The purpose of the study was to investigate gender features of abnormalities of blood serum lipid composition and their relationship with clinical and functional manifestations in patients with chronic kidney disease (CKD). The study covered patients...
Translational research : the journal of laboratory and clinical medicine
30670154
Implications of plasminogen activator inhibitor-1 (PAI-1) in colonic polyps remain elusive. A prospective study was conducted with 188 consecutive subjects who underwent colonoscopy at a tertiary referral center. Biochemical parameters, serum PAI-1 l...
AIM: To evaluate the association between high triglyceride/HDL-cholesterol (TG/HDL-C) ratio and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in normal-weight healthy adults.
AIM: To assess the association between elevated triglycerides/glucose index (TGI) and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in a sample of healthy adults.
Considering the pathologic importance of metabolic disturbances, advanced glycation end products (AGEs), and chronic inflammation in diabetes mellitus and ameliorating potentials of l-carnosine in hampering these detritions and because these effects ...
The effect of chronic metabolic acidosis (MA) on cardiovascular disease (CVD) in the setting of chronic kidney disease (CKD) is largely unknown. Therefore, we aimed to study this relationship in nondialysis CKD patients.This cross-sectional, single-c...
In this study, a series of functional oils rich in feruloylated structured lipids (FSLs) was prepared by enzymatic transesterification of ethyl ferulate (EF) with triglycerides under ultrasound pretreatment. A conversion of more than 92.7% and contro...
Combinatorial chemistry & high throughput screening
30569864
AIMS AND OBJECTIVES: Solid Lipid Nanoparticles (SLNs) are pharmaceutical delivery systems that have advantages such as controlled drug release, long-term stability etc. Particle Size (PS) is one of the important criteria of SLNs. These factors affect...
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases. Machine learning techniques were introduced to evaluate the optimal predictive clinical model of NAFLD.
BACKGROUND: Random forest (RF) is a machine-learning method that generally works well with high-dimensional problems and allows for nonlinear relationships between predictors; however, the presence of correlated predictors has been shown to impact it...