The value and limitations of transgenic mouse models used in drug discovery for Alzheimer's disease: an update

Introduction: The exponential growth in the world's aged population has increased pressure on drug discovery efforts to identify innovative therapies for Alzheimer's disease (AD). The long and uncertain clinical trial path utilized to test the potential efficacy of these novel agents is challenging. For these and other reasons, there has been an explosion in the generation and availability of transgenic mouse models that mimic some, but not all aspects of AD. The largely overwhelmingly positive results obtained when testing potential clinical agents in these same animal models have failed to translate into similar positive clinical outcomes.

Areas covered: This review discusses the value and limitations associated with currently available transgenic mouse models of AD. Furthermore, the article proposes ways in which researchers can better characterize pharmacodynamic and pharmacokinetic endpoints to increase the success rate for novel therapies advancing into clinical development. Lastly, the author discusses ways in which researchers can supplement, expand and improve transgenic mouse models used in AD drug discovery.

Expert opinion: The use of transgenic mouse models that recapitulate various aspects of AD has expanded our knowledge and understanding of disease pathogenesis immensely. Further success in testing and translating novel therapies from animal models into bona fide medicines would be enhanced by i) the availability of better models that more fully recapitulate the disease spectrum, ii) defining and measuring standardized endpoints that display a pharmacodynamic range, iii) building and including translatable biomarkers and iv) including novel endpoints that would be expected to translate into clinically beneficial outcomes.     

Alzheimer's disease: transgenic mouse models and drug assessment.

Alzheimer's disease (AD), characterized by neuritic plaques and neurofibrillary tangles of the brain, is experienced by more and more elderly people in a form of senile dementia. Four genes are closely linked with AD and are located on chromosomes 21, 19, 14 and 1. Transgenic technology enables the development of animal models for research into this human disease. Recently reported transgenic AD mouse models, which express AD-related mutant human genes, develop some significant aspects of AD-like pathology. The specific role of these mice in representing different targets, the consequent pathology of AD and the availability of this increasingly popular tool for investigating new therapeutic strategies for AD are reviewed.     

Animal models in the drug discovery pipeline for Alzheimer's disease

With increasing feasibility of predicting conversion of mild cognitive impairment to dementia based on biomarker profiling, the urgent need for efficacious disease-modifying compounds has become even more critical. Despite intensive research, underlying pathophysiological mechanisms remain insufficiently documented for purposeful target discovery. Translational research based on valid animal models may aid in alleviating some of the unmet needs in the current Alzheimer's disease pharmaceutical market, which includes disease-modification, increased efficacy and safety, reduction of the number of treatment unresponsive patients and patient compliance. The development and phenotyping of animal models is indeed essential in Alzheimer's disease-related research as valid models enable the appraisal of early pathological processes - which are often not accessible in patients, and subsequent target discovery and evaluation. This review paper summarizes and critically evaluates currently available animal models, and discusses their value to the Alzheimer drug discovery pipeline. Models dealt with include spontaneous models in various species, including senescence-accelerated mice, chemical and lesion-induced rodent models, and genetically modified models developed in Drosophila melanogaster, Caenorhabditis elegans, Danio rerio and rodents. Although highly valid animal models exist, none of the currently available models recapitulates all aspects of human Alzheimer's disease, and one should always be aware of the potential dangers of uncritical extrapolating from model organisms to a human condition that takes decades to develop and mainly involves higher cognitive functions.     

Applications and limitations of genetically modified mouse models in drug discovery and development

