Natural Products based P-glycoprotein Activators for Improved ß-amyloid Clearance in Alzheimer's Disease: An in silico Approach.

Alzheimer's disease is an age related disorder and is defined to be progressive, irreversible neurodegenerative disease. The potential targets which are associated with the Alzheimer's disease are cholinesterases, N-methyl-D-aspartate receptor, Beta secretase 1, Pregnane X receptor (PXR) and P-glycoprotein (Pgp). P-glycoprotein is a member of the ATP binding cassette (ABC) transporter family, which is an important integral of the blood-brain, blood-cerebrospinal fluid and the blood-testis barrier. Reports from the literature provide evidences that the up-regulation of the efflux pump is liable for a decrease in ß -amyloid intracellular accumulation and is an important hallmark in Alzheimer's disease (AD). Thus, targeting ß-amyloid clearance by stimulating Pgp could be a useful strategy to prevent Alzheimer's advancement. Currently available drugs provide limited effectiveness and do not assure to cure Alzheimer's disease completely. On the other hand, the current research is now directed towards the development of synthetic or natural based therapeutics which can delay the onset or progression of Alzheimer's disease. Since ancient time medicinal plants such as Withania somnifera, Bacopa monieri, Nerium indicum have been used to prevent neurological disorders including Alzheimer's disease. Till today around 125 Indian medicinal plants have been screened on the basis of ethnopharmacology for their activity against neurological disorders. In this paper, we report bioactives from natural sources which show binding affinity towards the Pgp receptor using ligand based pharmacophore development, virtual screening, molecular docking and molecular dynamics simulation studies for the bioactives possessing acceptable ADME properties. These bioactives can thus be useful to treat Alzheimer's disease.

Limits and possibilities experienced by nurses in the treatment of women with chronic venous ulcers / Límites y posibilidades vividas por enfermeras en el tratamiento de mujeres con úlcera venosa crónica / Limites e possibilidades vivenciados por enfermeiras no tratamento de mulheres com úlcera venosa crônica

Objective To understand the experiences and expectations of nurses in the treatment of women with chronic venous ulcers. Method Phenomenological research was based on Alfred Schütz, whose statements were obtained in January, 2012, through semi-structured interviews with seven nurses. Results The nurse reveals the difficulties presented by the woman in performing self-care, the perceived limitations in the treatment anchored in motivation, and the values and beliefs of women. It showed professional frustration because venous leg ulcer recurrence, lack of inputs, interdisciplinary work and training of nursing staff. There was an expected adherence to the treatment of women, and it emphasized the need for ongoing care, supported self-care and standard practices in treatment. Conclusion That treatment of chronic venous leg ulcers constitutes a challenge that requires collective investment, involving women, professionals, managers and health institutions. .

Objetivo Comprender las experiencias y expectativas de enfermeras en el tratamiento de mujeres con úlcera venosa crónica. Método Investigación fenomenológica fundamentada en Alfred Schutz, que buscó Se realizó entrevista semiestructurada con siete enfermeras, en enero del 2012. Resultados La enfermera revela dificultades presentadas por la mujer para realizar el autocuidado, percibe limitaciones en el tratamiento relacionadas con la desmotivación, los valores y las creencias de las mujeres. Refiere frustración profesional debido a la recidiva de la lesión, a la falta de insumos, al deficiente trabajo interdisciplinar y a la limitada capacitación del equipo de enfermeras. Espera la adhesión de la mujer al tratamiento y resalta la necesidad del cuidado continuo, del autocuidado apoyado y de estandarizar conductas de tratamiento. Conclusión El tratamiento de la úlcera venosa crónica es un desafío que requiere contribución colectiva, involucrando a las mujeres, a los profesionales, a los gestores y a las instituciones de salud. .

Objetivo Compreender as experiências e expectativas de enfermeiras no tratamento de mulheres com úlcera venosa crônica na Atenção Primária à Saúde. Método Pesquisa fundamentada na fenomenologia social de Alfred Schütz, com depoimentos obtidos em janeiro de 2012, por meio de entrevista semiestruturada com sete enfermeiras. Resultados As enfermeiras revelam dificuldades apresentadas pelas mulheres com úlcera venosa crônica para realizar o autocuidado, percebem limitações na terapêutica ancoradas na desmotivação e nos valores e crenças das mulheres. Referem frustração profissional em razão da recidiva da lesão, falta de insumos e tecnologia, de trabalho interdisciplinar e da capacitação da equipe de enfermagem. Esperam a adesão das mulheres ao tratamento e ressaltam a necessidade do cuidado contínuo, do autocuidado apoiado e da padronização de condutas no tratamento. Conclusão O tratamento da úlcera venosa crônica constitui-se em um desafio que requer investimento coletivo, envolvendo a mulher, os profissionais, os gestores e as instituições de saúde. .

