Multilayer Electrolyzer Stack Converts Carbon Dioxide to Gas Products at High Pressure with High Efficiency.

Electrochemical reduction of CO2 is a value-added approach to both decrease the atmospheric emission of carbon dioxide and form valuable chemicals. We present a zero gap electrolyzer cell, which continuously converts gas phase CO2 to products without using any liquid catholyte. This is the first report of a multilayer CO2 electrolyzer stack for scaling up the electrolysis process. CO formation with partial current densities above 250 mA cm-2 were achieved routinely, which was further increased to 300 mA cm-2 (with ∼95% faradic efficiency) by pressurizing the CO2 inlet (up to 10 bar). Evenly distributing the CO2 gas among the layers, the electrolyzer operates identically to the sum of multiple single-layer electrolyzer cells. When passing the CO2 gas through the layers consecutively, the CO2 conversion efficiency increased. The electrolyzer simultaneously provides high partial current density, low cell voltage (-3.0 V), high conversion efficiency (up to 40%), and high selectivity for CO production.

Mini review on blood-brain barrier penetration of pyridinium aldoximes.

This paper reviews the blood-brain barrier (BBB) penetration of newly developed pyridinium aldoximes. Pyridinium aldoximes are highly charged hydrophilic compounds used in the treatment of subjects exposed to organophosphonates because they are effective as acetylcholinesterase reactivators. Pyridinium aldoximes have antidotal effects against poisoning with cholinesterase inhibitors, a frequent problem affecting people working with organophosphate-based insecticides and pesticides. Toxic organophosphonate products such as sarin and tabun can be used by terrorists as chemical warfare agents. This poses a severe challenge to all innocent and peace-loving people worldwide. This review gives a brief summary of BBB transporters and description of the current in vitro and in vivo methods for the characterization of BBB penetration of established and novel pyridinium aldoximes. The authors provide a putative mechanism of penetration, outline some future ways of formulation and discuss the possible advantages and disadvantages of increasing BBB penetration.

Medicinal chemistry of drugs with active metabolites (N-, O-, and S-desalkylation and some specific oxidative alterations).

Metabolic fate plays an important role in the elimination of drugs and other foreign compounds from the body. Metabolism through various enzyme systems, makes the parent compound more hydrophilic, thus, it can be readily excreted from the body. Some active metabolites of drugs are produced following N-, O-, and S-desalkylation. These metabolites are either more or less potent, or as potent as their parent drugs. The removal of alkyl groups from tertiary aliphatic and acyclic amines is carried out by hepatic cytochrome P450 mixed-function oxidase enzymes. Several drugs undergo this process, which yields free hydroxyl-, or amino-groups, in addition to aldehyde from the splitted alkyl group. Metabolism of drugs into clinically active compounds indicates an extra target of therapeutic drug monitoring. Numerical data of logP values show how lipophilicity changes through metabolism to facilitate excretion. The example of phenacetin - paracetamol opened up a way for improving pharmacological effect by the use of a metabolite. This review gives a detailed description of these drugs, their active and major metabolites found in humans or animals, metabolizing cytochrome P450s, and the most recent analytical methods for their determination.

Transient and state modulation of beta power in human subthalamic nucleus during speech production and finger movement.

Signs of Parkinson's disease (PD) are augmented by speech and repetitive motor tasks. The neurophysiological basis for this phenomenon is unknown, but may involve augmentation of ß (13-30 Hz) oscillations within the subthalamic nucleus (STN). We hypothesized that speech and motor tasks increase ß power in STN and propose a mechanism for clinical observations of worsening motor state during such behaviors. Subjects undergoing deep brain stimulation (DBS) surgery performed tasks while STN local field potential (LFP) data were collected. Power in the ß frequency range was analyzed across the entire recording to observe slow shifts related to block design and during time epochs synchronized to behavior to evaluate immediate fluctuations related to task execution. Bilaterally symmetric ß event related desynchronization was observed in analysis time-locked to subject motor and speech tasks. We also observed slow shifts of ß power associated with blocks of tasks. Repetitive combined speech and motor, and isolated motor blocks were associated with the highest bilateral ß power state. Overt speech alone and imagined speech were associated with a low bilateral ß power state. Thus, changing behavioral tasks is associated with bilateral switching of ß power states. This offers a potential neurophysiologic correlate of worsened PD motor signs experienced during clinical examination with provocative tasks: switching into a high ß power state may be responsible for worsening motor states in PD patients when performing unilateral repetitive motor tasks and combined speech and motor tasks. Beta state changes could be chronically measured and potentially used to control closed loop neuromodulatory devices in the future.

