Evaluation of the effects of curcumin in chronic obstructive pulmonary disease with bio-computational approach

Abstract

According to the increasing trend of COPD, timely diagnosis and treatment of the disease can reduce the high costs of this disease on countries' health systems. Therefore, by biological calculation methods, signaling pathways and genes involved in this disease can be obtained and used to design drugs and other treatment methods. In this study, we investigated the effect of curcumin on this disease and reached the genes involved in this disease and signaling pathways through biological calculations.Aim: Our goal in this study was to find the genes by which curcumin exerts its effect and can maintain the function of corticosteroids against oxidizing agents. By finding the genes, it is possible to find precisely the pathways by which curcumin works, which can be used to design other drugs that cause these pathways and minimize their side effects. Methods: In this study, healthy samples (with/without curcumin) and oxygen free radicals (with/without curcumin) are considered inputs to the problem. These datasets are mRNA expression data. Finally, statistical algorithms are used to extract meaningful genes that are effective as biomarkers to investigate the effects of curcumin and signaling pathways in chronic obstructive pulmonary disease.Results: The results show that the genes that were finally obtained as the most critical genes confirmed by other articles are effective in COPD. Among the compared groups, the highest number of different genes expressed in the groups belonged to group 6, which can be justified by comparing genes.Conclusion: The data showed that the genes that are ultimately the most significant genes in each group had been confirmed in other studies to be effective in this disease, and protein-protein interaction networks can be established between them to investigate their roles.