Genetically modified mouse models in which a specific gene is removed or replaced have proven to be powerful tools for identification/validation of target gene and scientific understanding of molecular mechanisms underlying drug-induced toxicity through mechanistic studies. In spite of the advantage, there are significant limitations of genetically modified mouse models. Modification of a given gene does not always result in the anticipated phenotype. In some instances, phenotypes of targeted mouse mutants were not those predicted from the presumed function of the given genes, while other null mutants revealed no apparent defects. Furthermore, the phenotypic outcome can be influenced by many environmental and genetic factors. Therefore, interpretation of the significance of the findings from studies using genetically modified mouse models is not always as straightforward as one would expect, especially when desire is to extrapolate the findings to humans. Interestingly, many humanized mouse models have been generated for evaluating the function and regulation of cytochrome P450 (CYP) enzymes. Our fascination with humanized animals dates back to ancients. For example, the Great Sphinx of Giza, a large half-human and half-lion statue, is believed to have been built by Egyptians about 4500 years ago. Although the creation of humanized animals that carry a particular human CYP gene provides useful tools for scientific understanding of the function and regulation of the CYP enzyme, these humanized mouse models are not so useful in prediction of human pharmacokinetics in a quantitative sense. Accordingly, it is important to keep in mind that an animal engineered to express a human gene and its protein is still an animal.     

An update on mouse brain tumor models in cancer drug discovery

Gliomas and medulloblastomas are the most common primary brain tumors in adults and children, respectively. Although the standard of care for gliomas may have evolved slightly over the last 50 years, the clinical outcome of this disease remains unchanged. Therefore, further research to improve the treatment modalities is urgently needed. An important step forward is the use of genetically and histologically accurate mouse glioma models that mimic the human tumors in their native microenvironment in order to fully understand the biology and mechanistic causes of this disease. Such strategy will help us to identify novel targets for therapies and use these models for preclinical testing.     

Humanised mouse models in drug discovery for skin inflammation

Inflammatory skin diseases have a high prevalence in Western countries and pharmaceutical companies spend increasing amounts of money to develop drugs for these disorders. However, their complex pathophysiology is only partially reflected in classical rodent models, limiting their predictivity, and new compounds frequently fail in clinical trials. Therefore, there is an urgent need for more predictive and reliable animal models. Humanised mouse models seem to combine the convenience of small animal models with good correlation to the situation in patients and, thus, promise to be a valuable technique for translational medicine. Here, the authors summarise how mice can be humanised and which humanised models for inflammatory skin diseases exist. Application of these models in drug discovery and their advantages and limitations are discussed.     

Yeast chemical genomics and drug discovery: an update

The Saccharomyces cerevisiae sequencing project (the first eukaryotic genome decoded) was completed in 1995 and, subsequently, the first version of the yeast knockout collection was made available in 2002. Since then, many diverse studies have applied these resources to understand drug mechanism of action and to identify novel drug targets and target pathways. In this update of an earlier review, we present a snapshot of the current state of chemical genomic approaches in yeast, propose a set of integrated chemical genomic assays to move the field forward and consider its near-term future.     

Animal models of skin disease for drug discovery

Introduction: Discovery of novel drugs, treatments, and testing of consumer products in the field of dermatology is a multi-billion dollar business. Due to the distressing nature of many dermatological diseases, and the enormous consumer demand for products to reverse the effects of skin photodamage, aging, and hair loss, this is a very active field.

Areas covered: In this paper, we will cover the use of animal models that have been reported to recapitulate to a greater or lesser extent the features of human dermatological disease. There has been a remarkable increase in the number and variety of transgenic mouse models in recent years, and the basic strategy for constructing them is outlined.

Expert opinion: Inflammatory and autoimmune skin diseases are all represented by a range of mouse models both transgenic and normal. Skin cancer is mainly studied in mice and fish. Wound healing is studied in a wider range of animal species, and skin infections such as acne and leprosy also have been studied in animal models. Moving to the more consumer-oriented area of dermatology, there are models for studying the harmful effect of sunlight on the skin, and testing of sunscreens, and several different animal models of hair loss or alopecia.     

Progress in acetylcholinesterase inhibitors for Alzheimer's disease: an update

Background: To date, the pharmacotherapy of Alzheimer's disease (AD) has been based on acetylcholinesterase inhibitors (AChEIs), and more recently on an N-methyl-d-aspartate receptor antagonist. By increasing acetylcholine concentration in the brain, AChEIs slow behavioral and functional impairments, improving cognitive function. Objective: The review provides an update on novel analogs of approved AChEIs, their combination with other anti-AD agents, natural AChEIs, and modern multitarget-directed ligands (MTDLs) able to hit different biological targets. Methods: We reviewed patents filed during 2005 – 2007 dealing with new AChEIs and their potential application for AD treatment. We point out new chemical structures and scaffolds for designing new AD therapeutic agents as well as new combinations or MTDLs. Results and conclusions: Compared to the limited number of novel commercially available AChEI analogs, many new natural compounds were patented for AD treatment. These might represent a starting point for the rational design of new MTDLs.     

