ArticleJournal of functional biomaterials2022
Application of Injectable, Crosslinked, Fibrin-Containing Hyaluronic Acid Scaffolds for In Vivo Remodeling.
Article in Journal of functional biomaterials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed, 12 citations in OpenAlex.
- Fibrin-Based Biomaterials in Wound Healing and Soft Tissue Regeneration: Biological Mechanisms and Clinical Applications.Gels (Basel, Switzerland) · 2026Review
- Optimization of Gelatin-Based Scaffolds for Soft Tissue Regeneration: In Vitro and In Vivo Performance.International journal of molecular sciences · 2025Article
- Influence of Scaffold Structure and Biomimetic Properties on Adipose Stem Cell Homing in Personalized Reconstructive Medicine.Biomimetics (Basel, Switzerland) · 2025Review
- Article
- Are We Overlooking Harms of BDDE-Cross-Linked Dermal Fillers? A Scoping Review.Aesthetic plastic surgery · 2024Article
- Water-Insoluble, Thermostable, Crosslinked Gelatin Matrix for Soft Tissue Implant Development.International journal of molecular sciences · 2024Article
- Injectable fillers: current status, physicochemical properties, function mechanism, and perspectives.RSC advances · 2023Review
- Polymer Gels: Classification and Recent Developments in Biomedical Applications.Gels (Basel, Switzerland) · 2023Review
- Editorial: Biomaterial applications in soft tissue engineering and replacement.Frontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
The present research aimed to characterize soft tissue implants that were prepared with the use of crosslinked hyaluronic acid (HA) using two different crosslinkers and multiple reagent concentrations, alone or in combination with fibrin. The effect of the implants was evaluated in an in vivo mouse model, after 4 weeks in one group and after 12 weeks in the other. The explants were compared using analytical methods, evaluating microscopic images, and a histology analysis. The kinetics of the degradation and remodeling of explants were found to be greatly dependent on the concentration and type of crosslinker; generally, divinyl sulfone (DVS) resists degradation more effectively compared to butanediol diglycidyl ether (BDDE). The presence of fibrin enhances the formation of blood vessels, and the infiltration of cells and extracellular matrix. In summary, if the aim is to create a soft tissue implant with easier degradation of the HA content, then the use of 2-5% BDDE is found to be optimal. For a longer degradation time, 5% DVS is the more suitable crosslinker. The use of fibrin was found to support the biological process of remodeling, while keeping the advances of HA in void filling, enabling the parallel degradation and remodeling processes.
Indexed as
Identifiers
What OpenQuestion holds
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.