In vivo targeted MRS detection of 2-hydroxyglutarate molecules in IDH-mutant gliomas via spin regulation.

Authors

Chuancheng Shi, Kai Huang, Xingrui Wang, Yan Zhou, Mengqiu Cao, Daxiu Wei, Yefeng Yao

Published in

Magnetic resonance letters. Volume 6. Issue 4. Pages 200273. Epub Apr 13, 2026.

Abstract

2-hydroxyglutarate (2-HG) is a key metabolic biomarker for identifying IDH-mutant gliomas. Non-invasive and accurate detection of 2-HG is of great significance for the early diagnosis of diseases and dynamic monitoring of therapeutic efficacy. However, conventional magnetic resonance spectroscopy (MRS) faces challenges in detecting 2-HG in vivo, mainly due to the overlap of its resonance peaks with those of metabolites such as glutamate (Glu) and N-acetylaspartate (NAA). Although the long echo time (TE) filtering method can separate signals to a certain extent, it is often accompanied by peak distortion and signal attenuation, which limits its clinical application. To address this problem, this study proposes a 2-HG-targeted detection sequence based on optimal control pulses. By applying optimal control pulses to regulate the state evolution of a 14-spin system composed of 2-HG, Glu, and NAA molecules, the study achieves selective retention of 2-HG signals and suppression of other molecular signals. In experimental verification conducted on phantoms and IDH-mutant glioma animal models, the targeted sequence exhibited excellent signal resolution performance: it efficiently retained 2-HG signals and achieved approximately 95% and 98% suppression of Glu and NAA signals, respectively. To further verify the quantitative reliability of the targeted sequence, the 2-HG concentrations measured by this sequence were compared with those obtained by liquid chromatography-tandem mass spectrometry (LC-MS/MS). A high linear correlation was found between the two sets of results, which fully confirms the accuracy of non-invasive quantitative detection of 2-HG using the targeted sequence.

PMID:
42436725
Bibliographic data and abstract were imported from PubMed on 12 Jul 2026.

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