ArticleBiotechnology and bioengineering2014
The influence of electrospun scaffold topography on endothelial cell morphology, alignment, and adhesion in response to fluid flow.
Article in Biotechnology and bioengineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 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
51 citing papers in PubMed.
- Fabrication and Optimization of a Polycaprolactone-Based Ductular Blood-Brain Barrier Model Using an Electrospinning Technique.ACS omega · 2026Article
- Human Cell-Derived Extracellular Matrix Modulates Endothelial Cell Morphology and Metabolism in Response to Fluid Shear Stress.ACS biomaterials science & engineering · 2026Article
- 2D MoSNano convergence · 2026Article
- Biopolymer-Based Electrospun Nanofibers for Wound Healing, Regeneration, and Therapeutics.Materials (Basel, Switzerland) · 2026Review
- Advanced additive manufacturing in orthopedics: a comprehensive review of biomaterials, structural design, biological functions and clinical technology applications.RSC advances · 2026Review
- Vascular endothelial integration of multiple biophysical stimuli.Frontiers in cardiovascular medicine · 2026Article
- Substrate-Dependent Variability in Viability and Angiogenic Marker Expression Among Three Endothelial Cell Subtypes: Insights for Artificial Tissue Vascularization.Macromolecular bioscience · 2025Article
- Angiogenesis: Biological Mechanisms and In Vitro Models.Annals of biomedical engineering · 2025Review
- The influence of physical and spatial substrate characteristics on endothelial cells.Materials today. Bio · 2024Review
- Effects of polylactic acid scaffolds with various orientations and diameters on osteogenesis and angiogenesis.Frontiers in bioengineering and biotechnology · 2024Article
- Biofabrication of engineered blood vessels for biomedical applications.Science and technology of advanced materials · 2024Review
- Self-organizing behaviors of cardiovascular cells on synthetic nanofiber scaffolds.APL bioengineering · 2023Article
- Activated Carbon-Enriched Electrospun-Produced Scaffolds for Drug Delivery/Release in Biological Systems.International journal of molecular sciences · 2023Article
- Biomechanical Behaviors and Degradation Properties of Multilayered Polymer Scaffolds: The Phase Space Method for Bile Duct Design and Bioengineering.Biomedicines · 2023Article
- Topographic Orientation of Scaffolds for Tissue Regeneration: Recent Advances in Biomaterial Design and Applications.Biomimetics (Basel, Switzerland) · 2022Review
- Electrospun Scaffolds as Cell Culture Substrates for the Cultivation of an In Vitro Blood-Brain Barrier Model Using Human Induced Pluripotent Stem Cells.Pharmaceutics · 2022Article
- Multiscale Anisotropic Tissue Biofabrication via Bulk Acoustic Patterning of Cells and Functional Additives in Hybrid Bioinks.Advanced healthcare materials · 2022Article
- Structural Aspects of Electrospun Scaffolds Intended for Prosthetics of Blood Vessels.Polymers · 2022Review
- Bioprinted microvasculature: progressing from structure to function.Biofabrication · 2022Review
- The path to a hemocompatible cardiovascular implant: Advances and challenges of current endothelialization strategies.Frontiers in cardiovascular medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Bioengineered vascular grafts provide a promising alternative to autografts for replacing diseased or damaged arteries, but necessitate scaffold designs capable of supporting a confluent endothelium that resists endothelial cell (EC) detachment under fluid flow. To this end, we investigated whether tuning electrospun topography (i.e., fiber diameter and orientation) could impact EC morphology, alignment, and structural protein organization with the goal of forming a confluent and well-adhered endothelium under fluid flow. To test this, a composite polymer blend of poly(ε-caprolactone) (PCL) and type I collagen was electrospun to form scaffolds with controlled fiber diameters ranging from approximately 100-1,200 nm and with varying degrees of fiber alignment. ECs were seeded onto scaffolds, and cell morphology and degree of alignment were quantified using image analysis of fluorescently stained cells. Our results show that ECs form confluent monolayers on electrospun scaffolds, with cell alignment systematically increasing with a larger degree of fiber orientation. Additionally, cells on aligned electrospun scaffolds display thick F-actin bundles parallel to the direction of fiber alignment and strong VE-cadherin expression at cell-cell junctions. Under fluid flow, ECs on highly aligned scaffolds had greater resistance to detachment compared to cells cultured on randomly oriented and semi-aligned scaffolds. These results indicate that scaffolds with aligned topographies may be useful in forming a confluent endothelium with enhanced EC adhesion for vascular tissue engineering applications.
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.