Modified carbon paste electrodes for flow injection amperometric determination of isocitrate dehydrogenase activity in serum

A carbon paste electrode modified with the adsorbed products of the electrochemical oxidation of adenosine triphosphate is described. The electrode was applied to the amperometric electrocatalytic detection of the reduced form of both nicotinamide adenine dinucleotide and nicotinamide adenine dinucleotide phosphate. The catalytic oxidation current shows a linear dependence on the concentration of the reduced form of nicotinamide adenine dinucleotide up to 1x10(-4)M, with a detection limit of 5x10(-9)M. Modified carbon paste electrodes were coated with an electrogenerated film of nonconducting poly(o-phenylenediamine) to obtain a stable amperometric response for at least 150h. In addition to static measurements, determination of both reduced cofactors was carried out in a flow injection analysis system with a thin-layer amperometric detection cell. The electrocatalytic monitoring of reduced nicotinamide adenine dinucleotide phosphate was applied to flow injection measurement of isocitrate dehydrogenase activity in serum. The results were in good agreement with those for the standard spectrophotometric test kit. The proposed method consumed less time and reagents and provided better precision than the standard method.     

Confidence intervals for the mean of diagnostic test charge data containing zeros

In this paper, we consider the problem of interval estimation for the mean of diagnostic test charges. Diagnostic test charge data may contain zero values, and the nonzero values can often be modeled by a log-normal distribution. Under such a model, we propose three different interval estimation procedures: a percentile-t bootstrap interval based on sufficient statistics and two likelihood-based confidence intervals. For theoretical properties, we show that the two likelihood-based one-sided confidence intervals are only first-order accurate and that the bootstrap-based one-sided confidence interval is second-order accurate. For two-sided confidence intervals, all three proposed methods are second-order accurate. A simulation study in finite-sample sizes suggests all three proposed intervals outperform a widely used minimum variance unbiased estimator (MVUE)-based interval except for the case of one-sided lower end-point intervals when the skewness is very small. Among the proposed one-sided intervals, the bootstrap interval has the best coverage accuracy. For the two-sided intervals, when the sample size is small, the bootstrap method still yields the best coverage accuracy unless the skewness is very small, in which case the bias-corrected ML method has the best accuracy. When the sample size is large, all three proposed intervals have similar coverage accuracy. Finally, we analyze with the proposed methods one real example assessing diagnostic test charges among older adults with depression.     

Improving of lipid productivity of the biodiesel promising green microalga <Emphasis Type="Italic">Chlorella pyrenoidosa</Emphasis> via low-energy ion implantation

High lipid content in microalgae is an essential parameter for adopting of microalgal biomass as a feedstock for biodiesel. Mutation is one approach to obtain desired algal strain with high lipid production. In this study, a mutant strain of Chlorella pyrenoidosa was isolated using 1.5?×?10¹⁵ ions cm^?2 s^?1 of N⁺ ion beam implantation technique, which has been widely used in mutagenesis of agricultural crops. N⁺ implantation slightly improved the growth of the mutant over the corresponding wild strain with significant increase in lipid content (32.4 % higher than the wild strain), which resulted in significant increase in lipid productivity by 35 %. In addition, ion implantation mutagenesis of C. pyrenoidosa resulted in 21.4 % decrease in total saturated fatty acids (SFAs) compared to the wild type, with a noticeable increase in polyunsaturated fatty acids (PUFAs). The increase in PUFAs was due mainly to stimulation of hexadecadienoic acid (C16:2) and octadecadienoic acid (C18:2) production. However, the SFA content of wild and mutant strains was 31.7 and 24.9 % of total fatty acids, respectively, highlighting the oxidative stability of biodiesel produced by both strains according to the European standards. Cultivation of C. pyrenoidosa mutant in selenite enrichment medium for five successive cultivation experiments showed insignificant changes in biomass productivity, lipid content, and lipid productivity alongside the study period, which confirms the genetic stability of the produced mutant. The present study confirmed the feasibility of generation of microalgae mutants with significant high lipid production using ion beam implantation.     

High production of laccase by a new basidiomycete, <Emphasis Type="Italic">Trametes</Emphasis> sp

A new basidiomycete, Trametes sp. 420, produced laccase at 6,810 U l⁻¹ (268 mg, 25.4 U mg⁻¹ protein for guaiacol) in glucose medium and 7,870 U l⁻¹ (310 mg) in cellobiose medium with induction by 0.5 mM Cu²⁺ and 6 mM o-toluidine. Laccase isozyme E (LacE) was the sole laccase in the fermentation products. It was stable at pH 5–9 and below 70°C over 30 min. The K _m values of LacE for four substrates (guaiacol ABTS, 2,6-dimethoxyphenol and syringaldazine) varied from 5 to 245 μM. The activity of LacE was strongly inhibited by NaN₃ but not by EDTA or dimethylsulfoxide. LacE at 0.5 U l⁻¹ could decolorize industrial dyes. The open reading frame of the lacE gene was 2,130 bp and was interrupted by 10 introns. It displayed a high homology to laccases from other fungi. Pingui Tong and Yuzhi Hong contributed equally to the study     

Personalized medicine and proteomics: lessons from non-small cell lung cancer

Personalized medicine allows the selection of treatments best suited to an individual patient and disease phenotype. To implement personalized medicine, effective tests predictive of response to treatment or susceptibility to adverse events are needed, and to develop a personalized medicine test, both high quality samples and reliable data are required. We review key features of state-of-the-art proteomic profiling and introduce further analytic developments to build a proteomic toolkit for use in personalized medicine approaches. The combination of novel analytical approaches in proteomic data generation, alignment and comparison permit translation of identified biomarkers into practical assays. We further propose an expanded statistical analysis to understand the sources of variability between individuals in terms of both protein expression and clinical variables and utilize this understanding in a predictive test.     

