Evaluation of agomelatine stability under different stress conditions using an HPLC method with fluorescence detection: application to the analysis of tablets and human plasma

A simple and highly sensitive stability‐indicating HPLC method was developed and validated for the determination of the new antidepressant agent, agomelatine (AGM). Separation of AGM from its stress‐induced degradation products was achieved on a BDS Hypersil phenyl column (250 mm × 4.6 mm i.d., 5 µm particle size) using methanol–0.05 M phosphate buffer of pH 2.5 (35: 65, v/v) as a mobile phase with fluorescence detection at 230/370 nm. Naproxen was used as an internal standard. The method satisfied all the validation requirements, as evidenced by good linearity (correlation coefficient of 0.9999, over the concentration range 0.4–40.0 ng/mL), accuracy (recovery average 99.55 ± 0.90%), precision (intra‐day RSD 0.54–1.35% and inter‐day RSD 0.93–1.26%), robustness and specificity. The stability of AGM was investigated under different ICH recommended stress conditions including acidic, alkaline, neutral, oxidative and photolytic. AGM was found to be labile to acidic and alkaline degradation and a kinetic study was conducted to explore its degradation behavior. First‐order degradation rate constants and half‐life times were calculated in each case. The proposed method was applied for the determination of AGM in tablets and spiked human plasma with mean percentage recoveries of 99.87 ± 0.31 (n = 3) and 102.09 ± 5.01 (n = 5), respectively. Hence, the proposed method was successfully applied for the determination of AGM in human volunteer plasma. The results were compared statistically with those obtained by a comparison HPLC method revealing no significant differences between the two methods regarding accuracy and precision. Copyright © 2014 John Wiley & Sons, Ltd.     

Imperfect detection and the determination of environmental flows for fish: challenges,implications and solutions

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Choosing and using diversity indices: insights for ecological applications from the German Biodiversity Exploratories

Biodiversity, a multidimensional property of natural systems, is difficult to quantify partly because of the multitude of indices proposed for this purpose. Indices aim to describe general properties of communities that allow us to compare different regions, taxa, and trophic levels. Therefore, they are of fundamental importance for environmental monitoring and conservation, although there is no consensus about which indices are more appropriate and informative. We tested several common diversity indices in a range of simple to complex statistical analyses in order to determine whether some were better suited for certain analyses than others. We used data collected around the focal plant Plantago lanceolata on 60 temperate grassland plots embedded in an agricultural landscape to explore relationships between the common diversity indices of species richness (S), Shannon's diversity (H'), Simpson's diversity (D₁), Simpson's dominance (D₂), Simpson's evenness (E), and Berger–Parker dominance (BP). We calculated each of these indices for herbaceous plants, arbuscular mycorrhizal fungi, aboveground arthropods, belowground insect larvae, and P. lanceolata molecular and chemical diversity. Including these trait‐based measures of diversity allowed us to test whether or not they behaved similarly to the better studied species diversity. We used path analysis to determine whether compound indices detected more relationships between diversities of different organisms and traits than more basic indices. In the path models, more paths were significant when using H', even though all models except that with E were equally reliable. This demonstrates that while common diversity indices may appear interchangeable in simple analyses, when considering complex interactions, the choice of index can profoundly alter the interpretation of results. Data mining in order to identify the index producing the most significant results should be avoided, but simultaneously considering analyses using multiple indices can provide greater insight into the interactions in a system.     

A new bioassay method for the detection of resistance to pesticides in the stored product mite Acarus siro (Acari: Acaridae)

The majority of bioassay methods used for determining the susceptibility of the flour mite Acarus siro L. to pesticides provide data which are difficult to assess. In this new method, the mites are confined on treated, moulded filter papers held in position by two glass sheets to form an escape-proof exposure chamber. The method is simple and uses materials that are likely to be readily available. The dose–response data obtained from laboratory and field strains of A. siro to three organophosphorus-based pesticides are presented. The method provided repeatable results and no significant variation when used by different operators. A discriminating dose for the detection of pirimiphos-methyl resistance is suggested.     

