Investigation of common disease regulatory network for metabolic disorders: A bioinformatics approach
Year: 2016
Type: article
Abstract: Metabolic disorder causes the failure of metabolism process is growing concern worldwide. This research predicts a common metabolic pathway that is shared by Obesity, Type-2 Diabetes, Hypertension and Cardiovascular diseases due to metabolic disorder. A protein-protein interaction network is created to show the protein co-expression, co-regulations and interactions among gene and diseases. Genes whose are associated with metabolic diseases have been accumulated from different gene databases with verification and 'mined' them to establish gene interaction network models for expressing the molecular linkages among genes and diseases which affect disease progression. The number of associated genes identified for Type 2 Diabetes (T2D) is 250, Hypertension (HT) is 156, Obesity (OB) is 185 and cardiovascular disease (CVD) is 178. Among the sorted candidate gene 10 common genes are identified whose are directly or indirectly associated with four diseases by doing linkage filtering. By analysing the gene network model and PPI network a common metabolic pathway among metabolic diseases has been investigated.
Institution: Mawlana Bhashani Science and Technology University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2554721717