Humanized transgenic mouse models for drug metabolism and pharmacokinetic research

Extrapolation of the metabolic, pharmacokinetic and toxicological data obtained from animals to humans is not always straightforward, given the remarkable species difference in drug metabolism that is due in large part to the differences in drug-metabolizing enzymes between animals and humans. Furthermore, genetic variations in drug-metabolizing enzymes may significantly alter pharmacokinetics, drug efficacy and safety. Thus, humanized transgenic mouse lines, in which the human drug-metabolizing enzymes are expressed in mouse tissues in the presence or absence of mouse orthologues, have been developed to address such challenges. These humanized transgenic mice are valuable animal models in understanding the significance of specific human drug-metabolizing enzymes in drug clearance and pharmacokinetics, as well as in predicting potential drug-drug interactions and chemical toxicity in humans. This review, therefore, aims to summarize the development and application of some humanized transgenic mouse models expressing human drug-metabolizing enzymes. The limitations of these genetically modified mouse models are also discussed.     

Increasing the success rate for Alzheimer's disease drug discovery and development

This paper responds to the fact that over 200 Alzheimer's disease (AD) drug candidates have failed to date and draws on searches of the literature for studies of error effects in drug developments and the authors' published works. In the same period, basic knowledge of AD pathology has greatly expanded providing both potential therapeutic targets and rationales for modifications in strategies for testing AD drug candidates. Current opinion generally holds that AD drug candidates have failed because they address pathology that is already too advanced. Less attention is paid to numerous reported methodological weaknesses capable of biasing AD clinical trials and drug developments and thus invalidating conclusions to be reached about the drugs being tested. The costs of quality controls possibly needed to better insure validity in AD drug developments raises concerns that progress toward success in AD drug development may be hindered by the costs of intervening against current methodological barriers to the successful completions of AD drug developments.     

Gamma-secretase modulation and its promise for Alzheimer's disease: a rationale for drug discovery

The genetics of Alzheimer's disease (AD) implies that restoring non-pathological levels or ratios of different amyloid-beta (Abeta) peptide species in the brain could prevent the onset or delay the progression of this neurodegenerative disease. In particular, a selective reduction of the longer Abeta(1-42) peptide which is widely believed to be causative of AD is currently seen as an attractive approach for a disease-modifying therapy. Based on the knowledge that Abeta(1-42) and various shorter Abeta peptides are generated by the same gamma secretase enzyme, the concept of allosteric modulation of the cleavage specificity of this aspartic protease has been introduced to the field of protease drug discovery and fuelled novel medicinal chemistry efforts. Gamma-secretase modulation holds the promise that chemical entities can be synthesized which restore non-pathological enzyme activity by shifting the actual substrate cleavage towards the generation of shorter Abeta peptides. It can be assumed that this approach has gained considerable attraction for pharmaceutical drug discovery since the development of non-selective protease inhibitors for gamma-secretase has been proven to be difficult due to inherent mechanism-based liabilities.     

Increasing the success rate for Alzheimer's disease drug discovery and development

This paper responds to the fact that over 200 Alzheimer's disease (AD) drug candidates have failed to date and draws on searches of the literature for studies of error effects in drug developments and the authors' published works. In the same period, basic knowledge of AD pathology has greatly expanded providing both potential therapeutic targets and rationales for modifications in strategies for testing AD drug candidates. Current opinion generally holds that AD drug candidates have failed because they address pathology that is already too advanced. Less attention is paid to numerous reported methodological weaknesses capable of biasing AD clinical trials and drug developments and thus invalidating conclusions to be reached about the drugs being tested. The costs of quality controls possibly needed to better insure validity in AD drug developments raises concerns that progress toward success in AD drug development may be hindered by the costs of intervening against current methodological barriers to the successful completions of AD drug developments.     

