4,997 research outputs found
Novel Bifunctional Compounds Targeting Nicotine and Dopamine Receptor Subtypes: Synthesis and Pharmacological Investigation
Future therapies for diseases associated with altered dopaminergic signaling, including Parkinson\u2019s disease, schizophrenia and drug addiction or drug dependence, may be substantially built on the existence of intramembrane receptor-receptor interactions within receptor mosaics where it is believed that the D2
receptor may operate as the \u201chub receptor\u201d [1]. In particular, it has been proposed that striatal dopaminergic neurotransmission could be under the control of receptor heteromers containing D2 autoreceptors and non-alpha7 nicotinic acetylcholine
heteroreceptors [2]. In an attempt to investigate the biochemical and functional interactions
between dopaminergic autoreceptors and nAChRs containing the beta2 subunit, we
designed and prepared a group of potential bifunctional derivatives incorporating a D2/D3 agonist moiety and a nicotinic alpha4beta2 antagonist fragment, linked by polymethylene spacers of different length. The new compounds have been biologically characterized for their affinity/specificity/functional profile at the target nACh and D2 receptor subtypes. The synthesis of the designed derivatives and the results of their pharmacological investigation will be presented and discussed. [1] K.Fuxe, D.Marcellino, A.Rivera, Z.Diaz-Cabiale, M.Filip, B.Gago, D.C.S.Roberts,
U.Langel, S.Genedani, L.Ferraro, A.de la Calle, J.Narvaez, S.Tanganelli,
A.Woods, L.F.Agnati, Brain Res.Rev., 58, 2008, 415-452. [2] D.Quarta, F.Ciruela, K.Patkar, J.Borycz, M.Solinas, C.Lluis, R.Franco, R.A.Wise,
S.R.Goldberg, B.T.Hope, A.Woods, S.Ferr\ue9, Neuropsychopharmacol., 32, 2007, 35-42
Folates in Trypanosoma brucei: achievements and opportunities
Trypanosoma brucei is the agent of human African trypanosomiasis (HAT), a neglected disease that threatens the lives of 65 million people in sub-Saharan Africa every year. Unfortunately, available therapies are unsatisfactory, due primarily to safety issues and development of drug resistance. Over the last decades significant effort has been made in the discovery of new potential anti-HAT agents, with help from the World Health Organization (WHO) and private\u2013public partnerships such as the Drugs for Neglected Diseases Initiative (DNDi). Whereas antifolates have been a valuable source of drugs against bacterial infections and malaria, compounds effective against T. brucei have not yet been identified. Considering the relatively simple folate metabolic pathway in T. brucei, along with results obtained in this research field so far, we believe that further investigations might lead to effective chemotherapeutic agents. Herein we present a selection of the more promising results obtained so far in this field, underlining the opportunities that could lead to successful therapeutic approaches in the future
Clustering protein environments for function prediction: finding PROSITE motifs in 3D
Background: Structural genomics initiatives are producing increasing numbers of three-dimensional (3D) structures for which there is little functional information. Structure-based annotation of molecular function is therefore becoming critical. We previously presented FEATURE, a method for describing microenvironments around functional sites in proteins. However, FEATURE uses supervised machine learning and so is limited to building models for sites of known importance and location. We hypothesized that there are a large number of sites in proteins that are associated with function that have not yet been recognized. Toward that end, we have developed a method for clustering protein microenvironments in order to evaluate the potential for discovering novel sites that have not been previously identified. Results: We have prototyped a computational method for rapid clustering of millions of microenvironments in order to discover residues whose surrounding environments are similar and which may therefore share a functional or structural role. We clustered nearly 2,000,000 environments from 9,600 protein chains and defined 4,550 clusters. As a preliminary validation, we asked whether known 3D environments associated with PROSITE motifs were "rediscovered". We found examples of clusters highly enriched for residues that share PROSITE sequence motifs. Conclusion: Our results demonstrate that we can cluster protein environments successfully using a simplified representation and K-means clustering algorithm. The rediscovery of known 3D motifs allows us to calibrate the size and intercluster distances that characterize useful clusters. This information will then allow us to find new clusters with similar characteristics that represent novel structural or functional sites
A distributed interleaving scheme for efficient access to WideIO DRAM memory
Achieving the main memory (DRAM) required bandwidth at acceptable
power levels for current and future applications is a major
challenge for System-on-Chip designers for mobile platforms.
Three dimensional (3D) integration and 3D stacked DRAM memories
promise to provide a significant boost in bandwidth at low
power levels by exploiting multiple channels and wide data interfaces.
