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1

Côté, Nathalie, and Jean-Charles Pasquier. "La prématurité spontanée et le microbiote maternel." médecine/sciences 34, no. 10 (October 2018): 799–805. http://dx.doi.org/10.1051/medsci/2018205.

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Des millions d’enfants naissent prématurément chaque année et les cliniciens restent démunis face à la difficulté de maîtriser la physiopathologie associée, ce qui limite les options thérapeutiques. Récemment, il a été suggéré que le microbiote maternel pouvait contribuer au bon déroulement de la grossesse et qu’une dysbiose pourrait entraîner une naissance avant terme. Certaines espèces commensales de Lactobacillus participeraient à une fonction de « filtre vaginal », empêchant une propagation ascendante de pathogènes vers la cavité utérine. Ce compartiment peut par ailleurs être colonisé par des bactéries buccales, suggérant la possibilité de leur dissémination par voie hématogène vers l’utérus.
2

van der Meulen, Taco A., Hermie J. M. Harmsen, Hendrika Bootsma, Silvia C. Liefers, Arnau Vich Vila, Alexandra Zhernakova, Jingyuan Fu, et al. "Dysbiosis of the buccal mucosa microbiome in primary Sjögren’s syndrome patients." Rheumatology 57, no. 12 (July 27, 2018): 2225–34. http://dx.doi.org/10.1093/rheumatology/key215.

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3

He, Y., D. Gong, C. Shi, F. Shao, J. Shi, and J. Fei. "Dysbiosis of oral buccal mucosa microbiota in patients with oral lichen planus." Oral Diseases 23, no. 5 (March 31, 2017): 674–82. http://dx.doi.org/10.1111/odi.12657.

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4

Rodríguez María Lourdes, Rosa Alcira Cristina, Nastri María Lorena, and Jewtuchowicz Virginia Martha. "Oral dysbiosis exacerbates the virulence of Candida parapsilosis sensu stricto via up-regulation of the CPH2 biofilm master gene." World Journal of Advanced Research and Reviews 10, no. 1 (April 30, 2021): 01–011. http://dx.doi.org/10.30574/wjarr.2021.10.1.0107.

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Candida parapsilosis sensu stricto is the second to third most frequent cause of candidemia. Studies place this yeast as a frequent colonizer of niches of the oral cavity, predominantly in pathological conditions. We hypothesize that a buccal environment in dysbiosis enhances the virulence of C. parapsilosis sensu stricto. Objective: To evaluate at the phenotype and molecular level the production of biofilm in oral isolates of C. parapsilosis sensu stricto and correlate the results with the clinical origin (dysbiosis versus eubiosis). Material and methods: The biofilm-forming ability was compared in 50 oral isolates of C. parapsilosis sensu stricto obtained from patients with and without oral dysbiosis; by quantification of biofilm biomass and metabolic activity. The results were corroborated by optical and confocal fluorescence microscopy, and correlated with the transcriptional activity of CPH2, by RT-qPCR. The data were analyzed by Excel 2010, and InfoStat 2018, with a 95% confidence interval. Results: The metabolic activity in biofilm was significantly higher in oral dysbiosis relative to control (p = 0.0025). Basal expression of CPH2 increased 2.8 times more in oral dysbiosis related to the control condition and showed no significant differences with pathogenic isolates of this same yeast, derived from onychomycosis lesions. Conclusion: The oral cavity in dysbiosis increases the virulence of C. parapsilosis sensu stricto due to possible changes in epigenetic marks. This finding suggests that the oral cavity in dysbiosis may be an alternative route to the skin in the epidemiology of nosocomial candidemia.
5

Na, Hee Sam, Si Yeong Kim, Hyejung Han, Hyun-Joo Kim, Ju-Youn Lee, Jae-Hyung Lee, and Jin Chung. "Identification of Potential Oral Microbial Biomarkers for the Diagnosis of Periodontitis." Journal of Clinical Medicine 9, no. 5 (May 20, 2020): 1549. http://dx.doi.org/10.3390/jcm9051549.

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Periodontitis is a chronic and multifactorial inflammatory disease that can lead to tooth loss. At present, the diagnosis for periodontitis is primarily based on clinical examination and radiographic parameters. Detecting the periodontal pathogens at the subgingival plaque requires skilled professionals to collect samples. Periodontal pathogens are also detected on various mucous membranes in patients with periodontitis. In this study, we characterized the oral microbiome profiles from buccal mucosa and supragingival space in a total of 272 healthy subjects as a control group, and periodontitis patients as a disease group. We identified 13 phyla, 193 genera, and 527 species and determined periodontitis-associated taxa. Porphyromonas gingivalis, Tannerella forsythia, Treponema denticolar, Filifactor alocis, Porphyromonas endodontalis, Fretibacterium fastiosum and Peptostreptococcus species were significantly increased in both the buccal mucosa and the supragingival space in periodontitis patients. The identified eight periodontitis-associated bacterial species were clinically validated in an independent cohort. We generated the prediction model based on the oral microbiome profiles using five machine learning algorithms, and validated its capability in predicting the status of patients with periodontitis. The results showed that the oral microbiome profiles from buccal mucosa and supragingival space can represent the microbial composition of subgingival plaque and further be utilized to identify potential microbial biomarkers for the diagnosis of periodontitis. Besides, bacterial community interaction network analysis found distinct patterns associated with dysbiosis in periodontitis. In summary, we have identified oral bacterial species from buccal and supragingival sites which can predict subgingival bacterial composition and can be used for early diagnosis of periodontitis. Therefore, our study provides an important basis for developing easy and noninvasive methods to diagnose and monitor periodontitis.
6

Lavoro, Alessandro, Giovanni Cultrera, Giuseppe Gattuso, Cinzia Lombardo, Luca Falzone, Candido Saverio, Massimo Libra, and Mario Salmeri. "Role of Oral Microbiota Dysbiosis in the Development and Progression of Oral Lichen Planus." Journal of Personalized Medicine 14, no. 4 (April 3, 2024): 386. http://dx.doi.org/10.3390/jpm14040386.

