ABSTRACT Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders affecting women in their reproductive age.It is characterized by anovulation or oligo-ovulation and hyperandrogensim.Androgen excess is the central defect in polycystic ovary syndrome. It is a complex disorder affects general health in addition to oral health.This study aimed to assess the gingival health status among a group of women with polycystic ovary syndrome as well as to estimate the levels of salivaryfree testosterone in unstimulated saliva in relation to gingival health condition. Materials and methods: Sixty two women with an age range 20-25 years old and with a body mass index range18.5-24.9 (normal weight) were included in this study. They were divided into two groups; the study group which included thirty one women with polycystic ovary syndrome, those women. nattended Babylon Teaching Hospital/ Infertility Center and the control group which included thirty one women with regular menstrual cycles,without clinical or biochemical features of hyperandrogenism and ultrasound exclusion of polycystic ovary (without polycystic ovary syndrome). Collection of unstimulated salivary samples was carried out under standardrizedconditions, salivary free testosterone levels were estimated. Plaque index of Silness and Lӧe (1964) was used to assess dental plaque. While gingival index of Lӧe and Silness (1963) was used to assess gingival inflammation. Data analysis was conducted through the application of the (SPSS version 18). The analysis of data included: Mean, Standard deviation, t-test, Pearson Correlation (r), Receiver Operative Characteristics Curve (ROC curve). Results:Results showed that the mean value of plaque index was found to be higher in the control group (1.18±0.03) than that in the study group (1.00±0.08) with statistically highly significant difference (p<0.01).While the mean value of gingival indexwas higher among the study group (1.52±0.06)than that in the control group (1.31±0.05)with statistically highly significant difference (p<0.01).Salivary levels of free testosterone among women with polycystic ovary syndrome (44.12±1.37 pg/ml) were found to be higher than that of control (18.50±0.87) with statistically highly significant difference (p<0.01).The results in this study showed that the correlations between salivary free testosterone with the oral variables (plaque index, gingival index) were statistically not significant (P>0.05). In order to assess the specificity and sensitivity of the use of salivary free testosterone as a diagnostic tool, statistical analysis of Receiver Operative Characteristics Curve (ROC) was used and predictive Value Measurmentswere done in this study. The results showed that the area under the curve for salivary free testosterone test was (1.000) with highly significant p-value (p<0.01). The best optimal cut off point for salivary free testosterone was (30.86) with (100%) sensitivity and specificity, indicating a very good predictive capacity for using salivary free testosterone as a marker for the diagnosis of polycystic ovary syndrome. Conclusions : It was concluded that gingival inflammation was high among women with polycystic ovary syndrome. Furthermore, salivary levels of free testosterone were found to be high among women with polycystic ovary syndrome.
Abstract Introduction: MMP3 plays a crucial role in the process of bone erosion in the pathomechanism of rheumatoid arthritis (RA). It acts by removing the outer osteoid layer, which allows the osteoclasts to tightly connect and carry out the subsequent damage to the underlying bone. MMP3 can trigger the production of other MMPs like MMP-1, MMP-7, and MMP-9, it plays a pivotal role in the remodeling of connective tissues. Aim of the study: to assess the influence of MMP-3 serum levels and single-nucleotide polymorphisms of rs679620 in the rheumatoid arthritis patients' group in comparison to the control group. Subjects: eighty eight samples, 45 rheumatoid arthritis patients after being referred by their treating physician for regular RA
... Show MoreNew series of metal ions complexes have been prepared from the new ligand 1,5- Dimethyl-4- (5-oxohexan-2- ylideneamino) -2-phenyl- 1H-pyrazol-3 (2H)-one derived from 2,5-hexandione and 4-aminophenazone. Then, its V(IV), Ni(II), Cu(II), Pd(II), Re(V) and Pt(IV) complexes prepared. The compounds have been characterized by FT-IR, UV-Vis, mass and 1H and 13C-NMR spectra, TGA curve, magnetic moment, elemental microanalyses (C.H.N.O.), chloride containing, Atomic absorption and molar conductance. Hyper Chem-8 program has been used to predict structural geometries of compounds in gas phase, the heat of formation, (binding, total and electronic energy) and dipole moment at 298 K.
This research studies the possibility of producing Bone China with available local and geological substitutes and other manufactured ones since it’s traditionally produced by Bone ash, Cornish stone, and China clay, while the substitutes are Kaolin instead of China clay and Feldspar potash instead of Cornish stone. Because of the unavailability of Feldspar in Iraq, it was substituted with the manufactured alternative Feldspar. Bone ash was prepared from cow bones with heating treatments, grinding and sifting. The alternative Feldspar was prepared by chemical analysis of the natural Feldspar potash with local materials that include Dwaikhla Kaolin, Urdhuma Silica sand, Potassium Carbonate, and Sodium Carbonate. The mixture was burned at
... Show MoreThe study using Nonparametric methods for roubust to estimate a location and scatter it is depending minimum covariance determinant of multivariate regression model , due to the presence of outliear values and increase the sample size and presence of more than after the model regression multivariate therefore be difficult to find a median location .
It has been the use of genetic algorithm Fast – MCD – Nested Extension and compared with neural Network Back Propagation of multilayer in terms of accuracy of the results and speed in finding median location ,while the best sample to be determined by relying on less distance (Mahalanobis distance)has the stu
... Show MoreIn light of the development in computer science and modern technologies, the impersonation crime rate has increased. Consequently, face recognition technology and biometric systems have been employed for security purposes in a variety of applications including human-computer interaction, surveillance systems, etc. Building an advanced sophisticated model to tackle impersonation-related crimes is essential. This study proposes classification Machine Learning (ML) and Deep Learning (DL) models, utilizing Viola-Jones, Linear Discriminant Analysis (LDA), Mutual Information (MI), and Analysis of Variance (ANOVA) techniques. The two proposed facial classification systems are J48 with LDA feature extraction method as input, and a one-dimen
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