Pilot Study of Renal Urinary Biomarkers for Diagnosis of CKD of Uncertain Etiology

被引:29
|
作者
Fernando, Buddhi N. T. W. [1 ]
Alli-Shaik, Asfa [2 ]
Hemage, Rusiru K. D. [1 ]
Badurdeen, Zeid [1 ]
Hettiarachchi, Thilini W. [1 ]
Abeysundara, Hemalika T. K. [3 ]
Abeysekara, Thilak D. J. [1 ]
Wazil, Abdul [4 ]
Rathnayake, Saman [5 ]
Gunaratne, Jayantha [2 ,6 ]
Nanayakkara, Nishantha [4 ]
机构
[1] Univ Peradeniya, Fac Med, Ctr Educ Res & Training Kidney Dis CERTKiD, Peradeniya, Sri Lanka
[2] Proteos, Inst Mol & Cell Biol, Singapore, Singapore
[3] Univ Peradeniya, Fac Sci, Dept Stat & Comp Sci, Peradeniya, Sri Lanka
[4] Teaching Hosp, Transplant & Dialysis Unit, Kandy 20000, Sri Lanka
[5] Teaching Hosp, Kandy, Sri Lanka
[6] Natl Univ Singapore, Yong Loo Lin Sch Med, Singapore, Singapore
来源
KIDNEY INTERNATIONAL REPORTS | 2019年 / 4卷 / 10期
关键词
chronic kidney disease of uncertain etiology; early diagnosis; urinary biomarkers; CHRONIC KIDNEY-DISEASE;
D O I
10.1016/j.ekir.2019.07.009
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Chronic kidney disease of uncertain etiology (CKDu), an emerging chronic kidney disease (CKD) subtype, contributes to significant morbidity and mortality in certain tropical countries. Although several indicators of CKDu have been previously suggested, sensitive and specific tests to detect early disease or predict disease progression are currently unavailable. This study focused on evaluating 8 renal urinary markers, namely neutrophil gelatinase-associated lipocalin (NGAL), Kidney Injury Molecule-1 (KIM1), cystatin C (CST3), beta 2 microglobulin (B2M), osteopontin (OPN), alpha 1 microglobulin (A1M), tissue inhibitor of metalloproteinase 1 (TIMP1), and retinol binding protein 4 (RBP4), with the hypothesis that these have distinct expression patterns in patients with CKDu. Methods: A cross-sectional study was conducted with 5 study groups comprising subjects from CKDu, endemic CKD, nonendemic CKD, and endemic healthy and nonendemic healthy controls. The urinary levels of the 8 selected renal biomarkers were quantified using multiplex biomarker assay, and the data were subjected to systematic analysis using logistic regression algorithm aiming to extract the best marker combination that could distinctly identify the disease groups noninvasively from the healthy controls. Results: A 3-marker signature panel comprising A1M, KIM1, and RBP4 was identified to represent the best minimum marker combination for differentiating all CKD categories, including CKDu, from healthy controls with an overall sensitivity of >= 0.867 and specificity >= 0.765. The marker combination comprising OPN, KIM1, and RBP4 showed high predictive performance for distinguishing patients with CKDu from patients with CKD with both sensitivity and specificity >= 0.93, which was superior to any existing noninvasive indicator. Conclusion: In all, our systematic evaluation of urinary markers previously linked to CKD, in general, allowed identification of exclusive marker panel combination for early diagnosis and confirmation of CKDu.
引用
收藏
页码:1401 / 1411
页数:11
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