Zheng Zhang
Jian Zhou3†
Dong Xia
Zuomin Wang- 1Tianjin Stomatological Hospital, School of Medicine, Nankai University, Tianjin, China
- 2Tianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction, Tianjin, China
- 3The School and Hospital of Stomatology, Capital Medical University, Beijing, China
- 4Royal Veterinary College, University of London, London, United Kingdom
- 5Department of Stomatology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
Editorial on the Research Topic
Association between oral microbiota dysbiosis and the development of systemic conditions
Human oral cavity harbors a complex ecosystem of numerous microorganisms, including bacteria, fungi, viruses, and bacteriophages, referred to as the oral microbiota(Peng et al., 2022). In a healthy state, the oral microbiota is composed of commensals. The mutual commensal oral microbiota plays a crucial role in promoting not only oral, but also systemic health (Han et al., 2022). However, in a diseased state, host-microbial networks lead to dysbiosis. The influence of oral microbiota dysbiosis can extend beyond the oral cavity, and some systemic conditions are also associated with the oral microbiota (Peng et al., 2022). A mechanistic understanding for such associations may arise from the ability of many oral microorganisms to alter the inflammatory microenvironment and to interfere with host signaling pathways that control cell viability, proliferation and differentiation.
Furthermore, there is likely to be an alteration in oral microbial composition or bacterial pathogenicity in systemic pathologic conditions (Graves et al., 2019). Therefore, there may be a bidirectional relationship between the oral microbiota and systemic diseases. The abundance of oral microbiota specifically associated with systemic diseases appears to be a clinical biomarker to some extent, although further exploration is still necessary. If this clinical phenomenon is confirmed, early prediction of systemic diseases using microbial detection might be a crucial breakthrough. In the present research topic, we aim to assemble original research articles and reviews discussing recent advancements in understanding the association between oral microbiota dysbiosis and the development of systemic conditions.
Alteration in oral microbial composition in systemic pathologic conditions
Oral microbiomes are closely related to the health status of the body. Oral squamous cell carcinoma (OSCC), one of the most common malignant tumors of the head and neck, is closely associated with the dysbiosis of the oral microbiome. Nie et al. analyzed microbial samples collected from six oral niches, including OSCC tumor tissue, adjacent normal tissue, cancer surface tissue, anatomically matched contralateral normal mucosa, saliva, and tongue coat. They found significant differences in microbial composition and function among the six different oral niches, and most of the genera significantly enriched in tumor tissue samples were those that have been associated with periodontal diseases. Nasopharyngeal carcinoma (NPC) is another common head and neck cancer. Hao et al. established a non-invasive and low-cost NPC risk screening model based on the oral and nasopharyngeal microbiome. The oral microbiome accuracy rate for NPC risk screening was reported to reach 77.2%.
Significant increases in circulating levels of estrogen and progesterone are thought to have a significant effect on the periodontium throughout pregnancy (Wu et al., 2015). The study by Zhang et al. compared the microbial community characteristics of supragingival plaque in 30 pregnant and 10 non-pregnant women, and indicated a trend toward increased oral microbial diversity during pregnancy. The imbalance of local and systemic immunity and metabolism in HIV-infected/AIDS patients can cause an imbalance in oral ecology (Tappuni and Sufiawati, 2020). Cao et al. demonstrated that highly active antiretroviral therapy (HAART), the most effective therapy for HIV infection, has a key role in the balance of salivary microecology in AIDS patients. However, there are still some systemic diseases that do not result in significant changes in oral microbiomes. Lu et al. explored the impact of diabetes on periodontitis-related microorganisms in the saliva, and showed that diabetes did not affect the diversity of salivary microbiota in the context of periodontitis.
Effects of oral microorganisms on systemic diseases
The detrimental effects of oral microorganisms are not confined to the oral cavity, they can also contribute to systemic disorders, such as type 2 diabetes mellitus, cardiovascular disease, and inflammatory bowel disease (IBD) (Hajishengallis and Chavakis, 2021). The study by Kang et al. evaluated the influence of periodontal organism on glucose metabolism disorder in mice. After 22 weeks of periodontal pathogen infection, significant differences were observed at 30 and 60 min for the glucose tolerance test (GTT) and at 15 min for the insulin tolerance test (ITT). In the review by Li et al. the authors provided a comprehensive overview on the influence of periodontitis and the effect of periodontal therapy on vascular endothelial function, and the molecular mechanisms involved. In the article by Chen et al. the influence of periodontal pathogen infection on gut mycobiome was explored. The authors demonstrated the first evidence of gut fungal dysbiosis with periodontal pathogen administration. Wang et al. further reported that periodontitis salivary microbiota gavage could exacerbate intestinal inflammation, and aggravate long bone loss through the oral-gut axis in ovariectomized (OVX) rats.
