Literature DB >> 19673171

Neutrophil gelatinase-associated lipocalin: a novel biomarker for the early diagnosis of acute kidney injury in the emergency department.

A Di Grande1, C Giuffrida, G Carpinteri, G Narbone, G Pirrone, A Di Mauro, S Calandra, P Noto, C Le Moli, B Alongi, F Nigro.   

Abstract

Acute kidney injury (AKI) is a common medical problem among critical patients. In current clinical practice, AKI is diagnosed by measuring serum creatinine concentration, which is an unreliable and delayed marker of the deterioration of kidney function. Its rise occurs when a significant amount of renal function has been lost. Many are the factors able to modify physiological levels, such as age, gender, ethnicity, dietary protein intake, muscle mass or metabolism, hydration status and drugs. Definitely, creatinine, as well as blood urea nitrogen (BUN) or urine markers of kidney injury (fractional excretion of sodium, urinary concentrating ability, casts), do not directly reflect cell injury, but rather the delayed functional consequences of the damage. Due to the lack of sensitive and specific biomarkers, the identification of early stages of AKI has been impossible but, recently, neutrophil gelatinase-associated lipocalin (NGAL) is emerging as a novel biomarker of AKI from several etiologies, such as cardiac surgery, contrast nephropathy, kidney transplantation and sepsis. This protein, produced in a number of human tissues and particularly in the distal nephron, has siderophore-chelating property and acts as an iron-trasporting shuttle. NGAL increases in both serum and urine 48 hours before the rise of creatinine, and shows a strong correlation with change in creatinine concentrations. An early diagnosis of AKI allows the early institution of therapeutic measures for the protection of renal function and improves the prognosis. This possibility is particularly important in the Emergency Department for the treatment of critical patients with potential nefrotoxic therapies. Use of NGAL as early marker of AKI in the Emergency Department is discussed.

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Year:  2009        PMID: 19673171

Source DB:  PubMed          Journal:  Eur Rev Med Pharmacol Sci        ISSN: 1128-3602            Impact factor:   3.507


  12 in total

1.  Neutrophil gelatinase-associated lipocalin is instrumental in the pathogenesis of antibody-mediated nephritis in mice.

Authors:  Rahul D Pawar; Milena Pitashny; Simona Gindea; Arlene Tan Tieng; Benjamin Levine; Beatrice Goilav; Sean R Campbell; Yumin Xia; Xiaoping Qing; David B Thomas; Leal Herlitz; Thorsten Berger; Tak W Mak; Chaim Putterman
Journal:  Arthritis Rheum       Date:  2012-05

Review 2.  Enabling innovative translational research in acute kidney injury.

Authors:  Abolfazl Zarjou; Paul W Sanders; Ravindra L Mehta; Anupam Agarwal
Journal:  Clin Transl Sci       Date:  2011-12-07       Impact factor: 4.689

Review 3.  Pathophysiology of heatstroke in dogs - revisited.

Authors:  Yaron Bruchim; Michal Horowitz; Itamar Aroch
Journal:  Temperature (Austin)       Date:  2017-10-09

Review 4.  Small lipid-binding proteins in regulating endothelial and vascular functions: focusing on adipocyte fatty acid binding protein and lipocalin-2.

Authors:  Yu Wang
Journal:  Br J Pharmacol       Date:  2012-02       Impact factor: 8.739

Review 5.  The multifaceted roles of neutrophil gelatinase associated lipocalin (NGAL) in inflammation and cancer.

Authors:  Subhankar Chakraborty; Sukhwinder Kaur; Sushovan Guha; Surinder K Batra
Journal:  Biochim Biophys Acta       Date:  2012-03-31

6.  Biomarkers of cardio-renal damage in chronic kidney disease: one size cannot fit all.

Authors:  Davide Bolignano; Giuseppe Coppolino
Journal:  Crit Care       Date:  2014-04-17       Impact factor: 9.097

7.  Hepatotoxicity and Drug/Chemical Interaction Toxicity of Nanoclay Particles in Mice.

Authors:  Katsuhiro Isoda; Ryutaro Nagata; Tomoya Hasegawa; Yuichiro Taira; Ikuko Taira; Yoshimi Shimizu; Kazuo Isama; Tetsuji Nishimura; Isao Ishida
Journal:  Nanoscale Res Lett       Date:  2017-03-16       Impact factor: 4.703

8.  Development of a risk stratification-based model for prediction of acute kidney injury in critically ill patients.

Authors:  Yu Chen; Fang Feng; Min Li; Xueni Chang; Baohua Wei; Chenming Dong
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

9.  Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury.

Authors:  Yu Gong; Feng Ding; Fen Zhang; Yong Gu
Journal:  J Investig Med       Date:  2019-10-01       Impact factor: 2.895

Review 10.  Acute kidney injury in neonates: from urine output to new biomarkers.

Authors:  Alexandre Braga Libório; Klébia Magalhães Pereira Castello Branco; Candice Torres de Melo Bezerra
Journal:  Biomed Res Int       Date:  2014-03-05       Impact factor: 3.411

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