重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

[The effect of concentrated growth factor on the biological performance of human dental pulp stem cells under oxidative stress status].

氧化应激 牙髓干细胞 牙髓(牙) 干细胞 牙科 生物 细胞生物学 医学 内分泌学
作者
Hao Chen,Hang Zhang,Xiaoguang Zhao,Li He
出处
期刊:PubMed 卷期号:60 (2): 152-160
标识
DOI:10.3760/cma.j.cn112144-20241021-00391
摘要

Objective: To investigate the effect of concentrated growth factor (CGF) on the biological performance of human dental pulp stem cells (hDPSCs) under oxidative stress status induced by hydrogen peroxide (H2O2). Methods: The hDPSCs were isolated by using tissue block separation method from healthy permanent teeth extracted for orthodontic reason. hDPSCs surface markers CD34, CD45, CD90 and CD105 were detected by flow cytometry. Alkaline phosphatase (ALP), alizarin red S (ARS), oil red O staining and colony formation assay were used to identify hDPSCs. After the cell counting kit-8 (CCK-8) detection, the optimal H2O2 concentration was used to construct the hDPSCs oxidative stress model. CGF conditioned medium was prepared by repeated freeze-thaw methods. After CCK-8 detection, the optimum CGF concentration was chosen for the subsequent experiments. The hDPSCs were divided into control group, H2O2 (only H2O2 processing), H2O2+CGF group (H2O2 processing in combination with the CGF) and CGF group (only CGF processing). Subsequent experiments were performed according to these groups. The oxidative stress model was verified by reactive oxygen species, β-galactosidase staining and Western blotting. The effects of CGF on the proliferation and migration of hDPSCs under oxidative stress status were detected by CCK-8 and cell scratch assay, respectively. ALP activity and ARS staining were used to detect the effect of CGF on the osteogenic differentiation of hDPSCs under oxidative stress status. The mRNA expression levels of odontogenesis related genes were detected by real-time fluorescence quantitative PCR (RT-qPCR), and the expression levels of odontogenesis and osteogenesis related proteins were detected by Western blotting. Results: Isolated hDPSCs showed positive expression of mesenchymal stem cells surface markers of CD90, CD105, and negative expression of hematopoietic stem cells surface markers CD34, CD45. The hDPSCs were proved to have the capacity of osteogenic, adipogenic differentiation and clone formation. The optimal concentration to construct the oxidative stress model was 200 μmol/L H2O2. Twenty percent CGF was the optimal concentration for subsequent experiments. Compared with the control group, the expression of aging protein p53 was significantly up-regulated from (0.82±0.12) to (1.19±0.14) in H2O2 group (P<0.05), with deepened β-galactosidase staining and increased fluorescence intensity of reactive oxygen species. The proliferative capacity of cells in H2O2+CGF group on day 1, 3, 5 and 7 (0.23±0.01, 0.50±0.02, 1.60±0.07, 1.80±0.21) were all higher than in H2O2 group (0.15±0.01, 0.14±0.02, 0.50±0.03, 0.90±0.09) (P<0.01). Cell healing capacity of cells in H2O2+CGF group at 12 h and 24 h (0.47±0.07, 0.58±0.44) also increased compared with the H2O2 group (0.36±0.02, 0.44±0.02) (P<0.05), and similar results in the activity of ALP and the formation of mineralized nodules. On day 28, the mRNA expressions of dentin sialophosphoprotein (0.52±0.16) and dental matrix protein 1(DMP-1) (0.39±0.13) in H2O2 group were all significantly lower than those in H2O2+CGF group (0.96±0.24, 0.83±0.30, respectively) and CGF group (1.12±0.18, 1.23±0.19, respectively) (P<0.05). On day 28, the expressions of odontogenesis related protein DMP-1 (0.27±0.04) and osteogenesis related protein Runt-related transcription factor-2 (0.42±0.15) in H2O2 group were all significantly lower than those in H2O2+CGF group (0.66±0.18, 0.68±0.04) and CGF group (1.15±0.13, 1.06±0.19, respectively) (P<0.05). Conclusions: H2O2 can induce oxidative stress in hDPSCs, while CGF can promote proliferation, migration, odontogenic and osteogenic differentiation of hDPSCs under oxidative stress status.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
aki应助乌鸡国国王采纳,获得10
刚刚
王易云发布了新的文献求助10
1秒前
yanj520925发布了新的文献求助10
1秒前
小二郎应助迅速如柏采纳,获得10
1秒前
1秒前
小粉丝完成签到,获得积分10
2秒前
3秒前
科研通AI6应助幸福乐蕊采纳,获得10
4秒前
4秒前
xy发布了新的文献求助10
5秒前
李健应助111采纳,获得10
5秒前
5秒前
5秒前
领导范儿应助Li采纳,获得10
6秒前
汪格森发布了新的文献求助10
8秒前
8秒前
郭素玲发布了新的文献求助10
8秒前
jing发布了新的文献求助30
9秒前
xueyu发布了新的文献求助10
9秒前
风清扬发布了新的文献求助30
9秒前
哭泣灯泡应助ll采纳,获得10
10秒前
kuoh224发布了新的文献求助10
13秒前
13秒前
14秒前
Tonson应助杆杆采纳,获得10
14秒前
15秒前
16秒前
FashionBoy应助汪格森采纳,获得10
16秒前
落尘完成签到,获得积分10
16秒前
SciGPT应助66666采纳,获得10
17秒前
17秒前
17秒前
18秒前
迅速如柏发布了新的文献求助10
18秒前
20秒前
20秒前
21秒前
呀呀呀呀发布了新的文献求助10
22秒前
哭泣的小之完成签到,获得积分10
23秒前
FashionBoy应助Hui采纳,获得10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5467931
求助须知:如何正确求助?哪些是违规求助? 4571421
关于积分的说明 14330283
捐赠科研通 4497999
什么是DOI,文献DOI怎么找? 2464266
邀请新用户注册赠送积分活动 1453006
关于科研通互助平台的介绍 1427707