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Aspirin impairs acetyl-coenzyme A metabolism in redox-compromised yeast cells

Abstract

Aspirin is a widely used anti-inflammatory and antithrombotic drug also known in recent years for its promising chemopreventive antineoplastic properties, thought to be mediated in part by its ability to induce apoptotic cell death. However, the full range of mechanisms underlying aspirin’s cancer-preventive properties is still elusive. In this study, we observed that aspirin impaired both the synthesis and transport of acetyl-coenzyme A (acetyl-CoA) into the mitochondria of manganese superoxide dismutase (MnSOD)-deficient Saccharomyces cerevisiae EG110 yeast cells, but not of the wild-type cells, grown aerobically in ethanol medium. This occurred at both the gene level, as indicated by microarray and qRT-PCR analyses, and at the protein level as indicated by enzyme assays. These results show that in redox-compromised MnSOD-deficient yeast cells, but not in wild-type cells, aspirin starves the mitochondria of acetyl-CoA and likely causes energy failure linked to mitochondrial damage, resulting in cell death. Since acetyl-CoA is one of the least-studied targets of aspirin in terms of the latter’s propensity to prevent cancer, this work may provide further mechanistic insight into aspirin’s chemopreventive behavior with respect to early stage cancer cells, which tend to have downregulated MnSOD and are also redox-compromised.

Introduction

Aspirin (acetylsalicylic acid, ASA) is a widely used anti-inflammatory, cardioprotective and antithrombotic drug that has, in recent years, been found to have promising chemopreventive, antineoplastic properties1,2,3. These are attributed not only to aspirin’s anti-inflammatory and anti-platelet effects, but also to its propensity to induce programmed cell death, such as apoptosis, in cancer cells2,4,5. The full range of mechanisms underlying aspirin-induced apoptosis of malignant cells is still not fully understood, and has aroused considerable research efforts involving the use of several eukaryotic experimental models. One such model is the yeast Saccharomyces cerevisiae, long used to study apoptosis in living organisms since it retains several core eukaryotic cellular processes, including the hallmark features of apoptosis6,7,8,9. In particular, yeast serves as a valuable tool to study mitochondria-associated regulated cell death10,11,12.

Since mitochondrial manganese superoxide dismutase (MnSOD) deficiency can reprogram cells to a cancer prone form of metabolism (Warburg effect)13, we decided to use the redox-compromised, MnSOD-deficient S. cerevisiae EG110 cells as a model of cancer cells. In fact, cancer cells tend to manifest downregulated MnSOD during the early stages of their development14,15,16 and are also redox-compromised17.

In our previous studies, aspirin reproducibly and robustly induced an apoptotic phenotype in MnSOD-deficient S. cerevisiae cells, but not in wild-type yeast cells, during aerobic growth in ethanol medium18,19,20,21. We also showed that the aspirin-induced apoptosis in redox-compromised MnSOD-deficient yeast cells is associated with severe mitochondrial dysfunction, including events such as overproduction of mitochondrial superoxide radicals (O2˙), oxidation of mitochondrial NAD(P)H21, decreased respiration, release of cytochrome c and disruption of the mitochondrial membrane potential20. Overall, these results indicated that the mitochondrial milieu constitutes a critical cellular target of aspirin.

In this study, we examined the effect of aspirin on the expression of genes involved in acetyl-coenzyme A (acetyl-CoA) generation and its transport into the mitochondria of MnSOD-deficient yeast cells growing aerobically on ethanol medium. Although acetyl-CoA is a metabolite of fundamental importance in eukaryotic organisms, since it drives the tricarboxylic acid (TCA) cycle required for energy generation, it remains one of the most poorly studied potential targets of aspirin in the context of the latter’s antineoplastic effects2. Hence, this work provides novel mechanistic insight into the metabolic changes associated with aspirin-mediated apoptosis. This may be of relevance to aspirin’s chemopreventive behavior in redox-compromised cancer cells during their early stages of development.

Methods

Yeast strains and plasmids

The yeast strains used in this study include the wild-type Saccharomyces cerevisiae EG103 (MATα leu2-3 112 his3Δ1 trp1-289a ura3-52 GAL+) and the MnSOD-deficient yeast strain EG110 (EG103 sod2 Δ:: TRP1), kindly provided by Edith Gralla, University of California, Los Angeles and Valeria C. Culotta, Johns Hopkins University, Baltimore.

ADH2-overexpression in yeast

To generate ADH2-overexpressing strains (EG103 pGPD-ADH2 and EG110 pGPD-ADH2) the constitutive glyceraldehyde-3-phosphate dehydrogenase promoter (pGPD) was introduced to the endogenous ADH2 locus according to the method described by Janke et al.22. The plasmid pYM-N15 served as the template to generate a linear PCR fragment with primers 5′-ACAAAAAGCATACAATCAACTATCAACTATTAACTATATCGTAATACACAATGCGTACGCTGCAGGTCGAC-3′(ADH2_S1) and 5′-TTGCCGTTGGATTCGTAGAAGATAATGGCTTTTTGAGTTTCTGGAATAGACATCGATGAATTCTCTGTCG-3′(ADH2_S4 primer). Strains carrying an HA-tagged version of Adh2 were generated by similar approaches using pYM-N16 (EG103 pGPD-3HA-ADH2 and EG110 pGPD-3HA-ADH2) or pYM-N14 (EG103 ADH2-6HA and EG110 ADH2-6HA) as templates and primers ADH2_S1 and ADH2_S4 or 5′-GGCATACTTGATAATGAAAACTATAAATCGTAAAGACATAAGAGATCCGCTTAATCGATGAATTCGAGCTCG-3′ (ADH2_S2) and 5′-AGATGGAGAAGGGCCAAATTGCTGGTAGATACGTTGTTGACACTTCTAAACGTACGCTGCAGGTCGAC-3′(ADH2_S3), respectively. Correct integration of linear DNA fragments was verified by colony PCR using primers 5′-CCTGTGTAACTGATTAATCCTGC-3′ (ADH2_up) and 5′-GTCGACCTGCAGCGTACG-3′ (S1/S3_reverse) for all N-terminal integrations and primers 5′-GGAAGAATTGTTTACCTCGCTC-3′ (ADH2 -fw) and S1/S3_reverse for C-terminal tagging.

Culture conditions

Yeast cells were aerobically cultivated in YPE medium (1% (w/v) yeast extract, 2% (w/v) bactopeptone and 3% (v/v) ethanol) in the absence and presence of 15 mM aspirin (acetylsalicylic acid, ASA) (Sigma-Aldrich), at 28 °C with constant shaking at 250 rpm. The pH of the aspirin-treated YPE medium was adjusted to 5.5 using 1 M Trizma base (Sigma-Aldrich), prior to inoculation. For plates, cells were cultivated on YPD medium (1% (w/v) yeast extract, 2% (w/v) bactopeptone and 2% (w/v) glucose) containing 2% (w/v) agar, at a sustained incubation temperature of 28 °C.

Measurement of cell growth and viability

Cell growth was measured as the optical density at 600 nm (OD600). Cell viability was measured by plating serial dilutions of yeast cell cultures onto YPD plates (500 cells per plate). The plates were left to incubate for at least 48 h at 28 °C after which colony forming units (cfus) were counted. The cfu counts of aspirin-treated cells were then presented as fold changes in viability by normalizing them to the cfu counts of untreated cells.

