Tricyclic dihydroquinazolinones as novel 5-HT2C selective and orally efficacious anti-obesity agents

Agonists of the 5-HT_2C receptor have been shown to suppress appetite and reduce body weight in animal models as well as in humans. However, agonism of the related 5-HT_2B receptor has been associated with valvular heart disease. Synthesis and biological evaluation of a series of novel and highly selective dihydroquinazolinone-derived 5-HT_2C agonists with no detectable agonism of the 5-HT_2B receptor is described. Among these, compounds (+)-2a and (+)-3c were identified as potent and highly selective agonists which exhibited weight loss in a rat model upon oral dosing.     

Interaction of Triton X-100 with particulate cardiac guanylate cyclase: comparison between Mg2+- and Mn2+-supported enzyme activities in particulate. detergent-solubilized and detergent-insoluble fractions

Guanylate cyclase activity was determined in a 1000g particulate fraction derived from rabbit heart homogenates using Mg²⁺ or Mn²⁺ as sole cation in the presence and absence of Triton X-100. With Mg²⁺, very little guanylate cyclase activity could be detected in the original particulate fraction assayed with or without Triton, or in the particulate fraction treated with varying concentrations of Triton (detergent-treated mixture) prior to enzyme assay. However, the detergent-solubilized supernatants as well as the detergent-insoluble residues (pellets) derived from detergent-treated mixtures possessed appreciable Mg²⁺-supported enzyme activity. With Mn²⁺, significant enzyme activity was detectable in the original particulate fraction assayed without Triton. Much higher activity was seen in particulate fraction assayed with Triton and in detergent-treated mixtures; the supernatants but not the pellets derived from detergent-treated mixtures possessed even greater activity. The sum of enzyme activity in pellet and supernatant fractions greatly exceeded that of the mixture. When the pellets and supernatants derived from detergenttreated mixtures were recombined, measured enzyme activities were similar to those of the original mixture. With Mg²⁺ or Mn²⁺, the specific activity of guanylate cyclase in pellet and supernatant fractions varied considerably depending on the concentration of Triton used for treatment of the particulate fraction; treatment with low concentrations of Triton (0.2–0.7 μmol/mg protein) gave supernatants showing high activity whereas treatment with relatively greater concentrations of the detergent (>0.7 μmol/mg protein) gave pellets showing high activity. The relative distribution of guanylate cyclase in pellet and supernatant fractions expressed as a function of Triton concentration during treatment (of the particulate fraction) showed that 50 to 80% of the recovered enzyme activity remained in supernatants at low detergent concentrations whereas 50 to 80% of the recovered activity resided in the pellets at higher detergent concentrations. Inclusion of excess Triton in the enzyme assay medium did not alter the specific activity profiles and the relative distribution patterns of the cyclase in pellet versus supernatant fractions. The results demonstrate the inherent potential of cardiac particulate guanylate cyclase to utilize Mg²⁺ in catalyzing the synthesis of cyclic GMP. However, it appears that some factor(s) endogenous to the cardiac particulate fraction severely impairs the expression of Mg²⁺-dependent activity; Mn²⁺-dependent activity is also affected by such factor(s) but apparently less severely. Further, the results suggest that previously reported activities of cardiac particulate guanylate cyclase, despite being assayed with Mn²⁺ and in the presence of Triton X-100, represent underestimation of what otherwise appears to be a highly active enzyme system capable of utilizing physiologically relevant divalent cation such as Mg²⁺.     

Network of long-range concerted chemical shift displacements upon ligand binding to human angiogenin

Molecular recognition models of both induced fit and conformational selection rely on coupled networks of flexible residues and/or structural rearrangements to promote protein function. While the atomic details of these motional events still remain elusive, members of the pancreatic ribonuclease superfamily were previously shown to depend on subtle conformational heterogeneity for optimal catalytic function. Human angiogenin, a structural homologue of bovine pancreatic RNase A, induces blood vessel formation and relies on a weak yet functionally mandatory ribonucleolytic activity to promote neovascularization. Here, we use the NMR chemical shift projection analysis (CHESPA) to clarify the mechanism of ligand binding in human angiogenin, further providing information on long-range intramolecular residue networks potentially involved in the function of this enzyme. We identify two main clusters of residue networks displaying correlated linear chemical shift trajectories upon binding of substrate fragments to the purine- and pyrimidine-specific subsites of the catalytic cleft. A large correlated residue network clusters in the region corresponding to the V₁ domain, a site generally associated with the angiogenic response and structural stability of the enzyme. Another correlated network (residues 40–42) negatively affects the catalytic activity but also increases the angiogenic activity. ¹⁵N-CPMG relaxation dispersion experiments could not reveal the existence of millisecond timescale conformational exchange in this enzyme, a lack of flexibility supported by the very low-binding affinities and catalytic activity of angiogenin. Altogether, the current report potentially highlights the existence of long-range dynamic reorganization of the structure upon distinct subsite binding events in human angiogenin.     

