The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Strain- and Species-Level Variation in the Microbiome of Diabetic Wounds Is Associated with Clinical Outcomes and Therapeutic Efficacy
Open accessAbstract
Chronic wounds are a major complication of diabetes associated with high morbidity and health care expenditures. To investigate the role of colonizing microbiota in diabetic wound healing, clinical outcomes, and response to interventions, we conducted a longitudinal, prospective study of patients with neuropathic diabetic foot ulcers (DFU). Metagenomic shotgun sequencing revealed that strain-level variation of Staphylococcus aureus and genetic signatures of biofilm formation were associated with poor outcomes. Cultured wound isolates of S. aureus elicited differential phenotypes in mouse models that corresponded with patient outcomes, while wound “bystanders” such as Corynebacterium striatum and Alcaligenes faecalis typically considered commensals or contaminants also significantly impacted wound severity and healing. Antibiotic resistance genes were widespread, and debridement, rather than antibiotic treatment, significantly shifted the DFU microbiota in patients with more favorable outcomes. These findings suggest that the DFU microbiota may be a marker for clinical outcomes and response to therapeutic interventions.
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Cites
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
Roary: rapid large-scale prokaryote pan genome analysis
Page, A. J., Cummins, C. A., Hunt, M., Wong, V. K., Reuter, S., Holden, M. T. G., Fookes, M., Falush, D., Keane, J. A., & Parkhill, J. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv421 · Cited by 5,736
Mauve: Multiple alignment of conserved genomic sequence with rearrangements
Darling, A. C. E., Mau, B., Blattner, F. R., & Perna, N. T. (2004) · Genome Research · doi:10.1101/gr.2289704 · Cited by 4,949
Guest Editorial: are diabetes‐related wounds and amputations worse than cancer?
Armstrong, D. G., Wrobel, J., & Robbins, J. M. (2007) · International Wound Journal · doi:10.1111/j.1742-481x.2007.00392.x · Cited by 456
The Neuropathic Diabetic Foot Ulcer Microbiome Is Associated With Clinical Factors
Gardner, S. E., Hillis, S. L., Heilmann, K., Segre, J. A., & Grice, E. A. (2013) · Diabetes · doi:10.2337/db12-0771 · Cited by 320
Self-citationLongitudinal shift in diabetic wound microbiota correlates with prolonged skin defense response
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., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004204107 · Cited by 227
Self-citationRhoads, D. D., Cox, S. B., Rees, E. J., Sun, Y., & Wolcott, R. D. (2012) · BMC Infectious Diseases · doi:10.1186/1471-2334-12-321 · Cited by 167
Cited by
Falanga, V., Isseroff, R. R., Soulika, A. M., Romanelli, M., Margolis, D., Kapp, S., Granick, M., & Harding, K. (2022) · Nature Reviews Disease Primers · doi:10.1038/s41572-022-00377-3 · Cited by 1,020
Chronic wounds: Treatment consensus
Eriksson, E., Liu, P. Y., Schultz, G. S., Martins‐Green, M. M., Tanaka, R., Weir, D., Gould, L. J., Armstrong, D. G., Gibbons, G. W., Wolcott, R., et al. (2022) · Wound Repair and Regeneration · doi:10.1111/wrr.12994 · Cited by 412
Biofilm-Innate Immune Interface: Contribution to Chronic Wound Formation
Versey, Z., da Cruz Nizer, W. S., Russell, E., Zigic, S., DeZeeuw, K. G., Marek, J. E., Overhage, J., & Cassol, E. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.648554 · Cited by 253
Bacterial Biofilm in Chronic Wounds and Possible Therapeutic Approaches
Cavallo, I., Sivori, F., Mastrofrancesco, A., Abril, E., Pontone, M., Di Domenico, E. G., & Pimpinelli, F. (2024) · Biology · doi:10.3390/biology13020109 · Cited by 213
Biofilm and wound healing: from bench to bedside
Goswami, A. G., Basu, S., Banerjee, T., & Shukla, V. K. (2023) · European Journal of Medical Research · doi:10.1186/s40001-023-01121-7 · Cited by 178
Metadata
- Authors
- Kalan, L. R., Meisel, J. S., Loesche, M. A., Horwinski, J., Soaita, I., Chen, X., Uberoi, A., Gardner, S. E., & Grice, E. A.
- Venue
- Cell Host & Microbe
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 25
- Issue
- 5
- Pages
- 641-655.e5
- ISSN
- 1931-3128 (ISSN-L)
- OpenAlex
- W2939275762
- Cited by
- 397
- References
- 7
- FWCI
- 20.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Strain- and Species-Level Variation in the Microbiome of Diabetic Wounds Is Associated with Clinical Outcomes and Therapeutic Efficacy. https://app.cochat.ai/papers/10.1016/j.chom.2019.03.006
- The paper
- Kalan, L. R., Meisel, J. S., Loesche, M. A., Horwinski, J., Soaita, I., Chen, X., Uberoi, A., Gardner, S. E., & Grice, E. A. (2019). Strain- and Species-Level Variation in the Microbiome of Diabetic Wounds Is Associated with Clinical Outcomes and Therapeutic Efficacy. Cell Host & Microbe. https://doi.org/10.1016/j.chom.2019.03.006
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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