Health-related reference intervals for heavy metals in non-exposed young adults
-
Chiara Di Resta
, Francesco Paleari , Assunta Naclerio , Floriana Iannace , Roberto Leone , Ivan Shashkin , Marco Fumagalli , Chiara Sacco , Lucia Bellocchi , Massimo Locatelli , Giuseppe Banfi, Paola M.V. Rancoita
and Rossella Tomaiuolo
Abstract
Objectives
Heavy metals (HMs) concentrations vary with living environments, diet, and personal habits. This study aims to establish health-related reference intervals (RIs) for selected HMs in healthy, non-occupationally exposed young adults living in an urban environment.
Methods
The Uni4Me study enrolled 154 healthy university volunteers (median age: 23 years) to assess the concentrations of seven HMs (lead, nickel, cadmium, zinc, chromium, cobalt, and mercury) using inductively coupled plasma-mass spectrometry (ICP-MS) and inductively coupled plasma-optical emission spectroscopy (ICP-EOS). CLSI guidelines were followed to estimate the 2.5th and 97.5th percentiles as RIs.
Results
Most metals were detected at low concentrations. Zinc showed consistent physiological levels in all participants. Mercury and chromium were the most frequently detected, indicating potential environmental or dietary exposure.
Conclusions
This study defines baseline values for HMs in an urban, healthy, young adult population. These results may support future biomonitoring efforts and public health initiatives targeting subclinical exposure in non-occupationally exposed populations.
Funding source: Regione Lombardia _ Italy
Award Identifier / Grant number: Progetto Neon
Acknowledgments
We would like to express our sincere gratitude to the International Medical Doctor Program (IMDP) students at UniSR for their enthusiasm and participation as volunteers in this study. Their active collaboration was instrumental in achieving the research objectives. Special thanks to the Dean of the Faculty of Medicine, Prof. Flavia Valtorta, and the Dean of the IMDP, Prof. Andrea Salonia, of Vita-Salute San Raffaele University, for their steadfast support and encouragement throughout the project.
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Research ethics: The Ethical Committee approved the study protocol (Uni4Me, V1.1, 2022/01/26).
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
-
Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: The financial support was provided by “Project Neon”-Regione Lombardia.
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Data availability: The raw data are available in the Institutional Repository.
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Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/cclm-2025-0076).
© 2025 Walter de Gruyter GmbH, Berlin/Boston
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- Editorial
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- Reviews
- Regulating the future of laboratory medicine: European regulatory landscape of AI-driven medical device software in laboratory medicine
- The spectrum of nuclear patterns with stained metaphase chromosome plate: morphology nuances, immunological associations, and clinical relevance
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- A cost-effective assessment for the combination of indirect immunofluorescence and solid-phase assay in ANA-screening
- Assessment of measurement uncertainty of immunoassays and LC-MS/MS methods for serum 25-hydroxyvitamin D
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- Machine learning algorithms with body fluid parameters: an interpretable framework for malignant cell screening in cerebrospinal fluid
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