آی اس آی پیپر

دانلود رایکان مقاله انگلیسی ISI با موضوع شاخص مبتنی بر پارامتر لیپیدی برای برآورد حساسیت انسولینی و شناسایی مقاومت انسولینی در یک جمعیت سالم

عنوان فارسی مقاله:

شاخص مبتنی بر پارامتر لیپیدی برای برآورد حساسیت انسولینی و شناسایی مقاومت انسولینی در یک جمعیت سالم

عنوان انگلیسی مقاله:

A lipid-parameter-based index for estimating insulin sensitivity and identifying insulin resistance in a healthy population

دانلود رایگان مقاله ISI با فرمت PDF:

مشاهده توضیحات کامل و خرید ترجمه فارسی با فرمت ورد تایپ شده:

بخشی از مقاله انگلیسی :

2. Methods

A population of 70 subjects from the EGIR-RISC study cohort [6], corresponding to all of the subjects tested at the Human Nutrition Research Centre of Rhône-Alpes, was selected for this study. To be included in the study, subjects had to have a normal medical history, be clinically healthy, have a fasting plasma glucose less than 7.0 mmol/L (126 mg/dL), have a twohour plasma glucose less than 11.1 mmol/L (200 mg/dL), and undergo a physical examination and routine clinical laboratory tests together with a hyperinsulinaemic euglycaemic glucose clamp. All participants were Caucasian and non diabetic, according to criteria of both the American Diabetes Association [7] and the World Health Organization [8]. The experimental protocol was approved by the ethics committee of the hospices civils de Lyon and performed according to the requirements of French law (Huriet law).In vivo insulin sensitivity was assessed using the hyperinsulinaemic euglycaemic glucose clamp technique as previously described [9]. Briefly, four days before the clamp, the subjects were instructed to avoid exercise; then, after an overnight fast, an intravenous cannula was inserted into the cubital vein for infusing insulin and glucose (20%). Insulin (Actrapid) was infused at 40 mU m−2 min−1 to achieve hyperinsulinaemia. Blood samples were taken every 10 minutes for immediate glucose measurement, using a Roche Diagnostic Glucotrend 2 glucose analyzer. A variable rate of glucose infusion was given for 120 minutes and adjusted according to a negative feedback algorithm. Blood glucose levels were maintained at 4.5 mmol/L.