Role of Exopolysaccharide in Aggregatibacter actinomycetemcomitans–Induced Bone Resorption in a Rat Model for Periodontal Disease

Aggregatibacter actinomycetemcomitans a causative agent of periodontal disease in humans, forms biofilm on biotic and abiotic surfaces. A. actinomycetemcomitans biofilm is heterogeneous in nature and is composed of proteins, extracellular DNA and exopolysaccharide. To explore the role played by the exopolysaccharide in the colonization and disease progression, we employed genetic reduction approach using our rat model of A. actinomycetemcomitans-induced periodontitis. To this end, a genetically modified strain of A. actinomycetemcomitans lacking the pga operon was compared with the wild-type strain in the rat infection model. The parent and mutant strains were primarily evaluated for bone resorption and disease. Our study showed that colonization, bone resorption/disease and antibody response were all elevated in the wild-type fed rats. The bone resorption/disease caused by the pga mutant strain, lacking the exopolysaccharide, was significantly less (P < 0.05) than the bone resorption/disease caused by the wild-type strain. Further analysis of the expression levels of selected virulence genes through RT-PCR showed that the decrease in colonization, bone resorption and antibody titer in the absence of the exopolysaccharide might be due to attenuated levels of colonization genes, flp-1, apiA and aae in the mutant strain. This study demonstrates that the effect exerted by the exopolysaccharide in A. actinomycetemcomitans-induced bone resorption has hitherto not been recognized and underscores the role played by the exopolysaccharide in A. actinomycetemcomitans-induced disease.     

Ultrafiltration-based techniques for rapid and simultaneous concentration of multiple microbe classes from 100-L tap water samples

This study focused on ultrafiltration as a technique for simultaneously concentrating and recovering viruses, bacteria and parasites in 100-L drinking water samples. A chemical dispersant, sodium polyphosphate, and Tween 80 were used to increase microbial recovery efficiencies. Secondary concentration was performed to reduce sample volumes to 3-5 mL for analysis using tissue culture, microscopy, and real-time PCR and RT-PCR. At seeding levels of 100-1000 (CFU, PFU, oocysts, or particles), a "high-flux" ultrafiltration procedure was found to achieve mean recoveries of 51-94% of simultaneously seeded MS2 bacteriophage, echovirus 1, Salmonella enterica subsp. enterica serovar Typhimurium, Bacillus atrophaeus subsp. globigii endospores, Cryptosporidium parvum oocysts, and 4.5-mum microspheres. When 4-7% of the final sample concentrate volume was assayed using real-time PCR and RT-PCR, overall method sensitivities were <100 C. parvum oocysts, <240 PFU echovirus 1, <100 CFU Salmonella and approximately 160 CFU B. atrophaeus spores in 100-L drinking water samples. The "high-flux" ultrafiltration procedure required approximately 2 h, including time required for backflushing. Secondary concentration procedures required an additional 1-3 h, while nucleic acid extraction and real-time PCR procedures required an additional 2-2.5 h. Thus, this study demonstrated that efficient recovery and sensitive detection of diverse microbes in 100-L drinking water samples could be achieved within 5-8 h using ultrafiltration, rapid secondary processing techniques, and real-time PCR.     

MODBASE, a database of annotated comparative protein structure models

MODBASE (http://guitar.rockefeller.edu/modbase) is a relational database of annotated comparative protein structure models for all available protein sequences matched to at least one known protein structure. The models are calculated by MODPIPE, an automated modeling pipeline that relies on PSI-BLAST, IMPALA and MODELLER. MODBASE uses the MySQL relational database management system for flexible and efficient querying, and the MODVIEW Netscape plugin for viewing and manipulating multiple sequences and structures. It is updated regularly to reflect the growth of the protein sequence and structure databases, as well as improvements in the software for calculating the models. For ease of access, MODBASE is organized into different datasets. The largest dataset contains models for domains in 304 517 out of 539 171 unique protein sequences in the complete TrEMBL database (23 March 2001); only models based on significant alignments (PSI-BLAST E-value < 10^–4) and models assessed to have the correct fold are included. Other datasets include models for target selection and structure-based annotation by the New York Structural Genomics Research Consortium, models for prediction of genes in the Drosophila melanogaster genome, models for structure determination of several ribosomal particles and models calculated by the MODWEB comparative modeling web server.     

