Cited by 227Wound Healing and TreatmentsDiabetic Foot Ulcer Assessment and ManagementBacterial biofilms and quorum sensing

Longitudinal shift in diabetic wound microbiota correlates with prolonged skin defense response

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Grice, Elizabeth A., Snitkin, Evan S., Yockey, Laura J., Bermudez, Dustin M., NISC Comparative Sequencing Program, Liechty, Kenneth W., Segre, Julia A., Mullikin, Jim +36 more·2010·Proceedings of the National Academy of Sciences

Abstract

Diabetics frequently suffer from chronic, nonhealing wounds. Although bacterial colonization and/or infection are generally acknowledged to negatively impact wound healing, the precise relationship between the microbial community and impaired wound healing remains unclear. Because the host cutaneous defense response is proposed to play a key role in modulating microbial colonization, we longitudinally examined the diabetic wound microbiome in tandem with host tissue gene expression. By sequencing 16S ribosomal RNA genes, we show that a longitudinal selective shift in wound microbiota coincides with impaired healing in diabetic mice ( Lepr db/db ; db/db). We demonstrate a parallel shift in longitudinal gene expression that occurs in a cluster of genes related to the immune response. Further, we establish a correlation between relative abundance of Staphylococcus spp. and the expression of cutaneous defense response genes. Our data demonstrate that integrating two types of global datasets lends a better understanding to the dynamics governing host–microbe interactions.

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Crossref · 10.1073/pnas.1004204107

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  • Aging or underlying diseases such as diabetes may contribute to changes in skin microbiota, as shown in diabetic mice.

    “Aging or underlying diseases, such as diabetes, may also contribute to changes in skin microbiota, as shown recently in diabetic mice (171), and we do not yet know how these changes influence healing.”

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Authors
Grice, E. A., Snitkin, E. S., Yockey, L. J., Bermudez, D. M., Program, N. C. S., Liechty, K. W., Segre, J. A., Mullikin, J., Blakesley, R., Young, A., Chu, G., Ramsahoye, C., Lovett, S., Han, J., Legaspi, R., Fuksenko, T., Reddix-Dugue, N., Sison, C., Gregory, M., Montemayor, C., Gestole, M., Hargrove, A., Johnson, T., Myrick, J., Riebow, N., Schmidt, B., Novotny, B., Gupti, J., Benjamin, B., Brooks, S., Coleman, H., Ho, S.-L., Schandler, K., Smith, L., Stantripop, M., Maduro, Q., Bouffard, G., Dekhtyar, M., Guan, X., Masiello, C., Maskeri, B., McDowell, J., Park, M., & Jacques Thomas, P.
Affiliations
  • National Institutes of Health (US)
  • University of Pennsylvania (US)
  • University of Mississippi Medical Center (US)
  • Genetics and Molecular Biology Branch and
Venue
Proceedings of the National Academy of Sciences
Published
2010-07-28
Volume
107
Issue
33
Pages
14799-14804
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2057107436
Cited by
227
References
34
Citations by year
2026: 7 · 2025: 9 · 2024: 18 · 2023: 12 · 2022: 11 · 2021: 14 · 2020: 17 · 2019: 18 · 2018: 15 · 2017: 12 · 2016: 16 · 2015: 13 · 2014: 25 · 2013: 13 · 2012: 18
FWCI
13.29
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Diabetes and Digestive and Kidney Diseases (DP2DK083085, 7DP2DK083085-02., R56DK080672)
Topics
  • Health Sciences › Medicine › Rehabilitation › Wound Healing and Treatments
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetic Foot Ulcer Assessment and Management
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bacterial biofilms and quorum sensing
Keywords
diabetic wound healing, wound microbiota, chronic wounds, host-microbe interactions, immune gene expression, Staphylococcus, type 2 diabetes, db/db mice, bacterial colonization, 16S rRNA gene sequencing
MeSH terms
Animals, Bacteria, Bacterial Infections, Diabetes Mellitus, Type 2, Female, Molecular Sequence Data, Population Dynamics, RNA, Ribosomal, 16S, Skin, Staphylococcus, Time Factors, Wound Healing, Cluster Analysis, Sequence Analysis, DNA, Mice, Knockout, Gene Expression Profiling, Biodiversity, Mice, Receptors, Leptin, Host-Pathogen Interactions, Metagenome

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