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龈上细菌口腔感染诱导的牙周炎和丰富的 miRNA 表达动力学。

Supragingival Bacterium Oral Infection-Induced Periodontitis and Robust miRNA Expression Kinetics.

机构信息

Department of Periodontology, College of Dentistry, University of Florida, Gainesville, FL 32610, USA.

Department of Community Dentistry and Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL 32610, USA.

出版信息

Int J Mol Sci. 2024 Jun 5;25(11):6217. doi: 10.3390/ijms25116217.


DOI:10.3390/ijms25116217
PMID:38892405
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11172800/
Abstract

(, Sg) is one of the early colonizing, supragingival commensal bacterium normally associated with oral health in human dental plaque. MicroRNAs (miRNAs) play an important role in the inflammation-mediated pathways and are involved in periodontal disease (PD) pathogenesis. PD is a polymicrobial dysbiotic immune-inflammatory disease initiated by microbes in the gingival sulcus/pockets. The objective of this study is to determine the global miRNA expression kinetics in DL1-infected C57BL/6J mice. All mice were randomly divided into four groups ( = 10 mice/group; 5 males and 5 females). Bacterial infection was performed in mice at 8 weeks and 16 weeks, mice were euthanized, and tissues harvested for analysis. We analyzed differentially expressed (DE) miRNAs in the mandibles of -infected mice. Gingival colonization/infection by and alveolar bone resorption (ABR) was confirmed. All the -infected mice at two specific time points showed bacterial colonization (100%) in the gingival surface, and a significant increase in mandible and maxilla ABR ( < 0.0001). miRNA profiling revealed 191 upregulated miRNAs (miR-375, miR-34b-5p) and 22 downregulated miRNAs (miR-133, miR-1224) in the mandibles of -infected mice at the 8-week mark. Conversely, at 16 weeks post-infection, 10 miRNAs (miR-1902, miR-203) were upregulated and 32 miRNAs (miR-1937c, miR-720) were downregulated. Two miRNAs, miR-210 and miR-423-5p, were commonly upregulated, and miR-2135 and miR-145 were commonly downregulated in both 8- and 16-week-infected mice mandibles. Furthermore, we employed five machine learning (ML) algorithms to assess how the number of miRNA copies correlates with infections in mice. In the ML analyses, miR-22 and miR-30c (8-week), miR-720 and miR-339-5p (16-week), and miR-720, miR-22, and miR-339-5p (combined 8- and 16-week) emerged as the most influential miRNAs.

摘要

(, Sg) 是一种早期定植、超龈上共生菌,通常与人类牙菌斑中的口腔健康有关。MicroRNAs (miRNAs) 在炎症介导的途径中发挥重要作用,并参与牙周病 (PD) 的发病机制。PD 是一种由微生物引发的多微生物失调免疫炎症性疾病,起始于牙龈沟/袋中的微生物。本研究的目的是确定感染小鼠下颌骨中的全局 miRNA 表达动力学。所有小鼠随机分为四组(每组 10 只小鼠;5 只雄性,5 只雌性)。在 8 周和 16 周时对小鼠进行细菌感染,处死小鼠并采集组织进行分析。我们分析了感染小鼠下颌骨中的差异表达 (DE) miRNAs。确认了细菌对牙龈的定植/感染和牙槽骨吸收 (ABR)。在两个特定时间点,所有感染的小鼠均显示牙龈表面的细菌定植(100%),下颌骨和上颌骨 ABR 显著增加(< 0.0001)。miRNA 谱分析显示,在感染后 8 周,感染小鼠下颌骨中 191 个 miRNA(miR-375、miR-34b-5p)上调,22 个 miRNA(miR-133、miR-1224)下调。相反,在感染后 16 周,10 个 miRNA(miR-1902、miR-203)上调,32 个 miRNA(miR-1937c、miR-720)下调。两个 miRNA,miR-210 和 miR-423-5p,在感染 8 周和 16 周的小鼠下颌骨中均上调,而 miR-2135 和 miR-145 则下调。此外,我们采用五种机器学习 (ML) 算法来评估 miRNA 拷贝数与小鼠感染之间的相关性。在 ML 分析中,miR-22 和 miR-30c(8 周)、miR-720 和 miR-339-5p(16 周)以及 miR-720、miR-22 和 miR-339-5p(8 周和 16 周合并)成为最有影响力的 miRNA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/6fcd9c5d8489/ijms-25-06217-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/cc120ac952e7/ijms-25-06217-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/158dd22866fd/ijms-25-06217-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/f707d7baaa70/ijms-25-06217-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/3d9e142188dc/ijms-25-06217-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/c7ff8b834db3/ijms-25-06217-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/926fe49b0c00/ijms-25-06217-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/e4aac295e083/ijms-25-06217-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/6fcd9c5d8489/ijms-25-06217-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/cc120ac952e7/ijms-25-06217-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/158dd22866fd/ijms-25-06217-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/f707d7baaa70/ijms-25-06217-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/3d9e142188dc/ijms-25-06217-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/c7ff8b834db3/ijms-25-06217-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/926fe49b0c00/ijms-25-06217-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/e4aac295e083/ijms-25-06217-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f11/11172800/6fcd9c5d8489/ijms-25-06217-g008.jpg

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[3]
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[4]
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本文引用的文献

[1]
Differentially expressed miRNAs associated with generalized aggressive periodontitis.

Clin Oral Investig. 2023-12-21

[2]
Unique miRomics Expression Profiles in -Infected Mandibles during Periodontitis Using Machine Learning.

Int J Mol Sci. 2023-11-16

[3]
Proposing new early detection indicators for pancreatic cancer: Combining machine learning and neural networks for serum miRNA-based diagnostic model.

Front Oncol. 2023-8-3

[4]
New putative periodontopathogens and periodontal health-associated species: A systematic review and meta-analysis.

J Periodontal Res. 2023-10

[5]
Oral Spirochete Intraoral Infection Reveals Unique miR-133a, miR-486, miR-126-3p, miR-126-5p miRNA Expression Kinetics during Periodontitis.

Int J Mol Sci. 2023-7-28

[6]
Text mining-based identification of promising miRNA biomarkers for diabetes mellitus.

Front Endocrinol (Lausanne). 2023

[7]
Characterisation of miRNA Expression in Dental Pulp Cells during Epigenetically-Driven Reparative Processes.

Int J Mol Sci. 2023-5-11

[8]
MicroRNA-205 promotes hair regeneration by modulating mechanical properties of hair follicle stem cells.

Proc Natl Acad Sci U S A. 2023-5-30

[9]
miR-1187 induces podocyte injury and diabetic nephropathy through autophagy.

Diab Vasc Dis Res. 2023

[10]
MiR-30 Family: A Novel Avenue for Treating Bone and Joint Diseases?

Int J Med Sci. 2023

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