Abstract
2-Deoxy-D-glucose (2DG) has recently received emergency approval for the treatment of COVID-19 in India, after a successful clinical trial. SARS-CoV-2 infection of cultured cells is accompanied by elevated glycolysis and decreased mitochondrial function, whereas 2DG represses glycolysis and stimulates respiration, and restricts viral replication. While 2DG has pleiotropic effects on cell metabolism in cultured cells it is not known which of these manifests in vivo. On the other hand, it is known that 2DG given continuously can have severe detrimental effects on the rodent heart. Here, we show that the principal effect of an extended, intermittent 2DG treatment on mice is to augment the mitochondrial respiratory chain proteome in the heart; importantly, this occurs without vacuolization, hypertrophy or fibrosis. The increase in the heart respiratory chain proteome suggests an increase in mitochondrial oxidative capacity, which could compensate for the energy deficit caused by the inhibition of glycolysis. Thus, 2DG in the murine heart appears to induce a metabolic configuration that is the opposite of SARS-CoV-2 infected cells, which could explain the compound’s ability to restrict the propagation of the virus to the benefit of patients with COVID-19 disease.
Subject terms: Cardiovascular biology, Proteomics
Introduction
2 deoxy-D-glucose (2DG) reconfigures cell metabolism by restricting glucose consumption in cells and tissues owing to inhibition of glycolysis1; as such, there is considerable interest in its potential as an anti-cancer agent, given the highly glycolytic nature of many cancer cells2. Recently, 2DG has attracted further interest as it restricts SARS-CoV-2 viral replication in infected human cultured cells3, and it has recently received emergency approval for the treatment of COVID-19 in India, after a successful clinical trial4.
Following infection, viruses usurp control of the host cell and remodel processes and pathways to optimize viral production. Hence, configuring cell metabolism opposite to the preferences of the virus represents a potentially powerful anti-viral strategy. Previous studies have shown that glycolysis is upregulated in response to viral infection, and that 2DG restricts the replication of viruses as diverse as HSV, Rhinovirus, Norovirus and SARS-CoV-23,5,6. However, inhibition of glycolysis is merely the most prominent of a number of pleiotropic effects of 2DG on cell metabolism. Deciphering 2DG’s effects in vivo is important to understand how it might restrict viral infections, such as SARS-CoV-2, and any complications that might segue, especially those affecting the heart where 2DG has been reported to have serious detrimental effects in rodents7.
Several intersecting cellular pathways and processes are linked to SARS-CoV-2 replication and propagation, including TORC1, HIF1α and one-carbon metabolism8–10, although the importance of each of these is still the subject of debate. Nevertheless, the chief rationale is that glycolysis is a major pathway to generate biosynthetic precursors that is hijacked by the viruses, and so 2DG would limit the availability of precursor molecules for viral construction. Glycolysis is also used to generate energy in the form of ATP and the energy yield depends on the fate of the final product, pyruvate: it is low when converted to lactate, but much higher when pyruvate is oxidized in the mitochondria, via the respiratory chain. Notably, the former does not require oxygen, whereas mitochondrial energy production is dependent on oxygen. Hence, the increase in glycolysis associated with SARS-CoV-2 infection3 might explain why many patients tolerate very low oxygen levels—presumably they are using glycolysis heavily and barely utilizing their mitochondria. In support of this hypothesis, perturbation of mitochondrial function is a feature of SARS-CoV-2 infected cells8,11. Thus, decreasing glycolysis and augmenting mitochondrial function could be beneficial to tackle the disease. As 2DG achieves both these effects in cultured cells12 we sought to determine whether this occurred in vivo in the heart, which could explain its reported anti-SARS.CoV-2 effects.
Results
Proteomic analysis accurately reflects mitochondrial respiratory chain abundance
A new generation of mass spectrometers has considerably enhanced the capacity of proteomic analysis to yield information on relative protein abundance. Because it samples thousands of proteins it is highly sensitive to changes in diverse aspects of cell and organ metabolism13,14. Of particular importance to our investigation was the mitochondrion, and so we compared heart and lung from C57BL/6J mice to determine whether the higher respiratory capacity of the heart15 was evident at the protein level. A mass spectrometry-based differential protein abundance analysis indicated that many proteins of the respiratory chain, TCA cycle and pyruvate dehydrogenase were detected at much higher frequency in heart than lung (Table S1), which establishes that this proteomic approach accurately reflects the abundance of mitochondrial energy producing machinery and allied enzymes and pathways.
