{"title":"Application of 3D bioprinting technology apply to assessing Dangguiniantongtang (DGNT) decoctions in arthritis.","authors":"Zhichao Liang, Yunxi Han, Tao Chen, Jinwu Wang, Kaili Lin, Luying Yuan, Xuefei Li, Hao Xu, Tengteng Wang, Yang Liu, Lianbo Xiao, Qianqian Liang","doi":"10.1186/s13020-024-00948-4","DOIUrl":null,"url":null,"abstract":"<p><p>The aim of this study was to develop a three-dimensional (3D) cell model in order to evaluate the effectiveness of a traditional Chinese medicine decoction in the treatment of arthritis. Chondrocytes (ATDC5) and osteoblasts (MC3T3-E1) were 3D printed separately using methacryloyl gelatin (GelMA) hydrogel bioinks to mimic the natural 3D cell environment. Both cell types showed good biocompatibility in GelMA. Lipopolysaccharide (LPS) was added to the cell models to create inflammation models, which resulted in increased expression of inflammatory factors IL-1β, TNF-α, iNOS, and IL-6, and decreased expression of cell functional genes such as Collagen II (COLII), transcription factor SOX-9 (Sox9), Aggrecan, alkaline phosphatase (ALP), RUNX family transcription factor 2 (Runx2), Collagen I (COLI), Osteopontin (OPN), and bone morphogenetic protein-2 (BMP-2). The created inflammation model was then used to evaluate the effectiveness of Dangguiniantongtang (DGNT) decoctions. The results showed that DGNT reduced the expression of inflammatory factors and increased the expression of functional genes in the cell model. In summary, this study established a 3D cell model to assess the effectiveness of traditional Chinese medicine (TCM) decoctions, characterized the gene expression profile of the inflammatory state model, and provided a practical reference for future research on TCM efficacy evaluation for arthritis treatment.</p>","PeriodicalId":10266,"journal":{"name":"Chinese Medicine","volume":"19 1","pages":"96"},"PeriodicalIF":5.3000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11229348/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13020-024-00948-4","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INTEGRATIVE & COMPLEMENTARY MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of this study was to develop a three-dimensional (3D) cell model in order to evaluate the effectiveness of a traditional Chinese medicine decoction in the treatment of arthritis. Chondrocytes (ATDC5) and osteoblasts (MC3T3-E1) were 3D printed separately using methacryloyl gelatin (GelMA) hydrogel bioinks to mimic the natural 3D cell environment. Both cell types showed good biocompatibility in GelMA. Lipopolysaccharide (LPS) was added to the cell models to create inflammation models, which resulted in increased expression of inflammatory factors IL-1β, TNF-α, iNOS, and IL-6, and decreased expression of cell functional genes such as Collagen II (COLII), transcription factor SOX-9 (Sox9), Aggrecan, alkaline phosphatase (ALP), RUNX family transcription factor 2 (Runx2), Collagen I (COLI), Osteopontin (OPN), and bone morphogenetic protein-2 (BMP-2). The created inflammation model was then used to evaluate the effectiveness of Dangguiniantongtang (DGNT) decoctions. The results showed that DGNT reduced the expression of inflammatory factors and increased the expression of functional genes in the cell model. In summary, this study established a 3D cell model to assess the effectiveness of traditional Chinese medicine (TCM) decoctions, characterized the gene expression profile of the inflammatory state model, and provided a practical reference for future research on TCM efficacy evaluation for arthritis treatment.
Chinese MedicineINTEGRATIVE & COMPLEMENTARY MEDICINE-PHARMACOLOGY & PHARMACY
CiteScore
7.90
自引率
4.10%
发文量
133
审稿时长
31 weeks
期刊介绍:
Chinese Medicine is an open access, online journal publishing evidence-based, scientifically justified, and ethical research into all aspects of Chinese medicine.
Areas of interest include recent advances in herbal medicine, clinical nutrition, clinical diagnosis, acupuncture, pharmaceutics, biomedical sciences, epidemiology, education, informatics, sociology, and psychology that are relevant and significant to Chinese medicine. Examples of research approaches include biomedical experimentation, high-throughput technology, clinical trials, systematic reviews, meta-analysis, sampled surveys, simulation, data curation, statistics, omics, translational medicine, and integrative methodologies.
Chinese Medicine is a credible channel to communicate unbiased scientific data, information, and knowledge in Chinese medicine among researchers, clinicians, academics, and students in Chinese medicine and other scientific disciplines of medicine.