A metabolomics-based approach for ranking the depressive level in a chronic unpredictable mild stress rat model

RSC Advances ◽  
2016 ◽  
Vol 6 (31) ◽  
pp. 25751-25765 ◽  
Author(s):  
Xinyu Yu ◽  
Shanlei Qiao ◽  
Di Wang ◽  
Jiayong Dai ◽  
Jun Wang ◽  
...  
Keyword(s):  
Animal Model ◽  
Major Depressive Disorder ◽  
Prefrontal Cortex ◽  
Depressive Disorder ◽  
Rat Model ◽  
Untargeted Metabolomics ◽  
Mild Stress ◽  
Chronic Unpredictable Mild Stress ◽  
Major Depressive ◽  
Metabolomics Study

An untargeted metabolomics study to investigate the metabolome change in plasma, hippocampus and prefrontal cortex (PFC) in an animal model with a major depressive disorder (MDD) had been conducted.

Peripheral blood mononuclear cell-based metabolomic profiling of a chronic unpredictable mild stress rat model of depression

2014 ◽  
Vol 10 (11) ◽  
pp. 2994-3001 ◽  
Author(s):  
Juan Li ◽  
Ge Tang ◽  
Ke Cheng ◽  
Deyu Yang ◽  
Guanghui Chen ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Peripheral Blood Mononuclear Cell ◽  
Depressive Disorder ◽  
Rat Model ◽  
Peripheral Blood ◽  
Mild Stress ◽  
Chronic Unpredictable Mild Stress ◽  
Major Depressive ◽  
Peripheral Blood Mononuclear ◽  
Metabolomic Profiling

Major depressive disorder (MDD) is a debilitating mood disorder with various etiopathological hypotheses.

scholarly journals Molecular mechanism of reward treatment ameliorating chronic stress-induced depressive-like behavior assessed by sequencing miRNA and mRNA in medial prefrontal cortex

2020 ◽  
Author(s):  
Tingting An ◽  
Zhenhua Song ◽  
Jin-Hui Wang
Keyword(s):  
Major Depressive Disorder ◽  
Prefrontal Cortex ◽  
Depressive Disorder ◽  
Molecular Mechanism ◽  
Chronic Stress ◽  
Medial Prefrontal Cortex ◽  
Differentially Expressed ◽  
Mild Stress ◽  
Major Depressive ◽  
Differentially Expressed Mirnas

Abstract Background Major depressive disorder (MDD) is a disease that seriously endangers human health and mental state. Chronic stress and lack of reward may reduce the function of the brain's reward circuits, leading to major depressive disorder. The effect of reward treatment on chronic stress-induced depression-like behaviors and its molecular mechanism in the brain remain unclear.Methods Mice were divided into the groups of control, chronic unpredictable mild stress (CUMS), and CUMS-companion. Mice of CUMS group was performed by CUMS for 4 weeks, and CUMS-companion group was treated by CUMS accompanied with companion. The tests of sucrose preference, Y-maze, and forced swimming were conducted to assess depression-like behaviors or resilience. High-throughput sequencing was used to analyze mRNA and miRNA profiles in the medial prefrontal cortex harvested from control, CUMS-MDD (mice with depression-like behaviors in CUMS group), Reward-MDD (mice with depression-like behaviors in CUMS-companion group), CUMS-resilience (resilient mice in CUMS group), Reward-resilience (resilient mice in CUMS-companion group) mice.Results The results provided evidence that accompanying with companion ameliorated CUMS-induced depression-like behaviors in mice. 45 differentially expressed genes (DEGs) are associated with depression-like behaviors, 8 DEGs are associated with resilience and 59 DEGs are associated with nature reward (companion) were identified. Furthermore, 196 differentially expressed miRNAs were found to be associated with companion. Based on the differentially expressed miRNAs and DEGs data, miRNA-mRNA network was established to be associated with companion.Conclusion Taken together, our data here provided a method to ameliorate depression-like behaviors, and numerous potential drug targets for the prevention or treatment of depression.

scholarly journals Urine proteome changes in a chronic unpredictable mild stress (CUMS) mouse model of major depressive disorder

2020 ◽  
Author(s):  
Yuhang Huan ◽  
Jing Wei ◽  
Tong Su ◽  
Youhe Gao
Keyword(s):  
Major Depressive Disorder ◽  
Mouse Model ◽  
Depressive Disorder ◽  
Mild Stress ◽  
Chronic Unpredictable Mild Stress ◽  
Major Depressive ◽  
Urine Proteome ◽  
Random Combination ◽  
Differential Proteins ◽  
Proteome Changes

