Temporal Stability in Chronic Wound Microbiota Is Associated With Poor Healing

J Invest Dermatol. 2017 Jan;137(1):237-244. doi: 10.1016/j.jid.2016.08.009. Epub 2016 Aug 24.

Abstract

Microbial burden of chronic wounds is believed to play an important role in impaired healing and the development of infection-related complications. However, clinical cultures have little predictive value of wound outcomes, and culture-independent studies have been limited by cross-sectional design and small cohort size. We systematically evaluated the temporal dynamics of the microbiota colonizing diabetic foot ulcers, a common and costly complication of diabetes, and its association with healing and clinical complications. Dirichlet multinomial mixture modeling, Markov chain analysis, and mixed-effect models were used to investigate shifts in the microbiota over time and their associations with healing. Here we show, to our knowledge, previously unreported temporal dynamics of the chronic wound microbiome. Microbiota community instability was associated with faster healing and improved outcomes. Diabetic foot ulcer microbiota were found to exist in one of four community types that experienced frequent and nonrandom transitions. Transition patterns and frequencies were associated with healing time. Exposure to systemic antibiotics destabilized the wound microbiota, rather than altering overall diversity or relative abundance of specific taxa. This study provides evidence that the dynamic wound microbiome is indicative of clinical outcomes and may be a valuable guide for personalized management and treatment of chronic wounds.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Anti-Bacterial Agents / therapeutic use*
  • Chronic Disease
  • Cohort Studies
  • Cross-Sectional Studies
  • Diabetic Foot / drug therapy*
  • Diabetic Foot / microbiology*
  • Diabetic Foot / physiopathology
  • Disease Progression
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Markov Chains
  • Microbiota / drug effects*
  • Middle Aged
  • Prognosis
  • Prospective Studies
  • Risk Assessment
  • Wound Healing / physiology*

Substances

  • Anti-Bacterial Agents