Differences in effect of Mn(II), Fe(III), Co(II), and Zn(II) ions on trypsinogen activation

The influence of Mn2+, Fe3+, Co2+, and Zn2+ ions on the extent of trypsinogen activation has been determined for several ion concentrations at pH 7.4 and 36.4 degrees C. For the Mn2+ ion also the autocatalytic rate constants have been detected. The effect of Ca2+ has been reinvestigated for comparison purposes. The apparent dissociation constants of KMn2+ = 0.01 (M) and KCa2+ = 0.02 (M) have been found for the given metal ion-trypsinogen complexes. For Co2+ ion, however, only a slight effect and for Fe3+ and Zn2+ ions no significant effect could be detected on trypsinogen activation. The investigated ions are of empty, open, and completed d subshells of electrons and they are different also in their ionic size. The differences in effects of the ions are discussed on the basis of these factors.     

Seasonal modulation of immunity by melatonin and gonadal steroids in a short day breeder goat Capra hircus

Role of melatonin in regulation of immunity and reproduction has never been studied in detail in goats. The aim of the present study was to explore hormonal regulation of immunity in goats with special reference to melatonin. Plasma of male and female goats (n = 18 per sex per season) was processed for hormonal (estrogen, testostrone, and melatonin) and cytokine (interleukin [IL-2], IL-6, and tumor necrosis factor α) measurements during three seasons, i.e., summer, monsoon, and winter. To assess cell-mediated immune response, percent stimulation ratio of thymocytes was recorded during three seasons. To support and establish the modulation by hormones, Western blot analysis for expressions of melatonin receptors (MT1, MT2), androgen receptor, and estrogen receptor α and estimations of marker enzymes, arylalkylamine N-acetyltransferase for melatonin and 3β-hydroxysteroid dehydrogenase activities for steroidogenesis were performed in thymus. All the hormones and cytokines were estimated by commercial kits. Biochemical, immunologic, and Western blot analyses were done by standardized protocols. We noted a significant increase in estrogen and testosterone levels (P < 0.05) in circulation during monsoon along with melatonin (P < 0.05) presenting a parallel relationship. Expressions of melatonin receptors (MT1 and MT2) in thymus of both the sexes were significantly high (P < 0.01) during winter. Estrogen receptor α expression in female thymus was significantly high during monsoon (P < 0.05). However, androgen receptor showed almost static expression pattern in male thymus during three seasons. Further, both arylalkylamineN-acetyltransferase and 3β-hydroxysteroid dehydrogenase enzyme activities were significantly high (P < 0.05; P < 0.01, respectively) during monsoon. These results suggest that there may be a functional parallelism between gonadal steroids and melatonin as melatonin is progonadotrophic in goats. Cell-mediated immune parameters (percent stimulation ratio of thymocytes) and circulatory levels of cytokines (IL-2, IL-6, and tumor necrosis factor α) were significantly high (P < 0.01) during monsoon. In vitro supplementation of gonadal steroids to T-cell culture suppressed immunity but cosupplementation with melatonin restored it. Further, we may also suggest that reproductive and immune seasonality are maintained by variations in circulatory hormones and local synthesis of melatonin and gonadal steroids. These functional interactions between melatonin and gonadal steroid might be of great importance in regulating the goat immunity by developing some hormonal microcircuit (gonadal steroid and melatonin) in lymphatic organs.     

Uncovering small membrane proteins in pathogenic bacteria: Regulatory functions and therapeutic potential

Bacterial small proteins (below 50 amino acids) encoded by small open reading frames (sORFs) are recognized as an emerging class of functional molecules that have been largely overlooked in the past. While some were uncovered serendipitously, global approaches have recently been developed to detect these sORFs. A large portion of small proteins appears to be hydrophobic and located in the bacterial membrane. In the present review, we describe functional small hydrophobic proteins discovered in pathogenic bacteria and report recent advances in the discovery of additional ones. Small membrane proteins contribute to bacterial adaptation to changing environments and often appear to be implicated in negative feedback regulation loops by modulating the function or stability of larger membrane proteins. A subset of these proteins belongs to toxin-antitoxin modules. We highlight the features of characterized hydrophobic small proteins that may pave the way for identification of the functional small proteins among novel sORFs discovered. Besides providing new insights into bacterial pathogenesis, identification of naturally occurring small hydrophobic proteins of pathogenic bacteria can lead to new therapeutic interventions, as recently shown with the development of synthetic peptides derived from natural small proteins that display antibacterial or antivirulence properties.     

