Environmental exposure to arsenic and chromium in children is associated with kidney injury molecule-1

Abstract

Environmental hazards from natural or anthropological sources are widespread, especially in the north-central region of Mexico. Children represent a susceptible population due to their unique routes of exposure and special vulnerabilities. In this study we evaluated the association of exposure to environmental kidney toxicants with kidney injury biomarkers in children living in San Luis Potosi (SLP), Mexico. A cross-sectional study was conducted with 83 children (5-12 years of age) residents of Villa de Reyes, SLP. Exposure to arsenic, cadmium, chromium, fluoride and lead was assessed in urine, blood and drinking water samples. Almost all tap and well water samples had levels of arsenic (81.5%) and fluoride (100%) above the permissible levels recommended by the World Health Organization. Mean urine arsenic (45.6ppb) and chromium (61.7ppb) were higher than the biological exposure index, a reference value in occupational settings. Using multivariate adjusted models, we found a dose-dependent association between kidney injury molecule-1 (KIM-1) across chromium exposure tertiles [(T1: reference, T2: 467pg/mL; T3: 615pg/mL) (p-trend=0.001)]. Chromium upper tertile was also associated with higher urinary miR-200c (500 copies/μl) and miR-423 (189 copies/μL). Arsenic upper tertile was also associated with higher urinary KIM-1 (372pg/mL). Other kidney injury/functional biomarkers such as serum creatinine, glomerular filtration rate, albuminuria, neutrophil gelatinase-associated lipocalin and miR-21 did not show any association with arsenic, chromium or any of the other toxicants evaluated. We conclude that KIM-1 might serve as a sensitive biomarker to screen children for kidney damage induced by environmental toxic agents.

Keywords: Arsenic; Children; Chromium; KIM-1; miRNAs.

Figure 1

The relationship between children’s urine chromium and arsenic exposure levels (ppb) in tertiles and novel and traditional kidney injury biomarkers. Results are presented as adjusted predictions of KIM-1, NGAL, miR-21, miR-200c, miR-423, SCr, eGFR and ACR with 95% CIs. The associations were adjusted for age, sex, z-BMI (Model 1). Red circles indicate the adjusted means of a specific kidney injury biomarker for each tertile of urine chromium (9.2-46 ppb; 47-69 ppb; 70-123.6 ppb), whereas blue circles indicate adjusted means of a specific kidney injury biomarker for each tertile of urine arsenic (12-28.3 ppb; 29-42.5 ppb; 43-254 ppb). *p<0.05 and **p<0.005.