Aliphatic and aromatic oxidations, epoxidation and S-oxidation of prodrugs that yield active drug metabolites.

About one hundred and fifty of the several thousands of drugs on the market are known to have active metabolites. Medicinal chemistry of the parent drugs as well as that of the metabolites are very important both in medical practice and drug research. The efficacy of a drug will depend on a number of properties including, pharmacokinetic behavior, absorption, tissue distribution, pharmacological potency, toxicity and tissue-specificity. The production and release of active metabolites are important because active drug metabolites may influence the clinical outcome of a drug by increasing the gross level of pharmacologically active compounds (drug + active metabolite) and/or essentially increasing the duration of drug effect, when t(1/2) of active metabolite is much longer than that of the parent drug. Furthermore, certain drug metabolizing enzymes can either be inhibited or induced by other drugs and a variety of food and environmental factors. A careful control of the clinical effects of any drug with active metabolites is important especially in the treatment of the elderly population where the administration of several drugs is not unusual.This review provides a detailed description of the medicinal chemistry of drugs yielding active metabolites after undergoing transformation via aliphatic and aromatic oxidations, epoxidation and S-oxidation. Their respective pharmacologically active metabolites, metabolizing enzymes and changes in lipophilicity are also summarized. The most recent analytical methods used for the reliable quantification of both the parent drugs and their metabolites are also included.

High gamma mapping using EEG.

High gamma (HG) power changes during motor activity, especially at frequencies above 70 Hz, play an important role in functional cortical mapping and as control signals for BCI (brain-computer interface) applications. Most studies of HG activity have used ECoG (electrocorticography) which provides high-quality spatially localized signals, but is an invasive method. Recent studies have shown that non-invasive modalities such as EEG and MEG can also detect task-related HG power changes. We show here that a 27 channel EEG (electroencephalography) montage provides high-quality spatially localized signals non-invasively for HG frequencies ranging from 83 to 101 Hz. We used a generic head model, a weighted minimum norm least squares (MNLS) inverse method, and a self-paced finger movement paradigm. The use of an inverse method enables us to map the EEG onto a generic cortex model. We find the HG activity during the task to be well localized in the contralateral motor area. We find HG power increases prior to finger movement, with average latencies of 462 ms and 82 ms before EMG (electromyogram) onset. We also find significant phase-locking between contra- and ipsilateral motor areas over a similar HG frequency range; here the synchronization onset precedes the EMG by 400 ms. We also compare our results to ECoG data from a similar paradigm and find EEG mapping and ECoG in good agreement. Our findings demonstrate that mapped EEG provides information on two important parameters for functional mapping and BCI which are usually only found in HG of ECoG signals: spatially localized power increases and bihemispheric phase-locking.

Bi-phase locking - a tool for probing non-linear interaction in the human brain.