The association−dissociation behavior of the ApoE proteins: kinetic and equilibrium studies

The apolipoprotein E family consists of three major protein isoforms: apolipoprotein E4 (ApoE4), ApoE3, and ApoE2. The isoforms, which contain 299 residues, differ only by single-amino acid changes, but of the three, only ApoE4 is a risk factor for Alzheimer’s disease. At micromolar concentrations, lipid-free ApoE exists predominantly as tetramers. In more dilute solutions, lower-molecular mass species predominate. Using fluorescence correlation spectroscopy (FCS), intermolecular fluorescence resonance energy transfer (FRET), and sedimentation methods, we found that the association?dissociation reaction of ApoE can be modeled with a monomer?dimer?tetramer process. Equilibrium constants have been determined from the sedimentation data, while the individual rate constants for association and dissociation were determined by measurement of the kinetics of dissociation of ApoE and are in agreement with the equilibrium constants. Dissociation kinetics as measured by intermolecular FRET show two phases reflecting the dissociation of tetramer to dimer and of dimer to monomer, with dissociation from tetramer to dimer being more rapid than the dissociation from dimer to monomer. The rate constants differ for the different ApoE isoforms, showing that the association?dissociation process is isoform specific. Strikingly, the association rate constants are almost 2 orders of magnitude slower than expected for a diffusion-controlled process. Dissociation kinetics were also monitored by tryptophan fluorescence in the presence of acrylamide and the data found to be consistent with the monomer?dimer?tetramer model. The approach combining multiple methods establishes the reaction scheme of ApoE self-association.     

18F-FDG PET/CT in lymphomas: assessment difficulties due to illness characteristics, and comparison with literature data

Fluor-18-deoxy-glucose (18F-FDG or FDG) positron emission tomography - computer tomography (PET/CT) has recently become integrated into the clinical routine of patients with lymphoma in Hungary. The basic condition of risk-adapted treatment of these patients is the exact staging and early objective evaluation of the effectiveness of therapy. Between 1 May 2007 and 31 October 2010, 1862 18F-FDG PET/CT examinations were conducted for lymphoma patients at the PET/CT Center in Debrecen. This is more than 15% of the total examined patient population, and this rate shows a slight increase with each year. Based on the experience obtained from lymphoma patients by routine metabolic PET/CT scans we analyzed the difficulties of the evaluation in different time frames of patients' management. It is well known that FDG uptake of lymphomas depends on multiple factors. Although most histological subtypes are associated with uptake of FDG, the intensity of the tracer uptake is different. Different intensity of FDG uptake of the same type of lymphoma following therapeutic procedures might cause difficulties in the evaluation of the scans ensuring that primary staging by PET/CT is highly required for precise measurement and reliable comparison of data. Extranodal involvement was detected in ~40% of the patients with variable rate of prevalence. Extranodal involvement is associated with great diversity and in most cases it is not characteristic of the illness and might appear in different forms and in any organs. Additionally, because accompanying disease may produce false positive results, detailed clinical data and precise case history is highly required.     

Mass spectrometry-based protein footprinting characterizes the structures of oligomeric apolipoprotein E2, E3, and E4

The three common isoforms of apolipoprotein E (ApoE) differ at two sites in their 299 amino acid sequence; these differences modulate the structure of ApoE to affect profoundly the isoform associations with disease. The ε4 allele in particular is strongly associated with Alzheimer's disease. The study of the structural effects of these mutation sites in aqueous media is hampered by the aggregation proclivity of each ApoE isoform. Hence, understanding the differences between isoforms has thus far relied on lower resolution biophysical measurements, mutagenesis, homology studies, and the use of truncated ApoE variants. In this study, we report two comparative studies of the ApoE family by using the mass spectrometry-based protein footprinting methods of FPOP and glycine ethyl ester (GEE) labeling. The first experiment examines the three full-length WT isoforms in their tetrameric state and finds that the overall structures are similar, with the exception of M108 in ApoE4 which is more solvent-accessible in this isoform than in ApoE2 and ApoE3. The second experiment provides clear evidence, from a comparison of the footprinting results of the wild-type proteins and a monomeric mutant, that several residues in regions 183-205 and 232-251 are involved in self-association.     

Tetralone derivatives are MIF tautomerase inhibitors and attenuate macrophage activation and amplify the hypothermic response in endotoxemic mice

Macrophage migration inhibitory factor (MIF) is a pro-inflammatory cytokine playing crucial role in immunity. MIF exerts a unique tautomerase enzymatic activity that has relevance concerning its multiple functions and its small molecule inhibitors have been proven to block its pro-inflammatory effects. Here we demonstrate that some of the E-2-arylmethylene-1-tetralones and their heteroanalogues efficiently bind to MIF’s active site and inhibit MIF tautomeric (enolase, ketolase activity) functions. A small set of the synthesised derivatives, namely compounds (4), (23), (24), (26) and (32), reduced inflammatory macrophage activation. Two of the selected compounds (24) and (26), however, markedly inhibited ROS and nitrite production, NF-κB activation, TNF-α, IL-6 and CCL-2 cytokine expression. Pre-treatment of mice with compound (24) exaggerated the hypothermic response to high dose of bacterial endotoxin. Our experiments suggest that tetralones and their derivatives inhibit MIF’s tautomeric functions and regulate macrophage activation and thermal changes in severe forms of systemic inflammation.     

