👤 Marcin Kondraciuk

Preclinical atherosclerosis and prediabetes are key targets of preventive medicine as their prevalence rises. Therefore, it is crucial to identify early processes and limit confounders such as lipid-lowering or antidiabetic therapy and advanced atherosclerosis. Proteomics enables the identification of biomarkers and molecular pathways related to atherogenesis in prediabetes. To investigate the relationship between prediabetes and preclinical atherosclerosis in apparently healthy individuals using a comprehensive proteomic approach. This cross-sectional, population-based study included 389 participants (mean age 49 ± 10 years; 47% males) from the Białystok PLUS cohort in Poland. Individuals with known diabetes, major cardiovascular, inflammatory, or malignant diseases, or those receiving steroidal or lipid-lowering therapy were excluded. Carotid ultrasound was used to assess preclinical atherosclerosis, and prediabetes was defined as impaired fasting glucose, impaired glucose tolerance, or HbA1c 5.7–6.4%. Proteomic profiling was performed using the Olink® Reveal platform, enabling deep profiling of 1050 proteins with the Proximity Extension Assay and next-generation sequencing readout, yielding log2-scaled NPX (Normalized Protein eXpression) values. In preliminary analyses, we identified proteins associated with prediabetes and then linked them to early atherosclerotic lesions. A block-sPLS-DA model integrating clinical and proteomic data revealed clear separation between participants with and without prediabetes. The clinical block comprised eight variables reflecting cardiometabolic status, whereas the proteomic block retained 45 proteins across two components. The heatmap shows pairwise Pearson correlations between selected serum proteins and clinical variables (Fig. 1). Vascular and age measures cluster together and share correlation patterns distinct from those of BMI and glycaemic parameters. A protein module including the ectodysplasin A2 receptor (EDA2R) and leiomodin 1 (LMOD1) correlates positively with age and vascular parameters, and inversely with GFR and HDL-C. Multivariable linear regression analyses were performed with selected vascular parameters as dependent variables and clinical covariates, together with proteins identified in Component 2, which are weakly related to clinical parameters and thus may represent novel biomarkers associated with prediabetes (Fig. 2). Expression of EDA2R (B = 0.05; An integrative block-sPLS-DA approach separated individuals with prediabetes from those without and revealed a proteomic signature independent of clinical covariates. Within this signature, the expression of LMOD1, EDA2R, and C16orf89 showed robust associations with atherosclerosis-related vascular traits. Enrichment analyses highlighted proteins involved in neuronal processes as candidate pathways linking early glucose disturbances with preclinical atherosclerosis. The online version contains supplementary material available at 10.1186/s12933-026-03128-w. Show less

Psoriasis, vitiligo and lichen planus (LP) are autoimmune skin diseases associated with metabolic syndrome. Angiopoietin-like 4 (ANGPTL4) is a member of angiopoietin-like proteins, which play an important role in lipid metabolism, and its serum concentration has been proposed as a biomarker of cardiometabolic complications, especially coronary artery disease (CAD). The study involved 56 patients with abovementioned dermatoses and 29 sex- and age-matched volunteers without dermatoses. ANGPTL4 serum concentration was measured by ELISA. ANGPTL4 concentration was statistically significantly higher in patients with LP compared to the control group (p < 0.01); moreover, it was significantly higher than in patients with psoriasis and vitiligo (p < 0.001, p < 0.01, respectively). There was no statistically significant difference in ANGPTL4 concentration between patients with psoriasis or vitiligo and controls. There was no correlation between ANGPTL4 concentration and age or BMI in all study groups. There was a positive correlation between ANGPTL4 concentration and fasting glucose (R = 0.43) and AST activity (R = 0.39) in psoriatic patients and ALT activity in patients with vitiligo (R = 0.44). ANGPTL4 could be a potential marker of metabolic complications in patients with LP, especially CAD. Perhaps patients with LP are more prone to CAD compared to the other two dermatoses, which requires further research. Show less