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.

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.

scholarly journals No evidence for differential gene expression in major depressive disorder PBMCs, but robust evidence of elevated biological ageing.

2020 ◽  
Author(s):  
John J Cole ◽  
Alison McColl ◽  
Robin Shaw ◽  
Mary-Ellen Lynall ◽  
Philip J Cowen ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Peripheral Blood Mononuclear Cells ◽  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Clinical Sample ◽  
Major Depressive ◽  
Peripheral Blood Mononuclear ◽  
Biological Ageing ◽  
Blood Mononuclear Cells

Background The increasingly compelling data supporting the involvement of immunobiological mechanisms in Major Depressive Disorder (MDD) might provide some explanation of the variance in this heterogeneous condition. Peripheral blood measures of cytokines and chemokines constitute the bulk of evidence with consistent meta-analytic data implicating raised proinflammatory cytokines such as IL6, IL1β and TNF. Among the potential mechanisms linking immunobiological changes to affective neurobiology is the accelerated biological ageing seen in MDD, particularly via the senescence associated secretory phenotype (SASP). However, the cellular source of immunobiological markers remains unclear. Aims Pre-clinical evidence suggests a role for peripheral blood mononuclear cells (PBMC), thus here we aimed to explore the transcriptomic profile using RNA sequencing in PBMCs in a clinical sample of people with various levels of depression and treatment response comparing it with that in healthy controls (HCs). Method Transcriptomic analysis of peripheral blood mononuclear cells. Results The data showed no robust signal differentiating MDD and HCs. There was, however, significant evidence of elevated biological ageing in MDD vs HC. Conclusions Future work should endeavour to expand clinical sample sizes and reduce clinical heterogeneity. The exploration of RNA-seq signatures in other leukocyte populations and advances in RNA sequencing at the level of the single cell may help uncover more subtle differences. However, currently the subtlety of any PBMC signature mitigates against its convincing use as a diagnostic or predictive biomarker.

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.

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