Lipoyl synthase requires two equivalents of S-adenosyl-L-methionine to synthesize one equivalent of lipoic acid

Lipoyl synthase (LipA) catalyzes the formation of the lipoyl cofactor, which is employed by several multienzyme complexes for the oxidative decarboxylation of various alpha-keto acids, as well as the cleavage of glycine into CO(2) and NH(3), with concomitant transfer of its alpha-carbon to tetrahydrofolate, generating N(5),N(10)-methylenetetrahydrofolate. In each case, the lipoyl cofactor is tethered covalently in an amide linkage to a conserved lysine residue located on a designated lipoyl-bearing subunit of the complex. Genetic and biochemical studies suggest that lipoyl synthase is a member of a newly established class of metalloenzymes that use S-adenosyl-l-methionine (AdoMet) as a source of a 5'-deoxyadenosyl radical (5'-dA(*)), which is an obligate intermediate in each reaction. These enzymes contain iron-sulfur clusters, which provide an electron during the cleavage of AdoMet, forming l-methionine in addition to the primary radical. Recently, one substrate for lipoyl synthase has been shown to be the octanoylated derivative of the lipoyl-bearing subunit (E(2)) of the pyruvate dehydrogenase complex [Zhao, S., Miller, J. R., Jian, Y., Marletta, M. A., and Cronan, J. E., Jr. (2003) Chem. Biol. 10, 1293-1302]. Herein, we show that the octanoylated derivative of the lipoyl-bearing subunit of the glycine cleavage system (H-protein) is also a substrate for LipA, providing further evidence that the cofactor is synthesized on its target protein. Moreover, we show that the 5'-dA(*) acts directly on the octanoyl substrate, as evidenced by deuterium transfer from [octanoyl-d(15)]H-protein to 5'-deoxyadenosine. Last, our data indicate that 2 equiv of AdoMet are cleaved irreversibly in forming 1 equiv of [lipoyl]H-protein and are consistent with a model in which two LipA proteins are required to synthesize one lipoyl group.     

Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions

One key problem in computational neuroscience and neural engineering is the identification and modeling of functional connectivity in the brain using spike train data. To reduce model complexity, alleviate overfitting, and thus facilitate model interpretation, sparse representation and estimation of functional connectivity is needed. Sparsities include global sparsity, which captures the sparse connectivities between neurons, and local sparsity, which reflects the active temporal ranges of the input-output dynamical interactions. In this paper, we formulate a generalized functional additive model (GFAM) and develop the associated penalized likelihood estimation methods for such a modeling problem. A GFAM consists of a set of basis functions convolving the input signals, and a link function generating the firing probability of the output neuron from the summation of the convolutions weighted by the sought model coefficients. Model sparsities are achieved by using various penalized likelihood estimations and basis functions. Specifically, we introduce two variations of the GFAM using a global basis (e.g., Laguerre basis) and group LASSO estimation, and a local basis (e.g., B-spline basis) and group bridge estimation, respectively. We further develop an optimization method based on quadratic approximation of the likelihood function for the estimation of these models. Simulation and experimental results show that both group-LASSO-Laguerre and group-bridge-B-spline can capture faithfully the global sparsities, while the latter can replicate accurately and simultaneously both global and local sparsities. The sparse models outperform the full models estimated with the standard maximum likelihood method in out-of-sample predictions.     

Radiosynthesis and evaluation of a fluorine-18 labeled radioligand targeting vesicular acetylcholine transporter

Vesicular acetylcholine transporter (VAChT) is a reliable biomarker for assessing the loss of cholinergic neurons in the brain that is associated with cognitive impairment of patients. 5-Hydrotetralin compound (±)-5-OH-VAT is potent (K_i?=?4.64?±?0.32?nM) and selective for VAChT (>1800-fold and 398-fold for σ₁ and σ₂ receptor, respectively) with favorable hydrophilicity (LogD?=?1.78), while (?)-5-OH-VAT originally serves as the radiolabeling precursor of (?)-[¹⁸F]VAT, a promising VAChT radiotracer with a logD value of 2.56. To evaluate (?)-5-OH-[¹⁸F]VAT as a radiotracer for VAChT, we performed in vitro binding assay to determine the potency of the minus enantiomer (?)-5-OH-VAT and plus enantiomer (+)-5-OH-VAT, indicating that (?)-5-OH-VAT is a more potent VAChT enantiomer. Radiosynthesis of (?)-5-OH-[¹⁸F]VAT was explored using three strategies. (?)-5-OH-[¹⁸F]VAT was achieved with a good yield (24?±?6%) and high molar activity (～37?GBq/µmol, at the end of synthesis) using a microwave assisted two-step one-pot procedure that started with di-MOM protected nitro-containing precursor (?)-6. MicroPET studies in the brain of nonhuman primate (NHP) suggest that (?)-5-OH-[¹⁸F]VAT readily penetrated the blood brain barrier and specifically accumulated in the VAChT-enriched striatum with improved washout kinetics from striatum compared to [¹⁸F]VAT. Nevertheless, the lower target to non-target ratio may limit its use for in vivo measurement of the VAChT level in the brain.