RNA preparation for microarrays

Yeast cells were aerobically cultivated for 48 h (mid-log phase) in YPE medium in both the absence and presence of 15 mM ASA, at a temperature of 28 °C with constant shaking at 250 rpm. Harvested yeast cells were mechanically lysed by beadmilling, using a micro-minibeadbeater (Biospec), in the presence of acid-washed glass beads (500 nm diameter) and lysis buffer (RLT) provided by the Qiagen RNeasy Mini Kit. Three cycles of 60 s beadmilling followed by 60 s of cooling on ice were carried out. Total yeast RNA was extracted and purified using the Qiagen RNeasy Mini Kit, according to the manufacturer’s instructions. The quantity and quality of total RNA was determined using a Thermo Scientific Nanodrop spectrophotometer and an Agilent Bioanalyzer. Moreover, the RNA samples were subjected to reverse transcription polymerase chain reaction (RT-PCR) in order to verify that they were suitable for complementary DNA (cDNA) synthesis and not significantly contaminated by guanidine salts or ethanol, which interfere with the downstream microarray hybridization. One microgram of the RNA was used to synthesize cDNA using a Quantitect Reverse Transcription Kit (Qiagen). The cDNA was probed for the constitutive, intron-spanning YRA1 gene using the custom-designed primers 5′-TGTCGGTGGTACTCGTGGTA-3′ (YRA1-F) and 5′-TAGTCCGCCATTTCCTTGTC-3′ (YRA1-R), at an annealing temperature of 54 °C, together with the Thermo Scientific 2X ReddyMix PCR Master Mix. The RT-PCR products were then visualized by electrophoresis on a 2% (v/v) agarose gel under UV light.

Microarray hybridization and data analysis

Preparation of complimentary RNA and subsequent hybridization to whole yeast genome microarrays were carried out using the GeneChip Yeast Genome 2.0 Array (Affymetrix). Normalization of the resulting microarray data was carried out using the robust multi-array average (RMA) method23, implemented with AltAnalyze Version 2.0.8.1 (University of Cincinnati).

Normalized log2-expression values, fold changes, moderated t-statistics and corresponding P-values were determined for the probe sets of every individual S. cerevisiae gene present on the microarray chip. Differentially expressed genes with Benjamini-Hochberg-adjusted P-values < 0.05 and fold changes ≥1.5 (in presence of ASA versus absence of ASA) were identified. Microarray hybridization and analysis were carried out on three biological replicates.

The normalized microarray data sets were used for principle components analysis (PCA) to identify correlations and outliers among individual aspirin-treated and untreated samples. The normalized datasets were further analyzed by hierarchical cluster analysis. Both PCA and hierarchical clustering were carried out using the online ClustVis web tool24.

Gene Ontology (GO) Analysis

Identification of enriched biological process, molecular function and cellular component GO categories was carried out by over-representation analysis (ORA) using GO-Elite software Version 1.2.6, which is integrated with AltAnalyze. Statistical significance of GO enrichment was determined using the Fisher Exact Test with a threshold P-value < 0.05.

All microarray datasets related to this study were deposited in the GEO (NCBI) repository and are accessible through the Accession number: GSE115660.

Microarray result validation by quantitative polymerase chain reaction (qRT-PCR)

The respective messenger RNA (mRNA) levels of differentially expressed S. cerevisiae target genes were determined by qRT-PCR to validate the microarray results. The extraction of total RNA from yeast cells, verification of its quality and the subsequent preparation of cDNA were carried out as described in a previous section. Each sample of resulting cDNA was probed in triplicate for target genes using the custom-designed oligonucleotide primer pairs (Integrated DNA Technologies) shown in Supplementary Table S1a. This was carried out by using the 2X Quantitect SYBR-Green PCR Master Mix (Qiagen) and Rotor Gene Q Thermocycler (Qiagen), according to the manufacturer’s instructions. Target gene expression in the samples was normalized against the geometric average expression of GLC7 and SMD2 reference genes as an internal control (Supplementary Table S1b). These reference genes exhibit constitutive expression which does not change significantly across the different experimental conditions of this study, including the absence and presence of ASA (Supplementary Table S2). The calculation, based on the ∆∆Ct method, of normalized relative quantities (NRQs) of target genes as a measure of their differential expression in yeast cells grown in the absence and presence of aspirin, was carried out using qbase + (Biogazelle). Differentially expressed genes with significant P-values < 0.05 and fold changes >1.5 (in presence of ASA versus absence of ASA) were identified. The qRT-PCR assays were carried out on three biological replicates.

Enzyme activity measurements

Yeast total cell extracts, cultivated for 48 h in ethanol medium in the absence and presence of aspirin, were prepared by beadmilling, using a micro-minibeadbeater (Biospec), in the presence of acid-washed glass beads (500 nm diameter). Alcohol dehydrogenase (ADH) activity was measured according to Vallee and Hoche25, acetyl-coenzyme A synthetase (ACS) activity was measured according to van den Berg et al.26 and carnitine acetyl transferase (CAT) enzyme activity was quantified according to Chase27. Peroxisomal citrate synthase activity was measured according to Srere28 in yeast cytosolic fractions previously isolated from the mitochondria according to Glick and Pon29. The protein concentrations of total and cytosolic yeast cell extracts were determined with the Pierce Bicinchoninic Acid Assay Kit (Pierce), using bovine serum albumin (BSA) as a protein standard.

Immunoblotting

Immunoblotting after sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) of the cytosolic fractions to confirm the absence of any mitochondrial protein, was carried out using standard protocols, with antibodies specific for yeast cytosolic glucose-6-phosphate dehydrogenase (anti-G6PD, Sigma-Aldrich, A9521, 1:7500) and mitochondrial heat shock protein 60 (anti-Hsp60, Abcam, ab59458, 1:1000).

Immunoblotting after SDS-PAGE of chemically lysed yeast30 was performed using standard protocols with antibodies specific for yeast glyceraldehyde-3-phosphate dehydrogenase (anti-GAPDH, ThermoFisher, MA5-15738, 1:10.000) and HA (Sigma, H9658, 1:10000).

Statistical analyses

Pairwise comparisons between treatments and controls were examined using the unpaired, two-tailed t-test (GraphPad Prism, Version 6.0). Multiple comparisons between treatments and controls were analyzed by one-way ANOVA with the post-hoc Bonferroni test. Where appropriate, the nonparametric Mann-Whitney U-test and Kruskal-Wallis test were applied to confirm the results of the t-tests and one-way ANOVA tests, respectively. Significance was accepted at a P-value < 0.05.

Results

Aspirin induces differential expression of genes involved in mitochondrial acetyl-CoA metabolism and transport

The mechanism of aspirin-induced mitochondrial deterioration is not fully understood. To further characterize changes upon aspirin insults, we performed a transcriptome analysis of MnSOD-deficient (EG110) and MnSOD-proficient (EG103) yeast cells grown in ethanol medium. Principle Components Analysis (PCA) (Fig. 1a) of the normalized EG110 and EG103 microarray datasets indicated tight clustering and distinct separation of redox-compromised EG110 biological replicates from wild-type EG103 biological replicates, with 87.8% of the variance mainly explained by principle component 1 (PC1). Likewise, distinct clustering of aspirin-treated versus untreated EG110 sample groups was observed along principal component 2 (PC2), with a variance of 4.8%. This distinct clustering of aspirin-treated versus untreated EG110 sample groups was corroborated by the hierarchical clustering heatmaps (Fig. 1b), showing that aspirin clearly induced a strong and uniform transcriptional change in mRNA expression of MnSOD-deficient EG110 replicates.

Figure 1
figure1

Principal components analysis (PCA) and heatmaps of normalized expression data obtained from redox-compromised EG110 yeast cells and wild-type EG103 yeast cells grown in ethanol medium in the absence and presence of aspirin. (a) Principle Component Analysis (PCA) two dimensional scatter plot of normalized expression data obtained from aspirin-treated (green and red dots) and untreated (control – purple and blue dots) samples of redox-compromised, MnSOD-deficient EG110 and wild-type EG103 yeast cells, respectively, cultivated for 48 h in ethanol medium. Three biological replicates of each were considered. Axis X = PC1: PCA Component 1 (87.8% variance) separating EG110 from EG103 yeast cells; Y = PC2: PCA Component 2 (4.8% variance) separating aspirin-treated cells from untreated cells. (b) Heatmap depicting differential gene expression due to aspirin in individual replicate samples of EG110 and EG103 yeast cells, as compared to untreated EG110 and EG103 yeast cells after 48 h of cultivation in ethanol medium. The heat map shows all genes that were significantly changed by aspirin in EG110 cells. The expression of these same genes was also followed in the wild-type EG103 cells, in the absence and presence of aspirin. Columns represent biological replicates, whereas rows represent genes. Gene expression levels are shown using a pseudocolour scale (−2.0 to 2.0) with red denoting high expression levels and blue denoting low expression levels.

