Bioinformatics Analysis Explores Potential Hub Genes in Nonalcoholic Fatty Liver Disease
Background: Nonalcoholic fatty liver disease (NAFLD) is now recognized as the most prevalent chronic liver disease worldwide. However, the dysregulated gene expression for NAFLD is still poorly understood.Material and methods: We analyzed two public datasets (GSE48452 and GSE89632) to identify diffe...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2021.772487/full |
| _version_ | 1819117342381047808 |
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| author | Chutian Wu Yun Zhou Yun Zhou Min Wang Guolin Dai Xiongxiu Liu Leizhen Lai Shaohui Tang |
| author_facet | Chutian Wu Yun Zhou Yun Zhou Min Wang Guolin Dai Xiongxiu Liu Leizhen Lai Shaohui Tang |
| author_sort | Chutian Wu |
| collection | DOAJ |
| description | Background: Nonalcoholic fatty liver disease (NAFLD) is now recognized as the most prevalent chronic liver disease worldwide. However, the dysregulated gene expression for NAFLD is still poorly understood.Material and methods: We analyzed two public datasets (GSE48452 and GSE89632) to identify differentially expressed genes (DEGs) in NAFLD. Then, we performed a series of bioinformatics analyses to explore potential hub genes in NAFLD.Results: This study included 26 simple steatosis (SS), 34 nonalcoholic steatohepatitis (NASH), and 13 healthy controls (HC). We observed 6 up- and 19 down-regulated genes in SS, and 13 up- and 19 down-regulated genes in NASH compared with HC. Meanwhile, the overlapping pathways between SS and NASH were PI3K-Akt signaling pathway and pathways in cancer. Then, we screened out 10 hub genes by weighted Gene Co-Expression Network Analysis (WGCNA) and protein-protein interaction (PPI) networks. Eventually, we found that CYP7A1/GINS2/PDLIM3 were associated with the prognosis of hepatocellular carcinoma (HCC) in the TCGA database.Conclusion: Although further validation is still needed, we provide useful and novel information to explore the potential candidate genes for NAFLD prognosis and therapeutic options. |
| first_indexed | 2024-12-22T05:31:27Z |
| format | Article |
| id | doaj.art-2d0053aeecd34dff87ebf9a877e084de |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-12-22T05:31:27Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-2d0053aeecd34dff87ebf9a877e084de2022-12-21T18:37:27ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-10-011210.3389/fgene.2021.772487772487Bioinformatics Analysis Explores Potential Hub Genes in Nonalcoholic Fatty Liver DiseaseChutian Wu0Yun Zhou1Yun Zhou2Min Wang3Guolin Dai4Xiongxiu Liu5Leizhen Lai6Shaohui Tang7Department of Gastroenterology, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaDepartment of Gastroenterology, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaDepartment of Gastroenterology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, ChinaDepartment of Gastroenterology, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaDepartment of Gastroenterology, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaDepartment of Gastroenterology, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaDepartment of Gastroenterology, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaDepartment of Gastroenterology, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaBackground: Nonalcoholic fatty liver disease (NAFLD) is now recognized as the most prevalent chronic liver disease worldwide. However, the dysregulated gene expression for NAFLD is still poorly understood.Material and methods: We analyzed two public datasets (GSE48452 and GSE89632) to identify differentially expressed genes (DEGs) in NAFLD. Then, we performed a series of bioinformatics analyses to explore potential hub genes in NAFLD.Results: This study included 26 simple steatosis (SS), 34 nonalcoholic steatohepatitis (NASH), and 13 healthy controls (HC). We observed 6 up- and 19 down-regulated genes in SS, and 13 up- and 19 down-regulated genes in NASH compared with HC. Meanwhile, the overlapping pathways between SS and NASH were PI3K-Akt signaling pathway and pathways in cancer. Then, we screened out 10 hub genes by weighted Gene Co-Expression Network Analysis (WGCNA) and protein-protein interaction (PPI) networks. Eventually, we found that CYP7A1/GINS2/PDLIM3 were associated with the prognosis of hepatocellular carcinoma (HCC) in the TCGA database.Conclusion: Although further validation is still needed, we provide useful and novel information to explore the potential candidate genes for NAFLD prognosis and therapeutic options.https://www.frontiersin.org/articles/10.3389/fgene.2021.772487/fullnonalcoholic fatty liver diseasenonalcoholic steatohepatitisdifferentially expressed geneshepatocellular carcinomabioinformatics analysis |
| spellingShingle | Chutian Wu Yun Zhou Yun Zhou Min Wang Guolin Dai Xiongxiu Liu Leizhen Lai Shaohui Tang Bioinformatics Analysis Explores Potential Hub Genes in Nonalcoholic Fatty Liver Disease Frontiers in Genetics nonalcoholic fatty liver disease nonalcoholic steatohepatitis differentially expressed genes hepatocellular carcinoma bioinformatics analysis |
| title | Bioinformatics Analysis Explores Potential Hub Genes in Nonalcoholic Fatty Liver Disease |
| title_full | Bioinformatics Analysis Explores Potential Hub Genes in Nonalcoholic Fatty Liver Disease |
| title_fullStr | Bioinformatics Analysis Explores Potential Hub Genes in Nonalcoholic Fatty Liver Disease |
| title_full_unstemmed | Bioinformatics Analysis Explores Potential Hub Genes in Nonalcoholic Fatty Liver Disease |
| title_short | Bioinformatics Analysis Explores Potential Hub Genes in Nonalcoholic Fatty Liver Disease |
| title_sort | bioinformatics analysis explores potential hub genes in nonalcoholic fatty liver disease |
| topic | nonalcoholic fatty liver disease nonalcoholic steatohepatitis differentially expressed genes hepatocellular carcinoma bioinformatics analysis |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2021.772487/full |
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