中国组织工程研究 ›› 2025, Vol. 29 ›› Issue (7): 1437-1447.doi: 10.12307/2025.030

• 干细胞相关大数据分析 Stem cell-related big data analysis • 上一篇    下一篇

新橙皮苷治疗骨质疏松症的靶点及对骨髓间充质干细胞成骨分化的作用

章镇宇1,2,梁秋健1,2,杨  军1,韦相宇1,蒋  捷1,黄林科1,谭  桢1   

  1. 1广西医科大学第二附属医院,广西壮族自治区南宁市   530005;2广西医科大学,广西再生医学重点实验室,广西壮族自治区南宁市   530021
  • 收稿日期:2023-11-28 接受日期:2024-02-06 出版日期:2025-03-08 发布日期:2024-06-27
  • 通讯作者: 黄林科,博士,副主任医师,广西医科大学第二附属医院,广西壮族自治区南宁市 530005 通讯作者:谭桢,博士,主任医师,广西医科大学第二附属医院,广西壮族自治区南宁市 530005
  • 作者简介:章镇宇,男,1996 年生,浙江省绍兴市人,汉族,广西医科大学在读硕士,主要从事骨与关节疾病的基础研究。
  • 基金资助:
    国家自然科学基金项目(8216140155),项目负责人:谭桢;2023年度广西高校中青年教师科研基础能力提升项目(2023KY0109),项目负责人:黄林科;广西自然科学青年科学基金项目(2022JJB140140),项目负责人:蒋捷

Target of neohesperidin in treatment of osteoporosis and its effect on osteogenic differentiation of bone marrow mesenchymal stem cells

Zhang Zhenyu1, 2, Liang Qiujian1, 2, Yang Jun1, Wei Xiangyu1, Jiang Jie1, Huang Linke1, Tan Zhen1   

  1. 1Second Affiliated Hospital of Guangxi Medical University, Nanning 530005, Guangxi Zhuang Autonomous Region, China; 2Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
  • Received:2023-11-28 Accepted:2024-02-06 Online:2025-03-08 Published:2024-06-27
  • Contact: Huang Linke, MD, Associate chief physician, Second Affiliated Hospital of Guangxi Medical University, Nanning 530005, Guangxi Zhuang Autonomous Region, China; Tan Zhen, MD, Chief physician, Second Affiliated Hospital of Guangxi Medical University, Nanning 530005, Guangxi Zhuang Autonomous Region, China
  • About author:Zhang Zhenyu, Master candidate, Second Affiliated Hospital of Guangxi Medical University, Nanning 530005, Guangxi Zhuang Autonomous Region, China; Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
  • Supported by:
    National Natural Science Foundation of China, No. 8216140155 (to TZ); 2023 Basic Research Ability Improvement Project Young and Middle-Aged Teachers of Guangxi Universities, No. 2023KY0109 (to HLK); Guangxi Natural Science Youth Science Foundation, No. 2022JJB140140 (to JJ)

摘要:

文题释义:

生物信息学:是一门整合了生物、计算机、信息学工程、数学和统计等多个学科内容的交叉学科,以研究、开发、应用计算工具和方法来获取、存储、可视化和解释医学或生物数据。 
骨质疏松症:是由于多种原因导致的骨密度和骨质量下降,骨微结构破坏,造成骨脆性增加,从而容易发生骨折的全身性骨病,严重影响了患者的生活质量与身心健康。