The normalized, wild-type EG103 yeast microarray datasets also indicated distinct clustering and separation of aspirin-treated versus untreated biological replicates, along PC2 (Fig. 1a), corroborated by the accompanying heatmaps shown in Fig. 1b, which demonstrate that aspirin likewise altered mRNA transcription in EG103 yeast cells, but to a much lesser extent than in EG110 cells. In fact, follow-up application of Gene Ontology (GO) analysis for MnSOD-deficient EG110 cells (Fig. 2) and EG103 cells (Fig. 3) suggests that aspirin had a relatively much lower effect on the wild-type EG103 cells in comparison to their redox-compromised EG110 counterparts, given that relatively few GO categories were enriched by aspirin in the wild-type strain (Fig. 3).

Figure 2
figure2

Gene Ontology (GO) analysis of differentially expressed mRNA transcripts in aspirin (ASA)-treated MnSOD-deficient EG110 yeast cells. All statistically significant GO terms of downregulated (a) and upregulated (b) mRNA transcripts (>1.5-fold) in ASA-treated EG110 are shown, each belonging to one of the following GO categories: biological processes (blue bars), cellular components (yellow bars) or molecular function (red bars). The calculated -log10 (P-value) values reflect the statistical significance of each GO term enrichment. The genes selected for further study, which include ACS1, ADH2, CIT2, CAT2, YAT2 and AGP2 are associated with the enriched cellular ketone metabolic process ontology.

Figure 3
figure3

Gene Ontology (GO) analysis of differentially expressed mRNA transcripts in aspirin (ASA)-treated wild-type EG103 yeast cells. All statistically significant GO terms of downregulated (a) and upregulated (b) mRNA transcripts in ASA-treated EG103 cells are shown, each belonging to one of the following GO categories: biological processes (blue bars), cellular components (yellow bars) or molecular function (red bars). The calculated −log10 (P-value) values reflect the statistical significance of each GO term enrichment.

On the other hand, GO-analysis results obtained in MnSOD-deficient EG110 cells, additionally showed that aspirin significantly downregulated genes associated with at least 19 GO categories, the most strongly and significantly enriched being the ‘cellular ketone metabolic process’ (GO:0042180) ontology (Fig. 2), a category that did not appear enriched by aspirin in wild-type EG103 cells (Fig. 3). Aspirin-induced apoptosis involves mitochondria and mitochondrial metabolism-dependent processes18,20,21,31,32. In light of this, we selected a number of significantly downregulated genes associated with the enriched GO:0042180 category and involved in mitochondrial metabolism and metabolite transport (ADH2, ACS1, CAT2, YAT2, CRC1, CIT2, SFC1 and AGP2 - Fig. 2 and Table 1), to further study their role in aspirin-induced cell death. The microarrays indicated that these selected genes were significantly downregulated by aspirin in redox-compromised MnSOD-deficient EG110 cells, but not in wild-type EG103 cells, after 48 h of growth in ethanol medium (see Table 1). Acetyl-CoA is a metabolite of central importance in eukaryotic organisms such as respiring yeast, since it drives the TCA cycle in mitochondria to facilitate energy generation.

Table 1 Aspirin (ASA)-induced differential expression of genes involved in acetyl-CoA synthesis and transport into the mitochondria of Saccharomyces cerevisiae EG110 and EG103 yeast cells grown in ethanol medium.

Amongst the genes most significantly downregulated by aspirin in EG110 yeast cells, is the ACS1 gene encoding one of 2 isoforms of acetyl-CoA synthetases (Acs1) (2.72-fold downregulation, P < 0.001; Table 1). Acs1 is an important source of acetyl-CoA which relies on the upstream acetaldehyde-derived supply of acetate during yeast cell growth in ethanol medium26,33,34. Under these growth conditions, acetaldehyde is itself derived from the oxidation of ethanol, catalyzed by the Adh2 isoform of alcohol dehydrogenase, encoded by the gene ADH235,36, which was also markedly downregulated by aspirin in EG110 (3.01-fold downregulation, P < 0.001), but not in EG103 (MnSOD-proficient wild-type) yeast cells (Table 1).

During growth in non-fermentable media such as ethanol, acetyl-CoA molecules formed by peroxisomal and cytosolic acetyl-CoA synthetases must be converted into acetyl unit derivatives and shuttled into the mitochondria via the glyoxylate cycle and/or the carnitine shuttle37,38 in order to drive the TCA cycle. The microarray results indicated that the genes CIT2 and SFC1, encoding essential glyoxylate cycle pathway proteins38,39,40, and the genes CAT2, YAT2 and CRC1, which encode critical carnitine shuttle proteins41,42,43, were significantly downregulated in aspirin-treated EG110 (>1.5-fold downregulation, P < 0.001), but not in EG103, yeast cells (Table 1). This was also the case for AGP2, a gene encoding a yeast cell plasma membrane carnitine transporter protein, which facilitates cellular import of carnitine from the surrounding growth medium44.

The aspirin-induced differential expression of the aforementioned genes, as indicated by the microarrays, was validated by qRT-PCR analysis (Fig. 4) using primers listed in Supplementary Table S1.

Figure 4
figure4

Aspirin-induced log2 fold change expression of target genes in wild-type (EG103) and MnSOD-deficient (EG110) Saccharomyces cerevisiae yeast cells grown in the absence and presence of aspirin (ASA). The figure shows aspirin-induced log2 fold change expression of the target genes ADH2, ACS1, CAT2, YAT2, CRC1, CIT2, SFC1, and AGP2 in EG103 yeast cells (grey bars) and EG110 yeast cells (white bars), after 48 h of aerobic growth in YPE medium treated with 15 mM aspirin. Total RNA isolated from cultured yeast cells was analyzed by qRT-PCR using gene-specific primers (see Supplementary Table S1). In all cases, the expression of target genes was normalized against GLC7 and SMD2 reference genes using the comparative ∆∆Ct method in qbase + (Biogazelle). Results are the mean ± standard error of the mean (SEM), from three independent biological replicates. NS, not significant (P > 0.05); **, moderately significant (P < 0.01); ***, highly significant (P < 0.001); unpaired two-tailed t-test. ADH2 – Alcohol Dehydrogenase 2, ACS1 - Acetyl-CoA Synthetase 1; CIT2 – CITrate synthase 2; SFC1 – Succinate-Fumarate Carrier 1; CAT2, YAT2 – Carnitine AcetylTransferases, CRC1 – Carnitine Carrier 1, AGP2 – high-Affinity Glutamine Permease 2, GLC7 – GlyCogen 7, SMD2 - Core Sm protein Sm D2.

Altogether, the microarray and qRT-PCR results strongly suggest that in MnSOD-deficient EG110 yeast cells grown in ethanol medium, aspirin significantly reduces transcription of several acetyl-CoA metabolism-associated genes, potentially disrupting the pathways involved in cytosolic acetyl-CoA synthesis and its transport into the mitochondria.