2DG augments the mitochondrial respiratory chain in heart
To determine whether a high dose of 2DG could be well tolerated and induce changes in energy metabolism, we treated two groups of mice (B and C) intermittently for 8 months with 2DG and compared to a control group (A). Group B received 0.4% (w/v) 2DG in drinking water, 3 days per week, while group C received the same dose for 3 days every 2 weeks. Two days after the final dose mice were sacrificed and heart and lung proteins were analyzed by quantitative mass spectrometry. In the heart, among the 1227 identified proteins, 127 were significantly differentially expressed between controls and 2DG treated mice, almost all of which were more abundant in the 2DG treated animals. Irrespective of whether the two groups were considered individually (Tables 1, S2-S3) or together (Tables 2, S4), the most significantly altered pathways were related to the mitochondrial respiratory chain and ATP metabolism, based on Gene Ontology (GO) analysis. When the treated groups, were combined and compared to the controls, mitochondrial ATP synthesis coupled electron transport (GO:0042775) had a fold enrichment score of 28 and was the most significantly altered process (FDR 3.34E-06), among those with fewer than 100 members (Table 2). The larger category of ATP metabolic process (GO:0046034) was the most significantly altered process of all, FDR = 6.52E-12.
Table 1.
GO biological process complete | Fold enrichment | Raw P-value | FDR < 0.05 |
---|---|---|---|
Analysis type: B/A | |||
Mitochondrial electron transport, NADH to ubiquinone (GO:0006120) | 76.35 | 4.54E-07 | 3.57E-03 |
Purine ribonucleoside biosynthetic process (GO:0046129) | 51.53 | 3.96E-05 | 4.45E-02 |
Nucleoside biosynthetic process (GO:0009163) | 51.53 | 3.96E-05 | 4.16E-02 |
Ribonucleoside biosynthetic process (GO:0042455) | 51.53 | 3.96E-05 | 3.90E-02 |
Purine nucleoside biosynthetic process (GO:0042451) | 51.53 | 3.96E-05 | 3.67E-02 |
Alternative mRNA splicing, via spliceosome (GO:0000380) | 46.85 | 5.12E-05 | 4.48E-02 |
Glycosyl compound biosynthetic process (GO:1901659) | 44.81 | 5.78E-05 | 4.79E-02 |
Mitochondrial ATP synthesis coupled electron transport (GO:0042775) | 33.68 | 5.98E-07 | 3.14E-03 |
ATP synthesis coupled electron transport (GO:0042773) | 31.23 | 8.48E-07 | 3.34E-03 |
Oxidative phosphorylation (GO:0006119) | 23.53 | 3.15E-06 | 7.08E-03 |
Respiratory electron transport chain (GO:0022904) | 23.53 | 3.15E-06 | 6.20E-03 |
Electron transport chain (GO:0022900) | 22.31 | 4.03E-06 | 7.06E-03 |
ATP metabolic process (GO:0046034) | 18.08 | 2.46E-09 | 3.88E-05 |
Cellular respiration (GO:0045333) | 13.63 | 3.94E-05 | 4.78E-02 |
Energy derivation by oxidation of organic compounds (GO:0015980) | 11.02 | 2.04E-05 | 2.68E-02 |
Analysis type: C/A | |||
---|---|---|---|
Intracellular distribution of mitochondria (GO:0048312) | 67.86 | 2.10E-05 | 2.07E-02 |
Mitochondrial electron transport, NADH to ubiquinone (GO:0006120) | 45.24 | 6.04E-05 | 4.75E-02 |
NADH dehydrogenase complex assembly (GO:0010257) | 22.16 | 4.30E-05 | 3.98E-02 |
Mitochondrial respiratory chain complex I assembly (GO:0032981) | 22.16 | 4.30E-05 | 3.76E-02 |
Regulation of protein import (GO:1904589) | 16.76 | 1.62E-05 | 1.70E-02 |
Cellular respiration (GO:0045333) | 12.93 | 9.18E-06 | 1.31E-02 |
Energy derivation by oxidation of organic compounds (GO:0015980) | 10.16 | 7.31E-06 | 1.28E-02 |
Upper section 2DG treated group B vs. controls (A), based on 64 significantly altered proteins. Lower section, 2DG treated group C vs. A (81 proteins). The peptide abundances were converted to log2 and a t-test applied and filtered, criteria for inclusion: FDR < 0.05; > tenfold enrichment. GO processes in bold relate to mitochondrial energy production and ATP metabolism.
