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Proteomic response of rat hippocampus under chronic unpredicted mild stress reveals insights into susceptibility and insensitivity to depression

ABSTRACT: We used a chronic unpredicted mild stress (CUMS) protocol to separate depression-susceptible and stress-insensitive rat subgroups. Differential proteomes in the hippocampus were analyzed based on isobaric tags for relative and absolute quantitation (iTRAQ) labeling combined with mass spectrometry.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Brain

SUBMITTER: Qing Tian

LAB HEAD: Qing Tian

PROVIDER: PXD025773 | Pride | 2022-02-17

REPOSITORIES: Pride

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Publications

Emodin Prevented Depression in Chronic Unpredicted Mild Stress-Exposed Rats by Targeting miR-139-5p/5-Lipoxygenase.

Zhang Teng T Yang Can C Chu Jiang J Ning Lin-Na LN Zeng Peng P Wang Xiao-Ming XM Shi Yan Y Qin Bao-Jian BJ Qu Na N Zhang Qi Q Tian Qing Q

Frontiers in cell and developmental biology 20210726

<h4>Background</h4>The use of medicinal plant ingredients is one of the goals of developing potential drugs for treating depression. Compelling evidence suggests that anti-inflammatory medicines may block the occurrence of depression. We studied the effect of a natural compound, emodin, on the development of psychosocial stress-induced depression and the underlying mechanisms.<h4>Methods</h4>Chronic unpredicted mild stress (CUMS) for 7 weeks was performed to replicate psychosocial stress in rats ...[more]

PMID: 34381778

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Low-dose Copper exposure exacerbates depression-like behavior in ApoE4 transgenic mice

Project description:Depression is one of the most common neuropsychiatric disorders. Although the pathogenesis of depression is still unknown, environmental risk factors and genetics are implicated. Copper (Cu), a cofactor of multiple enzymes, is involved in regulating depression-related processes. Depressed patients carrying the apolipoprotein ε4 allele display more severe depressive symptoms, indicating that ApoE4 is closely associated with an increased risk of depression. The study explored the effect of low-dose Cu (0.13 ppm) exposure and ApoE4 on depression-like behavior of mice and further investigate the possible mechanisms. The 4-month-old ApoE4 mice and wild-type (WT) mice were treated with 0.13 ppm CuCl2 for 4 months. After the treatment, ApoE4 mice displayed obvious depression-like behavior compared with the WT mice, and Cu exposure further exacerbated the depression-like behavior of ApoE4 mice. There was no significant difference in anxiety behavior (Open field test) and memory behavior (Morris water maze). Proteomic analysis revealed that the differentially expressed proteins between Cu-exposed and non-exposed ApoE4 mice were mainly involved in Ras signaling pathway, protein export, axon guidance, serotonergic synapse, GABAergic synapse, dopaminergic synapse. Among these differentially expressed proteins, immune response and synaptic function are highly correlated. Representative protein expression changes are quantified by Western blot, showing consistent results as determined by proteomic analysis. Hippocampal astrocytes and microglia were increased in Cu-exposed ApoE4 mice, suggesting that neuroglial cells played an important role in the pathogenesis of depression. Taken together, our study demonstrated that Cu exposure exacerbates depression-like behavior of ApoE4 mice and the mechanisms may involve the dysregulation of synaptic function and immune response, and overactivation of neuroinflammation.

2021-09-09 | PXD022422 | Pride

Cerebrospinal Fluid Proteomics of Aging Rats with Depression

Project description:Based on the proteomics of cerebrospinal fluid, this study aimed to explore the core pathway and potential targets of luteolin treatment on late-onset depression.

2023-03-11 | PXD038159 | Pride

Expression data from Chronic Unpredict Mild Stress-induced depression in GK rats‘ liver

Project description:To explored the mechanism of pharmacokinetic perturbation in chronic unpredicted mild stress (CUMS) resulting depression, CUMS-induced depression animal model with spontaneous diabetic GK rats were established. The expression profile in GK rats' livers were screened using Affymetrix Rat 230 2.0 Array.

2017-09-25 | GSE94988 | GEO

Stable isotope-resolved metabolomics reveals the abnormal brain glucose catabolism in depression based on chronic unpredictable mild stress rats

Project description:The severe harm of depression to human life has attracted great attention to neurologists, but its pathogenesis is extremely complicated and has not yet been fully elaborated. Here, we provided a new strategy for revealing the specific pathways of abnormal brain glucose catabolism in depression, which from the supply of energy substrates and the evaluation of mitochondrial structure and function. By using stable isotope-resolved metabolomics technique, we discovered the tricarboxylic acid cycle (TCA cycle) is blocked and the gluconeogenesis is abnormally activated in chronic unpredictable mild stress (CUMS) rats. In addition, our results showed an interesting phenomenon that the brain attempted to activate all possible metabolic enzymes in energy-producing pathways, but CUMS rats still exhibited a low TCA cycle activity due to impaired mitochondria. Depression caused mitochondrial structure and function impaired, and then led to abnormal brain glucose catabolism. The combination of the stable isotope-resolved metabolomics and mitochondrial structure and function analysis can accurately clarify the mechanism of depression. The mitochondrial pyruvate carrier and acetyl-CoA maybe the key targets for depression treatment. The strategy provides a unique insight for exploring the mechanism of depression, the discovery of new targets, and the development of ideal novel antidepressants.