Aspirin reduces the activities of key enzymes involved in acetyl-CoA synthesis and mitochondrial transport

Induced alterations in the expression profile of gene transcripts do not necessarily correlate with expression of their respective encoded proteins45. Moreover, post-translational modifications of encoded gene products are not taken into account by microarrays and qRT-PCR techniques. Hence, to verify the aspirin-induced impairment of acetyl-CoA metabolic pathways in EG110 yeast cells, as indicated by the microarray (Table 1) and qRT-PCR results (Fig. 4), the activities of enzymes encoded by the genes ACS1, CAT2, YAT2, CIT2 and ADH2 were measured in protein extracts of MnSOD-deficient EG110 and wild-type EG103 yeast cells grown for 48 h in ethanol medium, in the presence and absence of aspirin. These enzymes were selected for further investigation, using UV-visible spectrophotometric enzyme activity assays, on the basis of their importance in mediating acetyl-CoA synthesis and transport into the mitochondria.

In agreement with the microarray and qRT-PCR results, aspirin significantly decreased the overall acetyl-CoA synthetase enzyme activity in EG110, but not in EG103, yeast cells grown for 48 h in ethanol medium (Table 2). There are two known acetyl-CoA synthetase isoforms present in yeast cells - Acs1 and Acs2 (encoded respectively by ACS1 and ACS2)26,46. Both of these isoforms actively ligate acetate to CoA to yield acetyl-CoA, however, the expression of Acs1 is known to be heavily de-repressed in the absence of glucose and in cases where there is a prevalence of non-fermentable carbon sources, such as ethanol and acetate26,47. Moreover, the affinity of Acs1 for acetate is reported to be several times greater than that of the constitutively expressed Acs2 isoform, suggesting that Acs1 is primarily responsible for acetyl-CoA synthesis during growth on non-fermentable carbon sources such as ethanol26. This implies that the aspirin-induced decrease of acetyl-CoA synthetase activity observed in redox-compromised EG110 yeast cells, largely reflects an impairment of Acs1 activity. This does not necessarily exclude an accompanying aspirin-induced impairment of Acs2 activity. However, the aspirin-induced decline in ACS2 gene expression was less than 1.5-fold, as opposed to the 2.72-fold downregulation of ACS1.

Table 2 Enzyme activities in Saccharomyces cerevisiae cells grown for 48 h in ethanol medium in the absence and presence of aspirin (ASA)b.

Similarly, aspirin decreased the overall carnitine acetyltransferase (CAT) enzyme activity in redox-compromised EG110, but not in wild-type EG103, yeast cells (Table 2). Yeast CAT enzymes include Cat2 present in both the mitochondria and peroxisomes, together with Yat2 present in the cytosol. These enzymes participate in the transport of acetyl-CoA-derived acetyl groups (in the form of acetylcarnitine) from the peroxisomes and cytosol to the mitochondria, reconverting them to acetyl-CoA upon entry into the mitochondria, to drive the TCA cycle38,43,48. Hence, the reduced activity of CAT enzymes observed in aspirin-treated EG110 yeast cells indicates an aspirin-induced impairment of the carnitine shuttle pathway in these cells during growth in ethanol medium, as initially suggested by the microarray and qRT-PCR results.

Likewise, the activity of peroxisomal citrate synthase (Cit2) declined significantly in MnSOD-deficient EG110 yeast cells, but remained unaltered in wild-type EG103 yeast cells cultivated for 48 h in aspirin-treated ethanol medium (Table 2). The activity of Cit2 was measured in cytosolic extracts that were free of mitochondrial protein, as verified by immunoscreening (Supplementary Fig. S1). This was important since yeast mitochondria contain the citrate synthases Cit1 and Cit349,50, which would have interfered with the activity assay readings of peroxisomal Cit2 present in the cytosolic extracts.

The observed decrease of peroxisomal Cit2 activity in aspirin-treated EG110 yeast cells (Table 2) indicates that the glyoxylate cycle, which facilitates transport of acetyl-CoA-derived succinate (a TCA cycle intermediate) to the mitochondria38 is possibly impaired by aspirin much like the carnitine shuttle pathway.

Aspirin also caused a considerable decrease in Adh2 activity in MnSOD-deficient, redox-compromised EG110 yeast cells after 48 h of aerobic growth in ethanol medium, but not in wild-type EG103 cells (Table 2). This result corroborates the significant aspirin-induced downregulation of ADH2 expression in EG110, but not in EG103, yeast cells observed in the microarray and qRT-PCR results.

Increasing ADH2 expression has no effect on growth and survival of aspirin-treated MnSOD-deficient yeast cells

In view of the pronounced aspirin-induced suppression of ADH2 expression (3.01-fold downregulation, P < 0.001; Table 1) and Adh2 enzyme activity in MnSOD-deficient EG110 yeast cells (42% decreased activity, P < 0.01; Table 2), and taking into account the important upstream role of Adh2 in yeast acetyl-CoA synthesis during growth on ethanol medium35,51,52, we attempted to rescue the redox-compromised EG110 cells by increasing the expression of ADH2 (and consequently of active Adh2). The ADH2-overexpressing strains EG110 pGPD-ADH2, and the respective wild-type EG103 pGPD-ADH2 control, were constructed by replacing the endogenous promoter of ADH2 with the constitutive GPD promoter.

Immunoblot analysis of strains carrying HA fusion constructs of the Adh2 protein allowed us to compare the quantity of expressed Adh2 after growth of the cells in ethanol medium, in the absence and presence of aspirin. This assay indicated an aspirin-induced decrease of Adh2 expression in MnSOD-deficient EG110 cells (Fig. 5). However, the immunoblots also showed that the amount of expressed Adh2 was greater in strains containing the GPD promoter.

Figure 5
figure5

Representative immunoblot using a HA-specific antibody. EG103 is the wild-type strain, whilst EG110 is the MnSOD-deficient yeast strain. HA-tagged Adh2 (ADH2-6HA and pGPD-3HA-ADH2) strains were cultivated in YPE medium with or without ASA for 48 h and subjected to immunoblot analysis from whole cell extracts. The strains either carried the endogenous ADH2 promotor or the constitutive GPD promotor (pGPD) as indicated. Full-length blots are presented in Supplementary Fig. S5.

We next compared Adh2 activity of the Adh2-overexpressing strain to that of EG110 after 48 h of growth in aspirin-treated ethanol medium. As a result of the overexpression, EG110 pGPD-ADH2 cells sustained a constant level of Adh2 activity even in the presence of aspirin, whereas the EG110 cells did not (Fig. 6a).

Figure 6
figure6

Comparison of (a) alcohol dehydrogenase (Adh2) activity, (b) growth and (c) viability of EG110-pGPD-ADH2 to those of EG110 yeast cells, grown in ethanol medium (YPE) in the absence and presence of 15 mM aspirin (ASA). (a) Adh2 activity levels in total cell extracts of redox-compromised (MnSOD-deficient) Saccharomyces cerevisiae EG110 cells and recombinant EG110 pGPD-ADH2 cells (EG110 cells where the endogenous ADH2 gene promoter has been replaced with the yeast glyceraldehyde phosphate dehydrogenase (GPD) gene promoter) grown aerobically for 48 h in YPE medium at 28 °C, 250 rpm, in the absence (represented by the white bars) and presence (represented by the grey bars) of 15 mM ASA. Each vertical bar represents the mean of at least four experimental determinations of Adh2 activity. Error bars represent the standard error of the mean (SEM). NS, not significant (P > 0.05); **, moderately significant (P < 0.01); unpaired two-tailed t-test. (b) Growth curves of S. cerevisiae EG110 and EG110 pGPD-ADH2 cells during aerobic cultivation in YPE medium in the absence and presence of 15 mM ASA at 28 °C (with constant shaking at 250 rpm). Each point represents the average of at least three independent sets of absorbance readings, measured at a wavelength of 600 nm. Error bars represent the SEM and appear where sufficiently large. (c) Fold change in viability of EG110 and EG110 pGPD-ADH2 yeast cells grown in YPE medium in the absence and presence of aspirin, normalized against EG110 yeast cells grown in YPE medium, as determined from colony-forming unit (cfu) counts. Each vertical bar represents the mean of at least three independent determinations. Error bars represent the SEM. NS, not significant (P > 0.05); **, moderately significant (P < 0.01), (One-way ANOVA with Bonferroni post-hoc tests).

