Acute Carnosine Administration Increases Respiratory Chain Complexes and Citric Acid Cycle Enzyme Activities in Cerebral Cortex of Young Rats.

Carnosine (ß-alanyl-L-histidine) is an imidazole dipeptide synthesized in excitable tissues of many animals, whose biochemical properties include carbonyl scavenger, anti-oxidant, bivalent metal ion chelator, proton buffer, and immunomodulating agent, although its precise physiological role(s) in skeletal muscle and brain tissues in vivo remain unclear. The aim of the present study was to investigate the in vivo effects of acute carnosine administration on various aspects of brain bioenergetics of young Wistar rats. The activity of mitochondrial enzymes in cerebral cortex was assessed using a spectrophotometer, and it was found that there was an increase in the activities of complexes I-III and II-III and succinate dehydrogenase in carnosine-treated rats, as compared to vehicle-treated animals. However, quantitative real-time RT-PCR (RT-qPCR) data on mRNA levels of mitochondrial biogenesis-related proteins (nuclear respiratory factor 1 (Nrf1), peroxisome proliferator-activated receptor-γ coactivator 1-α (Ppargc1α), and mitochondrial transcription factor A (Tfam)) were not altered significantly and therefore suggest that short-term carnosine administration does not affect mitochondrial biogenesis. It was in agreement with the finding that immunocontent of respiratory chain complexes was not altered in animals receiving carnosine. These observations indicate that acute carnosine administration increases the respiratory chain and citric acid cycle enzyme activities in cerebral cortex of young rats, substantiating, at least in part, a neuroprotector effect assigned to carnosine against oxidative-driven disorders.

Screening of dioxin-like compounds by complementary evaluation strategy utilising ELISA, micro-EROD, and HRGC-HRMS in soil and sediments from Montevideo, Uruguay.

Polychlorinated dibenzo-p-dioxins (PCDD) and dibenzofurans (PCDF) are persistent, toxic, and bioaccumulate in the environment. Due to their high analytical costs, these compounds are hardly regulated and mostly not monitored in the Third World. To overcome this, bioassays have been proposed as low-cost alternative methods. Two of the most established bioanalytical tools, the dioxin antibody-based enzyme-linked immunosorbent assay ELISA and the micro-EROD bioassay are evaluated and compared to high resolution gas chromatography and high resolution mass spectrometry (HRGC/HRMS) analytical methodology. The methods were tested using thirteen soils and sediment samples selected from diverse sites in Montevideo, Uruguay. The WHO2005 total toxic equivalent (WHO2005-TEQ) of soils ranged from 2.4 to 2212 (ng WHO2005-TEQ/kg dry sample) and from 0.14 to 9.4 (ng WHO2005-TEQ/kg dry sample) in sediments. This study shows significant contamination related to dioxin-like compounds, particularly in sites where uncontrolled burnings were carried out. ELISA and micro-EROD bioassay correlated well with HRGC/HRMS, R Spearman 0.773 and 0.913, respectively and were highly correlated to each other, R Spearman 0.879. Preliminary threshold values of bioassay toxic equivalents of 330 (ng/kg dry sample) for the micro-EROD bioassay and 220 (ng/kg dry sample) for ELISA are proposed.

Effect of nesiritide in patients with acute decompensated heart failure.

