重金属暴露的代谢组学。

Advances in clinical chemistry Pub Date : 2025-01-01 Epub Date: 2025-07-14 DOI:10.1016/bs.acc.2025.06.005
Shagufta Kamal, Sumble Malik, Farwa Batool, Kanwal Rehman, Muhammad Sajid Hamid Akash
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引用次数: 0

摘要

重金属毒性对环境和人类健康构成重大风险,需要采用先进的分析和综合方法进行评估和缓解。本文回顾了高分辨率代谢组学、超高效液相色谱-质谱法(UHPLC-MS)和傅立叶变换离子回旋共振质谱法(FT-ICR-MS)在鉴定重金属暴露相关代谢紊乱方面的应用。核磁共振,由于其非破坏性的性质和提供定量和结构信息的能力,已经成为识别生物标志物和阐明重金属引起的代谢中断的重要工具。将基因组学、转录组学、蛋白质组学和脂质组学与代谢组学相结合,显著提高了对基因-环境相互作用的理解。系统生物学和计算建模将实验数据与预测见解相结合,模拟复杂的相互作用并确定干预点。此外,本章探讨了先进的仪器和跨学科合作的作用,代谢组学,通过核磁共振和多组学整合,具有管理重金属毒性的潜力,为精准医学和环境恢复铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolomics of heavy metal exposure.

Heavy metal toxicity poses significant risks to environmental and human health, necessitating advanced analytical and integrative approaches for assessment and mitigation. Herein we review the use of high-resolution metabolomics, ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS), and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) to identify metabolic disruptions associated with heavy metal exposure. NMR, due to a non-destructive nature and ability to provide quantitative and structural information, has emerged as a vital tool in identifying biomarkers and elucidating metabolic disruptions caused by heavy metals. Integrating genomics, transcriptomics, proteomics, and lipidomics with metabolomics has significantly enhanced the understanding of gene-environment interactions. Systems biology and computational modeling bridge experimental data with predictive insights, simulating complex interactions and identifying intervention points. Furthermore, this chapter explores advanced instrumentation and the role of interdisciplinary collaboration as metabolomics, enriched by NMR and multi-omics integration, holds the potential to manage the heavy metal toxicity, paving the way for precision medicine and environmental resilience.

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