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Signalling mechanisms that regulate metabolic profile and autophagy of acute myeloid leukaemia cells
Abstract
Acute myeloid leukaemia (AML) comprises a heterogeneous group of hematologic neoplasms characterized by diverse combinations of genetic, phenotypic and clinical features representing a major challenge for the development of targeted therapies. Metabolic reprogramming, mainly driven by deregulation of the nutrient‐sensing pathways as AMPK, mTOR and PI 3K/AKT, has been associated with cancer cells, including AML cells, survival and proliferation. Nevertheless, the role of these metabolic adaptations on the AML pathogenesis is still controversial. In this work, the metabolic status and the respective metabolic networks operating in different AML cells (NB‐4, HL‐60 and KG‐1) and their impact on autophagy and survival was characterized. Data show that whereas KG‐1 cells exhibited preferential mitochondrial oxidative phosphorylation metabolism with constitutive co‐activation of AMPK and mTORC 1 associated with increased autophagy, NB‐4 and HL‐60 cells displayed a dependent glycolytic profile mainly associated with AKT/mTORC 1 activation and low autophagy flux. Inhibition of AKT is disclosed as a promising therapeutical target in some scenarios while inhibition of AMPK and mTORC 1 has no major impact on KG‐1 cells’ survival. The results highlight an exclusive metabolic profile for each tested AML cells and its impact on determination of the anti‐leukaemia efficacy and on personalized combinatory therapy with conventional and targeted agents.
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![Figure 1 NB‐4 cells present a high glycolytic metabolism followed by HL‐60 and KG‐1 cells. NB‐4, HL‐60 and KG‐1 cells were maintained for 24 h in normal growth medium. (A) Extracellular glucose and (B) lactate levels were determined using glucose and lactate enzymatic detection kits. (C) The ratio between the extracellular lactate and glucose levels ([Lactate]/[Glucose]) was calculated. (D) Intracellular ATP levels were assessed by the ENLITEN ATP Assay System. (E) Cell viability quantification was determined by flow cytometry analysis of annexin V and propidium iodide (PI)‐stained NB‐4, HL‐60 or KG‐1 cells untreated or treated with 2‐DG instead of glucose, for 24 h. The results presented as mean ± SEM of, at least, 3 independent biological replicates. One‐way ANOVA and Tukey's post hoc test were used to compare the extracellular glucose and lactate levels, the [Lactate]/[Glucose] ratio and the intracellular ATP levels between NB‐4, HL60 and KG‐1 cells. Annexin V/PI data were analysed using 2‐way ANOVA and Bonferroni's post hoc test. *P < .05; **P < .01; ***P < .001](/paper-figures/ea19078e1cab4d1d8e333e18d9c1e792/signalling-mechanisms-that-regulate-metabolic-profile-and-autophagy-of-acute-figure-1.jpg)

![Figure 3 NB‐4 and HL‐60 cells show decreased autophagy flux when compared to KG‐1 cells. Autophagy flux was assessed by immunoblotting analysis of (A) Atg5‐Atg12 complex and (B) LC3 processing (I and II; all samples were incubated for 2 h with bafilomycin A1 [10 nmol/L] before the end of the experiment to block autophagy flux and to allow LC3‐II accumulation) of NB‐4, HL‐60 and KG‐1 cells incubated for 24 h in normal growth medium. Actin was used as loading control. Densitometric analysis was performed, and bands were quantified using the ImageLab4.1™ software. The results presented as mean ± SEM of, at least, 3 independent biological replicates. One‐way ANOVA and Tukey's post hoc test were used to compare densitometric analysis of Atg5‐Atg12/Actin, LC3‐II/Actin and p62/Actin ratios between NB‐4, HL60 and KG‐1 cells. *P < .05; **P < .01; ***P < .001. (C) LC3 A/B‐I/II puncta levels of AML cells were also assessed by immunofluorescence assay upon 24 h in normal growth medium. NB‐4, HL‐60 and KG‐1 cells were staining with goat LC3 anti‐Rabbit IgG antibody (red fluorescence) and samples were counter‐stained with the DNA dye DAPI (blue fluorescence). Representative images of immunofluorescence assay are presented. Bar = 20 μm](/paper-figures/f865e1b50273420eaf83056afe6af3ef/signalling-mechanisms-that-regulate-metabolic-profile-and-autophagy-of-acute-figure-3.jpg)
