|
1
|
Peng H, Han B, Tong T, Jin X, Peng Y, Guo M, Li B, Ding J, Kong Q, Wang Q. 3D printing processes in precise drug delivery for personalized medicine. Biofabrication 2024; 16:10.1088/1758-5090/ad3a14. [PMID: 38569493 PMCID: PMC11164598 DOI: 10.1088/1758-5090/ad3a14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 04/03/2024] [Indexed: 04/05/2024]
Abstract
With the advent of personalized medicine, the drug delivery system will be changed significantly. The development of personalized medicine needs the support of many technologies, among which three-dimensional printing (3DP) technology is a novel formulation-preparing process that creates 3D objects by depositing printing materials layer-by-layer based on the computer-aided design method. Compared with traditional pharmaceutical processes, 3DP produces complex drug combinations, personalized dosage, and flexible shape and structure of dosage forms (DFs) on demand. In the future, personalized 3DP drugs may supplement and even replace their traditional counterpart. We systematically introduce the applications of 3DP technologies in the pharmaceutical industry and summarize the virtues and shortcomings of each technique. The release behaviors and control mechanisms of the pharmaceutical DFs with desired structures are also analyzed. Finally, the benefits, challenges, and prospects of 3DP technology to the pharmaceutical industry are discussed.
Collapse
Affiliation(s)
- Haisheng Peng
- Department of Pharmacology, Medical College, University of Shaoxing, Shaoxing, People’s Republic of China
- These authors contributed equally
| | - Bo Han
- Department of Pharmacy, Daqing Branch, Harbin Medical University, Daqing, People’s Republic of China
- These authors contributed equally
| | - Tianjian Tong
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, United States of America
| | - Xin Jin
- Department of Pharmacology, Medical College, University of Shaoxing, Shaoxing, People’s Republic of China
| | - Yanbo Peng
- Department of Pharmaceutical Engineering, China Pharmaceutical University, 639 Longmian Rd, Nanjing 211198, People’s Republic of China
| | - Meitong Guo
- Department of Pharmacology, Medical College, University of Shaoxing, Shaoxing, People’s Republic of China
| | - Bian Li
- Department of Pharmacology, Medical College, University of Shaoxing, Shaoxing, People’s Republic of China
| | - Jiaxin Ding
- Department of Pharmacology, Medical College, University of Shaoxing, Shaoxing, People’s Republic of China
| | - Qingfei Kong
- Department of Neurobiology, Harbin Medical University, Heilongjiang Provincial Key Laboratory of Neurobiology, Harbin, Heilongjiang 150086, People’s Republic of China
| | - Qun Wang
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, United States of America
| |
Collapse
|
|
2
|
Bai L, Wu Y, Li G, Zhang W, Zhang H, Su J. AI-enabled organoids: Construction, analysis, and application. Bioact Mater 2024; 31:525-548. [PMID: 37746662 PMCID: PMC10511344 DOI: 10.1016/j.bioactmat.2023.09.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/09/2023] [Accepted: 09/09/2023] [Indexed: 09/26/2023] Open
Abstract
Organoids, miniature and simplified in vitro model systems that mimic the structure and function of organs, have attracted considerable interest due to their promising applications in disease modeling, drug screening, personalized medicine, and tissue engineering. Despite the substantial success in cultivating physiologically relevant organoids, challenges remain concerning the complexities of their assembly and the difficulties associated with data analysis. The advent of AI-Enabled Organoids, which interfaces with artificial intelligence (AI), holds the potential to revolutionize the field by offering novel insights and methodologies that can expedite the development and clinical application of organoids. This review succinctly delineates the fundamental concepts and mechanisms underlying AI-Enabled Organoids, summarizing the prospective applications on rapid screening of construction strategies, cost-effective extraction of multiscale image features, streamlined analysis of multi-omics data, and precise preclinical evaluation and application. We also explore the challenges and limitations of interfacing organoids with AI, and discuss the future direction of the field. Taken together, the AI-Enabled Organoids hold significant promise for advancing our understanding of organ development and disease progression, ultimately laying the groundwork for clinical application.
Collapse
Affiliation(s)
- Long Bai
- Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China
- Wenzhou Institute of Shanghai University, Wenzhou, 325000, China
| | - Yan Wu
- Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China
| | - Guangfeng Li
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China
- Department of Orthopedics, Shanghai Zhongye Hospital, Shanghai, 201941, China
| | - Wencai Zhang
- Department of Orthopedics, First Affiliated Hospital, Jinan University, Guangzhou, 510632, China
| | - Hao Zhang
- Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China
| | - Jiacan Su
- Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China
| |
Collapse
|
|
3
|
Zhang X, Luo Y, Wang Q. Editorial: Organ mimicking technologies and their applications in drug discovery. Front Bioeng Biotechnol 2023; 11:1341153. [PMID: 38107621 PMCID: PMC10722410 DOI: 10.3389/fbioe.2023.1341153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 11/23/2023] [Indexed: 12/19/2023] Open
Affiliation(s)
- Xiuli Zhang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Yong Luo
- State Key Laboratory of Fine Chemicals, Department of Pharmaceutical Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning, China
| | - Qun Wang
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA, United States
| |
Collapse
|