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Applicability of Novel Urinary Biomarkers for the Assessment of Renal Injury in Selected Occupational Groups in Sri Lanka: A Comparative Study with Conventional Markers

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Publisher MDPI
Date 2022 May 14
PMID 35564662
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Abstract

Screening approaches with more robust biomarkers, are of the utmost importance in the characterization of renal injuries, particularly among communities with high burdens of chronic kidney disease of uncertain etiology (CKDu). The present study aimed to assess the utility of two emerging biomarkers: kidney injury molecule (KIM-1) and neutrophil gelatinase-associated lipocalin (NGAL) in predicting renal injury in different occupational groups in Sri Lanka. A cross-sectional study was conducted with six occupational groups ( = 188): fisherfolk (FF), paddy farmers (PF), sugarcane farmers (SF), factory workers (FW) and plantation workers (PW) to assess the predictive performance of KIM-1 and NGAL against a CKDu patient (PT) group ( = 40). The median KIM-1 levels of the study groups; FF, PF, SF, FW, PW and PT were 0.67, 0.59, 0.49, 1.62, 0.67 and 5.24 ng/mgCr, respectively, while the median NGAL levels were 1.16, 2.52, 1.42, 1.71, 1.06 and 22.41 ng/mgCr respectively. In ROC analysis to predict CKDu susceptibility, the area under the curve for KIM-1 ranged from 0.88 to 0.99 for the study groups, and in overall analysis, the sensitivity and specificity were 100% and 96%, respectively, for a cutoff value of 2.76 ng/mgCr. Similarly, for NGAL the range of AUC was 0.78-0.94, and a cutoff value of 3.12 ng/mgCr produced 88% sensitivity and 82% specificity. Compared with conventional markers, KIM-1 was the best biomarker for the characterization of renal injury in the participants of the occupational groups. With further validations, KIM-1 may be adopted as a prognostic marker to identify early renal injury and CKDu susceptibilities in community screening.

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References
1.
Orantes-Navarro C, Herrera-Valdes R, Almaguer-Lopez M, Brizuela-Diaz E, Reed N, Fuentes-de Morales E . Chronic Kidney Disease in Children and Adolescents in Salvadoran Farming Communities: NefroSalva Pediatric Study (2009-2011). MEDICC Rev. 2021; 18(1-2):15. DOI: 10.37757/MR2016.V18.N1-2.4. View

2.
Vaidya V, Ozer J, Dieterle F, Collings F, Ramirez V, Troth S . Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies. Nat Biotechnol. 2010; 28(5):478-85. PMC: 2885849. DOI: 10.1038/nbt.1623. View

3.
Inker L, Eneanya N, Coresh J, Tighiouart H, Wang D, Sang Y . New Creatinine- and Cystatin C-Based Equations to Estimate GFR without Race. N Engl J Med. 2021; 385(19):1737-1749. PMC: 8822996. DOI: 10.1056/NEJMoa2102953. View

4.
Sayanthooran S, Magana-Arachchi D, Gunerathne L, Abeysekera T, Sooriyapathirana S . Upregulation of Oxidative Stress Related Genes in a Chronic Kidney Disease Attributed to Specific Geographical Locations of Sri Lanka. Biomed Res Int. 2016; 2016:7546265. PMC: 5128695. DOI: 10.1155/2016/7546265. View

5.
Fernando B, Alli-Shaik A, Hemage R, Badurdeen Z, Hettiarachchi T, Abeysundara H . Pilot Study of Renal Urinary Biomarkers for Diagnosis of CKD of Uncertain Etiology. Kidney Int Rep. 2019; 4(10):1401-1411. PMC: 6829189. DOI: 10.1016/j.ekir.2019.07.009. View