Dental Research
Dr. Bojtor, Bence
FTJV6V
Department of Internal Medicine and Oncology, Semmelweis University
06204832828
bojtor.bence@semmelweis.hu
SIRT1 in Medication-Related Osteonecrosis of the Jaw
Bence Bojtor1
1: Department of Internal Medicine and Oncology, Semmelweis University
Szóbeli
Dental Research
Hungarian
Dental Research
Introduction
Medication-related osteonecrosis of the jaw (MRONJ) is a rare but severe adverse drug reaction most commonly associated with bisphosphonates and the RANKL-inhibiting antibody used to treat osteoporosis and tumor-related bone loss. The exact pathomechanism of MRONJ remains unclear, but genetic factors may contribute to disease susceptibility.
Aims
To investigate the association between SIRT1 gene polymorphisms and MRONJ, and to evaluate the relationship between SIRT1 serum levels and disease severity.
Method
Genomic DNA was isolated from peripheral blood of MRONJ patients, and four SNPs of the SIRT1 gene were genotyped by Sanger sequencing. Allele frequencies were compared with the European population of the ALFA database. Serum SIRT1 levels were measured by ELISA in MRONJ patients and healthy controls. Group differences were analyzed using non-parametric tests, associations by correlation analyses, and multivariable relationships by principal component analysis (PCA).
Results
The rs932658 genotype distribution in MRONJ patients was 65.1% CC (n=41), 25.4% CA (n=16), and 9.5% AA (n=6), corresponding to a C:A allele ratio of 77.8:22.2, significantly different from the European ALFA population (59.9:40.1; p=4.5×10⁻⁵). PCA revealed additional associations within the studied cohort. A significant negative correlation was observed between MRONJ stage and SIRT1 serum levels in the entire cohort (r=−0.566, p=0.035) and in SIRT1-expressing patients (r=−0.737, p=0.0195).
Conclusion
The rs932658 SNP may help identify patients at increased risk for MRONJ. Decreasing SIRT1 serum levels with increasing disease severity support a potential role of SIRT1 in MRONJ pathogenesis and its possible use in predictive biomarker development.
Funding
This work was supported by the Ministry of Innovation and Technology (2020-4.1.1.-TKP2020-MOLORKIV) and the Hungarian Research Network (SE-ELKH ENDOMOLPAT).
Semmelweis University
Dr. Kósa János, Prof. Dr. Lakatos Péter
I do not give consent to the publication of my abstract on the website of the congress.
in doctoral studies after complex exam (PhD)
Szabad
elfogadva
szóbeli
nem hagyta jóvá
8936
09:15
09:25