New technologies in the mix: Assessing N‐mixture models for abundance estimation using automated detection data from drone surveys

1. Reliable estimates of abundance are critical in effectively managing threatened species, but the feasibility of integrating data from wildlife surveys completed using advanced technologies such as remotely piloted aircraft systems (RPAS) and machine learning into abundance estimation methods such as N‐mixture modeling is largely unknown due to the unique sources of detection errors associated with these technologies.
2. We evaluated two modeling approaches for estimating the abundance of koalas detected automatically in RPAS imagery: (a) a generalized N‐mixture model and (b) a modified Horvitz–Thompson (H‐T) estimator method combining generalized linear models and generalized additive models for overall probability of detection, false detection, and duplicate detection. The final estimates from each model were compared to the true number of koalas present as determined by telemetry‐assisted ground surveys.
3. The modified H‐T estimator approach performed best, with the true count of koalas captured within the 95% confidence intervals around the abundance estimates in all 4 surveys in the testing dataset (n = 138 detected objects), a particularly strong result given the difficulty in attaining accuracy found with previous methods.
4. The results suggested that N‐mixture models in their current form may not be the most appropriate approach to estimating the abundance of wildlife detected in RPAS surveys with automated detection, and accurate estimates could be made with approaches that account for spurious detections.

     

Proteomics for the identification of specifically oxidized proteins in brain: Technology and application to the study of neurodegenerative disorders

Summary. Proteomics offers the opportunity elucidate the complex protein interactions of cellular systems by studying the products of genes, i.e., proteins, and their structure, function and localization. The purpose of proteomics is to explain the information contained in the genome sequences in order to provide clues on cellular events, especially related to disease.Our proteomic approach has made possible the identification of specifically oxidized proteins in Alzheimers disease (AD) brain, providing for the first time evidence on how oxidative stress plays a crucial role in AD-related neurodegeneration. This represents an example of the use of proteomics to solve biological problems related to disease. The field, which is still in its infancy, represents a very promising way to elucidate mechanism of disease at a protein level. However, the techniques that support its development present several limitations and require introduction of new tools and innovation in order to achieve a fast, reliable and sensitive method to understand normal biological processes and their regulation as well as these cellular properties in disease.     

Primers for sequence characterization and polymorphism detection in the Atlantic salmon (Salmo salar) growth hormone 1 (GH1) gene

We report the identification of intraspecific sequence variation in the Atlantic salmon (Salmo salar) growth hormone 1 gene. Rapid and inexpensive assays for polymorphism detection were developed for 10 sites. Five of the assays detected single nucleotide polymorphisms (SNPs) using polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) analyses, and five were indel polymorphisms, detected using fragment length analyses. The average within population frequency of the most common allele varied from 0.52 to 0.90, and the average within population heterozygosity varied from 0.02 to 0.37 in seven European salmon populations.     

Structural insight for the roles of fas death domain binding to fadd and oligomerization degree of the fas–fadd complex in the death‐inducing signaling complex formation: A computational study

Fas binding to Fas‐associated death domain (FADD) activates FADD–caspase‐8 binding to form death‐inducing signaling complex (DISC) that triggers apoptosis. The Fas–Fas association exists primarily as dimer in the Fas–FADD complex, and the Fas–FADD tetramer complexes have the tendency to form higher order oligomer. The importance of the oligomerized Fas–FADD complex in DISC formation has been confirmed. This study sought to provide structural insight for the roles of Fas death domain (Fas DD) binding to FADD and the oligomerization of Fas DD–FADD complex in activating FADD–procaspase‐8 binding. Results show Fas DD binding to FADD stabilized the FADD conformation, including the increased stability of the critical residues in FADD death effector domain (FADD DED) for FADD–procaspase‐8 binding. Fas DD binding to FADD resulted in the decreased degree of both correlated and anticorrelated motion of the residues in FADD and caused the reversed correlated motion between FADD DED and FADD death domain (FADD DD). The exposure of procaspase‐8 binding residues in FADD that allows FADD to interact with procaspase‐8 was observed with Fas DD binding to FADD. We also observed different degrees of conformational and motion changes of FADD in the Fas DD–FADD complex with different degrees of oligomerization. The increased conformational stability and the decreased degree of correlated motion of the residues in FADD in Fas DD–FADD tetramer complex were observed compared to those in Fas DD–FADD dimer complex. This study provides structural evidence for the roles of Fas DD binding to FADD and the oligomerization degree of Fas DD–FADD complex in DISC formation to signal apoptosis. Proteins 2013. © 2012 Wiley Periodicals, Inc.     

A specific marker,pat, for studying the fate of introduced bacteria and their DNA in soil using a combination of detection techniques