BACKGROUND: Nesiritide is approved in the United States for early relief of dyspnea in patients with acute heart failure. Previous meta-analyses have raised questions regarding renal toxicity and the mortality associated with this agent. METHODS: We randomly assigned 7141 patients who were hospitalized with acute heart failure to receive either nesiritide or placebo for 24 to 168 hours in addition to standard care. Coprimary end points were the change in dyspnea at 6 and 24 hours, as measured on a 7-point Likert scale, and the composite end point of rehospitalization for heart failure or death within 30 days. RESULTS: Patients randomly assigned to nesiritide, as compared with those assigned to placebo, more frequently reported markedly or moderately improved dyspnea at 6 hours (44.5% vs. 42.1%, P=0.03) and 24 hours (68.2% vs. 66.1%, P=0.007), but the prespecified level for significance (P≤0.005 for both assessments or P≤0.0025 for either) was not met. The rate of rehospitalization for heart failure or death from any cause within 30 days was 9.4% in the nesiritide group versus 10.1% in the placebo group (absolute difference, -0.7 percentage points; 95% confidence interval [CI], -2.1 to 0.7; P=0.31). There were no significant differences in rates of death from any cause at 30 days (3.6% with nesiritide vs. 4.0% with placebo; absolute difference, -0.4 percentage points; 95% CI, -1.3 to 0.5) or rates of worsening renal function, defined by more than a 25% decrease in the estimated glomerular filtration rate (31.4% vs. 29.5%; odds ratio, 1.09; 95% CI, 0.98 to 1.21; P=0.11). CONCLUSIONS: Nesiritide was not associated with an increase or a decrease in the rate of death and rehospitalization and had a small, nonsignificant effect on dyspnea when used in combination with other therapies. It was not associated with a worsening of renal function, but it was associated with an increase in rates of hypotension. On the basis of these results, nesiritide cannot be recommended for routine use in the broad population of patients with acute heart failure. (Funded by Scios; ClinicalTrials.gov number, NCT00475852.).

Vertical distribution of organochlorine pesticides in humus along Alpine altitudinal profiles in relation to ambiental parameters.

In forest soils along vertical profiles located in different parts of the Alps, concentrations of persistent organic pollutants (POPs), namely organochlorine pesticides (OCPs) like dichlorodiphenyltrichloroethanes (DDTs), hexachlorobenzene (HCB), hexachlorocyclohexanes (HCH), heptachlor, aldrin, dieldrin and mirex, were measured. Though local characteristics of the sites are influenced by numerous factors like orographic and meteorological parameters, forest stand characteristics and humus parameters, we ascertained a marked vertical increase of concentrations of some organochlorine compounds in the soil. On the basis of climatological values of each site, we found that the contamination increase with altitude can be ascribed to a certain 'cold condensation effect'. In addition, the perennial atmospheric deposition of POPs is controlled by precipitation. Other key parameters explaining the accumulation of POPs are the soil organic carbon stocks, the turnover times, the re-volatilisation and degradation processes, which vary with altitude.

Long-term air monitoring of organochlorine pesticides using Semi Permeable Membrane Devices (SPMDs) in the Alps.

Atmospheric sampling of organochlorine pesticides (OCPs) was conducted using Semi Permeable Membrane Devices (SPMDs) deployed in the Alps at different altitudinal transects for two consecutive exposure periods of half a year and a third simultaneous year-long period. Along all the altitude profiles, the sequestered amounts of OCPs increased in general with altitude. SPMDs were still working as kinetic samplers after half a year for the majority of the OCPs. However, compounds with the lowest octanol-air partition coefficient (K(oa)), reached equilibrium within six months. This change in the SPMD uptake was determined for the temperature gradient along the altitude profile influencing K(oa), OCPs availability in the gaseous phase, and SPMD performance. In sum, it seems two effects are working in parallel along the altitude profiles: the change in SPMD performance and the different availability of OCPs along the altitudinal transects determined by their compound properties and concentrations in air.

A comparison of Alpine emissions to forest soil and spruce needle loads for persistent organic pollutants (POPs).

The project MONARPOP analysed the concentrations of semivolatile organic compounds (SVOCs) in two important sink compartments, needles of Norway spruce (Picea abies [L.] Karst.) and forest soil from 40 remote Alpine forest sites in Austria, Germany, Italy, Slovenia and Switzerland. In the present study the load of PCDD/F, PCB, PBDE, PAH, HCB, HCH and DDT in the Alps calculated on the basis of measured data are compared with their estimated emissions in the Alpine region. It comes out that the masses of the studied pollutants stored in the forests are higher than the corresponding emissions in the Alpine area indicating that the Alps are a sink for POPs advected from surrounding areas. It is assumed that local emissions of PCDD/F and PAH deriving from biomass burning are probably underestimated and that the pool of these pollutants in the forests represents the accumulation over some decades.

