scholarly journals Oral Dysbiotic Communities and Their Implications in Systemic Diseases

Author(s):  
Preethi Sudhakara ◽  
Abishek Gupta ◽  
Anshumouli Bhardwaj ◽  
Aruni Wilson

The human body supports the growth of a wide array of microbial communities in various niches, such as the oral cavity, gastro-intestinal and urogenital tracts and on the surface of the skin. These host associated microbial communities include yet-un-cultivable bacteria and are influenced by various factors. Together, these communities of bacteria are referred to as the human microbiome. Human oral microbiome consists of both symbionts and pathobionts. Deviation from symbiosis among the bacterial community leads to “dysbiosis”—a state of community disturbance. Dysbiosis occurs due to many confounding factors that predispose to a shift in the composition and relative abundance of microbial communities. Dysbiotic communities have been a major cause for many microbiomes related systemic infections. Such dysbiosis is directed by certain important pathogens called the “keystone pathogens” that could modulate community microbiome variations. One such persistent infection is oral infection, mainly periodontitis, where a wide array of causal organisms has been implied to systemic infections such as cardio vascular disease, diabetes mellitus, rheumatoid arthritis and Alzheimer’s disease. The keystone pathogens co-occur with many yet-cultivable bacteria and their interactions lead to dysbiosis. This has been the focus of recent research. While immune evasion is one of the major modes that lead to dysbiosis, new processes and new virulence factors of bacteria have been shown to be involved in this important process of that determine disease or health state. This review focuses on such dysbiotic communities, their interactions and their virulence factors that predispose the host to other systemic implications.

2014 ◽  
Vol 11 (2) ◽  
pp. 142-148 ◽  
Author(s):  
Claudia Ferreira ◽  
Maria Carvalho ◽  
Helton Reis ◽  
Karina Gomes ◽  
Marinez Sousa ◽  
...  

Author(s):  
Ciro Gargiulo Isacco ◽  
Andrea Ballini ◽  
Danila De Vito ◽  
Kieu Cao Diem Nguyen ◽  
Stefania Cantore ◽  
...  

: The current treatment and prevention of oral disorders follow a very sectoral control and procedures considering mouth and its structures as system completely independent from the rest of the body. The main therapeutic approach is carried out on just to keep the levels of oral bacteria and hygiene in an acceptable range compatible with one-way vision of oral-mouth health completely separated from a systemic microbial homeostasis (eubiosis vs dysbiosis). This can negatively impact on the diagnosis of more complex systemic disease and its progression. Dysbiosis is consequence of oral and gut microbiota unbalance with consequences, as reported in current literature, in cardio vascular disease, diabetes mellitus, rheumatoid arthritis, and Alzheimer’s disease. Likewise, there is the need to highlight and develop a novel philosophical approach in the treatments for oral diseases that will necessarily involve non-conventional approaches.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
C. J. MacDonald ◽  
A. L. Madika ◽  
G. Severi ◽  
A. Fournier ◽  
M. C. Boutron-Ruault

AbstractDyslipidaemia is a major risk factor for cardio-vascular disease, as it promotes atherosclerosis. While cross-sectional studies have identified higher serum cholesterol amongst individuals with the A blood group, there is less evidence from prospective studies whether this translates into a higher risk of dyslipidaemia that requires treatment, nor if this genetic factor interacts with smoking status. This study aimed to prospectively determine potential associations between smoking, ABO blood groups, and risk of incident dyslipidaemia requiring treatment, and to assess associations over strata of blood ABO group. We assessed associations between blood ABO group, smoking and dyslipidaemia in 74,206 women participating in the E3N cohort. We included women who did not have cardiovascular disease at baseline. Logistic regression was used to determine associations between ABO group, smoking and prevalent dyslipidaemia at baseline. Cox proportional hazard models were then used to determine if blood ABO group and smoking were associated with the risk of incident dyslipidaemia, amongst women free of dyslipidaemia at baseline. At baseline 28,281 women with prevalent dyslipidaemia were identified. Compared to the O-blood group, the non-O blood group was associated higher odds of with prevalent dyslipidaemia (ORnon-O = 1.09 [1.06: 1.13]). Amongst the women free of dyslipidaemia at baseline, 6041 incident cases of treated dyslipidaemia were identified during 454,951 person-years of follow-up. The non-O blood groups were associated with an increased risk of dyslipidaemia when compared to the O-group (HRnon-O = 1.16 [1.11: 1.22]), specifically the A blood-group (HRA = 1.18 [1.12: 1.25]). Current smokers were associated with an increased risk of incident dyslipidaemia (HR smokers = 1.27 [1.16: 1.37]), compared to never-smokers. No evidence for effect modification between smoking and ABO blood group was observed (p-effect modification = 0.45), although the highest risk was observed among AB blood group women who smoked (HR = 1.76 [1.22: 2.55]). In conclusion, the non-O blood groups, specifically the A group were associated with an increased risk of dyslipidaemia. Current smokers were associated with a 30% increased risk of dyslipidaemia. These results could aid in personalised approaches to the prevention of cardiovascular risk-factors.