Distinct Distribution Pattern of Hepatitis B Virus Genotype C and D in Liver Tissue and Serum of Dual Genotype Infected Liver Cirrhosis and Hepatocellular Carcinoma Patients

Aims

The impact of co-infection of several hepatitis B virus (HBV) genotypes on the clinical outcome remains controversial. This study has for the first time investigated the distribution of HBV genotypes in the serum and in the intrahepatic tissue of liver cirrhotic (LC) and hepatocellular carcinoma (HCC) patients from India. In addition, the genotype-genotype interplay and plausible mechanism of development of HCC has also been explored.

Methods

The assessment of HBV genotypes was performed by nested PCR using either surface or HBx specific primers from both the circulating virus in the serum and replicative virus that includes covalently closed circular DNA (cccDNA) and relaxed circular DNA (rcDNA) of HBV from the intrahepatic tissue. The integrated virus within the host chromosome was genotyped by Alu-PCR method. Each PCR products were cloned and sequences of five randomly selected clones were subsequently analysed.

Results

HBV/genotype D was detected in the serum of all LC and HCC patients whereas the sequences of the replicative HBV DNA (cccDNA and rcDNA) from the intrahepatic tissue of the same patients revealed the presence of both HBV/genotype C and D. The sequences of the integrated viruses exhibited the solo presence of HBV/genotype C in the majority of LC and HCC tissues while both HBV/genotype C and D clones were found in few patients in which HBV/genotype C was predominated. Moreover, compared to HBV/genotype D, genotype C had higher propensity to generate double strand breaks, ER stress and reactive oxygen species and it had also showed higher cellular homologous-recombination efficiency that engendered more chromosomal rearrangements, which ultimately led to development of HCC.

Conclusions

Our study highlights the necessity of routine analysis of HBV genotype from the liver tissue of each chronic HBV infected patient in clinical practice to understand the disease prognosis and also to select therapeutic strategy.     

A Real-Time Clinical Endoscopic System for Intraluminal,Multiplexed Imaging of Surface-Enhanced Raman Scattering Nanoparticles

The detection of biomarker-targeting surface-enhanced Raman scattering (SERS) nanoparticles (NPs) in the human gastrointestinal tract has the potential to improve early cancer detection; however, a clinically relevant device with rapid Raman-imaging capability has not been described. Here we report the design and in vivo demonstration of a miniature, non-contact, opto-electro-mechanical Raman device as an accessory to clinical endoscopes that can provide multiplexed molecular data via a panel of SERS NPs. This device enables rapid circumferential scanning of topologically complex luminal surfaces of hollow organs (e.g., colon and esophagus) and produces quantitative images of the relative concentrations of SERS NPs that are present. Human and swine studies have demonstrated the speed and simplicity of this technique. This approach also offers unparalleled multiplexing capabilities by simultaneously detecting the unique spectral fingerprints of multiple SERS NPs. Therefore, this new screening strategy has the potential to improve diagnosis and to guide therapy by enabling sensitive quantitative molecular detection of small and otherwise hard-to-detect lesions in the context of white-light endoscopy.     

A hybrid least squares and principal component analysis algorithm for Raman spectroscopy

Raman spectroscopy is a powerful technique for detecting and quantifying analytes in chemical mixtures. A critical part of Raman spectroscopy is the use of a computer algorithm to analyze the measured Raman spectra. The most commonly used algorithm is the classical least squares method, which is popular due to its speed and ease of implementation. However, it is sensitive to inaccuracies or variations in the reference spectra of the analytes (compounds of interest) and the background. Many algorithms, primarily multivariate calibration methods, have been proposed that increase robustness to such variations. In this study, we propose a novel method that improves robustness even further by explicitly modeling variations in both the background and analyte signals. More specifically, it extends the classical least squares model by allowing the declared reference spectra to vary in accordance with the principal components obtained from training sets of spectra measured in prior characterization experiments. The amount of variation allowed is constrained by the eigenvalues of this principal component analysis. We compare the novel algorithm to the least squares method with a low-order polynomial residual model, as well as a state-of-the-art hybrid linear analysis method. The latter is a multivariate calibration method designed specifically to improve robustness to background variability in cases where training spectra of the background, as well as the mean spectrum of the analyte, are available. We demonstrate the novel algorithm's superior performance by comparing quantitative error metrics generated by each method. The experiments consider both simulated data and experimental data acquired from in vitro solutions of Raman-enhanced gold-silica nanoparticles.