Analysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitus
Abstract Background This study was aimed at screening out the potential key genes and pathways associated with gestational diabetes mellitus (GDM). Methods The GSE70493 dataset used for this study was obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) in the pl...
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| Format: | Article |
| Language: | English |
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BMC
2019-11-01
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| Series: | Reproductive Biology and Endocrinology |
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| Online Access: | https://doi.org/10.1186/s12958-019-0546-z |
| _version_ | 1828891455829049344 |
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| author | Yuxia Wang Haifeng Yu Fangmei Liu Xiue Song |
| author_facet | Yuxia Wang Haifeng Yu Fangmei Liu Xiue Song |
| author_sort | Yuxia Wang |
| collection | DOAJ |
| description | Abstract Background This study was aimed at screening out the potential key genes and pathways associated with gestational diabetes mellitus (GDM). Methods The GSE70493 dataset used for this study was obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) in the placental tissue of women with GDM in relation to the control tissue samples were identified and submitted to protein-protein interaction (PPI) network analysis and subnetwork module mining. Functional enrichment analyses of the PPI network and subnetworks were subsequently carried out. Finally, the integrated miRNA–transcription factor (TF)–DEG regulatory network was analyzed. Results In total, 238 DEGs were identified, of which 162 were upregulated and 76 were downregulated. Through PPI network construction, 108 nodes and 278 gene pairs were obtained, from which chemokine (C-X-C motif) ligand 9 (CXCL9), CXCL10, protein tyrosine phosphatase, receptor type C (PTPRC), and human leukocyte antigen (HLA) were screened out as hub genes. Moreover, genes associated with the immune-related pathway and immune responses were found to be significantly enriched in the process of GDM. Finally, miRNAs and TFs that target the DEGs were predicted. Conclusions Four candidate genes (viz., CXCL9, CXCL10, PTPRC, and HLA) are closely related to GDM. miR-223-3p, miR-520, and thioredoxin-binding protein may play important roles in the pathogenesis of this disease. |
| first_indexed | 2024-12-13T13:18:20Z |
| format | Article |
| id | doaj.art-84db46e621d2456f8a539972d0430392 |
| institution | Directory Open Access Journal |
| issn | 1477-7827 |
| language | English |
| last_indexed | 2024-12-13T13:18:20Z |
| publishDate | 2019-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Reproductive Biology and Endocrinology |
| spelling | doaj.art-84db46e621d2456f8a539972d04303922022-12-21T23:44:28ZengBMCReproductive Biology and Endocrinology1477-78272019-11-0117111010.1186/s12958-019-0546-zAnalysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitusYuxia Wang0Haifeng Yu1Fangmei Liu2Xiue Song3Department of Gynecology, Jinan Central HospitalDepartment of Obstetrics, Jinan Central HospitalDepartment of Obstetrics, Jinan Central HospitalDepartment of Obstetrics, Jinan Central HospitalAbstract Background This study was aimed at screening out the potential key genes and pathways associated with gestational diabetes mellitus (GDM). Methods The GSE70493 dataset used for this study was obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) in the placental tissue of women with GDM in relation to the control tissue samples were identified and submitted to protein-protein interaction (PPI) network analysis and subnetwork module mining. Functional enrichment analyses of the PPI network and subnetworks were subsequently carried out. Finally, the integrated miRNA–transcription factor (TF)–DEG regulatory network was analyzed. Results In total, 238 DEGs were identified, of which 162 were upregulated and 76 were downregulated. Through PPI network construction, 108 nodes and 278 gene pairs were obtained, from which chemokine (C-X-C motif) ligand 9 (CXCL9), CXCL10, protein tyrosine phosphatase, receptor type C (PTPRC), and human leukocyte antigen (HLA) were screened out as hub genes. Moreover, genes associated with the immune-related pathway and immune responses were found to be significantly enriched in the process of GDM. Finally, miRNAs and TFs that target the DEGs were predicted. Conclusions Four candidate genes (viz., CXCL9, CXCL10, PTPRC, and HLA) are closely related to GDM. miR-223-3p, miR-520, and thioredoxin-binding protein may play important roles in the pathogenesis of this disease.https://doi.org/10.1186/s12958-019-0546-zGestational diabetes mellitusDifferentially expressed genesProtein-protein interaction networkIntegrated regulatory networkTranscription factors |
| spellingShingle | Yuxia Wang Haifeng Yu Fangmei Liu Xiue Song Analysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitus Reproductive Biology and Endocrinology Gestational diabetes mellitus Differentially expressed genes Protein-protein interaction network Integrated regulatory network Transcription factors |
| title | Analysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitus |
| title_full | Analysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitus |
| title_fullStr | Analysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitus |
| title_full_unstemmed | Analysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitus |
| title_short | Analysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitus |
| title_sort | analysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitus |
| topic | Gestational diabetes mellitus Differentially expressed genes Protein-protein interaction network Integrated regulatory network Transcription factors |
| url | https://doi.org/10.1186/s12958-019-0546-z |
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