We present a novel method for detecting frequency-frequency coupling between the electrical output of cortical areas as measured by electrocorticography (ECoG), electroencephalography (EEG) and magnetoencephalography (MEG), the biphase-locking value (bPLV). Our method is an extension of the well known phase-locking value (PLV) and is specifically sensitive to non-linear interactions, i.e. quadratic phase coupling across frequencies. Due to its sensitivity to non-linear interactions, it is robust to spurious synchronization arising from linear crosstalk, which is an especially useful property when analyzing data recorded by EEG/MEG. We discuss the statistical properties of the bPLV, specifically the distribution of the bPLV under assumption of random phases between the signals of interest. We also compare the bPLV to the PLV for cortical interactions that are computed for simulated EEG/MEG data. These data were mapped to the cortex using an inverse solution. We demonstrate our method for event related ECoG data recorded from the motor cortex of an epileptic patient, who performed a cued finger movement task. We find highly significant, movement related increase of the bPLV between the alpha (12 Hz) and high gamma (77 Hz) band in a pre-motor area, coupling to high gamma at 89 Hz in the motor cortex.

Analysis of pyridinium aldoximes - a chromatographic approach.

Pyridinium aldoximes are used as antidotes to organophosphorus cholinesterase inhibitors. All pyridinium aldoximes (oximes) are highly polar quaternary ammonium compounds showing low to minimal blood-brain-barrier (BBB) penetration. Oximes are separated using reversed-phase (RP) HPLC methods and/or thin-layer chromatography (TLC). The chemical structures, elementary compositions, molecular sizes and the calculated logP values of several mono- and bis-pyridinium aldoximes are given. Chromatographic and electrophoretic analyses of oximes are detailed, including the stationary and mobile phase composition and the mode of detection. Degradation pathways and products are also discussed. To characterize oximes lipophilicity/hydrophilicity an in silico method was used and expanded as to describe organophosphorus compound adducts with several pyridinium aldoximes.

In vitro and in vivo metabolisms of K-48.

Metabolic pathways of the oxime K-48 have been elucidated by means of in vitro and in vivo experiments. K-48 exposure to rat liver microsomal fraction resulted in the formation of a hydroxylated derivative, in addition to a small molecular fragment. The in vivo metabolism in rats was investigated after intramuscular administration of 50 mumol oxime. K-48 was present in the rat serum in unchanged form. Similarly, the analysis of rat cerebrospinal fluid indicated the sole occurrence of unchanged K-48. In contrast, unchanged K-48 was not found in the rat urine, where only the metabolite generated by epoxidation on the alkyl chain connecting the two pyridinium rings was present. The presence of unchanged K-48 in the serum and cerebrospinal fluid facilitates quantitative determination using HPLC separation and ultraviolet absorbance detection.

Application of main component fraction collection method for purification of compound libraries.

In order to support high-throughput library purification, a novel UV triggered fraction collection method was developed in which a maximum-seeking-algorithm-driven, six-port valve collects the largest chromatographic peak. This straightforward strategy achieves the one sample-one fraction approach, thus resulting in a simpler and less error prone workup procedure. The effectiveness of this main component fraction collection method will be illustrated here by the results of the purification of compound libraries (altogether 6086 compounds, having an averaged success rate of 79.4%). Advanced applications, where the desired component differs from the main component, will also be discussed.

Investigations of dipole localization accuracy in MEG using the bootstrap.

We describe the use of the nonparametric bootstrap to investigate the accuracy of current dipole localization from magnetoencephalography (MEG) studies of event-related neural activity. The bootstrap is well suited to the analysis of event-related MEG data since the experiments are repeated tens or even hundreds of times and averaged to achieve acceptable signal-to-noise ratios (SNRs). The set of repetitions or epochs can be viewed as a set of independent realizations of the brain's response to the experiment. Bootstrap resamples can be generated by sampling with replacement from these epochs and averaging. In this study, we applied the bootstrap resampling technique to MEG data from somatotopic experimental and simulated data. Four fingers of the right and left hand of a healthy subject were electrically stimulated, and about 400 trials per stimulation were recorded and averaged in order to measure the somatotopic mapping of the fingers in the S1 area of the brain. Based on single-trial recordings for each finger we performed 5000 bootstrap resamples. We reconstructed dipoles from these resampled averages using the Recursively Applied and Projected (RAP)-MUSIC source localization algorithm. We also performed a simulation for two dipolar sources with overlapping time courses embedded in realistic background brain activity generated using the prestimulus segments of the somatotopic data. To find correspondences between multiple sources in each bootstrap, sample dipoles with similar time series and forward fields were assumed to represent the same source. These dipoles were then clustered by a Gaussian Mixture Model (GMM) clustering algorithm using their combined normalized time series and topographies as feature vectors. The mean and standard deviation of the dipole position and the dipole time series in each cluster were computed to provide estimates of the accuracy of the reconstructed source locations and time series.

