Systems Biology in Understanding the Human Gut Microbiome and Related Diseases Highlighting Metabolic Modeling and Analysis

The human microbiome has an impact on human health. In physiological settings, genome-scale metabolic modeling (GSMM) is a comparatively modern method to predict diet-microbiome, microbe-microbe, and host-microbe interactions. Recent discoveries have led to a completely new outlook on the subject that suggests our microbiota may play a role in the onset of many different diseases, such as cancer, gastrointestinal problems, and metabolic disorders. Due to the complicated etiology of various disorders, the precise mechanisms by which certain alterations in the makeup of the gut microbiota are related to the emergence of such diseases in humans are yet unknown. Multiple metagenomics and metabolomics studies have shown that microbial dysbiosis increases cancer risk through a variety of mechanisms. Using a systems biology strategy for facilitating learning of the underlying variations of the microbiome between physiological and pathological phases can ultimately help to uncover potential innovative therapeutic and diagnostic approaches.