Abstract
Metal exposure contributes significantly to the pathogenesis of kidney dysfunction. However, most studies have focused on metal concentration in a single matrix (i.e., blood or urine), and few have explored the associations of metal clearance and visit-to-visit variability with renal function. We conducted a three-wave repeated-measures study of 201 older adults. Metal clearance and visit-to-visit variability were calculated to reflect, respectively, the body burden and homeostasis of meals. Renal function was measured as the urinary albumin-to-creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR). Linear mixed-effects and Bayesian Kernel Machine Regression models were used to evaluate the effects of single metals and metal mixtures. The blood metal mixture was negatively associated with eGFR, and urinary Cu was positively associated with UACR (β = 0.417). The metal clearance ratios of Cu, Ni, and Sr were significantly and negatively associated with eGFR, and Cu had the largest effect estimate. The variability independent of the mean of urinary Cs was negatively associated with eGFR after adjustments for the individual metal mean concentration (IMM) of urinary Cs. Furthermore, the visit-to-visit variability of blood Sr was significantly and positively associated with UACR and independent of IMM. Among eight meals in blood and urine, urinary Cu contributed the most to the increase in UACR. We firstly proposed metal clearance and visit-to-visit variability, and found the new indicators are associated with kidney dysfunction. This study revealed real-world metal exposure from the perspective of metal mixtures and improved the understanding of the pathophysiology of metal exposure-induced kidney dysfunction.
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Data Availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Consent to Publish
The manuscript did not contain any individual person’s data in any form (including any individual details, images or videos).
Abbreviations
- Al:
-
Aluminum
- ARV:
-
Average real variability
- BKMR:
-
Bayesian Kernel Machine Regression
- BMI:
-
Body mass index
- BUN:
-
Blood urea nitrogen
- CaSR:
-
Calcium-sensing receptor
- CI:
-
Confidence interval
- CKD:
-
Chronic kidney disease
- Ce:
-
Cesium
- Cu:
-
Copper
- CV:
-
Coefficients of variation
- eGFR:
-
Estimated glomerular filtration rate
- EPI equation:
-
Chronic Kidney Disease Epidemiology Collaboration equation
- FDR:
-
False discovery rate
- HbA1c:
-
Hemoglobin A1c
- ICC:
-
Intraclass correlation coefficients
- ICP-MS:
-
Inductively coupled plasma mass spectrometer
- ID:
-
Identification
- IMM:
-
Individual metal mean
- IQR:
-
Interquartile range
- LOD:
-
Limits of detection
- MDRD equation:
-
Modification of Diet in Renal Disease equation
- Mn:
-
Manganese
- NHANES:
-
National Health and Nutrition Examination Survey
- Ni:
-
Nickel
- OR:
-
Odds ratio
- Pb:
-
Lead
- ROS:
-
Reactive oxygen species
- SCr:
-
Serum creatinine
- SD:
-
Standard deviation
- Se:
-
Selenium
- Sr:
-
Strontium
- UACR:
-
Urinary albumin-to-creatinine ratios
- UCr:
-
Urinary creatinine
- VIM:
-
Variability independent of the mean
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Funding
This study was supported by the China Medical Board (Grant No. 15-230); China Prospective Cohort Study of Air Pollution and Health Effects in Typical Areas (C-PAT) (Grant No. MEE-EH-20190802); the Fundamental Research Funds for the Central Universities (Grant No. 3332019147); Peking Union Medical College Graduate Innovation Fund (No. 2019-1004-02); the Chinese Academy of Medical Science Innovation Fund for Medical Sciences (Grant No. 2017-I2M-1-009). These funders did not participate in the organization of study design, data collection, analysis, and writing, and did not impose any restrictions regarding the publication of the report.
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All authors contributed to the resources, organization, and completion of filed research work. Conceptualization, investigation, methodology, data analysis, and original draft preparation were performed by AL and JZ. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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The study was approved by the Institutional Ethics Committees of Institute of Basic Medicine, Chinese Academy of Medical Sciences.
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Li, A., Zhao, J., Mei, Y. et al. Variability, Clearance, and Concentration of Multiple Metals and Risk of Kidney Function Abnormality: A New Integrative Metal Exposure Assessment Approach. Expo Health 15, 161–184 (2023). https://doi.org/10.1007/s12403-022-00484-2
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DOI: https://doi.org/10.1007/s12403-022-00484-2