scholarly journals Protein biomarkers of external root resorption: A new protein extraction protocol. Are we going in the right direction?

2014 ◽  
Vol 19 (6) ◽  
pp. 62-69
Author(s):  
Giovanni Modesto Vieira
Keyword(s):  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Cold Water ◽  
Protein Extraction ◽  
Protein Markers ◽  
Extraction Protocol ◽  
External Root Resorption ◽  
Sds Page ◽  
Crevicular Fluid ◽  
New Protein

OBJECTIVE: The aim of this study is to determine a protocol of gingival crevicular fluid protein extraction used for the first dimension of 2-DE gels. It also aims at conducting a review on the current candidates for protein markers of this pathology, all of which may be used to prevent the disease.METHODS: Gingival crevicular fluid was collected from two groups of 60 patients each, with and without external root resorption. Samples were extracted by means of various methods of protein extraction. SDS-PAGE gels were used to assess the quality of the method which was subsequently tested during isoelectric focusing of 2-DE gels taken from samples of patients with and without the disease.RESULTS: Milli-Q ultrapure ice cold water, without precipitation for gingival crevicular fluid protein extraction, proved the method with greatest sharpness to detect protein bands. Additionally, it allowed two-dimensional electrophoresis to be performed.CONCLUSION: The new protein extraction protocol does not interfere in isoeletric focusing of 2-DE gels. Furthermore, it provides the greatest sharpness in detecting protein bands of SDS-PAGE gels. This will allow mapping and searching of new external root resorption markers, particularly due to the difficulty in carrying out molecular tests with the current candidates for protein markers.

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 A Bioinformatics Systems Biology Analysis of the Current Oral Proteomic Biomarkers and Implications for Diagnosis and Treatment of External Root Resorption

2021 ◽  
Vol 22 (6) ◽  
pp. 3181
Author(s):  
Mahmoud Mona ◽  
Zunnaira Abbasi ◽  
Firas Kobeissy ◽  
Abdulrahman Chahbandar ◽  
Roberta Pileggi
Keyword(s):  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Dental Health ◽  
Screening Methods ◽  
Traumatic Injuries ◽  
Non Invasive ◽  
External Root Resorption ◽  
Novel Approach ◽  
Precise Diagnosis ◽  
Crevicular Fluid

External root resorption (ERR) is a silent destructive phenomenon detrimental to dental health. ERR may have multiple etiologies such as infection, inflammation, traumatic injuries, pressure, mechanical stimulations, neoplastic conditions, systemic disorders, or idiopathic causes. Often, if undiagnosed and untreated, ERR can lead to the loss of the tooth or multiple teeth. Traditionally, clinicians have relied on radiographs and cone beam computed tomography (CBCT) images for the diagnosis of ERR; however, these techniques are not often precise or definitive and may require exposure of patients to more ionizing radiation than necessary. To overcome these shortcomings, there is an immense need to develop non-invasive approaches such as biomarker screening methods for rapid and precise diagnosis for ERR. In this review, we performed a literature survey for potential salivary or gingival crevicular fluid (GCF) proteomic biomarkers associated with ERR and analyzed the potential pathways leading to ERR. To the best of our knowledge, this is the first proteomics biomarker survey that connects ERR to body biofluids which represents a novel approach to diagnose and even monitor treatment progress for ERR.

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

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

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 > .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.

scholarly journals IL-6 and IL-17 in the Gingival Crevicular Fluid During Orthodontic Root Resorption

2012 ◽  
Vol 10 (4) ◽  
pp. 247-254
Author(s):  
Yoshihiro Yamaguchi ◽  
Takashi Nariyasu ◽  
Noriko Hayashi ◽  
Ryo Nakajima ◽  
Shoji Fujita ◽  
...  
Keyword(s):  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Crevicular Fluid
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