Implant Healing in Experimental Animal Models of Diabetes
Open accessAbstract
Diabetes mellitus is becoming increasingly prevalent worldwide. Additionally, there is an increasing number of patients receiving implantable devices such as glucose sensors and orthopedic implants. Thus, it is likely that the number of diabetic patients receiving these devices will also increase. Even though implantable medical devices are considered biocompatible by the Food and Drug Administration, the adverse tissue healing that occurs adjacent to these foreign objects is a leading cause of their failure. This foreign body response leads to fibrosis, encapsulation of the device, and a reduction or cessation of device performance. A second adverse event is microbial infection of implanted devices, which can lead to persistent local and systemic infections and also exacerbates the fibrotic response. Nearly half of all nosocomial infections are associated with the presence of an indwelling medical device. Events associated with both the foreign body response and implant infection can necessitate device removal and may lead to amputation, which is associated with significant morbidity and cost. Diabetes mellitus is generally indicated as a risk factor for the infection of a variety of implants such as prosthetic joints, pacemakers, implantable cardioverter defibrillators, penile implants, and urinary catheters. Implant infection rates in diabetic patients vary depending upon the implant and the microorganism, however, for example, diabetes was found to be a significant variable associated with a nearly 7.2% infection rate for implantable cardioverter defibrillators by the microorganism Candida albicans. While research has elucidated many of the altered mechanisms of diabetic cutaneous wound healing, the internal healing adjacent to indwelling medical devices in a diabetic model has rarely been studied. Understanding this healing process is crucial to facilitating improved device design. The purpose of this article is to summarize the physiologic factors that Influence wound healing and infection in diabetic patients, to review research concerning diabetes and biomedical implants and device infection, and to critically analyze which diabetic animal model might be advantageous for assessing internal healing adjacent to implanted devices.
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The wide range of available diabetic animal models may complicate comparisons between studies.
“the wide range of available diabetic models in animals (e.g., genetic or chemically induced) may further complicate comparisons between studies.129”
From Biocompatible Materials for Continuous Glucose Monitoring Devices (2013) · cites this paper as [129]
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- Authors
- Le, N. N., Rose, M. B., Levinson, H., & Klitzman, B.
- Affiliations
- Duke University (US)
- Corresponding author
- Klitzman, Bruce
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2011-05
- Volume
- 5
- Issue
- 3
- Pages
- 605-618
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC3192627
- OpenAlex
- W2057535463
- Cited by
- 52
- References
- 63
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 1 · 2022: 3 · 2021: 9 · 2020: 1 · 2019: 4 · 2018: 2 · 2017: 6 · 2016: 1 · 2015: 4 · 2014: 9 · 2013: 6 · 2012: 1
- Type
- conference abstract
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DukeSpace (Duke University) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (DK54932)
- National Institute of Biomedical Imaging and Bioengineering (EB 000708, R01EB000708)
- Topics
- Health Sciences › Medicine › Rehabilitation › Wound Healing and Treatments
- Health Sciences › Medicine › Surgery › Orthopedic Infections and Treatments
- Health Sciences › Dentistry › Oral Surgery › Dental Implant Techniques and Outcomes
- Keywords
- diabetes mellitus, implant healing, foreign body reaction, implant-associated infection, animal models of diabetes, wound healing, fibrosis, device encapsulation, biomedical implants, Candida albicans, nosocomial infections
- MeSH terms
- Animals, Blood Glucose, Candidiasis, Cross Infection, Fibrosis, Humans, Orthopedics, Prosthesis Failure, Wound Healing, Blood Glucose Self-Monitoring, Biosensing Techniques, Cytokines, Defibrillators, Implantable, Prostheses and Implants, Intercellular Signaling Peptides and Proteins, Diabetes Complications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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