Monitoring of PCDD/Fs in a mountain forest by means of active and passive sampling.

Polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/F) are sampled and investigated in a forested area in Middle-Europe. The campaigns, consisting in active and passive samplings, were conducted in the Bavarian and Bohemian Forest at four sites chosen for their similar soil and forest stand characteristics. Passive sampling was conducted using both semi-permeable membrane devices (SPMDs) and needles of well-exposed dominant spruce trees. Active air sampling was also performed at one site with a low volume air sampler. Correlations were performed to identify relationships and trends of PCDD/F. Lower chlorinated PCDD/F are accumulated in SPMDs, needles collected all compounds among homologues and their PCDD/F pattern is close to that of active sampling. Results of the analysed compounds obtained with the different sampling methods served as a basis for the establishment of advantages and disadvantages of the sampling tools applied and their possible optimisation.

The formation of neural codes in the hippocampus: trace conditioning as a prototypical paradigm for studying the random recoding hypothesis.

The trace version of classical conditioning is used as a prototypical hippocampal-dependent task to study the recoding sequence prediction theory of hippocampal function. This theory conjectures that the hippocampus is a random recoder of sequences and that, once formed, the neuronal codes are suitable for prediction. As such, a trace conditioning paradigm, which requires a timely prediction, seems by far the simplest of the behaviorally-relevant paradigms for studying hippocampal recoding. Parameters that affect the formation of these random codes include the temporal aspects of the behavioral/cognitive paradigm and certain basic characteristics of hippocampal region CA3 anatomy and physiology such as connectivity and activity. Here we describe some of the dynamics of code formation and describe how biological and paradigmatic parameters affect the neural codes that are formed. In addition to a backward cascade of coding neurons, we point out, for the first time, a higher-order dynamic growing out of the backward cascade-a particular forward and backward stabilization of codes as training progresses. We also observe that there is a performance compromise involved in the setting of activity levels due to the existence of three behavioral failure modes. Each of these behavioral failure modes exists in the computational model and, presumably, natural selection produced the compromise performance observed by psychologists. Thus, examining the parametric sensitivities of the codes and their dynamic formation gives insight into the constraints on natural computation and into the computational compromises ensuing from these constraints.

Estradiol increases delayed, N-methyl-D-aspartate receptor-mediated excitation in the hippocampal CA1 region.

Hippocampal functions, e.g. synaptic plasticity and hippocampal-dependent behavior, are influenced by the circulating levels of ovarian steroids in adult, female rats. The mechanisms underlying this estradiol-dependent modulation, however, are poorly understood. One possibility is that estradiol alters N-methyl-D-aspartate (NMDA)-receptor functioning in the hippocampus. Here, using the in vitro hippocampal slice preparation, we evaluate estradiol-dependent changes in the NMDA receptor- and the alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor-mediated components of excitatory postsynaptic potentials (EPSPs) evoked in CA1 by Schaffer collateral test stimulation. Using established experimental conditions [J Neurosci 17 (1997) 1848], we replicate the observation that estradiol pretreatment of ovariectomized rats increases a pharmacologically isolated NMDA receptor-mediated EPSP evoked by Schaffer collateral stimulation. However, using different conditions that optimize study of this evoked response, the estradiol-dependent increase in the monosynaptic NMDA receptor-mediated EPSP is eliminated. Low-intensity test stimulation of the Schaffer collaterals in this optimized medium reveals a novel, late NMDA receptor-mediated EPSP in CA1 from estradiol-pretreated rats. The mechanism(s) underlying this estradiol-dependent increase in a late, NMDA receptor-mediated EPSP is not known, but enhanced CA1-CA1 excitatory circuitry and glutamate spillover could contribute to this response. We conclude that estradiol pretreatment enhances NMDA receptor function in the female hippocampus by increasing not the monosynaptic, but rather a late NMDA receptor-mediated response. Variations in the magnitude of this late response may well contribute to ovarian steroid-dependent modulation of hippocampal synaptic plasticity.

Quantal synaptic failures enhance performance in a minimal hippocampal model.

