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Updated: Oct 2, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
Recent advances in metabolomics analysis for early drug development
Juan Carlos Alarcon-Barrera1, Sarantos Kostidis2, Alejandro Ondo-Mendez3
1Center for Proteomics and Metabolomics, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, the Netherlands; Clinical Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Carrera 24 # 63C-69, Bogotá, Colombia.
Metabolomics is now a key quantitative technology in early drug discovery, aiding in understanding drug candidate responses and mechanisms. This review covers recent advances and applications of metabolomics in pharmaceutical research.
Area of Science:
- Biochemistry
- Pharmacology
- Drug Discovery
Background:
- Proteomics and other 'omics' technologies were adopted early by the pharmaceutical industry.
- Metabolomics, initially lagging, is now a widely applied approach in early drug development.
- Metabolomics has transitioned from an exploratory tool to a mature, quantitative biochemical technology over decades.
Purpose of the Study:
- To review recent examples and novel developments in metabolomics analyses for early drug development.
- To highlight the evolution and current applications of metabolomics in pharmaceutical research.
Main Methods:
- Review of current literature on metabolomics applications in early drug discovery.
- Analysis of metabolomics-based platforms used in pharmaceutical research.
Main Results:
- Metabolomics analysis is crucial for defining physiological responses and target engagement (TE) markers.
- It aids in elucidating the mode of action (MoA) of drug candidates.
- Several metabolomics platforms are now integrated into early drug discovery phases.
Conclusions:
- Metabolomics is an indispensable quantitative tool in modern early drug development.
- Continued advancements in metabolomics are enhancing its utility in drug discovery and characterization.
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