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A study to identify diagnostic salivary markers for assessment of alveolar ridge resorption in edentate subjects

Implementing Organization

King George Medical University, Uttar Pradesh
Principal Investigator
Dr. Deeksha Arya
King George Medical University, Uttar Pradesh
CO-Principal Investigator
Prof. Saumyendra Vikram Singh
King George Medical University, Uttar Pradesh
CO-Principal Investigator
Dr. Mohammad Kaleem Ahmad
King George Medical University, Uttar Pradesh

About

Residual Ridge Resorption (RRR) is a progressive depletion of alveolar jaw bone without teeth, which supports prosthetics and restores esthetics and function. This depleted foundation leads to poor prosthodontic prognosis and is caused by a combination of local and systemic factors. Severe RRR has local and systemic implications, and assessing its severity can help predict the prognosis of prosthetic interventions, determine prosthetic wear duration, make necessary modifications, alert to frequency of remakes, and initiate pharmacological interventions. The scientific objective is to identify diagnostic salivary markers for assessing alveolar ridge resorption in edentate subjects. Salivary samples will be collected and assessed for the presence and level of five biomarkers (MMP-8, IL-1b, RANKL, OPG, and OC) using ELISA. Orthopantomograms will be performed to assess residual ridge resorption levels. If the research objective is achieved, salivary markers diagnostic of severe alveolar resorption will be identified, leading to necessary prosthetic/pharmacological/surgical interventions to address the resorption, improving prosthodontic outcomes, esthetics, mastication, quality of life, and systemic health in the edentulous elderly. Salivary marker estimation will become part of routine treatment planning for the edentulous.
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Life Sciences & Biotechnology
Start Year
2023
End Year
2025
Sanction Amount
₹ 17.43 L
Status
Completed
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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