![Figure 4 Autophagy and energetic metabolism are mainly regulated by AKT‐mTORC1 axis in NB‐4 and HL‐60 cells and by AMPK in KG‐1 cells. NB‐4 and HL‐60 cells were maintained for 24 h with or without MK‐2206 20 μmol/L while KG‐1 cells were cultured for 24 h with or without compound C (CC) 2.5 μmol/L or rapamycin (Rap) 2 μmol/L. (A‐C) Activation of AMPK, AKT and S6K as well as autophagy flux were assessed by immunoblotting analysis. Activation of AMPK and AKT was evaluated by immunoblotting analysis of phosphorylated (Thr172) AMPK and phosphorylated (Ser473) AKT levels, respectively. Activation of S6K was also evaluated by immunoblotting analysis of phosphorylated (Thr389) S6K levels. Autophagy flux was assessed by immunoblotting analysis of LC3 processing (I and II; all samples were incubated for 2 h with bafilomycin A1 [10 nmol/L] before the end of the experiment to block autophagy flux and to allow LC3‐II accumulation). GAPDH was used as loading control. The results are representative of, at least, 3 independent biological replicates. (D‐F) Extracellular glucose and (G‐I) lactate levels were determined using glucose and lactate enzymatic detection kits. (J‐L) Ratio between the extracellular lactate and glucose levels ([Lactate]/[Glucose]). The results presented as mean ± SEM of, at least, 3 independent biological replicates. Student's t test was applied to compare the extracellular glucose and lactate levels as well as the [Lactate]/[Glucose] ratio between untreated and MK‐2206‐treated NB‐4 and HL‐60 cells. One‐way ANOVA and Tukey's post hoc test were used to compare the extracellular glucose and lactate levels as well as the [Lactate]/[Glucose] ratio between untreated and CC‐ or Rap‐treated KG‐1 cells. *P < .05; **P < .01; ***P < .001. (M‐O) Cell viability quantification was determined by flow cytometry analysis of annexin V and PI‐stained NB‐4, HL‐60 or KG‐1 cells. The results presented as mean ± SEM of, at least, 3 independent biological replicates. Annexin V/PI data were analysed using the 2‐way ANOVA and Bonferroni's post hoc test. **P < .01; ***P < .001](/paper-figures/5e2077aaa4fa4f2b90c42a8fc00f9e03/signalling-mechanisms-that-regulate-metabolic-profile-and-autophagy-of-acute-figure-4.jpg)
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“MTOR suppression does not always induce autophagy, such as when BECN1 undergoes inhibitory phosphorylation by the growth factor signaling molecules EGFR and AKT, when microglia are activated by lipopolysaccharide (LPS), a TLR4 ligand [766], or during Salmonella infection [767-769].”
From Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 (2021) · cites this paper as [768]
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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Klionsky, D. J., Abdelmohsen, K., Abe, A., Abedin, M. J., Abeliovich, H., Acevedo Arozena, A., Adachi, H., Adams, C. M., Adams, P. D., Adeli, K., et al. (2016) · Autophagy · doi:10.1080/15548627.2015.1100356 · Cited by 5,894
Self-citationRegulation and function of ribosomal protein S6 kinase (S6K) within mTOR signalling networks
Magnuson, B., Ekim, B., & Fingar, D. C. (2012) · Biochemical Journal · doi:10.1042/bj20110892 · Cited by 1,015
Akt-Mediated Regulation of Autophagy and Tumorigenesis Through Beclin 1 Phosphorylation
Wang, R. C., Wei, Y., An, Z., Zou, Z., Xiao, G., Bhagat, G., White, M., Reichelt, J., & Levine, B. (2012) · Science · doi:10.1126/science.1225967 · Cited by 728
The autophagy initiating kinase ULK1 is regulated via opposing phosphorylation by AMPK and mTOR
Egan, D., Kim, J., Shaw, R. J., & Guan, K.-L. (2011) · Autophagy · doi:10.4161/auto.7.6.15123 · Cited by 627
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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., Abeliovich, H., Abildgaard, M. H., Abudu, Y. P., Acevedo-Arozena, A., et al. (2021) · Autophagy · doi:10.1080/15548627.2020.1797280 · Cited by 2,897
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Metadata
- Authors
- Pereira, O., Teixeira, A., Sampaio‐Marques, B., Castro, I., Girão, H., & Ludovico, P.
- Affiliations
- Life and Health Sciences Research Institute (ICVS) School of Medicine University of Minho Braga Portugal
- Institute for Biomedical Imaging and Life Science (IBILI) Faculty of Medicine University of Coimbra Coimbra Portugal
- ORCID
- Ludovico, Paula
- Venue
- Journal of Cellular and Molecular Medicine
- Publisher
- Wiley
- Published
- 2018-08-17
- Volume
- 22
- Issue
- 10
- Pages
- 4807-4817
- ISSN
- 1582-1838
- 1582-4934
- PMC
- PMC6156238
- Cited by
- 20
- References
- 4
- Language
- en
- Funders
- Fundação para a Ciência e a Tecnologia (SFRH/BD/52292/2013, SFRH/BPD/90533/2012)
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