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Oral lichen planus (OLP) is a chronic inflammatory autoimmune disease of the oral cavity with malignant potential affecting 1.01% of the worldwide population. The clinical patterns of this oral disorder, characterized by relapses and remissions of the lesions, appear on buccal, lingual, gingival, and labial mucosa causing a significant reduction in the quality of life. Currently, there are no specific treatments for this disease, and the available therapies with topical and systemic corticosteroids only reduce symptoms. Although the etiopathogenesis of this pathological condition has not been completely understood yet, several exogenous and endogenous risk factors have been proposed over the years. The present review article summarized the underlying mechanisms of action involved in the onset of OLP and the most well-known triggering factors. According to the current data, oral microbiota dysbiosis could represent a potential diagnostic biomarker for OLP. However, further studies should be undertaken to validate their use in clinical practice, as well as to provide a better understanding of mechanisms of action and develop novel effective intervention strategies against OLP.
7

Jung, Won, and Sungil Jang. "Oral Microbiome Research on Oral Lichen Planus: Current Findings and Perspectives." Biology 11, no. 5 (May 9, 2022): 723. http://dx.doi.org/10.3390/biology11050723.

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Oral lichen planus (OLP) is a chronic inflammatory disease of the oral mucosa with an unknown etiology. The role of oral microbes in the development of OLP has gained researchers’ interest. In this review, we summarized the findings of studies focused on the relationship between OLP and oral microbiome, which includes the composition of oral microbiota, molecules produced by oral microbiota or the host, and the oral environment of the host. According to the studies, the oral microbial community in OLP patients undergoes dysbiosis, and the microbial dysbiosis in OLP patients is more prominent in the buccal mucosa than in the saliva. However, no same microorganisms have been suggested to be associated with OLP in multiple investigations, implying that the functional aspects of the oral microbiota are more important in OLP development than the composition of the oral microbiota. According to studies on host factors that make up the oral environment, signal pathways involved in cellular processes, such as keratinization, inflammation, and T cell responses are triggered in OLP. Studies on the functional aspects of the oral microbiota, as well as interactions between the host and the oral microbiota, are still lacking, and more research is required.
8

GIURGIU, Gheorghe, and Manole COJOCARU. "Natural Neuroimunomodulation in Coronavirus Infection." Annals of the Academy of Romanian Scientists Series on Biological Sciences 9, no. 2 (2020): 80–87. http://dx.doi.org/10.56082/annalsarscibio.2020.2.80.

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Dysbiosis of the nasopharyngeal microbiome attracts dysbiosis of the intestinal microbiome and activation of the intestinal microbiome-brain axis. If the first sign of the disease is quickly intervened with the modulation of the activity of the microbiome, implicitly of the immune system (neuroimmunomodulation), the appearance of the disease is eliminated. There is the microbiome: buccal, nasal, intestinal, cardiac, cutaneous and even the microbiome in the brain with which Covid-19 interacts. When the evolution is complicated, it is necessary to intervene with drug treatment to support the affected organs. Although there is also renal impairment, no coronaviruses or traces were found in the patients' urine. Knowing that the infection also causes digestive symptoms, coronaviruses have been shown in faeces. It is said that in 1-2% of cases Covid-19 reaches the bloodstream. The microbiome is essential for promoting immune function to prevent and combat disease. Specifically, with regard to viral infections, there must be an adequate immune response to protect the body. The intestinal microbiota with low diversity will consequently lead to a deficient immune function. The microbiota, the intestine and the brain communicate through the microbiota-intestine-brain axis in a bidirectional way. We assume that the Covid-19 virus creates a dysbiosis of the intestinal microbiome. A healthy gut microbiome is crucial in creating an adequate response to coronavirus. A diverse microbiome is a healthy microbiome, which contains many different species that each play a role in immunity and health. The motivation of the project is the study of the influence of the intestinal microbiota in terms of health and the appearance of symptoms in Covid-19 infection. With the help of Deniplant brand natural remedies, the authors have developed several products for autoimmune, metabolic and neurological diseases that act as immunomodulators of the human microbiome.
9

Pikuza, O. I., R. A. Faizullina, A. M. Zakirova, E. A. Samorodnova, E. V. Volianiuk, Е. L. Rashitova, and E. V. Yazdani. "Colonization resistance of buccal epitheliocytes as an indicator of mucosal immune homeostatic resources in children with recurrent respiratory diseases." Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics) 68, no. 5 (November 15, 2023): 45–52. http://dx.doi.org/10.21508/1027-4065-2023-68-5-45-52.

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Of particular interest is the study of colonization resistance of the oral cavity as a physiological phenomenon that reflects the ability of the microbiota and macroorganism in cooperation to protect the ecosystem of the oral cavity from pathogens. Purpose is to evaluate the significance of indicators of colonization resistance of buccal epithelial cells as a marker of homeostatic resources of mucosal immunity in recurrent respiratory diseases in children. Material and methods. 232 (5–16 years old) children were examined, including 56 children with acute bronchitis, 73 with recurrent bronchitis, 103 with community-acquired pneumonia. The control group included 31 apparently healthy children of the same age and sex. Used: conventional paraclinical and laboratory-instrumental methods, etiological verification of viruses and bacteria, colonization index and artificial colonization of buccal epitheliocytes, antiadhesive activity of saliva. Results. 64.38% of children with recurrent bronchitis and 72.82% of children with community-acquired pneumonia were born from an aggravated pregnancy and already at 3 months had signs of acute respiratory diseases. Viral antigens were detected in 63.36% of children. An inverse relationship was found between the indicators of artificial colonization and adhesion of Candida albicans on buccal epithelial cells — the lower the values of artificial colonization, the more often pneumonia and recurrent bronchitis were recorded. A significant decrease in saliva antiadhesion was found in recurrent bronchitis and community-acquired pneumonia, significantly different not only from the control, but also from patients with acute bronchitis. This contingent of patients finds itself in extremely unfavorable conditions due to the disruption of the adaptive reserves of the mucosal defense of the body. Conclusion. A decrease in the index of colonization, antiadhesive activity of saliva against the background of increasing parameters of artificial colonization in children with recurrent bronchitis and community-acquired pneumonia indicate deep dysbiosis. The high significance of screening approaches in assessing the homeostatic resources of mucosal protection of the oral cavity in children with bronchopulmonary pathology has been proven.
10

