Abstract

While some micro-organisms, such as Staphylococcus aureus, are clearly implicated in causing tissue damage in diabetic foot ulcers (DFUs), our knowledge of the contribution of the entire microbiome to clinical outcomes is limited. We profiled the microbiome of a longitudinal sample series of 28 people with diabetes and DFUs of the heel in an attempt to better characterize the relationship between healing, infection and the microbiome. In total, 237 samples were analysed from 28 DFUs, collected at fortnightly intervals for 6 months or until healing. Microbiome profiles were generated by 16S rRNA gene sequence analysis, supplemented by targeted nanopore sequencing.Result/Key findings. DFUs which failed to heal during the study period (20/28, 71.4 %) were more likely to be persistently colonized with a heterogeneous community of micro-organisms including anaerobes and Enterobacteriaceae (log-likelihood ratio 9.56, P=0.008). During clinically apparent infection, a reduction in the diversity of micro-organisms in a DFU was often observed due to expansion of one or two taxa, with recovery in diversity at resolution. Modelling of the predicted species interactions in a single DFU with high diversity indicated that networks of metabolic interactions may exist that contribute to the formation of stable communities. Longitudinal profiling is an essential tool for improving our understanding of the microbiology of chronic wounds, as community dynamics associated with clinical events can only be identified by examining changes over multiple time points. The development of complex communities, particularly involving Enterobacteriaceae and strict anaerobes, may be contributing to poor outcomes in DFUs and requires further investigation.

Highlights

  • It is generally acknowledged that diabetic foot ulcers (DFUs) present a considerable clinical and economic burden [1, 2]

  • Longitudinal profiling is an essential tool for improving our understanding of the microbiology of chronic wounds, as community dynamics associated with clinical events can only be identified by examining changes over multiple time points

  • Little is known of interactions which may occur within a diverse community of micro-organisms which could result in delayed healing, subclinical tissue damage or predisposition to clinical infection

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Summary

Introduction

It is generally acknowledged that diabetic foot ulcers (DFUs) present a considerable clinical and economic burden [1, 2]. Profiling of marker genes, such as the 16S ribosomal RNA gene, or sequencing all the genetic material present in a sample provides an overview of the microbiome - including microorganisms which may be difficult to culture or be present in very low numbers [6]. These large datasets can be analysed with datamining techniques to uncover relationships between the presence of various groups of microorganisms and clinical variables. In a cross-sectional study of soft tissue samples from 40 people with DFUs, Dowd [7] described a broader spread of taxa than previously identified by culture based methods, while in a more recent study of 52

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