ArticleSaudi journal of biological sciences2021
Identifying key genes and screening therapeutic agents associated with diabetes mellitus and HCV-related hepatocellular carcinoma by bioinformatics analysis.
Article in Saudi journal of biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
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- Bioinformatics analysis and experimental validation of key genes associated with lumbar disc degeneration and biomechanics.Heliyon · 2024Article
- Identification of hub genes associated withWorld journal of diabetes · 2024Article
- From desert flora to cancer therapy: systematic exploration of multi-pathway mechanisms using network pharmacology and molecular modeling approaches.Frontiers in pharmacology · 2024Article
- Metabolic disturbance and transcriptomic changes induced by methyl triclosan in human hepatocyte L02 cells.Toxicology research · 2023Article
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- Application of multiple machine learning approaches to determine key pyroptosis molecules in type 2 diabetes mellitus.Frontiers in endocrinology · 2023Article
- Integrated Pangenome Analysis and Pharmacophore Modeling Revealed Potential Novel Inhibitors againstInternational journal of environmental research and public health · 2022Article
- Integrated computational approaches to screen gene expression data to determine key genes and therapeutic targets for type-2 diabetes mellitus.Saudi journal of biological sciences · 2022Article
- Integrating Network Pharmacology and Molecular Docking Approaches to Decipher the Multi-Target Pharmacological Mechanism ofPharmaceuticals (Basel, Switzerland) · 2022Article
- Functions and strategies for enhancing zinc availability in plants for sustainable agriculture.Frontiers in plant science · 2022Review
- Impact ofFrontiers in plant science · 2022Article
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8 authors.
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Abstract
objectiveIncidence of both Type 2 diabetes mellitus (T2DM) and hepatocellular carcinoma (HCC) are rapidly increasing worldwide. One of the leading causes of HCC is hepatitis C virus (HCV), which is a resource of blood-borne viral infection. HCV increases the risk for HCC probably by promoting fibrosis and cirrhosis. Association among T2DM and HCV related HCC remains significant, indicating that such association is clinically reliable and robust. Lawson was the first who uncovered HCC in person suffered from T2DM. Until now, genetic association between HCV related HCC and T2DM is poorly known. Current work was designed to figure out the molecular mechanisms of both diseases by identifying the hub genes and therapeutic drugs using integrated bioinformatics analysis.
methodsFour microarray datasets were downloaded from GEO database and analyzed using R in order to obtain different expressed genes (DEGs). Protein-protein interaction (PPI) networks was constructed using STRING tool and visualized by Cytoscape. Moreover, hub genes were identified on the basis of their degree of connectivity. Finally, Networkanalyst and DGIdb were used for the identification of transcription factors (TFs) and selection of candidate drugs, respectively.
resultsA total of 53 DEGs were identified, of which 41 were upregulated genes and 12 were downregulated genes. PPI network obtained from STRING were subjected to Cytoscape plugin cytoHubba, and top 10 genes (AURKA, JUN, AR, MELK, NCOA2, CENPF, NCAPG, PCK1, RAD51AP1, and GTSE1) were chosen as the target hub genes based on the highest degree of connectivity. Furthermore, 47 drugs of AURKA, JUN, AR, MELK, and NCOA2 were found having therapeutic potential to treat HCV-HCC in patients with T2DM.
conclusionThis study updates the information and yield a new perspective in context of understanding the pathogenesis and development of HCV related HCC in affected persons with T2DM.
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