Kyung Hee University · Engineering
Professor Dong Nyoung Heo's research lab specializes in advanced biomaterials and tissue engineering, focusing on the development of functional hydrogels, nanofibrous scaffolds, and bioactive implants for regenerative medicine. The lab integrates novel materials—such as gold nanoparticles, gelatin, polyurethane, and polyimide—with cutting-edge fabrication techniques like 3D bioprinting, electrospinning, and fused deposition modeling to create biomimetic constructs for bone and neural tissue repair. A key focus is on enhancing mechanical properties, controlling drug delivery, and improving long-term biocompatibility and signal stability in implantable devices. The lab also pioneers scaffold-free, spheroid-based 3D tissue engineering strategies inspired by developmental biology to overcome limitations of traditional scaffold-based approaches.
Figures are computed from collected data and may differ slightly.
A hybrid hydrogel composed of gelatin and gold nanoparticles (GNPs) was designed to evaluate the effect of new bone formation and proves itself to be useful as an implant material for treating defected bone tissues.
Three-dimensional (3D) functional constructs with biomimetic mechanical and chemical properties are ideal for various regenerative medicine applications. These properties of 3D fabricated constructs mainly depend on the intrinsic characteristics of the materials and fabrication method. In this respect, the current use of hydrogels for musculoskeletal tissue repair is not ideal due to the lack of suitable mechanical properties, as well as the high biomimetic requirement for success. To overcome t
Despite the fact that advances of burn treatment have led to reduction in the morbidity caused by burns, burn infection is still a serious problem. In this study, we designed blended synthetic and natural polymers nanofiber scaffolds using polyurethane (PU) and gelatin, which were prepared by an electrospinning method. Silver-sulfadiazine (SSD) was co-mixed to the blended polymer solution for being incorporated into the nanofibers after the electrospinning, followed by examination of burn-wound
Extrusion-based bioprinting of hydrogels in a granular secondary gel enables the fabrication of cell-laden three-dimensional (3D) constructs in an anatomically accurate manner, which is challenging using conventional extrusion-based bioprinting processes. In this study, carbohydrazide-modified gelatin (Gel-CDH) was synthesized and deposited into a new multifunctional support bath consisting of gelatin microparticles suspended in an oxidized alginate (OAlg) solution. During extrusion, Gel-CDH and
Polyimide (PI)-based electrodes have been widely used as flexible biosensors in implantable device applications for recording biological signals. However, the long-term quality of neural signals obtained from PI-based nerve electrodes tends to decrease due to nerve damage by neural tissue compression, mechanical mismatch, and insufficient fluid exchange between the neural tissue and electrodes. Here, we resolve these problems with a developed PI nanofiber (NF)-based nerve electrode for stable ne
Conventional top-down approaches in tissue engineering involving cell seeding on scaffolds have been widely used in bone engineering applications. However, scaffold-based bone tissue constructs have had limited clinical translation due to constrains in supporting scaffolds, minimal flexibility in tuning scaffold degradation, and low achievable cell seeding density as compared with native bone tissue. Here, we demonstrate a pragmatic and scalable bottom-up method, inspired from embryonic developm
Adipose-derived stem cells (ADSCs) have the capacity to differentiate into neural precursor cells which can be used for nerve regeneration. However, their inherently low neurogenic differentiation efficiency limits further clinical applications. This study was designed to promote neurogenic differentiation efficacy of ADSCs by integrating conductive hydrogel-based microwells with electrical stimulation (ES). We hypothesize that ADSCs will differentiate more efficiently into neural precursor cell
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