Despite the fact that animals are not optimal, natural selection is an optimizing process that can readily control small bits and pieces of organisms. It is for this reason that we need to explain certain parameters as found in Nature (e.g., number of neurons and their average activity) to fully understand the biological basis of cognition. In this optimizing sense, the failure of quantal synaptic transmission is problematic because this process incurs information loss at each synapse which seems like a bad thing for information processing. However, recent work based on an information-theoretic analysis of a single neuron suggests that such losses can be tolerated and lead to energy savings. Here we study computational simulations of a hippocampal model as a function of failure rate. We find that the failure process actually enhances some indices of performance when the model is required to solve the hippocampally dependent task of transverse patterning or when it is required to learn a simple sequence. Adding the random process of synaptic failures to the recurrent CA3-to-CA3 excitatory connections results in simulations that are more robust to parametric settings. Not only is the model more robust when synaptic failures are part of the model but there is a notable increase of sequence length memory capacity. Also, the failure process combined with additional neurons allows lower activity settings while still remaining compatible with learning the transverse patterning task. Indeed, as neuron number tended towards the biological numbers (nearly 5 x 10(4) in the simulations), it was not only possible to achieve biological failure rates (55-85%) at the minimally tolerated activity setting but these appropriately high failure rates were required for successful learning. The results are interpreted in terms of previous research demonstrating that randomization during training can enhance performance by facilitating implicit state-space search for interconnected neurons.

High-dose cyclophosphamide, BCNU, and VP-16 (CBV) conditioning before allogeneic stem cell transplantation for patients with non-Hodgkin's lymphoma.

Allogeneic stem cell transplantation (SCT) has been shown to be a curative therapy for some patients with non-Hodgkin's lymphoma (NHL). Total-body irradiation and high-dose cyclophosphamide combinations are the most established conditioning regimens used in this setting. We examined the efficacy and toxicity of cyclophosphamide, BCNU, and VP-16 (CBV) as a suitable chemotherapy-only regimen for NHL patients. In total, 18 patients, median age 42 years, with NHL were treated with CBV followed by allotransplant. Patients had received a median of two prior chemotherapy regimens. Median times to neutrophil and platelet recovery were 19 and 15 days, respectively. Interstitial pneumonitis occurred in one patient. There have been four relapses after a median follow-up of 39 months. Overall, there were four deaths, one because of relapse. The 2-year estimates of relapse-free and overall survival are 56 and 76%, respectively. CBV is a safe and an effective alternative to TBI-containing regimens before allogeneic SCT for NHL.

Initial state randomness improves sequence learning in a model hippocampal network.

Randomness can be a useful component of computation. Using a computationally minimal, but still biologically based model of the hippocampus, we evaluate the effects of initial state randomization on learning a cognitive problem that requires this brain structure. Greater randomness of initial states leads to more robust performance in simulations of the cognitive task called transverse patterning, a context-dependent discrimination task that we code as a sequence prediction problem. At the conclusion of training, greater initial randomness during training trials also correlates with increased, repetitive firing of select individual neurons, previously named local context neurons. In essence, such repetitively firing neurons recognize subsequences, and previously their presence has been correlated with solving the transverse patterning problem. A more detailed analysis of the simulations across training trials reveals more about initial state randomization. The beneficial effects of initial state randomization derive from enhanced variation, across training trials, of the sequential states of a network. This greater variation is not uniformly present during training; it is largely restricted to the beginning of training and when novel sequences are introduced. Little such variation occurs after extensive or even moderate amounts of training. We explain why variation is high early in training, but not later. This automatic modulation of the initial-state-driven random variation through state space is reminiscent of simulated annealing where modulated randomization encourages a selectively broad search through state space. In contrast to an annealing schedule, the selective occurrence of such a random search here is an emergent property, and the critical randomization occurs during training rather than testing.

Relational learning with and without awareness: transitive inference using nonverbal stimuli in humans.

