaire for measuring severity of depression. Based on the BDI, roughly 5% of participants suffer from severe depressive symptoms while most of these subjects are not under treatment or receiving any medication for depression In the current investigation, untargeted analysis of primary metabolites was conducted on age and gender matched human cerebrospinal fluid (CSF) and plasma from subjects suffering with MDD ( n=50) and control subjects (n=50). Subjects were diagnosed as having MDD based on the Beck Depression Inventory. The primary objectives of this study were to 1) identify metabolites which discriminate between subjects with and without depression symptoms in the CSF and plasma and 2) how changes correlate between CSF and plasma.
Institute:University of California, Davis
Department:Genome and Biomedical Sciences Facility
Laboratory:WCMC Metabolomics Core
Last Name:Fiehn
First Name:Oliver
Address:1315 Genome and Biomedical Sciences Facility,451 Health Sciences Drive, Davis, CA 95616
Email:ofiehn@ucdavis.edu
Phone:(530) 754-8258
Funding Source:NIH U24DK097154
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