Table 2.
GO biological process complete | Fold Enrichment | Raw P-value | FDR < 0.001 |
---|---|---|---|
Analysis type: (B + C) vs. A | |||
Cardiac myofibril assembly (GO:0055003) | 49.66 | 1.52E-07 | 7.06E-05 |
Mitochondrial ATP synthesis coupled electron transport (GO:0042775) | 28.04 | 1.27E-09 | 3.34E-06 |
ATP synthesis coupled electron transport (GO:0042773) | 26.00 | 2.18E-09 | 3.82E-06 |
Glycolytic process (GO:0006096) | 23.32 | 4.33E-07 | 1.75E-04 |
ATP generation from ADP (GO:0006757) | 22.82 | 4.86E-07 | 1.87E-04 |
ADP metabolic process (GO:0046031) | 22.75 | 5.30E-08 | 3.79E-05 |
NADH dehydrogenase complex assembly (GO:0010257) | 21.89 | 6.08E-07 | 2.18E-04 |
Mitochondrial respiratory chain complex I assembly (GO:0032981) | 21.89 | 6.08E-07 | 2.13E-04 |
Purine ribonucleoside diphosphate metabolic process (GO:0009179) | 21.21 | 8.23E-08 | 4.99E-05 |
Purine nucleoside diphosphate metabolic process (GO:0009135) | 21.21 | 8.23E-08 | 4.80E-05 |
Nucleoside diphosphate phosphorylation (GO:0006165) | 20.86 | 9.15E-08 | 4.97E-05 |
Nucleotide phosphorylation (GO:0046939) | 19.86 | 1.24E-07 | 6.12E-05 |
Oxidative phosphorylation (GO:0006119) | 19.59 | 1.67E-08 | 1.55E-05 |
Respiratory electron transport chain (GO:0022904) | 19.59 | 1.67E-08 | 1.46E-05 |
Ribonucleoside diphosphate metabolic process (GO:0009185) | 19.55 | 1.37E-07 | 6.56E-05 |
Electron transport chain (GO:0022900) | 18.57 | 2.45E-08 | 2.03E-05 |
Pyruvate metabolic process (GO:0006090) | 17.88 | 2.42E-07 | 1.09E-04 |
ATP metabolic process (GO:0046034) | 17.77 | 4.14E-16 | 6.52E-12 |
Carbohydrate catabolic process (GO:0016052) | 16.82 | 5.00E-08 | 3.75E-05 |
Nucleoside diphosphate metabolic process (GO:0009132) | 15.45 | 6.07E-07 | 2.22E-04 |
Cellular respiration (GO:0045333) | 12.77 | 6.59E-08 | 4.32E-05 |
Energy derivation by oxidation of organic compounds (GO:0015980) | 12.43 | 9.43E-11 | 4.95E-07 |
Generation of precursor metabolites and energy (GO:0006091) | 11.92 | 6.46E-15 | 5.09E-11 |
GO biological processes identified as significantly altered in murine heart by 2DG treatment combining the data from two groups treated with 2DG (B and C), vs. controls (A) (127 proteins). The peptide abundances were converted to log2 and a t-test applied and filtered, criteria for inclusion: FDR < 0.001; > tenfold enrichment. GO processes in bold relate to mitochondrial energy production and ATP metabolism, or glycolysis/carbohydrate metabolism.
Volcano plot analysis of the individual proteins also indicated a pronounced skew to the respiratory chain (10 structural components, 1 assembly factor and MTCH2 that is annotated as ‘respiratory chain’ in Gene Ontology) (Fig. 1a). Of the 19 other significant mitochondrial proteins four are linked to branch-chain amino acid (BCAA) metabolism: BCAT2 (ILV catabolism), HMGCL (leucine catabolism), HIBCH (Valine catabolism) and PCCB (Catabolism of BCAAs and other metabolites). Because glucose represses the expression of factors involved in BCAA degradation in cultured cardiomyocytes16, increased levels of BCAA catabolic enzymes imply restricted glucose metabolism.
