脂类学
计算生物学
工作流程
数据科学
计算机科学
精密医学
生化工程
生物信息学
医学
生物
工程类
病理
数据库
作者
Samira Salihović,Santosh Lamichane,Tuulia Hyötyläinen,Matej Orešič
标识
DOI:10.1016/j.cbpa.2023.102370
摘要
The objective of this review is to provide a comprehensive summary of the latest methodological advancements and emerging patterns in utilizing lipidomics in clinical research.In this review, we assess the recent advancements in lipidomics methodologies that exhibit high levels of selectivity and sensitivity, capable of generating numerous molecular lipid species from limited quantities of biological matrices. The reviewed studies demonstrate that molecular lipid signatures offer new opportunities for precision medicine by providing sensitive diagnostic tools for disease prediction and monitoring. Moreover, the latest innovations in microsampling techniques have the potential to make a substantial contribution to clinical lipidomics. The review also shows that more work is needed to harmonize results across diverse lipidomics platforms and avoid significant errors in analysis and reporting. The increased implementation of internal standards and standard reference materials in analytical workflows will aid in this direction.
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