Publication Details
Abstract
Objective: The proposed research is focused on examining the compositional and phylogenetic differences of the selected gut microbiota related to these conditions. Methods: Retrieval of sequence data was done in NCBI GenBank database and sequence alignment and phylogenetic tree methods were used to analyze the data. Also, heatmap analysis was used to represent changes in microbial abundance conditions. Results: The findings showed clear patterns of clustering and stable changes in microbes which indicated that a common dysbiotic profile existed in metabolic disorders. These results present the significance of gut microbiota as a biomarker and a target of therapeutic intervention. Novelty: Gut microbiota has been of great interest in that it is a determinant of metabolic disorders like obesity and type 2 diabetes.