Pandey, Dheeraj, Michal Szczesniak, Julia Maclean, Howard Chi Ho Yim, Fan Zhang, Peter Graham, Emad M. El-Omar, and Peter Wu. "Dysbiosis in Head and Neck Cancer: Determining Optimal Sampling Site for Oral Microbiome Collection." Pathogens 11, no. 12 (December 16, 2022): 1550. http://dx.doi.org/10.3390/pathogens11121550.

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Recent research suggests that dysbiosis of the oral microbial community is associated with head and neck cancer (HNC). It remains unclear whether this dysbiosis causes chemo-radiotherapy (CRT)-related complications. However, to address this question, it is essential to determine the most representative oral site for microbiome sampling. In this study, our purpose was to determine the optimal site for oral sample collection and whether the presence of HNC is associated with altered oral microbiome from this site. In 21 newly diagnosed HNC patients and 27 healthy controls, microbiome samples were collected from saliva, swabs from buccal mucosa, tongue, hard palate, faucial pillars and all mucosal sites combined. Microbial DNA was extracted and underwent 16S rRNA amplicon gene sequencing. In healthy controls, analysis of observed taxonomic units detected differences in alpha- and beta-diversity between sampling sites. Saliva was found to have the highest intra-community microbial diversity and lowest within-subject (temporal) and between-subject variance. Feature intersection showed that most species were shared between all sites, with saliva demonstrating the most unique species as well as highest overlap with other sites. In HNC patients, saliva was found to have the highest diversity but differences between sites were not statistically significant. Across all sites, HNC patients had lower alpha diversity than healthy controls. Beta-diversity analysis showed HNC patients’ microbiome to be compositionally distinct from healthy controls. This pattern was confirmed when the salivary microbiome was considered alone. HNC patients exhibited reduced diversity of the oral microbiome. Salivary samples demonstrate temporal stability, have the richest diversity and are sufficient to detect perturbation due to presence of HNC. Hence, they can be used as representative oral samples for microbiome studies in HNC patients.
11

Sotozono, Maki, Nanako Kuriki, Yoko Asahi, Yuichiro Noiri, Mikako Hayashi, Daisuke Motooka, Shota Nakamura, Mikiyo Yamaguchi, Tetsuya Iida, and Shigeyuki Ebisu. "Impact of sleep on the microbiome of oral biofilms." PLOS ONE 16, no. 12 (December 9, 2021): e0259850. http://dx.doi.org/10.1371/journal.pone.0259850.

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Dysbiosis of the oral microbiome is associated with diseases such as periodontitis and dental caries. Because the bacterial counts in saliva increase markedly during sleep, it is broadly accepted that the mouth should be cleaned before sleep to help prevent these diseases. However, this practice does not consider oral biofilms, including the dental biofilm. This study aimed to investigate sleep-related changes in the microbiome of oral biofilms by using 16S rRNA gene sequence analysis. Two experimental schedules—post-sleep and pre-sleep biofilm collection—were applied to 10 healthy subjects. Subjects had their teeth and oral mucosa professionally cleaned 7 days and 24 h before sample collection. Samples were collected from several locations in the oral cavity: the buccal mucosa, hard palate, tongue dorsum, gingival mucosa, tooth surface, and saliva. Prevotella and Corynebacterium had higher relative abundance on awakening than before sleep in all locations of the oral cavity, whereas fluctuations in Rothia levels differed depending on location. The microbiome in different locations in the oral cavity is affected by sleep, and changes in the microbiome composition depend on characteristics of the surfaces on which oral biofilms form.
12

Sánchez-Medrano, Ana G., Rita E. Martinez-Martinez, Ruth Soria-Guerra, Diana Portales-Perez, Horacio Bach, and Fidel Martinez-Gutierrez. "A systematic review of the protein composition of whole saliva in subjects with healthy periodontium compared with chronic periodontitis." PLOS ONE 18, no. 5 (May 24, 2023): e0286079. http://dx.doi.org/10.1371/journal.pone.0286079.

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Context Periodontitis is a chronic multifactorial inflammatory disease linked to oral microbiota dysbiosis. This disease progresses to infection that stimulates a host immune/inflammatory response, with progressive destruction of the tooth-supporting structures. Objective This systematic review aims to present a robust critical evaluation of the evidence of salivary protein profiles for identifying oral diseases using proteomic approaches and summarize the use of these approaches to diagnose chronic periodontitis. Data sources A systematic literature search was conducted from January 1st, 2010, to December 1st, 2022, based on PICO criteria following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and by searching the three databases Science Direct, Scopus, and Springer Link. Study selection According to the inclusion criteria, eight studies were identified to analyze the proteins identified by proteomics. Results The protein family S100 was identified as the most abundant in patients with chronic periodontitis. In this family, an increased abundance of S100A8 and S100A9 from individuals with the active disease was observed, which strongly relates to the inflammatory response. Moreover, the ratio S100A8/S100A9 and the metalloproteinase-8 in saliva could differentiate distinct periodontitis groups. The changes in protein profile after non-surgical periodontal therapy improved the health of the buccal area. The results of this systematic review identified a set of proteins that could be used as a complementary tool for periodontitis diagnosis using salivary proteins. Conclusion Biomarkers in saliva can be used to monitor an early stage of periodontitis and the progression of the disease following therapy.
13

Beikler, T., K. Bunte, Y. Chan, B. Weiher, S. Selbach, U. Peters, A. Klocke, R. M. Watt, and T. F. Flemmig. "Oral Microbiota Transplant in Dogs with Naturally Occurring Periodontitis." Journal of Dental Research 100, no. 7 (March 18, 2021): 764–70. http://dx.doi.org/10.1177/0022034521995423.