Three other mitochondrial factors increased by 2DG treatment are related to the expression of mtDNA (RRF2M, RM44, FAKD4), and two to mitochondrial distribution (MTFP1, ARMC1) (Fig. 1b). The other significantly altered mitochondrial proteins (Fig. 1, legend) do not fit a particular pathway or process in the organelle, nor do they suggest a wholesale increase in mitochondrial biogenesis, which would have given rise to higher levels of a much broader range of protein components of the mitochondria. Instead, the proteomic analysis indicates that 2DG primarily increases the abundance of mitochondrial respiratory chain factors, and enhances branched-chain amino acid catabolism (Tables 1, 2 and S4, and Fig. 1); both of which are concordant with decreased glucose metabolism. In contrast to the heart, there were no significantly altered pathways of any description, between 2DG treated and control lung, based on Gene Ontology analysis (Table S5).
Altered glycolysis in 2DG-treated heart
The second most highly ranked process in the combined comparison (Table 2) was the ‘generation of precursor metabolites and energy’ (GO:0006091) (FDR = 5.63E-11). This is notable because it encompasses glycolysis, which 2DG inhibits in cultured cells and in vivo17. Direct evidence that 2DG has a major impact on glycolysis in the heart comes from the significant changes in five glycolytic enzymes induced by the 2DG treatments, including Hexokinase I that is a direct target of 2DG (Fig. 1b, Table S4). GO analysis indicated a 23-fold enrichment of proteins related to the glycolytic process (GO:0006096) with a highly significant FDR score of 1.75E-04.
In contrast to the changes in mitochondrial respiration and glycolysis, there was no striking evidence of ER-stress (aka the unfolded protein response (UPR)), which is another established effect of 2DG in cultured cells18. No GO process related to UPR achieved an FDR < 0.05, even when considering those with enrichments scores below the cut-off of 10 applied to the data in Tables 1 and 2, and while there was a 1.4 fold increase in the canonical UPR marker BiP/GRP78 in the hearts of the 2DG treated mice, it was not significant (p = 0.213). UPR induction may be limited by enhanced HSP70 and HSP90 coupling, as the protein that mediates this connection, STIP1, was significantly increased in the 2DG treated mice (Table S4). More recently 2DG treatment has been shown to restrict glutamine, as well as glucose, utilization in cultured cells19. Although there was no significant alteration to any GO process related to glutamine metabolism (Table 2), glutamine-tRNA ligase and cytoplasmic aspartate-tRNA ligase were among the significantly increased proteins, as was a component of the glutamate-aspartate shuttle, GOT1 (cytoplasmic aspartate aminotransferase) (Table S4), which might reflect changes in glutamine and aspartate metabolism. Notwithstanding these considerations, the prominent changes in the respiratory chain coupled with those of glycolysis and the allied pathways of carbohydrate metabolism strongly indicate that the major effect of 2DG in the heart is altered glucose metabolism, and that this is over and above any other effects, at least from a proteomic perspective.
Intermittent 2DG treatment does not cause overt cardiac toxicity
The 0.4% (w/v) 2DG in drinking water equated to 320 mg/Kg/day, which, at both 3 days per week and 3 days every two weeks, increased the mitochondrial respiratory chain proteome (Table 2). Hence, these molecular changes do not require a continuous 2DG treatment and doses can be spaced at least 11 days apart. The intermittent dosing regimes were designed primarily to avoid the severe cardiac abnormalities and premature death associated with a chronic, continuous 2DG treatment of rodents at the same dose7. After 8 months of intermittent 2DG treatment, the mice had reached approximately 1 year old, and there were no deaths among any of the three groups. Moreover, the heart to body mass ratio, and individual myofibre size were essentially the same for controls and 2DG treated mice with no evidence of fibrosis or vacuolization based on hematoxylin eosin and picrosirius red staining (Fig. 2). The only difference in heart performance, revealed by magnetic resonance imaging, was a small increase in the cardiac output index after eight months of treatment (Fig. 3). At the proteomic level, cardiac myofibril assembly factors (GO:0055003) were 50-fold enriched (FDR = 7.06E-05), suggesting that myofibril assembly is augmented by the 2DG treatments. A likely contributing factor to this change is the most significantly altered protein mimecan/osteoglycin (Table S4), as it is implicated in the regulation of left ventricular mass20.
