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)和分泌性免疫球蛋白A(SIgA)可能在共同的 抗菌系统。观察到的相互作用可以是协同的或 拮抗的，似乎随着蛋白质浓度的不同而不同 牵涉其中。这些发现对临床研究有直接的影响。 LZ、LF、Spx或SIgA对口腔健康和生态的影响。上一首 临床研究主要集中在个体抗菌蛋白上，而 结果通常是不确定的。一个可能的原因可能是在 活体效应是生物的所有成分相互作用的结果 唾液抗菌系统。因此，一种多蛋白质方法可能 被需要。这样的研究将需要对数据采取多变量方法 分析。 拟议的研究将描述LZ，Lf，Lf， 大样本刺激腮腺唾液中的SPX和SIgA。 它的具体目标是1)确定相互关联的主要组成部分 LZ、LF、Spx和SIgA之间(根据流速和总蛋白进行调整)；2) 为了识别表现出相似唾液特征的受试者的LZ，LF， SPX和SIgA(根据流速和总蛋白进行调整)；3)鉴定 可能影响唾液LZ、Lf、Spx和Spx水平的外部变量 SIGA；4)提供统计上有效的系数，可用于 根据唾液抗菌蛋白对未知个体进行分类 以及5)调查成员的纵向稳定性 已获得分组。 对于目标1、目标2和目标4，来自 随机抽取256名大学二年级学生的横截面样本 测定LZ、Lf、Spx、SIgA和总蛋白。受试者也将 填写目标3的健康状况调查问卷。对于目标5， 将从横断面池中随机抽取人， 而从相隔两周的唾液样本中获得的结果将是 比较一下。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 将有助于理解唾液的作用 口腔健康和生态学中的抗菌蛋白质系统。长距离的 拟议研究的目标是产生关于这一角色的假设 它可以在临床研究中进行测试，并在对照中 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.