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1.
BMC Syst Biol ; 7: 80, 2013 Aug 20.
Article in English | MEDLINE | ID: mdl-23962043

ABSTRACT

BACKGROUND: Post-traumatic stress disorder (PTSD) is a severe anxiety disorder that affects a substantial portion of combat veterans and poses serious consequences to long-term health. Consequently, the identification of diagnostic and prognostic blood biomarkers for PTSD is of great interest. Previously, we assessed genome-wide gene expression of seven brain regions and whole blood in a social defeat mouse model subjected to various stress conditions. RESULTS: To extract biological insights from these data, we have applied a new computational framework for identifying gene modules that are activated in common across blood and various brain regions. Our results, in the form of modular gene networks that highlight spatial and temporal biological functions, provide a systems-level molecular description of response to social stress. Specifically, the common modules discovered between the brain and blood emphasizes molecular transporters in the blood-brain barrier, and the associated genes have significant overlaps with known blood signatures for PTSD, major depression, and bipolar disease. Similarly, the common modules specific to the brain highlight the components of the social defeat stress response (e.g., fear conditioning pathways) in each brain sub-region. CONCLUSIONS: Many of the brain-specific genes discovered are consistent with previous independent studies of PTSD or other mental illnesses. The results from this study further our understanding of the mechanism of stress response and contribute to a growing list of diagnostic biomarkers for PTSD.


Subject(s)
Brain/metabolism , Interpersonal Relations , Stress Disorders, Post-Traumatic/blood , Stress Disorders, Post-Traumatic/metabolism , Animals , Biomarkers/blood , Biomarkers/metabolism , Gene Expression Regulation , Mice , Models, Animal , Stress Disorders, Post-Traumatic/genetics , Time Factors
2.
Int J Mol Epidemiol Genet ; 2(1): 78-94, 2011 Jan 01.
Article in English | MEDLINE | ID: mdl-21537405

ABSTRACT

We investigated associations of early pregnancy maternal peripheral blood gene expression with preeclampsia. In a nested case control study, gene expression of peripheral blood, collected at 16weeks of gestation on average from 16 women destined to develop preeclampsia and 16 women who had normotensive pregnancies was profiled using Affymetrix GeneChip Arrays. Fold change and Student's T-test analyses were used to compare differential gene expression across the groups. Functions and functional relationships as well as common regulatory sequences of differentially expressed genes were investigated. Genes participating in abnormal placentation (e.g COL1A1), immune/inflammation response (e.g. IKBKB) and cellular development (including cell cycle) (e.g. RBI) were differentially expressed in early pregnancy peripheral blood in preeclampsia. We identified transcription factors (i.e. Sp1, MAZ and MZF1) that may account for co-expression of differentially expressed genes. Preeclampsia is associated with differential gene expression in early pregnancy peripheral blood.

3.
BMC Pregnancy Childbirth ; 9: 56, 2009 Dec 10.
Article in English | MEDLINE | ID: mdl-20003277

ABSTRACT

BACKGROUND: Preterm delivery (PTD) is a significant public health problem associated with greater risk of mortality and morbidity in infants and mothers. Pathophysiologic processes that may lead to PTD start early in pregnancy. We investigated early pregnancy peripheral blood global gene expression and PTD risk. METHODS: As part of a prospective study, ribonucleic acid was extracted from blood samples (collected at 16 weeks gestational age) from 14 women who had PTD (cases) and 16 women who delivered at term (controls). Gene expressions were measured using the GeneChip(R) Human Genome U133 Plus 2.0 Array. Student's T-test and fold change analysis were used to identify differentially expressed genes. We used hierarchical clustering and principle components analysis to characterize signature gene expression patterns among cases and controls. Pathway and promoter sequence analyses were used to investigate functions and functional relationships as well as regulatory regions of differentially expressed genes. RESULTS: A total of 209 genes, including potential candidate genes (e.g. PTGDS, prostaglandin D2 synthase 21 kDa), were differentially expressed. A set of these genes achieved accurate pre-diagnostic separation of cases and controls. These genes participate in functions related to immune system and inflammation, organ development, metabolism (lipid, carbohydrate and amino acid) and cell signaling. Binding sites of putative transcription factors such as EGR1 (early growth response 1), TFAP2A (transcription factor AP2A), Sp1 (specificity protein 1) and Sp3 (specificity protein 3) were over represented in promoter regions of differentially expressed genes. Real-time PCR confirmed microarray expression measurements of selected genes. CONCLUSIONS: PTD is associated with maternal early pregnancy peripheral blood gene expression changes. Maternal early pregnancy peripheral blood gene expression patterns may be useful for better understanding of PTD pathophysiology and PTD risk prediction.


Subject(s)
Gene Expression Profiling , Premature Birth/genetics , RNA/blood , RNA/genetics , Reverse Transcriptase Polymerase Chain Reaction , Adult , Case-Control Studies , Female , Humans , Pilot Projects , Polymerase Chain Reaction , Pregnancy , Premature Birth/blood , Premature Birth/prevention & control , RNA, Messenger/genetics , Sensitivity and Specificity
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