Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P01178 (oxytocin)
 15,767 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Objective To investigate the factors associated with depression, including the serum oxytocin (OXT) levels, disease activity, activities of daily living (ADLs) and quality of life (QOL), and their effects on rheumatoid arthritis (RA). Methods This study included 42-RA-patients. We measured the following variables before and after 6 months of treatment with biological disease-modifying antirheumatic drugs (bDMARDs): the baseline characteristics (including age, sex, disease duration, smoking, and body mass index), the doses of prednisolone and methotrexate, the serum level of matrix metalloprotease-3, the erythrocyte sedimentation rate and the C-reactive protein level. The disease activity of RA was assessed using the Simplified Disease Activity Index (SDAI), depression was assessed using the Hamilton Depression Rating Scale (HAM-D), the ADLs were assessed using the Health Assessment Questionnaire disability index and the QOL was assessed using the Short Form (SF)-36. The serum OXT levels were determined using an enzyme-linked immunosorbent assay. Results The HAM-D score was significantly correlated with the SDAI, and the mental component summary score of the SF-36. However, the serum OXT levels were not correlated with the HAM-D score. The serum OXT levels before and after bDMARDs treatment did not differ to a statistically significant extent, regardless of the presence of depression. Although the differences in the serum levels of OXT were observed prior to the initiation of treatment, there was no gender difference after treatment. Conclusion Although RA complicated by depression may be related to the following high disease activity, a poor QOL and poor ADLs, the serum OXT levels were not directly correlated.
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PMID:The Relationship between the Serum Oxytocin Levels, Disease Activity, the ADLs and the QOL in Patients with Rheumatoid Arthritis. 2902 42

Glioma is the most common malignant tumor in the central nervous system. This study aims to explore the potential mechanism and identify gene signatures of glioma. The glioma gene expression profile GSE4290 was analyzed for differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were applied for the enriched pathways. A protein-protein interaction (PPI) network was constructed to find the hub genes. Survival analysis was conducted to screen and validate critical genes. In this study, 775 downregulated DEGs were identified. GO analysis demonstrated that the DEGs were enriched in cellular protein modification, regulation of cell communication, and regulation of signaling. KEGG analysis indicated that the DEGs were enriched in the MAPK signaling pathway, endocytosis, oxytocin signaling, and calcium signaling. PPI network and module analysis found 12 hub genes, which were enriched in synaptic vesicle cycling rheumatoid arthritis and collecting duct acid secretion. The four key genes CDK17, GNA13, PHF21A, and MTHFD2 were identified in both generation (GSE4412) and validation (GSE4271) dataset, respectively. Regression analysis showed that CDK13, PHF21A, and MTHFD2 were independent predictors. The results suggested that CDK17, GNA13, PHF21A, and MTHFD2 might play important roles and potentially be valuable in the prognosis and treatment of glioma.
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PMID:The Identification of Key Genes and Pathways in Glioma by Bioinformatics Analysis. 2936 22