In this paper, we address the problem of efficiently exploiting
the multiple channels provided by standard (JEDEC’s WIDEIO)
3D-stacked memories, to extract maximal effective bandwidth
and minimize latency for main memory access. We propose a new
distributed interleaved access method that leverages the on-chip interconnect
to simplify the design and implementation of the DRAM
controller, without impacting performance compared to traditional
centralized implementations. We perform experiments on realistic
workload for a mobile communication and multimedia platform
and show that our proposed distributed interleaving memory access
method improves the overall throughput while minimally impacting
the performance of latency sensitive communication flows
Design and Optimization of a Lactate Amperometric Biosensor based on Lactate Oxidase and Multi Walled-Carbon Nanotubes
Lactate concentration in physiological fluids is an indicator of the energy production under anaerobic conditions of the whole organism [1]. Normal value for lactate level in blood ranges from 0.5 – 2.5 mM. Blood lactate values exceeding 7-8 mM are sometimes associated with a fatal outcome. The lactate level in blood is elevated under number of conditions. It is a major indicator of ischemic conditions, e.g. under the category of tissue hypoxia, the individual causes include shock (hypovolemic, cardiogenic or endotoxic), respiratory failure (asphyxia) and severe congestive heart failure. Gauging blood lactate is also relevant for the results of exercise and athletic performance [2]. Several approaches were made to develop a number of improved methods for lactic acid determination, such ad optic techniques (HPLC, mass spectroscopy, ion exchange chromatography, etc.) and electrochemical techniques (potentiometric and voltammetric detections, FET-based sensors, etc.) [1]. The present study is focused on development of technologies for lactate detection based on amperometric measures employing lactate oxidase (LOD). The project’s aim is double: the development of biosensors which can be integrated in Petri dishes for monitoring cell cultures, on one hand, and which can be integrated in point-of-care devices for human monitoring in personalized therapies, on the other hand. In both the cases, analysis of more than one substrate at the same time will be considered. Nanotechnology may be used in the optimization of electrodes with carbon nanotubes (CNT). Previous studies showed that CNTs can highly improve the electrocatalytic activity in electrochemical devices for monitoring metabolites [3]
Power Corrections to Perturbative QCD and OPE in Gluon Green Functions
We show that QCD Green functions in Landau Gauge exhibit sizable
corrections to the expected perturbative behavior at energies as high as 10
GeV. We argue that these are due to a -condensate which does not vanish
in Landau gauge.Comment: 3 pages 1 figure lattice2001 (gaugetheories
Phaseolus vulgaris L. Extract: Alpha-amylase inhibition against metabolic syndrome in mice
To examine the effects of the alpha-amylase inhibitor isoform 1 called phaseolamin, a standardized extract from white kidney beans (Phaseolus vulgaris L) was tested against the hallmarks of metabolic syndrome. The efficacy of a per os repeated treatment with P. vulgaris extract (500 mg/kg) was compared with metformin (100 mg/kg) and atorvastatin (10 mg/kg) in a model of metabolic syndrome evoked by prolonged high fat diet (HFD; week 1 to week 19) in C57BL/6 mice. Bean extract and compounds administration started after metabolic syndrome establishment (week 11). P. vulgaris extract reduced the body weight overtime, as well as effectively lowered glycaemia, triglycerides, and cholesterol. On week 19, bean extract normalized the HFD-evoked tolerance to glucose and insulin. According to the phytochemical characterization, it inhibited the alpha-amylase activity. Animals treated with the extract were rescued from motor impairments and nociceptive threshold alterations induced by HFD. Specific organs analysis revealed that P. vulgaris extract decreased hepatic steatosis and lipid peroxidation in liver. It protected the heart from HFD oxidative alterations increasing the expression of the detoxifying enzymes catalase and glutathione reductase, and normalizing NADH dehydrogenase level. The histological analysis of aorta showed a protection about the development of fatty streaks in the muscular layers. In conclusion, a prolonged treatment with the standardized extract of P. vulgaris significantly reduced several pathological features related to a metabolic syndrome-like condition; a multifactorial approach that candidates this vegetal product as a possible therapeutic option against metabolic syndrome
Artefacts and <A2> power corrections : revisiting the MOM Z_psi and Z_V
We extract the power corrections due to the A^2 condensate in the overlap
quark propagator (vector part of the inverse propagator Z_psi). The results are
consistent with the previous gluon analysis. The role of artefacts is
extensively discussed.Comment: 33 pages, 5 figure
Sustainable Occupational Safety and Health Interventions: A Study on the Factors for an Effective Design
Effective interventions are a priority in continuously changing occupational environments, particularly in
companies struggling to manage health and safety in the workplace. Practitioners may consider practical solutions
for Occupational Safety and Health (OSH) improvement as a panacea for all major problems. However, they
may overlook a range of other factors that affect the success of such solutions. The way in which a solution is
developed, designed, implemented, and evaluated determines its impact. Participatory interventions are one way
of ensuring better results. Consequently, this study proposes a way of establishing sustainable, effective, and
efficient interventions by defining the required processes and actively involving responsible actors (i.e., who,
when, and how).
A national OSH intervention for introducing a near-miss management system, funded by the Italian National
Institute for Insurance against Accidents at Work (INAIL), is used as a reference because its development process
includes an accurate design stage. Based on this intervention, a multistep design process is built to answer how
(how the intervention will persist by defining the context, processes, and scenarios), who (who will be the
responsible actors actively participating), and when (when actors will be involved) questions.
The design process established for the intervention, although within a specific context, provides clues to
discriminant factors that would enable effectiveness in general interventions, and the proposed system for near-
miss management generates insights that may be generalizable to other OSH interventions developed in different
environments
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