Marco E. Cabrera

Overexpression of the cytosolic form of phosphoenolpyruvate carboxykinase (GTP) in skeletal muscle repatterns energy metabolism in the mouse

Transgenic mice, containing a chimeric gene in which the cDNA for phosphoenolpyruvate carboxykinase (GTP) (PEPCK-C) (EC 4.1.1.32) was linked to the α-skeletal actin gene promoter, express PEPCK-C in skeletal muscle (1-3 units/g). Breeding two founder lines together produced mice with an activity of PEPCK-C of 9 units/g of muscle (PEPCK-Cmus mice). These mice were seven times more active in their cages than controls. On a mouse treadmill, PEPCK-Cmus mice ran up to 6 km at a speed of 20 m/min, whereas controls stopped at 0.2 km. PEPCK-Cmus mice had an enhanced exercise capacity, with a VO2max of 156 ± 8.0 ml/kg/min, a maximal respiratory exchange ratio of 0.91 ± 0.03, and a blood lactate concentration of 3.7 ± 1.0 mm after running for 32 min at a 25° grade; the values for control animals were 112 ± 21 ml/kg/min, 0.99 ± 0.08, and 8.1 ± 5.0 mm respectively. The PEPCK-Cmus mice ate 60% more than controls but had half the body weight and 10% the body fat as determined by magnetic resonance imaging. In addition, the number of mitochondria and the content of triglyceride in the skeletal muscle of PEPCK-Cmus mice were greatly increased as compared with controls. PEPCK-Cmus mice had an extended life span relative to control animals; mice up to an age of 2.5 years ran twice as fast as 6-12-month-old control animals. We conclude that overexpression of PEPCK-C repatterns energy metabolism and leads to greater longevity.

Role of O2 in regulation of lactate dynamics during hypoxia: Mathematical model and analysis

AbstractThe mechanistic basis of the relationship between O2 and lactate concentration in muscle is not fully understood. Although hypoxia can cause lactate (LA) accumulation, it is possible for LA accumulation to occur without hypoxia. Nevertheless, during conditions of low O2 availability, blood and tissue LA accumulation are used as indicators of hypoxia. To provide a framework for analyzing changes in energy metabolism and its regulation, we developed a mathematical model of human bioenergetics that links cellular metabolic processes to whole-body responses. Our model is based on dynamic mass balances and mechanistic kinetics in muscle, splanchnic and other body tissues for many substrates (glycogen, glucose, pyruvate, LA, O2, CO2, etc.) and control metabolites (e.g., ATP) through coupled reaction processes. Normal substrate concentrations in blood and tissues as well as model parameters are obtained directly or estimated indirectly from physiological observation in the literature. The model equations are solved numerically to simulate substrate concentration changes in tissues in response to disturbances. One key objective is to examine and quantify the mechanisms that control LA accumulation when O2 availability to the muscle is lowered. Another objective is to quantify the contribution of different tissues to an observed increase in blood lactate concentration. Simulations of system responses to respiratory hypoxia were examined and compared to physiological observations. Model simulations show patterns of change for substrates and control metabolites that behave similarly to those found experimentally. From the simulations, it is evident that a large decrease can occur in muscle O2 concentration, without affecting muscle respiration (

Modeling oxygenation in venous blood and skeletal muscle in response to exercise using near-infrared spectroscopy

U_{m,{\text{O}}_{\text{2}} }

Lactate metabolism during exercise: analysis by an integrative systems model.

) significantly. However, a small decrease in

A computational model of skeletal muscle metabolism linking cellular adaptations induced by altered loading states to metabolic responses during exercise

U_{m,{\text{O}}_{\text{2}} }

Role of NADH/NAD+ transport activity and glycogen store on skeletal muscle energy metabolism during exercise: in silico studies

(1%–2%) can result in a large increase in LA production (50%–100%). The cellular rate of oxygen consumption,