背景:前期研究发现新橙皮苷可以延缓去卵巢小鼠的骨丢失,具有治疗骨质疏松症的潜力,但其具体作用机制仍有待探究。
目的:基于生物信息学和体外细胞实验探索新橙皮苷治疗骨质疏松症的关键靶点与可能机制。
方法:从GEO数据库获得骨质疏松症相关的基因表达数据集,通过R语言筛选和分析差异表达基因,从GeneCards和DisGeNET数据库筛选骨质疏松症的相关靶点,从ChEMBL和PubChem数据库筛选新橙皮苷的相关靶点,三者取交集获得共同靶点,使用String数据库构建交集基因的PPI网络,筛选关键目标靶点,使用DAVID数据库进行GO、KEGG富集分析,运用AutoDock软件对新橙皮苷与目标靶点蛋白进行分子对接验证。检测新橙皮苷对C57小鼠骨髓间充质干细胞成骨分化的影响,以完全培养基为空白对照组、成骨诱导液为对照组,含不同浓度(25,50 μmol/L)新橙皮苷的成骨诱导液为实验组,在相应时间检测细胞成骨分化过程中碱性磷酸酶的表达、矿化程度、成骨相关基因及目标靶点基因的表达。
结果与结论:①筛选出差异表达基因9 253个,骨质疏松症相关靶点2 161个,新橙皮苷相关靶点326个,三者共同靶点53个,53个基因在骨质疏松症样本中皆上调。PPI网络筛选出具有研究意义的目标靶点基因PRKACA。GO功能与KEGG通路富集分析表明,新橙皮苷通过PRKACA靶点治疗骨质疏松症主要依靠蛋白质磷酸化和蛋白质自身磷酸化等生物过程,作用于内分泌抵抗、癌症中的蛋白聚糖、雌激素信号通路等发挥治疗作用。分子对接结果表明,新橙皮苷与目标靶点PRKACA对应的蛋白有一定的结合能力。②碱性磷酸酶染色显示新橙皮苷可以促进间充质干细胞成骨分化早期碱性磷酸酶的表达,茜素红染色显示新橙皮苷可以促进间充质干细胞成骨分化的矿化。RT-qPCR检测结果显示,新橙皮苷可以促进碱性磷酸酶、PRKACA、骨钙素mRNA的表达。③结果表明,新橙皮苷可能通过雌激素信号通路上的PRKACA靶点促进成骨分化,从而防治骨质疏松症。

https://orcid.org/0009-0004-4726-4289 (章镇宇) 


中国组织工程研究杂志出版内容重点:干细胞;骨髓干细胞;造血干细胞;脂肪干细胞;肿瘤干细胞;胚胎干细胞;脐带脐血干细胞;干细胞诱导;干细胞分化;组织工程

关键词: 生物信息学, 骨质疏松症, 新橙皮苷, 骨髓间充质干细胞, PRKACA基因

Abstract: BACKGROUND: Previous studies have found that neohesperidin can delay bone loss in ovariectomized mice and has the potential to treat osteoporosis, but its specific mechanism of action remains to be explored.
OBJECTIVE: To explore the key targets and possible mechanisms of neohesperidin in the treatment of osteoporosis based on bioinformatics and cell experiments in vitro.
METHODS: The gene expression dataset related to osteoporosis was obtained from GEO database, and the differentially expressed genes were screened and analyzed in R language. The osteoporosis-related targets were screened from GeneCards and DisGeNET databases, and the neohesperidin-related targets were screened from ChEMBL and PubChem databases, and the common targets were obtained by intersection of the three. The String database was used to construct the PPI network of intersection genes, and the key targets were screened. The DAVID database was used for GO and KEGG enrichment analysis. The AutoDock software was used to verify the molecular docking between the neohesperidin and the target protein. The effect of neohesperidin on osteogenic differentiation of C57 mouse bone marrow mesenchymal stem cells was detected. Complete medium was used as blank control group; osteogenic induction medium was used as the control group; and osteogenic induction medium containing different concentrations of neohesperidin (25, 50 μmol/L) was used as experimental group. The expression of alkaline phosphatase, the degree of mineralization, the expression of osteogenic-related genes and target genes during osteogenic differentiation of cells were measured at corresponding time points.
RESULTS AND CONCLUSION: (1) 9 253 differentially expressed genes, 2 161 osteoporosis-related targets, and 326 neohesperidin-related targets were screened. There were 53 common targets among the three. All 53 genes were up-regulated in osteoporosis samples. The PPI network screened the target gene PRKACA of research significance. GO function and KEGG pathway enrichment analysis showed that neohesperidin’s treatment of osteoporosis through PRKACA target mainly depended on biological processes such as protein phosphorylation and protein autophosphorylation, acting on endocrine resistance, proteoglycan in cancer, and estrogen signaling pathway to play a therapeutic role. Molecular docking results showed that neohesperidin had a certain binding ability to the protein corresponding to the target PRKACA. (2) The results of alkaline phosphatase staining showed that neohesperidin could promote the expression of alkaline phosphatase in the early stage of osteogenic differentiation of mesenchymal stem cells. Alizarin red staining showed that neohesperidin could promote the mineralization of osteogenic differentiation of mesenchymal stem cells. RT-qPCR results showed that neohesperidin could increase the mRNA expression of alkaline phosphatase, PRKACA, and osteocalcin. (3) These results indicate that neohesperidin may promote osteogenic differentiation through PRKACA target on the estrogen signaling pathway to prevent and treat osteoporosis.

Key words: bioinformatics, osteoporosis, neohesperidin, bone marrow mesenchymal stem cell, PRKACA gene

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