Search In this Thesis
   Search In this Thesis  
العنوان
Serum selenoprotein P level and insulin resistance in children and adolescents with type 1 diabetes /
الناشر
Mohammed Selim Abdelkader Selim ,
المؤلف
Mohammed Selim Abdelkader Selim
هيئة الاعداد
باحث / Mohammed Selim Abdelkader Selim
مشرف / Hend Mehawed Abdellatif Soliman
مشرف / Balsam Sherif Fahmy
مناقش / Samah Ahmed Hassanein
تاريخ النشر
2021
عدد الصفحات
152 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
طب الأطفال ، الفترة المحيطة بالولادة وصحة الطفل
تاريخ الإجازة
1/1/2021
مكان الإجازة
جامعة القاهرة - كلية الطب - Pediatrics
الفهرس
Only 14 pages are availabe for public view

from 205

from 205

Abstract

Background: Diabetes Mellitus (DM) is a major public health problem worldwide.Type 1 diabetes (T1D) is autoimmune disease characterized by absolute insulin deficiency. Although impaired insulin action called insulin resistance (IR) is the pathogenic basis of type 2 diabetes (T2D), it can also affect patients with T1D. Selenoprotein P (SeP) is a glycoprotein that expressed in hepatocytes and the SeP level in circulation has been associated with glucose metabolism in human beings. So, the aim was to evaluate the serum selenoprotein P and its relation to insulin resistance in patients with type 1 diabetes. Methodology: We performed a case {u2013}control study included 45 children and adolescent cases with type 1 DM and 45 healthy children and adolescent. Study children and adolescents were subjected to: Full history taking, Examination (Anthropometric measures waist circumference and hip circumference and waist-hip ratio) and Blood pressure (BP) was measured. Investigations: FBS and 2hPP, HbA1c, lipid profile and Serum selenoprotein P will be assessed by ELISA. Results: as for normal level of selenoprotein p in plasma as children with insulin resistance is lower than children with insulin sensitivity while in low and high level of selenoprotein p in plasma, children with insulin resistance is higher than children with insulin sensitivity so there were statically significant differences. By univariate logistic regression analysis to determine the independent predictors (lipid profile (TC, TG, HDL, Non HDL and LDL), HbA1c and Se P) of insulin resistance assessed by EGDR, it was found that there were a statically significant variation