Reference ranges for select elements and metals in healthy biomatrices

IF 3.2 3区医学 Q2 MEDICAL LABORATORY TECHNOLOGY

Clinica Chimica Acta Pub Date : 2025-05-09 DOI:10.1016/j.cca.2025.120331

Mohammad Hassan Emami , Safoora Mohammadzadeh , Nasrin Zare , Farideh Saberi , Alireza Fahim , Owais Yousuf , Zakieh Keshavarzi , Pouria Samadi , Samane Mohammadzadeh , Fatemeh Maghool

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引用次数: 0

Abstract

Introduction/Objective

This review aimed to consolidate and compare reference values (RVs) for various elements and metals in biological samples from healthy populations worldwide.

Methods

A Web of Science/PubMed/Scopus review was conducted. Original articles in the English language, from January 2012 to February 2022, with at least 120 participants and 3 evaluated elements, and biological samples of whole blood, serum, plasma, umbilical cord, and hair included in this review.

Results

Ninety-nine studies were screened and assessed, and eventually, 29 eligible studies from 15 countries and a total recruitment of 26,676 healthy subjects, ages ranging from zero to 80 years were included in this review. The results of evaluating 36 trace/micro/meso/macro/ toxic metals and elements in biological fluids and hair were extracted from eligible studies. Several indicators include reference range (lower, upper), arithmetic and geometric mean, median, percentile (lower, upper), and confidence interval (CI) 95 % of evaluated elements were reported. Due to geographical conditions, different demographic factors, and different analytical methodologies, the results of the analysis were various in different countries.

Conclusions

This review points out the necessity for localized RVs and standardized methodologies for accurate clinical evaluations and bio-monitoring. The findings call for extensive studies across diverse populations to develop comprehensive RVs for elements and metals, ensuring effective health assessments and environmental exposure controls.

查看原文本刊更多论文

健康生物基质中选定元素和金属的参考范围。

前言/目的：本综述旨在巩固和比较世界各地健康人群生物样品中各种元素和金属的参考值。方法：进行Web of Science/PubMed/Scopus综述。从2012年1月至2022年2月的英文原创文章，至少有120名参与者和3个评估元素，全血、血清、血浆、脐带和头发的生物样本纳入本综述。结果：筛选和评估了99项研究，最终纳入了来自15个国家的29项符合条件的研究，共招募了26,676名健康受试者，年龄从0到80 岁不等。从符合条件的研究中提取生物体液和头发中36种痕量/微量/中量级/巨量/有毒金属和元素的评估结果。几个指标包括参考范围（下，上），算术和几何平均值，中位数，百分位数（下，上）和置信区间（CI） 95 %的评估要素被报告。由于地理条件、人口因素的不同、分析方法的不同，各国的分析结果也不尽相同。结论：本综述指出，为了准确的临床评价和生物监测，有必要建立本土化的RVs和标准化的方法。研究结果要求对不同人群进行广泛的研究，以制定元素和金属的综合标准，确保有效的健康评估和环境暴露控制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinica Chimica Acta 医学-医学实验技术

CiteScore

10.10

自引率

2.00%

发文量

1268

审稿时长

23 days

期刊介绍： The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.