Department of stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences&Peking Union Medical College, Beijing, China.
Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China; Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences&Peking Union Medical College, Beijing, China.
J Proteomics. 2022 Feb 10;252:104421. doi: 10.1016/j.jprot.2021.104421. Epub 2021 Nov 18.
Gingival crevicular fluid (GCF) is a promising biofluid for disease identification and biomarker searching in periodontology. This study aimed to investigate the possible influencing factors, including tooth site, sex and age, on the normal GCF proteome. Forty periodontal healthy adults were randomly divided into a training group and a testing group. In the training group, GCF samples from 12 adults were analyzed using the iTRAQ 2D LC-MS/MS method. The influencing factors, tooth site (including periodontitis-susceptible and -insusceptible tooth sites), sex and age, and related differential proteins were defined and functionally annotated. The important differential proteins from 28 adults in the testing group were then validated by PRM analysis. An average of approximately 5 differential proteins were found between tooth sites of periodontitis-susceptible and -insusceptible sites. Eighty-five differentially expressed proteins were obtained between sexes in the young group, while only 7 sex-associated proteins were found in the old group. A total of 203 and 235 age-associated proteins were found in the male and female groups, respectively. The differential protein functional annotation showed that sex-related proteins were mainly related to immune function and metabolism, and age-related proteins were primarily associated with inflammation, lipid metabolism and immune function. In the testing group, a total of 4 sex-related proteins and 12 age-related proteins were validated by PRM analysis. SIGNIFICANCE: The influences of tooth site, sex and age in GCF proteomics in periodontal health were firstly analyzed using LC-MS/MS. Tooth site showed a small influence on the GCF proteome. The sex effect was significant in young adults, but its influence in old adults is small. Age is an important impact factor for the GCF proteome. These findings enrich the knowledge about the normal GCF proteome and might benefit future disease analyses.
牙龈沟液（GCF）是一种有前途的生物流体，可用于牙周病的疾病识别和生物标志物搜索。本研究旨在探讨包括牙位、性别和年龄在内的可能影响因素对正常 GCF 蛋白质组的影响。将 40 名牙周健康成年人随机分为训练组和测试组。在训练组中，使用 iTRAQ 2D LC-MS/MS 方法分析了 12 名成年人的 GCF 样本。定义了影响因素（包括牙周病易感和不易感牙位、性别和年龄）、相关差异蛋白，并进行了功能注释。然后，通过 PRM 分析验证了测试组中 28 名成年人的重要差异蛋白。在易感和不易感的牙周病牙位之间，平均约有 5 个差异蛋白。在年轻组中，男女之间获得了 85 个差异表达蛋白，而在老年组中仅发现了 7 个与性别相关的蛋白。在男性和女性组中，分别发现了 203 个和 235 个与年龄相关的蛋白。差异蛋白功能注释表明，与性别相关的蛋白主要与免疫功能和代谢有关，与年龄相关的蛋白主要与炎症、脂质代谢和免疫功能有关。在测试组中，通过 PRM 分析共验证了 4 个与性别相关的蛋白和 12 个与年龄相关的蛋白。意义：本研究首次采用 LC-MS/MS 分析了牙周健康中 GCF 蛋白质组中牙位、性别和年龄的影响。牙位对 GCF 蛋白质组的影响较小。在年轻成年人中，性别影响显著，但在老年成年人中影响较小。年龄是 GCF 蛋白质组的重要影响因素。这些发现丰富了正常 GCF 蛋白质组的知识，可能有助于未来的疾病分析。