However, the sustained Adh2 enzyme activity did not confer any significant benefit, in terms of growth and survival, to EG110 pGPD-ADH2 cells, either in the absence or presence of aspirin (Fig. 6b,c). EG110 pGPD-ADH2 cells failed to show improved viability compared to EG110 yeast cells after treatment with aspirin (Fig. 6c).

Thus, restoring Adh2 activity alone was insufficient to prevent aspirin-induced toxicity in redox-compromised MnSOD-deficient yeast cells, even though Adh2-mediated ethanol oxidation into acetaldehyde lies upstream of acetyl-CoA synthesis36.

Discussion

The principal scope of this investigation was to further understand the mechanisms underlying aspirin-induced apoptosis, which takes place in redox-compromised MnSOD-deficient S. cerevisiae EG110 yeast cells, but not in wild-type EG103 yeast cells, after cultivation in ethanol medium18. With this aim in mind, we first carried out microarray studies to investigate potential aspirin-induced differential gene expression in EG110 and EG103 yeast cells, after 48 h of cultivation (early to mid-log phase). The distinct response to aspirin of these two strains, described in past studies carried out in our laboratory18,19,20, was indeed again made immediately apparent in our transcriptome analysis, which showed that aspirin altered the gene expression profile of EG110 cells to a greater and significantly different extent than that of EG103 cells (Figs 13). This is particularly true for genes involved in acetyl-CoA synthesis and transport (Table 1).

The dissimilarity in the magnitude of aspirin’s effect on EG110 versus EG103 gene expression profiles can be readily explained by the deficiency of the mitochondrial antioxidant enzyme MnSOD in mutant EG110 (but not in wild-type EG103) cells that imparts very distinct gene expression profiles to these two strains (Fig. 1). In fact, GO analysis revealed several enriched pathways in aspirin-untreated EG110 cells with respect to EG103 yeast cells (Supplementary Fig. S4). Interestingly, overall altered expression of genes due to genotypic differences between the two strains accounted for the greatest variance between all analyzed conditions (Fig. 1a). One can speculate that some of these genotype-induced transcriptional adaptations are involved in unfolding the sensitivity to aspirin in MnSOD-deficient EG110 cells. For instance, genes involved in acetyl-CoA synthesis and transport were altered due to the genotype differences, irrespective of aspirin treatment. Several of these genes were already reduced due to the genotype and thus, aspirin further aggravated their down-regulation (Table 1).

The microarray results presented in Table 1 and validated by qRT-PCR (Fig. 4) notably indicated that, in EG110 cells grown in ethanol medium, aspirin significantly downregulated the expression of genes involved in central energy metabolism, particularly in pathways of acetyl-CoA synthesis and metabolite transport to the mitochondria. Subsequent enzyme activity assays confirmed that aspirin markedly impaired the activity of a number of key enzymes required for these acetyl-CoA pathways in MnSOD-deficient cells, but not in wild-type cells. Prominent among these impaired enzymes are the ADH2-encoded isoform of alcohol dehydrogenase, Adh2, and the yeast acetyl-CoA synthetase (ACS) enzymes (Table 2). As illustrated in Fig. 7, these enzymes play crucial successive roles in the synthesis of acetyl-CoA in yeast cells grown in ethanol medium26,33,34,35,36. Whilst this is the first reported incidence of aspirin-induced inactivation of Adh2 and ACS activity in yeast, aspirin has been shown to exert an inhibitory effect on gastric alcohol dehydrogenase activity in humans53,54. Furthermore, the aspirin metabolite, salicylate, has been reported to impair mammalian medium-chain acyl-CoA synthetase activity in vitro55.

Figure 7
figure7

Aspirin-induced impairment of acetyl-CoA metabolism. Aspirin (ASA) downregulates genes involved in the synthesis (ADH2 and ACS1) and transport (such as CAT2, YAT2 and CIT2) of acetyl-CoA to the mitochondria and decreases the activity of their gene products in the MnSOD-deficient Saccharomyces cerevisiae EG110 cells (downregulated pathways shown in dotted red lines). ATP, adenosine triphosphate; CoA, coenzyme A; CoASH, reduced coenzyme A; FADH2, reduced flavin adenine dinucleotide; GC, glyoxylate cycle; GTP, guanosine triphosphate; MnSOD, manganese superoxide dismutase; NADH, reduced nicotinamide adenine dinucleotide; TCA, tricarboxylic acid cycle.

Likewise, in EG110 cells, aspirin impaired the activities of yeast carnitine acetyltransferases and peroxisomal citrate synthase (Table 2), which respectively play indispensable roles in the carnitine shuttle and glyoxylate pathways to facilitate transport of acetyl-CoA to the mitochondria37,38,43 (Fig. 7). Similar findings in mammalian cell models have shown that salicylates interfere with carnitine shuttle transport, by inactivation of carnitine acetyl transferases56 and sequestration of both carnitine and reduced coenzyme-A57.

Our results, therefore, indicate that in redox-compromised EG110 yeast cells grown in ethanol medium, aspirin heavily interfered with the synthesis of acetyl-CoA and its supply to the mitochondria. This could well account for the energy failure and widespread mitochondrial dysfunction previously observed in aspirin-treated MnSOD-deficient yeast cells, as indicated by a decreased respiratory rate, disrupted mitochondrial membrane potential, and release of cytochrome c20. Interestingly, since acetyl-CoA is essential for the acetylation status of chromatin histones58, inhibition of acetyl-CoA synthesis as indicated in this study might partly explain the downregulation of our genes of interest in aspirin-treated EG110 yeast cells (Table 1, Fig. 4). In support of this, Takahashi and colleagues59 showed that inactivation of ACS enzymes is followed by rapid histone deacetylation and significant downregulation of gene expression in yeast. More recent studies have shown that salicylate caused profound histone deacetylation in human leukemia, osteosarcoma and colorectal cancer cell lines60,61,62.

The aspirin-induced disruption of both acetyl-CoA synthesis and transport in EG110 yeast cells, may also have occurred as a consequence of dysfunctional mitochondria, already rendered prone to oxidative stress by their lack of MnSOD. Past work carried out in our laboratory has consistently shown that aspirin-induced apoptosis of MnSOD-deficient yeast cells is preceded by mitochondrial dysfunction-associated events20. Prominent among these is the accumulation of mitochondrial superoxide radicals, the attenuation of which (via introduction of Escherichia coli iron-superoxide dismutase into the mitochondria of EG110 yeast cells) was a key factor in averting aspirin-induced apoptosis21. Moreover, in the present study, the induced overexpression of active Adh2 (Fig. 6a), which was heavily impaired by aspirin (Table 2) and lies upstream of all other acetyl-CoA synthesis and transport pathways in yeast grown on ethanol medium36 (Fig. 7), failed to prevent aspirin-induced cell death (Fig. 6b,c). This result might suggest that aspirin-induced impairment of yeast Adh2 (Table 2) is due to underlying mitochondrial dysfunction, since activity of this enzyme is regulated by the functional state of mitochondria and is positively induced by metabolites involved in the TCA cycle63. In light of all of this, it is strongly implied that the mitochondrial milieu plays a critical role in aspirin-mediated EG110 cell death. In fact, it is not surprising that perhaps, due to the pleiotropic effects of aspirin, restoring activity of a single enzyme within the acetyl-CoA synthesis pathway from ethanol, such as with the overexpression of active Adh2 (Fig. 6a), was not sufficient to completely overcome aspirin-induced mitochondrial acetyl-CoA deficiency and cell death.