UV-triggered main-component fraction collection method and its application for high-throughput chromatographic purification of combinatorial libraries.

A maximum-seeking, algorithm-driven fraction collection method was developed to support high-throughput chromatographic purification, which provides new possibilities for off-line high-performance liquid chromatography mass spectroscopy (HPLC/MS) quality control experiments. The method is based on manipulation of a six-port valve that is installed downstream from the UV detector and equipped with a fraction collector loop. The detector signal is monitored by a programmable microcontroller that controls the state of the fraction collector valve. After detecting a chromatographic peak, the appropriate fraction is stored in the collector loop. The height of the next peak is compared to the previous one (using a maximum-seeking algorithm) and, depending on the result, the collected fraction is or is not exchanged with the new one. At the end of the run, the stored UV main component is pumped into the external fraction vial. This configuration was used for chromatographic purification of large compound libraries (the results of the purification of 5324 compounds are reported here), as well as for high-throughput off-line HPLC quality control experiments, where the collected main component fractions of an analytical-scale separation were subjected to further mass spectrometric molecular weight verification.

Recent advances in chemical genomics.

Chemical genomics, which utilizes specially designed small chemical compounds early in the discovery phase of new drugs to explore the life science at various levels, can address biological questions that are not amenable to genetic manipulation or functional genomics/proteomics approaches. Following the development of HT phenotypic assays and DNA expression analysis, the integration of cell-based assays with activity / affinity-based approaches allows us to interrogate the cells by analyzing phenotypic alterations, changes of transcript signature or detecting the differences in protein expression levels. Furthermore, activity / affinity-based techniques directly provide a druggable subset of gene products, which interact with small molecules, greatly reducing the complexity of analyzing the proteome. In this paper, we give an account of the recent advances (approaches and strategies) in the field of chemical genomics, and discuss how these approaches enable the investigator to obtain a novel therapeutically relevant target as well as drug candidates acting on them in a target-specific manner. This novel post-genomic discovery strategy, where target identification/ validation is carried out by interactions with small molecules, could significantly reduce the time-scale for early drug discovery, and increase the success rate of finding novel, druggable targets, as well as more specific drug candidates.

Mapping human brain function with MEG and EEG: methods and validation.

We survey the field of magnetoencephalography (MEG) and electroencephalography (EEG) source estimation. These modalities offer the potential for functional brain mapping with temporal resolution in the millisecond range. However, the limited number of spatial measurements and the ill-posedness of the inverse problem present significant limits to our ability to produce accurate spatial maps from these data without imposing major restrictions on the form of the inverse solution. Here we describe approaches to solving the forward problem of computing the mapping from putative inverse solutions into the data space. We then describe the inverse problem in terms of low dimensional solutions, based on the equivalent current dipole (ECD), and high dimensional solutions, in which images of neural activation are constrained to the cerebral cortex. We also address the issue of objective assessment of the relative performance of inverse procedures by the free-response receiver operating characteristic (FROC) curve. We conclude with a discussion of methods for assessing statistical significance of experimental results through use of the bootstrap for determining confidence regions in dipole-fitting methods, and random field (RF) and permutation methods for detecting significant activation in cortically constrained imaging studies.

Spatiotemporal imaging of electrical activity related to attention to somatosensory stimulation.

