Background: diabetes is a metabolic disease characterized by hyperglycemia that results in deficiency or absence of insulin production. The dental caries and gingivitis/periodontitis are widespread chronic diseases in diabetes. The aim of the present study was determined the salivary matrix metalloproteinase (MMP-8), Secretory Leukocyte Peptidase Inhibitor (SLPI) and oral health status among uncontrolled diabetic group in comparison with healthy control group. Materials and Methods: The total sample composed of 90 adults aged (18-35) years. Divided into 60 uncontrolled diabetic patients (HbA1c >7%) and 30 healthy control group. Unstimulated saliva was collected from each subject with type-I DM, BMI, duration of diabetes, HbA1c%, DMFT, gingival index (GI) and periodontal disease index were recorded during clinical visit. Level of salivary MMP-8 and SLPI was measured by using ELISA immunoassay analysis. Results: The DMFT was highly significant higher among type-I DM group than control group (p<0.001),GI and pocket depthwas significant difference (p=0.002, p<0.001 respectively) between two groups except the attachment loss with no significant difference (p=0.06). The Salivary MMP-8 was elevated, whereas SLPI was lowered in individuals with type I diabetes mellitus in comparison to the healthy controls, but statistically was non-significant. Analysis among uncontrolled diabetic patients revealed that the HbA1c% correlate positively significant with salivary MMP-8 (r=0.321, p=0.012), SLPI (r=0.276, P=0.033) andattachment loss (r=0.353, p=0.006); however the correlation between MMP-8 & SLPIwas a significant in negative direction (r=-0.395, p=0.002). Conclusion:The DMFT, pocket depth and gingival index was higher in uncontrolled diabetes group. HbA1c% was positively correlation withMMP-8, SLPI and attachment loss in uncontrolled diabetic group. Salivary SLPI associated inversely with significant correlation with salivary MMP-8.
The present study was conducted to estimate the antimicrobial activity and the potential biological control of the killer toxin produced by
This study is to evaluate plasma levels of several cytokines in preeclamptic pregnancies compared to those of healthy pregnancies. Ninety pregnant women with preeclampsia (37 mild & 53 severe) and thirty healthy pregnant women were enrolled in the study. Blood samples were taken and plasma levels of IL-8, IL-10, and IFN-? were measured by enzyme-linked immunosorbent assay (ELISA). Preeclamptic women and their severe cases but not mild cases had significantly (P<0.05) increased levels of plasma IL-8, and IFN-? as compared with healthy pregnancies. By contrast, plasma levels of IL-10 was significantly (P<0.05) increased in healthy pregnant women as compared to all groups of preeclampsia. Preeclampsia is associated with an imbalance betwe
... Show MoreBoth traditional and novel techniques were employed in this work for magnetic shielding evaluation to shed new light on the magnetic and aromaticity properties of benzene and 12 [n]paracyclophanes with n = 3–14. Density functional theory (DFT) with the B3LYP functional and all-electron Jorge-ATZP and x2c-TZVPPall-s basis sets was utilized for geometry optimization and magnetic shielding calculations, respectively. Additionally, the 6-311+G(d,p) basis set was incorporated for the purpose of comparing the magnetic shielding results. In addition to traditional evaluations such as NICS/NICSzz-Scan, and 2D-3D σiso(r)/σzz(r) maps, two new techniques were implemented: bendable grids (BGs) and cylindrical grids (CGs) of ghost atoms (Bqs). BGs a
... Show MoreOne of the most significant elements influencing weather, climate, and the environment is vegetation cover. Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI) over the years 2019–2022 were estimated based on four Landsat 8 TIRS’s images covering Duhok City. Using the radiative transfer model, the city's land surface temperature (LST) during the next four years was calculated. The aim of this study is to compute the temperature at the land's surface (LST) from the years 2019-2022 and understand the link, between LST, NDVI, and NDBI and the capability for mapping by LANDSAT-8 TIRS's. The findings revealed that the NDBI and the NDVI had the strongest correlation with the
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