Automated analysis of routinely generated preclinical pharmacokinetic and pharmacodynamic data.

Model-based analysis of routinely generated pharmacokinetic and pharmacodynamic (PK-PD) data is a key component of preclinical drug discovery. The work process of such analyses can be automated by properly designed computer programs that reduce the number of manual steps, resulting in time saving and significantly fewer errors. Critical decisions can still be made by modelers. Using concrete animal data examples this paper illustrates when, and demonstrates how, automated PK-PD approaches can be used and what benefits they offer to the modeling and simulation community. Specifically, we describe two compound optimization case studies from drug discovery projects, and also demonstrate how a subsequent optimization step to predict the human dose can be coupled to an automated approach.

Receptor-based discovery strategies for insecticides and parasiticides: a review.

Drug discovery is an iterative process with high risks and low chance of success. New genomics technologies allow veterinary medicine and agrochemical companies to validate and functionally screen new receptor-based targets, including neuropeptide G-protein coupled receptors, which were previously not amenable to high throughput screening. However this is just the first step in a long process to translate a mechanistic assay hit into a drug on the market. In addition to effectively eradicating pests on crops and parasites on their host, the molecules must also be safe, cheap to synthesise, formulatable and patentable. This is a costly process in which early attrition of unsuitable molecules is key to any successful program. Although first principle discovery is risky the ultimate benefits are considerable and future genomics resources will help to generate higher quality hits to strengthen the discovery pipeline.

Network systems biology for drug discovery.

Systems biology provides a platform for integrating multiple components and interactions underlying cell, organ, and organism processes in health and disease. Beyond traditional approaches focused on individual molecules or pathways, bioinformatic network analysis of high-throughput data sets offers an opportunity for integration of biological complexity and multilevel connectivity. Emerging applications in rational drug discovery range from targeting and modeling disease-corrupted networks to screening chemical or ligand libraries to identification/validation of drug-target interactions for improved efficacy and safety.

Recent advances of fluorescent technologies for drug discovery and development.

Recent progresses in the development of fluorescent technologies become a reliable device for drug discovery research. The fluorescence tools offer attractive options for an opportunity to visualize the effects of drug candidates in the cells. The fluorescent tools, such as fluorescent protein, are regularly used in a range of drug discovery processes. A better understanding and use of fluorescent technologies facilitate drug discovery research faster and can open up new applications. Therefore, we have provided information about some new generation fluorescent reagents (GFP and fluorophores). This review illustrates how fluorescent technologies and fluorescent tools are contributing to the drug discovery process mainly high-throughput screening (HTS), disease mechanism based target discovery, disease-genes-based target discovery, 'target classes' based target candidate discovery, physiology-based drug discovery, genomics-based drug discovery, target validation and their future perspectives.

Interrogating 7TM receptors: does texture in the question yield greater texture in the answer?

The key to detecting and classifying drug effect at seven transmembrane (7TM) receptors is the pharmacological assay. Drug discovery had been rooted in testing of molecules on intact animal tissue until technology provided high-throughput binding assays for screening. While this allowed for the testing of large numbers of molecules, it also limited detection to molecules that interfere with the interaction of the receptor with a defined probe (i.e., radioligand). The ability to monitor functional changes in cells (recombinant or natural) provided a huge leap forward. Earlier functional assays were tied to specific signaling pathways (i.e., cyclic AMP and calcium) but now label-free assays in live cells provide the opportunity to detect more ligands and more fully characterize their efficacy. These ideas will be discussed in terms of harnessing the phenomenon of "functional selectivity" for therapeutic advantage.

Genetic engineering, expression, and activity of a chimeric monoclonal antibody-avidin fusion protein for receptor-mediated delivery of biotinylated drugs in humans.

