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Effect of Alendronate Treatment on Salivary Levels of Osteoprotegrin and TNF-α in Postmenopausal Woman with Osteoporosis and Periodontal Diseases
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Background: All diseases concerning bone destruction such as osteoporosis and periodontal diseases share common pattern in which the osteoclast cells are absolutely responsible for bone resorption that occurred when osteoclast activity exceeds osteoblast activity. Osteoprotegrin (OPG) considered as novel soluble decoy receptor known as “bone protector” since it prevents extreme bone resorption through inhibition of differentiation and activity of osteoclast by competing for binding site. It binds to receptor activator of nuclear factor kappa-B ligand (RANKL) and prevent its interaction with receptor activator of nuclear factor kappa-B (RANK), thus inhibits osteoclast formation. TNF-α is a pro-inflammatory cytokines having a broad range of important roles in regulation of immune system and bone resorption through the stimulation of osteoclastogenesis. Alendronate (ALN) diminishes the expression of osteoclast activating factors and cytokines such as RANKL and enhances the production of decoy receptor osteoprotegerin in osteoblast cells. Moreover, it decreases the production of proinflammatory cytokines such as TNF-α by macrophage, stimulates apoptosis of monocyte-macrophage cell lines derivative and reduces inflammatory response. Aims of the Study: 1. To assess the effect of alendronate treatment on salivary levels of osteoprotegrin and TNF-α in postmenopausal women with osteoporosis and periodontal disease 2. To find any possible correlation between salivary levels of osteoprotegrin and TNF-α in control and study groups. Materials and Methods: Total sample of 90 female subjects (55-65 years) were divided into 3 groups, (30 subjects in each group): first control group involved systemically healthy subjects with healthy periodontium, second group involved postmenopausal women with osteoporosis under alendronate treatment for(3-6)months (alendronate group), third group involved postmenopausal women with osteoporosis without alendronate treatment(osteoporosis group). The last two groups were sub- divided in- to two sub –groups (15 subjects in each sub-group) of gingivitis and periodontitis subjects respectively. Salivary samples were collected from all subjects and salivary levels of osteoprotegrin and TNF- α were determined by enzyme –linked immune sorbent assay (ELISA). Results: Highest median value of salivary (OPG) was found in alendronate group followed by control group while the lowest value was found in osteoporosis group. Highest median value of TNF- α was found in osteoporosis group followed by control group and alendronate group respectively with highly significant differences between them. Spearman correlation between salivary levels of TNF-α and OPG showed non- significant correlation at all subgroups. Conclusion: Subjects with osteoporosis in this study had greater levels of TNF-α and decrease in the level of OPG comparing with patients under alendronate treatment. Alendronate treatment for women with osteoporosis and periodontal disease may have beneficial outcome.

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Publication Date
Sun May 11 2014
Journal Name
World Journal Of Experimental Biosciences
Detection of hydrolytic enzymes produced by Azospirillum brasiliense isolated from root soil
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Publication Date
Fri Sep 01 2023
Journal Name
Journal Of Ecological Engineering
Removal of Nitrate from Aqueous Solution by Bio-Calcium from Iraqi Eggshells
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Publication Date
Sun Mar 06 2022
Journal Name
Cogent Arts &humanities
A corpus-based stylistic analysis of online suicide notes retrieved from Reddit
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Publication Date
Tue Mar 25 2014
Journal Name
Sensors
Minimal Camera Networks for 3D Image Based Modeling of Cultural Heritage Objects
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Publication Date
Fri Jan 01 2021
Journal Name
Materials Today:proceeding
Modification of CR39 surfaces by 193 nm ArF laser for biomaterial sensing
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Publication Date
Tue Dec 01 2020
Journal Name
Journal Of Economics And Administrative Sciences
Using Kernel Density Estimator To Determine the Limits of Multivariate Control Charts.
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Quality control is an effective statistical tool in the field of controlling the productivity to monitor and confirm the manufactured products to the standard qualities and the certified criteria for some products and services and its main purpose is to cope with the production and industrial development in the business and competitive market. Quality control charts are used to monitor the qualitative properties of the production procedures in addition to detecting the abnormal deviations in the production procedure. The multivariate Kernel Density Estimator control charts method was used which is one of the nonparametric methods that doesn’t require any assumptions regarding the distribution o

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Publication Date
Thu Mar 30 2023
Journal Name
Journal Of Economics And Administrative Sciences
An Artificial Intelligence Algorithm to Optimize the Classification of the Hepatitis Type
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Hepatitis is one of the diseases that has become more developed in recent years in terms of the high number of infections. Hepatitis causes inflammation that destroys liver cells, and it occurs as a result of viruses, bacteria, blood transfusions, and others. There are five types of hepatitis viruses, which are (A, B, C, D, E) according to their severity. The disease varies by type. Accurate and early diagnosis is the best way to prevent disease, as it allows infected people to take preventive steps so that they do not transmit the difference to other people, and diagnosis using artificial intelligence gives an accurate and rapid diagnostic result. Where the analytical method of the data relied on the radial basis network to diagnose the

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Publication Date
Fri Aug 02 2024
Journal Name
Engineering, Technology & Applied Science Research
Contributory Factors related to the Tensile Strength of Hot Mix Asphalt Concrete
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Tensile strength is a critical property of Hot Mix Asphalt (HMA) pavements and is closely related to distresses such as fatigue cracking. This study aims to evaluate methods for assessing fatigue cracking in Asphalt Concrete (AC) mixes. In order to achieve optimum density at different binder contents, the mixes were compressed using a gyratory compactor. Tensile strength was assessed using the Indirect Tensile (IDT) and Semi-Circular Bend (SCB) tests. The results showed that the tensile strength measured by the SCB test was consistently higher than that measured by the IDT test at 25 °C. In addition, the SCB test showed a stronger correlation between increasing binder content and tensile strength. For binder contents ranging from 4

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Publication Date
Thu May 18 2017
Journal Name
Semiconductor Science And Technology
Improving the optoelectronic properties of titanium-doped indium tin oxide thin films
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Publication Date
Mon Jul 01 2013
Journal Name
Http://www.i-csrs.org/volumes/gisars/vol.3/vol.3.1.1.july.12.pdf
Remote sensing technique to monitoring the risk of soil degradation using NDVI
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In order to take measures in controlling soil erosion it is required to estimate soil loss over area of interest. Soil loss due to soil erosion can be estimated using predictive models such as Universal Soil Loss Equation (USLE). The accuracy of these models depends on parameters that are used in equations. One of the most important parameters in equations used in both of models is (C) factor that represents effects of vegetation and other land covers. Estimating land cover by interpretation of remote sensing imagery involves Normalized Difference Vegetation Index (NDVI), an indicator that shows vegetation cover. The aim of this study is estimate (C) factor values for Part of Baghdad city using NDVI derived from satellite Image of Landsat-7

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