Influence of periodontal treatment on subgingival and salivary microbiotas

Belstrøm, Daniel; Grande, Maria Anastasia; Sembler-Møller, Maria Lynn; Kirkby, Nikolai; Cotton, Sean L.; Paster, Bruce J.; Holmstrup, Palle

doi:10.1002/jper.17-0377

Cited by 78 publications

(116 citation statements)

References 34 publications

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“…Since no previous data were available on salivary levels of NGAL and transferrin or the salivary microbiota in patients with psoriasis, the sample size was calculated using the clinical periodontal parameter, mean PPD. Based on findings from previous studies (Belstrøm et al, ; Üstün et al, ), the expected PPD in the periodontitis group was 3.4 ± 1.0 mm and the expected PPD in the psoriasis group was 2.8 mm. With fixed values of α = 0.05 and β = 0.10, the calculated sample size was n = 116, with 58 individuals in each group.…”

Section: Methodsmentioning

confidence: 78%

“…Notably, the majority of these bacterial species, including the proposed periopathogen P. gingivalis, were identified with higher relative abundance in patients with periodontitis. Salivary levels of P. gingivalis have been reported to associate with periodontitis (Damgaard et al, ), and previous studies have shown a positive correlation of salivary and subgingival levels of P. gingivalis (Belstrøm et al, ; Nickles, Scharf, Röllke, Dannewitz, & Eickholz, ) suggesting that the salivary microbiota reflects local bacterial alterations associated with periodontitis.…”

Section: Discussionmentioning

confidence: 98%

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Salivary microbiota and inflammation‐related proteins in patients with psoriasis

et al. 2020

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Objective The purpose of the present study was to characterize the composition of the salivary microbiota and quantify salivary levels of inflammation‐related proteins (neutrophil gelatinase‐associated lipocalin [NGAL] and transferrin) in patients with psoriasis and compare data to those obtained in patients with periodontitis and orally healthy controls, respectively. Materials and methods Stimulated saliva samples from patients with psoriasis (n = 27), patients with periodontitis (n = 58), and orally healthy controls (n = 52) were characterized by means of next‐generation sequencing of the 16S rRNA gene. Salivary levels of NGAL and transferrin were quantified using immunoassays. Results Linear discriminant effect size analysis showed that 52 (22 psoriasis‐associated and 30 periodontitis‐associated) and 21 (8 psoriasis‐associated and 13 orally healthy control‐associated) bacterial taxa differentiated the salivary microbiota in patients with psoriasis from that of patients with periodontitis and orally healthy controls, respectively. Significantly lower mean salivary levels of NGAL (psoriasis: 996 [std. error 320], periodontitis: 2,072 [295], orally healthy controls: 2,551 [345] ng/ml, p < .0001) and transferrin (psoriasis: 4.37 [0.92], periodontitis: 7.25 [0.88], orally healthy controls: 10.02 [0.94] ng/ml, p < .0001) were identified in patients with psoriasis. Conclusions Psoriasis associates with characteristics of the salivary microbiota and salivary levels of inflammation‐related proteins, which are different from characteristics in patients with periodontitis and orally healthy controls, respectively.

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Section: Methodsmentioning

confidence: 78%

Section: Discussionmentioning

confidence: 98%

Salivary microbiota and inflammation‐related proteins in patients with psoriasis

et al. 2020

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“…This study is part of a series of studies of a population, which has previously been described in detail [24]. Briefly, 31 patients with moderate to severe generalized periodontitis, as defined by the American Academy of Periodontology [25], were enrolled in the study.…”

Section: Study Populationmentioning

confidence: 99%

“…DNA isolation and next-generation sequencing were performed as previously described in detail [24]. In brief, bacterial DNA was isolated using MagNA Pure 96 instrument (Roche, Mannheim, Germany).…”

Section: Analysis Of Bacteriamentioning

confidence: 99%

“…However, longitudinal studies, which test saliva's ability to reflect periodontal inflammation are limited [16,[21][22][23]. In a recently performed longitudinal study, we found, that saliva CONTACT Maria A. Grande mgra@sund.ku.dk Section for Periodontology, Microbiology and Community Dentistry, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark reflects subgingival abundance of specific bacteria associated with periodontitis; P. gingivalis, T. denticola, T. forsythia, Prevotella intermedia, Parvimonas micra and Filifactor alocis before and after non-surgical periodontal treatment [24]. The aim of the present study was, therefore, to use the same salivary samples to learn if periodontal treatment influences the macrophage activation-related chemokine concentrations in saliva.…”