Non-mammalian animal models of Parkinson's disease for drug discovery

Importance of the field: Parkinson's disease (PD) is a prevalent neurodegenerative disease affecting millions of predominantly elderly individuals worldwide. Despite intensive efforts devoted to drug discovery, the disease remains incurable. Compounding this problem is the current lack of a truly representative mammalian model of PD. However, a number of non-mammalian models of PD have been created in recent years that hold tremendous promise to accelerate our understanding of the disease as well as to transform the drug discovery process.

Areas covered in this review: This review provides an overview of the various Caenorhabditis elegans and Drosophila genetic models of PD that have been generated to date and discusses the utility of these model systems in the identification of molecules of potential therapeutic value for the PD patient.

What the reader will gain: Readers will appreciate the strengths (and limitations) of C. elegans and Drosophila in modeling salient features of the disease as well as their usefulness in uncovering novel gene–gene interaction and pathways relevant to PD pathogenesis. Readers will also appreciate how technological advancements have allowed the direct evaluation of novel compounds in these living models of PD in a virtually high-throughput manner.

Take home message: Non-mammalian models of PD provide a valuable in vivo platform for drug screening. Unlike cell-based systems, these living models with an intact nervous system allow for a more meaningful evaluation of the neuroprotective properties of genetic and chemical modifiers to be conducted.     

Non-mammalian animal models of Parkinson's disease for drug discovery

Importance of the field: Parkinson's disease (PD) is a prevalent neurodegenerative disease affecting millions of predominantly elderly individuals worldwide. Despite intensive efforts devoted to drug discovery, the disease remains incurable. Compounding this problem is the current lack of a truly representative mammalian model of PD. However, a number of non-mammalian models of PD have been created in recent years that hold tremendous promise to accelerate our understanding of the disease as well as to transform the drug discovery process. Areas covered in this review: This review provides an overview of the various Caenorhabditis elegans and Drosophila genetic models of PD that have been generated to date and discusses the utility of these model systems in the identification of molecules of potential therapeutic value for the PD patient. What the reader will gain: Readers will appreciate the strengths (and limitations) of C. elegans and Drosophila in modeling salient features of the disease as well as their usefulness in uncovering novel gene-gene interaction and pathways relevant to PD pathogenesis. Readers will also appreciate how technological advancements have allowed the direct evaluation of novel compounds in these living models of PD in a virtually high-throughput manner. Take home message: Non-mammalian models of PD provide a valuable in vivo platform for drug screening. Unlike cell-based systems, these living models with an intact nervous system allow for a more meaningful evaluation of the neuroprotective properties of genetic and chemical modifiers to be conducted.     

APP/PS1 transgenic mice treated with aluminum: an update of Alzheimer's disease model

There is still no animal model available that can mimic all the cognitive, behavioral, biochemical, and histopathological abnormalities observed in patients with Alzheimer's disease (AD). We undertook to consider the interaction between genetic factors, including amyloid precursor protein (APP) and presenilin-1 (PS1), and environmental factors, such as Aluminum (Al) in determining susceptibility outcomes when studying the pathogenesis of AD. In this article, we provide an AD model in APP/PS1 transgenic mice triggered by Al. The animal model was established via intracerebral ventricular microinjection of aluminum chloride once a day for 5 days in APP/PS1 transgenic mice. Twenty wild type (WT) mice and 20 APP/PS1 transgenic (TG) mice were separately divided into 2 groups (control and Al group), and a stainless steel injector with stopper was used for microinjection into the left-lateral cerebral ventricle of each mouse. The Morris water maze task was used to evaluate behavioral function of learning and memory ability on the 20th day after the last injection. This AD model's brain was analyzed by: (1) amyloid beta immunohistochemical staining; (2) Tunnel staining; (3) apoptotic rates; (4) caspase-3 gene expression. Here, decrease of cognitive ability and neural cells loss were shown in APP/PS1 transgenic mice exposed to Al, which were more extensive than those in APP/PS1 TG alone and WT mice exposed to Al alone. These findings indicate that there is a close relationship between over-expression of APP and PS1 genes and Al overload. It is also suggested that APP/PS1 TG mice exposed to Al have potential value for improving AD models.     