Learning complex relationships among items and representing them flexibly have been shown to be highly similar in function and structure to conscious forms of learning. However, it is unclear whether conscious learning is essential for the exhibition of flexibility in learning. Successful performance on the transitive inference task requires representational flexibility. Participants learned four overlapping premise pairs (A > B, B > C, C > D, D > E) that could be encoded separately or as a sequential hierarchy (A > B > C > D > E). Some participants (informed) were told prior to training that the task required an inference made from premise pairs. Other participants (uninformed) were told simply that they were to learn a series of pairs by trial and error. Testing consisted of unreinforced trials that included the non-adjacent pair, B versus D, to assess capacity for transitive inference. Not surprisingly, those in the informed condition outperformed those in the uninformed condition. After completion of training and testing, uninformed participants were given a postexperimental questionnaire to assess awareness of the task structure. In contrast with expectations, successful performance on the transitive inference task for uninformed participants does not depend on or correlate with postexperimental awareness. The present results suggest that relational learning tasks do not necessarily require conscious processes.

Early patency of the infarct-related artery after myocardial infarction preserves diastolic filling.

A patent infarct-related artery (IRA) following myocardial infarction has been associated with lower mortality, increased systolic function, decreased left ventricular remodeling, and electrical stability. The purpose of this study was to determine whether coronary artery patency early after myocardial infarction is associated with greater early diastolic filling than a closed artery. Radionuclide ventriculograms were performed at a central laboratory on 167 patients who received alteplase for an acute myocardial infarction and had infarct artery patency determined by cardiac catheterization. The peak early filling rate (PEFR) was assessed by 4 different methods: (1) PEFR (EDV/s)--normalized to the end-diastolic volume; (2) PEFR (SV/s)--normalized to the stroke volume; (3) PEFR (ml/s/m(2))--an absolute diastolic filling rate; and (4) PEFR (PER)--normalized to the peak ejection rate. Patients with a closed IRA (n = 16, Thrombolysis In Myocardial Infarction [TIMI] 0 or 1 flow) and patients with an open IRA (n = 151, TIMI 2 or 3 flow) had similar ages, ejection fractions, and cardiac volumes. However, among patients with an occluded IRA, the PEFR was decreased by 12% to 18% by the 4 measures of diastolic filling (3 of 4 methods, p <0.05). PEFR (EDV/s) was 1.69 +/- 0.9 in the occluded group versus 2.06 +/- 0.4 EDV/s in the open artery group (p = 0.005). By multivariate analysis, IRA patency was an independent predictor of the PEFR by all 4 methods. Early coronary artery patency after an acute myocardial infarction preserves diastolic filling. Improved diastolic function may in part explain part of the long-term benefits of a patent IRA after thrombolytic therapy when there is no documented improvement in the ejection fraction.

A model of hippocampal activity in trace conditioning: where's the trace?

The hippocampus is generally thought to play a modulating role in the timing of conditioned responses in classical trace conditioning. One hypothesis is that the hippocampus stores a memory trace of the conditioned stimulus (CS) during the stimulus-free period. Cellular recordings, however, do not show any obvious CS storage. This article examines this issue by using a biologically plausible model of the CA3 region of the hippocampus. Simulations of the model reproduce both behavioral and physiological experimental data. On the basis of neural codes that develop in the model, the authors hypothesize that the hippocampus functions as a time-indexed encoding device for the CS and not as a CS storage buffer. Specifically, the CS initiates a sequence of neural activity during the trace interval that only indirectly represents the CS. The model yields 2 predictions: Some cells will increase in activity only during the trace interval, and some unconditioned stimulus (US)-coding cells will shift in time and fire before US onset.

Norepinephrine alters exercise oxygen consumption in heart failure patients.

