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1                      A total of 848 samples (supragingival = 210; subgingival = 155; saliva = 483) fr
2 een the two types of plaque, 212 between the supragingival and saliva samples, and 160 between the su
3                                     Although supragingival and subgingival bacterial profiles diverge
4      ICU patients harbored SARS-CoV-2 RNA in supragingival and subgingival biofilms, irrespective of
5 oral cavity and a significant constituent of supragingival and subgingival dental plaque in children
6                                Here, saliva, supragingival and subgingival plaque samples from period
7 ogical analyses were performed on saliva and supragingival and subgingival plaque.
8                                              Supragingival and subgingival samples (SubDeep: four sit
9                                     Both the supragingival and subgingival versus saliva models also
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
13 coccus dentisani 7746 in the tongue, saliva, supragingival, and subgingival plaque.
14            Here, we integrate multi-omics of supragingival biofilm (dental plaque) from 416 preschool
15 mics to identify biochemical features of the supragingival biofilm associated with early childhood ca
16 ective in reducing gingival inflammation and supragingival biofilm in patients with gingivitis.
17                                        These supragingival biofilm metabolite findings provide novel
18               The simulation was informed by supragingival biofilm microbiome data from 300 preschool
19 ts presented significantly less calculus and supragingival biofilm than OB.
20 ted anaerobe with previously unknown role in supragingival biofilm, becomes trapped in streptococcal
21 ivary glands, gingival crevicular fluid, and supragingival biofilms may harbor SARS-CoV-2 RNA.
22 , supports the viewpoint of dysbiosis of the supragingival biofilms.
23 bjects with > or =10% versus <10% sites with supragingival calculus (OR = 3.6).
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
26                       There is evidence that supragingival calculus contains unmineralized channels a
27 stain, were found within cavities/lacunae in supragingival calculus cryosections.
28 n probing demonstrated more LCAL and PD, and supragingival calculus had an apparently protective effe
29         In contrast to the outcomes LCAL/PD, supragingival calculus had no significant protective eff
30                                              Supragingival calculus harvested from patients with mode
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
33                 The percentage of sites with supragingival calculus was not different between the gro
34 ble model, cigarette smoking and presence of supragingival calculus were the factors most significant
35 , bleeding on probing (BOP), visible plaque, supragingival calculus, and mean tooth loss.
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
38 and the lowest percentage of sites with only supragingival calculus.
39 nly and subgingival calculus with or without supragingival calculus.
40 caling and root planing, whereas CG received supragingival cleaning at baseline and scaling and root
41  clinically at 6-month intervals followed by supragingival cleaning.
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
46                           The microbiomes of supragingival dental plaque differ substantially among t
47                                              Supragingival dental plaque was collected from tooth sur
48 , multigenus consortium in the microbiome of supragingival dental plaque.
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
51 rmine whether there was any adverse shift in supragingival flora.
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
56 acco smoking had a significant impact on the supragingival microbiome.
57              These results demonstrated that supragingival microbiota differed among ethnicity groups
58  whether the ethnic variation influences the supragingival microbiota in children.
59 at the microbial alpha and beta diversity of supragingival microbiota significantly differed between
60                                              Supragingival microbiota were significantly altered amon
61 nine as a substrate for alkali production in supragingival oral biofilms have strong anticaries poten
62 rals to low pH and reduce acid production by supragingival oral biofilms.
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
66 ing on probing (BOP), suppuration (SUP), and supragingival plaque (PL).
67 nt level, dichotomous presence or absence of supragingival plaque accumulation, and bleeding on probi
68                                              Supragingival plaque and calculus indices, salivary flow
69                   The presence or absence of supragingival plaque and clinical attachment loss (CAL)
70 , probing depth (PD), gingival bleeding, and supragingival plaque and measures to define MetS using N
71                                      On real supragingival plaque and stool MG datasets that were gen
72                              Saliva, plasma, supragingival plaque and the tongue dorsum microbiome we
73                         An in vitro model of supragingival plaque associated with gingivitis was char
74 gingival bleeding at >/=50% of sites; and 4) supragingival plaque at >/=50% of sites.
75 ed primarily by disruption of the contiguous supragingival plaque by the mouthrinse.
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
78                                              Supragingival plaque collected from the facial/buccal su
79  of this study was to evaluate the effect of supragingival plaque control on the recurrence of period
80 epth and attachment loss) in both saliva and supragingival plaque habitats.
81                                              Supragingival plaque had no significant effect on cLCAL/
82                                              Supragingival plaque harbors hundreds of bacterial speci
83 igate the metabolic profile of site-specific supragingival plaque in response to the use of arginine
84             This study evaluates the role of supragingival plaque level on the relationship between s
85 croorganisms with CAL changes in relation to supragingival plaque levels in older adult women.
86                                       At low supragingival plaque levels, only the presence of Pg was
87                                      At high supragingival plaque levels, the presence of Tf (OR: 2.4
88 ly associated with CAL at either low or high supragingival plaque levels.
89 er mercaptoalkylguanidine appeared to affect supragingival plaque levels.
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
92                                          The supragingival plaque microbiota had the most complex mic
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
98              An association between MetS and supragingival plaque requires further investigation.
99                      Unstimulated saliva and supragingival plaque samples were collected cross-sectio
100                                        Forty supragingival plaque samples were collected from smokers
101                                              Supragingival plaque samples were collected, and bacteri
102                                              Supragingival plaque samples were taken from 55 dentate
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
110                       Clinical assessment of supragingival plaque, gingival bleeding, subgingival cal
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
115 significant differences were detected in the supragingival plaque.
116 ffect of calcium channel blockers (CCBs) and supragingival plaque.
117  habitats: tongue dorsum, buccal mucosa, and supragingival plaque.
118 requency in subgingival plaque as opposed to supragingival plaque.
119 gens that may be harbored in subgingival and supragingival plaque.
120 aque reflected contributions from saliva and supragingival plaque.
121 ion, cigarette smoking, body mass index, and supragingival plaque.
122       Neither target species was detected in supragingival plaque; A. actinomycetemcomitans was detec
123 g and root planing and control subjects with supragingival prophylaxis.
124                                 Thus, in the supragingival regime, SPO and MPO work in unison for the
125  on 24 subjects for saliva, subgingival, and supragingival samples.
126 d as an adjunct to a maintenance schedule of supragingival scaling and dental prophylaxis.
127 ) that received plaque control instructions, supragingival scaling, and two placebos.
128 lysis of plaque samples from subgingival and supragingival sites in all diseases categories for react
129         Evidence on the 16S metabarcoding of supragingival, subgingival, and salivary microbiomes in
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
132                                After initial supragingival therapy, patients were treated by OSFMUD.
133 cognized ability of S. sputigena to colonize supragingival tooth surfaces.
134 e formation of the salivary pellicle coating supragingival tooth surfaces.
135                             Furthermore, the supragingival versus subgingival model consisted of five

 
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