Cross-talk between clinical and host-response parameters of periodontitis in smokers.
Cross-talk between clinical and host-response parameters of periodontitis in smokers.
复制标题
吸烟者牙周炎的临床和宿主反应参数之间的跨语。
DOI：
10.1111/jre.12397
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发表时间：
2017-06
影响因子：
3.5
通讯作者：
Ebersole JL
中科院分区：
文献类型：
--
作者：
Nagarajan R;Miller CS;Dawson D 3rd;Al-Sabbagh M;Ebersole JL
牙周病是一个主要的公共卫生问题，导致牙齿脱落，也表明与几种慢性全身性疾病。吸烟是发展许多系统性疾病以及牙周炎的主要危险因素。虽然吸烟者患牙周炎导致牙齿脱落的风险明显增加，但人群对吸烟相关疾病的易感性各不相同。这项调查的重点是确定四个广泛的变量组成的差异：（a）主机响应分子，（B）牙周临床参数，（c）牙周病原体和口腔牙周细菌挑战的抗体措施，（d）在吸烟人群（n = 171）和无牙周炎（n = 117）的其他变量的利益。随后，贝叶斯网络结构化学习技术（BNSL）技术被用来调查潜在的协会和四个广泛的变量之间的串扰。BNSL揭示了两个广泛的社区之间的非牙周炎和牙周炎吸烟人群具有显着不同的拓扑结构。所得到的网络中的边缘的置信度也显示出牙周炎和非牙周炎组内和组间的显著变化。研究结果验证了已知的关联，并发现了新的关联，这些关联具有最小的优先级，可能需要进一步研究和新的假设生成。在牙周炎的情况下，临床变量和细菌抗体谱之间的串扰特别明显，并且由对牙龈卟啉单胞菌的抗体应答谱介导。
Periodontal diseases are a major public health concern leading to tooth loss and also shown to be associated with several chronic systemic diseases. Smoking is a major risk factor for developing numerous systemic diseases, as well as periodontitis. While it is clear that smokers have a significantly enhanced risk for developing periodontitis leading to tooth loss, the population varies with regards to susceptibility to disease associated with smoking. This investigation focuses on identifying differences in four broad sets of variables consisting of: (a) host response molecules, (b) periodontal clinical parameters, (c) antibody measures for periodontal pathogens and oral commensal bacteria challenge, and (d) other variables of interest in a smoking population with (n = 171) and without periodontitis (n = 117). Subsequently, Bayesian network structured learning techniques (BNSL) techniques were used to investigate potential associations and cross-talk between the four broad sets of variables. BNSL revealed two broad communities with markedly different topology between the non-periodontitis and periodontitis smoking population. Confidence of the edges in the resulting network also showed marked variations within and between the periodontitis and non-periodontitis groups. The results presented validated known associations, as well as discovered new ones with minimal precedence that may warrant further investigation and novel hypothesis generation. Cross-talk between the clinical variables and antibody profiles of bacteria were especially pronounced in the case of periodontitis and mediated by the antibody response profile to P. gingivalis.