Functional network analysis of gene-phenotype connectivity based on pioglitazone
Functional network analysis of gene-phenotype connectivity based on pioglitazone
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基于吡格列酮的基因-表型连接功能网络分析
DOI:
10.3892/etm.2019.8162
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发表时间:
2019-11
期刊:
影响因子:
--
通讯作者:
Lixin Guo
中科院分区:
文献类型:
--
作者:
Weihao Wang;Lina Zhang;Xiaoxia Wang;Dong Lin;Qi Pan;Lixin Guo
Pioglitazone, a type of insulin sensitizer, serves as an effective anti-hyperglycemic drug. The mechanism of action of pioglitazone is through the activation of the peroxisome proliferator-activated receptor (PPAR), which results in enhanced insulin sensitivity of peripheral tissues and the liver, causing a reduction in the production and output of liver sugar. It has been reported that pioglitazone increases the risk of bladder cancer, but the underlying mechanisms have remained elusive. It was hypothesized that modulation of pioglitazone activity may be predicted by systematically analyzing data published on drugs. This hypothesis was tested by querying the Drug-Target Interactome (DTome), a web-based tool that provides open-source data from three databases (DrugBank, PharmGSK and Protein Interaction Network analysis). A total of 4 direct target proteins (DTPs) and further DTP-associated genes were identified for pioglitazone. Subsequently, an enrichment analysis was performed for all DTP-associated genes using Cytoscape software. A total of 12 Kyoto Encyclopedia of Genes and Genomes pathways were identified, including the ‘PPAR signaling pathway’ as well as ‘pathways in cancer’ as relevant pathways. Functional network analysis was able to identify direct and indirect target genes of pioglitazone, resulting in a list of possible biological functions based on published databases. Furthermore, Kaplan-Meier analysis indicated that pioglitazone may affect the survival rate of patients with bladder cancer through genetic alterations (missense mutation, truncating mutation, amplification, deep deletion and fusion) of target genes. Therefore, it should be used with caution.
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影响因子:
7.3
作者:
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者:
Schultz N
影响因子:
7.7
作者:
Halstead AM;Kapadia CD;Bolzenius J;Chu CE;Schriefer A;Wartman LD;Bowman GR;Arora VK
通讯作者:
Arora VK
DOI:
10.1093/ajhp/56.17.1698
发表时间:
1999-09
期刊:
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
影响因子:
--
作者:
J. Miller
通讯作者:
J. Miller
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
30.8
作者:
Al-Ahmadie HA;Iyer G;Lee BH;Scott SN;Mehra R;Bagrodia A;Jordan EJ;Gao SP;Ramirez R;Cha EK;Desai NB;Zabor EC;Ostrovnaya I;Gopalan A;Chen YB;Fine SW;Tickoo SK;Gandhi A;Hreiki J;Viale A;Arcila ME;Dalbagni G;Rosenberg JE;Bochner BH;Bajorin DF;Berger MF;Reuter VE;Taylor BS;Solit DB
通讯作者:
Solit DB