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In periodontitis patients, dysbiosis of the oral microbiota is not only found at clinically diseased periodontal sites but also at clinically healthy periodontal sites, buccal mucosae, tongue, and saliva. The present study evaluated the safety and efficacy of an oral microbiota transplant (OMT) for the treatment of periodontitis in dogs. Eighteen systemically healthy beagle dogs with naturally occurring periodontitis were enrolled in the study and randomly assigned to a test or control group. A 4-y-old, periodontally healthy female beagle dog served as a universal OMT donor. To reduce periodontal inflammation, all dogs received full-mouth mechanical debridement of teeth and mucosae 2 wk before baseline. At baseline, full-mouth mechanical debridement was repeated and followed by adjunctive subgingival and oral irrigation with 0.1% NaOCl. Subsequently, test dogs were inoculated with an OMT from the healthy donor. No daily oral hygiene was performed after OMT transplantation. Adverse events were assessed throughout the observation period. Clinical examinations were performed and whole-mouth oral microbiota samples were collected at week 2, baseline, week 2, and week 12. The composition of oral microbiota samples was analyzed using high-throughput 16S ribosomal RNA gene amplicon sequencing followed by taxonomic assignment and downstream bioinformatic and statistical analyses. Results demonstrated that the intergroup difference in the primary outcome measure, probing pocket depth at week 12, was statistically insignificant. However, the single adjunctive OMT had an additional effect on the oral microbiota composition compared to the full-mouth mechanical and antimicrobial debridement alone. The OMT resulted in an “ecological shift” toward the composition of the donor microbiota, but this was transient in nature and was not observed at week 12. No local or systemic adverse events were observed throughout the study period. The results indicate that OMT may modulate the microbiota composition in dogs with naturally occurring periodontitis and can be applied safely.
14

Shin, Jong Hoon, Ji-Woong Lee, Su-Ho Lim, Byung Woo Yoon, Young Lee, and Je Hyun Seo. "The microbiomes of the eyelid and buccal area of patients with uveitic glaucoma." BMC Ophthalmology 22, no. 1 (April 14, 2022). http://dx.doi.org/10.1186/s12886-022-02395-x.

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Abstract Background The microbiome could trigger inflammation leading to epigenetic changes and is involved in the pathophysiology of eye diseases; however, its effect on uveitic glaucoma (UG) has not been fully investigated. This study analysed the differences in eyelid and buccal microbiomes in patients with UG using next-generation sequencing. Methods The eyelid and buccal specimens of 34 UG and 25 control patients were collected. The taxonomic composition of the microbiome was obtained via 16S ribosomal DNA sequencing. Diversity and differential gene expression analyses (DEG) determined taxon differences between the microbiomes of UG and control groups. Results In both the eyelid and buccal microbiomes, alpha-diversity was lower in UG patients than controls, while beta-diversity in patients with UG was higher than in controls. DEG analysis of the eyelid microbiome revealed various taxa differences, including enrichment of Paenibacillus and Dermacoccus (p-value, 1.31e−6 and 1.55e−7, respectively) and depletion of Morganella and Lactococcus (p-value, 6.26e−12 and 2.55e−6, respectively) in patients with UG. In the buccal microbiome, taxa such as Lactococcus was significantly depleted (p-value, 1.31e−17), whereas Faecalibacterium was enriched in patients with UG (p-value, 6.12e−8). Conclusions The eyelid and buccal microbiomes in patients with UG differ from controls, which raises concerns surrounding environmental influences on the pathogenesis of UG. The reduced Lactococcus in the eyelid and buccal area suggest that microbiota dysbiosis is associated with UG.
15

Chattopadhyay, Suhana, Leena Malayil, Jessica Chopyk, Eoghan Smyth, Prachi Kulkarni, Greg Raspanti, Stephen B. Thomas, Amir Sapkota, Emmanuel F. Mongodin, and Amy R. Sapkota. "Oral microbiome dysbiosis among cigarette smokers and smokeless tobacco users compared to non-users." Scientific Reports 14, no. 1 (May 6, 2024). http://dx.doi.org/10.1038/s41598-024-60730-2.

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AbstractTobacco use significantly influences the oral microbiome. However, less is known about how different tobacco products specifically impact the oral microbiome over time. To address this knowledge gap, we characterized the oral microbiome of cigarette users, smokeless tobacco users, and non-users over 4 months (four time points). Buccal swab and saliva samples (n = 611) were collected from 85 participants. DNA was extracted from all samples and sequencing was carried out on an Illumina MiSeq, targeting the V3–V4 region of the 16S rRNA gene. Cigarette and smokeless tobacco users had more diverse oral bacterial communities, including a higher relative abundance of Firmicutes and a lower relative abundance of Proteobacteria, when compared to non-users. Non-users had a higher relative abundance of Actinomyces, Granulicatella, Haemophilus, Neisseria, Oribacterium, Prevotella, Pseudomonas, Rothia, and Veillonella in buccal swab samples, compared to tobacco users. While the most abundant bacterial genera were relatively constant over time, some species demonstrated significant shifts in relative abundance between the first and last time points. In addition, some opportunistic pathogens were detected among tobacco users including Neisseria subflava, Bulleidia moorei and Porphyromonas endodontalis. Overall, our results provide a more holistic understanding of the structure of oral bacterial communities in tobacco users compared to non-users.
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ML, Rodríguez, Rodríguez ML, Rosa AC, Nastri ML, and Jewtuchowicz VM. "Oral Dysbiosis Exacerbates Candida parapsilosis Sensu Stricto Biofilm Production via Up-Regulation of the CPH2 Biofilm Master Gene." Dental Oral Biology and Craniofacial Research, April 22, 2021, 1–7. http://dx.doi.org/10.31487/j.dobcr.2021.01.07.

