Department of Endocrinology and Metabolism, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
School of Public Health, Qingdao University, Qingdao, Shandong, China.
Int Wound J. 2022 Nov;19(7):1658-1668. doi: 10.1111/iwj.13766. Epub 2022 Feb 2.
In this study, we intend to determine the microbial communities that are differentially expressed in diabetic foot ulcers (DFUs) from the view of species abundance difference and compositions. The EMBL-EBI database and QIIME2 platform were used to obtain and process 16S rRNA sequencing data of normal healthy and DFU samples. The LEfSe software was utilised to retrieve key intestinal bacteria differentially expressed in DFUs. Additionally, PICRUSt2, FAPROTAX and BugBase functional analyses were performed to analyse the potential microbial functions and related metabolic pathways. The correlations between intestinal microbiota and clinical indexes were evaluated using the Spearman correlation analysis. Significant differences existed in intestinal microbiota between DFU and normal healthy samples regarding species abundance difference and compositions at Kingdom, Phylum, Class, Order, Family, Genus and Species levels. Seven microbiota were demonstrated differentially expressed in DFUs that contained Bacteroidaceae, Prevotellaceae, Streptococcaceae, Lactobacillales, Bacilli, Veillonellaceae and Selenomonadales. Insulin signalling pathway may be the key pathway related to the functional significance of Streptococcus and Bacillus in the DFUs. The intestinal microbiota in DFUs exhibited susceptibility to sulphur cycling while displaying pathogenic potential. Last but not least, a close relationship between Streptococcus and the occurrence of DFUs was revealed. Taken together, this study mainly demonstrated the high abundance of Streptococcus in DFUs and its correlation with the disease occurrence.
在这项研究中,我们旨在从物种丰度差异和组成的角度确定糖尿病足溃疡(DFU)中差异表达的微生物群落。使用 EMBL-EBI 数据库和 QIIME2 平台获取和处理正常健康和 DFU 样本的 16S rRNA 测序数据。使用 LEfSe 软件检索 DFU 中差异表达的关键肠道细菌。此外,还进行了 PICRUSt2、FAPROTAX 和 BugBase 功能分析,以分析潜在的微生物功能和相关代谢途径。使用 Spearman 相关性分析评估肠道微生物群与临床指标之间的相关性。在 Kingdom、Phylum、Class、Order、Family、Genus 和 Species 水平上,DFU 和正常健康样本之间的肠道微生物群在物种丰度差异和组成方面存在显著差异。在 DFU 中发现了 7 种差异表达的微生物群,其中包含拟杆菌科、普雷沃氏菌科、链球菌科、乳杆菌目、芽孢杆菌科、韦荣球菌科和脱硫单胞菌目。胰岛素信号通路可能是与 DFU 中链球菌和芽孢杆菌功能意义相关的关键通路。DFU 中的肠道微生物群对硫循环表现出敏感性,同时具有致病潜力。最后但并非最不重要的是,揭示了链球菌与 DFU 发生之间的密切关系。总之,本研究主要表明 DFU 中链球菌的高丰度及其与疾病发生的相关性。