The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Longitudinal shift in diabetic wound microbiota correlates with prolonged skin defense response
Open accessAbstract
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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“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.”
From Wound repair and regeneration: Mechanisms, signaling, and translation (2014) · cites this paper as [171]
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Metadata
- 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
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2010-07-28
- Volume
- 107
- Issue
- 33
- Pages
- 14799-14804
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2930465
- 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
- Update notices
- correction (2010-09-24)
- Open access
- green
- www.ncbi.nlm.nih.gov
- 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 › Surgery › 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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