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Introduction: Candida parapsilosis sensu stricto is the second to third most frequent cause of candidemia. Studies place this yeast as a frequent colonizer of niches of the oral cavity, predominantly in pathological conditions. We hypothesize that a buccal environment in dysbiosis enhances the virulence of C. parapsilosis sensu stricto. Objective: To evaluate the phenotype and molecular level of the production of biofilm in oral isolates of Candida parapsilosis sensu stricto and correlate the results with the clinical origin (dysbiosis versus eubiosis). Materials and Methods: The biofilm-forming ability was compared in 50 oral isolates of Candida parapsilosis sensu stricto obtained from patients with and without oral dysbiosis; by quantification of metabolic activity. The results were corroborated by confocal fluorescence microscopy, and correlated with the transcriptional activity of CPH2, by RT-qPCR. The data were analysed by Excel 2010, and InfoStat 2018, with a 95% confidence interval. Results: The metabolic activity in biofilm was significantly higher in oral dysbiosis relative to control (p = 0.0025). Basal expression of CPH2 increased 2.8 times more in oral dysbiosis related to the control condition and showed no significant differences with pathogenic isolates of this same yeast, derived from onychomycosis lesions. Conclusion: The oral cavity in dysbiosis increases the virulence of C. parapsilosis sensu stricto due to possible changes in epigenetic marks. This finding suggests that the oral cavity in dysbiosis may be an alternative route to the skin in the epidemiology of nosocomial candidemia.
17

Gregorczyk-Maga, Iwona, Mateusz Fiema, Michal Kania, Jolanta Kędzierska, Estera Jachowicz, Dorota Romaniszyn, and Jadwiga Wójkowska-Mach. "Cultivable oral bacteriota dysbiosis in mechanically ventilated COVID-19 patients." Frontiers in Microbiology 13 (October 28, 2022). http://dx.doi.org/10.3389/fmicb.2022.1013559.

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Potential interactions between the SARS-CoV-2 virus and the human oral microbiota are currently investigated widely. Patients with COVID-19 requiring mechanical ventilation in an intensive care unit (ICU) setting are at high risk of developing severe complications, including ventilator-associated pneumonia, thus making oral health management important. The aim of this study was to evaluate the oral health status and assess the dysbiosis of cultivable oral bacteriota in COVID-19 patients hospitalized in an ICU with acute respiratory distress within 36 h following intubation. In this prospective cohort study, we recruited 56 adult COVID-19 patients that qualified for mechanical ventilation in the Temporary ICU for COVID-19 Patients of the University Hospital in Krakow. On admission to the ICU, oral health of patients was assessed using the modified Beck Oral Assessment Score (BOAS). Four oral habitats were sampled, namely the buccal mucosa, tongue, buccal dental surface and gingival pocket. Microorganisms were identified by MALDI/TOF mass spectrometry. The mean age of the study population was 66.5 ± 12.7 years, there were 24 (42.9%) females. All patients included in this study were intubated and ventilated in the ICU, with a corresponding high mortality rate (76.8%). On admission to ICU, 76.8% subjects scored 11–20 on the BOAS scale (median 12 [IQR 10–14]), indicating moderate or severe dysfunction of oral health. Potentially pathogenic bacteria were identified in the oral microbiota samples, including Acinetobacter baumannii, Enterococcus faecalis, Escherichia coli and Klebsiella pneumoniae in 23.2%, 39.3%, 17.9%, and 19.6% of patients, respectively. Lactobacillus spp. were present in 57.1% subjects. The mean CFU counts of all bacteria strains in dental brushes were 9.3E+5 (1.4E+6) and in gingival pockets 7.6E+5 (1.4E+6). The highest CFU counts were observed for Enterococcus spp. and, Lactobacillus spp., although these did not differ significantly from CFU counts of Streptococcus spp. and Staphylococcus spp. In this report we comprehensively characterized the oral health condition and cultivable oral bacteriota in COVID-19 patients hospitalized in an ICU with acute respiratory distress within 36 h following intubation. The oral bacteriota showed significant qualitative and quantitative dysbiosis. Hospitalization in an ICU and mechanical ventilation are important factors leading to oral dysbiosis in SARS-CoV-2 patients.
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Santacroce, Luigi, Eleonora Lo Muzio, Lucrezia Bottalico, Francesca Spirito, Ioannis Alexandros Charitos, Pier Carmine Passarelli, and Emilio Jirillo. "Subversion of the Oral Microbiota and Induction of Immune-Mediated Systemic Inflammation with Special Reference to Periodontitis. Current Knowledge and Perspectives." Endocrine, Metabolic & Immune Disorders - Drug Targets 22 (June 29, 2022). http://dx.doi.org/10.2174/1871530322666220629101357.

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Background: Under steady state circumstances, the oral microbiota is in equilibrium with host tissues, thus contributing to local and systemic health. Any interruption of such equilibrium leads to a condition of dysbiosis with proliferation of oral pathogens able to cause gingivitis and periodontal disease. Dysbiosis-related disease: The mechanisms of periodontitis will be described, mostly emphasizing the noxious effects exerted by oral pathogens on the periodontium either directly or indirectly via release of an array of mediators, even including pro-inflammatory cytokines, chemokines, and enzymes. The persistence of local inflammation ultimately leads to a systemic inflammation and, therefore, the link between periodontitis and obesity, diabetes and cardiovascular disease will be elucidated. Treatment with natural products: Some natural compounds, such as polyphenols, prebiotics and probiotics will be discussed for their ability to exert anti-inflammatory and anti-oxidant activities in the context of the inflamed buccal cavity and systemically, as well as for their modulation of the altered gum-gut microbiota.
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Su, Shih-Chi, Lun-Ching Chang, Hsien-Da Huang, Chih-Yu Peng, Chun-Yi Chuang, Yi-Tzu Chen, Ming-Yi Lu, Yu-Wei Chiu, Pei-Yin Chen, and Shun-Fa Yang. "Oral microbial dysbiosis and its performance in predicting oral cancer." Carcinogenesis, July 4, 2020. http://dx.doi.org/10.1093/carcin/bgaa062.

