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Series GSE125216 Query DataSets for GSE125216
Status Public on Mar 15, 2019
Title Towards Precision Medicine for Stress Disorders: Diagnostic Biomarkers and Targeted Drugs ( Molecular Psychiatry, under review)
Organism Homo sapiens
Experiment type Expression profiling by array
Summary The biological fingerprint of environmental adversity may be key to understanding health and disease, as it encompasses the damage induced as well as the compensatory reactions of the organism. Metabolic and hormonal changes may be an informative but incomplete window into the underlying biology. We endeavored to identify objective blood gene expression biomarkers for psychological stress, a subjective sensation with biological roots. To quantify the stress perception at a particular moment in time, we used a simple visual analogue scale for life stress in psychiatric patients, a high risk group. Then, using a stepwise discovery, prioritization, validation, and testing in independent cohorts design, we were successful in identifying gene expression biomarkers that were predictive of high stress states, and of future psychiatric hospitalizations related to stress, more so when personalized by gender and diagnosis.
Overall design First, we used a powerful longitudinal within-subject design in individuals with psychiatric disorders to discover blood gene expression changes between self-reported low stress and high stress states. Second, we prioritized the list of candidate biomarkers with a Convergent Functional Genomics approach, comprehensively integrating previous published human and animal model evidence in the field, and directly citing it. Third, we validated our top biomarkers from discovery and prioritization in an independent cohort of psychiatric subjects with high scores on a clinical stress rating scale. Fourth, we tested if the candidate biomarkers from the first three steps are able to predict high stress state, and future psychiatric hospitalizations with stress, in another independent cohort of psychiatric subjects. We tested the biomarkers in all subjects in the independent test cohort, as well as in a more personalized fashion by gender and psychiatric diagnosis, showing increased accuracy with the personalized approach.
A. Independent Discovery Cohort (n=36) (91 visits)
B. Independent Validation Cohort with Clinically Severe Stress(n=48) (75 visits)
Contributor(s) Niculescu AB, Le-Niculescu H
Citation(s) 30862937
Submission date Jan 16, 2019
Last update date Mar 25, 2019
Contact name Dr. Alexander B. Niculescu
Phone 317-274-6544
Organization name Indiana University Medical School
Department Psychiatry
Lab Neuroscience Building Room 203
Street address 320 W. 15th Street
City Indianapolis
State/province IN
ZIP/Postal code 46202
Country USA
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (671)
GSM3565688 Participant ID and visit (v) # phchp052v2 Independent Discovery Cohort (n=36) (91 visits)
GSM3565689 Participant ID and visit (v) # phchp052v3 Independent Discovery Cohort (n=36) (91 visits)
GSM3565690 Participant ID and visit (v) # phchp109v1 Independent Discovery Cohort (n=36) (91 visits)
BioProject PRJNA515536

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE125216_RAW.tar 3.2 Gb (http)(custom) TAR (of CEL)
Raw data provided as supplementary file
Processed data included within Sample table

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