The aim of the present study was to localize the effects of spatial attention on somatosensory stimulation in EEG. Median and tibial nerve were stimulated at all four limbs in a random order. Subjects were instructed to count the events on either the right median or the right tibial nerve. Attention-induced changes in the somatosensory evoked potentials (SEP) were revealed by subtracting the median nerve SEPs recorded while subjects attended to stimuli applied to the tibial nerve from those obtained during attention to the stimulated hand. In a current density reconstruction approach source maxima in the time range from 30 to 260 ms after median nerve stimulation were localized and the time courses of activation were elaborated by dipole modeling. Six regions were identified which contribute significant source activity related to selective spatial attention: contralateral postcentral gyrus (Brodman area (BA) 3), contralateral mesial frontal gyrus (BA 6), right posterior parietal cortex (BA 7), anterior cingulate gyrus (BA 32), and bilateral middle temporal gyrus (BA 21). Activation started at the right posterior parietal cortex, followed by the contralateral middle temporal gyrus, probably representing SII activity, and the middle frontal and anterior cingulate gyrus. Similar regions of source activation were revealed by tibial nerve SEP, but the effect was less pronounced and restricted almost entirely to activation of the contralateral postcentral gyrus (BA 3), anterior cingulate gyrus (BA 32), and ipsilateral middle temporal gyrus (BA 21). Our data provide evidence for a spatially separated frontal generator within the anterior cingulum, dependent on selective attention in the somatosensory modality.

Spatio-temporal source imaging reveals subcomponents of the human auditory mismatch negativity in the cingulum and right inferior temporal gyrus.

We investigated the generators of the mismatch negativity by means of spatio-temporal source imaging on the basis of 64-channel electroencephalography data in order to study the time course and localization of proposed frontal sources. Results indicate that there are additional generators located both within the anterior cingulate gyrus and in the right inferior temporal gyrus, clearly separated from the supratemporal generators in space and time course. The cingulate generator is activated later than the temporal ones, which supports the hypothesis of a frontally located mechanism of involuntary switching of attention triggered by the temporal change detection system. Evidence for an additional right inferior temporal generator supports the hypothesis of right hemispheric dominance in early sound discrimination.

Numerical aspects of spatio-temporal current density reconstruction from EEG-/MEG-data.

The determination of the sources of electric activity inside the brain from electric and magnetic measurements on the surface of the head is known to be an ill-posed problem. In this paper, a new algorithm which takes temporal a priori information modeled by the smooth activation model into account is described and compared with existing algorithms such as Tikhonov-Phillips.

Spatio-temporal current density reconstruction (stCDR) from EEG/MEG-data.

Among the different approaches to the bioelectromagnetic inverse problem, the current-density reconstruction methods (CDR) provide the most general solutions. Since the inverse problem does not have a unique solution, model assumptions have to be taken into account. Multi-channel measurements contain not only spatial, but also temporal information about the sources, so a naturally extension to existing methods leads to spatio-temporal model constraints. Spatio-temporal CDR's (stCDR) have been tested in simplified volume conductor models, assuming different spatial model constraints and a smooth temporal activation model. Comparison to existing spatial model constraints showed a significant improvement of spatial and temporal resolution of the reconstructed sources for the spatio-temporal models especial in noisy data.

Diversity measures for enhancing ADME admissibility of combinatorial libraries.

For general screening libraries, structural diversity descriptors and drug-likeness indicators still do not guarantee the in vivo bioavailability for the candidates, which is considered a major bottleneck in drug development. Early prediction of pharmacokinetics (log P, log D), metabolism, and toxicity makes it possible to deal with ADME (adsorption, distribution, metabolism, excretion) related diversity as an extension to the classical diversity concepts. It opens several new possibilities for optimization of a discovery library before doing any experimental screening. This new diversity concept is demonstrated on a subset of MeDiverse, which is a diverse collection of pharmacologically relevant compounds selected from our in-house library. From consideration of the ADME interface in living systems, virtual secondary libraries of metabolites and retrometabolites (prodrugs) can be generated. These additional libraries readily enhance both the structural and ADME related diversity. This new opportunity in library design can substantially improve the success rate for in vivo lead generation from in vitro hits.