Hypoxia-induced increases in glucose uptake do not cause oxidative injury or advanced glycation end-product (AGE) formation in vascular endothelial cells

Sod1 integrates oxygen availability to redox regulate NADPH production and the thiol redoxome

Cu/Zn superoxide dismutase (Sod1) is a key antioxidant enzyme, and its importance is underscored by the fact that its ablation in cell and animal models results in oxidative stress; metabolic defects; and reductions in cell proliferation, viability, and lifespan. Curiously, Sod1 detoxifies superoxide radicals (O₂^•−) in a manner that produces an oxidant as byproduct, hydrogen peroxide (H₂O₂). While much is known about the necessity of scavenging O₂^•−, it is less clear what the physiological roles of Sod1-derived H₂O₂ are. We discovered that Sod1-derived H₂O₂ plays an important role in antioxidant defense by stimulating the production of NADPH, a vital cellular reductant required for reactive oxygen species scavenging enzymes, as well as redox regulating a large network of enzymes.

Cu/Zn superoxide dismutase (Sod1) is a highly conserved and abundant antioxidant enzyme that detoxifies superoxide (O₂^•−) by catalyzing its conversion to dioxygen (O₂) and hydrogen peroxide (H₂O₂). Using Saccharomyces cerevisiae and mammalian cells, we discovered that a major aspect of the antioxidant function of Sod1 is to integrate O₂ availability to promote NADPH production. The mechanism involves Sod1-derived H₂O₂ oxidatively inactivating the glycolytic enzyme, GAPDH, which in turn reroutes carbohydrate flux to the oxidative phase of the pentose phosphate pathway (oxPPP) to generate NADPH. The aerobic oxidation of GAPDH is dependent on and rate-limited by Sod1. Thus, Sod1 senses O₂ via O₂^•− to balance glycolytic and oxPPP flux, through control of GAPDH activity, for adaptation to life in air. Importantly, this mechanism for Sod1 antioxidant activity requires the bulk of cellular Sod1, unlike for its role in protection against O₂^•− toxicity, which only requires <1% of total Sod1. Using mass spectrometry, we identified proteome-wide targets of Sod1-dependent redox signaling, including numerous metabolic enzymes. Altogether, Sod1-derived H₂O₂ is important for antioxidant defense and a master regulator of metabolism and the thiol redoxome.

Insulin resistance disrupts cell integrity, mitochondrial function, and inflammatory signaling in lymphatic endothelium

OBJECTIVE

Lymphatic vessel dysfunction and increased lymph leakage have been directly associated with several metabolic diseases. However, the underlying cellular mechanisms causing lymphatic dysfunction have not been determined. Aberrant insulin signaling affects the metabolic function of cells and consequently impairs tissue function. We hypothesized that insulin resistance in LECs decreases eNOS activity, disrupts barrier integrity increases permeability, and activates mitochondrial dysfunction and pro-inflammatory signaling pathways.

METHODS

LECs were treated with insulin and/or glucose to determine the mechanisms leading to insulin resistance.

RESULTS

Acute insulin treatment increased eNOS phosphorylation and NO production in LECs via activation of the PI3K/Akt signaling pathway. Prolonged hyperglycemia and hyperinsulinemia induced insulin resistance in LECs. Insulin-resistant LECs produced less NO due to a decrease in eNOS phosphorylation and showed a significant decrease in impedance across an LEC monolayer that was associated with disruption in the adherence junctional proteins. Additionally, insulin resistance in LECs impaired mitochondrial function by decreasing basal-, maximal-, and ATP-linked OCRs and activated NF-κB nuclear translocation coupled with increased pro-inflammatory signaling.

CONCLUSION

Our data provide the first evidence that insulin resistance disrupts endothelial barrier integrity, decreases eNOS phosphorylation and mitochondrial function, and activates inflammation in LECs.

Understanding the Causes and Implications of Endothelial Metabolic Variation in Cardiovascular Disease through Genome-Scale Metabolic Modeling

High-throughput biochemical profiling has led to a requirement for advanced data interpretation techniques capable of integrating the analysis of gene, protein, and metabolic profiles to shed light on genotype-phenotype relationships. Herein, we consider the current state of knowledge of endothelial cell (EC) metabolism and its connections to cardiovascular disease (CVD) and explore the use of genome-scale metabolic models (GEMs) for integrating metabolic and genomic data. GEMs combine gene expression and metabolic data acting as frameworks for their analysis and, ultimately, afford mechanistic understanding of how genetic variation impacts metabolism. We demonstrate how GEMs can be used to investigate CVD-related genetic variation, drug resistance mechanisms, and novel metabolic pathways in ECs. The application of GEMs in personalized medicine is also highlighted. Particularly, we focus on the potential of GEMs to identify metabolic biomarkers of endothelial dysfunction and to discover methods of stratifying treatments for CVDs based on individual genetic markers. Recent advances in systems biology methodology, and how these methodologies can be applied to understand EC metabolism in both health and disease, are thus highlighted.