Journal article
Proteomics, Lipidomics, Metabolomics, and 16S DNA Sequencing of Dental Plaque From Patients With Diabetes and Periodontal Disease
Molecular & cellular proteomics, Vol.20, pp.100126-100126
2021
DOI: 10.1016/j.mcpro.2021.100126
PMCID: PMC8426274
PMID: 34332123
Abstract
Oral microbiome influences human health, specifically prediabetes and type 2 diabetes (Pre-DM/DM) and periodontal diseases (PDs), through complex microbial interactions. To explore these relations, we performed 16S rDNA sequencing, metabolomics, lipidomics, and proteomics analyses on supragingival dental plaque collected from individuals with Pre-DM/DM (n = 39), Pre-DM/DM and PD (n = 37), PD alone (n = 11), or neither (n = 10). We identified on average 2790 operational taxonomic units and 2025 microbial and host proteins per sample and quantified 110 metabolites and 415 lipids. Plaque samples from Pre-DM/DM patients contained higher abundance of Fusobacterium and Tannerella than plaques from metabolically healthy patients. Phosphatidylcholines, plasmenyl phosphatidylcholines, ceramides containing non-OH fatty acids, and host proteins related to actin filament rearrangement were elevated in plaques from PD versus non-PD samples. Cross-omic correlation analysis enabled the detection of a strong association between Lautropia and monomethyl phosphatidylethanolamine (PE-NMe), which is striking because synthesis of PE-NMe is uncommon in oral bacteria. Lipidomics analysis of in vitro cultures of Lautropia mirabilis confirmed the synthesis of PE-NMe by the bacteria. This comprehensive analysis revealed a novel microbial metabolic pathway and significant associations of host-derived proteins with PD.
[Display omitted]
•Patients with periodontal disease or diabetes have unique microbial dysbiosis.•Proteomics and 16S data provide complementary information about microbial diversity.•Cross-omic correlation reveals host signatures associated with periodontal disease.•Multi-omic data lead to finding about microbially synthesized lipids.
The human oral cavity houses a complex ecosystem of microbes, some of which have pathogenic influence on the host. Multi-omics analysis of oral plaques revealed key players in microbial communities derived from diabetic and periodontal disease patients. With cross-omic correlation analysis, we found host-specific proteins and associated lipids that were elevated in plaques from periodontal disease patients. Furthermore, this multi-omic approach leads to the finding that oral community member Lautropia mirabilis synthesizes monomethyl phosphatidylethanolamine, an uncommon lipid in oral microbiota.
Details
- Title: Subtitle
- Proteomics, Lipidomics, Metabolomics, and 16S DNA Sequencing of Dental Plaque From Patients With Diabetes and Periodontal Disease
- Creators
- Katherine A Overmyer - Morgridge Institute for ResearchTimothy W Rhoads - University of Wisconsin–MadisonAnna E Merrill - University of Wisconsin–MadisonZhan Ye - Marshfield ClinicMichael S Westphall - University of Wisconsin–MadisonAmit Acharya - Marshfield ClinicSanjay K Shukla - Marshfield ClinicJoshua J Coon - Morgridge Institute for Research, Madison, Wisconsin, USA
- Resource Type
- Journal article
- Publication Details
- Molecular & cellular proteomics, Vol.20, pp.100126-100126
- DOI
- 10.1016/j.mcpro.2021.100126
- PMID
- 34332123
- PMCID
- PMC8426274
- NLM abbreviation
- Mol Cell Proteomics
- ISSN
- 1535-9476
- eISSN
- 1535-9484
- Publisher
- Elsevier Inc
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: P41 GM108538; DOI: 10.13039/100000092, name: National Library of Medicine, award: 5T15LM007359
- Language
- English
- Date published
- 2021
- Academic Unit
- Pathology; Injury Prevention Research Center
- Record Identifier
- 9984186505002771
Metrics
54 Record Views