Clinical trial NCT04663165: Biomarkers for Periodontitis Relapse
Official title: Biomarkers in Gingival Exudate and Blood Serum Before and After Surgical Treatment of Periodontitis
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Periodontitis
Keywords: Periodontitis
Gingival crevicular fluid (GCF)
Serum
Inflammation
Lead sponsor: Region Gävleborg
Sponsor class: OTHER
Collaborators: name: Umeå University
First posted: 2020-12-10
Enrollment: 21
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: NON_RANDOMIZED
Intervention model: SEQUENTIAL
Intervention model description: a clinical prospective interventional study with longterm follow-up
Primary purpose: TREATMENT

Brief summary: In this clinical study, we have collected GCF at diseased teeth and at the same time drawn blood, both before and at 3, 6 and 12 months after periodontal surgical treatment. This give us the opportunity to investigate if periodontal treatment could reduce inflammatory biomarkers in the systemic circulation and if there is a co-variation between biomarkers in GCF and blood.

In part I of this study, we focus on biomarkers from blood serum in patients with periodontitis, before surgical therapy and under a healing period 12 months.

In part II, biomarkers in the locally collected GCF will be analyzed together with clinically reported measurements and compared with biomarkers in blood serum.

Hypothesis are

* Periodontal treatment followed by clinical healing and periodontal health will be associated a change/ reduction in biomarkers in GCF.
* The systemic levels of inflammatory biomarkers may show a delayed response to clinical healing. Periodontal surgical therapy may reduce circulating inflammatory biomarkers that could affect the low-grade chronic inflammation.
* There is a co-variation between inflammatory biomarkers in GCF and the systemic circulation.

Detailed description: Periodontitis, a disease affecting the tissue supporting the tooth, is initiated by microbes colonizing the tooth causing an inflammation of the soft tissue around the tooth. In some sensitive individuals the inflammatory response leads to loss of jawbone, which affect the bone support of the tooth and may end up in loss of teeth. Periodontitis is the sixth most prevalent disease in the world, 40% of the population with affected jawbone support and approximately 10% of the population suffer from severe loss of the supporting jawbone at teeth. Periodontitis may be halted or resolved by removing the microbial biofilm from the teeth root and in severe cases combined with surgical treatment removing inflammatory tissue. The genetic factors explain approximately 50% of the disease, and but the etiology is in parts unclear and effective therapy in sensitive individuals is still missing.

The inflammatory response initiated by microbes leads to degradation of the tooth supporting tissues. The current view is that pro-inflammatory cytokines and prostaglandins, produced by leukocytes and cells of mesenchymal origin in the inflamed tissue are responsible for recruiting and activation of bone-resorbing cells, osteoclasts. The inflammatory biomarkers and tissue degradation products will leak out into the exudate in the gingival pocket next to the root surface. The bone resorption activity connected to changes in biomarkers levels and clinical parameters, during healing after periodontal treatment seem to be of value to study. The analysis of the local exudate (gingival crevicular fluid, GCF) could be used for predicting and monitoring periodontitis, as well as finding new targets for treatment.

Periodontitis could also have a systemic effect, as locally released inflammatory mediators might enter the systemic circulation and influence the development of inflammatory conditions such as cardiovascular disease (CVD), diabetes and rheumatoid arthritis. Earlier studies have shown that a low-grade chronic inflammation plays an important role in the pathogenies in atherosclerosis. Substances that indicate low-grade chronic inflammation in blood serum is for example levels of C-reactive protein (CRP), fibrinogen, and adhesion-molecules, and these biomarkers are related to CVD. The question is if periodontal treatment could change/reduce the systemic inflammatory burden of inflammatory biomarkers (CRP, fibrinogen, interleukins, and matrix metalloproteinases (MMP)).

We know today that there is association between oral health and CVD, but we do not know if the relationship it is of a causal nature. There are some intervention studies that indicate that the oral inflammatory burden may have a systemic effect. To better understand the role of the oral inflammation in development of atherosclerosis, it is important to study biomarkers at different timepoints both from the local sites (GCF) and the general systemic environment in blood. If there is a co-variation in levels of inflammatory biomarkers locally in the GCF and in the systemic circulation, this could be a strong indication of a more causal nature of the association, but we need more studies.

The value of the study is to better understand what drives the local disease progression in periodontitis and also increase the knowledge by which mechanism the oral inflammation could exert its systemic effect. Measuring levels of biomarkers in GCF and serum at several timepoints after treatment we may contribute with new insights in the role of inflammatory inducing molecules in periodontal disease, but also if there exists any systemic effect from locally released inflammatory mediators. The possibility that some molecules co-variate with disease progression or regression is of great value.

The possible co-variation of molecules with disease progression or regression is important knowledge in understanding how oral infection may affect the general health.

Part I: Serum biomarkers for periodontitis relapse Part II: GCF biomarkers for periodontal healing and relapse

This is a prospective clinical intervention study to investigate healing of severe periodontitis sites after periodontal surgical therapy and in what extent the clinical healing is associated with changes of the inflammatory expression of biomarkers in gingival crevicular fluid (GCF) and in blood serum.