Structural and functional neuroimaging in Alzheimer's disease: an update

The field of neuroimaging has made several recent advances understanding Alzheimer's disease, a debilitating disease which affects approximately 4 million people in the United States [1]. Despite recent therapeutic advances, available treatments at present are aimed primarily at slowing progression of the disease rather than halting it completely or reversing its progression. Early detection of the disease has, therefore, been a major focus of a variety of neuroimaging techniques, including Positron Emission Tomography (PET), functional Magnetic Resonance Imaging (fMRI), and structural MRI. Recently, these techniques have also been found to be useful in monitoring cognitive and pathological progression of the disease, as well as monitoring response to clinical intervention treatment. A methodology review will be included here as well as a critical evaluation of the advantages and disadvantages of the various techniques.     

Genetically engineered mouse models for drug discovery: new chemical genetic approaches

While standard transgenic and knockout mouse technologies have provided a wealth of information for target selection and validation, there have been great advances in using more sophisticated modeling techniques to achieve temporal and spatial regulation of individual genes in adult animals. Recent developments in RNA interference (RNAi) technology in in vivo models promise to further improve upon the static and irreversible features of gene knockouts. Chemical genetic approaches create novel functional alleles of targets and allow fine modulation of protein function in vivo by small molecules, providing the most pharmacologically relevant target validation. Using these advanced models, one can not only ask whether the function of the target is critical for the initiation and maintenance of the disease, but also whether therapies designed to alter the function of the target would be safe and efficacious. In this review, we describe various in vivo tools for target validation in mouse models, discuss advantages and disadvantages of each approach, and give examples of their impact on drug discovery.     

Orthotopic mouse models expressing fluorescent proteins for cancer drug discovery

Importance of the field: Currently used rodent tumor models, including transgenic tumor models, or subcutaneously growing human tumors in immunodeficient mice, do not sufficiently represent clinical cancer, especially with regard to metastasis and drug sensitivity.

Areas covered in this review: To obtain clinically accurate models, we have developed the technique of surgical orthotopic implantation (SOI) to transplant histologically intact fragments of human cancer, including tumors taken directly from the patient, to the corresponding organ of immunodeficient rodents. SOI allows the growth and metastatic potential of the transplanted tumors to be expressed and reflects clinical cancer of all types. Effective drugs can be discovered and evaluated in the SOI models utilizing human tumor cell lines and patient tumors. Visualization of many aspects of cancer initiation and progression in vivo has been achieved with fluorescent proteins. Tumors and metastases in the SOI models that express fluorescent proteins can be visualized noninvasively in intact animals, greatly facilitating drug discovery.

What the reader will gain: This review will provide information on the imageable mouse models of cancer that are clinically relevant, especially regarding metastasis and their use for drug discovery and evaluation.

Take home message: SOI mouse models of cancer reproduce the features of clinical cancer.     

Orthotopic mouse models expressing fluorescent proteins for cancer drug discovery

Importance of the field: Currently used rodent tumor models, including transgenic tumor models, or subcutaneously growing human tumors in immunodeficient mice, do not sufficiently represent clinical cancer, especially with regard to metastasis and drug sensitivity. Areas covered in this review: To obtain clinically accurate models, we have developed the technique of surgical orthotopic implantation (SOI) to transplant histologically intact fragments of human cancer, including tumors taken directly from the patient, to the corresponding organ of immunodeficient rodents. SOI allows the growth and metastatic potential of the transplanted tumors to be expressed and reflects clinical cancer of all types. Effective drugs can be discovered and evaluated in the SOI models utilizing human tumor cell lines and patient tumors. Visualization of many aspects of cancer initiation and progression in vivo has been achieved with fluorescent proteins. Tumors and metastases in the SOI models that express fluorescent proteins can be visualized noninvasively in intact animals, greatly facilitating drug discovery. What the reader will gain: This review will provide information on the imageable mouse models of cancer that are clinically relevant, especially regarding metastasis and their use for drug discovery and evaluation. Take home message: SOI mouse models of cancer reproduce the features of clinical cancer.