2000 ◽  
Vol 11 (5) ◽  
pp. 807-814 ◽  
Author(s):  
Alexey N Pavlov ◽  
Natalia B Janson ◽  
Vadim S Anishchenko ◽  
Vladimir I Gridnev ◽  
Pavel Ya Dovgalevsky

Author(s):  
Abhay Patil

Abstract: The assurance of coronary ailment a large part of the time depends upon an eccentric mix of clinical and masochist data. Considering this multifaceted nature, there exists a ton of income among clinical specialists and experts with respect to the useful and careful assumption for coronary sickness. In this paper, we cultivate a coronary disease prediction system that can help clinical specialists in expecting coronary ailment status reliant upon the clinical data of patients. Man-made intelligence-gathering strategies are amazingly useful in the clinical field by giving accurate results and quick finishes of ailments. Thusly, these techniques save part of the ideal opportunity for the two trained professionals and patients. The neural associations can be used as classifiers to expect the assurance of Cardiovascular Heart disorder. Keywords: Cardio Vascular disease, Classification, Artificial neural network, Categorical model and Binary model


2019 ◽  
Vol 2 (2) ◽  
pp. 01-04
Author(s):  
Delcio G Silva Junior

The presence of Cardio Vascular Disease (CVD) impacts negatively on expectation and quality of life of the population, being one of the main causes of disability. Many of those who become cardiovascular patients throughout their life could have had different evolution if preventive attitudes were taken. Since 50’s decade, Framingham studies have shown the importance of predetermining factors for CVD occurrence. The classical CVD risk factors such as diabetes, metabolic syndrome, dyslipidemia, hypertension, smoking and family history are well established as predictors of cardiovascular events. The presence of Cardio Vascular Disease (CVD) impacts negatively on expectation and quality of life of the population, being one of the main causes of disability. Many of those who become cardiovascular patients throughout their life could have had different evolution if preventive attitudes were taken. Since 50’s decade, Framingham studies have shown the importance of predetermining factors for CVD occurrence. The classical CVD risk factors such as diabetes, metabolic syndrome, dyslipidemia, hypertension, smoking and family history are well established as predictors of cardiovascular events. However, in certain clinical conditions, traditional risk factors seem not to fully explain the incidence of CVD. Coronary artery disease and early atherosclerosis in young women with Systemic Lupus Erythematosus (SLE) are one of the best examples of how chronic inflammatory diseases can affect individuals who are normally poorly exposed to traditional risk factors. Even with the plurality of extra-articular manifestations of rheumatologic diseases, such as pulmonary hypertension and SLE encephalopathy, uveitis in spondyloarthritis, or as Achalasia in scleroderma, attention is being paid to the frequent cardiovascular system involvement in these patients, especially in the vascular territory


2012 ◽  
Vol 78 (15) ◽  
pp. 5288-5296 ◽  
Author(s):  
Yu-Wei Wu ◽  
Mina Rho ◽  
Thomas G. Doak ◽  
Yuzhen Ye

ABSTRACTThe NIH Human Microbiome Project (HMP) has produced several hundred metagenomic data sets, allowing studies of the many functional elements in human-associated microbial communities. Here, we survey the distribution of oral spirochetes implicated in dental diseases in normal human individuals, using recombination sites associated with the chromosomal integron inTreponemagenomes, taking advantage of the multiple copies of the integron recombination sites (repeats) in the genomes, and using a targeted assembly approach that we have developed. We find that integron-containingTreponemaspecies are present in ∼80% of the normal human subjects included in the HMP. Further, we are able tode novoassemble the integron gene cassettes using our constrained assembly approach, which employs a unique application of the de Bruijn graph assembly information; most of these cassette genes were not assembled in whole-metagenome assemblies and could not be identified by mapping sequencing reads onto the known referenceTreponemagenomes due to the dynamic nature of integron gene cassettes. Our study significantly enriches the gene pool known to be carried byTreponemachromosomal integrons, totaling 826 (598 97% nonredundant) genes. We characterize the functions of these gene cassettes: many of these genes have unknown functions. The integron gene cassette arrays found in the human microbiome are extraordinarily dynamic, with different microbial communities sharing only a small number of common genes.


Sign in / Sign up

Export Citation Format

Share Document