Abstract

Original abstract online at
https://www.sciencedirect.com/science/article/abs/pii/S0301479726010406?via%3Dihub


Highlights

  • Novel evidence linking groundwater F, hardness-related ions, and DOM with altered bovine renal biomarkers in CKDu-endemic regions in a One Health approach
  • Exploratory water quality and serum biomarker threshold values proposed for early screening of kidney dysfunction in cattle.
  • Combined exposure to F, Na+, Ca2+, Mg2+, and DOM significantly associated with serum indicators of renal stress.
  • Findings emphasize the importance of considering mixture effects in groundwater risk assessment, in tropical hard-water system.

The ‘One Health’ approach to CKDu research has not yet reported the impact of drinking water exposure on bovine kidney functions in CKDu endemic areas. This study investigated the associations of fluoride and trace elements in high-hardness drinking water with DOM components on bovine kidney functions in CKDu endemic areas. Water samples (n = 190) were collected from drinking water sources in both CKDu-endemic and non-endemic regions, and blood samples were collected from 162 milking cows. Pearson correlogram showed strong positive correlations within the cluster of drinking water F, Hardness, Ca2+, Mg2+, Sr2+ with the organic components of HIX, C1, SUVA, UVAbs254 and TOC in CKDu endemic areas. In cow serum biochemistry parameters, it was found that Blood Urea Nitrogen (BUN), Serum Creatinine (SCR) and Total Protein (TP) values were significantly higher (p < 0.01) in CKDu endemic area group (T) than those in the control group (C). Serum Albumin (SAL) levels were significantly lower (p < 0.01) in the T group, suggesting possible chronic renal stress. The T group showed significant positive correlations (p < 0.01) with F, Na+, and Hardness levels for SCR and TP, except for Hardness with BUN. Nevertheless, SAL exhibited significant (p < 0.05) negative correlations with Hardness, Na+ and F within the T group. Thus, the study identified exploratory, association-based thresholds for selected drinking water and serum biomarkers to support screening of higher-risk cows. Given the observational design, these findings indicate potential preventive screening values within a One Health framework. However, independent validation across diverse geographic and epidemiological settings is recommended.

Introduction

Chronic Kidney Disease of Uncertain etiology (CKDu), has been reported in Central America, India, Sri Lanka, and certain other places around the world (Chandrajith et al., 2011; Dharmawardana et al., 2015). CKDu has threaten the health of people in Sri Lanka, with incidence rates as high as 15-23% in the North Central Province (NCP) (Hettithanthri et al., 2021). However, there has been a limited number of studies conducted within the context of CKDu in ‘One Health’ approach, which need to recognize that the health of people is closely connected to the health of animals and our shared environment. This ‘One Heath’ approach is vital to understand the concerns between ‘Systems’ and ‘Stresses’ to explore the collective ‘Solutions’. CKDu is recognized as a multifactorial disease influenced by environmental, occupational and lifestyle factors etc. Yet, numerous studies have demonstrated that CKDu is linked with the quality of groundwater to the people (Dharmawardana et al., 2015; Chandrajith et al., 2024; Wasana et al., 2016; Wimalawansa and Dissanayake, 2022). However, no research work has reported yet, the effects of such drinking water exposures to the CKD/CKDu prevalence for animals in their natural environment. Specifically, it is worthwhile to explore whether animals residing in high CKDu prevalence areas exhibit similar detrimental effects on their renal functions as humans experience or possess any inherent resilience mechanisms. Since the majority of people affected by CKDu reside in agricultural communities, it is vital to concern about the impact of ground water to renal function of their cattle use for milk production. Also, data for the clinical biochemistry parameters by considering their kidney functions of cattle in those areas is not available. As such, it is an urgent need to address these concerns to understand the effects of environmental exposures on both humans and animals in CKDu endemic areas under one health approach. Also, it is a pressing necessity under the United Nation’s Sustainable Development Goals (SDG). As such, this research focuses on addressing the SDGs aiming for; good health and wellbeing, clean water, poverty and hunger reduction.