The suggested influence of aspirin on acetyl-CoA metabolic pathways in our redox-compromised yeast cells may provide the key for understanding the chemopreventive, antineoplastic effects of aspirin in early developing tumour cells, which also suffer increased oxidative stress and altered metabolism17,64,65,66. The depletion of acetyl-CoA by aspirin would very likely exert an apoptotic effect on target cancer cells, since acetyl-CoA plays a central role in critical cellular pathways such as energy generation and biosynthesis. For example, acetyl-CoA serves as a critical precursor substrate for the de novo synthesis of fatty acids mediated by cytosolic fatty acid synthase (FASN), known to be a central factor underlying the survival, uncontrolled proliferation and progression of numerous types of cancer cells67,68. The importance of acetyl-CoA metabolism in cancer cells is further underscored by studies which show that the rate of synthesis of acetyl-CoA, mediated by the mammalian cytosolic enzyme acetyl-CoA synthetase (ACSS2), is significantly elevated in several malignant cell lines67,68 in order to satisfy their high energy requirements, particularly under conditions of metabolic stress.

The strong reliance of cancer cells on metabolic pathways that supply acetyl-CoA, has recently raised interest in the potential use of antineoplastic agents targeting acetyl-CoA. For instance, studies have shown that targeted inhibition of ACSS2-mediated acetyl-CoA synthesis caused growth inhibition of cultured tumor cells and significantly reduced the growth and size of tumor xenografts in mice67. Likewise, targeted disruption of key carnitine shuttle enzymes mediating transport of acetyl-CoA to the cytosol of lymphoma cancer cells for fatty acid synthesis, was shown to cause a cytotoxic depletion of acetyl-CoA and growth inhibition in these cells69. In addition, cross-talk between acetylation and histone modifications strongly implicate acetyl-CoA in the regulation of chromatin acetylation and gene expression70,71. Hence, the strong association between aspirin and impairment of acetyl-CoA metabolism, highlighted in this study, merits further investigation in the context of aspirin’s anti-cancer properties.

References

  1. 1.

    Rothwell, P. M. et al. Effect of daily aspirin on long-term risk of death due to cancer: analysis of individual patient data from randomised trials. Lancet 377, 31–41, https://doi.org/10.1016/S0140-6736(10)62110-1 (2011).

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Alfonso, L., Ai, G., Spitale, R. C. & Bhat, G. J. Molecular targets of aspirin and cancer prevention. Br. J. Cancer. 111, 61–67, https://doi.org/10.1038/bjc.2014.271 (2014).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Cuzick, J. et al. Estimates of benefits and harms of prophylactic use of aspirin in the general population. Ann Oncol. 26, 47–57, https://doi.org/10.1093/annonc/mdu225 (2015).

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    Chan, A. T. et al. Aspirin in the chemoprevention of colorectal neoplasia: an overview. Cancer Prev. Res. (Phila). 5, 164–178, https://doi.org/10.1158/1940-6207.CAPR-11-0391 (2012).

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    Gurpinar, E., Grizzle, W. E. & Piazza, G. A. COX-independent mechanisms of cancer chemoprevention by anti-inflammatory drugs. Front Oncol. 3, 181, https://doi.org/10.3389/fonc.2013.00181 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Madeo, F., Fröhlich, E. & Fröhlich, K.-U. A yeast mutant showing diagnostic markers of early and late apoptosis. J. Cell Biol. 139, 729–734 (1997).

    CAS  Article  Google Scholar 

  7. 7.

    Carmona-Gutierrez, D. et al. Apoptosis in yeast: triggers, pathways, subroutines. Cell Death Differ. 17, 763–773, https://doi.org/10.1038/cdd.2009.219 (2010).

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Farrugia, G. & Balzan, R. Oxidative stress and programmed cell death in yeast. Front. Oncol. 64, 1–21, https://doi.org/10.3389/fonc.2012.00064 (2012).

    Article  Google Scholar 

  9. 9.

    Carmona-Gutierrez, D. et al. Guidelines and recommendations on yeast cell death nomenclature. Microbial Cell 5, 4–31, https://doi.org/10.15698/mic2018.01.607 (2018).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Eisenberg, T., Büttner, S., Kroemer, G. & Madeo, F. The mitochondrial pathway in yeast apoptosis. Apoptosis 12, 1011–23, https://doi.org/10.1007/s10495-007-0758-0 (2007).

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Galluzzi, L., Kepp, O. & Kroemer, G. Mitochondrial regulation of cell death: a phylogenetically conserved control. Microb. Cell 3, 101–108, https://doi.org/10.15698/mic2016.03.483 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Knorre, D. A., Sokolov, S. S., Zyrina, A. N. & Severin, F. F. How do yeast sense mitochondrial dysfunction? Microb. Cell 3, 532–539, https://doi.org/10.15698/mic2016.11.537 (2016).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Xu, Y. et al. Manganese superoxide dismutase deficiency triggers mitochondrial uncoupling and the Warburg effect. Oncogene 34, 4229–4237, https://doi.org/10.1038/onc.2014.355 (2015).

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Oberley, L. W. & Buettner, G. R. Role of superoxide dismutase in cancer: a review. Cancer Res. 39, 1141–1149 (1979).

    CAS  PubMed  Google Scholar 

  15. 15.

    Dhar, S. K., Tangpong, J., Chaiswing, L., Oberley, T. D. & St. Clair, D. K. Manganese superoxide dismutase is a p53-regulated gene that switches cancers between early and advanced stages. Cancer Res. 71, 6684–6695, https://doi.org/10.1158/0008-5472.CAN-11-1233 (2011).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Holley, A. K., Dhar, S. K. & St. Clair, D. K. Curbing cancer’s sweet tooth: is there a role for MnSOD in regulation of the Warburg effect? Mitochondrion 13, 170–188, https://doi.org/10.1016/j.mito.2012.07.104 (2013).

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Qin, Y., Dai, W., Wang, Y., Gong, X. G. & Lu, M. Fe-SOD cooperates with Nutlin3 to selectively inhibit cancer cells in vitro and in vivo. Biochem. Biophys. Res. Commun. 431, 169–175, https://doi.org/10.1016/j.bbrc.2013.01.001 (2013).

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Balzan, R. et al. Aspirin commits yeast cells to apoptosis depending on carbon source. Microbiology 150, 109–115, https://doi.org/10.1099/mic.0.26578-0 (2004).

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Sapienza, K. & Balzan, R. Metabolic aspects of aspirin-induced apoptosis in yeast. FEMS Yeast Res. 5, 1207–1213, https://doi.org/10.1016/j.femsyr.2005.05.001 (2005).

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Sapienza, K., Bannister, W. & Balzan, R. Mitochondrial involvement in aspirin- induced apoptosis in yeast. Microbiology 154, 2740–2747, https://doi.org/10.1099/mic.0.2008/017228-0 (2008).

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Farrugia, G., Bannister, W. H., Vassallo, N. & Balzan, R. Aspirin-induced apoptosis of yeast cells is associated with mitochondrial superoxide radical accumulation and NAD(P)H oxidation. FEMS Yeast Res. 13, 755–768, https://doi.org/10.1111/1567-1364.12075 (2013).

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Janke, C. et al. A versatile toolbox for PCR-based tagging of yeast genes: new fluorescent proteins, more markers and promoter substitution cassettes. Yeast 21, 947–962, https://doi.org/10.1002/yea.1142 (2004).

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Irizarry, R. A. et al. Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res. 31, e15, https://doi.org/10.1093/nar/gng015 (2003).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Metsalu, T. & Vilo, J. ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap. Nucleic Acids Research 43, 566–570, https://doi.org/10.1093/nar/gkv468 (2015).

    CAS  Article  Google Scholar 

  25. 25.

    Vallee, B. L. & Hoch, F. L. Yeast Alcohol Dehydrogenase, A Zinc Metalloenzyme. J. Am. Chem. Soc. 77, 821–82 (1955).