The genetic engineering, expression, and validation of a fusion protein of avidin (AV) and a chimeric monoclonal antibody (mAb) to the human insulin receptor (HIR) is described. The 15 kDa avidin monomer was fused to the carboxyl terminus of the heavy chain of the HIRMAb. The fusion protein heavy chain reacted with antibodies specific for human IgG and avidin, and had the same affinity for binding to the HIR extracellular domain as the original chimeric HIRMAb. The fusion protein qualitatively bound biotinylated ligands, but was secreted fully saturated with biotin by COS cells, owing to the high level of biotin in tissue culture medium. Chinese hamster ovary (CHO) cells were permanently transfected with a tandem vector expressing the fusion protein genes, and high expressing cell lines were isolated by methotrexate amplification and dilutional cloning. The product expressed by CHO cells had high binding to the HIR, and migrated as a homogeneous species in size exclusion HPLC and native polyacrylamide gel electrophoresis. The CHO cells were adapted to a 4 week culture in biotin depleted medium, and the HIRMAb-AV fusion protein expressed under these conditions had 1 unoccupied biotin binding site per molecule, based on a [3H]-biotin ultrafiltration assay. The HIRMAb-AV increased biotin uptake by human cells >15-fold, and mediated the endocytosis of fluorescein-biotin, as demonstrated by confocal microscopy. In summary, the HIRMAb-AV fusion protein is a new drug targeting system for humans that can be adapted to monobiotinylated drugs or nucleic acids.

Blocking the cannabinoid receptors: drug candidates and therapeutic promises.

The CB1 and CB2 cannabinoid receptors have been described as two prime sites of action for endocannabinoids. Both the localization and pharmacology of these two G-protein-coupled receptors are well-described, and numerous selective ligands have been characterized. The physiological effects of Cannabis sativa (cannabis) and a throughout study of the endocannabinoid system allowed for the identification of several pathophysiological conditions--including obesity, dyslipidemia, addictions, inflammation, and allergies--in which blocking the cannabinoid receptors might be beneficial. Many CB1 receptor antagonists are now in clinical trials, and the results of several studies involving the CB1 antagonist lead compound rimonabant (SR141716A) are now available. This review describes the pharmacological tools that are currently available and the animal studies supporting the therapeutic use of cannabinoid receptor antagonists and inverse agonists. The data available from the clinical trials are also discussed.

How pharmacological receptor theory can guide new drug discovery CCR5 HIV inhibitors in AIDS as a case study.

The simple concept of quantifying drug activity through measurement of affinity and efficacy is challenged by the discovery, through new assay technologies, that ligands may have different 'efficacies' for different receptor-driven cellular processes. Thus, a ligand may directly produce the complete behavior pattern of the endogenous natural agonist or only portions of this pattern; the challenge is to quantify these differences in ligands and identify the therapeutically useful phenotypes. Another effect, related to the allosteric nature of the 7-transmembrane domain superfamily of receptors, is the ability of molecules to co-bind to receptors (like antagonists) and selectively modify the effects of endogenous agonists, in essence to filter effects and produce a different pattern of signaling. One realm where this may be useful is the blockade of pathologically related effects of receptors that otherwise are needed for normal physiology. These concepts are illustrated in the context of new allosteric CCR5 HIV-1 entry inhibitors. The allosteric properties of probe dependence and texture in antagonism are related to potential advantages in sparing of normal physiological function and reduction in susceptibility to viral resistance.

Rational design of a nonpeptide general chemical scaffold for reversible inhibition of PDZ domain interactions.

Novel small molecules were designed to specifically target the ligand-binding pocket of a PDZ domain. Iterative molecular docking and modeling allowed the design of an indole scaffold 10a as a reversible inhibitor of ligand binding. The 10a scaffold inhibited the interaction between MAGI-3 and PTEN and showed cellular activities that are consistent with the inhibition of NHERF-1 function.

Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation.

BACKGROUND AND PURPOSE: Traditional Chinese Medicine (TCM) is widely practised and is viewed as an attractive alternative to conventional medicine. Quantitative information about TCM prescriptions, constituent herbs and herbal ingredients is necessary for studying and exploring TCM. EXPERIMENTAL APPROACH: We manually collected information on TCM in books and other printed sources in Medline. The Traditional Chinese Medicine Information Database TCM-ID, at http://tcm.cz3.nus.edu.sg/group/tcm-id/tcmid.asp, was introduced for providing comprehensive information about all aspects of TCM including prescriptions, constituent herbs, herbal ingredients, molecular structure and functional properties of active ingredients, therapeutic and side effects, clinical indication and application and related matters. RESULTS: TCM-ID currently contains information for 1,588 prescriptions, 1,313 herbs, 5,669 herbal ingredients, and the 3D structure of 3,725 herbal ingredients. The value of the data in TCM-ID was illustrated by using some of the data for an in-silico study of molecular mechanism of the therapeutic effects of herbal ingredients and for developing a computer program to validate TCM multi-herb preparations. CONCLUSIONS AND IMPLICATIONS: The development of systems biology has led to a new design principle for therapeutic intervention strategy, the concept of 'magic shrapnel' (rather than the 'magic bullet'), involving many drugs against multiple targets, administered in a single treatment. TCM offers an extensive source of examples of this concept in which several active ingredients in one prescription are aimed at numerous targets and work together to provide therapeutic benefit. The database and its mining applications described here represent early efforts toward exploring TCM for new theories in drug discovery.

