<i>Porphyromonas gingivalis</i> in saliva associates with chronic and aggressive periodontitis

Damgaard, Christian; Danielsen, Anne Katrine; Enevold, Christian; Massarenti, Laura; Nielsen, Claus Henrik; Holmstrup, Palle; Belstrøm, Daniel

doi:10.1080/20002297.2019.1653123

Cited by 54 publications

(51 citation statements)

References 41 publications

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“…In this study, both of IL-1β and Pg showed signi cant difference among three groups, their salivary level were increasing in the gingivitis group and more higher in the periodontitis group. Our data were in consistence with other studies [12,19], and besides signi cant elevation in gingivitis and periodontitis groups, our data also demonstrated positively association of IL-1β and Pg with clinical indexes (PD and BOP), showed they indeed re ected the periodontal status and can be valuable candidates to predict periodontal disease.…”

Section: Discussionsupporting

confidence: 91%

“…We believe that the change of different markers occur no simultaneously but consecutively at different phase of periodontal disease, a biomarker combination can be more effectively used for diagnosing disease. Salivary interleukin (IL)-1β [9], matrix metalloproteinase (MMP)-8 [10], pyridinoline cross-linked carboxyterminal telopeptide of type I collagen (ICTP) [11] and Porphyromonas gingivalis (Pg) [12] were high prevalence in the populations and revealed a high relationship of periodontitis, the aim of this study is to evaluate discriminate e ciency of these markers among healthy, gingivitis and chronic periodontitis patients and pair them to build a prediction panel for diagnosing periodontal disease.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Salivary Biomarkers for the Diagnosis of Periodontitis

Zhang

Kang

Xue

et al. 2020

Preprint

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Background: To investigate the diagnostic potential of salivary biomarkers and built a prediction panel for diagnosing periodontal disease. Methods: In a cross-sectional study, a total of 85 participants were enrolled in the study and divided into healthy, gingivitis and periodontitis groups based on their periodontal examine results, a full mouth periodontal examination were received and unstimulated saliva were collected. Salivary IL-1β, MMP-8, ICTP and Pg were assessed and their potential of diagnosing periodontal disease were analyzed, the combinational prediction panels of periodontal disease were evaluated. Results: The periodontitis group showed significantly higher level of IL-1β, MMP-8, ICTP and Pg compared to healthy group and higher level of IL-1β, ICTP and Pg compared to gingivitis group, the gingivitis group showed higher level of IL-1β, MMP-8 and Pg compared to healthy group. As a single marker, IL-1β showed the best diagnostic value of four markers and exhibited an AUC value of 0.88 with 94% sensitivity and 71% specificity to discriminate periodontitis from healthy subjects, an AUC value of 0.81 with 82% sensitivity and 76% specificity to discriminate gingivitis from healthy subjects and an AUC value of 0.67 with 69% sensitivity and 64% specificity to discriminate periodontitis from gingivitis subjects. The combination of IL-1, ICTP and Pg exhibited the highest value to discriminate periodontitis from healthy (AUC=0.94) and gingivitis (AUC=0.78) subjects, the combination of IL-1 and MMP-8 exhibited the best value to discriminate gingivitis from healthy subjects (AUC=0.85). Conclusions: Salivary IL-1β, MMP-8, ICTP and Pg showed discriminate efficiency for diagnosing periodontal disease, the combination of IL-1, ICTP and Pg can be used to discriminate periodontitis from healthy and gingivitis subjects and the combination of IL-1 and MMP-8 can be used to discriminate gingivitis from healthy subjects.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Evaluation of Salivary Biomarkers for the Diagnosis of Periodontitis

Zhang

Kang

Xue

et al. 2020

Preprint

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“…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%

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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“…Moreover, several studies have aimed to differentiate patients with periodontitis from orally healthy controls by means of salivary levels of putative periopathogens. For example, a recently published NGSbased study showed that relative abundance of P. gingivalis could discriminate patients with periodontitis from orally healthy controls with an AUC (area under curve) of 0.80 [42], and a PCR-based study of 9 selected periopathogens reported that it was possible to discriminate the severity of periodontitis based on salivary levels of the bacteria tested [43]. Furthermore, salivary levels of periopathogens have been used in periodontal risk assessment.…”

Section: Periodontitismentioning

confidence: 99%

The salivary microbiota in health and disease

Belstrøm

2020

Journal of Oral Microbiology

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150

112

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The salivary microbiota (SM), comprising bacteria shed from oral surfaces, has been shown to be individualized, temporally stable and influenced by diet and lifestyle. SM reflects local bacterial alterations of the supragingival and subgingival microbiota, and periodontitis and dental-caries associated characteristics of SM have been reported. Also, data suggest an impact of systemic diseases on SM as demonstrated in patients with a wide variety of systemic diseases including diabetes, cancer, HIV and rheumatoid arthritis. The presence of systemic diseases seems to influence salivary levels of specific bacterial species, as well as αand β-diversity of SM. The composition of SM might thereby potentially mirror oral and general health status. The contentious development of advanced molecular techniques such as metagenomics, metatranscriptomics and metabolomics has enabled the possibility to address bacterial functions rather than presence in microbial samples. However, at present only a few studies have employed such techniques on SM to reveal functional and metabolic characteristics in oral health and disease. Future studies are therefore warranted to illuminate the possible impact of metabolic functions of SM on oral and general health status. Ultimately, such an approach has the possibility to reveal novel and personalized therapeutic avenues in oral and general medicine.

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Porphyromonas gingivalis in saliva associates with chronic and aggressive periodontitis

Cited by 54 publications

References 41 publications

Evaluation of Salivary Biomarkers for the Diagnosis of Periodontitis

Evaluation of Salivary Biomarkers for the Diagnosis of Periodontitis

Salivary microbiota and inflammation‐related proteins in patients with psoriasis

The salivary microbiota in health and disease

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