scholarly journals Understanding the Korean's oral microorganisms: Biofilm-producing properties of Streptococci

2021 ◽  
Vol 17 (3) ◽  
pp. 154-154
Author(s):  
Ji-Hyung Kim ◽  
Young Je Ahn ◽  
Yun-Sun Kim ◽  
Jung Yeon Seo ◽  
Hyojin Kim ◽  
...  
Keyword(s):  
Oral Microorganisms

scholarly journals Mediterranean herb extracts inhibit microbial growth of representative oral microorganisms and biofilm formation of Streptococcus mutans

PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0207574 ◽  
Author(s):  
Joachim Hickl ◽  
Aikaterini Argyropoulou ◽  
Maria Eleni Sakavitsi ◽  
Maria Halabalaki ◽  
Ali Al-Ahmad ◽  
...  
Keyword(s):  
Streptococcus Mutans ◽  
Biofilm Formation ◽  
Microbial Growth ◽  
Herb Extracts ◽  
Oral Microorganisms

scholarly journals The Antimicrobial Effects of Oridonin Isolated from Rabdosia trichocarpa on Oral Microorganisms.

1994 ◽  
Vol 36 (3) ◽  
pp. 586-591 ◽  
Author(s):  
Koichi SHIMADA ◽  
Seiko KUDO ◽  
Kunio HAYASHI ◽  
Hideyasu AKUTAGAWA ◽  
Koichi ITO ◽  
...  
Keyword(s):  
Antimicrobial Effects ◽  
Oral Microorganisms

scholarly journals Role of bacteria in oral carcinogenesis

2012 ◽  
Vol 01 (02) ◽  
pp. 78-83 ◽  
Author(s):  
R Rajeev ◽  
Kanaram Choudhary ◽  
Swagatika Panda ◽  
Neha Gandhi
Keyword(s):  
Metabolic Pathways ◽  
Bacterial Species ◽  
Cancer Therapeutics ◽  
Microbial Populations ◽  
Genetic Mutations ◽  
Oral Carcinogenesis ◽  
Common Cancer ◽  
Indian Men ◽  
Oral Microorganisms

AbstractOral cancer is the most common cancer diagnosed in Indian men and is the leading cause of cancer deaths. It is considered as a multistep and multifactorial disease. Besides accumulation of genetic mutations, numerous other carcinogens are involved. In this category, viral and chemical carcinogens are well studied and documented. However, in the oral cavity, the role of microbiota in carcinogenesis is not known. Microbial populations on mouth mucosa differ between healthy and malignant sites, and certain oral bacterial species have been linked with malignancies, but the evidence is still weak in this respect. Nevertheless, oral microorganisms inevitably up-regulate cytokines and other inflammatory mediators that affect the complex metabolic pathways, and may thus be involved in carcinogenesis. Poor oral health associates statistically with prevalence of many types of cancer such as pancreatic and gastrointestinal cancer. This review presents possible carcinogenesis pathway involved in bacterial carcinogenesis, commonly implicated bacteria in oral carcinogenesis, and their role in cancer therapeutics as well.

Human serum antibody responses to oral microorganisms IV. Correlation with homologous infection

1987 ◽  
Vol 2 (2) ◽  
pp. 53-59 ◽  
Author(s):  
J. L. Ebersole ◽  
M. A. Taubman ◽  
D. J. Smith ◽  
D. E. Frey ◽  
A. D. Haffajee ◽  
...  
Keyword(s):  
Human Serum ◽  
Serum Antibody ◽  
Antibody Responses ◽  
Oral Microorganisms

In Vitro Antibiotic Sensitivity of Oral Microorganisms to Actinobolin

1970 ◽  
Vol 49 (1) ◽  
pp. 137-139 ◽  
Author(s):  
D.E. Hunt ◽  
H.J. Sandham ◽  
R.C. Caldwell
Keyword(s):  
Antibiotic Sensitivity ◽  
Oral Microorganisms

Cross-Sectional Analysis of Alcohol Intake and Serum Antibodies to Oral Microorganisms

2016 ◽  
Vol 2 (2) ◽  
pp. 168-178 ◽  
Author(s):  
A.T. Merchant ◽  
Y.M. Park ◽  
S. Dodhia ◽  
D. Shrestha ◽  
Y.H. Choi ◽  
...  
Keyword(s):  
Periodontal Disease ◽  
Alcohol Intake ◽  
Normal Glucose Tolerance ◽  
Igg Antibody ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Normal Glucose ◽  
Yellow Orange ◽  
Sectional Analysis ◽  
Oral Microorganisms

The objective of this study was to evaluate the relation between alcohol intake and groups of periodontal antibody titers among individuals with normal glucose tolerance (NGT), prediabetes and diabetes. This was a cross-sectional analysis of the National Health and Nutrition Examination Survey III (NHANES III) 1988–1994 data, among individuals 40 y and older with information on alcohol intake and serum immunoglobulin G (IgG) antibody data against 19 oral microorganisms. Participants were excluded if they did not have teeth, reported that they were taking insulin, or having gestational diabetes. The sample size for this analysis was 3,219. Periodontal antibodies were grouped into four clusters using cluster analysis: Orange-Red, Red-Green, Yellow- Orange, and Orange-Blue. Cluster scores were computed for each individual by summing z-scores of standardized log-transformed IgG titers of antibodies against periodontal microorganisms making up each respective cluster. Each cluster score was modeled as an outcome. Alcohol consumption was assessed in g/day using self-reported number of days of drinking in the past 12 mo and the average number of drinks consumed per day on days when they drank. Overall, alcohol intake was positively associated with periodontal antibodies of the Orange-Red cluster (P. melaninogenica, P. intermedia, P. nigrescens, and P. gingivalis), and inversely associated with the Yellow-Orange cluster (S. intermedius, S. oralis, S. mutans, F. nucleatum, P. micra, C. ochracea) after multivariable adjustment. The association between alcohol intake and the Orange-Red cluster was strongest among individuals with diabetes; this relation was seen among individuals with and without periodontal damage. The Orange-Red cluster was positively associated with periodontal damage among individuals with diabetes. Alcohol intake was not associated with any antibody cluster among individuals with NGT or prediabetes. The effect of alcohol intake on periodontal disease may be greater among individuals with diabetes but this finding needs to be confirmed in prospective studies. Knowledge Transfer Statement: The results of this study can be used by clinicians when treating patients with periodontal disease and diabetes.

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