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Record W4389233509 · doi:10.1182/blood-2023-187283

Polyamines Are Required for AML LSC Function through Their Role in Regulating eIF5A Dependent Protein Synthesis

2023· article· en· W4389233509 on OpenAlexaff
Vincent Rondeau, Rachel Culp‐Hill, Julie A. Reisz, Duhan Yendi, Aarushi Gupta, Jacob M. Berman, Cristiana O’Brien, Tianyi Ling, Aleksandra Bourdine, Mary Shi, Jonathan St‐Germain, Soheil Jahangiri, Anastasia N. Tikhonova, Andrea Arruda, Mark D. Minden, Brian Raught, Angelo D’Alessandro, Courtney L. Jones

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPolyamine Metabolism and Applications
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsBiologyFunction (biology)Cell biologyMolecular biologyChemistryComputational biologyCancer research

Abstract

fetched live from OpenAlex

Outcomes for patients with acute myeloid leukemia (AML) remain poor due to the inability of current therapies to fully eradicate disease initiating leukemia stem cells (LSCs) (Shlush et al., 2017). Many studies have demonstrated that LSCs have unique metabolic properties compared to AML blasts and normal hematopoietic stem and progenitor cells (HSPCs) (Jones et al., 2021). In this study we sought to quantify metabolite levels in LSCs compared to HSPCs using an unbiased metabolites screen. To examine metabolite levels in enriched LSCs and HSPCs we used mass spectrometry-based metabolomics analysis on enriched LSCs from 18 AML patients and HSPCs from 5 normal bone marrow (BM) specimens. Pathway analysis showed that arginine metabolism and biosynthesis were the most significantly enriched pathways in LSCs compared to HSPCs. Clinical studies have shown limited efficacy of targeting arginine levels using arginine degrading enzymes; therefore, we sought to target pathways downstream of arginine. To identify the pathways that arginine metabolism supports in LSCs, we used stable isotope labeled tracing analysis which showed arginine was metabolized through the urea cycle into polyamines in LSCs. Interestingly, the polyamine spermidine was the most significantly enriched metabolite in LSCs compared to HSPCs in our metabolomics analysis. Moreover, expression of SAT1, the enzyme catalyzing the export of polyamines from the cells, was decreased in AML compared to normal BM. Based on these observations, we sought to determine if the polyamine pathway represents a metabolic vulnerability that can be exploited to target LSCs. Polyamines are cationic compounds which have been previously shown to be important for the growth of various cancers but their role in AML LSCs has yet to be determined. To investigate if polyamines are essential for LSC survival and function, we treated LSCs and HSPCs with N1, N11-diethylnorspermine (DENSpm), a polyamine analog causing polyamine depletion through increased SAT1 expression and subsequent cellular export. DENSpm treatment decreased the viability of LSCs in 10 out of 12 of patients tested but had no impact on HSPCs viability. Further, treatment with DENSpm resulted in decreased engraftment potential of 5 AML specimens but did not alter the engraftment of HSPCs from 3 normal BM specimens, suggesting that targeting polyamines represents a promising approach to kill LSCs while sparing HSPCs. We then investigated the mechanisms by which polyamines are essential in LSCs. Using RNA-sequencing analysis on enriched LSCs from 5 AML patients and HSPCs from 3 normal BM specimens we observed an enrichment in myeloid differentiation signatures in DENSpm-treated LSCs but not in DENSpm-treated HSPCs. In line with this, expression of myeloid markers CD11b and CD15 were increased in patient-derived xenograft models engrafted with DENSpm-treated LSCs. As we did not observe such dysregulation in mice engrafted with DENSpm-treated HSPCs, these data suggest polyamine depletion promotes differentiation of LSCs but not HSPCs. Our transcriptomic analysis also unveiled decreased expression of genes involved in protein synthesis in DENSpm-treated LSCs but not in normal HSPCs. Protein synthesis and its regulation are critical for AML survival (Chen et al., 2019; Messling et al., 2022) but the role of polyamines in protein synthesis in LSCs has not been explored. Polyamines stimulate translation notably by serving as precursors for the hypusination of eukaryotic translation initiation factor 5A (eIF5A) (Park et al., 2010). Accordingly, DENSpm led to decreased hypusination of eIF5A in AML cells. This was associated with reduced protein synthesis level in AML cell lines and LSCs but not in normal HSPCs. Strikingly, eIF5A hypusination, protein synthesis and viability were rescued upon co-treatment with spermidine. Moreover, knockdown of eIF5A using siRNA resulted in impaired colony forming potential of AML and altered engraftment in patient-derived xenograft models. Altogether, these results suggest that DENSpm alters AML cell and LSC viability and function at least in part through decreased eIF5A-mediated protein translation. Altogether, our data demonstrates that depletion of polyamines decreased LSC function while sparing normal HSPCs. Mechanistically, our data suggest that LSC targeting is accomplished through decreased eIF5A-mediated synthesis of proteins crucial for LSCs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.244
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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