scholarly journals The effect of two different types of forces on possible root resorption in relation to dentin phosphoprotein levels: a single-blind, split-mouth, randomized controlled trial

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sherifa Ghaleb ◽  
Nazla Tamish ◽  
Walid ElKenany ◽  
Myriam Guindi
Keyword(s):  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Controlled Trial ◽  
Sample Collection ◽  
Orthodontic Force ◽  
Different Types ◽  
Dentin Phosphoprotein ◽  
Early Biomarker ◽  
Crevicular Fluid ◽  
Single Blind

Abstract Background The purpose of this 2-arm-parallel split-mouth trial was to evaluate and compare the extent of possible root resorption using dentin phosphoprotein levels in gingival crevicular fluid between controlled continuous and intermittent orthodontic force groups. Materials and methods A sample of 16 maxillary first premolars from 8 patients requiring bilateral extractions of the upper first premolars as part of their orthodontic treatment were recruited. A buccally directed continuous force of 150 g, reactivated after 28 days, was applied to the upper first premolar on one side for 8 weeks. On the contralateral first premolar, a buccally directed intermittent force (21 days on, 7 days off) of the same magnitude was applied for the same period. Gingival crevicular fluid samples were collected at the beginning of the study, 1st, 3rd, 4th and 5th week, and at the end of the study to quantify and compare dentin phosphoprotein levels in both groups. Results Dentin phosphoprotein levels showed a higher concentration in the continuous force group than the intermittent force group in week 4 and 8 of sample collection; where the differences were statistically significant (95% CI 0.007–0.14; P < .04) and (95% CI 0.02–0.17; P < .04) respectively. No harm was observed. Conclusions Dentin phosphoprotein was found to be a useful early biomarker to detect and monitor root resorption, showing that the application of an intermittent orthodontic force caused less root resorption than a continuous force. Trial registration NCT04825665 ClinicalTrials.gov. Registered 1 April 2021—Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04825665.

Effect of orthodontic force magnitude on cytokine networks in gingival crevicular fluid: a longitudinal randomized split-mouth study

2018 ◽  
Vol 41 (2) ◽  
pp. 214-222 ◽  
Author(s):  
Beral Afacan ◽  
Veli Özgen Öztürk ◽  
Mine Geçgelen Cesur ◽  
Timur Köse ◽  
Nagihan Bostanci
Keyword(s):  
Gingival Crevicular Fluid ◽  
Orthodontic Force ◽  
Force Magnitude ◽  
Cytokine Networks ◽  
Crevicular Fluid

scholarly journals The Effects of Orthodontic Forces during Canine Retraction Using Self-ligating Brackets on Gingival Crevicular Fluid Enzyme Activity, Canine Movement and Root Resorption

2015 ◽  
Vol 44 (2) ◽  
pp. 249-256 ◽  
Author(s):  
Rohaya Megat Abdul Wahab ◽  
Zulham Yamamoto ◽  
Albira Sintian ◽  
Nurfathiha Abu Kasim ◽  
Intan Zarina Zainol Abidin ◽  
...  
Keyword(s):  
Enzyme Activity ◽  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Canine Retraction ◽  
Crevicular Fluid ◽  
Orthodontic Forces

Effect of orthodontic force on expression levels of ten cytokines in gingival crevicular fluid

2017 ◽  
Vol 76 ◽  
pp. 70-75 ◽  
Author(s):  
Livia Nunes ◽  
Luciana Quintanilha ◽  
Giuseppe Perinetti ◽  
Jonas Capelli
Keyword(s):  
Gingival Crevicular Fluid ◽  
Orthodontic Force ◽  
Expression Levels ◽  
Crevicular Fluid

scholarly journals Levels of IL-17, RANKL and OPG in Gingival Crevicular Fluid Obtained from Patients with Severe Orthodontic Root Resorption

2013 ◽  
Vol 12 (1) ◽  
pp. 54-60
Author(s):  
Norihito Aihara ◽  
Masaru Yamaguchi ◽  
Kunihiko Yamada ◽  
Tomokazu Yoshino ◽  
Takemi Goseki ◽  
...  
Keyword(s):  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Crevicular Fluid

Mass spectrometry analysis of gingival crevicular fluid in the presence of external root resorption

