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
相关论文
共 50 条
  • [21] Early Ultrastructural Changes in Biopsies From Patients With Symptomatic CKD of Uncertain Etiology
    Daniel, Christoph
    Enghard, Philipp
    Ratnatunga, Neelakanthi
    Wijetunge, Sulochana
    Wazil, A. W. M.
    Zwiener, Christian
    Barth, Johannes A. C.
    Chandrajith, Rohana
    Klewer, Monika
    Eckhardt, Kai-Uwe
    Amann, Kerstin
    Freund, Paul
    Premarathne, Shakila
    Pushpakumara, W. D. R. N.
    Nanayakkara, Nishantha
    KIDNEY INTERNATIONAL REPORTS, 2023, 8 (03): : 642 - 657
  • [22] Organic Pollutant Exposure and CKD: A Chronic Renal Insufficiency Cohort Pilot Study
    Charytan, David M.
    Wu, Wenbo
    Liu, Mengling
    Li, Zhong-Min
    Kannan, Kurunthachalam
    Trasande, Leonardo
    Pal, Vineet Kumar
    Lee, Sunmi
    Trachtman, Howard
    KIDNEY MEDICINE, 2024, 6 (03)
  • [23] Urinary Polyamines: A Pilot Study on Their Roles as Prostate Cancer Detection Biomarkers
    Tsoi, Tik-Hung
    Chan, Chi-Fai
    Chan, Wai-Lun
    Chiu, Ka-Fung
    Wong, Wing-Tak
    Ng, Chi-Fai
    Wong, Ka-Leung
    PLOS ONE, 2016, 11 (09):
  • [24] URINARY PEPTIDE BIOMARKERS ASSOCIATED WITH IMPROVEMENT IN eGFR IN CKD PATIENTS
    Markoska, Katerina
    Pejchinovski, Martin
    Pontillo, Claudia
    Zuerbig, Petra
    Dakna, Mohammed
    Masin-Spasovska, Jelka
    Stojceva-Taneva, Olivera
    Mischak, Harald
    Spasovski, Goce
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2016, 31 : 38 - 38
  • [25] A Current Review of the Etiology, Clinical Features, and Diagnosis of Urinary Tract Infection in Renal Transplant Patients
    Suarez Fernandez, Maria Luisa
    Ridao Cano, Natalia
    Alvarez Santamarta, Lucia
    Gago Fraile, Maria
    Blake, Olivia
    Diaz Corte, Carmen
    DIAGNOSTICS, 2021, 11 (08)
  • [26] BEDSIDE DIAGNOSIS OF URINARY-INFECTION - PILOT-STUDY
    KUNTZ, DH
    WESTERN JOURNAL OF MEDICINE, 1978, 129 (02): : 94 - 96
  • [27] Urinary biomarkers for renal tract malformations
    Magalhaes, Pedro
    Schanstra, Joost P.
    Carrick, Emma
    Mischak, Harald
    Zuerbig, Petra
    EXPERT REVIEW OF PROTEOMICS, 2016, 13 (12) : 1121 - 1129
  • [28] URINARY BIOMARKERS FOR THE DETECTION OF RENAL INJURY
    Rosner, Mitchell H.
    ADVANCES IN CLINICAL CHEMISTRY, VOL 49, 2009, 49 : 73 - 97
  • [29] Urinary biomarkers of renal transplant outcome
    Ho, Julie
    Rush, David N.
    Nickerson, Peter W.
    CURRENT OPINION IN ORGAN TRANSPLANTATION, 2015, 20 (04) : 476 - 481
  • [30] Urinary biomarkers as indicators of renal disease
    Wedeen, RP
    Udasin, I
    Fiedler, N
    D'Haese, P
    De Broe, M
    Gelpi, E
    Jones, KW
    Gochfeld, M
    RENAL FAILURE, 1999, 21 (3-4) : 241 - 249