MULTIVARIATE ANALYSIS OF SALIVA ANTIMICROBIAL PROTEINS

最近的研究表明，唾液溶菌酶（Lz），乳铁蛋白（Lf）， 过氧化物酶（Spx）和分泌型伊加（sIgA）可能以共同的方式相互作用。 抗菌系统 所观察到的相互作用可以是协同的或 拮抗，并似乎随着蛋白质的浓度而变化 涉案 这些发现对临床研究有直接的意义。 Lz、Lf、Spx或sIgA对口腔健康和生态的影响。 先前 临床研究集中在单个抗微生物蛋白上， 结果通常是不确定的。 一个可能的原因是， 体内效应是药物所有组分之间相互作用的结果。 唾液抗菌系统 因此，多蛋白质方法可以 需要设置 这类研究需要采用多变量数据处理方法 分析. 拟议的研究将描述Lz，Lf， 从大规模人群样本中刺激腮腺唾液中的Spx和sIgA。 它的具体目标是：1）识别相互关联的主要成分 在Lz、Lf、Spx和sIgA之间（针对流速和总蛋白质进行调整）; 2） 为了鉴定显示Lz，Lf， Spx和sIgA（针对流速和总蛋白进行调整）; 3）鉴定 可能影响唾液Lz、Lf、Spx水平的外来变量， sIgA; 4）提供统计上有效的系数，其可用于 根据唾液抗菌蛋白对未知个体进行分类 剖面; 5）调查纵向稳定性的成员资格， 获得的分组。 对于目标1、2和4，使用来自受试者的刺激腮腺唾液样品， 随机抽取256名大学生作为横断面样本， 测定Lz、Lf、Spx、sIgA和总蛋白。 受试者还将 填写目标3的健康状况调查表。 关于目标5，a 将从横向样本库中随机抽取64人， 两周后采集的唾液样本的结果将 比较了 使用的统计方法包括主成分 分析、聚类分析和判别分析。 信息 将有助于了解唾液的作用， 抗微生物蛋白系统在口腔健康和生态学中的作用。 远程 拟议研究的目标是产生关于这一作用的假设 可在临床研究和对照研究中进行检测 实验模型

Recent studies suggest that salivary lysozyme (Lz), lactoferrin (Lf), peroxidase (Spx) and secretory IgA (sIgA) may interact in a common antibacterial system. Interactions obeserved can be synergistic or antagonistic, and appear to vary with concentrations of the proteins involved. Those findings have direct implications for clinical studies of the effects of Lz, Lf, Spx, or sIgA on oral health and ecology. Previous clinical research has focused on individual antimicrobial proteins, and the results have generally been inconclusive. A possible reason may be that in vivo effects are the outcome of interaction between all components of the salivary antimicrobial system. A multiple protein approach therefore may be needed. Such studies will require a multivariate approach to data analysis. The proposed study will describe patterns of common variation of Lz, Lf, Spx and sIgA in stimulated parotid saliva from a large population sample. Its specific aims are 1) to identify major components of intercorrelation between Lz, Lf, Spx and sIgA (adjusted for flow rate and total protein); 2) to identify groups of subjects showing similar salivary profiles of Lz, Lf, Spx and sIgA (adjusted for flow rate and total protein); 3) to identify extraneous variables which may influence salivary levels of Lz, Lf, Spx and sIgA; 4) to provide statistically valid coefficients which can be used to classify unknown individuals according to salivary antimicrobial protein profile; and 5) to investigate the longitudinal stability of membership in groupings obtained. For objectives 1, 2 and 4, samples of stimulated parotid saliva from a randomly-selected cross-sectional sample of 256 university sophomores will be assayed for Lz, Lf, Spx, sIgA and total protein. Subjects will also fill out a health status questionnaire for objective 3. For objective 5, a random sample of 64 persons will be drawn from the cross-sectional pool, and results obtained from saliva samples taken two weeks apart will be compared. Statistical methods to be used include principle components analysis, cluster analysis, and discriminant analysis. Information obtained will contribute to understanding of the role of the salivary antimicrobial protein system in oral health and ecology. The long-range goal of the proposed study is to generate hypotheses concerning that role which may be tested in clinical investigations and in controlled experimental models.