缺氧诱导因子 1α 促进基质金属蛋白酶 2/9 和牙周炎的炎症反应

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Biochemistry and Biophysics Pub Date : 2024-09-28 DOI:10.1007/s12013-024-01550-z
Yanyang Ning, Weilan Li, Li Zou, Hongren Shen, Zhijian Su
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引用次数: 0

摘要

牙周炎是一种以牙周炎症和组织破坏为特征的流行病,缺氧是其发病机制的一个促成因素。缺氧诱导因子 1α(HIF-1α)在协调对缺氧微环境的适应性反应中起着至关重要的作用,并与各种炎症相关疾病有牵连。了解牙周炎中 HIF-1α、基质金属蛋白酶(MMPs)和炎症反应之间的相互作用有助于深入了解其分子机制。我们研究了牙周炎患者牙龈缝隙液(GCF)和牙周韧带干细胞(PDLSCs)中HIF-1α、MMP2和MMP9之间的关系。使用酶联免疫吸附试验(ELISA)和实时 PCR(RT-PCR)评估了 HIF-1α、MMP2、MMP9 和炎症因子(IL-6、IL-1β、TNF-α)的表达水平。此外,还通过碱性磷酸酶活性鉴定了 PDLSCs 的成骨分化。与对照组相比,牙周炎患者 GCF 中的 HIF-1α、MMP2 和 MMP9 水平显著升高。研究发现,HIF-1α和MMP2/MMP9之间以及与IL-6、IL-1β和TNF-α之间存在正相关。对PDLSCs中HIF-1α表达的调节表明,它参与了MMP2/9的分泌和炎症反应,抑制HIF-1α可减轻这些影响。此外,抑制 HIF-1α 还能缓解炎症刺激引起的成骨分化减少。我们的研究结果阐明了 HIF-1α 在牙周炎的 MMP 表达、炎症反应和成骨分化中的调控作用。总之,以 HIF-1α 信号通路为靶点可为控制牙周炎和促进牙周组织再生提供治疗机会。
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Hypoxia-inducible Factor 1α Contributes to Matrix Metalloproteinases 2/9 and Inflammatory Responses in Periodontitis.

Periodontitis is a prevalent condition characterized by inflammation and tissue destruction within the periodontium, with hypoxia emerging as a contributing factor to its pathogenesis. Hypoxia-inducible factor 1α (HIF-1α) has a crucial role in orchestrating adaptive responses to hypoxic microenvironments and has been implicated in various inflammatory-related diseases. Understanding the interplay between HIF-1α, matrix metalloproteinases (MMPs), and inflammatory responses in periodontitis could provide insights into its molecular mechanisms. We investigated the relationship between HIF-1α, MMP2, and MMP9 in gingival crevicular fluid (GCF) and periodontal ligament stem cells (PDLSCs) from periodontitis patients. The expression levels of HIF-1α, MMP2, MMP9, and inflammatory factors (IL-6, IL-1β, TNF-α) were assessed using enzyme-linked immunosorbent assay (ELISA) and real-time PCR (RT-PCR). Additionally, osteogenic differentiation of PDLSCs was identified by alkaline phosphatase activity. Significantly elevated levels of HIF-1α, MMP2, and MMP9 were observed in GCF of periodontitis patients compared to controls. Positive correlations were found between HIF-1α and MMP2/MMP9, as well as with IL-6, IL-1β, and TNF-α. Modulation of HIF-1α expression in PDLSCs revealed its involvement in MMP2/9 secretion and inflammatory responses, with inhibition of HIF-1α mitigating these effects. Furthermore, HIF-1α inhibition alleviated the reduction in osteogenic differentiation induced by inflammatory stimuli. Our findings elucidate the regulatory role of HIF-1α in MMP expression, inflammatory responses, and osteogenic differentiation in periodontitis. In conclusion, targeting HIF-1α signaling pathways may offer therapeutic opportunities for managing periodontitis and promoting periodontal tissue regeneration.

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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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