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3D Bioprinting-Based Dopamine-Coupled Flexible Material for Nasal Cartilage Repair

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  • Basic Science/Experimental
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Abstract

Introduction

Since 3D printing can be used to design implants according to the specific conditions of patients, it has become an emerging technology in tissue engineering and regenerative medicine. How to improve the mechanical, elastic and adhesion properties of 3D-printed photocrosslinked hydrogels is the focus of cartilage tissue repair and reconstruction research.

Materials and Methods

We established a strategy for toughening hydrogels by mixing GelMA-DOPA (GD), which is prepared by coupling dopamine (DA) with GelMA, with HAMA, bacterial cellulose (BC) to produce composite hydrogels (HB–GD). HB–GD hydrogel scaffolds were characterized in vitro by scanning electron microscopy (SEM), Young’s modulus, swelling property and rheological property tests. And biocompatibility and chondrogenic ability were tested by live/dead staining, DNA quantitative analysis and immunofluorescence staining. Combined with 3D bioprinting technology, mouse chondrocytes (ADTC5) were added to form a biological chain to construct an in vitro model, and the feasibility of the model for nasal cartilage regeneration was verified by cytology evaluation.

Results

With the increase of GD concentration, the toughness of the composite hydrogel increased (47.0 ± 2.7 kPa (HB–5GD)–158 ± 3.2 kPa (HB–20GD)), and it had excellent swelling properties, rheological properties and printing properties. The HB–GD composite hydrogel promoted the proliferation and differentiation of ATDC5. Cells in 3D printed scaffolds had higher survival rates (> 95%) and better protein expression than the encapsulated cultures.

Conclusion

The HB–10GD hydrogel can be made into a porous scaffold with precise shape, good internal pore structure, high mechanical strength and good swelling rate through extrusion 3D printing.

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Acknowledgements

The authors declare that they have no conflicts of interest.

Funding

This work was supported by the National Natural Science Foundation of China (No. 51975400, No. 62031022), Shanxi Provincial Key Medical Scientific Research Project (2020XM06), Shanxi Provincial Basic Research Project (No. 202103021221006, No. 202103021223040), Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi (No. 2021L044), Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering (2022SX-TD026) and the Key Research and Development Program of Shanxi Province (202202010101004).

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Author notes

  1. Wendan Jia and Zixian Liu have contributed equally to this work.

Authors and Affiliations

  1. Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China

    Wendan Jia, Zixian Liu, Peiyi Hou, Yanyan Cao, Zhizhong Shen, Meng Li, Hulin Zhang, Xing Guo & Shengbo Sang

  2. Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan, 030024, China

    Wendan Jia, Zixian Liu, Hulin Zhang, Xing Guo & Shengbo Sang

  3. College of Information Science and Engineering, Hebei North University, Zhangjiakou, 075000, China

    Yanyan Cao

  4. Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science, Taiyuan, 030031, China

    Zhuwei Ma & Zhizhong Shen

  5. Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering, Taiyuan, 030024, China

    Wendan Jia, Zhuwei Ma & Meng Li

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  1. Wendan Jia
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Contributions

WDJ and ZWM prepared the materials, ZZS and ML conducted material performance tests, WDJ, PYH and ZWM builded 3D printing models, WDJ and ZXL performed live and dead staining, immunofluorescence staining and chondrogenic ability analysis, WDJ and ZXL designed the study and drafted the manuscript, YYC and HLZ conducted the review and editing of the manuscript, XG provided resources and supervision, SBS gave final approval to the pending publication. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Shengbo Sang.

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Jia, W., Liu, Z., Ma, Z. et al. 3D Bioprinting-Based Dopamine-Coupled Flexible Material for Nasal Cartilage Repair. Aesth Plast Surg (2024). https://doi.org/10.1007/s00266-024-03982-7

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