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Journal of Clinical and
            Translational Research                                          Metabolism of healthy and leukemic stem cells



            progression after chemotherapy-based treatment in mouse   concentrations, including glycolytic, FAO, or TCA cycle
            models of AML. 112,113  Thus, it remains unclear if HIF-1 is a   intermediates, as well as amino acids, nucleotides, lipids,
            feasible therapeutic target.                       and small molecules or drugs, at specific time points.
              Other    genomic   alterations  contribute  to     Techniques such as liquid chromatography–MS (LC-
            chemoresistance through well-established mechanisms.   MS) and gas chromatography–MS (GC-MS) are commonly
            Activating mutations in  metabolic  enzymes  such  as   used  for  metabolite  separation  and  detection 115,116
            isocitrate dehydrogenase (IDH) 1 and IDH2 lead to the   (Figure  3). LC-MS separates metabolites using a liquid
            accumulation of the oncometabolite 2-hydroxyglutarate   mobile phase and a stationary phase based on properties
            (2-HG). The presence of 2-HG induces hypermethylation   such as charge, polarity, or hydrophilicity,  whereas
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            of specific genes, preventing cellular differentiation and   GC-MS uses a gas mobile phase to separate compounds
            triggering widespread epigenetic changes.  In addition,   according to volatility and boiling point.  These targeted
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            2-HG upregulates B-cell lymphoma 2 (BCL-2), conferring   MS-based methods are especially valuable for examining
            resistance to apoptosis and increasing sensitivity to BCL-2   the metabolic profiles of quiescent and active HSCs or
            inhibitors.  Overall, elevated BCL-2 expression is crucial   LSCs, where subtle changes in glycolysis, OXPHOS,
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            for LSC survival, supporting a resting, low-ROS state that   FAO, or amino acid metabolism can influence stemness,
            depends on OXPHOS for energy production. 112       activation, proliferation, or therapeutic resistance.
            4. Metabolomic approaches                            However, a major limitation of these approaches is the
                                                               low abundance of HSC and LSC populations within the
            Recent  advances  in  metabolomic  technologies  have   BM. 123,124  This rarity makes it difficult to obtain sufficient
            enabled more precise and comprehensive studies of   cellular material for MS, often necessitating strategies
            metabolism in HSCs and LSCs. Metabolomics allows   such as pooling samples from multiple donors to achieve
            for highly precise measurements of small molecules and   the required input for metabolomic analyses  or
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            metabolites that reflect the metabolic state at the cellular   extensive cell sorting for metabolic flux measurements.
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            or tissue level. 15,16,114  These measurements provide critical   Consequently, the feasibility of single-sample untargeted
            insights into processes that regulate energy production,   workflows in these rare cell populations remains a
            biosynthesis, redox balance, and metabolism, thereby   significant challenge.
            enabling thorough characterization of the metabolic states   Untargeted metabolomics is a bottom-up approach that
            of quiescent and active HSCs as well as LSCs.  This is
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            particularly important because both HSCs and LSCs rely   focuses on identifying and quantifying potentially 100 or
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            on distinct metabolic patterns and pathways  (Table 1).  1000 metabolites along with novel metabolic features.
                                                               This technique allows researchers to identify and analyze
              In addition, metabolic profiling can be used to   shifts in the metabolic profile and metabolic pathways,
            identify diagnostic biomarkers, reveal alterations in   as well as the effects of different treatments on the entire
            metabolic pathways associated with treatment, monitor   system.  This technique enabled the identification of
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            therapeutic responses, and uncover vulnerabilities that   chemotherapy-induced metabolic shifts in osteosarcoma
            may be exploited for the development of novel therapies    stem cells using untargeted metabolomics by LC-MS that
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            (Figure 3). To better understand the metabolic profile of   would not have been detected by targeted metabolomics.
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            HSCs and LSCs, researchers employ technologies such   A prominent example is the identification of 2-HG,
            as mass spectrometry (MS), single-cell and multi-omics   which accumulates in IDH1/2-mutant AML and serves
            approaches, and live-cell metabolic assays.        as both a key biomarker and a direct therapeutic target.
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                                                               Similarly, analyses of CML stem cells have identified
            4.1. Targeted versus untargeted metabolomics
                                                               distinct metabolic enzyme signatures compared to normal
            One widely used technology to study metabolism is MS,   HSCs, highlighting novel vulnerabilities for therapeutic
            an analytical technique that ionizes chemical compounds   exploitation.  It should be noted that choosing between
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            and measures their mass-to-charge (m/z) ratios with high   targeted and untargeted approaches ultimately relies on
            sensitivity and throughput.  Metabolomic analysis using   the biological question, as both are suitable for testing
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            MS typically employs two main approaches: targeted and   hypotheses.  In the context of exploring the metabolic
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            untargeted metabolomics. Targeted metabolomics focuses   profile of HSCs and LSCs, either method can be used to
            on quantifying a specific set of metabolites using known   map metabolic changes associated with HSC activation
            standards for each compound under investigation, thereby   or oncogenic transformation. Furthermore, these
            providing a quantitative snapshot of the metabolome. 121,122    technologies provide foundational data for enhancing our
            This  approach  enables  profiling  of  metabolite  understanding of HSC and LSC metabolism.


            Volume 11 Issue 5 (2025)                        58                         doi: 10.36922/JCTR025320053
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