Alterations and Correlations in Microbial Community and Metabolome Characteristics in Generalized Aggressive Periodontitis

Meng Shi; Yiping Wei; Yong Nie; Cui Wang; Fei Sun; Wenting Jiang; Wenjie Hu; Xiaolei Wu

doi:10.3389/fmicb.2020.573196

Alterations and Correlations in Microbial Community and Metabolome Characteristics in Generalized Aggressive Periodontitis

Front Microbiol. 2020 Nov 30:11:573196. doi: 10.3389/fmicb.2020.573196. eCollection 2020.

Authors

Meng Shi¹, Yiping Wei¹, Yong Nie², Cui Wang¹, Fei Sun¹, Wenting Jiang¹, Wenjie Hu¹, Xiaolei Wu²

Affiliations

¹ Department of Periodontology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
² Laboratory of Environmental Microbiology, Department of Energy and Resources Engineering, College of Engineering, Peking University, Beijing, China.

Abstract

This study aimed to characterize the microbial community and metabolic profiles in generalized aggressive periodontitis (AgP) using 16S ribosomal RNA (rRNA) gene high-throughput sequencing and gas chromatography-mass spectrometry (GC-MS). A total of 146 subgingival plaque samples and 50 gingival crevicular fluid (GCF) samples were collected from 24 patients with AgP and 10 periodontally healthy subjects (PH). Striking differences were observed in subgingival microbiome and GCF metabolomics between patients with AgP and PH, but not between samples with different probing depths (PDs). Metabolomics analysis combined with enrichment analysis showed that periodontitis significantly altered the concentration of compounds associated with biosynthesis of amino acids (e.g., alanine, leucine, isoleucine, and valine), galactose metabolism (e.g., myo-inositol, galactose, glucose, and hexitol), and pyrimidine metabolism (e.g., uracil, uridine, beta alanine, and thymine). Correlation analysis showed that the genera with significant difference between AgP and PH were usually significantly correlated with more metabolites, such as Aggregatibacter, Rothia, Peptostreptococcaceae_[XI][G-5], and Bacteroidaceae_[G-1]. While glucose and oxoproline had the most significant correlations with microorganisms. Our results revealed distinct microbial communities and metabolic profiles between AgP and PH. The significant correlation between microbial taxa and metabolites suggested the possible mechanisms for periodontitis. Our results also provided effective approaches for detecting periodontal disease and managing periodontitis.

Keywords: aggressive periodontitis; gas chromatography-mass spectrometry; high-throughput nucleotide sequencing; metabolome; subgingival microbiome.