A specific eucaryotic DNA marker from Solanum tuberosum cv Bintje (688 bp patatin cDNA fragment) was cloned into the unique HindIII-site of plasmid RP4. RP4:: pat was transferred from Escherichia coli to Pseudomonas fluorescens R2f by filter mating.Homology to pat was not detected in the microbial population of Ede loamy sand soil, nor in that of the rhizosphere of wheat growing in this soil, as evidenced by colony filter hybridization. More sensitive molecular detection techniques like most-probable-number recovery/hybridization analysis, and analysis of total community DNA from soil by polymerase chain reaction (PCR) amplification did not reveal the presence of the pat sequence either. P. fluorescens R2f (RP4:: pat), introduced into sterile soil extract microcosms, initially showed poor survival and plasmid loss, after which the introduced populations grew and stabilized at a level of about Log₁₀ 7 cfu per mL. Between 25 and 50% of the population maintained the plasmid, as evidenced by filter hybridization of colonies from non-selective agar plates using the pat fragment as probe.Introduced R2f (RP4:: pat) could be recovered from soil microcosms using selective plating followed by colony hybridization and MPN recovery/hybridization with the pat probe. The presence of the pat marker always coincided with the presence of the resistance genes on RP4:: pat, indicating pat was an adequate marker of the presence of this plasmid. In addition, it adequately described the population dynamics of the introduced strain in soil, since no loss of the plasmid occurred.Hybridization to pat was also useful to show transfer of plasmid RP4:: pat to a recipient strain in soil; transfer to indigenous bacteria was not detected.Analysis by slot-blot hybridization of total community DNA extracted from inoculated soils indicated about Log₁₀ 6 cfu per g of dry soil were still detectable. Application of the PCR on this DNA indicated pat was detectable at least at a level of Log₁₀ 4 immunofluorescence-detectable cells per g of dry soil. Thus extraction of total community DNA followed by PCR permitted the detection of genetically engineered microorganisms present in soil as non-culturable cells.     

Aboveground phytochemical responses to belowground herbivory in poplar trees and the consequence for leaf herbivore preference

Belowground (BG) herbivory can influence aboveground (AG) herbivore performance and food preference via changes in plant chemistry. Most evidence for this phenomenon derives from studies in herbaceous plants but studies in woody plants are scarce. Here we investigated whether and how BG herbivory on black poplar (Populus nigra) trees by Melolontha melolontha larvae influences the feeding preference of Lymantria dispar (gypsy moth) caterpillars. In a food choice assay, caterpillars preferred to feed on leaves from trees that had experienced attack by BG herbivores. Therefore, we investigated the effect of BG herbivory on the phytochemical composition of P. nigra trees alone and in combination with AG feeding by L. dispar caterpillars. BG herbivory did not increase systemic AG tree defences like volatile organic compounds, protease inhibitors and salicinoids. Jasmonates and salicylic acid were also not induced by BG herbivory in leaves but abscisic acid concentrations drastically increased together with proline and few other amino acids. Leaf coating experiments with amino acids suggest that proline might be responsible for the caterpillar feeding preference via presumptive phagostimulatory properties. This study shows that BG herbivory in poplar can modify the feeding preference of AG herbivores via phytochemical changes as a consequence of root‐to‐shoot signaling.     

Capillary gas chromatography using electron capture or selected ion monitoring detection for the determination of muramic acid,diaminopimelic acid and the ratio of d/l-alanine in bacteria

Gas chromatographic analyses of muramic acid, diaminopimelic acid and D-alaline, which are specific components of the bacterial cell wall, have been performed using electron capture or selected ion monitoring detection. Intact cells or peptidogylycan preparations were hydrolyzed in HCl and DCl. After purification by cation exchange chromatography, followed by conversion to the N-heptafluobutyrliso-butyl esters, the components were separated on a 25 m fused silica column coated with SE-54 or on a chiral glass capillary column.The detection limits for muramic acid and diaminopimelic acid were about 10 pg using either detection method and the procedure has the potential sensitivity for detecting about 3 × 10⁵ bacterial cells, e.g., Escherichia coli.Mass spectrometric determination of the d/l ratio of alamine in intact cells of Group A streptococci, type M 15 and in peptidogylcan preparations thereof indicated the proportions 10.2% and 10.5% of D-alanine, respectively. The values uncorrected for racemization during acid hydrolysis were 10.3% and 10.7%, respectively.     

Novel high-performance liquid chromatographic assay using fluorescence detection for the quantitation of plasma γ-methylene-10-deazaaminopterin and its major metabolite, 7-hydroxy-γ-methylene-10-deazaaminopterin, in patients with solid cancers in a phase I trial

γ-Methylene-10-deazaaminopterin (MDAM), a unique dihydrofolate reductase inhibitor, has demonstrated antitumor activity against a broad spectrum of human solid tumors in preclinical studies. A novel reversed-phase, ion-pair high-performance liquid chromatography (HPLC) assay that uses fluorescence detection has been developed to quantitate levels of MDAM and its major metabolite, 7-hydroxy-γ-methylene-10-deazaaminopterin (7-OH-MDAM), in human plasma. The recovery of MDAM and 7-OH-MDAM from plasma was >97% by a simple one-step deproteinization process using tetrabutylammonium bromide (TBABr) and methanol. MDAM and 7-OH-MDAM remained stable in plasma over a 28-day test period at ambient temperatures, and neither compound was light-sensitive. The limit of quantitation was 0.005 μM for both MDAM and 7-OH-MDAM. This assay has been found to be simple, sensitive and reproducible in determining plasma concentrations of MDAM and 7-OH-MDAM in patients with solid cancers in a phase I trial.     

