Journal article
Temporal Stability in Chronic Wound Microbiota Is Associated With Poor Healing
Journal of investigative dermatology, Vol.137(1), pp.237-244
01/2017
DOI: 10.1016/j.jid.2016.08.009
PMCID: PMC5279919
PMID: 27566400
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.
Details
- Title: Subtitle
- Temporal Stability in Chronic Wound Microbiota Is Associated With Poor Healing
- Creators
- Michael Loesche - Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USASue E Gardner - University of Iowa, College of Nursing, Iowa City, Iowa, USA. Electronic address: sue-gardner@uiowa.eduLindsay Kalan - Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USAJoseph Horwinski - Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USAQi Zheng - Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USABrendan P Hodkinson - Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USAAmanda S Tyldsley - Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USACarrie L Franciscus - Comprehensive Access and Delivery Research and Evaluation (CADRE) Center, Iowa City VA Health Care System, Iowa City, Iowa, USAStephen L Hillis - Departments of Radiology and Biostatistics, University of Iowa, Iowa City, Iowa, USASamir Mehta - Department of Orthopedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USADavid J Margolis - Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Departments of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USAElizabeth A Grice - Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. Electronic address: egrice@upenn.edu
- Resource Type
- Journal article
- Publication Details
- Journal of investigative dermatology, Vol.137(1), pp.237-244
- DOI
- 10.1016/j.jid.2016.08.009
- PMID
- 27566400
- PMCID
- PMC5279919
- NLM abbreviation
- J Invest Dermatol
- ISSN
- 0022-202X
- eISSN
- 1523-1747
- Publisher
- United States
- Grant note
- R01 NR009448 / NINR NIH HHS R01 AR066663 / NIAMS NIH HHS P30 AR069589 / NIAMS NIH HHS R01 NR015639 / NINR NIH HHS T32 AR007465 / NIAMS NIH HHS R00 AR060873 / NIAMS NIH HHS
- Language
- English
- Date published
- 01/2017
- Academic Unit
- Radiology; Biostatistics; Nursing
- Record Identifier
- 9984051728002771
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