selective microbial biomarkers in type-2 diabetes with principal component analysis and receiver-operating characteristic curves

Background and aim: gut microbiota dysbiosis has been associated with metabolic disorders, such as obesity and type-2diabetes mellitus. this study evaluated the sensitivity, specificity, and diagnostic accuracy of selective biological markers in t2 diabetes. materials and methods: stool samples were collected from 110 confirmed t2dm and ten non-t2dm subjects, and bacterial dna extracted. the v4 areas of bacterial 16s rrna were amplified and sequenced using an illumina nextseq 500 platform. results: there was a strong correlation between the family streptococcaceae, sphingobacteriaceae, alcaligenaceae, paraprevotellaceae, and enterobacteriaceae with t2d. the genus-faecalibacterium and genus-roseburia demonstrated a negative correlation with t-2d. the receiver-operating characteristic (roc) of the area under curve (auc) value of gut microbiome was in increasing order with family> genus > species > order> class.therefore, we classified the diagnostic accuracy as poor (0.6 < roc auc ≤ 0.7), failed (roc auc ≤ 0.6), good (0.8 < roc auc ≤ 0.9), excellent (0.9 < roc auc ≤ 1.0) and fair (0.7 < roc auc ≤ 0.8).according to the results, the selected bacterial family/taxa provided fair diagnostic tools followed by genus/taxa, whereas other bacterial genera /taxa failed the diagnostic accuracy. conclusion: we could demonstrate the gut microbiome-based classifiers' potential for identifying people suffering from the increased risks for t2d. the findings also revealed that genus-faecalibacterium, genus-roseburia, and genus-phascolarctobacterium were the main discriminants for t2d.