Activation of the iberiotoxin-sensitive BKCa channels by salvianolic acid B of the porcine coronary artery smooth muscle cells.

In this study, we examined the effects of Salvia miltiorrhiza (Danshen) crude extract, some of its lipid-soluble components (tanshinone I, tanshinone II(A), cryptotanshinone, dihydroisotanshinone I) and the water-soluble compounds (danshensu and salvianolic acid B) on the K(+) channels such as the iberiotoxin-sensitive Ca(2+)-activated K(+) (BK(Ca)) channels and the glibenclamide-sensitive ATP-dependent K(+) (IK(ATP)) channels of the porcine left anterior descending coronary artery smooth muscle cells. Cumulative application of salvianolic acid B (30-300 microM) caused a l-NNA (100 microM)-insensitive, potentiation of the outward BK(Ca) current amplitude with no apparent effect on the IK(ATP) channels opening. Salvianolic acid B (300 microM) caused an ODQ (10 microM, a guanylate cyclase inhibitor)-sensitive enhancement of the outward BK(Ca) current amplitude. In contrast, none of the other isolated chemical constituents of S. miltiorrhiza modified the openings of the two types of K(+) channels studied. In conclusion, our results suggest that salvianolic acid B, a major hydrophilic constituent found in Radix S. miltiorrhiza, activated the opening of the BK(Ca) channels of the porcine coronary artery smooth muscle cells through the activation of guanylate cyclase without the involvement of the nitric oxide synthase activation.

A comprehensive in vitro screening of d-, l-, and dl-threo-methylphenidate: an exploratory study.

dl-Methylphenidate (MPH) has been widely used to treat attention-deficit/hyperactivity disorder (ADHD) for the last half century. It had been exclusively available in the racemic form, i.e., a 50:50 mixture of d- and l-isomers. However, a single enantiomer formulation, d-MPH (dexmethylphenidate), became available for general clinical use in 2002. For this reason, the intrinsic pharmacological differences in the effects of d- and l-MPH have recently come under intense investigation. The primary therapeutic effects of MPH are generally recognized to reside in the d-isomer. The present investigation provides quantitative values for a broad range of receptor-level interactions of the individual MPH isomers to better characterize the distinction between dl-MPH versus d-MPH versus l-MPH as it relates to binding affinity at sites associated with relevant central nervous system (CNS) pharmacology, as well as peripheral physiology. Overall, there were few differences in binding affinities between d-MPH and the racemate whereas there were more apparent differences between d-MPH and l-MPH. d-MPH exhibited prominent affinity at the norepinephrine transporter (NET) site, even exceeding such affinity at the dopamine transporter (DAT). These results further demonstrate that affinity for catecholaminergic sites largely resides in the d-MPH isomer. Although binding affinity was not demonstrable at the serotonin (5-HT) transporter site (SERT), novel findings of the study included affinity for the 5-HT1A and 5-HT2B receptor sites for both d- and l-MPH, with d-MPH exerting by far the most predominant effects at these sites. Thus, the emerging data of favorable therapeutic effects of ADHD treatment with d-MPH (and dl-MPH) may be underpinned by affinity and potential pharmacologic effects at NET and DAT sites, as well as sites relevant to serotonergic neurotransmission that may modulate mood, cognition, and motor behavior. However, the present exploratory studies reflect receptor binding affinities only. The specific pharmacological activities (i.e., agonism vs. antagonism) of these compounds await further exploration.

Screening the receptorome for plant-based psychoactive compounds.

