A Translational Medicine perspective of the development of torcetrapib: Does the failure of torcetrapib development cast a shadow on future development of lipid modifying agents, HDL elevation strategies or CETP as a viable molecular target for atherosclerosis? A case study of the use of biomarkers and Translational Medicine in atherosclerosis drug discovery and development

The Lipid Paradox as a Metabolic Checkpoint and Its Therapeutic Significance in Ameliorating the Associated Cardiovascular Risks in Rheumatoid Arthritis Patients

While the most common manifestations associated with rheumatoid arthritis (RA) are synovial damage and inflammation, the systemic effects of this autoimmune disorder are life-threatening, and are prevalent in 0.5–1% of the population, mainly associated with cardiovascular disorders (CVDs). Such effects have been instigated by an altered lipid profile in RA patients, which has been reported to correlate with CV risks. Altered lipid paradox is related to inflammatory burden in RA patients. The review highlights general lipid pathways (exogenous and endogenous), along with the changes in different forms of lipids and lipoproteins in RA conditions, which further contribute to elevated risks of CVDs like ischemic heart disease, atherosclerosis, myocardial infarction etc. The authors provide a deep insight on altered levels of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TGs) in RA patients and their consequence on the cardiovascular health of the patient. This is followed by a detailed description of the impact of anti-rheumatoid therapy on the lipid profile in RA patients, comprising DMARDs, corticosteroids, anti-TNF agents, anti-IL-6 agents, JAK inhibitors and statins. Furthermore, this review elaborates on the prospects to be considered to optimize future investigation on management of RA and treatment therapies targeting altered lipid paradigms in patients.

Using Zebrafish for High-Throughput Screening of Novel Cardiovascular Drugs

Cardiovascular diseases remain a major challenge for modern drug discovery. The diseases are chronic, complex, and the result of sophisticated interactions between genetics and environment involving multiple cell types and a host of systemic factors. The clinical events are often abrupt, and the diseases may be asymptomatic until a highly morbid event. Target selection is often based on limited information, and though highly specific agents are often identified in screening, their final efficacy is often compromised by unanticipated systemic responses, a narrow therapeutic index, or substantial toxicities. Our understanding of complexity of cardiovascular disease has grown dramatically over the past 2 decades, and the range of potential disease mechanisms now includes pathways previously thought only tangentially involved in cardiac or vascular disease. Despite these insights, the majority of active cardiovascular agents derive from a remarkably small number of classes of agents and target a very limited number of pathways. These agents have often been used initially for particular indications and then discovered serendipitously to have efficacy in other cardiac disorders or in a manner unrelated to their original mechanism of action. In this review, the rationale for in vivo screening is described, and the utility of the zebrafish for this approach and for complementary work in functional genomics is discussed. Current limitations of the model in this setting and the need for careful validation in new disease areas are also described. An overview is provided of the complex mechanisms underlying most clinical cardiovascular diseases, and insight is offered into the limits of single downstream pathways as drug targets. The zebrafish is introduced as a model organism, in particular for cardiovascular biology. Potential approaches to overcoming the hurdles to drug discovery in the face of complex biology are discussed, including in vivo screening of zebrafish genetic disease models.

Dysregulation of lipids in Alzheimer's disease and their role as potential biomarkers

The brain is highly enriched in lipids, and an intensive study of these lipids may be informative, not only of normal brain function but also of changes with age and in disease. In recent years, the development of highly sensitive mass spectrometry platforms and other high-throughput technologies has enabled the discovery of complex changes in the entire lipidome. This lipidomics approach promises to be a particularly useful tool for identifying diagnostic biomarkers for early detection of age-related neurodegenerative disease, such as Alzheimer's disease (AD), which has till recently been limited to protein- and gene-centric approaches. This review highlights known lipid changes affecting the AD brain and presents an update on the progress of lipid biomarker research in AD. Important considerations for designing large-scale lipidomics experiments are discussed to help standardize findings across different laboratories, as well as challenges associated with moving toward clinical application.

The use of biomarkers in human pharmacology (Phase I) studies

The development of a new medicine is a risky and costly undertaking that requires careful planning. This planning is largely applied to the operational aspects of the development and less so to the scientific objectives and methodology. The drugs that will be developed in the future will increasingly affect pathophysiological pathways that have been largely unexplored. Such drug prototypes cannot be immediately introduced in large clinical trials. The effects of the drug on normal physiology, pathophysiology, and eventually the desired clinical effects will need to be evaluated in a structured approach, based on the definition of drug development as providing answers to important questions by appropriate clinical studies. This review describes the selection process for biomarkers that are fit-for-purpose for the stage of drug development in which they are used. This structured and practical approach is widely applicable and particularly useful for the early stages of innovative drug development.