Groundwater is a crucial resource for 1.5 billion people worldwide, with 33% of South-Asia’s population using self-supplied water (UNESCO and U.N.E.S. and C.O, 2022; Haddad et al., 2018). In Sri Lanka, over 90% of rural areas rely on groundwater, including high CKDu prevalence areas (Balasubramanya et al., 2020; Dazhou et al., 2023; Foster et al., 2021; Indika et al., 2022). Inorganic ions, such as fluoride ions, hardness, and ionicity/electrolytes, have been linked to CKDu (Chandrajith et al., 2024; Wasana et al., 2012, 2016, 2017; Dharmawardana, 2018; Imbulana and Oguma, 2021). Certain studies have shown positive correlations between higher levels of dissolved organic matter (DOM) and sulfate, calcium, and total iron in high CKDu prevalence areas (Cooray et al., 2019; Makehelwala et al., 2019; Zeng et al., 2023). Further, divalent cations in groundwater interacting with DOM under alkaline conditions may form toxic substances and facilitate F-release (Regan et al., 2017; Zeng et al., 2024). Thus, potentially offering a possible etiological factor for CKDu, yet poorly recognized concern so far (Chandrajith et al., 2024; Zeng et al., 2023). Therefore, this study aimed to; (1) examine associations between fluoride, metal ions, and dissolved organic matter (DOM) in high-hardness drinking water with bovine serum biochemical parameters in regions with a high CKDu prevalence; (2) explore context-specific threshold values for selected drinking water parameters and serum biochemistry markers [blood urea nitrogen (BUN), serum creatinine (SCR), serum albumin (SAL), and total protein (TP)] as preliminary screening indicators for identifying cattle potentially at higher risk of kidney dysfunction (3) propose hypothesis-generating mechanistic pathways, describing how interactions among fluoride, water hardness, and DOM components may contribute to renal stress through the formation of potentially harmful complexes.

As such, the derived threshold values need to be interpreted as exploratory and region-specific screening tools, developed from a regional dataset, and require independent validation before broader application. Nonetheless, integrating groundwater chemistry with bovine serum biochemistry in this manner offers a conceptual framework that may inform cost-effective, preventive research strategies for CKD/CKDu within a One Health approach.

Section snippets

Materials and methods

The Supporting Information (SI) contains comprehensive procedures for water quality analysis; [Inorganic ion analysis using Inductively Coupled Plasma Optical Emission spectroscopy (ICP-OES), Fluoride analysis using Ion Selective Electrode method (ISE), Dissolved Organic Carbon (DOC) component analysis using Three-Dimensional Excitation Emission Matrix (3D-EEM) Fluorescence Spectroscopy and Parallel Factor Analysis (PARAFAC) for optical characterization, Total Organic carbon (TOC) analysis,

Major inorganic solute composition in drinking water

Fluoride [F] is widely recognized as a potential cause of CKDu in Sri Lanka (Dharmawardana et al., 2015; Wasana et al., 2016, 2017; Liyanage et al., 2022; Wickramarathna et al., 2017). The [F] in the examined drinking water sources ranged from 0.30 to 2.30 mg/L with an average of 1.18 mg/L. More than 96% of the collected CKDu endemic region samples had [F] above 0.50 mg/L, whereas 60% of the samples had fluoride values that exceeded 1.0 mg/L (Fig. 2). The WHO recommended level for F in

CRediT authorship contribution statement

H.M.S. Wasana: Writing – review & editing, Writing – original draft, Visualization, Validation, Supervision, Project administration, Methodology, Investigation, Funding acquisition, Formal analysis, Conceptualization. G.D.R.K. Perera: Writing – review & editing, Supervision, Resources, Methodology, Investigation, Funding acquisition, Conceptualization. I.A.M.P. Ileperuma: Software, Formal analysis. H.T.K. Abeysundara: Writing – review & editing, Software, Formal analysis. L. Jayarathne: Writing

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

National Research Council Grant (Sri Lanka): NRC 20-115, the Chinese Academy of Sciences (CAS) President’s International Fellowship Initiative (CAS-PIFI-2022) program for international visiting scientists, the program of China-Sri Lanka Joint Center for Water Technology Research and Demonstration by the CAS; China–Sri Lanka Joint Center for Education and Research by the CAS; the Alliance of International Science Organizations Collaborative Research Program (ANSO-SBA-2023-01); the Beijing

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