Gene expression analysis of neuropathic pain-induced depression in the anterior cingulate cortex of mice
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE92718 | GEO | 2019/12/11
REPOSITORIES: GEO
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Project description:While depression and chronic pain are frequently comorbid, underlying neuronal circuits, and their relevance for the understanding of psychopathology, remain poorly defined. Here we show in mice that hyperactivity of the neuronal pathway linking the basolateral amygdala to the anterior cingulate cortex is essential for chronic pain-induced depression. In naive male mice, we demonstrate that activation of this pathway is sufficient to trigger depressive-like behaviors, as well as transcriptomic alterations that recapitulate core molecular features of depression in the human brain. These alterations notably impact gene modules related to myelination and the oligodendrocyte lineage. Among these, we show that Sema4a, a hub gene significantly upregulated in both male mice and humans in the context of altered mood, is necessary for the emergence of depressive-like behaviors. Overall, these results place the BLA-ACC pathway at the core of pain and depression comorbidity, and unravel the role of impaired myelination and Sema4a in mood control.
2023-04-26 | GSE227159 | GEO
Project description:Neuropathic pain is a troublesome pathological condition without suitable treatments. In this study, we performed RNA sequencing (RNA-seq) analysis to reveal transcriptomic profiles of Anterior Cingulate Cortex (ACC) from chronic constriction injury (CCI) rats. We found 1628 differentially expressed genes (DEGs) were mainly involved in the inflammatory and immune process. Besides, cytokine signaling and other cell-defense related pathways mainly contribute to the occurrence and development of neuropathic pain. Then we classified the DEGs based on the time trend. Our results suggested that chemokines played a vital role in pain, and moreover, CCL5, CXCL9 and CXCL13, compared with CCL2, CCL3, CCL4, CCL6 and CCL7 had different time-dependent manners. In a word, targeting chemokines is of great significance to explore specific mechanisms and develop suitable drugs for neuropathic pain.
2022-04-05 | GSE172133 | GEO
Project description:Neuropathic pain is a chronic debilitating condition with a high comorbidity with depression. Clinical reports and animal studies have suggested that both the medial prefrontal cortex (mPFC) and the anterior cingulate cortex (ACC) are critically implicated in regulating the affective symptoms of neuropathic pain. Neuropathic pain induces long-term structural, functional and biochemical changes in both regions, which are thought to be regulated by multiple waves of gene transcription. However, the similarity and differences in the transcriptomic profiles changed by neuropathic pain between these regions are largely unknown. Furthermore, women are more susceptible to pain and depression than men. The molecular mechanisms underlying this sexual dimorphism remain to be explored. Here, we performed RNA sequencing and analyzed the transcriptomic profiles of the mPFC and ACC of female and male mice at 2 weeks after spared nerve injury (SNI), an early time point when the mice began to show mild depressive symptoms. Our results show that the SNI-induced transcriptomic changes in female and male mice are largely distinct. Interestingly, the female mice exhibit more robust transcriptomic changes in the ACC than male, whereas the opposite pattern occurs in the mPFC. Cell type enrichment analyses reveal that the differentially expressed genes involve genes enriched in both neurons and various types of glia. We further performed Gene Set Enrichment Analysis (GSEA), which reveal significant de-enrichment of myelin sheath development in both female and male mPFC after SNI. In the female ACC, gene sets for synaptic organization and mitochondria function are enriched, and gene sets for extracellular matrix are de-enriched after SNI, while such signatures are absent in male ACC. Collectively, these findings reveal sexual dimorphism at the transcriptional level induced by neuropathic pain, and provide novel therapeutic targets for chronic pain and its associated affective disorders.
2022-04-03 | GSE197233 | GEO
Project description:Chronic pain is a persistent unpleasant sensation that produces pathological synaptic plasticity in the central nervous system. Some of the studies demonstrate that the anterior cingulate cortex (ACC) is a critical area for nociceptive and chronic pain processing. Our previous study revealed that animal models of chronic pain alter excitatory and inhibitory synaptic transmission in the ACC. However, it is not clear what molecules are involved in the alterations of synaptic plasticity in the ACC of chronic pain models. To identify genes with altered expression in the ACC of a chronic pain model, whole transcriptome analysis were performed. In addition to the ACC, whole transcriptome analysis was also performed in the hippocampus, a brain region that has not been reported to be associated with chronic pain. Complete freund's adjuvant (CFA, Sigma-Aldrich, #F5881) into the left hind paw was used for induce chronic inflammatory pain in this study.
2021-04-01 | GSE147216 | GEO
Project description:human UMB4727 posterior cingulate cortex For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_Users_03-07-14.pdf
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Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 20 total samples in 10 pairs were analyzed in postmortem tissue from the anterior cingulate cortex.
2014-05-16 | E-GEOD-54562 | biostudies-arrayexpress
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 50 total samples in 25 pairs were analyzed in postmortem tissue from the anterior cingulate cortex.
2014-05-16 | E-GEOD-54563 | biostudies-arrayexpress
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 32 total samples in 16 pairs were analyzed in postmortem tissue from the anterior cingulate cortex.
2014-05-16 | E-GEOD-54565 | biostudies-arrayexpress
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 26 total samples in 13 pairs were analyzed in postmortem tissue from the anterior cingulate cortex.
2014-05-16 | E-GEOD-54571 | biostudies-arrayexpress
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 24 total samples in 12 pairs were analyzed in postmortem tissue from the anterior cingulate cortex.
2014-05-16 | E-GEOD-54572 | biostudies-arrayexpress