ArticleBiomaterials2015
Repair of dense connective tissues via biomaterial-mediated matrix reprogramming of the wound interface.
Article in Biomaterials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.
- Meniscal repair: The current state and recent advances in augmentation.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021Pooled it
- Complement factor D regulates collagen type I expression and fibroblast migration to enhance human tendon repair and healing outcomes.Frontiers in immunology · 2023Trial
- Antifibrotic hydrogel strategies for scarless tissue regeneration: mechanisms, design, and application.Bioactive materials · 2027Review
- Biologic Augmentation for Meniscus Repair: A Narrative Review.Bioengineering (Basel, Switzerland) · 2026Review
- Nonionic Surfactant as a Tool to Modify Electrospun Fiber Properties for In Vitro Fibrous Connective Tissue Models.Journal of biomedical materials research. Part A · 2026Article
- Rapid restoration of cell phenotype and matrix forming capacity following transient nuclear softening.Acta biomaterialia · 2025Article
- Advanced bioactive glue tethering Lubricin/PRG4 to promote integrated healing of avascular meniscus tears.Bioactive materials · 2023Article
- Transient inhibition of meniscus cell migration following acute inflammatory challenge.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023Article
- Multi-material electrospinning: from methods to biomedical applications.Materials today. Bio · 2023Review
- eEF2 improves dense connective tissue repair and healing outcome by regulating cellular death, autophagy, apoptosis, proliferation and migration.Cellular and molecular life sciences : CMLS · 2023Article
- Antimicrobial efficacy of composite irrigation solution against dominant pathogens in seawater immersion wound andFrontiers in microbiology · 2023Article
- Impediments to Meniscal Repair: Factors at Play Beyond Vascularity.Frontiers in bioengineering and biotechnology · 2022Article
- A review of strategies for development of tissue engineered meniscal implants.Biomaterials and biosystems · 2021Review
- Six-Month Outcomes of Clinically Relevant Meniscal Injury in a Large-Animal Model.Orthopaedic journal of sports medicine · 2021Review
- Putting the Pieces in Place: Mobilizing Cellular Players to Improve Annulus Fibrosus Repair.Tissue engineering. Part B, Reviews · 2021Review
- Nanofibrous hyaluronic acid scaffolds delivering TGF-β3 and SDF-1α for articular cartilage repair in a large animal model.Acta biomaterialia · 2021Article
- Surfactant location and internal phase volume fraction dictate emulsion electrospun fiber morphology and modulate drug release and cell response.Biomaterials science · 2021Article
- Advances in the Mechanisms Affecting Meniscal Avascular Zone Repair and Therapies.Frontiers in cell and developmental biology · 2021Review
- Transection of the medial meniscus anterior horn results in cartilage degeneration and meniscus remodeling in a large animal model.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020Article
- Transcriptomic analysis of bone and fibrous tissue morphogenesis during digit tip regeneration in the adult mouse.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Repair of dense connective tissues in adults is limited by their intrinsic hypocellularity and is exacerbated by a dense extracellular matrix (ECM) that impedes cellular migration to and local proliferation at the wound site. Conversely, healing in fetal tissues occurs due in part to an environment conducive to cell mobility and division. Here, we investigated whether the application of a degradative enzyme, collagenase, could reprogram the adult wound margin to a more fetal-like state, and thus abrogate the biophysical impediments that hinder migration and proliferation. We tested this concept using the knee meniscus, a commonly injured structure for which few regenerative approaches exist. To focus delivery and degradation to the wound interface, we developed a system in which collagenase was stored inside poly(ethylene oxide) (PEO) electrospun nanofibers and released upon hydration. Through a series of in vitro and in vivo studies, our findings show that partial digestion of the wound interface improves repair by creating a more compliant and porous microenvironment that expedites cell migration to and/or proliferation at the wound margin. This innovative approach of targeted manipulation of the wound interface, focused on removing the naturally occurring barriers to adult tissue repair, may find widespread application in the treatment of injuries to a variety of dense connective tissues.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.