我们距离可靠的基于代谢组学的生物标志物还有多远？解决个体间变异性因素的重要性经常被忽视。

How far are we from reliable metabolomics-based biomarkers? The often-overlooked importance of addressing inter-individual variability factors.

机构信息

Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, 11009 Cádiz, Spain.

出版信息

Biochim Biophys Acta Mol Basis Dis. 2024 Jan;1870(1):166910. doi: 10.1016/j.bbadis.2023.166910. Epub 2023 Oct 4.

DOI:10.1016/j.bbadis.2023.166910

PMID:37802155

Abstract

Metabolomics has proven great potential to unravel the molecular basis of diseases. However, most attempts aimed at identifying reliable metabolomics-based biomarkers for diagnosis, prediction, and prognosis of diseases have repeatedly failed because of inconsistent results and unsatisfactory replication in independent cohorts. This review article explores the possible causes behind this reproducibility crisis, with special focus on the role that inter-individual variability factors play in modulating the susceptibility to disease development. Furthermore, we provide future perspectives on the applicability of metabolomics in biomedical research and its translatability into clinical practice.

摘要

代谢组学已被证明具有揭示疾病分子基础的巨大潜力。然而，大多数旨在确定可靠的代谢组学疾病诊断、预测和预后生物标志物的尝试都因结果不一致和在独立队列中复制效果不佳而屡屡失败。本文探讨了造成这种可重复性危机的可能原因，特别关注个体间变异因素在调节疾病易感性方面所起的作用。此外，我们还对代谢组学在生物医学研究中的适用性及其向临床实践的转化提供了未来展望。