21 patients were recruited consecutively and treated surgically of one experienced specialist in periodontology. Two teeth in different quadrants per patient, with the deepest pocket measured, were selected and included in the study. Periodontal surgery was performed and at 13 of the teeth an additional treatment with enamel matrix derivative (EMD/Emdogain®) were performed. Registration of full mouth plaque score (FMPS), periodontal pocket depth (PPD), bleeding on probing (BOP) or pus were performed before surgery, after 3, 6 and 12 months. Radiographs were taken at examination before treatment and at the follow-up at 12 months.

Blood samples and samples of gingival crevicular fluid (GCF) were collected before and at the follow-up visits 3, 6 and 12 months after surgical treatment. GCF samples was labelled and stored at -80°C.

Blood samples were drawn and handled by the chemical laboratory at Gävle hospital in conjunction to therapy and follow-up points. Blood were collected from each patient and 5x1mL serum was labelled and stored at -80°C.

Protein analysis on blood sera and GCF performed and concentrations of 92 proteins were assessed by proximity extension assay (Olink Bioscience, Sweden) using the Inflammation panel.

Vascular Injury Panel 2 Human Kit (Meso Scale Diagnostics) were used to assess concentration of C-Reactive Protein (CRP), Intercellular Adhesion Molecule-1 (ICAM-1), Serum Amyloid A (SAA) and Vascular Cell Adhesion Molecule-1 (VCAM-1) in sera.

Eligibility criteria: Inclusion Criteria:

* patient with diagnosed periodontitis
* at least three teeth with ≥ 4mm loss of bone support detected at radiograph, combined with periodontal pocket depth ≥5mm and bleeding on probing and/or pus, in two quadrants

Exclusion Criteria:

* periodontal therapy the last 3 months
* intake of antibiotic the last 3 months
* intake of anti-inflammatory drug the last 2 weeks before collection of samples

Primary outcomes:
measure: Bleeding on probing (BOP) 3 months
timeFrame: between baseline and 3 months after treatment
measure: Bleeding on probing (BOP) 6 months
timeFrame: between baseline and 6 months after treatment
measure: Bleeding on probing (BOP) 12 months
timeFrame: between baseline and 12 months after treatment
measure: Periodontal pocket depth (PPD) 3 months
timeFrame: between baseline and 3 months after treatment
measure: Periodontal pocket depth (PPD) 6 months
timeFrame: between baseline and 6 months after treatment
measure: Periodontal pocket depth (PPD) 12 months
timeFrame: between baseline and 12 months after treatment
measure: Plaque Index (PLI) 3 months
timeFrame: between baseline and 3 months after treatment
measure: Plaque Index (PLI) 6 months
timeFrame: between baseline and 6 months after treatment
measure: Plaque Index (PLI) 12 months
timeFrame: between baseline and 12 months after treatment
measure: Biomarkers in blood serum 3 months
timeFrame: between baseline and 3 months after treatment
measure: Biomarkers in blood serum 6 months
timeFrame: between baseline and 6 months after treatment
measure: Biomarkers in blood serum 12 months
timeFrame: between baseline and 12 months after treatment
measure: Biomarkers in gingival crevicular fluid (GCF) 3 months
timeFrame: between baseline and 3 months after treatment
measure: Biomarkers in gingival crevicular fluid (GCF) 6 months
timeFrame: between baseline and 6 months after treatment
measure: Biomarkers in gingival crevicular fluid (GCF) 12 months
timeFrame: between baseline and 12 months after treatment
Secondary outcomes:
measure: Association between BOP and serum protein profile 3 months
timeFrame: between baseline and 3 months after treatment
measure: Association between BOP and serum protein profile 6 months
timeFrame: between baseline and 6 months after treatment
measure: Association between BOP and serum protein profile 12 months
timeFrame: between baseline and 12 months after treatment
measure: Association between PPD and serum protein profile 3 months
timeFrame: between baseline and 3 months after treatment
measure: Association between PPD and serum protein profile 6 months
timeFrame: between baseline and 6 months after treatment
measure: Association between PPD and serum protein profile 12 months
timeFrame: between baseline and 12 months after treatment
measure: Association between BOP and GCF protein profile 3 months
timeFrame: between baseline and 3 months after treatment
measure: Association between BOP and GCF protein profile 6 months
timeFrame: between baseline and 6 months after treatment
measure: Association between BOP and GCF protein profile 12 months
timeFrame: between baseline and 12 months after treatment
measure: Association between PPD and GCF protein profile 3 months
timeFrame: between baseline and 3 months after treatment
measure: Association between PPD and GCF protein profile 6 months
timeFrame: between baseline and 6 months after treatment
measure: Association between PPD and GCF protein profile 12 months
timeFrame: between baseline and 12 months after treatment
Other outcomes:
Locations:
city: Gävle
country: Sweden
facility: Specialist Clinic in Dental Care, Gävle Hospital, Public Dental Health Gävleborg AB, Region Gävleborg
state: Gävleborg
city: Gävle
country: Sweden
facility: Specialist Clinic in Dental Care, Gävle Hospital, Public Dental Health Gävleborg, Region Gävleborg
state: Gävleborg
Study officials:
affiliation: Department of Molecular Periodontology, Umeå University, Sweden
name: Lundberg, Prof.
role: PRINCIPAL_INVESTIGATOR
References:
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