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Recruiting NCT07661784

NCT07661784 Salivary Biomarkers in Periodontal Disease Progression

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Clinical Trial Summary
NCT ID NCT07661784
Status Recruiting
Phase
Sponsor Suleyman Demirel University
Condition Periodontal Disease
Study Type OBSERVATIONAL
Enrollment 240 participants
Start Date 2025-07-10
Primary Completion 2026-07-10

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age 65 Years
Study Type OBSERVATIONAL
Interventions
Saliva Sampling

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 240 participants in total. It began in 2025-07-10 with a primary completion date of 2026-07-10.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

This study aims to evaluate salivary biomarkers associated with bone remodeling during the transition from periodontal health to disease. Periodontal diseases are characterized by chronic inflammation that can lead to connective tissue destruction and alveolar bone loss. Although diagnosis is primarily based on clinical and radiographic findings, these methods may not fully reflect disease activity or progression. In this observational study, individuals with periodontal health, gingivitis, and periodontitis will be included. Salivary levels of IL-17, IL-23, IL-6, TGF-β, RANKL, and OPG will be measured using ELISA. The relationship between these biomarkers and periodontal disease stage and grade will be analyzed. The results are expected to improve understanding of the biological mechanisms underlying periodontal disease progression and to assess the potential role of salivary biomarkers in early diagnosis and personalized treatment approaches.

Eligibility Criteria

Inclusion Criteria: Adults aged 18-65 years Systemically healthy individuals Individuals classified as periodontally healthy, gingivitis, or periodontitis according to clinical periodontal examination Ability and willingness to provide informed consent Exclusion Criteria: Presence of systemic diseases affecting periodontal status (e.g., diabetes mellitus, immunological disorders) Use of antibiotics or anti-inflammatory drugs within the last 3 months History of periodontal treatment within the last 6 months Pregnancy or lactation Smoking (optional ) Any condition that may affect salivary biomarker levels

Contact & Investigator

Central Contact

Erensu Uzar Gürtan, DDS, PhD

✉ erensu.uzar@icloud.com

📞 +90 530 868 1519

Frequently Asked Questions

Who can join the NCT07661784 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, up to 65 Years, studying Periodontal Disease. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07661784 currently recruiting?

Yes, NCT07661784 is actively recruiting participants. Contact the research team at erensu.uzar@icloud.com for enrollment information.

Where is the NCT07661784 trial being conducted?

This trial is being conducted at Isparta, Turkey (Türkiye).

Who is sponsoring the NCT07661784 clinical trial?

NCT07661784 is sponsored by Suleyman Demirel University. The trial plans to enroll 240 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: July 2026  ·  Data Methodology