    CAS  Article  Google Scholar 

  26. 26.

    van den Berg, M. A. et al. The two acetyl-coenzyme A synthetases of Saccharomyces cerevisiae differ with respect to kinetic properties and transcriptional regulation. J. Biol. Chem. 271, 28953–28959, https://doi.org/10.1074/jbc.271.46.28953 (1996).

    Article  PubMed  Google Scholar 

  27. 27.

    Chase, J. F. A. Carnitine acetyltransferase from pigeon breast muscle. Methods Enzymol. 13, 387–393, https://doi.org/10.1016/0076-6879(69)13066-9 (1969).

    CAS  Article  Google Scholar 

  28. 28.

    Srere, P. A. Citrate Synthase: [EC 4.1.3.7. Citrate oxaloacetate-lyase (CoA-acetylating)]. Methods Enzymol 13, 3–11, https://doi.org/10.1016/0076-6879(69)13005-0 (1969).

    CAS  Article  Google Scholar 

  29. 29.

    Glick, B. S. & Pon, L. A. Isolation of highly purified mitochondria from Saccharomyces cerevisiae. Methods Enzymol. 260, 213–233, https://doi.org/10.1016/0076-6879(95)60139-2 (1995).

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Riezman, H. et al. Import of proteins into mitochondria: a 70 kilodalton outer membrane protein with a large carboxy-terminal deletion is still transported to the outer membrane. EMBO J. 2, 2161–2168 (1983).

    CAS  Article  Google Scholar 

  31. 31.

    Piqué, M. et al. Aspirin induces apoptosis through mitochondrial cytochrome c release. FEBS Lett. 480, 193–196, https://doi.org/10.1016/S0014-5793(00)01922-0 (2000).

    Article  PubMed  Google Scholar 

  32. 32.

    Raza, H., John, A. & Benedict, S. Acetylsalicylic acid-induced oxidative stress, cell cycle arrest, apoptosis and mitochondrial dysfunction in human hepatoma HepG2 cells. Eur. J. Pharmacol. 668, 15–24, https://doi.org/10.1016/j.ejphar.2011.06.016 (2011).

    CAS  Article  PubMed  Google Scholar 

  33. 33.

    Chen, Y., Siewers, V. & Nielsen, J. Profiling of cytosolic and peroxisomal acetyl- CoA metabolism in Saccharomyces cerevisiae. PLoS One 7, e42475, https://doi.org/10.1371/journal.pone.0042475 (2012).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Galdieri, L., Zhang, T., Rogerson, D., Lleshi, R. & Vancura, A. Protein acetylation and acetyl coenzyme a metabolism in budding yeast. Eukaryotic cell 13, 1472–1483, https://doi.org/10.1128/EC.00189-14 (2014).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Ciriacy, M. Genetics of alcohol dehydrogenase in Saccharomyces cerevisiae. II. Two loci controlling synthesis of the glucose-repressible ADH II. Mol. Gen. Genet. 138, 157–164 (1975).

    CAS  Article  Google Scholar 

  36. 36.

    Turcotte, B., Liang, X. B., Robert, F. & Soontorngun, N. Transcriptional regulation of nonfermentable carbon utilization in budding yeast. FEMS Yeast Res. 10, 2–13, https://doi.org/10.1111/j.1567-1364.2009.00555.x (2009).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Schmalix, W. & Bandlow, W. The ethanol-inducible YAT1 gene from yeast encodes a presumptive mitochondrial outer carnitine acetyltransferase. J. Biol. Chem 268, 27428–27439 (1993).

    CAS  PubMed  Google Scholar 

  38. 38.

    van Roermund, C. W., Elgersma, Y., Singh, N., Wanders, R. J. & Tabak, H. F. The membrane of peroxisomes in Saccharomyces cerevisiae is impermeable to NAD(H) and acetyl-CoA under in vivo conditions. EMBO J. 14, 3480–3486 (1995).

    Article  Google Scholar 

  39. 39.

    Palmieri, L. et al. Identification of the yeast ACR1 gene product as a succinate–fumarate transporter essential for growth on ethanol or acetate. FEBS Lett. 417, 114–118, https://doi.org/10.1016/S0014-5793(97)01269-6 (1997).

    CAS  Article  PubMed  Google Scholar 

  40. 40.

    Lewin, A. S., Hines, V. & Small, G. M. Citrate synthase encoded by the CIT2 gene of Saccharomyces cerevisiae is peroxisomal. Mol. Cell. Biol. 10, 1399–1405 (1990).

    CAS  Article  Google Scholar 

  41. 41.

    Elgersma, Y., van Roermund, C. W., Wanders, R. J. & Tabak, H. F. Peroxisomal and mitochondrial carnitine acetyltransferases of Saccharomyces cerevisiae are encoded by a single gene. EMBO J. 14, 3472–3479 (1995).

    CAS  Article  Google Scholar 

  42. 42.

    Palmieri, L. et al. Identification of the mitochondrial carnitine carrier in Saccharomyces cerevisiae. FEBS Lett. 462, 472–476, https://doi.org/10.1016/S0014-5793(99)01555-0 (1999).

    CAS  Article  PubMed  Google Scholar 

  43. 43.

    Swiegers, J. H., Dippenaar, N., Pretorius, I. S. & Bauer, F. F. Carnitine-dependent metabolic activities in Saccharomyces cerevisiae: three carnitine acetyltransferases are essential in a carnitine-dependent strain. Yeast 18, 585–595 (2001).

    CAS  Article  Google Scholar 

  44. 44.

    van Roermund, C. W., Hettema, E. H., van den Berg, M., Tabak, H. F. & Wanders, R. J. Molecular characterization of carnitine-dependent transport of acetyl- CoA from peroxisomes to mitochondria in Saccharomyces cerevisiae and identification of a plasma membrane carnitine transporter, Agp2p. EMBO J. 18, 5843–5852, https://doi.org/10.1093/emboj/18.21.5843 (1999).

    Article  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Dibra, H. K., Brown, J. E., Hooley, P. & Nicholl, I. D. Aspirin and alterations in DNA repair proteins in the SW480 colorectal cancer cell line. Oncol. Rep. 24, 37–46, https://doi.org/10.3892/or_00000826 (2010).

    CAS  Article  PubMed  Google Scholar 

  46. 46.

    Satyanarayana, T., Mandel, A. D. & Klein, H. P. Evidence for two immunologically distinct acetyl-CO-enzyme a synthetases in yeast. Biochim. et Biophys. Acta (BBA)-Enzymol. 341, 396–401, https://doi.org/10.1016/0005-2744(74)90232-0 (1974).

    CAS  Article  Google Scholar 

  47. 47.

    van den Berg, M. A. & Steensma, H. Y. ACS2, a Saccharomyces cerevisiae gene encoding acetyl-coenzyme A synthetase, essential for growth on glucose. Eur. J. Biochem. 231, 704–713 (1995).

    Article  Google Scholar 

  48. 48.

    Franken, J., Kroppenstedt, S., Swiegers, J. H. & Bauer, F. F. Carnitine and carnitine acetyltransferases in the yeast Saccharomyces cerevisiae: a role for carnitine in stress protection. Curr Genet. 53, 347–360, https://doi.org/10.1007/s00294-008-0191-0 (2008).

    CAS  Article  PubMed  Google Scholar 

  49. 49.

    Suissa, M., Suda, K. & Schatz, G. Isolation of the nuclear yeast genes for citrate synthase and fifteen other mitochondrial proteins by a new screening method. EMBO J. 3, 1773–1781 (1984).

    CAS  Article  Google Scholar 

  50. 50.

    Jia, Y. K., Bécam, A. M. & Herbert, C. J. The CIT3 gene of Saccharomyces cerevisiae encodes a second mitochondrial isoform of citrate synthase. Mol. Microbiol. 24, 53–59, https://doi.org/10.1046/j.1365-2958.1997.3011669.x (1997).

