ReviewPolymers2021
Review of Hybrid Materials Based on Polyhydroxyalkanoates for Tissue Engineering Applications.
Review in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 90 citations in OpenAlex.
- The application of growth factors in bone tissue engineering delivery systems and collaborative innovation strategies.Annals of medicine · 2026Review
- Rheology-Guided PHB/PBAT/MgO Nanocomposites for FDM Printing with Balanced Mechanical and Degradation Performance.ACS omega · 2026Article
- Electroactive Biomaterials for Cardiovascular Tissue Engineering: Mechanisms, Design Strategies, and Therapeutic Applications.Journal of functional biomaterials · 2026Review
- Homogeneous Crystal Nucleation of Poly(3-hydroxybutyrate): Kinetics, Stability, and Cluster-Size Distribution.Macromolecules · 2026Article
- Biodegradable Piezoelectric Micro- and Nanomaterials for Regenerative Medicine, Targeted Therapy, and Microrobotics.Small science · 2025Review
- Bone Regeneration: A Review of Current Treatment Strategies.Journal of clinical medicine · 2025Review
- Materials designed to degrade: structure, properties, processing, and performance relationships in polyhydroxyalkanoate biopolymers.Polymer chemistry · 2025Review
- Study of the Interplay Among Melt Morphology, Rheology and 3D Printability of Poly(Lactic Acid)/Poly(3-Hydroxybutyrate-Co-3-Hydroxyvalerate) Blends.Journal of functional biomaterials · 2025Article
- Applications of piezoelectric biomaterials in dental treatments: A review of recent advancements and future prospects.Materials today. Bio · 2024Review
- Enhancing the Potential of PHAs in Tissue Engineering Applications: A Review of Chemical Modification Methods.Materials (Basel, Switzerland) · 2024Review
- Revealing an important role of piezoelectric polymers in nervous-tissue regeneration: A review.Materials today. Bio · 2024Review
- Hybrid Materials: A Metareview.Chemistry of materials : a publication of the American Chemical Society · 2024Review
- Article
- Bacterial Polyhydroxyalkanoates-based Therapeutics-delivery Nano-systems.Current medicinal chemistry · 2024Review
- Review of Piezoelectrical Materials Potentially Useful for Peripheral Nerve Repair.Biomedicines · 2023Review
- Three-Dimensional Printing of Poly(3-hydroxybutyrate-co-3-hydroxyvalerate) [P(3HB-co-3HV)] Biodegradable Scaffolds: Properties, In Vitro and In Vivo Evaluation.International journal of molecular sciences · 2023Article
- Resorbable Biomaterials Used for 3D Scaffolds in Tissue Engineering: A Review.Materials (Basel, Switzerland) · 2023Review
- Engineered Highly Porous Polyvinyl Alcohol Hydrogels with Poly(3-hydroxybutyrate-co-3-hydroxyvalerate) and Graphene Nanosheets for Musculoskeletal Tissue Engineering: Morphology, Water Sorption, Thermal, Mechanical, Electrical Properties, and Biocompatibility.Materials (Basel, Switzerland) · 2023Article
- Preparation and Characterization of Biomimetic Functional Scaffold with Gradient Structure for Osteochondral Defect Repair.Bioengineering (Basel, Switzerland) · 2023Review
- Recent advances of medical polyhydroxyalkanoates in musculoskeletal system.Biomaterials translational · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review is focused on hybrid polyhydroxyalkanoate-based (PHA) biomaterials with improved physico-mechanical, chemical, and piezoelectric properties and controlled biodegradation rate for applications in bone, cartilage, nerve and skin tissue engineering. PHAs are polyesters produced by a wide range of bacteria under unbalanced growth conditions. They are biodegradable, biocompatible, and piezoelectric polymers, which make them very attractive biomaterials for various biomedical applications. As naturally derived materials, PHAs have been used for multiple cell and tissue engineering applications; however, their widespread biomedical applications are limited due to their lack of toughness, elasticity, hydrophilicity and bioactivity. The chemical structure of PHAs allows them to combine with other polymers or inorganic materials to form hybrid composites with improved structural and functional properties. Their type (films, fibers, and 3D printed scaffolds) and properties can be tailored with fabrication methods and materials used as fillers. Here, we are aiming to fill in a gap in literature, revealing an up-to-date overview of ongoing research strategies that make use of PHAs as versatile and prospective biomaterials. In this work, a systematic and detailed review of works investigating PHA-based hybrid materials with tailored properties and performance for use in tissue engineering applications is carried out. A literature survey revealed that PHA-based composites have better performance for use in tissue regeneration applications than pure PHA.
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.