PURPOSE: The primary aim of this research was to evaluate the effect of acute norepinephrine (NE) infusion on the exercise oxygen utilization in heart failure patients as compared with healthy adults. METHODS: Eleven healthy adults and 10 patients with NYHA class II-III heart failure (ejection fraction <40%) who were not on beta-blocker therapy underwent steady state exercise under placebo or NE infusion conditions, followed by maximal ramp exercise testing. Oxygen utilization, hemodynamic responses, and serum lactate NE levels were evaluated. RESULTS: The hemodynamic effects of NE were evident in both groups with statistically significant increases in blood pressure and concomitant decreases in heart rates. Lactate levels were higher in heart failure subjects under all conditions and steady state exercise increased levels by 24% (P = 0.04). NE infusion increased lactate levels by a nonsignificant 24% (P = 0.19). NE infusion tended to increase oxygen consumption (VO2) at the end of steady state exercise in CHF subjects (4% change; P = 0.06). Compared with healthy adults, NE infusion significantly impaired (increased) the gross VO2/W relationship in heart failure subjects (P = 0.037). There was also a modest trend for a worsening (decrease) in net efficiency after NE infusion in CHF subjects. There were no significant adverse effects of low-dose NE infusion in either group. CONCLUSIONS: We conclude that 1) acute low-dose NE infusion impairs the oxygen utilization in stable heart failure patients but not in healthy adults. This may help to explain the exercise intolerance that accompanies congestive heart failure. 2) Acute infusion of low-dose NE infusion is safe and well tolerated in both healthy adults and compensated heart failure patients.

Estradiol modulates long-term synaptic depression in female rat hippocampus.

Fluctuating estradiol levels in the adult, female rat modify the anatomical and functional organization of the hippocampal CA1 region. When systemic levels of estradiol are low, e.g., on estrus or in ovariectomized (OVX) rats, long-term synaptic potentiation is difficult to induce in vivo. However, little is known about the role of this ovarian hormone in long-term synaptic depression. Using multiple conditioning paradigms, we assess the magnitude of long-term depression (LTD) at CA3-CA1 synapses in vitro from adult, ovariectomized rats as a function of systemic estradiol replacement. In hippocampal slices from control OVX rats with low levels of estradiol, a low-frequency (2 Hz), asynchronous conditioning stimulation protocol does not produce LTD at 1 h postconditioning. However, this same protocol induces robust LTD in slices from estradiol-treated OVX rats. When the conditioning frequency is increased to 4 Hz, slices from both groups of rats show robust LTD in vitro. At an even higher conditioning frequency (10 Hz), the 2-Hz-based observations are reversed; no consistent changes in synaptic transmission are observed in slices from estradiol-treated OVX rats, but those from control rats (OVX + oil) show robust LTD. Thus estradiol reduces the frequency threshold for LTD induction at the CA3-CA1 synapses. Further, regardless of the conditioning frequency employed, where robust LTD is seen, its induction depends on normally functioning N-methyl-D-aspartate (NMDA) receptors during conditioning. The shift in conditioning frequency needed to elicit LTD is consistent with a decrease in NMDA receptor activation with decreasing estradiol levels.

Successful autologous bone marrow transplant without the use of blood product support.

We describe a successful autologous bone marrow transplant without the use of any blood products. The patient had relapsed large cell lymphoma. He was a Jehovah's Witness and would not accept transfusions of red blood cells or platelets. He enrolled in our Bloodless Medicine and Surgery Program and was maintained on a regimen of erythropoietin, iron, Amicar, and G-CSF throughout the transplant. He tolerated the transplant well and is alive with no evidence of disease 10 months after autografting.

Controlling activity fluctuations in large, sparsely connected random networks.

Controlling activity in recurrent neural network models of brain regions is essential both to enable effective learning and to reproduce the low activities that exist in some cortical regions such as hippocampal region CA3. Previous studies of sparse, random, recurrent networks constructed with McCulloch-Pitts neurons used probabilistic arguments to set the parameters that control activity. Here, we extend this work by adding an additional, biologically appropriate, parameter to control the magnitude and stability of activity oscillations. The new constant can be considered to be the rest conductance in a shunting model or the threshold when subtractive inhibition is used. This new parameter is critical for large networks run at low activity levels. Importantly, extreme activity fluctuations that act to turn large networks totally on or totally off can now be avoided. We also show how the size of external input activity interacts with this parameter to affect network activity. Then the model based on fixed weights is extended to estimate activities in networks with distributed weights. Because the theory provides accurate control of activity fluctuations, the approach can be used to design a predictable amount of pseudorandomness into deterministic networks. Such nonminimal fluctuations improve learning in simulations trained on the transitive inference problem.