MMP-12 and S100s in saliva reflect different aspects of periodontal inflammation

Holmström, Sofia Björnfot; Lira-Júnior, Ronaldo; Zwicker, Stephanie; Majster, Mirjam; Gustafsson, Anders; Åkerman, Sigvard; Klinge, Björn; Svensson, Mattias; Boström, Elisabeth A.

doi:10.1016/j.cyto.2018.06.036

Cited by 35 publications

(38 citation statements)

References 47 publications

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“…These results are partially in agreement with a previous report from our group, showing that S100A12 alterations were related to gingival bleeding, but not to periodontal pockets, which could be due to the different clinical categorizations used in both cohorts. S100A12 was also related to increased burden of periodontal inflammation (22). According to these reports bleeding seems to be the main determinant of S100A12 levels in saliva and this might be related to the increased density of inflammatory cells in sites with bleeding (40).…”

Section: Discussionmentioning

confidence: 90%

“…The assay range of detection is 7.81-500 pg/ml. The assay was previously validated for saliva by performing spike and recovery tests (22). Saliva and plasma samples were diluted 1:1,000 and 1:5, respectively.…”

Section: Saliva Collectionmentioning

confidence: 99%

“…These cells infiltrate the gingival tissue during disease, undermine oral mucosa integrity through the production of matrix metalloproteinase (MMP)-12 (20) and contribute to the alveolar bone resorption (21). It has been shown that S100A12 levels in saliva are associated with periodontal disease (22). However, the role of monocyteproduced S100A12 in periodontal inflammation has not been investigated yet.…”

Section: Introductionmentioning

confidence: 99%

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S100A12 Expression Is Modulated During Monocyte Differentiation and Reflects Periodontitis Severity

et al. 2020

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Section: Discussionmentioning

confidence: 90%

Section: Saliva Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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S100A12 Expression Is Modulated During Monocyte Differentiation and Reflects Periodontitis Severity

et al. 2020

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“…Since periodontitis is an inflammatory disease, characterized by alveolar bone resorption, we hypothesized that it may affect periodontitis by activating the inflammatory response. Furthermore, a recent study reported that the levels of S calcium‐binding protein A12 ( S100A12 ) were higher in participants with high periodontal inflammatory burden and were associated with percentage of bleeding on probing and presence of any type of tumour (Holmstrom et al, ). The levels of S100A12 in gingival crevicular fluid and serum increased with the inflammation of periodontium (Pradeep et al, ).…”

Section: Discussionmentioning

confidence: 99%

Integration of genome‐wide association study and expression quantitative trait loci data identifies AIM2 as a risk gene of periodontitis

Zheng

Meng

et al. 2020

J Clinic Periodontology

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Aim:To identify risk variants associated with gene expression in peripheral blood and to identify genes whose expression change may contribute to the susceptibility to periodontitis. Material and Methods:We systematically integrated the genetic associations from a recent large-scale periodontitis GWAS and blood expression quantitative trait loci (eQTL) data using Sherlock, a Bayesian statistical framework. We then validated the potential causal genes in independent gene expression data sets. Gene co-expression analysis was used to explore the functional relationship for the identified causal genes.Results: Sherlock analysis identified 10 genes (rs7403881 for MT1L, rs12459542 for SIGLEC5, rs12459542 for SIGLEC14, rs6680386 for S100A12, rs10489524 for TRIM33, rs11962642 for HIST1H3E, rs2814770 for AIM2, rs7593959 for FASTKD2, rs10416904 for PKN1, and rs10508204 for WDR37) whose expression may influence periodontitis. Among these genes, AIM2 was consistent significantly upregulated in periodontium of periodontitis patients across four data sets. The cis-eQTL (rs2814770, ~16 kb upstream of AIM2) showed significant association with AIM2 (p = 6.63 × 10 -6 ) and suggestive association with periodontitis (p = 7.52 × 10 -4 ). We also validated the significant association between rs2814770 and AIM2 expression in independent expression data set. Pathway analysis revealed that genes co-expressed with AIM2 were significantly enriched in immune-and inflammation-related pathways. Conclusion:Our findings implicate that AIM2 is a susceptibility gene, expression of which in gingiva may influence periodontitis risk. Further functional investigation of AIM2 may provide new insight for periodontitis pathogenesis. K E Y W O R D SAIM2, eQTL, GWAS, periodontitis, Sherlock

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“…A number of studies have reported that salivary S100A8, S100A9, S100A8/A9, or MMP‐9 can differentiate patients with periodontitis from subjects without periodontitis with varying degrees of accuracy (Holmström et al, ; Karna, Shin, Kim, & Kim, ; Kim, Shin, Kim, Kim, & Ahn, ; Ramseier et al, ; Wu et al, ). Although there have been a limited number of longitudinal studies, how the levels of these biomarkers change during disease progression from health to periodontitis and following treatment of the disease remains to be elucidated.…”

Section: Introductionmentioning

confidence: 99%

Ability of S100 proteins and matrix metalloproteinase‐9 to identify periodontitis in a ligature‐induced periodontitis dog model

Liu

Lee

Jung

et al. 2019

J Clinic Periodontology

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Aims:The present study aimed to monitor the levels of selected salivary biomarkers during the development and treatment of periodontitis and to evaluate their ability to identify periodontitis in dogs. Materials and methods:A total of 15 beagle dogs were divided into a control group (no ligature), group 1 (ligature on six teeth), and group 2 (ligature on 12 teeth). The experimental periods consisted of 8 weeks of periodontitis induction and 4 weeks of treatment. Clinical measurements and the sampling of saliva were performed every 4 weeks. The levels of S100A8, S100A9, S100A8/A9, and matrix metalloproteinase (MMP)-9 were measured by enzyme-linked immunosorbent assay.Results: All experimental animals and two control animals developed periodontitis, which was successfully treated. All salivary biomarkers were significantly increased in periodontitis with high diagnostic power (c-index ≥ 0.944) and were able to identify animals with periodontitis on a single tooth. Whereas the levels of salivary S100A8/ A9 recovered to levels in health, those of S100A8, S100A9, and MMP-9 in periodontitis stability remained significantly higher than in health.Conclusion: Salivary S100A8, S100A9, S100A8/A9, and MMP-9 may be used for the screening of periodontitis in dogs, but with caution of other conditions that can affect their levels in saliva. K E Y W O R D Sbiomarkers, matrix metalloproteinase-9, periodontitis, saliva | 183 LIU et aL.

show abstract

MMP-12 and S100s in saliva reflect different aspects of periodontal inflammation

Cited by 35 publications

References 47 publications

S100A12 Expression Is Modulated During Monocyte Differentiation and Reflects Periodontitis Severity

S100A12 Expression Is Modulated During Monocyte Differentiation and Reflects Periodontitis Severity

Integration of genome‐wide association study and expression quantitative trait loci data identifies AIM2 as a risk gene of periodontitis

Ability of S100 proteins and matrix metalloproteinase‐9 to identify periodontitis in a ligature‐induced periodontitis dog model

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