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Review
. 2022 Nov 7;70(1):28.
doi: 10.1007/s00005-022-00665-6.

Application of Metabolomics in Childhood Leukemia Diagnostics

Agata Kozioł  1 , Małgorzata Pupek  2
Affiliations
Review

Application of Metabolomics in Childhood Leukemia Diagnostics

Agata Kozioł et al. Arch Immunol Ther Exp (Warsz). .

Abstract

Metabolomics is a new field of science dealing with the study and analysis of metabolites formed in living cells. The biological fluids used in this test method are: blood, blood plasma, serum, cerebrospinal fluid, saliva and urine. The most popular methods of assessing the composition of metabolites include nuclear magnetic resonance spectroscopy and mass spectrometry (MS) in combination with gas chromatography-MS or liquid chromatography-MS. Metabolomics is used in many areas of medicine. The variability of biochemical processes in neoplastic cells in relation to healthy cells is the starting point for this type of research. The aim of the research currently being carried out is primarily to find biomarkers for quick diagnosis of the disease, assessment of its advancement and treatment effectiveness. The development of metabolomics may also contribute to the individualization of treatment of patients, adjusting drugs depending on the metabolic profile, and thus may improve the effectiveness of therapy, reduce side effects and help to improve the quality of life of patients. Here, we review the current and potential applications of metabolomics, focusing on its use as a biomarker method for childhood leukemia.

Keywords: Cancer; Childhood leukemia; FT-IR; Mass spectrometry; Metabolomics; Nuclear magnetic resonance.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Overview of the central dogma, including fundamentals and design principles for multi-omics profiling in systems biology
Fig. 2
Fig. 2
Techniques for metabolite analysis
Fig. 3
Fig. 3
Analytical workflow of metabolomics studies
See this image and copyright information in PMC

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