    CAS  Article  PubMed  Google Scholar 

  51. 51.

    Wills, C. Production of yeast alcohol dehydrogenase isoenzymes by selection. Nature 261, 26–29, https://doi.org/10.1038/261026a0 (1976).

    ADS  CAS  Article  PubMed  Google Scholar 

  52. 52.

    Russell, D. W., Smith, M., Williamson, V. M. & Young, E. T. Nucleotide sequence of the yeast alcohol dehydrogenase II gene. J. Biol. Chem. 258, 2674–2682 (1983).

    CAS  PubMed  Google Scholar 

  53. 53.

    Gentry, R. T. et al. Mechanism of the aspirin-induced rise in blood alcohol levels. Life Sci. 65, 2505–2512 (1999).

    CAS  Article  Google Scholar 

  54. 54.

    Lee, S. L. et al. Inhibition of human alcohol and aldehyde dehydrogenases by aspirin and salicylate: assessment of the effects on first-pass metabolism of ethanol. Biochem. Pharmacol. 95, 71–79, https://doi.org/10.1016/j.bcp.2015.03.003 (2015).

    CAS  Article  PubMed  Google Scholar 

  55. 55.

    Kasuya, F., Hiasa, M., Kawai, Y., Igarashi, K. & Fukui, M. Inhibitory effect of quinolone antimicrobial and nonsteroidal anti-inflammatory drugs on a medium chain acyl- CoA synthetase. Biochem. Pharmacol. 62, 363–367 (2001).

    CAS  Article  Google Scholar 

  56. 56.

    Vessey, D. A., Chen, W. & Ramsay, R. R. Effect of carboxylic acid xenobiotics and their metabolites on the activity of carnitine acyltransferases. Biochem. J. 279, 895–897 (1991).

    CAS  Article  Google Scholar 

  57. 57.

    Deschamps, D. et al. Inhibition by salicylic acid of the activation and thus oxidation of long chain fatty acids. Possible role in the development of Reye’s syndrome. J. Pharmacol. Exp. Ther. 259, 894–904 (1991).

    CAS  PubMed  Google Scholar 

  58. 58.

    Lee, T. I. et al. Redundant roles for the TFIID and SAGA complexes in global transcription. Nature 6787, 701–704, https://doi.org/10.1038/35015104 (2000).

    ADS  CAS  Article  Google Scholar 

  59. 59.

    Takahashi, H., MacCaffery, J. M., Irizarry, R. A. & Boeke, J. D. Nucleocytosolic acetyl-coenzyme A synthetase is required for histone acetylation and global transcription. Mol. Cell. 23, 207–217, https://doi.org/10.1016/j.molcel.2006.05.040 (2006).

    CAS  Article  PubMed  Google Scholar 

  60. 60.

    Shirakawa, K. et al. Salicylate, diflunisal and their metabolites inhibit CBP/p300 and exhibit anticancer activity. Elife, 5 https://doi.org/10.7554/eLife.11156 (2016).

  61. 61.

    Fernandez, H. R. & Lindén, S. K. The aspirin metabolite salicylate inhibits lysine acetyltransferases and MUC1 induced epithelial to mesenchymal transition. Scientific reports 7, 5626, https://doi.org/10.1038/s41598-017-06149-4 (2017).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  62. 62.

    Pietrocola, F. et al. Aspirin Recapitulates Features of Caloric Restriction. Cell Reports 22, 2395–2407, https://doi.org/10.1016/j.celrep.2018.02.024 (2018).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  63. 63.

    Wills, C. & Martin, T. Extracellular conditions affecting the induction of yeast alcohol dehydrogenase II. Biochim. Biophys. Acta 782, 274–284, https://doi.org/10.1016/0167-4781(84)90063-0 (1984).

    CAS  Article  PubMed  Google Scholar 

  64. 64.

    Warburg, O. On the origin of cancer cells. Science 123, 309–314 (1956).

    ADS  CAS  Article  Google Scholar 

  65. 65.

    El Sayed, S. M. et al. Warburg effect increases steady-state ROS condition in cancer cells through decreasing their antioxidant capacities (anticancer effects of 3-bromopyruvate through antagonizing Warburg effect). Med. Hypotheses 81, 866–870, https://doi.org/10.1016/j.mehy.2013.08.024 (2013).

    CAS  Article  PubMed  Google Scholar 

  66. 66.

    Konzack, A. & Kietzmann, T. Manganese superoxide dismutase in carcinogenesis: friend or foe? Biochem. Soc. Trans. 42, 1012–1016, https://doi.org/10.1042/BST20140076 (2014).

    CAS  Article  PubMed  Google Scholar 

  67. 67.

    Schug, Z. T. et al. Acetyl-CoA synthetase 2 promotes acetate utilization and maintains cancer cell growth under metabolic stress. Cancer Cell 27, 57–71, https://doi.org/10.1016/j.ccell.2014.12.002 (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  68. 68.

    Yoshii, Y., Furukawa, T., Saga, T. & Fujibayashi, Y. Acetate/acetyl-CoA metabolism associated with cancer fatty acid synthesis: overview and application. Cancer Lett. 356, 211–216, https://doi.org/10.1016/j.canlet.2014.02.019 (2015).

    CAS  Article  PubMed  Google Scholar 

  69. 69.

    Pacilli, A. et al. Carnitine- acyltransferase system inhibition, cancer cell death, and prevention of myc-induced lymphomagenesis. J. Natl. Cancer Inst. 105, 489–498, https://doi.org/10.1093/jnci/djt030 (2013).

    CAS  Article  PubMed  Google Scholar 

  70. 70.

    Marmorstein, R. & Roth, S. Y. Histone acetyltransferases: function, structure, and catalysis. Curr. Opin. Genet. Dev. 11, 155–161, https://doi.org/10.1016/S0959-437X(00)00173-8 (2001).

    CAS  Article  PubMed  Google Scholar 

  71. 71.

    Marmorstein, R. Structure and function of histone acetyltransferases. Cell. Mol. Life Sci. 58, 693–703, https://doi.org/10.1007/PL00000893 (2001).

    CAS  Article  PubMed  Google Scholar 

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Acknowledgements

We are grateful to Dr. Nikolai P. Pace for his technical advice on the extraction of RNA and use of the Bioanalyzer. This work was financed by the Malta Council for Science and Technology through the R&I Technology Development Programme (Project R & I-2015-001). We also would like to thank the University of Malta. F.M. is grateful to the Austrian Science Fund FWF (Austria) for grants P23490-B20, P29262, P24381, P29203 P27893, I1000, and “SFB Lipotox” (F3012), as well as to Bundesministerium für Wissenschaft, Forschung und Wirtschaft and the Karl-Franzens University for grant “Unkonventionelle Forschung” and grant DKplus Metabolic and Cardiovascular Diseases (W1226). FM acknowledges support from NAWI Graz and the BioTechMed-Graz flagship project “EPIAge”.

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G.F. carried out most of the laboratory work, produced the initial results dataset and drafted most of the manuscript. M.A., C.S. and A.S.G. contributed to the laboratory work and to the drafting of the manuscript. T.E., N.V., G.G. and F.M. contributed to the design of the experiments and in editing the manuscript. J.P. and V.B. helped with the microarray analysis and the statistics involved in interpretation of results. J.B. contributed to the statistical studies involved in microarray analysis. R.B. conceived the project, designed most of the experiments and contributed in writing the manuscript. All authors read the manuscript.

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Correspondence to Rena Balzan.

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Farrugia, G., Azzopardi, M., Saliba, C. et al. Aspirin impairs acetyl-coenzyme A metabolism in redox-compromised yeast cells. Sci Rep 9, 6152 (2019). https://doi.org/10.1038/s41598-019-39489-4

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