Background: Diabetic patients have been reported to be more susceptible to gingivitis and periodontitis than healthy subjects. Many intracellular enzymes like (alkaline phosphatase- (ALP), aspartate aminotransferase- (AST) and alanine aminotransferase- (ALT) that are released outside cells into the gingival crevicular fluid (GCF) and saliva after destruction of periodontal tissue during periodontitis. This study was conducted to determine the periodontal health status and the levels of salivary enzymes (ALP, AST and ALT) of the study and control groups and to correlate the levels of these enzymes with clinical periodontal parameters in each study group. Subjects, Materials and Methods: One hundred subjects were enrolled in the study, with an age range of (35-50) years, only males were included. The subjects were divided intostudy groups (group-I consists of 30 patients with controlled type 2 diabetes mellitus(T2DM), group-II consists of 30 patients with uncontrolled T2DM, group-III consists of 25 patients non-diabetics, all of them have chronic periodontitis(CP) and group-IV consists of 15 apparently- systemically healthy subjects and have healthy periodontium, as control group. Unstimulated saliva samples were collected for biochemical analysis of salivary enzymes (ALP, AST and ALT).The clinical periodontal parameters including: plaque index (PLI), gingival index (GI), bleeding on probing (BOP), probing pocket depth (PPD) and clinical attachment level (CAL) were recorded for all subjects at four sites per tooth except third molars. Results: All clinical periodontal and biochemical parameters were highest in uncontrolled T2DM with CP patients and all enzymes levels revealed highly significant differencesbetween all pairs of the study and control groups except AST enzyme level which demonstrated a non-significant difference between controlled T2 diabetics with CP and non-diabetics with CP. There were weak correlations between all clinical periodontal parameters and biochemical parameters except between PPDand ALT enzyme in non-diabetics with CP group and between CAL and AST enzyme in uncontrolled T2 diabetics with CP which demonstrated highly significant strong positive correlations. Conclusion: It was concluded that T2DM and poor glycemic control have negative impact on periodontal health status. Salivary enzymes were considered as good biochemical markers of periodontal tissue destruction and useful in diagnosis, monitoring and efficient management of periodontal diseases and T2DM. Key words: Enzymes, saliva, type 2 diabetes mellitus, periodontal diseases.
Mr. Talib Al-Rifai embarked on his political journey at an early stage, engaging in Islamic activism at the age of twenty-two in 1953. During this period, he established strong connections with numerous figures and members affiliated with Sunni Islamic parties, which expanded his sphere of influence and social network. Despite his close interaction with these organizations, he was careful to maintain his independence and avoided formal affiliation with any specific party or organized movement. Al-Rifai distinguished himself by his ability to engage with diverse Islamic currents while maintaining his intellectual independence, which provided him with significant flexibility and enabled him to cultivate a broad network of relationshi
... Show MoreThis paper presents the implementation of a complex fractional order proportional integral derivative (CPID) and a real fractional order PID (RPID) controllers. The analysis and design of both controllers were carried out in a previous work done by the author, where the design specifications were classified into easy (case 1) and hard (case 2) design specifications. The main contribution of this paper is combining CRONE approximation and linear phase CRONE approximation to implement the CPID controller. The designed controllers-RPID and CPID-are implemented to control flowing water with low pressure circuit, which is a first order plus dead time system. Simulation results demonstrate that while the implemented RPID controller fails to stabi
... Show MorePots experiment was conducted at the greenhouse of botanical garden belong to Department of Biology, College of Education for Pure Science, Ibn-AL-Haithum, University of Baghdad, for growth season 2018-2019. The aim of the experiment was to study the effects of foliar application of a-tocopherol concentrations (0, 50, 100, 150, 200 mg.L-1) on growth parameters and the activity of some antioxidant enzymes of wheat plant irrigated with sodium chloride concentrations (0, 75, 150, 225) mM.L-1. Salinity reduced plant growth parameter, plant height, flag leaf area, flag leaf chlorophyll content and increased the activity of antioxidant enzymes, superoxide dismutase and peroxidase. Plant growth parameters were enhanced by foliar application of a-t
... Show MoreThis research deals with the attitude of oil press towards oil industry in the world and the extent of their concerns with the stages of oil industry relating to the abundance of oil and natural gas, as it is an international strategic and complementary industry. The researcher uses the survey method for content analysis of the initial article and the press news for two: years (2011-2012). The results if the study are as follows
1- Oil press is concerned with developing and the stages of the Arabic oil industry in the interest of OAPEC in the first place.
2- It is concerned with exploring, extracting, and marketing oil in the first place, then with refining operations in refineries and petrochemical plants in the second place, an
Authors in this work design efficient neural networks, which are based on the modified Levenberg - Marquardt (LM) training algorithms to solve non-linear fourth - order three -dimensional partial differential equations in the two kinds in the periodic and in the non-periodic - Periodic. Software reliability growth models are essential tools for monitoring and evaluating the evolution of software reliability. Software defect detection events that occur during testing and operation are often treated as counting processes in many current models. However, when working with large software systems, the error detection process should be viewed as a random process with a continuous state space, since the number of faults found during testin
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