The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Ratios of activated matrix metalloproteinase‐9 to tissue inhibitor of matrix metalloproteinase‐1 in wound fluids are inversely correlated with healing of pressure ulcers
Abstract
Previous analyses of fluids collected from chronic, nonhealing wounds found elevated levels of inflammatory cytokines, elevated levels of proteinases, and low levels of growth factor activity compared with fluids collected from acute, healing wounds. This led to the general hypothesis that chronic inflammation in acute wounds produces elevated levels of proteinases that destroy essential growth factors, receptors, and extracellular matrix proteins, which ultimately prevent wounds from healing. To test this hypothesis further, pro‐ and activated matrix metalloproteinases (MMP‐2 and MMP‐9), tissue inhibitors of metalloproteinases (TIMP‐1 and TIMP‐2), and the ratios of MMPs/TIMPs were assayed in fluids and biopsies collected from 56 patients with chronic pressure ulcers. Specimens included ulcers treated for 0, 10, and 36 days with conventional therapy or with exogenous cytokine therapies. Quantitative assay data were correlated with the amount of healing. The average MMP‐9/TIMP‐1 ratio in fluids from 56 ulcers decreased significantly as the chronic pressure ulcers healed. Furthermore, the average MMP‐9/TIMP‐1 ratio was significantly lower for fluids collected on day 0 from wounds that ultimately healed well (≥85% reduction in initial wound volume) compared with wounds that healed poorly (<50% wound volume reduction). These data show that the ratio of MMP‐9/TIMP‐1 levels is a predictor of healing in pressure ulcers and they provide additional support for the hypothesis that high levels of MMP activity and low levels of MMP inhibitor impair wound healing in chronic pressure ulcers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Interactions of cytokines, growth factors, and proteases in acute and chronic wounds
Mast, B. A., & Schultz, G. S. (1996) · Wound Repair and Regeneration · doi:10.1046/j.1524-475x.1996.40404.x · Cited by 598
Self-citationMitogenic activity and cytokine levels in non-healing and healing chronic leg ulcers
Trengove, N. J., Bielefeldt‐Ohmann, H., & Stacey, M. C. (2000) · Wound Repair and Regeneration · doi:10.1046/j.1524-475x.2000.00013.x · Cited by 432
Yager, D. R., Zhang, L.-Y., Liang, H.-X., Diegelmann, R. F., & Cohen, I. K. (1996) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12365637 · Cited by 389 · cited 4×
“In addition to its antibiotic activity, doxycycline is a competitive inhibitor of most MMPs.38 Ilomostat and doxycycline (unpublished data) also inhibit the tumor necrosis factor-a (TNF-a)-converting enzyme, which is a metalloproteinase, and prevent TNF-a release from cultures of inflammatory cells that are stimulated…”
BackgroundMethodInfluentialBiochemical analysis of acute and chronic wound environments
Tarnuzzer, R. W., & Schultz, G. S. (1996) · Wound Repair and Regeneration · doi:10.1046/j.1524-475x.1996.40307.x · Cited by 372
Self-citationMMP-8 Is the Predominant Collagenase in Healing Wounds and Nonhealing Ulcers
Nwomeh, B. C., Liang, H.-X., Cohen, I. K., & Yager, D. R. (1999) · Journal of Surgical Research · doi:10.1006/jsre.1998.5495 · Cited by 357
Protease inhibitors protect growth factor activity in chronic wounds
Wlaschek, M., Peus, D., Achterberg, V., Meyer-Ingold, W., & Scharffetter-Kochanek, K. (1997) · British Journal of Dermatology · doi:10.1111/j.1365-2133.1997.tb03804.x · Cited by 81
Interleukin-1α and Collagenase Activity Are Elevated in Chronic Wounds
Barone, E. J., Yager, D. R., Pozez, A. L., Olutoye, O. O., Crossland, M. C., Diegelmann, R. F., & Cohen, K. I. (1998) · Plastic and Reconstructive Surgery · doi:10.1097/00006534-199809020-00015 · Cited by 62
Cited by
Edwards, R., & Harding, K. G. (2004) · Current Opinion in Infectious Diseases · doi:10.1097/00001432-200404000-00004 · Cited by 1,099
Wound healing and treating wounds
Morton, L. M., & Phillips, T. J. (2016) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2015.08.068 · Cited by 475
Muller, M., Trocme, C., Lardy, B., Morel, F., Halimi, S., & Benhamou, P. Y. (2008) · Diabetic Medicine · doi:10.1111/j.1464-5491.2008.02414.x · Cited by 314
Chronic wounds and the medical biofilm paradigm
Wolcott, R. D., Rhoads, D. D., Bennett, M. E., Wolcott, B. M., Gogokhia, L., Costerton, J. W., & Dowd, S. E. (2010) · Journal of Wound Care · doi:10.12968/jowc.2010.19.2.46966 · Cited by 306
Chronic wound repair and healing in older adults: current status and future research
Gould, L., Abadir, P., Brem, H., Carter, M., Conner‐Kerr, T., Davidson, J., DiPietro, L., Falanga, V., Fife, C., Gardner, S., et al. (2015) · Wound Repair and Regeneration · doi:10.1111/wrr.12245 · Cited by 291
Metadata
- Authors
- LADWIG, G. P., ROBSON, M. C., LIU, R., KUHN, M. A., MUIR, D. F., & SCHULTZ, G. S.
- Venue
- Wound Repair and Regeneration
- Publisher
- Wiley
- Published
- 2002-01
- Volume
- 10
- Issue
- 1
- Pages
- 26-37
- ISSN
- 1067-1927 (ISSN-L)
- 1524-475X
- OpenAlex
- W2071534864
- Cited by
- 355
- References
- 7
- FWCI
- 10.43
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ratios of activated matrix metalloproteinase‐9 to tissue inhibitor of matrix metalloproteinase‐1 in wound fluids are inversely correlated with healing of pressure ulcers. https://app.cochat.ai/papers/10.1046/j.1524-475x.2002.10903.x
- The paper
- LADWIG, G. P., ROBSON, M. C., LIU, R., KUHN, M. A., MUIR, D. F., & SCHULTZ, G. S. (2002). Ratios of activated matrix metalloproteinase‐9 to tissue inhibitor of matrix metalloproteinase‐1 in wound fluids are inversely correlated with healing of pressure ulcers. Wound Repair and Regeneration. https://doi.org/10.1046/j.1524-475x.2002.10903.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.