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Abstract Dysbiosis of oral microbiome may dictate the progression of oral squamous cell carcinoma (OSCC). Yet, the composition of oral microbiome fluctuates by saliva and distinct sites of oral cavity and is affected by risky behaviors (smoking, drinking and betel quid chewing) and individuals’ oral health condition. To characterize the disturbances in the oral microbial population mainly due to oral tumorigenicity, we profiled the bacteria within the surface of OSCC lesion and its contralateral normal tissue from discovery (n = 74) and validation (n = 42) cohorts of male patients with cancers of the buccal mucosa. Significant alterations in the bacterial diversity and relative abundance of specific oral microbiota (most profoundly, an enrichment for genus Fusobacterium and the loss of genus Streptococcus in the tumor sites) were identified. Functional prediction of oral microbiome shown that microbial genes related to the metabolism of terpenoids and polyketides were differentially enriched between the control and tumor groups, indicating a functional role of oral microbiome in formulating a tumor microenvironment via attenuated biosynthesis of secondary metabolites with anti-cancer effects. Furthermore, the vast majority of microbial signatures detected in the discovery cohort was generalized well to the independent validation cohort, and the clinical validity of these OSCC-associated microbes was observed and successfully replicated. Overall, our analyses reveal signatures (a profusion of Fusobacterium nucleatum CTI-2 and a decrease in Streptococcus pneumoniae) and functions (decreased production of tumor-suppressive metabolites) of oral microbiota related to oral cancer.
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Xu, Jun, Yu Zhang, Xiao-Hui Fang, Yun Liu, Yi-Bo Huang, Zi-Liang Ke, Yang Wang, et al. "The oral bacterial microbiota facilitates the stratification for ulcerative colitis patients with oral ulcers." Annals of Clinical Microbiology and Antimicrobials 22, no. 1 (November 9, 2023). http://dx.doi.org/10.1186/s12941-023-00646-3.

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Abstract Background Clinically, a large part of inflammatory bowel disease (IBD) patients is complicated by oral lesions. Although previous studies proved oral microbial dysbiosis in IBD patients, the bacterial community in the gastrointestinal (GI) tract of those IBD patients combined with oral ulcers has not been profiled yet. Methods In this study, we enrolled four groups of subjects, including healthy controls (CON), oral ulcer patients (OU), and ulcerative colitis patients with (UC_OU) and without (UC) oral ulcers. Bio-samples from three GI niches containing salivary, buccal, and fecal samples, were collected for 16S rRNA V3-V4 region sequencing. Bacterial abundance and related bio-functions were compared, and data showed that the fecal microbiota was more potent than salivary and buccal microbes in shaping the host immune system. ~ 22 UC and 10 UC_OU 5-aminosalicylate (5-ASA) routine treated patients were followed-up for six months; according to their treatment response (a decrease in the endoscopic Mayo score), they were further sub-grouped as responding and non-responding patients. Results We found those UC patients complicated with oral ulcers presented weaker treatment response, and three oral bacterial genera, i.e., Fusobacterium, Oribacterium, and Campylobacter, might be connected with treatment responding. Additionally, the salivary microbiome could be an indicator of treatment responding in 5-ASA routine treatment rather than buccal or fecal ones. Conclusions The fecal microbiota had a strong effect on the host’s immune indices, while the oral bacterial microbiota could help stratification for ulcerative colitis patients with oral ulcers. Additionally, the oral microbiota had the potential role in reflecting the treatment response of UC patients. Three oral bacteria genera (Fusobacterium, Oribacterium, and Campylobacter) might be involved in UC patients with oral ulcers lacking treatment responses, and monitoring oral microbiota may be meaningful in assessing the therapeutic response in UC patients.
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Somineni, Hari K., Jordan H. Weitzner, Suresh Venkateswaran, Anne Dodd, Jarod Prince, Arjuna Karikaran, Cary G. Sauer, et al. "Site- and Taxa-Specific Disease-Associated Oral Microbial Structures Distinguish Inflammatory Bowel Diseases." Inflammatory Bowel Diseases, May 14, 2021. http://dx.doi.org/10.1093/ibd/izab082.

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Abstract Background The gut and oral microbiome have independently been shown to be associated with inflammatory bowel disease (IBD). However, it is not known to what extent gut and oral microbial disease markers converge in terms of their composition in IBD. Further, the spatial and temporal variation within the oral microenvironments of IBD remain to be elucidated. Patients and Methods We used a prospectively recruited cohort of patients with IBD (n = 47) and unrelated healthy control patients (n = 18) to examine the spatial and temporal distribution of microbiota within the various oral microenvironments, represented by saliva, tongue, buccal mucosa, and plaque, and compared them with stool. Microbiome characterization was performed using 16S rRNA gene sequencing. Results The oral microbiome displayed IBD-associated dysbiosis, in a site- and taxa-specific manner. Plaque samples depicted a relatively severe degree of dysbiosis, and the disease-associated dysbiotic bacterial groups were predominantly the members of the phylum Firmicutes. Our 16S rRNA gene analyses show that oral microbiota can distinguish patients with IBD from healthy control patients, with salivary microbiota performing the best, closely matched by stool and other oral sites. Longitudinal profiles of microbial composition suggest that some taxa are more consistently perturbed than others, preferentially in a site-dependent fashion. Conclusions Collectively, these data indicate the potential of using oral microbial profiles in screening and monitoring patients with IBD. Furthermore, these results support the importance of spatial and longitudinal microbiome sampling to interpret disease-associated dysbiotic states and eventually to gain insights into disease pathogenesis.
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Na, Hee Sam, Na‐Yeon Jung, Yuri Song, Si Yeong Kim, Hyun‐Joo Kim, Ju Youn Lee, and Jin Chung. "A distinctive subgingival microbiome in patients with periodontitis and Alzheimer's disease compared with cognitively unimpaired periodontitis patients." Journal of Clinical Periodontology, October 18, 2023. http://dx.doi.org/10.1111/jcpe.13880.

