Microbiome analysis of drug-disease relationship

Abstract

Abstract Introduction: Microbiomes living in the human body play a significant role in the formation, development, and progress of various human diseases. Microbiomes are located in different organs of the human body, such as lungs, skin, intestines, etc., and their identification has been able to improve the understanding of the mechanisms of various human diseases and the prevention, diagnosis, and treatment of the disease. Protection against pathogens, and education of the immune system, directly or indirectly affect most physiological functions. A change in the composition of the microbiome can upset the balance of the body and lead to various diseases. On the other hand, the human microbiome plays an important role in industries related to drug production and medicine. Identifying drug-microbe interactions can not only provide good insight into the understanding of the mechanism but will also strengthen the development of drug discovery and change in drug use. Objective: This study was conducted with the aim of microbiome analysis to predict the disease-drug relationship. Method: The steps of conducting this research will be followed in three phases. In the first phase of the study, the required data related to diseases, microbes, and drugs and the required information will be extracted from articles and databases and the results will be collected. In the second phase, similarity tables will be created, and then based on the networks and similarity matrices, predictions will be made about drugs, microbes, and diseases. Finally, the newly extracted connections will be evaluated and checked. Findings:By calculating the similarities between microbes, the connections between microbe-drug and microbe-disease and multiple disease-microbe-drug connections, by finding valid articles and evidence based on laboratory and experimental results, the prediction of the results was confirmed.In some cases, acceptable results were not obtained for some connections, which require experimental and laboratory tests to confirm.In general, as we considered, the relationship between medicine and disease was predicted by using the mediation of microbiome, and the results mainly showed their positive effect on each other. Keywords: microbiome, disease-microbe computational communication, drug-microbe computational communication.