Discussion
2DG restricts glucose consumption by inhibiting glycolysis, and in cultured cells curtailed glycolytic ATP production can be compensated by increased respiration (e.g.12). The elevated mitochondrial respiratory chain proteome (Tables 1 and 2, and Fig. 1) strongly suggests 2DG induces the same changes in the heart. That 2DG is effective in vivo as well as in vitro boosts its prospects for clinical development. The therapeutic potential of 2DG extends from viruses3–6 to cancer2, and it holds considerable promise for autosomal dominant polycystic disease (ADPKD) and some mitochondrial DNA diseases12,17. While these disorders have different features, the expectation is that all will benefit from a switch from glycolytic to mitochondrial ATP production. As the treatments are likely to endure months or years, an important facet of the new data is that they suggest extended, intermittent 2DG treatment regimes can be devised that alter energy metabolism without causing cardiac toxicity or premature death. The new findings complement those in the rat, where continuous exposure to 0.25% (w/v) 2DG (approximately 200 mg/Kg/day) was not cardiotoxic7, and only beneficial effects were detected from a 10 week treatment of ADPKD mice with 100 mg/Kg/day 2DG, 5 days per week17. Hence, intermittent treatments at doses lower than the one used in this study, such as 100 mg/Kg/day 2DG, could augment mitochondrial function with minimal or no detrimental effect on the heart.
In the particular case of SARS-CoV-2, the current study suggests 2DG could have the same anti-viral properties in major organs, such as the heart, as those reported in cultured cells3. In vitro the virus increases glycolysis and represses mitochondrial function3,8,11 and 2DG is diametrically opposed to these changes, in that the increase in the respiratory chain predicts a switch in energy producing pathways, from glycolytic to mitochondrial energy production (Fig. 4). Thus, while we do not yet know whether the heart responds the same to 2DG when an individual is infected with SARS-CoV-2, the new findings offer a credible explanation for the reported positive outcomes of 2DG treatment of patients in India with COVID19.
Methods
Ethics statement
This study (PRO-AE-SS-185) was approved by the Ethical Committee of CIC biomaGUNE and local authorities of Gizpukoa. Animal maintenance and handling was conducted in accordance with the European Council Directive 2010/63/UE.
Animal maintenance
C57BL/6 J mice of three months of age were purchased from Charles River laboratories and were fed a standard chow, and normal unadulterated drinking water (group A), or drinking water with 0.4% (w/v) 2DG three days per week (group B), or three days every two weeks (group C).
Mass spectrometry analysis
Hearts were homogenized in RIPA buffer with an ultra-turrax, 2 bursts of 10 s on ice. Homogenized heart was solubilized with 7 M Urea, 2 M Tiourea, and 4% CHAPS and in-solution protein digestion was performed following the FASP protocol21, using Amicon Ultra 30 K devices (Merck-Millipore). Proteins were quantified with Bradford assays (Bio-Rad), prior to overnight incubation with trypsin at 37ºC (at the relatively high trypsin: protein ratio of 1:10 to maximize cleavages). The resulting peptides were dried and resuspended in 0.1% FA, and sonicated for 5 min prior to analysis in an LC MS/MS system: EVOSEP ONE (EVOSEP) coupled on-line to a hybrid trapped ion mobility spectrometry – quadrupole time of flight mass spectrometer (timsTOF Pro with PASEF, Bruker Daltonics)13. Raw MS files were analysed using PEAKS Pro (Bioinformatics Solutions Inc.). Proteins were identified matching to a mouse (Uniprot/Swissprot Mus musculus) with a maximum of 2 missed cleavages and with precursor and fragment tolerances of 20 ppm and 0.05 Da. A false discovery rate estimation procedure was applied for peptide identification (FDR < 1%) and only proteins detected with at least 2 peptides were considered for the quantitative analysis. Duplicates were acquired for each sample, and protein abundances were averaged before analysis. Data was analysed using the Perseus platform22, protein abundances were log2 transformed and imputed, then compared using a student’s t-test (p < 0.05 considered as significant).
Magnetic resonance imaging
Anesthesia was induced with 3% isoflurane in 30% oxygen and maintained at 1–2% isoflurane during the experiments. Heart analysis was performed on a 7 Tesla Bruker Biospec 70/30 USR MRI system (Bruker Biospin GmbH, Ettlingen, Germany), interfaced to an AVANCE III console and with a BGA12-S imaging gradient insert (maximal gradient strength 400 mT/m, switchable within 80 µs). Measurements were performed with a 72 mm volumetric quadrature coil for excitation and a 20 mm rat brain surface coil for reception. Short axis images were acquired from the apex covering both ventricles. 11–12 0.8 mm slices were acquired using a Bruker cine IntraGate FLASH sequence using the following parameters: Effective TE = 2.82 ms; TR = 6.87 ms; Matrix = 256 × 128 points; FA = 30; FOV = 25 × 25 mm. Images were reconstructed in 15 phases of a single cardiac cycle.
