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. 2023 Nov 28:12:e86260.
doi: 10.7554/eLife.86260.

Autonomous metabolic reprogramming and oxidative stress characterize endothelial dysfunction in acute myocardial infarction

Affiliations

Autonomous metabolic reprogramming and oxidative stress characterize endothelial dysfunction in acute myocardial infarction

Erika Zodda et al. Elife. .

Abstract

Compelling evidence has accumulated on the role of oxidative stress on the endothelial cell (EC) dysfunction in acute coronary syndrome. Unveiling the underlying metabolic determinants has been hampered by the scarcity of appropriate cell models to address cell-autonomous mechanisms of EC dysfunction. We have generated endothelial cells derived from thrombectomy specimens from patients affected with acute myocardial infarction (AMI) and conducted phenotypical and metabolic characterizations. AMI-derived endothelial cells (AMIECs) display impaired growth, migration, and tubulogenesis. Metabolically, AMIECs displayed augmented ROS and glutathione intracellular content, with a diminished glucose consumption coupled to high lactate production. In AMIECs, while PFKFB3 protein levels of were downregulated, PFKFB4 levels were upregulated, suggesting a shunting of glycolysis towards the pentose phosphate pathway, supported by upregulation of G6PD. Furthermore, the glutaminolytic enzyme GLS was upregulated in AMIECs, providing an explanation for the increase in glutathione content. Finally, AMIECs displayed a significantly higher mitochondrial membrane potential than control ECs, which, together with high ROS levels, suggests a coupled mitochondrial activity. We suggest that high mitochondrial proton coupling underlies the high production of ROS, balanced by PPP- and glutaminolysis-driven synthesis of glutathione, as a primary, cell-autonomous abnormality driving EC dysfunction in AMI.

Keywords: cardiovascular diseases; endothelial; human; medicine; metabolism.

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Conflict of interest statement

EZ, OT, NM, JT, MC, TT, MC No competing interests declared

Figures

Figure 1.
Figure 1.. AMI-derived endothelial cells (AMIECs) display impaired growth and migration.
(A) Bright field images of human coronary artery endothelial cells (HCAECs) (left panels) vs. AMIECs (right panels), captured under 10 x and 20 x objectives on a Leica microscope. (B) Representative Western blotting experiments for the endothelial markers, PECAM-1, V-CAM1, CD-34, and CD-10 (Figure 1—source data 1 and 2). (C) Growth rate of AMIECs and control HCAEC, expressed as fold change relative to initial cell number seeded. Error bars represent mean ± SD (n=3). (D) Cell cycle analysis of AMIECs and HCAECs under logarithmic growth conditions, showing a non-significant trend for AMIECs to accumulate G1 phase as compared to HCAEC. Error bars represent mean ± SD (n=3). (E) Representative images of Mito C-treated migration in scratch wound assays, showing reduced migration of AMIECs compared to control HCAECs. (F) Quantification of cell migration in scratch wound assays, represented as % of wound closure. Values are mean ± SD (n=3). Student’s t-test significance values were calculated for AMIECs vs. HCAEC: *p≤0.05 **p≤0.01, ***p≤0.001.
Figure 2.
Figure 2.. Defective tubulogenesis of AMI-derived endothelial cells (AMIECs).
(A) Endothelial tube network formation after 12 hr of VEGF stimulation. Shown are representative bright field images from triplicate experiments. Scale bar = 100 μm. (B) Tube branch point quantification of images from experiments performed as in (A). Values are mean ± SD (n=3). Student’s t-test significance values were calculated for AMIECs vs. human coronary artery endothelial cell (HCAEC): *p≤0.05 **p≤0.01, ***p≤0.001. (C) Correlation between relative migration (Figure 1F) and tubulogenesis in AMIECs and HCAECs.
Figure 3.
Figure 3.. AMI-derived endothelial cells (AMIECs) display low glucose consumption and high lactate production.
(A) Glucose consumption and Lactate production have been measured after 48 hr. (B) Conversion rate of glucose to lactate. Error bars represent mean ± SD (n=3). Student’s t-test significance values were calculated for AMIECs vs. Human coronary artery endothelial cell (HCAECs): *p≤0.05 **p≤0.01, and ***p≤0.001.
Figure 4.
Figure 4.. AMI-derived endothelial cells (AMIECs) shunt glycolysis towards pentose phosphate pathway (PPP) and NADPH generation.
(A) Representative Western blotting of PFKFB3 and PFKFB4 in AMIECs and human coronary artery endothelial cells (HCAECs) (Figure 4—source data 1 ). (B) Quantification of band intensities for PFKFB3 and PFKFB4 in triplicate western blotting experiments, normalized to β-actin band intensities. Values are mean ± SD (n=3). (C) Representative Western blotting for glucose-6-phosphate dehydrogenase (G6PD) in AMIECs and HCAECs (Figure 4—source data 2). (D) Quantification of band intensities for G6PD in triplicate Western blotting experiments, normalized to β-actin band intensities. (E) G6PD enzyme activities normalized to intracellular protein content (n=3). (F) Reactive oxygen species (ROS) levels are determined by flow cytometry. Results are expressed as the mean fluorescent intensity. (G) Total intracellular reduced glutathione content. Values are normalized to cellular protein concentration. Error bars represent mean ± SD (n=3). For all experiments, Student’s t-test significance values were calculated for AMIECs vs. HCAECs: *p≤0.05 **p≤0.01, and ***p≤0.001.
Figure 5.
Figure 5.. AMI-derived endothelial cells (AMIECs) display a strong glutamine metabolism.
(A) Glutamine and glucose production levels in cell culture medium after 48 hr. Negative values reflect net consumption. (B) Representative Western blotting experiments in AMIECs and human coronary artery endothelial cells (HCAECs) for the two major isoforms of GLS1, kidney-type glutaminase (KGA), and glutaminase C (GAC), using isoform-specific antibodies (Figure 5—source data 1). (C) Quantification of band intensities for KGA and GAC in triplicate western blotting experiments, normalized to β-actin band intensities. (D) Ratio of KGA vs. GAC isoform expression levels, calculated from the actin-normalized band intensities quantitated in (C). (E) Intracellular amino acid levels (F) Glutamate and glutamine production levels in cell culture medium after 48 hr. Negative values reflect net consumption. (G) Glutamine/glutamate consumption ratio. (H) Mitochondrial metabolic potential of AMIECs and control HCAEC cells. Cells were stained with 50 nM DiIC1(5) without or with 50 µM carbonyl cyanide 3-chlorophenylhydrazone (CCCP). Error bars represent mean ± SD (n=3). For all experiments, Student’s t-test significance values were calculated for AMIECs vs. HCAECs: *p≤0.05 **p≤0.01, and ***p≤0.001.

Update of

  • doi: 10.1101/2023.02.28.530418

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