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AbstractAimPeriodontitis is caused by dysbiosis of oral microbes and is associated with increased cognitive decline in Alzheimer's disease (AD), and recently, a potential functional link was proposed between oral microbes and AD. We compared the oral microbiomes of patients with or without AD to evaluate the association between oral microbes and AD in periodontitis.Materials and MethodsPeriodontitis patients with AD (n = 15) and cognitively unimpaired periodontitis patients (CU) (n = 14) were recruited for this study. Each patient underwent an oral examination and neuropsychological evaluation. Buccal, supragingival and subgingival plaque samples were collected, and microbiomes were analysed by next‐generation sequencing. Alpha diversity, beta diversity, linear discriminant analysis effect size, analysis of variance‐like differential expression analysis and network analysis were used to compare group oral microbiomes.ResultsAll 29 participants had moderate to severe periodontitis. Group buccal and supragingival samples were indistinguishable, but subgingival samples demonstrated significant alpha and beta diversity differences. Differential analysis showed subgingival samples of the AD group had higher prevalence of Atopobium rimae, Dialister pneumosintes, Olsenella sp. HMT 807, Saccharibacteria (TM7) sp. HMT 348 and several species of Prevotella than the CU group. Furthermore, subgingival microbiome network analysis revealed a distinct, closely connected network in the AD group comprised of various Prevotella spp. and several anaerobic bacteria.ConclusionsA unique microbial composition was discovered in the subgingival region in the AD group. Specifically, potential periodontal pathogens were found to be more prevalent in the subgingival plaque samples of the AD group. These bacteria may possess a potential to worsen periodontitis and other systemic diseases. We recommend that AD patients receive regular, careful dental check‐ups to ensure proper oral hygiene management.
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Tuominen, Heidi, and Jaana Rautava. "Oral Microbiota and Cancer Development." Pathobiology, November 11, 2020, 1–11. http://dx.doi.org/10.1159/000510979.

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Oral microbiota are among the most diverse in the human body. More than 700 species have been identified in the mouth, and new sequencing methods are allowing us to discover even more species. The anatomy of the oral cavity is different from that of other body sites. The oral cavity has mucosal surfaces (the tongue, the buccal mucosa, the gingiva, and the palate), hard tissues (the teeth), and exocrine gland tissue (major and minor salivary glands), all of which present unique features for microbiota composition. The connection between oral microbiota and diseases of the human body has been under intensive research in the past years. Furthermore, oral microbiota have been associated with cancer development. Patients suffering from periodontitis, a common advanced gingival disease caused by bacterial dysbiosis, have a 2–5 times higher risk of acquiring any cancer compared to healthy individuals. Some oral taxa, especially <i>Porphyromonas gingivalis</i> and <i>Fusobacterium nucleatum</i>, have been shown to have carcinogenic potential by several different mechanisms. They can inhibit apoptosis, activate cell proliferation, promote cellular invasion, induce chronic inflammation, and directly produce carcinogens. These microbiota changes can already be seen with potentially malignant lesions of the oral cavity. The causal relationship between microbiota and cancer is complex. It is difficult to accurately study the impact of specific bacteria on carcinoma development in humans. This review focuses on the elucidating the interactions between oral cavity bacterial microbiota and cancer. We gather literature on the current knowledge of the bacterial contribution to cancer development and the mechanisms behind it.
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Qiu, Che, Wei Zhou, Hui Shen, Jintao Wang, Ran Tang, Tao Wang, Xinyi Xie, et al. "Profiles of subgingival microbiomes and gingival crevicular metabolic signatures in patients with amnestic mild cognitive impairment and Alzheimer’s disease." Alzheimer's Research & Therapy 16, no. 1 (February 19, 2024). http://dx.doi.org/10.1186/s13195-024-01402-1.

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Abstract Background The relationship between periodontitis and Alzheimer’s disease (AD) has attracted more attention recently, whereas profiles of subgingival microbiomes and gingival crevicular fluid (GCF) metabolic signatures in AD patients have rarely been characterized; thus, little evidence exists to support the oral-brain axis hypothesis. Therefore, our study aimed to characterize both the microbial community of subgingival plaque and the metabolomic profiles of GCF in patients with AD and amnestic mild cognitive impairment (aMCI) for the first time. Methods This was a cross-sectional study. Clinical examinations were performed on all participants. The microbial community of subgingival plaque and the metabolomic profiles of GCF were characterized using the 16S ribosomal RNA (rRNA) gene high-throughput sequencing and liquid chromatography linked to tandem mass spectrometry (LC–MS/MS) analysis, respectively. Results Thirty-two patients with AD, 32 patients with aMCI, and 32 cognitively normal people were enrolled. The severity of periodontitis was significantly increased in AD patients compared with aMCI patients and cognitively normal people. The 16S rRNA gene sequencing results showed that the relative abundances of 16 species in subgingival plaque were significantly correlated with cognitive function, and LC–MS/MS analysis identified a total of 165 differentially abundant metabolites in GCF. Moreover, multiomics Data Integration Analysis for Biomarker discovery using Latent cOmponents (DIABLO) analysis revealed that 19 differentially abundant metabolites were significantly correlated with Veillonella parvula, Dialister pneumosintes, Leptotrichia buccalis, Pseudoleptotrichia goodfellowii, and Actinomyces massiliensis, in which galactinol, sn-glycerol 3-phosphoethanolamine, D-mannitol, 1 h-indole-1-pentanoic acid, 3-(1-naphthalenylcarbonyl)- and L-iditol yielded satisfactory accuracy for the predictive diagnosis of AD progression. Conclusions This is the first combined subgingival microbiome and GCF metabolome study in patients with AD and aMCI, which revealed that periodontal microbial dysbiosis and metabolic disorders may be involved in the etiology and progression of AD, and the differential abundance of the microbiota and metabolites may be useful as potential markers for AD in the future.
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Stoy, Savanna, Alexandra McMillan, Aaron C. Ericsson, and Amanda E. Brooks. "The effect of physical and psychological stress on the oral microbiome." Frontiers in Psychology 14 (July 5, 2023). http://dx.doi.org/10.3389/fpsyg.2023.1166168.