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Circuit-wide transcriptional profiling reveals region specific gene co-expression networks regulating depression susceptibility

Project description:Depression is a complex and heterogeneous disorder and a leading contributor to the global burden of of disease. Most previous research has focused on individual brain regions and individual genes that contribute to depression. However, emerging evidence in both humans and animal models suggests that dysregulated circuit function and gene expression across multiple brain regions drive depressive phenotypes. Here we use a bioinformatics approach intersecting differential expression analysis with weighted gene co-expression network analysis to identify transcriptional networks that regulate susceptibility to depressive-like symptoms in mice. We performed RNA-sequencing on multiple brain regions from control animals and those either susceptible or resilient to chronic social defeat stress (CSDS) at multiple time points after defeat. We bioinformatically identified several transcriptional networks that regulate depression susceptibility, and in vivo manipulations of these networks confirmed their functional significance at the levels of gene transcription, synaptic regulation, and behavior. Our findings reveal novel transcriptional networks that control stress susceptibility and offer fundamentally new leads for antidepressant drug discovery.

2016-05-12 | GSE72343 | GEO

Krill oil treatment ameliorates lipid metabolism imbalance in chronic unpredicted mild stress-induced depression-like behavior in mice.

Project description:The deficiency of n-3 PUFAs in the brain and depressive symptoms are closely related. Krill oil contains abundant amounts of n-3 PUFAs incorporated in phosphatidylcholine.However, the effect of krill oil treatment on depression-like behaviors induced by chronic stress and its molecular mechanism in the brain remain poorly understood. Here, we used a chronic unpredictable mild stress (CUMS) model to evaluate the effect of krill oil on depression-like behaviors and explored its molecular mechanism through lipid metabolomics and mRNA profiles in the whole brain.

2023-07-19 | GSE237760 | GEO

Intersectional analysis of chronic mild stress-induced lncRNA-mRNA interaction networks in rat hippocampus reveals potential anti-depression/anxiety drug targets

Project description:Despite studies providing insight into the neurobiology of chronic stress, depression and anxiety, long noncoding RNA (lncRNA)-mediated mechanisms underlying the common and distinct pathophysiology of these stress-induced disorders remain nonconclusive. In a previous study, we used the chronic mild stress paradigm to separate depression-susceptible, anxiety-susceptible and insusceptible rat subpopulations. In the current study, lncRNA and messenger RNA (mRNA) expression was comparatively profiled in the hippocampus of the three stress groups using microarray technology. Groupwise comparisons identified distinct sets of lncRNAs and mRNAs associated with the three different behavioral phenotypes of the stressed rats. To investigate the regulatory roles of the dysregulated lncRNAs upon mRNA expression, correlations between the differential lncRNAs and mRNAs were first analyzed by combined use of weighted gene coexpression network analysis and ceRNA theory-based methods. Subsequent functional analysis of strongly correlated mRNAs indicated that the dysregulated lncRNAs were involved in various biological pathways and processes to specifically induce rat susceptibility or resiliency to depression or anxiety. Further intersectional analysis of phenotype-associated and drug-associated lncRNA-mRNA networks and subnetworks assisted in identifying 16 hub lncRNAs as potential targets of anti-depression/anxiety drugs. Collectively, our study established the molecular basis for understanding the similarities and differences in pathophysiological mechanisms underlying stress-induced depression or anxiety and stress resiliency, revealing several important lncRNAs that represent potentially new therapeutic drug targets for depression and anxiety disorders.

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Dissecting depression symptoms: multi-omics clustering uncovers immune-related subgroups and cell-type specific dysregulation

Project description:In a subset of patients with mental disorders, such as depression, low-grade inflammation and altered immune marker concentrations are observed. However, these immune alterations are often assessed by only one data type and small markers panels. Here, we used a transdiagnostic approach and combined data from two cohorts to define subgroups of depression symptoms across the diagnostic spectrum through a large-scale multi-omics clustering approach in 237 individuals. The method incorporated age, body mass index (BMI), 43 plasma immune markers and RNA-seq data from peripheral mononuclear blood cells (PBMCs). Our initial clustering revealed four clusters, including two immune-related depression symptom clusters characterized by elevated BMI, higher depression severity and elevated levels of immune markers such as interleukin-1 receptor antagonist (IL-1RA), C-reactive protein (CRP) and C-C motif chemokine 2 (CCL2 or MCP-1). In contrast, the RNA-seq data mostly differentiated a cluster with low depression severity, enriched in brain related gene sets. This cluster was also distinguished by electrocardiography data, while structural imaging data revealed differences in ventricle volumes across the clusters. Incorporating predicted cell type proportions into the clustering resulted in three clusters, with one showing elevated immune marker concentrations. The cell type proportion and genes related to cell types were most pronounced in an intermediate depression symptoms cluster, suggesting that RNA-seq and immune markers measure different aspects of immune dysregulation. Lastly, we found a dysregulation of the SERPINF1/VEGF-A pathway that was specific to dendritic cells by integrating immune marker and RNA-seq data. This shows the advantages of combining different data modalities and highlights possible markers for further stratification research of depression symptoms.

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Gene Expression Profiles Predict Postpartum-onset Depression Patients with Treatment-Resistant Depression Patients with Treatment-Resistant Depression

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Project description:Several studies have suggested that SSD is a transitory phenomena in the depression spectrum and is thus considered a subtype of depression. However, the pathophysioloy of depression remain largely obscure and studies on SSD are limited. The present study compared the expression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among drug-free first-episode subjects with SSD, MDD, and healthy controls. We used microarrays to detail the global programme of gene expression to develop blood-based gene expression profiles models for classification of subsyndromal symptomatic depression and major depressive disorder

2012-03-21 | GSE32280 | GEO

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