AbstractBackgroundMajor depressive disorder (MDD) is a prevalent complex psychiatric disorder with a high prevalence rate. Because MDD is a systemic multifactorial disorder involving complex interactions and disturbances of various molecular pathways, there are no effective biomarkers for clinical diagnosis. Urine is not subjected to homeostatic control, allowing it to reflect the sensitive and comprehensive changes that occur in various diseases. In this study, we examined the urine proteome changes in a CUMS mouse model of MDD.MethodsMale C57BL/6 mice were subjected to chronic unpredictable mild stress for 5 weeks. The tail suspension test (TST) and sucrose consumption test (SCT) were then applied to evaluate depression-like behaviors. The urine proteomes on day 0 and day 36 in the CUMS group were profiled by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS).ResultsA total of 45 differential proteins were identified, 24 of which have been associated with the pathogenic mechanisms of MDD, while 10 proteins have been previously suggested as MDD biomarkers. There was an average of two differential proteins that were identified through 1048574 random combination statistical analyses, indicating that at least 95% of the differential proteins were reliable and not the result of random combination. The differential proteins were mainly associated with blood coagulation, inflammatory responses and central nervous system development.ConclusionsOur preliminary results indicated that the urine proteome can reflect changes associated with MDD in the CUMS model, which provides potential clues for the diagnosis of clinical MDD patients.

Prefrontal cortex function in remitted major depressive disorder

2012 ◽  
Vol 43 (6) ◽  
pp. 1219-1230 ◽  
Author(s):  
N. L. Nixon ◽  
P. F. Liddle ◽  
G. Worwood ◽  
M. Liotti ◽  
E. Nixon
Keyword(s):  
Major Depressive Disorder ◽  
Prefrontal Cortex ◽  
Depressive Disorder ◽  
Negative Feedback ◽  
Affective State ◽  
Recurrence Risk ◽  
Anterior Cingulate ◽  
Major Depressive ◽  
Negative Experience

BackgroundRecent models of major depressive disorder (MDD) have proposed the rostral anterior cingulate (rACC) and dorsomedial prefrontal cortex (dmPFC) as nexus sites in the dysfunctional regulation of cognitive-affective state. Limited evidence from remitted-state MDD supports these theories by suggesting that aberrant neural activity proximal to the rACC and the dmPFC may play a role in vulnerability to recurrence/relapse within this disorder. Here we present a targeted analysis assessing functional activity within these two regions of interest (ROIs) for groups with identified vulnerability to MDD: first, remitted, high predicted recurrence-risk patients; and second, patients suffering observed 1-year recurrence.MethodBaseline T2* images sensitive to blood oxygen level-dependent (BOLD) contrast were acquired from patients and controls during a Go/No-Go (GNG) task incorporating negative feedback, with 1-year patient follow-up to identify recurrence. BOLD contrast data for error commission (EC) and visual negative feedback (VNF) were used in an ROI analysis based on rACC and dmPFC coordinates from the literature, comparing patientsversuscontrols and recurrenceversusnon-recurrenceversuscontrol groups.ResultsAnalysis of patients (n = 20)versuscontrols (n = 20) showed significant right dmPFC [Brodmann area (BA) 9] hypoactivity within the patient group, co-localized during EC and VNF, with additional significant rACC (BA 32) hypoactivity during EC. The results from the follow-up analysis were undermined by small groups and potential confounders but suggested persistent right dmPFC (BA 9) hypoactivity associated with 1-year recurrence.ConclusionsConvergent hypoactive right dmPFC (BA 9) processing of VNF and EC, possibly impairing adaptive reappraisal of negative experience, was associated most clearly with clinically predicted vulnerability to MDD.

scholarly journals Structural and Functional Abnormities of Amygdala and Prefrontal Cortex in Major Depressive Disorder With Suicide Attempts

2020 ◽  
Vol 10 ◽  
Author(s):  
Lifei Wang ◽  
Yimeng Zhao ◽  
Elliot K. Edmiston ◽  
Fay Y. Womer ◽  
Ran Zhang ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Prefrontal Cortex ◽  
Depressive Disorder ◽  
Suicide Attempts ◽  
Major Depressive
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