Section: Introductionmentioning

confidence: 99%

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Salivary concentrations of macrophage activation-related chemokines are influenced by non-surgical periodontal treatment: a 12-week follow-up study

Grande

Belstrøm

Damgaard

et al. 2019

Journal of Oral Microbiology

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Background: During periodontal inflammation, bacteria induces chemokine expression and migration of various inflammatory cells. The aim of the study was to learn if periodontal treatment alters salivary concentrations of macrophage activation-related chemokines and if such alterations correlate with abundance of periodontitis-associated bacteria.Methods: Twenty-five patients with periodontitis completed the study (NCT02913248 at clinicaltrials.gov). Periodontal parameters and stimulated saliva samples were obtained at baseline and 2, 6 and 12 weeks after non-surgical periodontal treatment. Salivary concentrations of monocyte chemoattractant proteins (MCP-1-4), macrophage-derived chemokine (MDC), macrophage migration inhibitory factor (MIF), monokine induced by interferon-gamma (MIG), macrophage inflammatory protein (MIP-1α) and interferon-inducible protein (IP-10) were quantified using the Luminex® xMAP™ technique and abundance of bacteria was quantified using next-generation sequencing.Results: The treatment improved all periodontal parameters and caused an increase in the concentrations of MCP-2, MDC and MIP-1α at week 12 compared to baseline, week 2 and week 6, respectively. Salivary concentrations of MCP-1-2, MDC, MIG, MIP-1α and IP-10 correlated with the abundance of specific periodontitis-associated bacteria.Conclusions: Periodontal treatment impacts salivary concentrations of MCP-2, MDC and MIP-1α, which correlate with the abundance of specific periodontitis-associated bacteria. This indicates that these chemokines reflect periodontal status and possess potential in illustrating a response to treatment.

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Microbiome changes in young periodontitis patients treated with adjunctive metronidazole and amoxicillin

Feres

Retamal‐Valdes

Fermiano

et al. 2020

Journal of Periodontology

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Background To our knowledge, to date, no studies have comprehensively assessed the changes occurring in the subgingival microbiome of young patients with periodontitis treated by means of mechanical and antibiotic therapy. Thus, this study aimed to use next‐generation sequencing to evaluate the subgingival microbial composition of young patients with severe periodontitis treated with scaling and root planing and systemic metronidazole and amoxicillin. Methods Subgingival samples from healthy individuals and shallow and deep sites from periodontitis patients were individually collected at baseline and 90 days post‐treatment. The samples were analyzed using 16S rRNA‐gene sequencing (MiSeq‐Illumina) and QIIME pipeline. Differences between groups for the microbiological data were determined using principal coordinate analysis (PCoA), linear mixed models, and the PERMANOVA test. Results One hundred samples were collected from 10 periodontitis patients and seven healthy individuals. PCoA analysis revealed significant partitioning between pre‐and post‐treatment samples. No major differences in the composition of the subgingival microbiota were observed between shallow and deep sites, at baseline or at 90‐days post‐treatment, and the microbiome of both site categories after treatment moved closer in similarity to that observed in periodontal health. Treatment significantly improved all clinical parameters and reduced the relative abundance of classical periodontal pathogens and of Fretibacterium fastidiosum, Eubacterium saphenum, Porphyromonas endodontalis, Treponema medium, Synergistetes, TM7, and Treponema spp, and increased that of Actinomyces, Rothia, Haemophilus, Corynebacterium, and Streptococci spp. Conclusion Mechanical treatment associated with metronidazole and amoxicillin promoted a beneficial change in the microbiome of young individuals with severe periodontitis.

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Influence of periodontal treatment on subgingival and salivary microbiotas

Abstract: Background: The purpose of this study was to characterize and compare subgingival

Cited by 78 publications

References 34 publications

Salivary microbiota and inflammation‐related proteins in patients with psoriasis

Salivary microbiota and inflammation‐related proteins in patients with psoriasis

Salivary concentrations of macrophage activation-related chemokines are influenced by non-surgical periodontal treatment: a 12-week follow-up study

Microbiome changes in young periodontitis patients treated with adjunctive metronidazole and amoxicillin

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