Cardiac Na+/H+ exchanger during post-natal development in the rat: Changes in mRNA expression and sarcolemmal activity

We examined Na+–H+exchanger isoform 1 (NHE-1) mRNA expression in ventricular myocardium and its correlation with sarcolemmal NHE activity in isolated ventricular myocytes, during postnatal development in the rat. The expression of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) mRNA did not change in ventricular myocardium between 2 and 42 days after birth. Therefore, at seven time points within that age range, GAPDH expression was used to normalize NHE-1 mRNA levels, as determined by reverse transcription polymerase chain reaction analysis. There was a progressive five-fold reduction in NHE-1 mRNA expression in ventricular myocardium from 2 days to 42 days of age. As an index of NHE activity, acid efflux rates (JH) were determined in single neonatal (2–4-day-old) and adult (42-day-old) ventricular myocytes (n=16/group) loaded with the pH fluoroprobe carboxy-seminaphthorhodafluor-1. In HEPES-buffered medium, basal intracellular pH (pHi) was similar at 7.28±0.02 in neonatal and 7.31±0.02 in adult myocytes, but intrinsic buffering power was lower in the former age group. The rate at which pHirecovered from a similar acid load was significantly greater in neonatal than in adult myocytes (0.36±0.07v0.16±0.02 pH units/min at pHi=6.8). This was reflected by a significantly greaterJH(22±4v9±1 pmol/cm2/s at pHi=6.8), indicating greater sarcolemmal NHE activity in neonatal myocytes. The concomitant reductions in tissue NHE-1 mRNA expression and sarcolemmal NHE activity suggest that myocardial NHE-1 is subject to regulation at the mRNA level during postnatal development.

Cardioprotective effects of insulin: how intensive insulin therapy may benefit cardiac surgery patients

Interest in the effects of insulin on the heart came with the recognition that hyperglycemia in the context of myocardial infarction is associated with increased risks of mortality, congestive heart failure, or cardiogenic shock. More recently, instigated by research findings on stress hyperglycemia in critical illness, this interest has been extended to the influence of insulin on clinical outcome after cardiac surgery. Even in nondiabetic individuals, stress hyperglycemia commonly occurs as a key metabolic response to critical illness, eg, after surgical trauma. It is recognized as a major pathophysiological feature of organ dysfunction in the critically ill. The condition stems from insulin resistance brought about by dysregulation of key homeostatic processes, which implicates immune/inflammatory, endocrine, and metabolic pathways. It has been associated with adverse clinical outcomes, including increased mortality, increased duration of mechanical ventilation, increased intensive care unit (ICU) and hospital stay, and increased risk of infection. Hyperglycemia in critical illness is managed with exogenous insulin as standard treatment; however, there is considerable disagreement among experts in the field as to what target blood glucose level is optimal for the critically ill patient. Conventionally, the aim of insulin therapy has been to maintain blood glucose levels below the renal threshold, typically 220 mg/dL (12.2 mmol/L). In recent years, some have advocated tight glycemic control (TGC) with intensive insulin therapy (IIT) to normalize blood glucose levels to within the euglycemic range, typically 80 to 110 mg/dL (4.4–6.1 mmol/L).

Temporal constraints on linear BRDF model parameters

Linear models of bidirectional reflectance distribution are useful tools for understanding the angular variability of surface reflectance as observed by medium-resolution sensors such as the Moderate Resolution Imaging Spectrometer. These models are operationally used to normalize data to common view and illumination geometries and to calculate integral quantities such as albedo. Currently, to compensate for noise in observed reflectance, these models are inverted against data collected during some temporal window for which the model parameters are assumed to be constant. Despite this, the retrieved parameters are often noisy for regions where sufficient observations are not available. This paper demonstrates the use of Lagrangian multipliers to allow arbitrarily large windows and, at the same time, produce individual parameter sets for each day even for regions where only sparse observations are available.