Zhang Yan, Huang Biyan, Jin Jiao, Xiao Yao, Ying Huimin
Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China.
Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China.
Front Nutr. 2023 Jan 16;9:1111933. doi: 10.3389/fnut.2022.1111933. eCollection 2022.
Trace elements and minerals play a significant role in human health and diseases. In recent years, ionomics has been rapidly and widely applied to explore the distribution, regulation, and crosstalk of different elements in various physiological and pathological processes. On the basis of multi-elemental analytical techniques and bioinformatics methods, it is possible to elucidate the relationship between the metabolism and homeostasis of diverse elements and common diseases. The current review aims to provide an overview of recent advances in the application of ionomics in metabolic disease research. We mainly focuses on the studies about ionomic or multi-elemental profiling of different biological samples for several major types of metabolic diseases, such as diabetes mellitus, obesity, and metabolic syndrome, which reveal distinct and dynamic patterns of ion contents and their potential benefits in the detection and prognosis of these illnesses. Accumulation of copper, selenium, and environmental toxic metals as well as deficiency of zinc and magnesium appear to be the most significant risk factors for the majority of metabolic diseases, suggesting that imbalance of these elements may be involved in the pathogenesis of these diseases. Moreover, each type of metabolic diseases has shown a relatively unique distribution of ions in biofluids and hair/nails from patients, which might serve as potential indicators for the respective disease. Overall, ionomics not only improves our understanding of the association between elemental dyshomeostasis and the development of metabolic disease but also assists in the identification of new potential diagnostic and prognostic markers in translational medicine.
微量元素和矿物质在人类健康与疾病中发挥着重要作用。近年来,离子组学已迅速且广泛地应用于探索不同元素在各种生理和病理过程中的分布、调控及相互作用。基于多元素分析技术和生物信息学方法,阐明各种元素的代谢与稳态和常见疾病之间的关系成为可能。本综述旨在概述离子组学在代谢疾病研究中的最新进展。我们主要关注针对几种主要类型代谢疾病(如糖尿病、肥胖症和代谢综合征)的不同生物样本的离子组或多元素分析研究,这些研究揭示了离子含量独特且动态的模式及其在这些疾病检测和预后中的潜在益处。铜、硒和环境有毒金属的积累以及锌和镁的缺乏似乎是大多数代谢疾病最显著的风险因素,这表明这些元素的失衡可能参与了这些疾病的发病机制。此外,每种类型的代谢疾病在患者的生物流体和头发/指甲中都显示出相对独特的离子分布,这可能作为各自疾病的潜在指标。总体而言,离子组学不仅增进了我们对元素失衡与代谢疾病发展之间关联的理解,还有助于在转化医学中识别新的潜在诊断和预后标志物。