Pathogenic mechanism of oral microorganisms
The presence of integrin β6 (ITGB6), an epithelial-specific receptor, is essential for periodontal health, as its low expression in the gingival epithelium is related to the development of periodontal diseases (Ghannad et al., 2008). An interesting research paper contributed by Xu et al. showed that the interaction of the transcription factors forkhead box protein O1 (FOXO1) and signal transducer and activator of transcription 3 (STAT3) mediated oral bacterial biofilm components induced ITGB6 downregulation in human epithelial cells, and speculated that targeting the FOXO1–STAT3 signaling axis might be an effective method for treating periodontal diseases. Previous research has confirmed that potassium ion is associated with enhanced virulence of the plaque community in vitro(Yost et al., 2017). The study by Zou et al. deciphered the role of TrkA, the regulatory subunit of the potassium uptake system Trk in periodontal pathogen-Porphyromonas gingivalis (P.gingivalis). The authors found that TrkA is required for the virulence of P.gingivalis in vivo.
It has been concluded that P.gingivalis or its virulence factors can induce memory impairment and Alzheimer’s disease (AD)-related pathologies (Jiang et al., 2021; Tang et al., 2021). Outer membrane vesicles (OMVs), secreted by Gram-negative bacteria, could carry bacterial LPS, protease, membrane receptor, DNA, RNA, and so forth, and act as long-distance weapons and cause systemic disease (Toyofuku et al., 2019). In the study by Gong et al. the authors demonstrated the relationship between P.gingivalis OMVs and AD-like phenotypes for the first time. This study indicated that oral gavage of P.gingivalis OMVs could induce AD-like phenotypes, including memory dysfunction, neuroinflammation, and tau phosphorylation, and NLRP3 inflammasome activation was a possible mechanism.
Conclusion
In summary, the articles presented in this research topic provide readers with updated data on the association of oral microbiota dysbiosis with systemic conditions. We hope that the knowledge from these published articles will be useful for initiating new studies in this exciting area where the detailed or acquired molecular mechanisms remain unexplored.
Author contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
Acknowledgments
The editorial team thanks all of the contributors to this Research Topic.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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References
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Graves, D. T., Correa, J. D., Silva, T. A. (2019). The oral microbiota is modified by systemic diseases. J. Dent. Res. 98, 148–156. doi: 10.1177/0022034518805739
Hajishengallis, G., Chavakis, T. (2021). Local and systemic mechanisms linking periodontal disease and inflammatory comorbidities. Nat. Rev. Immunol. 21, 426–440. doi: 10.1038/s41577-020-00488-6
Han, Y., Wang, B., Gao, H., He, C., Hua, R., Liang, C., et al. (2022). Insight into the relationship between oral microbiota and the inflammatory bowel disease. Microorganisms 10 (9), 1868. doi: 10.3390/microorganisms10091868
Jiang, M., Zhang, X., Yan, X., Mizutani, S., Kashiwazaki, H., Ni, J., et al. (2021). GSK3beta is involved in promoting alzheimer’s disease pathologies following chronic systemic exposure to porphyromonas gingivalis lipopolysaccharide in amyloid precursor protein(NL-F/NL-F) knock-in mice. Brain Behav. Immun. 98, 1–12. doi: 10.1016/j.bbi.2021.08.213
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Tang, Z., Liang, D., Cheng, M., Su, X., Liu, R., Zhang, Y., et al. (2021). Effects of porphyromonas gingivalis and its underlying mechanisms on Alzheimer-like tau hyperphosphorylation in sprague-dawley rats. J. Mol. Neurosci. 71, 89–100. doi: 10.1007/s12031-020-01629-1
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Keywords: oral microbiota, dysbiosis, systemic diseases, inflammatory, mechanisms
Citation: Zhang Z, Zhou J, Xia D and Wang Z (2023) Editorial: Association between oral microbiota dysbiosis and the development of systemic conditions. Front. Cell. Infect. Microbiol. 13:1204103. doi: 10.3389/fcimb.2023.1204103
Received: 11 April 2023; Accepted: 13 April 2023;
Published: 18 April 2023.
Edited and Reviewed by:
Xin Xu, Sichuan University, ChinaCopyright © 2023 Zhang, Zhou, Xia and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Zuomin Wang, d3p1b21pbkBzaW5hLmNu; Dong Xia, ZHhpYUBydmMuYWMudWs=; Zheng Zhang, emhhbmd6aGVuZ0BuYW5rYWkuZWR1LmNu
†These authors have contributed equally to this work