Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA822941 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:DNA methylation profiles were generating using Illumina HM450 microarrays in a prospective sample blood from the prenatal period of pregnant mood disorder patients who would and would not develop depression post partum. We recruited 54 pregnant women with a history of either Major Depression or Bipolar Disorder (I, II or NOS) and prospectively followed them during pregnancy and after delivery in order to identify genetic and clinical characteristics that precede the development of a postpartum depressive episode. Blood samples profiled were collected at varying time points during pregnancy.
2013-05-24 | E-GEOD-44132 | biostudies-arrayexpress
Project description:Major depressive disorder is caused by gene-environment interactions and the gut microbiota plays a pivotal role in the development of depression. However, the mechanisms by which the gut microbiota modulates depression remain elusive. Herein, we detected the differentially expressed hippocampal long non-coding RNAs (lncRNAs), messenger RNAs (mRNAs) and microRNAs (miRNAs) between mice inoculated with gut microbiota from major depressive disorder patients or healthy controls, to identify the effects of gut microbiota-dysbiosis on gene regulation patterns at the transcriptome level. We also performed functional analysis to explore the microbial-regulated pathological mechanisms of depression. Two hundred mRNAs, 358 lncRNAs and 4 miRNAs were differentially expressed between the two groups. Functional analysis of these differentially expressed mRNAs indicated dysregulated inflammatory response to be the primary pathological change. Intersecting the differentially expressed mRNAs with targets of differentially expressed miRNAs identified 47 intersected mRNAs, which were mainly related to neurodevelopment. Additionally, we constructed a microbial-regulated lncRNA-miRNA-mRNA network based on RNA-RNA interactions. According to the competitive endogenous RNA hypothesis, two neurodevelopmental ceRNA sub-networks implicating in depression were identified. This study provides new understanding of the pathogenesis of depression induced by gut microbiota-dysbiosis and may act as a theoretical basis for the development of gut microbiota-based antidepressants.
2021-12-31 | GSE189233 | GEO
Project description:Major depressive disorder is caused by gene-environment interactions and the gut microbiota plays a pivotal role in the development of depression. However, the mechanisms by which the gut microbiota modulates depression remain elusive. Herein, we detected the differentially expressed hippocampal long non-coding RNAs (lncRNAs), messenger RNAs (mRNAs) and microRNAs (miRNAs) between mice inoculated with gut microbiota from major depressive disorder patients or healthy controls, to identify the effects of gut microbiota-dysbiosis on gene regulation patterns at the transcriptome level. We also performed functional analysis to explore the microbial-regulated pathological mechanisms of depression. Two hundred mRNAs, 358 lncRNAs and 4 miRNAs were differentially expressed between the two groups. Functional analysis of these differentially expressed mRNAs indicated dysregulated inflammatory response to be the primary pathological change. Intersecting the differentially expressed mRNAs with targets of differentially expressed miRNAs identified 47 intersected mRNAs, which were mainly related to neurodevelopment. Additionally, we constructed a microbial-regulated lncRNA-miRNA-mRNA network based on RNA-RNA interactions. According to the competitive endogenous RNA hypothesis, two neurodevelopmental ceRNA sub-networks implicating in depression were identified. This study provides new understanding of the pathogenesis of depression induced by gut microbiota-dysbiosis and may act as a theoretical basis for the development of gut microbiota-based antidepressants.
2021-12-31 | GSE189159 | GEO
Project description:RNA was extracted from peripheral blood mononuclear cells (PBMC) of 24 adult healthy controls, 8 adult patients with bipolar disorder, and 21 adult patients with major depressive disorder to analyze gene expression patterns that identify biomarkers of disease and that may be correlated with fMRI data.
2012-07-26 | GSE39653 | GEO
Project description:Emerging high-throughput proteomic technologies have recently been considered as a powerful means of identifying substrates involved in mood disorders. We performed proteomic profiling using liquid chromatography-tandem mass spectrometry to identify dysregulated proteins in plasma samples of 44, 49, and 50 patients with major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia , respectively, in comparison to 51 healthy controls (HCs).
2025-06-29 | MSV000098376 | MassIVE
Project description:Emerging high-throughput proteomic technologies have recently been considered as a powerful means of identifying substrates involved in mood disorders. We performed proteomic profiling using liquid chromatography-tandem mass spectrometry to identify dysregulated proteins in plasma samples of 44, 49, and 50 patients with major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia , respectively, in comparison to 51 healthy controls (HCs).
2022-02-16 | PXD028841 | Pride
Project description:Background: Osteoarthritis (OA) is a globally prevalent degenerative joint disorder that imposes significant socioeconomic burdens. While traditionally viewed as a localized “wear-and-tear” disease, emerging evidence supports a systemic pathogenesis involving the gut-joint axis. The oral-gut-joint pathway remains underexplored in OA pathophysiology. Objective: This study aimed to characterize oral and gut microbiota signatures in knee OA patients and elucidate their functional connections to cartilage degeneration through multiomics integration. Methods: We conducted a cross-sectional observational study involving 25 OA patients and 20 healthy controls. 16S rDNA gene amplicon sequencing region was performed on fecal and oropharyngeal swab samples. Cartilage tissues were subjected to transcriptomic and proteomic analyses. Results: We identified distinct dysbiosis patterns in both the gut and oral microbiomes of OA patients. The α-Diversity of the gut microbiota significantly increased (P < 0.05) with enrichment of Ruminococcaceae and Subdoligranulum. Concurrently, the oral microbiota showed increased α-Diversity and activation of the lipopolysaccharide biosynthesis pathway. We constructed two significant cross-omics correlation modules: one linking gut microbes (Lachnospiraceae and Muribaculaceae) to cartilage inflammatory genes (MAPK11, ITGB3, CD55 and ANGPT2) and extracellular matrix remodelling proteins and another connecting gut microbes (Helicobacter, Pseudomonas, and Phocea) with CXCL14 and GNGT2. Conclusion: Our study revealed the dysbiotic characteristics of the oral-gut microbiome and its complex functional connections with pathological changes in cartilage. These findings offer novel mechanistic insights and potential therapeutic targets for microbiota-based precision interventions in OA.
2026-05-27 | GSE331536 | GEO
Project description:This dataset includes PRM-based plasma proteomics from adolescent patients diagnosed with Major Depressive Disorder (MDD), Bipolar Disorder (BD), and Schizophrenia (SZ), as well as healthy controls. The study aims to identify differentially expressed proteins and potential circulating biomarkers across psychiatric conditions, enabling evaluation of disease-specific molecular signatures and contributing to the understanding of adolescent psychiatric disorder pathophysiology.
2025-06-30 | PXD065610 |