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2 een the two types of plaque, 212 between the supragingival and saliva samples, and 160 between the su
5 oral cavity and a significant constituent of supragingival and subgingival dental plaque in children
10 e the presence and load of SARS-CoV-2 RNA in supragingival, and subgingival biofilms obtained from in
11 16S rRNA sequencing data from fecal, saliva, supragingival, and subgingival plaque samples from JDM p
12 Pg was observed in all the samples (saliva, supragingival, and subgingival plaque) and was correlate
15 mics to identify biochemical features of the supragingival biofilm associated with early childhood ca
20 ted anaerobe with previously unknown role in supragingival biofilm, becomes trapped in streptococcal
24 P <0.0001), gingival bleeding (P <0.05), and supragingival calculus (P <0.0001) than normal subjects.
25 ental prophylaxis, which includes removal of supragingival calculus and plaque, has been shown to arr
28 n probing demonstrated more LCAL and PD, and supragingival calculus had an apparently protective effe
31 ay be important, since incomplete removal of supragingival calculus may expose these reservoirs of po
32 rcentage of sites with gingival bleeding and supragingival calculus only and subgingival calculus wit
34 ble model, cigarette smoking and presence of supragingival calculus were the factors most significant
36 and anaerobic bacteria may be present within supragingival calculus, specifically within the internal
37 g and root planing (SRP) in patients free of supragingival calculus, the chip was placed in target si
40 caling and root planing, whereas CG received supragingival cleaning at baseline and scaling and root
42 2) no periodontal treatment, (3) one or more supragingival curettages, or (4) one or more treatments
43 gienist-delivered full mouth subgingival and supragingival debridement with a host-modulating agent,
44 ignificantly associated with a high level of supragingival dental calculus and cigarette smoking.
45 plaque index (VPI), marginal bleeding index, supragingival dental calculus, probing depth (PD), clini
49 nt of the multispecies oral biofilm known as supragingival dental plaque; they grow by fermentation o
50 to analyze the microbiomes of site-specific supragingival dental plaques from children with differen
52 g (test group) compared to oral hygiene with supragingival instrumentation alone and dental polishing
53 control group (oral hygiene instruction with supragingival instrumentation and dental polishing, n =
54 group patients received full-mouth sub- and supragingival instrumentation using scalers and curets.
55 ct of smoking different tobacco types on the supragingival microbiome and its relation to dental cari
59 at the microbial alpha and beta diversity of supragingival microbiota significantly differed between
61 nine as a substrate for alkali production in supragingival oral biofilms have strong anticaries poten
63 ce: 25.6%) was significantly associated with supragingival plaque (OR = 1.74; 95% CI: 1.22 to 2.50) a
64 CCBs and the widespread presence of abundant supragingival plaque (PI > or =2 on >40% of tooth surfac
65 , presence of bleeding on probing (BOP), and supragingival plaque (PL) were assessed at six sites aro
67 nt level, dichotomous presence or absence of supragingival plaque accumulation, and bleeding on probi
70 , probing depth (PD), gingival bleeding, and supragingival plaque and measures to define MetS using N
76 ies have shown that the nature and amount of supragingival plaque can influence the composition of th
77 Because studies have shown that control of supragingival plaque can influence the onset and/or prog
79 of this study was to evaluate the effect of supragingival plaque control on the recurrence of period
83 igate the metabolic profile of site-specific supragingival plaque in response to the use of arginine
90 ition and caries phenotypes, we profiled the supragingival plaque microbiome of 485 dizygotic and mon
91 microbial communities over time, we profiled supragingival plaque microbiomes of dizygotic and monozy
93 ween baseline and other time points for both supragingival plaque microbiota structure and salivary m
94 ers attenuated observed associations, though supragingival plaque remained significant (OR = 1.47; 95
95 e debridement followed by repeated bi-weekly supragingival plaque removal and chlorhexidine chips app
96 an intensive treatment protocol of bi-weekly supragingival plaque removal and local application of ch
97 an intensive treatment protocol of bi-weekly supragingival plaque removal and local application of ch
103 etected in 6 of 20, 1 of 20, and 11 of 20 of supragingival plaque samples, respectively, and 4 of 20,
104 ility, we employed a computational model for supragingival plaque to systematically sample combinatio
105 n our study, variations in microbiota of the supragingival plaque was investigated from 96 children b
106 ingival inflammation, bleeding tendency, and supragingival plaque were clinically measured at baselin
107 odontitis subjects had a higher frequency of supragingival plaque without increasing gingival inflamm
108 itis patients, including explorer-detectable supragingival plaque, bleeding on probing (BOP) and rela
109 iodontal status included probing depth (PD), supragingival plaque, gingival bleeding on probing, and
111 hifts in sugar transporter types between the supragingival plaque, other oral surfaces, and stool; hy
112 ate two highly abundant species in the human supragingival plaque, Streptococcus mitis and Corynebact
113 oral cavity by interacting with organisms in supragingival plaque, such as the oralis group of oral s
114 mpact the tongue dorsum microbiome more than supragingival plaque, with the relative abundance of spe
128 lysis of plaque samples from subgingival and supragingival sites in all diseases categories for react
130 and potential of machine-learning models of supragingival, subgingival, and salivary microbiomes in
131 ion of the oral cavity is likely to occur on supragingival surfaces that already support robust biofi