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Updated: Apr 1, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
Published on: May 27, 2014
Localized 2D COSY sequences: Method and experimental evaluation for a whole metabolite quantification approach
Dimitri Martel1, K Tse Ve Koon1, Yann Le Fur2
1Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Claude Bernard Lyon 1, France.
Localized Correlation Spectroscopy (LCOSY) and other 2D MRS methods were evaluated for metabolite quantification. This study details LCOSY
Area of Science:
- Magnetic Resonance Spectroscopy
- Metabolomics
- Biophysics
Background:
- Two-dimensional Magnetic Resonance Spectroscopy (2D MRS) enhances metabolite identification by resolving J-coupled spin systems.
- Parametric fitting methods for 2D MRS quantification are established for J-resolved Spectroscopy (JPRESS) but less explored for Localized Correlation Spectroscopy (LCOSY).
Purpose of the Study:
- To investigate the quantification performance of LCOSY, including metabolite relaxation times, using a whole metabolite approach.
- To compare LCOSY with other localized 2D MRS sequences (LCTCOSY, JPRESS) on preclinical systems.
- To analyze implementation challenges and quantification strategies using Fisher matrix formalism and Cramér Rao bounds (CRBs).
Main Methods:
- Evaluation of three localized 2D MRS sequences: LCOSY, LCTCOSY, and JPRESS.
- In vitro experiments on preclinical MR systems.
- Application of Fisher matrix formalism to determine Cramér Rao bounds (CRBs) for parameter estimation precision.
- In vivo application of LCOSY on a mouse brain.
Main Results:
- Parameterized models were developed to compute CRBs, establishing a precision standard for estimated parameters.
- Despite theoretical signal loss, LCOSY's relative CRBs compared to JPRESS are not necessarily doubled.
- LCOSY quantification was successfully applied to in vivo mouse brain data.
Conclusions:
- The study provides a framework for understanding and improving LCOSY quantification in Magnetic Resonance Spectroscopy.
- The findings challenge assumptions about LCOSY's quantitative limitations compared to JPRESS.
- LCOSY demonstrates potential for in vivo metabolite quantification in complex biological systems.
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