Preclinical assessment of an adjunctive treatment approach for cognitive impairment associated with schizophrenia using the alpha7 nicotinic acetylcholine receptor agonist WYE-103914/SEN34625.

RATIONALE: α7 nicotinic acetylcholine receptor (nAChR) agonists are proposed as candidate agents for the adjunctive treatment of cognitive deficits associated with schizophrenia. Despite the pursuit of such an approach clinically, it is surprising that the preclinical profile of pro-cognitive agents in conjunction with antipsychotic drugs is currently unexplored. OBJECTIVES: We determined if the memory-enhancing effects of the selective α7 nAChR agonist WYE-103914 were preserved in the presence of the atypical antipsychotic drug risperidone, and if the antipsychotic-like profile of risperidone was preserved in the presence of WYE-103914. METHODS: Using the rat novel object recognition (NOR) paradigm, the maintenance of memory-enhancing activity of the α7 nAChR agonist WYE-103914 in the presence of risperidone was examined. Similarly, in the standard tests of antipsychotic-like activity, apomorphine-induced climbing (AIC) in mice and conditioned avoidance responding (CAR) in rats, the preservation of antipsychotic-like activity of risperidone was evaluated in the presence of WYE-103914. RESULTS: WYE-103914 exhibited memory-enhancing activity in rat NOR, and this effect of WYE-103914 was retained in the presence of risperidone. In AIC, the atypical antipsychotic profile of risperidone was not significantly altered by WYE-103914. In contrast, WYE-103914 moderately potentiated the efficacy profile of risperidone in CAR, an effect that did not appear to be convincingly linked to a pharmacokinetic interaction. CONCLUSIONS: These data underscore the value of a preclinical evaluation of the adjunctive profile of a memory-enhancing agent in combination with antipsychotics and provide further support to augmentation with α7 nAChR agonists to address the cognitive deficits associated with schizophrenia.

A primer on screening data management.

A drug discovery startup company or academic lab entering the screening arena faces numerous challenges as it tries to manage the large quantity of data generated by a typical drug discovery screening campaign. Although there are sophisticated off-the-shelf software solutions available, their use requires substantial forethought and attention to detail if the data they capture are to be of sufficient quality to serve the various purposes to which it will be put. For newcomers to the field of screening data management in particular, the problem is compounded by a lack of literature covering the practical aspects of managing screening data. The authors provide some practical advice based on their experience of using a commercially available software suite. They discuss issues ranging from the organizational aspects to examples of how the form and content of metadata can have a big impact on whether results can be easily queried, pivoted, and reported. It is also hoped that their experiences might provide an opportunity for reflection to data management practitioners operating in established environments.

How to achieve confidence in drug discovery and development: managing risk (from a reductionist to a holistic approach).

Confidence in mechanism: Creating a more holistic understanding of disease pathophysiology and an early confidence in the mechanism under investigation could help facilitate the selection of not only the most appropriate targets but also the best mechanisms for disease intervention and how to select and optimise the best compounds. Drug target and candidate selection are two of the key decision points within the drug discovery process for which all companies use certain selection criteria to make decisions on which targets to accept into their discovery pipelines and which compounds will pass into development. These steps not only help define the overall productivity of every company but they are also decisions taken without full predictive knowledge of the risks that lie ahead or how best to manage them. In particular, the process of selecting new targets does not normally involve full evaluation of the risk(s) in the mechanism under investigation (the modulation of the target), which may result in an inability to fully connect in vitro and animal model results to the disease (clinical) setting. The resulting poor progression statistics of many compounds in the clinic is at least partially the result of a lack of understanding of disease pathophysiology. Notably, the lack of efficacy is still a major reason for failure in the clinic.1 Creating a more holistic understanding of disease pathophysiology and an early confidence in the mechanism under investigation could help facilitate the selection of not only the most appropriate targets but also the best mechanisms for disease intervention and how to select and optimise the best compounds.

Small molecule drug discovery for Huntington's Disease.

Huntington's Disease (HD) is a rare neurodegenerative disease caused by mutation of the huntingtin gene that results in a protein with an expanded stretch of glutamine repeats (polyQ). Knowledge of validated targets is in its infancy, and thus, traditional target-based drug discovery strategies are of limited use. Alternative approaches are needed, and early attempts were aimed at identifying molecules that inhibited the aggregation of polyQ huntingtin fragments. More recently, phenotypic assays were used to find molecules able to reverse some of the pathogenic mechanisms of HD. Such discovery strategies have an impact on the configuration of screening cascades for effective translation of drug candidates toward clinical trials.

Therapeutic targets for Alzheimer's disease.

BACKGROUND: Alzheimer's disease (AD), the most common form of degenerative dementia, represents a tremendous unmet medical need. Although AD had already been described about 100 years ago and despite enormous research efforts, at present only few symptomatic treatment options exist for the more than 25 million patients worldwide. This situation might change as many targets for therapeutic intervention have been identified based on the in-depth study of the pathology of the disease in model systems and humans, and of its underlying genetics. OBJECTIVE/METHODS: These targets are highlighted in the context of contemporary drug discovery for the identification of new therapies. RESULTS/CONCLUSIONS: 'Translation' of recent discoveries into disease-modifying therapies has not yet been accomplished. The future will show whether the current drug discovery and development 'pipelines' of pharmaceutical companies yield efficacious new medicines for AD.

Drug discovery and development for Huntington's disease - an orphan indication with high medical need.

Huntington's disease (HD) is a rare neurodegenerative disorder that progressively destroys the mental capacity and motor control of patients. This loss of motor control results in abnormal body movements (chorea) - the hallmark of HD. Given that no disease-modifying therapy for HD exists and that available symptomatic treatments are not highly efficacious, the medical need for this 'orphan' disease remains high. The number of compounds that are undergoing discovery and development for the treatment of HD has increased significantly in recent years, spurred by legislative incentives for orphan drug development and by support from non-profit foundations. Thus, hope exists for patients with HD that efficacious medicines will become available.