Histology
Paraffin-embedded section (4 µm) of the heart were mounted on glass slides. Subsequently, slides of the heart were stained with hematoxylin eosin or Picrosirius red to assess the structure and fibrosis by imaging software (ImageJ, 1.52P). Image acquisition was performed with an inverted epifluorescence microscope (Axio Observer Z1, Zeiss).
Statistical analysis
Analyses were performed using GraphPad Prism version 8, San Diego, California USA. Data are expressed as mean ± s.e.m., unless otherwise indicated. Statistical comparisons were made in Prism software using a Student’s t-test (for two groups meeting the normal distribution criteria, according to the Shapiro–Wilk normality test), Mann–Whitney U-test (for two groups not meeting the normal distribution criteria) or ANOVA with Tukey’s multiple comparison test (for groups across variables, with multiple comparisons between groups). For all tests, P < 0.05 was considered significant.
Ethics declarations
The study is reported in accordance with ARRIVE guidelines (https://arriveguidelines.org).
Supplementary Information
Acknowledgements
MJS-G is supported by a pre-doctoral fellowship from the Spanish Ministry of Education (PRE2018-083691). UF is supported by a pre-doctoral fellowship from the Basque Government (PRE_2018_1_0253).This study has been funded by Instituto de Salud Carlos III (ISCIII) through the projects PI17/00380 and PI20/00096 and co-funded by the European Union), the País Vasco Department of Health (projects 2018111043; 2018222031), and CiberNED (IJH). JRC is supported by grants from the Ministry of Science, Innovation and Universities (SAF2017-84494-C2-R), the Gobierno Vasco, Dpt. Industry, Innovation, Commerce and Tourism under the ELKARTEK Program (Grant No. KK-2019/bmG19). JRC also received funding from the BBVA Foundation (Ayudas a Equipos de investigación científica Biomedicina 2018) and from La Caixa Foundation (Health Research Call 2020: HR20-00075). AS research is supported by the Brain Research UK, the Muscle Dystrophy UK and The Lily foundation. This work was also performed under the Maria de Maeztu Units of Excellence Programme Grant No. MDM20170720 Ministry of Science, Innovation and Universities.
Author contributions
I.J.H and J.R.-C conceived the study, designed the experiments and analyzed the data, with help of A.S, D.P-R and P.R.-C. I.A-Z, M.J.S-G, and M.V-F contributed to the design of the experiments, performed the bulk of them, and analyzed the data, with additional contributions from U.F-P and L.F-P. MA and F.E performed the proteomic analysis and data processing.
Data availability
In addition to the data displayed in the figures of the main article, further details of the individual proteins significantly differently expressed in hearts treated with 2DG vs. controls are listed in Supplementary Tables 1–3. The full set of proteomic data have been deposited in PRIDE (PXD027974).
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors jointly supervised this work: Jésus Ruíz-Cabello and Ian J. Holt.
Contributor Information
Jésus Ruíz-Cabello, Email: jruizcabello@cicbiomagune.es.
Ian J. Holt, Email: ian.holt@biodonostia.org
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-022-10168-1.
