Abstract: This study aims to evaluate the effects of heat-treated potato on glucose and lipid metabolism in diet-induced mice model（established by 10-weeks’ high-fat feeding）, to analyze the changes in the gut microbiota through 16S rRNA gene high-throughput sequencing and to explain the correlations between metabolic changes and the gut microbiota using Spearman’s rank correlation. The seven-weeks’ feeding of potato diet resulted in a 16.1% reduction in body weight, and a significant decrease in the liver, pancreas, and adipose tissue weight. Additionally,fasting insulin, HOMA-IR index, serum TC, serum LDL-C/TC, and liver TG were significantly lowered, and serum HDL-C/TC was increased by potato diet treatment. Analysis of the sequencing data showed a decrease in α diversity and a shift in gut microbiota structure. A total of 23 ASVs（amplicon sequence variants） responding to the potato intervention were selected by the Random Forest model and they were defined as the key ASVs, among which 6 were enriched by potato intervention and 9 key ASVs were correlated with the changes of metabolic parameters.Therefore, the impro-vement in obesity-associated metabolism induced by the potato diet was associated with the modulation of gut microbiota, indicated by the enrichment of the ASVs that was positively associated with metabolic improvement and the decrease in the relative abundance of the ASVs that negatively correlated with the metabolic improvement. Since potato intervention improved glucose and lipid metabolism via the modulation of gut microbiota, it might become a good staple alternative in the future. Therefore, functional foods made from potatoes could be envisioned to prevent obesity-related metabolic syndrome via the intervention of gut microbiota.