The Wound Microbiome: Modern Approaches to Examining the Role of Microorganisms in Impaired Chronic Wound Healing
Open accessAbstract
Longitudinal studies employing serial sampling are needed to appreciate the role of the dynamic microbial community in chronic wound healing. The value of clinical metadata needs to be examined as potential biomarkers of problematic microbiota and wound outcomes. Lastly, better characterization and understanding of wound microbiomes will open avenues for improved diagnostic and therapeutic tools for the nonhealing wound.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Hormones, particularly estrogens and androgens, are contributing factors in aging and have been implicated as regulators of wound healing in experimental models and patients.
“Hormones, particularly estrogens and androgens, are contributing factors in aging and have been implicated as regulators of wound healing in experimental models and patients (112, 163, 172, 173).”
From Wound repair and regeneration: Mechanisms, signaling, and translation (2014) · cites this paper as [163]
Polymicrobial presence (bioburden) is well documented in chronic wounds and can play a major role in impaired wound healing even without clinical signs of infection.
“Polymicrobial presence (bioburden) has been well documented in chronic wounds and can play a major role in impaired wound healing, even in the absence of clinical signs of infection (Fig. 3) (163, 165).”
From Wound repair and regeneration: Mechanisms, signaling, and translation (2014) · cites this paper as [163]
Obligate anaerobes Bacteroides, Peptoniphilus, Finegoldia, Anaerococcus, and Peptostreptococcus spp. have been identified in chronic wounds.
“In addition, obligate anaerobes Bacteroides, Peptoniphilus, Finegoldia, Anaerococcus, and Peptostreptococcus spp. have also been identified [reviewed in (163)].”
From Wound repair and regeneration: Mechanisms, signaling, and translation (2014) · cites this paper as [163]
The citation lists haven’t been fetched yet
References 30 · Cited by 186
- Authors
- Misic, A. M., Gardner, S. E., & Grice, E. A.
- Affiliations
- University of Pennsylvania (US)
- University of Iowa (US)
- Venue
- Advances in Wound Care
- Publisher
- SAGE Publications
- Published
- 2014-07
- Volume
- 3
- Issue
- 7
- Pages
- 502-510
- ISSN
- 2162-1918 (ISSN-L)
- 2162-1934
- PMC
- PMC4086514
- OpenAlex
- W2105445974
- Cited by
- 186
- References
- 30
- Citations by year
- 2026: 13 · 2025: 16 · 2024: 11 · 2023: 16 · 2022: 27 · 2021: 21 · 2020: 21 · 2019: 12 · 2018: 17 · 2017: 4 · 2016: 20 · 2015: 6 · 2014: 2
- FWCI
- 1.53
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Advances in Wound Care (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Iowa Research Online (The University of Iowa) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of Nursing Research (R01NR009448, NR009448)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (AR007465, R00AR060873, T32AR007465)
- 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
- wound microbiota, chronic wounds, delayed wound healing, microbial communities, serial sampling, longitudinal study, clinical metadata, biomarkers, wound diagnosis, wound care
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