References
- 1.Wick AN, et al. Localization of the primary metabolic block produced by 2-deoxyglucose. J. Biol. Chem. 1957;224:963–969. doi: 10.1016/S0021-9258(18)64988-9. [DOI] [PubMed] [Google Scholar]
- 2.Xi H, Kurtoglu M, Lampidis TJ. The wonders of 2-Deoxy-d-glucose. IUBMB Life. 2014;66:110–121. doi: 10.1002/iub.1251. [DOI] [PubMed] [Google Scholar]
- 3.Bojkova D, et al. Proteomics of SARS-CoV-2-infected host cells reveals therapy targets. Nature. 2020;583:469–472. doi: 10.1038/s41586-020-2332-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Mesri EA, Lampidis TJ. 2-Deoxy-d-glucose exploits increased glucose metabolism in cancer and viral-infected cells: relevance to its use in India against SARS-CoV-2. IUBMB Life. 2021;73:1198–1204. doi: 10.1002/iub.2546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Passalacqua, K.D., et al. Glycolysis is an intrinsic factor for optimal replication of a norovirus. MBio10, (2019). [DOI] [PMC free article] [PubMed]
- 6.Courtney RJ, Steiner SM, Benyesh-Melnick M. Effects of 2-deoxy-d-glucose on herpes simplex virus replication. Virology. 1973;52:447–455. doi: 10.1016/0042-6822(73)90340-1. [DOI] [PubMed] [Google Scholar]
- 7.Minor RK, et al. Chronic ingestion of 2-deoxy-d-glucose induces cardiac vacuolization and increases mortality in rats. Toxicol. Appl. Pharmacol. 2010;243:332–339. doi: 10.1016/j.taap.2009.11.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Mullen PJ, et al. SARS-CoV-2 infection rewires host cell metabolism and is potentially susceptible to mTORC1 inhibition. Nat. Commun. 2021;12:1876. doi: 10.1038/s41467-021-22166-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zhang Y, et al. SARS-CoV-2 hijacks folate and one-carbon metabolism for viral replication. Nat. Commun. 2021;12:1676. doi: 10.1038/s41467-021-21903-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Codo AC, et al. Elevated Glucose Levels Favor SARS-CoV-2 Infection and Monocyte Response through a HIF-1α/Glycolysis-Dependent Axis. Cell Metab. 2020;32:437–446.e5. doi: 10.1016/j.cmet.2020.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gibellini L, et al. Altered bioenergetics and mitochondrial dysfunction of monocytes in patients with COVID-19 pneumonia. EMBO Mol. Med. 2020;12:e13001. doi: 10.15252/emmm.202013001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Pantic B, et al. 2-Deoxy-d-glucose couples mitochondrial DNA replication with mitochondrial fitness and promotes the selection of wild-type over mutant mitochondrial DNA. Nat. Commun. 2021;12:6997. doi: 10.1038/s41467-021-26829-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Meier F, et al. Online parallel accumulation–serial fragmentation (PASEF) with a novel trapped ion mobility mass spectrometer. Mol. Cell. Proteom. 2018;17:2534–2545. doi: 10.1074/mcp.TIR118.000900. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Zhong Z, et al. Comparative proteomics of cancer stem cells in osteosarcoma using ultra-high-performance liquid chromatography and Orbitrap Fusion mass spectrometer. Talanta. 2018;178:362–368. doi: 10.1016/j.talanta.2017.09.053. [DOI] [PubMed] [Google Scholar]
- 15.Baratli AL, et al. Impact of iron oxide nanoparticles on brain, heart, lung, liver and kidneys mitochondrial respiratory chain complexes activities and coupling. Toxicol. In Vitro. 2013;27:2142–2148. doi: 10.1016/j.tiv.2013.09.006. [DOI] [PubMed] [Google Scholar]
- 16.Shao D, et al. Glucose promotes cell growth by suppressing branched-chain amino acid degradation. Nat. Commun. 2018;9:1–17. doi: 10.1038/s41467-017-02088-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chiaravalli M, et al. 2-Deoxy-d-glucose ameliorates PKD progression. J. Am. Soc. Nephrol. 2016;27:1958–1969. doi: 10.1681/ASN.2015030231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Yu Z, et al. The endoplasmic reticulum stress-responsive protein GRP78 protects neurons against excitotoxicity and apoptosis: suppression of oxidative stress and stabilization of calcium homeostasis. Exp. Neurol. 1999;155:302–314. doi: 10.1006/exnr.1998.7002. [DOI] [PubMed] [Google Scholar]
- 19.Wang F, et al. Glycolytic stimulation is not a requirement for M2 macrophage differentiation. Cell Metab. 2018;28:463–475.e4. doi: 10.1016/j.cmet.2018.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Petretto E, et al. Integrated genomic approaches implicate osteoglycin (Ogn) in the regulation of left ventricular mass. Nat. Genet. 2008;40:546–552. doi: 10.1038/ng.134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wiśniewski JR, et al. Universal sample preparation method for proteome analysis. Nat. Methods. 2009;6:359–362. doi: 10.1038/nmeth.1322. [DOI] [PubMed] [Google Scholar]
- 22.Tyanova S, et al. The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat. Methods. 2016;13:731–740. doi: 10.1038/nmeth.3901. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
In addition to the data displayed in the figures of the main article, further details of the individual proteins significantly differently expressed in hearts treated with 2DG vs. controls are listed in Supplementary Tables 1–3. The full set of proteomic data have been deposited in PRIDE (PXD027974).