Emerging Diabetic Foot Ulcer Microbiome Analysis Using Cutting Edge Technologies

• Published in: Journal of diabetes science and technology Vol. 16; no. 2; pp. 353 - 363
• Main Author: Schmidt, Brian M.
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01.03.2022
• Subjects: Amputation, Surgical; Diabetes Mellitus; Diabetic Foot; Foot Ulcer; Humans; Microbiota; Prognosis; Special Section: Diabetic Neuropathy; Wound Healing; metagenomics next generation sequencing; infection; wound healing; diabetic foot ulcer; microbiome; diabetes
• ISSN: 1932-2968; 1932-3107
• DOI: 10.1177/1932296821990097

One of the most prevalent complications of diabetes mellitus are diabetic foot ulcers (DFU). Diabetic foot ulcers represent a complex condition placing individuals at-risk for major lower extremity amputations and are an independent predictor of patient mortality. DFU heal poorly when standard of care therapy is applied. In fact, wound healing occurs only approximately 30% within 12 weeks and only 45% regardless of time when standard of care is utilized. Similarly, diabetic foot infections occur in half of all DFU and conventional microbiologic cultures can take several days to process before a result is known. DFU represent a significant challenge in this regard because DFU often demonstrate polymicrobial growth, become resistant to preferred antibiotic therapy, and do not inform providers about long-term prognosis. In addition, conventional culture yields may be affected by the timing of antibiotic administration and collection of tissue for analysis. This may lead to suboptimal antibiotic administration or debilitating amputations. The microbiome of DFU is a new frontier to better understand the interactions between host organisms and pathogenic ones. Newer molecular techniques are readily available to assist in analyzing the constituency of the microbiome of DFU. These emerging techniques have already been used to study the microbiome of DFU and have clinical implications that may alter standard of care practice in the near future. Here emerging molecular techniques that can provide clinicians with rapid DFU-related-information and help prognosticate outcomes in this vulnerable patient population are presented.