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Association of peripheral blood neutrophil gelatinase-associated lipocalin levels with bone marrow neutrophil gelatinase-associated lipocalin levels and neutrophil count in hematologic malignancy

Authors
Cho, Chi-HyunYoon, JungKim, Deok-SuKim, Shin-JongSung, Hwa JungLee, Se Ryeon
Issue Date
7월-2019
Publisher
WILEY
Keywords
bone marrow; hematologic; malignancy; neutrophil; NGAL; peripheral blood
Citation
JOURNAL OF CLINICAL LABORATORY ANALYSIS, v.33, no.6
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF CLINICAL LABORATORY ANALYSIS
Volume
33
Number
6
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/64593
DOI
10.1002/jcla.22920
ISSN
0887-8013
Abstract
Background Although neutrophil gelatinase-associated lipocalin (NGAL) is a biomarker for acute kidney injury, recently, high NGAL levels have been reported in hematologic malignancies. Given the mechanism underlying NGAL synthesis and secretion in neutrophilic series, it is speculated that NGAL levels are higher in bone marrow (BM) than in peripheral blood (PB). Additionally, PB NGAL levels are thought to be associated with neutrophilic parameters. We aimed to test both hypotheses in hematologic malignancies. Methods Paired BM and PB samples were collected from 41 patients undergoing BM examination for hematologic malignancies. NGAL levels were measured using immunoassays. Data on hematologic parameters were collected from medical records. Single and multiple regression analyses were performed to analyze the relationship. Results PB and BM NGAL (n = 41) levels were significantly different (163.0 +/- 258.3 and 413.1 +/- 616.2 ng/mL [mean +/- standard deviation], respectively; P < 0.05). Simple regression analysis and multicollinearity assessment showed that BM NGAL levels, BM neutrophil%, and neutrophil count were significant predictors of PB NGAL. Two multiple regression models were developed (model 1, PB NGAL = 21.467* neutrophil count - 0.785*BM neutrophil%; model 2, PB NGAL = 21.202*neutrophil count- 0.915*BM neutrophil% +0.10*BM NGAL). Akaike's information criterion and adjusted R-2 values showed that model 1 had higher predictive accuracy for PB NGAL. In both models, neutrophil count was the only significant predictor. Conclusion BM NGAL was significantly higher than PB NGAL in hematologic malignancy. In addition, PB NGAL could be expressed as a multiple regression model including neutrophil count and BM neutrophil%, being significantly influenced by neutrophil count.
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