Department of Human Microbiome, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Provincial Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Jinan 250012, Shandong, China.
School of Basic Medical Science, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.
Aging (Albany NY). 2020 May 7;12(9):7874-7907. doi: 10.18632/aging.103108.
The incidence of oral diseases is remarkably increased with age, and it may be related to oral microbiota. In this study, we systematically investigated the microbiota of gingival crevicular fluid (GCF), tongue back (TB) and saliva (SAL) from various age groups in healthy populations. The microbial diversity results indicated that the α-diversity of bacteria had a tendency to decrease in aging mouth, whereas the β-diversity showed an opposite increasing trend in all three sites. Next, the microbial structure exploration revealed a divergence in bacterial profile in three sites in response to aging, but the intersite differential bacteria demonstrated a uniform bell-shaped variation trend with age. Meanwhile, several age-differentiated genera were shared by GCF, SAL and TB sites, and the bacterial correlation analysis demonstrated a clear shift in the pattern of bacterial correlations with age. Moreover, both the intra- and intersite "core microbiome" showed significantly decreased bacterial diversities with age. Finally, the trending differential bacteria species were used as a biomarker to distinguish the different age groups, and the prediction accuracies in GCF were 0.998, 0.809, 0.668, 0.675 and 0.956. Our results revealed the characteristics of intra- and intersite bacterial succession with age, providing novel insights into senile oral diseases.
口腔疾病的发病率随年龄显著增加，这可能与口腔微生物群有关。在这项研究中，我们系统地研究了健康人群不同年龄组龈沟液（GCF）、舌背（TB）和唾液（SAL）中的微生物群。微生物多样性结果表明，随着年龄的增长，细菌的α多样性呈下降趋势，而β多样性在所有三个部位呈相反的上升趋势。接下来，微生物结构探索揭示了细菌在三个部位对衰老的反应存在差异，但不同部位的差异细菌表现出与年龄一致的钟形变化趋势。同时，GCF、SAL 和 TB 部位共有几个年龄分化的属，细菌相关性分析表明细菌相关性模式随年龄明显变化。此外，内位点和外位点的“核心微生物组”均表现出随年龄增长而显著降低的细菌多样性。最后，将趋势差异细菌物种用作区分不同年龄组的生物标志物，在 GCF 中的预测准确率分别为 0.998、0.809、0.668、0.675 和 0.956。我们的结果揭示了年龄相关的内位点和外位点细菌演替的特征，为老年口腔疾病提供了新的见解。
