Objective: Detection the level of YKL-40 biochemical marker and vitamin D level in sera of Iraqi uterine cancer
females' patients.
Methodology: This study included 90 female volunteers, 30 of them were healthy volunteers who were
considered as a control group, while sixty serum samples were collected from women patients suffering from
uterine tumors (30 malignant and 30 fibroid benign tumors), benign cases were considered as a disease
control group for malignant tumors. The average age of those females was 30-75 years, which matched the
control group. All the samples were collected from Azady hospital in Kirkuk and the gynecologic department at
Medical City in Baghdad during October /2012 to May /2013. All the serum samples were undergone
biochemical estimation for the levels of YKL-40, and 25 (OH) vitamin D using ELISA technique, and BMI data
were collected.
Results: Estimation of YKL-40 levels showed that there were 28 No. (93.33%) of EC patients had high level of
YKL-40, while 26 no. (86.67%) of fibroid (benign tumor) patients had low level, and 15(50.00 %) of healthy
control had low. There was a significant difference found in YKL-40 level in EC patients when compared with
the fibroid (benign tumor) patients and healthy control (Pvalue= 0.0001), (Pvalue= 0.0001) respectively. The
highest percent of women with EC and the women with fibroid (benign tumor) had deficiency of 25 (OH)
vitamin D levels (66.67%). While the highest percent of healthy control had sufficiency of 25(OH) vitamin D
level (56.67%). statistically there was significant difference among study groups (p=0.0001). Were as no
significant difference between EC patients and fibroid (benign tumor) patients (P-value =0.822).
Recommendations: Comparing between the ykl-40 marker and other tumor marker diagnostic levels in the
detection of uterine tumors. For further studies, we recommended study the diagnostic levels of ykl-40
marker and its correlation with other body tumors. It is recommended to do estimation of vitamin D levels
with more advanced method and correlation of its with disease.
In today's world, the science of bioinformatics is developing rapidly, especially with regard to the analysis and study of biological networks. Scientists have used various nature-inspired algorithms to find protein complexes in protein-protein interaction (PPI) networks. These networks help scientists guess the molecular function of unknown proteins and show how cells work regularly. It is very common in PPI networks for a protein to participate in multiple functions and belong to many complexes, and as a result, complexes may overlap in the PPI networks. However, developing an efficient and reliable method to address the problem of detecting overlapping protein complexes remains a challenge since it is considered a complex and har
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KE Sharquie, AA Noaimi, SY Mohsin, 2011 - Cited by 4
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Abstract
The research’s goal lies in demonstrating the impact of the Federal Financial Supervision Endowment through the process of auditing the performance of the entities subject to its audit as to improve the performance of these entities, especially if the performance audit method is one of the newly applied methods that are compatible with the standards issued by the International Organization of Financial Supervision and Accounting Institutions which is the method of auditing performance according to the performance evaluation guide for programs and policies issued by the Federal Office of Financial Supervision.
T
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vitrofertilization/intracytoplasmic sperm injection-embryo transfer (IVF/ICSI-ET) for infertile patients. Insulin like growth factor 1 (IGF1), Dehydroepiandrosterone sulfate (DHEAS) and Total Testosterone (TT) may have a role on follicle growth, oocyte quality, embryo quality and subsequent pregnancy in patients undergoing IVF cycles. To explore the possibility of using DHEAS, TT and IGF1 as predictive indicator for successful pregnancy in patients undergoing (IVF/ICSI-ET). A prospective study was performed enrolling (12) non pregnant control group,(7) pregnant control group,(18) non-pregnant PCOS group and (12) pregnant PCOS group. The collection of blood and follicular fluid (FF) samples was done at the day of oocyte aspiration. Electroch
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