Transcriptome analysis of Porphyromonas gingivalis and Acinetobacter baumannii in polymicrobial communities
Open accessAbstract
Acinetobacter baumannii is a nosocomial, opportunistic pathogen that causes several serious conditions including meningitis, septicemia, endocarditis, and pneumonia. It can be found in the oral biofilm, which may be a reservoir for pneumonia and chronic obstructive pulmonary disease. Subgingival colonization by A. baumannii is associated with chronic and aggressive periodontitis as well as refractory periodontal disease. Porphyromonas gingivalis, a keystone periodontal pathogen localized to subgingival plaque, is also implicated in several chronic conditions including aspiration pneumonia. Although both bacteria are found together in subgingival plaque and can cause multiple polymicrobial infections, nothing is known about the interactions between these two important human pathogens. In this study, we used RNA sequencing to understand the transcriptional response of both species as they adapt to heterotypic communities. Among the differentially regulated genes were those encoding a number of important virulence factors for both species including adhesion, biofilm formation, and protein secretion. Additionally, the presence of A. baumannii increased the abundance of P. gingivalis in model dual-species communities. Collectively these results suggest that both P. gingivalis and A. baumannii adapt to each other and have synergistic potential for increased pathogenicity. In identifying the mechanisms that promote pathogenicity and refractory disease, novel approaches to mitigate polymicrobial synergistic interactions may be developed to treat or prevent associated diseases.
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Dental plaques contain pathogens which could aggravate the state of pneumonia, including P. gingivalis, which can synergistically enhance pathogenicity.
“Dental plaques contain pathogens which could aggravate the state of pneumonia (Olsen, 2015), including P. gingivalis, which can synergistically enhance pathogenicity (Miller et al., 2018).”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Miller et al., 2018
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Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection
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- Authors
- Miller, D. P., Wang, Q., Weinberg, A., & Lamont, R. J.
- Affiliations
- University of Louisville (US)
- Case Western Reserve University (US)
- Corresponding author
- Lamont, R.J.
- Venue
- Molecular Oral Microbiology
- Publisher
- Wiley
- Published
- 2018-08-03
- Volume
- 33
- Issue
- 5
- Pages
- 364-377
- ISSN
- 2041-1006 (ISSN-L)
- 2041-1014
- PMC
- PMC6158049
- OpenAlex
- W2810704133
- Cited by
- 28
- References
- 86
- Citations by year
- 2026: 2 · 2024: 5 · 2023: 4 · 2022: 5 · 2021: 5 · 2020: 5 · 2019: 1 · 2018: 1
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Molecular Oral Microbiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (DE012505, DE018276, DE023193, DE026939)
- 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 › Immunology and Microbiology › Microbiology › Microbial infections and disease research
- Keywords
- Porphyromonas gingivalis, Acinetobacter baumannii, polymicrobial communities, dual-species biofilms, subgingival plaque, periodontal pathogens, bacterial interactions, virulence factors, gene expression, biofilm formation, protein secretion, adhesion, aspiration pneumonia, periodontal disease
- MeSH terms
- Dental Plaque, Humans, Porphyromonas gingivalis, Sequence Analysis, RNA, Biofilms, Adhesins, Bacterial, Gene Expression Profiling, Virulence Factors, Acinetobacter baumannii, Microbial Interactions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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