A complete physical mapping of the vitamin D receptor gene for dental implant loss: A pilot study.
Clin Oral Implants Res. 2019 Dec;30(12):1165-1178. doi: 10.1111/clr.13529
Munhoz Pereira T1, Alvim-Pereira F2, Kaiser Alvim-Pereira CC2, Ignácio SA1, Machado de Souza C1, Trevilatto PC1.
The risk of 44 diseases at least double with poor Vitamin D Receptor as of Oct 2019
Vitamin D Receptor Activation can be increased by any of: Resveratrol, Omega-3, Magnesium, Zinc. Quercetin, non-daily Vit D. Curcumin, intense exercise, Ginger, Essential oils, etc Note: The founder of Vitamin D Life uses 10 of the 12 known VDR activators
Items in both categories Dental and Vitamin D Receptor are listed here:
- 1.8 X more likely to have additional Dental Implant Failure if poor Vitamin D Receptor – Dec 2019
- Periodontitis probably related to low Vitamin D – review June 2018
- Early tooth decay 1.9 X more likely if a poor Vitamin D receptor – July 2017
- Chronic Periodontitis 9.6 times more likely if smoke and have poor Vitamin D Receptor – Aug 2016
- Dental carries associated with poor vitamin D receptor (TaqI genotypes) – 2016
Download the PDF from sci-hub via Vitamin D Life
OBJECTIVES:
The aim of this pilot case-control study was to investigate the association of clinical variables and genetic polymorphisms in the vitamin D receptor gene (VDR) with dental implant loss.
MATERIAL AND METHODS:
This study was carried out with 244 individuals with mean age 51.90 ± 11.28 (81 cases and 163 controls matched by age, sex, and smoking habit). Also, the clusterization phenomenon was investigated stratifying the sample into two groups: (a) 34 patients with multiple losses (presenting two or more lost implants) and (b) 210 without multiple losses (up to one implant loss). Sociodemographic, clinical, and periodontal parameters were analyzed. The tagSNPs in the VDR gene were analyzed by real-time PCR. Univariate and multivariate analyses were performed (p < .05).
RESULTS:
Edentulism, number of implants installed, and Gingival, Plaque, and Calculus Indexes were associated with implant loss in the univariate analysis. After the multivariate analysis, the allele G of rs3782905 in the recessive model, together with number of installed implants and Gingival Index, was associated with implant failure.
CONCLUSION:
It is suggested that the allele G of rs3782905 in the recessive model may be a new genetic risk marker for dental implant loss in patients who lost two or more dental implants. In addition, number of implants installed and Gingival Index were also associated. Replication is mandatory to confirm these findings, due to the modest sample size of this work.