Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity
Obesity is a complex medical condition that affects multiple organs in the body. However, the underlying mechanisms of obesity, as well as its treatment, are largely unexplored. The focus of this research was to use bioinformatics to discover possible treatment targets for obesity. To begin, the GSE...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Adipocyte |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/21623945.2021.2013406 |
| _version_ | 1798034132871151616 |
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| author | Yun Yu Yu-Han Zhang Liang Liu Ling-Ling Yu Jun-Pei Li Jing-an Rao Feng Hu Ling-Juan Zhu Hui-Hui Bao Xiao-Shu Cheng |
| author_facet | Yun Yu Yu-Han Zhang Liang Liu Ling-Ling Yu Jun-Pei Li Jing-an Rao Feng Hu Ling-Juan Zhu Hui-Hui Bao Xiao-Shu Cheng |
| author_sort | Yun Yu |
| collection | DOAJ |
| description | Obesity is a complex medical condition that affects multiple organs in the body. However, the underlying mechanisms of obesity, as well as its treatment, are largely unexplored. The focus of this research was to use bioinformatics to discover possible treatment targets for obesity. To begin, the GSE133099 database was used to identify 364 differentially expressed genes (DEGs). Then, DEGs were subjected to tissue-specific analyses and enrichment analyses, followed by the creation of a protein-protein interaction (PPI) network and generation of a drug-gene interaction database to screen key genes and potential future drugs targeting obesity. Findings have illustrated that the tissue-specific expression of neurologic markers varied significantly (34.7%, 52/150). Among these genes, Lep, ApoE, Fyn, and FN1 were the key genes observed in the adipocyte samples from obese patients relative to the controls. Furthermore, nine potential therapeutic drugs (dasatinib, ocriplasmin, risperidone, gemfibrozil, ritonavir, fluvastatin, pravastatin, warfarin, atorvastatin) that target the key genes were also screened and selected. To conclude the key genes discovered (Lep, ApoE, Fyn, and FN1), as well as 9 candidate drugs, could be used as therapeutic targets in treating obesity. |
| first_indexed | 2024-04-11T20:40:00Z |
| format | Article |
| id | doaj.art-9afa2b3f454d4341ae1eb90485775062 |
| institution | Directory Open Access Journal |
| issn | 2162-3945 2162-397X |
| language | English |
| last_indexed | 2024-04-11T20:40:00Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Adipocyte |
| spelling | doaj.art-9afa2b3f454d4341ae1eb904857750622022-12-22T04:04:15ZengTaylor & Francis GroupAdipocyte2162-39452162-397X2022-12-0111111010.1080/21623945.2021.20134062013406Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesityYun Yu0Yu-Han Zhang1Liang Liu2Ling-Ling Yu3Jun-Pei Li4Jing-an Rao5Feng Hu6Ling-Juan Zhu7Hui-Hui Bao8Xiao-Shu Cheng9Second Affiliated Hospital of Nanchang UniversityMaternal and Child Health Affiliated Hospital of Nanchang UniversitySecond Affiliated Hospital of Nanchang UniversitySecond Affiliated Hospital of Nanchang UniversitySecond Affiliated Hospital of Nanchang UniversitySecond Affiliated Hospital of Nanchang UniversitySecond Affiliated Hospital of Nanchang UniversitySecond Affiliated Hospital of Nanchang UniversitySecond Affiliated Hospital of Nanchang UniversitySecond Affiliated Hospital of Nanchang UniversityObesity is a complex medical condition that affects multiple organs in the body. However, the underlying mechanisms of obesity, as well as its treatment, are largely unexplored. The focus of this research was to use bioinformatics to discover possible treatment targets for obesity. To begin, the GSE133099 database was used to identify 364 differentially expressed genes (DEGs). Then, DEGs were subjected to tissue-specific analyses and enrichment analyses, followed by the creation of a protein-protein interaction (PPI) network and generation of a drug-gene interaction database to screen key genes and potential future drugs targeting obesity. Findings have illustrated that the tissue-specific expression of neurologic markers varied significantly (34.7%, 52/150). Among these genes, Lep, ApoE, Fyn, and FN1 were the key genes observed in the adipocyte samples from obese patients relative to the controls. Furthermore, nine potential therapeutic drugs (dasatinib, ocriplasmin, risperidone, gemfibrozil, ritonavir, fluvastatin, pravastatin, warfarin, atorvastatin) that target the key genes were also screened and selected. To conclude the key genes discovered (Lep, ApoE, Fyn, and FN1), as well as 9 candidate drugs, could be used as therapeutic targets in treating obesity.http://dx.doi.org/10.1080/21623945.2021.2013406obesityadipocytetissue-specific gene expressiondrug-gene interactionbioinformaticsbiomarkers |
| spellingShingle | Yun Yu Yu-Han Zhang Liang Liu Ling-Ling Yu Jun-Pei Li Jing-an Rao Feng Hu Ling-Juan Zhu Hui-Hui Bao Xiao-Shu Cheng Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity Adipocyte obesity adipocyte tissue-specific gene expression drug-gene interaction bioinformatics biomarkers |
| title | Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity |
| title_full | Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity |
| title_fullStr | Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity |
| title_full_unstemmed | Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity |
| title_short | Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity |
| title_sort | bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity |
| topic | obesity adipocyte tissue-specific gene expression drug-gene interaction bioinformatics biomarkers |
| url | http://dx.doi.org/10.1080/21623945.2021.2013406 |
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