Comparison of two filtration-elution procedures to improve the standard methods ISO 10705-1 & 2 for bacteriophage detection in groundwater, surface water and finished water samples

Aim: To select a reliable method for bacteriophage concentration prior detection by culture from surface water, groundwater and drinking water to enhance the sensitivity of the standard methods ISO 10705‐1 & 2. Methods and Results: Artificially contaminated (groundwater and drinking water) and naturally contaminated (surface water) 1‐litre samples were processed for bacteriophages detection. The spiked samples were inoculated with about 150 PFU of F‐specific RNA bacteriophages and somatic coliphages using wastewater. Bacteriophage detection in the water samples was achieved using the standard method without and with a concentration step (electropositive Anodisc membrane or a pretreated electronegative Micro Filtration membrane, MF). For artificially contaminated matrices (drinking and ground waters), recovery rates using the concentration step were superior to 70% whilst analyses without concentration step mainly led to false negative results. Besides, the MF membrane presented higher performances compared with the Anodisc membrane. Conclusion: The concentration of a large volume of water (up to one litre) on a filter membrane avoids false negative results obtained by direct analysis as it allows detecting low number of bacteriophages in water samples. Significance and Impact of the Study: The addition of concentration step before applying the standard method could be useful to enhance the reliability of bacteriophages monitoring in water samples as bio‐indicators to highlight faecal pollution.     

Solid-phase assay for the detection of low-abundance enzymes, and antibodies to enzymes in immune reactions, using acid sphingomyelinase as a model

The development of a solid-phase immunosorbent assay, suitable for use with enzyme antigens, is described. Acid sphingomyelinase and a mouse monoclonal anti-sphingomyelinase antibody have been used to determine optimal conditions for the assay. The assay involves immobilization of a second antibody (anti-mouse IgG) in the wells of a polyvinyl microtiter plate. Soluble immune complexes of first antibody (monoclonal anti-sphingomyelinase) and antigen (sphingomyelinase), incubated in separate vials, are then reacted in the anti-mouse IgG-coated assay wells, and the extent of the cross-reaction between antibody and antigen is measured by direct assay of enzyme retained in the well. A necessary condition of the assay is that antibody must not inhibit enzyme activity, which makes it especially suitable for monoclonal antibodies. The assay finds useful application in hybridoma fluid screening, equivalence point determination, and demonstration of cross-reacting enzyme from various tissue sources.     

Development of a gradient elution high-performance liquid chromatography assay with ultraviolet detection for the determination in plasma of the anticancer peptide [Arg, -Trp, mePhe]-substance P (6–11) (antagonist G), its major metabolites and a C-terminal pyrene-labelled conjugate

[Arg⁶, -Trp^7,9, mePhe⁸]-substance P (6–11), code-named antagonist G, is a novel peptide currently undergoing early clinical trials as an anticancer drug. A sensitive, high efficiency high-performance liquid chromatography (HPLC) method is described for the determination in human plasma of antagonist G and its three major metabolites, deamidated-G (M1), G-minus Met¹¹ (M2) and G[Met¹¹(O)] (M3). Gradient elution was employed using 40 mM ammonium acetate in 0.15% trifluoroacetic acid as buffer A and acetonitrile as solvent B, with a linear gradient increasing from 30 to 100% B over 15 min, together with a microbore analytical column (μBondapak C₁₈, 30 cm×2 mm I.D.). Detection was by UV at 280 nm and the column was maintained at 40°C. Retention times varied by <1% throughout the day and were as follows: G, 13.0 min; M1, 12.2 min; M2, 11.2 min; M3, 10.8 min, and 18.1 min for a pyrene conjugate of G (G–P). The limit of detection on column (LOD) was 2.5 ng for antagonist G, M1–3 and G–P and the limit of quantitation (LOQ) was 20 ng/ml for G and 100 ng/ml for M1–3. Sample clean-up by solid-phase extraction using C₂-bonded 40 μm silica particles (Bond Elut, 1 ml reservoirs) resulted in elimination of interference from plasma constituents. Within-day and between-day precision and accuracy over a broad range of concentrations (100 ng/ml–100 μg/ml) normally varied by <10%, although at the highest concentrations of M1 and M2 studied (50 μg/ml), increased variability and reduced recovery were observed. The new assay will aid in the clinical development of antagonist G.