Leite Fábio R M, Nascimento Gustavo G, Møller Holger J, Belibasakis Georgios N, Bostanci Nagihan, Smith Patricio C, López Rodrigo
Section for Periodontology, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark.
J Clin Periodontol. 2022 Jan;49(1):67-75. doi: 10.1111/jcpe.13565. Epub 2021 Oct 27.
To investigate the relationship between cytokine profiles and "fast" and "slow" patterns of gingival inflammation development.
Forty-two adults participated in an experimental gingivitis study, comprising a 2-week hygiene phase (clinical examination and professional cleaning); a 3-week induction phase (absence of oral hygiene); and a 2-week resolution phase (re-establishment of oral hygiene). Plaque and gingival inflammation scores were assessed. Interferon-gamma (IFN-γ), interleukin (IL)-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-13, and tumour necrosis factor-alpha (TNF-α) from gingival crevicular fluid were collected and measured by multiplex ELISA. Group-based-trajectory-modelling (GBTM) was used to model cytokine profiles over the induction phase. The effect of gingival inflammation on cytokine levels over time was estimated with mixed-effects modelling.
GBTM analysis revealed two cytokine profiles, "non-organized response" (IL-4, IL-6, IL-8, IL-12, and IL-13) and "organized response" (IL-2, IL-10, and TNF-α). Among the "slow" responders, neither cytokine profile was associated with gingivitis. In contrast, a "fast" response was associated with a higher "non-organized response" factor (coef. 0.14) and a lower "organized response" factor (coef. -0.03).
A "fast" gingivitis development was associated with a higher "non-organized response" and a lower "organized response", which may elucidate the role of individual variability in gingivitis susceptibility.
研究细胞因子谱与牙龈炎症发展的“快速”和“缓慢”模式之间的关系。
42名成年人参与了一项实验性牙龈炎研究,包括为期2周的卫生阶段(临床检查和专业清洁);为期3周的诱导阶段(无口腔卫生措施);以及为期2周的消退阶段(重新建立口腔卫生)。评估菌斑和牙龈炎症评分。收集龈沟液中的干扰素-γ(IFN-γ)、白细胞介素(IL)-1β、IL-2、IL-4、IL-6、IL-8、IL-10、IL-12p70、IL-13和肿瘤坏死因子-α(TNF-α),并通过多重酶联免疫吸附测定法进行测量。使用基于组的轨迹建模(GBTM)对诱导阶段的细胞因子谱进行建模。采用混合效应模型估计牙龈炎症随时间对细胞因子水平的影响。
GBTM分析揭示了两种细胞因子谱,即“无组织反应”(IL-4、IL-6、IL-8、IL-12和IL-13)和“有组织反应”(IL-2、IL-10和TNF-α)。在“缓慢”反应者中,两种细胞因子谱均与牙龈炎无关。相比之下,“快速”反应与较高的“无组织反应”因子(系数0.14)和较低的“有组织反应”因子(系数-0.03)相关。
“快速”的牙龈炎发展与较高的“无组织反应”和较低的“有组织反应”相关,这可能阐明个体差异在牙龈炎易感性中的作用。