Objective: to explore the value of 16S rRNA sequencing in analyzing the microbial community of diabetic foot skin. Methods: 26 cases of diabetic foot patients admitted to our hospital (March 2019-April 2021) were sele...Objective: to explore the value of 16S rRNA sequencing in analyzing the microbial community of diabetic foot skin. Methods: 26 cases of diabetic foot patients admitted to our hospital (March 2019-April 2021) were selected by random sample sampling method, and their foot skin samples were collected. 16S rRNA sequencing technology was used to identify microbial species and analyze the flora characteristics and the correlation between skin micro-ecological groups and the occurrence of diabetic foot disease was analyzed. Results: the course of diabetes in 17 patients was long and the level of glycosylated hemoglobin was high. The difference between the two methods was significant (P>0.05). Wagner level of diabetic foot patients was positively correlated with the risk of skin microecology imbalance (r=8.256, P<0.001). Conclusion: compared with the culture results, 16S rRNA sequencing analysis of pathogenic bacteria has higher accuracy, simple operation and significant application value, which can be further popularized.展开更多
文摘Objective: to explore the value of 16S rRNA sequencing in analyzing the microbial community of diabetic foot skin. Methods: 26 cases of diabetic foot patients admitted to our hospital (March 2019-April 2021) were selected by random sample sampling method, and their foot skin samples were collected. 16S rRNA sequencing technology was used to identify microbial species and analyze the flora characteristics and the correlation between skin micro-ecological groups and the occurrence of diabetic foot disease was analyzed. Results: the course of diabetes in 17 patients was long and the level of glycosylated hemoglobin was high. The difference between the two methods was significant (P>0.05). Wagner level of diabetic foot patients was positively correlated with the risk of skin microecology imbalance (r=8.256, P<0.001). Conclusion: compared with the culture results, 16S rRNA sequencing analysis of pathogenic bacteria has higher accuracy, simple operation and significant application value, which can be further popularized.
