Molecular Differences between Chronic and Aggressive Periodontitis

Molecular Differences between Chronic and Aggressive Periodontitis
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DOI:
10.1177/0022034513506011
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发表时间:
2013-12-01
影响因子:
7.6
通讯作者:
Papapanou, P. N.
Papapanou, P. N.
中科院分区:
医学1区
文献类型:
--
作者:
Kebschull, M.;Guarnieri, P.;Papapanou, P. N.

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慢性牙周炎(CP)和侵袭性牙周炎(AgP)这两种主要的牙周炎没有表现出足够明显的组织病理学特征或微生物学/免疫学特征。我们使用分子分析来探索CP和AgP之间的生物学差异,随后使用包括内部验证在内的机器学习算法进行监督分类。我们使用了来自120名全身健康的非吸烟者(65名CP患者和55名AgP患者)的310例健康或患病牙龈组织活检的全基因组基因表达图谱,每个人都有2个患病的牙龈乳头(n = 241;探针出血,探针深度4毫米,临床附着丧失3毫米),如果有的话,有一个健康的乳头(n = 69;探针无出血,探针深度4毫米,临床附着丧失4毫米)。我们的分析显示,AgP和CP的牙龈组织转录谱差异有限,与免疫应答、细胞凋亡和信号转导相关的基因在AgP中过表达,而与上皮完整性和代谢相关的基因在CP中过表达。不同的分类算法区分CP和AgP的曲线下面积在0.63到0.99之间。基因表达的微小差异和高度可变的分类器性能表明在已建立的AgP和CP病变之间存在有限的差异。未来的分析可能会促进一种新的、基于分子谱的牙周炎固有分类的发展。
The 2 major forms of periodontitis, chronic (CP) and aggressive (AgP), do not display sufficiently distinct histopathological characteristics or microbiological/immunological features. We used molecular profiling to explore biological differences between CP and AgP and subsequently carried out supervised classification using machine-learning algorithms including an internal validation. We used whole-genome gene expression profiles from 310 healthy' or diseased' gingival tissue biopsies from 120 systemically healthy non-smokers, 65 with CP and 55 with AgP, each contributing with 2 diseased' gingival papillae (n = 241; with bleeding-on-probing, probing depth 4 mm, and clinical attachment loss 3 mm), and, when available, a healthy' papilla (n = 69; no bleeding-on-probing, probing depth 4 mm, and clinical attachment loss 4 mm). Our analyses revealed limited differences between the gingival tissue transcriptional profiles of AgP and CP, with genes related to immune responses, apoptosis, and signal transduction overexpressed in AgP, and genes related to epithelial integrity and metabolism overexpressed in CP. Different classifying algorithms discriminated CP from AgP with an area under the curve ranging from 0.63 to 0.99. The small differences in gene expression and the highly variable classifier performance suggest limited dissimilarities between established AgP and CP lesions. Future analyses may facilitate the development of a novel, intrinsic' classification of periodontitis based on molecular profiling.