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Protocols of 3D Bioprinting of Gelatin Methacryloyl Hydrogel Based Bioinks
Published on: December 21, 2019
Developments with 3D bioprinting for novel drug discovery
Aishwarya Satpathy1, Pallab Datta1, Yang Wu2,3
1a Centre for Healthcare Science and Technology , Indian Institute of Engineering Science and Technology Shibpur , Howrah , India.
Bioprinted three-dimensional (3D) tissue models offer improved accuracy for drug discovery. Addressing challenges like vascularization and standardization will pave the way for their commercialization and regulatory approval.
Area of Science:
- Biotechnology and Biomedical Engineering
- Pharmacology and Drug Discovery
- Tissue Engineering
Background:
- Drug discovery is a critical but time- and resource-intensive process.
- Traditional two-dimensional (2D) models have limitations in mimicking in vivo conditions.
- Three-dimensional (3D) models offer enhanced accuracy by replicating cellular interactions and tissue microenvironments.
Purpose of the Study:
- To provide a comprehensive review of bioprinted tissue models for drug discovery.
- To assess the potential applications and limitations of these advanced models.
- To discuss future directions and challenges in the field.
Main Methods:
- Review of current literature on bioprinting technologies and their application in tissue fabrication.
- Analysis of various bioprinted tissue models and their suitability for pre-clinical drug testing.
- Appraisal of the advantages and disadvantages of using bioprinted models in drug discovery workflows.
Main Results:
- Bioprinting enables the creation of sophisticated 3D tissue constructs that better mimic human physiology.
- These models show promise in improving the predictive power of early-stage drug screening.
- Key challenges include ensuring efficiency, reproducibility, standardization, and vascularization of bioprinted tissues.
Conclusions:
- Bioprinted tissue models represent a significant advancement over traditional 2D methods in drug discovery.
- Further research is needed to overcome current impediments and achieve widespread adoption.
- Commercialization and regulatory approval are the next critical steps for realizing the full potential of these models.
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