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BackgroundThe oral microbiome is incredibly complex, containing a diverse complement of microbiota that has previously been categorized into 6 broad phyla. While techniques such as next-generation sequencing have contributed to a better understanding of the composition of the oral microbiome, the role it plays in human health and disease is still under investigation. Previous studies have identified that a more diverse microbiome is advantageous for health. Therefore, alterations to the physical or mental health that are of interest in this study, such as stress, are the factors that decrease microbial diversity, leading to the potential for dysbiosis and disease disposition. Intensive Surgical Skills Week (ISSW) is a hyper-realistic simulation training week for military medical students that takes place at the Strategic Operations (STOPS) facility in San Diego, CA. This training week puts students through mass causality simulations and requires them to work through distinct roles within the healthcare team, providing an almost ideal environment to assess the impact of acute stress on oral microbiome diversity. Based on the literature on stress and microbiota, we hypothesized that the high stress simulation events at ISSW will impact the composition and diversity of the oral microbiome.MethodsTo investigate this hypothesis, thirty-seven (n = 37) second-or third-year medical students who are enlisted in a branch of the military and who attended ISSW in July of 2021 were included in the study. Student participants were divided into 7 teams to complete the hyper-realistic simulations (SIMs) at ISSW. A pilot of sixty-four buccal samples (n = 64) from three of the seven teams were sent for analysis at the University of Missouri Metagenomic Center.ResultsWe saw an overall increase in species richness at the end of ISSW when looking at all samples (n = 64). Fourteen significantly different bacteria were identified from the beginning to the end of data collection. Additionally, third year medical students appear to have a greater species richness compared to second year medical students. Further, third year medical students had a statically significant difference in their oral microbiome richness from beginning to end of data collection (p = 0.008).ConclusionOur preliminary data indicates that physical and psychological stress can impact the composition of the oral microbiome. The analyses in this study show that using the oral microbiome as an indicator of stress is promising and may provide evidence to support stress management practices.
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Sanjar, Fatemeh, David T. Silliman, Ian J. Johnson, Zayer Htut, Trent J. Peacock, Samira F. Thompson, Gregory R. Dion, Md A. Nahid, John F. Decker, and Kai P. Leung. "Identification of temporal shifts of oral bacteria in bone regeneration following mandibular bone defect injury and therapeutic surgery in a porcine model." Molecular Oral Microbiology, March 21, 2024. http://dx.doi.org/10.1111/omi.12460.

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AbstractBackgroundConsidered the second largest and most diverse microbiome after the gut, the human oral ecosystem is complex with diverse and niche‐specific microorganisms. Although evidence is growing for the importance of oral microbiome in supporting a healthy immune system and preventing local and systemic infections, the influence of craniomaxillofacial (CMF) trauma and routine reconstructive surgical treatments on community structure and function of oral resident microbes remains unknown. CMF injuries affect a large number of people, needing extensive rehabilitation with lasting morbidity and loss of human productivity. Treatment efficacy can be complicated by the overgrowth of opportunistic commensals or multidrug‐resistant pathogens in the oral ecosystem due to weakened host immune function and reduced colonization resistance in a dysbiotic oral microbiome.AimsTo understand the dynamics of microbiota's community structure during CMF injury and subsequent treatments, we induced supra‐alveolar mandibular defect in Hanford miniature swine (n = 3) and compared therapeutic approaches of immediate mandibullar reconstructive (IMR) versus delayed mandibullar reconstructive (DMR) surgeries.MethodsUsing bacterial 16S ribosomal RNA gene marker sequencing, the composition and abundance of the bacterial community of the uninjured maxilla (control) and the injured left mandibula (lingual and buccal) treated by DMR were surveyed up to 70‐day post‐wounding. For the injured right mandibula receiving IMR treatment, the microbial composition and abundance were surveyed up to 14‐day post‐wounding. Moreover, we measured sera level of biochemical markers (e.g., osteocalcin) associated with bone regeneration and healing. Computed tomography was used to measure and compare mandibular bone characteristics such as trabecular thickness between sites receiving DMR and IMR therapeutic approaches until day 140, the end of study period.ResultsIndependent of IMR versus DMR therapy, we observed similar dysbiosis and shifts of the mucosal bacteria residents after CMF injury and/or following treatment. There was an enrichment of Fusobacterium, Porphyromonadaceae, and Bacteroidales accompanied by a decline in Pasteurellaceae, Moraxella, and Neisseria relative abundance in days allotted for healing. We also observed a decline in species richness and abundance driven by reduction in temporal instability and inter‐animal heterogeneity on days 0 and 56, with day 0 corresponding to injury in DMR group and day 56 corresponding to delayed treatment for DMR or injury and immediate treatment for the IMR group. Analysis of bone healing features showed comparable bone‐healing profiles for IMR vs. DMR therapeutic approach.

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