Integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis: A pilot study
This pilot study was designed to identify the salivary microbial community and metabolic characteristics in patients with generalized periodontitis. A total of 36 saliva samples were collected from 13 patients with aggressive periodontitis (AgP), 13 patients with chronic periodontitis (ChP), and 10...
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2022.959416/full |
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| author | Yiping Wei Meng Shi Meng Shi Yong Nie Cui Wang Fei Sun Wenting Jiang Wenjie Hu Xiaolei Wu |
| author_facet | Yiping Wei Meng Shi Meng Shi Yong Nie Cui Wang Fei Sun Wenting Jiang Wenjie Hu Xiaolei Wu |
| author_sort | Yiping Wei |
| collection | DOAJ |
| description | This pilot study was designed to identify the salivary microbial community and metabolic characteristics in patients with generalized periodontitis. A total of 36 saliva samples were collected from 13 patients with aggressive periodontitis (AgP), 13 patients with chronic periodontitis (ChP), and 10 subjects with periodontal health (PH). The microbiome was evaluated using 16S rRNA gene high-throughput sequencing, and the metabolome was accessed using gas chromatography-mass spectrometry. The correlation between microbiomes and metabolomics was analyzed by Spearman’s correlation method. Our results revealed that the salivary microbial community and metabolite composition differed significantly between patients with periodontitis and healthy controls. Striking differences were found in the composition of salivary metabolites between AgP and ChP. The genera Treponema, Peptococcus, Catonella, Desulfobulbus, Peptostreptococcaceae_[XI] ([G-2], [G-3] [G-4], [G-6], and [G-9]), Bacteroidetes_[G-5], TM7_[G-5], Dialister, Eikenella, Fretibacterium, and Filifactor were present in higher levels in patients with periodontitis than in the healthy participants. The biochemical pathways that were significantly different between ChP and AgP included pyrimidine metabolism; alanine, aspartate, and glutamate metabolism; beta-alanine metabolism; citrate cycle; and arginine and proline metabolism. The differential metabolites between ChP and AgP groups, such as urea, beta-alanine, 3-aminoisobutyric acid, and thymine, showed the most significant correlations with the genera. These differential microorganisms and metabolites may be used as potential biomarkers to monitor the occurrence and development of periodontitis through the utilization of non-invasive and convenient saliva samples. This study reveals the integration of salivary microbial data and metabolomic data, which provides a foundation to further explore the potential mechanism of periodontitis. |
| first_indexed | 2024-04-12T18:18:48Z |
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| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-04-12T18:18:48Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Microbiology |
| spelling | doaj.art-6a1247d260674ff9a7d024b5582143442022-12-22T03:21:31ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2022-09-011310.3389/fmicb.2022.959416959416Integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis: A pilot studyYiping Wei0Meng Shi1Meng Shi2Yong Nie3Cui Wang4Fei Sun5Wenting Jiang6Wenjie Hu7Xiaolei Wu8Department of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, ChinaDepartment of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, ChinaBeijing Tiantan Hospital, Capital Medical University, Beijing, ChinaLaboratory of Environmental Microbiology, Department of Energy and Resources Engineering, College of Engineering, Peking University, Beijing, ChinaDepartment of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, ChinaDepartment of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, ChinaDepartment of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, ChinaDepartment of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, ChinaLaboratory of Environmental Microbiology, Department of Energy and Resources Engineering, College of Engineering, Peking University, Beijing, ChinaThis pilot study was designed to identify the salivary microbial community and metabolic characteristics in patients with generalized periodontitis. A total of 36 saliva samples were collected from 13 patients with aggressive periodontitis (AgP), 13 patients with chronic periodontitis (ChP), and 10 subjects with periodontal health (PH). The microbiome was evaluated using 16S rRNA gene high-throughput sequencing, and the metabolome was accessed using gas chromatography-mass spectrometry. The correlation between microbiomes and metabolomics was analyzed by Spearman’s correlation method. Our results revealed that the salivary microbial community and metabolite composition differed significantly between patients with periodontitis and healthy controls. Striking differences were found in the composition of salivary metabolites between AgP and ChP. The genera Treponema, Peptococcus, Catonella, Desulfobulbus, Peptostreptococcaceae_[XI] ([G-2], [G-3] [G-4], [G-6], and [G-9]), Bacteroidetes_[G-5], TM7_[G-5], Dialister, Eikenella, Fretibacterium, and Filifactor were present in higher levels in patients with periodontitis than in the healthy participants. The biochemical pathways that were significantly different between ChP and AgP included pyrimidine metabolism; alanine, aspartate, and glutamate metabolism; beta-alanine metabolism; citrate cycle; and arginine and proline metabolism. The differential metabolites between ChP and AgP groups, such as urea, beta-alanine, 3-aminoisobutyric acid, and thymine, showed the most significant correlations with the genera. These differential microorganisms and metabolites may be used as potential biomarkers to monitor the occurrence and development of periodontitis through the utilization of non-invasive and convenient saliva samples. This study reveals the integration of salivary microbial data and metabolomic data, which provides a foundation to further explore the potential mechanism of periodontitis.https://www.frontiersin.org/articles/10.3389/fmicb.2022.959416/fullperiodontitissalivary microbiomemetabolomehigh-throughput nucleotide sequencinggas chromatography-mass spectrometry |
| spellingShingle | Yiping Wei Meng Shi Meng Shi Yong Nie Cui Wang Fei Sun Wenting Jiang Wenjie Hu Xiaolei Wu Integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis: A pilot study Frontiers in Microbiology periodontitis salivary microbiome metabolome high-throughput nucleotide sequencing gas chromatography-mass spectrometry |
| title | Integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis: A pilot study |
| title_full | Integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis: A pilot study |
| title_fullStr | Integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis: A pilot study |
| title_full_unstemmed | Integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis: A pilot study |
| title_short | Integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis: A pilot study |
| title_sort | integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis a pilot study |
| topic | periodontitis salivary microbiome metabolome high-throughput nucleotide sequencing gas chromatography-mass spectrometry |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2022.959416/full |
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