Multi-omics Analysis of Periodontal Pocket Microbial Communities Pre- and Posttreatment
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Periodontal disease affects the majority of adults worldwide and has been linked to numerous systemic diseases. Despite decades of research, the reasons for the substantial differences among periodontitis patients in disease incidence, progressivity, and response to treatment remain poorly understood. While deep sequencing of oral bacterial communities has greatly expanded our comprehension of the microbial diversity of periodontal disease and identified associations with healthy and disease states, predicting treatment outcomes remains elusive. Our results suggest that combining multiple omics approaches enhances the ability to differentiate among disease states and determine differential effects of treatment, particularly with the addition of metabolomic information. Furthermore, multi-omics analysis of biofilm community instability indicated that these approaches provide new tools for investigating the ecological dynamics underlying the progressive periodontal disease process.
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Culture-independent methods have improved our understanding of microbial diversity in the oral cavity.
“Culture‐independent methods have improved our understanding of microbial diversity in the oral cavity.”
From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [67]
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Microbiota in Periodontitis: Advances in the Omic Era
Fong, S. B., Boyer, É., Bonnaure‐Mallet, M., & Meuric, V. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-96881-6_2 · Cited by 6 · see citing works
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- Authors
- Califf, K. J., Schwarzberg-Lipson, K., Garg, N., Gibbons, S. M., Caporaso, J. G., Slots, J., Cohen, C., Dorrestein, P. C., & Kelley, S. T.
- Affiliations
- Northern Arizona University (US)
- Center for Microbial Genetics and Genomics and Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA
- University of California San Diego (US)
- Massachusetts Institute of Technology (US)
- University of Southern California (US)
- San Diego State University (US)
- Corresponding author
- Kelley, Scott T.
- ORCID
- Venue
- mSystems
- Publisher
- American Society for Microbiology
- Published
- 2017-06-27
- Volume
- 2
- Issue
- 3
- ISSN
- 2379-5077 (ISSN-L)
- PMC
- PMC5513737
- OpenAlex
- W2701723414
- Cited by
- 66
- References
- 50
- Citations by year
- 2026: 8 · 2025: 6 · 2024: 5 · 2023: 7 · 2022: 6 · 2021: 9 · 2020: 13 · 2019: 8 · 2018: 3 · 2017: 1
- FWCI
- 9.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mSystems (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Clorox Corporation
- HHS | National Institutes of Health (U01-HG004866-02)
- University of Arizona (Technology and Research Initiation Fund)
- Topics
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bacterial biofilms and quorum sensing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Keywords
- periodontitis, multi-omics, metabolomics, dental plaque, microbial community stability, periodontal treatment response, treatment outcome prediction, disease progression, oral bacterial communities
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