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Komplexní charakterizace subgingiválního plaku - využití moderních sekvenačních metod v diagnostice a sledování léčby onemocnění parodontu. / Complex characterization of subgingival plaque - use of modern sequencing methods in diagnostics and monitoring of treatment of periodontal diseasesTěšínská, Barbora January 2018 (has links)
Periodontitis is a multifactorial inflammatory disease which can result in a complete loss of teeth. Its main cause is the accumulation of bacteria from the dental plaque followed by massive reaction of the host immune system. It was proved that the composition of oral microbiome (OM) differs in periodontally healthy individuals and patients with periodontitis. This work aims to solve specific parts of the long-term project concerning the taxonomic composition of the OM of periodontally healthy individuals and patients with chronic and aggressive form of the disease. The OM was characterized based on 16s rDNA sequencing. It is evident from the results that the shift in the OM composition occurs prior the development of clincal signs of the disease and that the precise dental care can significantly postpone or even avoid the onset of the disease. When comparing the OM composition in individuals with chronic and aggressive periodontitis, no remarkable differences were detected to explain the faster progress of the aggressive form of the disease. This work also aimed to compare the results obtained by 454 pyrosequencing and Illumina. Both sequencing methods were found to provide statistically comparable results. Illumina MiSeq thus can be employed to build on the former results of the long-term study...
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The Impact of Gestational Diabetes Mellitus and Maternal Oral Microbiome: A Scoping ReviewLangan, Jaclyn P 01 January 2024 (has links) (PDF)
Background: Gestational diabetes mellitus (GDM) is a common pregnancy-related metabolic disorder associated with adverse maternal and fetal outcomes. Recent research has highlighted the potential role of the oral microbiome in the pathophysiology of various systemic conditions, including diabetes mellitus. However, the impact of GDM on the maternal oral microbiome remains relatively understudied. Understanding alterations in the oral microbiome during pregnancy complicated by GDM could provide valuable insights into the mechanistic links between systemic metabolic disorders and oral health.
Objective: The objective of this scoping review was to comprehensively examine the existing literature on the relationship between GDM and maternal oral microbiome composition and diversity. The review sought to identify the microbial changes associated with GDM and explore their potential implications for maternal oral health and pregnancy outcomes.
Design: Following PRISMA-ScR guidelines, a systematic search of electronic databases, including “Pubmed” and “Web of Science,” was conducted to identify relevant studies investigating the impact of GDM on the maternal oral microbiome. Eligible studies included those examining microbial diversity, abundance, and composition in pregnant women with GDM and their neonates. Data synthesis involved summarizing key findings and identifying patterns across studies.
Results: A total of eight primary studies were identified and included in the scoping review. These studies employed various methodologies, including observational reports, longitudinal analyses, and cohort studies, to investigate the relationship between GDM and the maternal oral microbiome. Findings from these studies revealed distinct alterations in oral microbial profiles among neonates and pregnant women with GDM compared to healthy controls. These alterations encompassed shifts in microbial diversity, abundance, and composition, suggesting potential biomarkers or indicators of GDM status within the oral microbiome. Longitudinal analyses further elucidated dynamic changes in the oral microbiota throughout pregnancy and postpartum, underscoring the temporal nature of these associations.
Conclusions: The synthesis of evidence from the scoping review highlights significant associations between GDM and alterations in the maternal oral microbiome. While these findings imply a correlation between GDM and oral microbial changes, causality cannot be directly inferred. Further research is warranted to decipher the underlying mechanisms driving these associations and to explore their potential implications for maternal oral health and pregnancy outcomes. Nonetheless, the insights gleaned from this review underscore the importance of integrating oral health assessments into routine prenatal care protocols for gestational diabetic individuals. By doing so, healthcare providers can enhance risk stratification, early detection, and management of GDM, ultimately improving maternal and neonatal health outcomes.
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