Neutrophil gelatinase-associated lipocalin

被引:52
作者
Haase, Michael [1 ,2 ]
Bellomo, Rinaldo [3 ]
Haase-Fielitz, Anja [1 ]
机构
[1] Charite Univ Med Berlin, Dept Nephrol & Intens Care, Berlin, Germany
[2] Otto VonGuericke Univ Magdegurg, Dept Nephrol & Hypertens & Endocrinol & Metab Dis, Magdeburg, Germany
[3] Austin Hlth, Dept Intens Care, Melbourne, Vic, Australia
关键词
acute kidney failure; acute kidney injury; acute renal failure; cardiac surgery; critically ill; neutrophil gelatinase-associated lipocalin; sepsis; ACUTE KIDNEY INJURY; ACUTE-RENAL-FAILURE; EARLY URINARY BIOMARKER; CARDIAC-SURGERY; EPITHELIAL-CELLS; NGAL; EXPRESSION; INCREASES; PREDICT; INFLAMMATION;
D O I
10.1097/MCC.0b013e328340063b
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Purpose of review Acute kidney injury (AKI) is a major clinical problem in hospitalized patients. Effective treatment and early diagnosis of this syndrome are not currently available. This review focuses on recent studies examining the biological characteristics and the diagnostic and prognostic value of a novel biomarker - neutrophil gelatinase-associated lipocalin (NGAL) - in the two major patient populations at risk for AKI. Recent findings NGAL is one of the most intensively investigated novel renal biomarkers with promising data from animal experiments and clinical studies comprising more than 3500 cardiac surgery or critically ill patients. NGAL was discovered using unbiased transcriptomic approaches and was identified as the gene with the earliest and highest rise of mRNA and protein concentration in renal tissue, urine and plasma following various renal insults. Within minutes to a few hours after a renal insult, NGAL is induced in and released from the injured distal nephron. The average sensitivity and specificity of NGAL - measured 1-3 days prior to current AKI consensus diagnosis - was 76 and 77% respectively for cardiac surgery patients and 73 and 80% respectively for patients admitted to the intensive care unit. Summary NGAL appears to fulfill many characteristics of an appropriate 'real-time' biomarker for AKI detection.
引用
收藏
页码:526 / 532
页数:7
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