Principal component analysis of the oxidative stress, inflammation, and dyslipidemia influence in patients with different levels of glucoregulation

Objective: The aim of the study was to explore mutual relationship between oxidative stress, inflammation and metabolic biomarkers in subjects with prediabetes (PRE), newly diagnosed type 2 diabetes patients (NT2D) overt (T2D) using principal component analysis (PCA) as a thorough statistical approach.
 Patients Methods: Glycated hemoglobin, lipid parameters, (IL-6, CRP fibrinogen) stress markers [pro-oxidants (AOPP, PAB, TOS) antioxidants (PON1, tSHG, TAS)] were measured. PCA applied factors most strongly influencing glucoregulation.
 Results: A total 278 enrolled: 37 PRE, 42 NT2D 99 T2D, who compared 100 healthy control group (CG). emphasized 4 different explaining 49% variance tested parameters: Oxidative stress-Dyslipidemia related factor (with positive loading TG negative HDL-c TAS), Dyslipidemia (i.e., cholesterol LDL-c, both loading), Anthropometric waist hip circumference, loading) stress-Inflammation fibrinogen, CRP, all loading). Out these factors, only – showed significant predictive capability towards poor glucoregulation. An increase this by one unit 1.6 times higher probability for Conclusion: Redox disbalance (determined lower TAS tSHG), addition associated