ArticleJournal of medical biochemistry2023
Principal component analysis of the oxidative stress, inflammation, and dyslipidemia influence in patients with different levels of glucoregulation.
Article in Journal of medical biochemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 6 citations in OpenAlex.
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- Clustering adipokines, metabolic, oxidative stress, and inflammatory markers associated with cardiovascular disease risk in patients with metabolic syndrome.Diabetology & metabolic syndrome · 2026Article
- Gluten-Free White Quinoa Flour Exhibits Antioxidant and Anti-Inflammatory Activity.Molecules (Basel, Switzerland) · 2026Article
- Green Ethanolic Repercolation ofNutrients · 2026Article
- Traditional Chinese medicine acupoint pasting for preventing and treating gastrointestinal reactions in type II diabetes mellitus patients undergoing glucagon-like peptide-1 receptor agonist therapy: A clinical study.Journal of medical biochemistry · 2025Article
- New insights into the association between cardiometabolic index with metabolic profile, nutritional status, and inflammaging in older adults.Frontiers in aging · 2025Article
- Different doses of recombinant FSH and determining parameters of oxidative stress.Journal of medical biochemistry · 2024Article
- Review
- Oxidative stress and metabolic biomarkers in patients with Psoriasis.Journal of medical biochemistry · 2024Article
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6 authors at 3 institutions in 3 countries.
Funding
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Abstract
Background: The aim of the study was to explore the mutual relationship between oxidative stress, inflammation and metabolic biomarkers in subjects with prediabetes (PRE), newly diagnosed type 2 diabetes patients (NT2D) and overt type 2 diabetes (T2D) using principal component analysis (PCA) as a thorough statistical approach. Methods: Glycated hemoglobin, lipid parameters, inflammation (IL-6, CRP and fibrinogen) and oxidative stress markers pro-oxidants (AOPP, PAB, TOS) and antioxidants (PON1, tSHG, TAS) were measured. PCA was applied to explore the factors that the most strongly influenced glucoregulation. Results: A total of 278 subjects were (i.e., 37 PRE, 42 NT2D and 99 T2D) were compared with 100 healthy subjects as a control group (CG). PCA emphasized 4 different factors explaining 49% of the variance of the tested parameters: oxidative stress-dyslipidemia related factor (with positive loading of TG and tSHG, and with negative loading of HDL-c and TAS), dyslipidaemia related factor (i.e., total cholesterol and LDL-c, both with positive loading), Anthropometric related factor (i.e., waist and hip circumference, both with positive loading) and oxidative stressInflammation related factor (i.e., PAB, fibrinogen, and CRP all with positive loading). Out of these 4 factors, only oxidative stress - dyslipidaemia related factor showed a significant predictive capability towards poor glucoregulation. An increase in this factor by one unit showed a 1.6 times higher probability for poor glucoregulation. Conclusions: Redox imbalance (determined with lower TAS and higher tSHG), in addition to higher TG and lower HDLc was associated with poor glucoregulation.
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