02 May 2020 : Clinical Research
Changes in Foot Skin Microbiome of Patients with Diabetes Mellitus Using High-Throughput 16S rRNA Gene Sequencing: A Case Control Study from a Single Center
Mengru Pang12ABCDEF, Meishu Zhu134ACEF, Xiaoxuan Lei12ACDE, Caihong Chen25BCF, Zexin Yao25BCF, Biao Cheng1267ADEFG*DOI: 10.12659/MSM.921440
Med Sci Monit 2020; 26:e921440
Abstract
BACKGROUND: Worldwide, the treatment of complications associated with type 2 diabetes mellitus, including diabetic foot ulcer (DFU), results in an economic burden for patients and healthcare systems. This study aimed to use high-throughput 16S rRNA gene sequencing to investigate the changes in foot skin microbiome of patients with diabetes mellitus from a single center in China.
MATERIAL AND METHODS: Fifty-two participants were divided into 4 study groups: healthy controls (n=13); patients with short-term diabetes (<2 years; n=13); patients with intermediate-term diabetes (5–8 years; n=13); and patients with long-term diabetes (>10 years; n=13). Swabs were analyzed from the intact skin of the foot arch using high-throughput 16S ribosomal RNA sequencing.
RESULTS: Microbiome phylogenic diversity varied significantly between the study groups (whole tree, P<0.01; Chao1, P<0.01), but were similar within the same group. The findings were supported by non-parametric multidimensional scaling (stress=0.12) and principal component analysis (principal component 1, 8.38%; principal component 2, 5.28%). In patients with diabetes mellitus, the dominant skin microbial phyla were Firmicutes, Proteobacteria, Actinobacteria, and Bacteroidetes.
CONCLUSIONS: High-throughput 16S rRNA gene sequencing showed dynamic changes in the skin microbiome from the foot during the progression of diabetes mellitus. These findings support the importance of understanding the role of the skin microbiota in the pathogenesis of DFU.
Keywords: Diabetes Complications, Diabetes Mellitus, Type 2, Bacteria, Case-Control Studies, Diabetic Foot, Disease Progression, Foot, Genes, rRNA, High-Throughput Nucleotide Sequencing, Patients, Skin
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