Objective To investigate the relationship between serum eosinophilic chemokine(CCL11),soluble in-terleukin-2 receptor(sIL-2R)and microvascular injury in patients with diabetic retinopathy(DR).Methods A total of 122 patients with type 2 diabetes treated from July 2021 to July 2022 were selected as the research group.According to the results of fundus photography and fundus microscopy,they were divided into two groups:non-retinopathy subgroup(non-lesion sub-group)and retinopathy subgroup(lesion subgroup).Another 46 healthy volunteers who presented to our hospital for physical examination during the same period were selected as the control group.Serum CCL11 and sIL-2R levels were detected by en-zyme-linked immunosorbent assay(ELISA).The predictive value of serum CCL11 and sIL-2R on microvascular injury in DR patients was evaluated by receiver operating characteristic(ROC)curve,and the influencing factors of microvascular injury in DR patients were investigated by multivariate Logistic regression analysis.Results The levels of serum sIL-2R and CCL11 in the research group were higher than those in the control group(P<0.01).The levels of serum sIL-2R and CCL11 in the le-sion subgroup were higher than those in the non-lesion subgroup(P<0.01).The area under the curve(AUC)of serum sIL-2R and CCL11 for predicting microvascular injury in DR patients was 0.829 and 0.765,respectively,and the AUC of the combined prediction was 0.903.sIL-2R≥345.84 U/mL and CCL11≥67.98 pg/mL were the influential factors of microvas-cular injury in DR patients(P<0.01).Conclusion The abnormally high expression of serum sIL-2R and CCL11 in DR pa-tients may be closely related to retinopathy in DR patients,which can be used as biological indicators to evaluate the microvas-cular injury in DR patients,and the combined prediction efficiency of the two is higher.
Type 2 diabetes/Retinopathy/Microvascular injury/Eosinophilic chemotactic factor/Soluble interleu-kin-2 receptor/Receiver operating characteristic curve/Area under the curve/Analysis of influencing factors