Correlation between Serum IL-16,CCL27 and CCL27 and Severity of Multiple Sclerosis and its Predictive Value
Objective:To investigate the correlation between serum interleukin-16(IL-16),CC chemokine ligand 27(CCL27)and TNF-related apoptosis-inducing ligand(TRAIL)and the severity of multiple sclerosis and its predictive value,and to provide theoretical basis for the diagnosis of MS.Methods:A total of 72 patients with multiple sclerosis admitted to our hospital from January 2018 to Octo-ber 2022 were selected as the study objects.According to the severity of symptoms,they were divided into acute attack period(n=40)and remission period(n=32),and 65 healthy volunteers who underwent physical examination in our hospital during the same period were se-lected as the control group.Serum levels of IL-16,CCL27 and TRAIL were determined by enzyme-linked immunosorbent assay(ELISA).Spearman correlation was used to analyze the correlation between serum IL-16,CCL27 and TRAIL levels and the severity of multiple sclerosis,and receiver characteristic curve(ROC)was drawn to analyze the predictive value of serum IL-16,CCL27 and TRAIL levels on the severity of multiple sclerosis.Results:The levels of IL-16,CCL27 and TRAIL in the study group were higher than those in the control group(P<0.05).The levels of IL-16,CCL27 and TRAIL in patients with acute attack period were higher than those in remis-sion period(P<0.05).Spearman correlation analysis showed that serum IL-16,CCL27 and TRAIL levels were positively correlated with the severity of multiple sclerosis(r=0.436,0.461,0.447,P<0.05).ROC curve analysis showed that the area under the curve(AUC)of serum IL-16,CCL27 and TRAIL combined to predict the severity of multiple sclerosis was 0.939,which was significantly better than that evaluated by each indicator alone.Conclusion:Serum IL-16,CCL27 and TRAIL levels are closely related to the occurrence and develop-ment of multiple sclerosis.Early detection of serum IL-16,CCL27 and TRAIL levels has a certain predictive value for multiple sclerosis,and the combined prediction value is higher.
Multiple SclerosisIL-16CCL27TRAILSeverityCorrelationPredictive Value