Paper · 7829879
Tissue inhibitor of metalloproteinases-1 is decreased and activated gelatinases are increased in chronic wounds.
Bullen EC and 6 others. J Invest Dermatol, 1995. Cited by 207 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. Tissue inhibitor of metalloproteinases-1 is decreased and activated gelatinases are increased in chronic wounds. Papers, record 7829879. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/7829879
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Tissue inhibitor of metalloproteinases-1 is decreased and activated gelatinases are increased in chronic wounds.
- PubMed
Topics10
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Gelatinases | Major topic |
| Glycoproteins | Major topic |
| Wounds and Injuries | Major topic |
| Chronic Disease | |
| Enzyme Activation | |
| Exudates and Transudates | |
| Humans | |
| Matrix Metalloproteinase Inhibitors | |
| Tissue Inhibitor of Metalloproteinases | |
| Wound Healing |
Source PubMed
Grants0
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None in this release.
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
None in this release.
References0
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
None in this release.
Cited by57
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 207 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 41,544,231 | Platelet α-granule cargo packaging and endocytosis are important for normal mouse skin wound healing. | Blood Adv | 2026 | https://conductscience.org/library/papers/41544231 | PubMed |
| 41,038,874 | Integrated machine learning analysis of proteomic and transcriptomic data identifies healing associated targets in diabetic wound repair. | Sci Rep | 2025 | https://conductscience.org/library/papers/41038874 | PubMed |
| 40,819,659 | A Review of Chronic Wounds and Their Impact on Negative Affect, Cognition, and Quality of Life. | Int Wound J | 2025 | https://conductscience.org/library/papers/40819659 | PubMed |
| 38,924,411 | Alcaligenes faecalis corrects aberrant matrix metalloproteinase expression to promote reepithelialization of diabetic wounds. | Sci Adv | 2024 | https://conductscience.org/library/papers/38924411 | PubMed |
| 38,505,642 | Advances in the Sensing and Treatment of Wound Biofilms. | Angew Chem Weinheim Bergstr Ger | 2022 | https://conductscience.org/library/papers/38505642 | PubMed |
| 36,838,568 | The Use of Proteins, Lipids, and Carbohydrates in the Management of Wounds. | Molecules | 2023 | https://conductscience.org/library/papers/36838568 | PubMed |
| 36,142,583 | A Preliminary Direct Comparison of the Inflammatory Reduction and Growth Factor Production Capabilities of Three Commercially Available Wound Products: Collagen Sheet, Manuka Honey Sheet, and a Novel Bioengineered Collagen Derivative + Manuka Honey + Hydroxyapatite Sheet. | Int J Mol Sci | 2022 | https://conductscience.org/library/papers/36142583 | PubMed |
| 36,110,054 | The biological and physiological impact of the performance of wound dressings. | Int Wound J | 2023 | https://conductscience.org/library/papers/36110054 | PubMed |
| 35,381,119 | Wound fluid sampling methods for proteomic studies: A scoping review. | Wound Repair Regen | 2022 | https://conductscience.org/library/papers/35381119 | PubMed |
| 35,327,667 | Defining the Protease and Protease Inhibitor (P/PI) Proteomes of Healthy and Diseased Human Skin by Modified Systematic Review. | Biomolecules | 2022 | https://conductscience.org/library/papers/35327667 | PubMed |
1 to 10 of 57
See all 57 cited byGenes1
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
| Gene | NCBI Gene ID | Linked by | In Genes |
|---|---|---|---|
| TIMP1 | 7,076 | PubTator's text mining | https://conductscience.org/library/genes/7076 |
Source NCBI Gene
Drugs0
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None in this release.
Data0
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None in this release.
Data dates
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- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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