Throughout time, humans have used psychoactive plants and plant-derived products for spiritual, therapeutic and recreational purposes. Furthermore, the investigation of psychoactive plants such as Cannabis sativa (marijuana), Nicotiana tabacum (tobacco) and analogues of psychoactive plant derivatives such as lysergic acid diethylamide (LSD) have provided insight into our understanding of neurochemical processes and diseases of the CNS. Currently, many of these compounds are being used to treat a variety of diseases, such as depression and anxiety in the case of Piper methysticum Kava Kava (Martin et al., 2002; Singh and Singh, 2002). G-protein coupled receptors (GPCRs) are the most common molecular target for both psychoactive drugs and pharmaceuticals. The "receptorome" (that portion of the genome encoding ligand reception) encompasses more than 8% of the human genome (Roth et al., 2004) and as such provides a large number of possible targets for psychoactive drug interactions. A systematic, comprehensive study is necessary to identify novel active psychoactive plant-based compounds and the molecular targets of known compounds. Herein we describe the development of a high throughput system (HTS) to screen psychoactive compounds against the receptorome and present two examples (Salvia divinorum, the "magic mint" hallucinogen and Banisteriopsis caapi, the main component of Ayahuasca, a psychoactive beverage) where HTS enabled the identification of the molecular target of each compound.

Data management solutions for protein therapeutic research and development.

Protein therapeutics, including monoclonal antibodies, are a growing focus of drug discovery research organizations. High-throughput screening of large libraries of protein variants is therefore becoming increasingly important in R&D. As a result, there is a need to link large numbers of variant protein sequences with chemical and biological assay data. This integration will allow more efficient data mining and facilitate decision-making regarding hit identification, lead optimization and drug development. In this paper, we present an implementation in which a widely used small-molecule high-throughput screening data management system has been adapted to meet the unique needs of protein drug discovery and development.

Paradigm lost, paradigm found: the re-emergence of hormesis as a fundamental dose response model in the toxicological sciences.

This paper provides an assessment of the toxicological basis of the hormetic dose-response relationship including issues relating to its reproducibility, frequency, and generalizability across biological models, endpoints measured and chemical class/physical stressors and implications for risk assessment. The quantitative features of the hormetic dose response are described and placed within toxicological context that considers study design, temporal assessment, mechanism, and experimental model/population heterogeneity. Particular emphasis is placed on an historical evaluation of why the field of toxicology rejected hormesis in favor of dose response models such as the threshold model for assessing non-carcinogens and linear no threshold (LNT) models for assessing carcinogens. The paper argues that such decisions were principally based on complex historical factors that emerged from the intense and protracted conflict between what is now called traditional medicine and homeopathy and the overly dominating influence of regulatory agencies on the toxicological intellectual agenda. Such regulatory agency influence emphasized hazard/risk assessment goals such as the derivation of no observed adverse effect levels (NOAELs) and the lowest observed adverse effect levels (LOAELs) which were derived principally from high dose studies using few doses, a feature which restricted perceptions and distorted judgments of several generations of toxicologists concerning the nature of the dose-response continuum. Such historical and technical blind spots lead the field of toxicology to not only reject an established dose-response model (hormesis), but also the model that was more common and fundamental than those that the field accepted.

The yin and yang of cancer therapeutics.

In this review, a potential theoretical framework for cancer therapeutics is presented, based on two concepts. The first concept considers cancer as a 'disease process' involving key regulatory pathways, and is discussed along with recent evidence and topics of special interest such as the combination of molecular diagnostics with developmental therapeutics. The second concept is the binary state concept of 'active/inactive' that seeks more relevant targets within the global molecular matrix of any given cancer. Here, these concepts are considered, along with the growing body of evidence that supports them. The 'binary' concept may facilitate both target selection and target validation.

Screening the receptorome reveals molecular targets responsible for drug-induced side effects: focus on 'fen-phen'.

The in vitro pharmacological profiling of drugs using a large panel of cloned receptors (e.g., G protein-coupled receptors, ligand-gated ion channels, Na(+)-dependent monoamine transporters), an approach that has come to be known as 'receptorome screening', has unveiled novel molecular mechanisms responsible for the actions and/or side effects of certain drugs. For instance, receptorome screening has been employed to uncover novel molecular targets involved in the actions of antipsychotic medications and the hallucinogenic mint extract salvinorin A. This review highlights the recent application of receptorome screening to discover why the anorexigen fenfluramine causes serious cardiopulmonary side effects. Receptorome screening has implicated N-deethylation of fenfluramine and serotonin 5-hydroxy-t-ryptamine 2B receptors in the adverse effects of the drug; subsequent studies corroborated this finding. The results discussed highlight the utility of determining the potential activity of drugs -- and, importantly, of their in vivo metabolites -- at as many molecular targets as possible in order to reliably predict side effect profiles. Receptorome screening represents one of the most effective methods for identifying potentially serious drug-related side effects at the preclinical stage, thereby avoiding significant economic and human health consequences.