4.5 Article

Serum NLRP3: A biomarker for identifying high-risk septic patients

Journal

CYTOKINE
Volume 149, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cyto.2021.155725

Keywords

Sepsis; Septic shock; NLRP3; Biomarker

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This study found that serum NLRP3 levels can serve as a potential inflammatory biomarker to predict the status of septic patients, particularly those with septic shock. Higher NLRP3 levels were associated with increased mortality rate.
Background: Over-activation of the NLRP3 inflammasome can lead to sepsis. NLRP3 is an essential protein in the classical pathway of pyroptosis. This study assessed the use of serum NLRP3 level as a potential inflammatory biomarker in septic patients. Methods: Patients were categorized into five groups: healthy controls (n = 30), ICU controls (n = 22), infection (n = 19), septic non-shock (n = 33), and septic shock (n = 83). Serum NLRP3 levels were measured by enzymelinked immunosorbent assay for all patients upon enrollment. Clinical parameters and laboratory test data (APACHE II, SOFA, and lactate) were also assessed. Moreover, the ability of serum NLRP3 levels to predict sepsis was determined by the area under the curve (AUC) analysis. Results: The NLRP3 levels in the septic shock group was significantly higher (431.89, 386.61-460.21 pg/mL) than that in the healthy control group (23.24, 9.38-49.73 pg/mL), ICU control group (74.82, 62.71-85.93 pg/mL), infection group (114.34, 99.21-122.56 pg/mL), and septic non-shock group (136.99, 128.80-146.98 pg/mL; P< 0.001 for all comparisons). Additionally, the AUC indicated that the ability of serum NLRP3 levels to predict sepsis and septic shock incidences was not lower than that of the SOFA score. Patients with higher NLRP3 serum levels (>147.72 pg/mL) had significantly increased 30-day mortality rate. Conclusions: NLRP3 is useful for the early identification of high-risk septic patients, particularly septic shock patients. Moreover, elevated NRLP3 levels could result in poor septic prediction outcomes.

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