2014 ◽  
Vol 145 (6) ◽  
pp. 787-798 ◽  
Author(s):  
Wellington J. Rody Jr ◽  
L. Shannon Holliday ◽  
Kevin P. McHugh ◽  
Shannon M. Wallet ◽  
Victor Spicer ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Mass Spectrometry Analysis ◽  
Spectrometry Analysis ◽  
External Root Resorption ◽  
Crevicular Fluid

scholarly journals Immunoassay analysis of proteins in gingival crevicular fluid samples from resorbing teeth

2015 ◽  
Vol 86 (2) ◽  
pp. 187-192 ◽  
Author(s):  
Wellington J. Rody ◽  
Manjula Wijegunasinghe ◽  
L. Shannon Holliday ◽  
Kevin P. McHugh ◽  
Shannon M. Wallet
Keyword(s):  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Interleukin 1 ◽  
Skewed Distribution ◽  
Mixed Dentition ◽  
Deciduous Teeth ◽  
Permanent Molar ◽  
Dentin Sialoprotein ◽  
Deciduous Molar ◽  
Crevicular Fluid

ABSTRACT Objective:  To carry out an immunoassay analysis of biomarkers expressed in gingival crevicular fluid (GCF) with the main goal of finding a useful diagnostic pattern to distinguish between resorbing deciduous teeth and nonresorbing controls. Materials and Methods:  A split-mouth design was used in this study with a total of 22 GCF samples collected from 11 patients in the mixed dentition. For each child, one deciduous molar with radiographic evidence of root resorption was used as the test tooth whereas the contralateral first permanent molar with formed roots was used as the control tooth. Samples were processed with immunoassays using a panel of selected biomarkers including interleukin-1 beta (IL-1b), interleukin-1 receptor antagonist (IL-1RA), nuclear factor kappa B ligand (RANKL), osteoprotegerin (OPG), matrix metalloproteinase-9 (MMP-9), and dentin sialoprotein (DSP). Results:  There were no statistically significant differences in levels of IL-1b, OPG, and MMP-9 between test and control sites (P &gt; .05). IL-1RA was the only biomarker to show a significant down-regulation (P  =  .04) in GCF samples collected from resorbing teeth. RANKL data showed a heavily skewed distribution and was deemed unreliable. Only one deciduous GCF sample had detectable levels of DSP; therefore, no further statistical calculation was applicable because of the limited amount of data for this biomarker. Conclusions:  This study indicated that IL1-RA is down-regulated in GCF from resorbing primary molars, thus suggesting this cytokine as a potential analyte to be included in a panel that can discriminate between resorbing and nonresorbing teeth.

scholarly journals Multivariate Versus Univariate Spectrum Analysis of Dentine Sialophosphoprotein (DSPP) for Root Resorption Prediction: A Clinical Trial

2021 ◽  
Author(s):  
Mohd Norzaliman Mohd Zain ◽  
Zalhan Md Yu ◽  
Katrul Nadia Basri ◽  
Farinawati Yazid ◽  
Yong Xian Teh ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Univariate Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Root Area ◽  
Tooth Resorption ◽  
Percent Accuracy ◽  
Crevicular Fluid

Abstract Background: A force applied during orthodontic treatment induces inflammation to root area and lead to root resorption known as Orthodontically Induced Inflammatory Root Resorption (OIIRR). Dentine sialophosphoprotein (DSPP) is one of the most abundant non-collagenous protein in dentine that was released into gingival crevicular fluid (GCF) during OIIRR. The aim of this research is to compare DSPP detection using the univariate and multivariate analysis in predicting classification level of root resorption. Methods: The subjects for this study consisted of 30 patients in 3 group classified as normal, mild and severe groups of OIIRR. The GCF samples were taken from upper permanent central incisors in the normal and mild group while the upper primary second molars in the severe group. The DSPP qualitative detection limit was determined by analyzing the whole absorption spectrum utilizing multivariate analysis embedded with different preprocessing method. The multivariate analysis represents the multi-wavelength spectrum while univariate analyzes the absorption of a single wavelength. Results: The results showed that the multivariate analysis technique using Partial Least Square-Discriminate Analysis (PLS-DA) with the preprocess method has successfully improved in classification prediction for the normal and mild group at 0.88 percent accuracy. The multivariate using PLS-DA algorithm with Mean Center preprocess method was able to predict normal and mild tooth resorption classes better than the univariate analysis. The classification parameters have improved in term of the specificity, precision and accuracy. Conclusion: Therefore, the multivariate analysis helps to predict an early detection of tooth resorption complimenting the sensitivity of the univariate analysis.

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