Toll-like receptor 5 on monocyte as a biomarker of mortality risk in patients with sepsis
摘要
To evaluate the expression of Toll-like receptor 5 on monocyte at ICU admission as a potentially novel early screening biomarker to predict the mortality risk of sepsis.
MethodsPatients with sepsis (n = 107), ICU non-septic controls (n = 53) and healthy controls (n = 55) from May 2023 to December 2024 were enrolled. The expression of Toll-like receptor 5 on monocyte were detected by Flow cytometry within 4 h at ICU admission. The efficacy of Toll-like receptor 5 for predicting mortality risk of sepsis were analyzed by receiver operating characteristic curves. The Toll-like receptor 5 was categorized into higher and lower groups on the basis of the cutoff value, and Kaplan-Meier survival rates were analyzed to evaluate the relationship between Toll-like receptor 5 and the mortality risk of sepsis.
ResultsToll-like receptor 5 levels on monocyte at ICU admission in patients with sepsis were significantly higher than those in ICU non-septic patients and the healthy controls. The expression of Toll-like receptor 5 on monocyte in septic non-survivors were significantly higher than that in survivors. Moreover, the AUC of Toll-like receptor 5 (0.6983, P = 0.0006) for predicting mortality risk of sepsis were higher than PCT (0.5741, P = 0.2012) ,CRP (0.5820, P = 0.1582) and WBC (0.6381, P = 0.0172), but lower than APACHE II (0.7101, P = 0.0003) and SOFA score (0.7888, P < 0.0001). The AUC of Toll-like receptor 5 combined with SOFA score for estimating 28-day mortality in septic patients increased from 0.6983 to 0.8030 (P < 0.0001). Toll-like receptor 5, SOFA and APACHE II scores at ICU admission were found to be independent predictors of sepsis 28-day mortality. In addition, septic patients with higher Toll-like receptor 5 level (≥ 2.05) had poorer survival than those with lower levels (< 2.05) (P = 0.0002).
ConclusionThe expression of TLR5 on monocyte at ICU admission were valuable for predicting the mortality risk of sepsis. These findings can be used as a early screening biomarker to predict the mortality risk of sepsis.