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 Complement and coagulation cascades activation is the main pathophysiological pathway in early-onset severe preeclampsia revealed by maternal proteomics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lina Youssef ◽  
Jezid Miranda ◽  
Miquel Blasco ◽  
Cristina Paules ◽  
Francesca Crovetto ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Early Onset ◽  
Goodness Of Fit ◽  
Univariate Analysis ◽  
Maternal Blood ◽  
Partial Least Square ◽  
Severe Preeclampsia ◽  
Least Square ◽  
Pathway Enrichment Analysis ◽  
Proteomics Analysis

AbstractPreeclampsia is a pregnancy-specific multisystem disorder and a leading cause of maternal and perinatal morbidity and mortality. The exact pathogenesis of this multifactorial disease remains poorly defined. We applied proteomics analysis on maternal blood samples collected from 14 singleton pregnancies with early-onset severe preeclampsia and 6 uncomplicated pregnancies to investigate the pathophysiological pathways involved in this specific subgroup of preeclampsia. Maternal blood was drawn at diagnosis for cases and at matched gestational age for controls. LC–MS/MS proteomics analysis was conducted, and data were analyzed by multivariate and univariate statistical approaches with the identification of differential pathways by exploring the global human protein–protein interaction network. The unsupervised multivariate analysis (the principal component analysis) showed a clear difference between preeclamptic and uncomplicated pregnancies. The supervised multivariate analysis using orthogonal partial least square discriminant analysis resulted in a model with goodness of fit (R2X = 0.99, p < 0.001) and a strong predictive ability (Q2Y = 0.8, p < 0.001). By univariate analysis, we found 17 proteins statistically different after 5% FDR correction (q-value < 0.05). Pathway enrichment analysis revealed 5 significantly enriched pathways whereby the activation of the complement and coagulation cascades was on top (p = 3.17e−07). To validate these results, we assessed the deposits of C5b-9 complement complex and on endothelial cells that were exposed to activated plasma from an independent set of 4 cases of early-onset severe preeclampsia and 4 uncomplicated pregnancies. C5b-9 and Von Willbrand factor deposits were significantly higher in early-onset severe preeclampsia. Future studies are warranted to investigate potential therapeutic targets for early-onset severe preeclampsia within the complement and coagulation pathway.

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 Comparison of flavour fingerprint, electronic nose and multivariate analysis for discrimination of extra virgin olive oils

2019 ◽  
Vol 6 (3) ◽  
pp. 190002
Author(s):  
Qi Zhou ◽  
Shaomin Liu ◽  
Ye Liu ◽  
Huanlu Song
Keyword(s):  
Multivariate Analysis ◽  
Electronic Nose ◽  
Corn Oil ◽  
Solid Phase ◽  
Partial Least Square ◽  
Least Square ◽  
Gas Chromatography Mass Spectrometry ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Coefficient Method

Flavour is a special way to discriminate extra virgin olive oils (EVOOs) from other aroma plant oils. In this study, different ratios (5, 10, 15, 20, 30, 50, 70 and 100%) of peanut oil (PO), corn oil (CO) and sunflower seed oil (SO) were discriminated from raw EVOO using flavour fingerprint, electronic nose and multivariate analysis. Fifteen different samples of EVOO were selected to establish the flavour fingerprint based on eight common peaks in solid-phase microextraction–gas chromatography–mass spectrometry corresponding to 4-methyl-2-pentanol, ( E )-2-hexenal, 1-tridecene, hexyl acetate, ( Z )-3-hexenyl acetate, ( E )-2-heptenal, nonanal and α-farnesene. Partial least square discrimination analysis (PLS-DA) was used to differentiate EVOOs and mixed oils containing more than 20% of PO, CO and SO. Furthermore, better discrimination efficiency was observed in PLS-DA than PCA (70% of CO and SO), which was equivalent to the correlation coefficient method of the fingerprint (20% of PO, CO and SO). The electronic nose was able to differentiate oil samples from samples containing 5% mixture. The discrimination method was selected based on the actual requirements of quality control.

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 Analysis for Determinants of Online Consumers Trust

2021 ◽  
Vol 1 ◽  
Author(s):  
Aprilia Aryanti Widyasari ◽  
Putri Pratama Deliana Nursafitri ◽  
Achmad Yanu Alifianto
Keyword(s):  
Multivariate Analysis ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Online Shopping ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Brand Awareness ◽  
Customer Trust ◽  
The Relationship

This research aims to examine the effect of customer satisfaction on customer trust, the effect of security perception on customer satisfaction and customer trust, the influence of privacy on customer satisfaction and customer trust, the influence of brand awareness on customer satisfaction and customer trust, as well as the influence of customer satisfaction mediation on the relationship between perception security, privacy and brand awareness with customer trust. This research focuses observations on 100 people in Surabaya who have made transactions on online shopping sites. Private students and employees dominate the number of respondents in this research. To test the research hypothesis, this research adopted the Structural Equation Model-Partial Least Square (SEM-PLS) technique using SmartPLS. This research proves that brand awareness has a significant effect on customer trust and customer satisfaction, security perceptions have a significant effect on customer trust and customer satisfaction, privacy has a significant effect on customer trust and not on customer satisfaction, and customer satisfaction on customer trust

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