Development of a Rapid Method for Simultaneous Recovery of Diverse Microbes in Drinking Water by Ultrafiltration with Sodium Polyphosphate and Surfactants

The ability to simultaneously concentrate diverse microbes is an important consideration for sample collection methods that are used for emergency response and environmental monitoring when drinking water may be contaminated with an array of unknown microbes. This study focused on developing a concentration method using ultrafilters and different combinations of a chemical dispersant (sodium polyphosphate [NaPP]) and surfactants. Tap water samples were seeded with bacteriophage MS2, Escherichia coli, Enterococcus faecalis, Cryptosporidium parvum, 4.5-μm microspheres, Salmonella enterica serovar Typhimurium, Bacillus globigii endospores, and echovirus 1. Ten-liter tap water samples were concentrated to ~250 ml in 12 to 42 min, depending on the experimental condition. Initial experiments indicated that pretreating filters with fetal bovine serum or NaPP resulted in an increase in microbe recovery. The addition of NaPP to the tap water samples resulted in significantly higher microbe and microsphere recovery efficiencies. Backflushing of the ultrafilter was found to significantly improve recovery efficiencies. The effectiveness of backflushing was improved further with the addition of Tween 80 to the backflush solution. The ultrafiltration method developed in this study, incorporating the use of NaPP pretreatment and surfactant solution backflushing, was found to recover MS2, C. parvum, microspheres, and several bacterial species with mean recovery efficiencies of 70 to 93%. The mean recovery efficiency for echovirus 1 (49%) was the lowest of the microbes studied for this method. This research demonstrates that ultrafiltration can be effective for recovering diverse microbes simultaneously in tap water and that chemical dispersants and surfactants can be beneficial for improving microbial recovery using this technique.     

Structure/function mapping of amino acids in the N-terminal zinc finger of the human immunodeficiency virus type 1 nucleocapsid protein: residues responsible for nucleic acid helix destabilizing activity

The nucleocapsid protein (NC) of HIV-1 is 55 amino acids in length and possesses two CCHC-type zinc fingers. Finger one (N-terminal) contributes significantly more to helix destabilizing activity than finger two (C-terminal). Five amino acids differ between the two zinc fingers. To determine at the amino acid level the reason for the apparent distinction between the fingers, each different residue in finger one was incrementally replaced by the one at the corresponding location in finger two. Mutants were analyzed in annealing assays with unstructured and structured substrates. Three groupings emerged: (1) those similar to wild-type levels (N17K, A25M), (2) those with diminished activity (I24Q, N27D), and (3) mutant F16W, which had substantially greater helix destabilizing activity than that of the wild type. Unlike I24Q and the other mutants, N27D was defective in DNA binding. Only I24Q and N27D showed reduced strand transfer in in vitro assays. Double and triple mutants F16W/I24Q, F16W/N27D, and F16W/I24Q/N27D all showed defects in DNA binding, strand transfer, and helix destabilization, suggesting that the I24Q and N27D mutations have a dominant negative effect and abolish the positive influence of F16W. Results show that amino acid differences at positions 24 and 27 contribute significantly to finger one's helix destabilizing activity.     

Synconset Waves and Chains: Spiking Onsets in Synchronous Populations Predict and Are Predicted by Network Structure

Synfire waves are propagating spike packets in synfire chains, which are feedforward chains embedded in random networks. Although synfire waves have proved to be effective quantification for network activity with clear relations to network structure, their utilities are largely limited to feedforward networks with low background activity. To overcome these shortcomings, we describe a novel generalisation of synfire waves, and define ‘synconset wave’ as a cascade of first spikes within a synchronisation event. Synconset waves would occur in ‘synconset chains’, which are feedforward chains embedded in possibly heavily recurrent networks with heavy background activity. We probed the utility of synconset waves using simulation of single compartment neuron network models with biophysically realistic conductances, and demonstrated that the spread of synconset waves directly follows from the network connectivity matrix and is modulated by top-down inputs and the resultant oscillations. Such synconset profiles lend intuitive insights into network organisation in terms of connection probabilities between various network regions rather than an adjacency matrix. To test this intuition, we develop a Bayesian likelihood function that quantifies the probability that an observed synfire wave was caused by a given network. Further, we demonstrate it''s utility in the inverse problem of identifying the network that caused a given synfire wave. This method was effective even in highly subsampled networks where only a small subset of neurons were accessible, thus showing it''s utility in experimental estimation of connectomes in real neuronal-networks. Together, we propose synconset chains/waves as an effective framework for understanding the impact of network structure on function, and as a step towards developing physiology-driven network identification methods. Finally, as synconset chains extend the utilities of synfire chains to arbitrary networks, we suggest utilities of our framework to several aspects of network physiology including cell assemblies, population codes, and oscillatory synchrony.