Clinical relevance of midkine as a biomarker predicting atherosclerotic risk factors in individuals with type-2 diabetes mellitus: a cross-sectional study

Objective Midkine (MK) is a member of a small protein family that includes pleiotrophin. MK levels are elevated in obese patients and have a pro-arthrogenic effect through various pathophysiological processes including vascular inflammation and atherogenesis. This study aimed to investigate the association between serum MK levels and several atherosclerotic risk factors in patients with type 2 diabetes mellitus (T2DM). Methodology Ninety subjects were enrolled in this study, comprising 60 T2DM patients and 30 age-matched healthy subjects (HS). The patients were categorized into two groups based on dyslipidemia: group 1 consisted of 30 patients with dyslipidemia, while group 2 included 30 patients without dyslipidemia. Laboratory tests were conducted using routine assays at the National Diabetes Center. MK levels were analyzed using enzyme-linked immunosorbent assay (ELISA). Results MK levels were significantly higher in patients with dyslipidemia compared to those without dyslipidemia and HS ( P ≤ 0.0001). A significant negative correlation was observed between MK levels and the atherogenic index of plasma (AIP), Castelli’s risk index-1 (CRI-I), and Castelli’s risk index-2 (CRI-II) ( r = − 0.489, p = 0.005; r = − 0.465, p = 0.008; r = − 0.421, p = 0.018, respectively) in patients with dyslipidemia. Furthermore, a significant positive correlation was found between MK levels and HDL-C ( r = 0.524, p = 0.002) in patients without dyslipidemia. MK, AIP, and CRI-I were identified as predictors of atherosclerosis in DM patients, with MK indicating very good discriminate power (AUC = 0.805) in identifying T2DM patients with dyslipidemia at a cut-off value of ≤ 4.457 ng/ml. Conclusion These findings suggest that MK could be considered a predictive biomarker for dyslipidemia associated with DM. MK levels correlate significantly with atherogenic risk factors, indicating its potential as a sensitive risk predictor for atherosclerosis in patients with T2DM.