Cardiovascular risk in rheumatoid arthritis: recent advances in the understanding of the pivotal role of inflammation, risk predictors and the impact of treatment

Risk of cardiovascular (CV) disease is increased among RA patients. High inflammatory burden associated with RA appears to be a key driver of the increased cardiovascular risk. Inflammation is linked with accelerated atherosclerosis and associated with a paradoxical inversion of the relationship between CV risk and lipid levels in patients with untreated RA, recently coined the lipid paradox. Furthermore, the inflammatory burden is also associated with qualitative as well as quantitative changes in lipoproteins, with the anti-inflammatory and atheroprotective roles associated with high-density lipoprotein cholesterol significantly altered. RA therapies can increase lipid levels, which may reflect the normalization of lipids due to their inflammatory-dampening effects. However, these confounding influences of inflammation and RA therapies on lipid profiles pose challenges for assessing CV risk in RA patients and interpretation of traditional CV risk scores. In this review we examine the relationship between the increased inflammatory burden in RA and CV risk, exploring how inflammation influences lipid profiles, the impact of RA therapies and strategies for identifying and monitoring CV risk in RA patients aimed at improving CV outcomes.

Accumulating Evidence and Research Organization (AERO) model: a new tool for representing, analyzing, and planning a translational research program

BACKGROUND

Maximizing efficiency in drug development is important for drug developers, policymakers, and human subjects. Limited funds and the ethical imperative of risk minimization demand that researchers maximize the knowledge gained per patient-subject enrolled. Yet, despite a common perception that the current system of drug development is beset by inefficiencies, there remain few approaches for systematically representing, analyzing, and communicating the efficiency and coordination of the research enterprise. In this paper, we present the first steps toward developing such an approach: a graph-theoretic tool for representing the Accumulating Evidence and Research Organization (AERO) across a translational trajectory.

METHODS

This initial version of the AERO model focuses on elucidating two dimensions of robustness: (1) the consistency of results among studies with an identical or similar outcome metric; and (2) the concordance of results among studies with qualitatively different outcome metrics. The visual structure of the model is a directed acyclic graph, designed to capture these two dimensions of robustness and their relationship to three basic questions that underlie the planning of a translational research program: What is the accumulating state of total evidence? What has been the translational trajectory? What studies should be done next?

RESULTS

We demonstrate the utility of the AERO model with an application to a case study involving the antibacterial agent, moxifloxacin, for the treatment of drug-susceptible tuberculosis. We then consider some possible elaborations for the AERO model and propose a number of ways in which the tool could be used to enhance the planning, reporting, and analysis of clinical trials.

CONCLUSION

The AERO model provides an immediate visual representation of the number of studies done at any stage of research, depicting both the robustness of evidence and the relationship of each study to the larger translational trajectory. In so doing, it makes some of the invisible or inchoate properties of the research system explicit - helping to elucidate judgments about the accumulating state of evidence and supporting decision-making for future research.

The landscape of drug discovery in atherosclerosis and dyslipidaemia revisited: an update of patenting activity

INTRODUCTION

This paper is an update of a previous paper I published in Expert Opinion of Therapeutic Patents in 2008. The paper was a survey of patenting activity in the fields of atherosclerosis and dyslipidaemia, which identified trends in patenting by reviewing two major mechanistic categories, metabolic/dyslipidaemia and vascular/inflammation, as well as examining the interest in certain specific targets over a period of 10 years.

METHODS

In this update, the same methodology was followed using the Espacenet of the European Patent Office (EPO) to identify patents claiming therapeutics for atherosclerosis or dyslipidaemia (excluding the wider metabolic syndrome).

EXPERT OPINION

A major change in the field over the past 5 years has been the departure of larger companies from the field. This is reflected in the patenting activity. Patenting has been at a stable rate over the recent years with few new targets being highlighted. It is suggested that, for this field to return to the higher rates of patenting seen over 10 years ago, breakthroughs in translational medicine and in the ability to conduct clinical trials, particularly in biomarkers and imaging, will need to take place.

Understanding pharmacology in humans: Phase I and Phase II (data generation)

The discovery of novel drugs is a complex and highly regulated process organized around a critical moment, that is, when the novel compound is tested in humans. This process encompasses a series of clinical studies, identified as Phase I and Phase II, whose composite outcome should deliver the data needed for an informed decision about progressing or not the compound in full development (Phase III). Over the last 10 years the global delivery of novel treatments from the pharmaceutical industry has plunged to the level of the '70ies in spite of a 10-fold larger investment, the differential mostly due to failures in Phase III. There is the need to improve the decision making at the early clinical stage by using innovation and the high-profile achievements of basic science generated in academic and biomedical labs. A specific attention should be paid to applied biotechnologies, in particular nanotechnology and biomedical devices not only for drug deliver but also for biomarker detection. This path, also supported by regulatory agencies, is calling for an important change of perspective about how drug discovery is made, which we believe should start from the full implementation of the paradigm of Translational Medicine.

Developing drug prototypes: pharmacology replaces safety and tolerability?

New medicines are designed to bind to receptors or enzymes and are tested in animal cells, tissues and whole organisms in a highly scientific process. Subsequently they are often administered to human subjects with tolerability as the primary objective. The process of development is considered to be linear and consecutive and passes through the famous four phases of development (Phase I-Phase IV). This is efficient for those projects for which the uncertainty about the development is low. There is, however, an increasing number of new prototypical compounds resulting from the increased biological knowledge with a high level of uncertainty. For these prototypical drugs development has to proceed in a much more adaptive manner, using tailor-made objectives, the development of special methodology and a cyclical rather than a linear type of project management.

Cholesteryl ester transfer protein in patients with coronary heart disease

BACKGROUND

The impact of cholesteryl ester transfer protein (CETP) in the development of atherosclerosis is a matter for ongoing debate. In this study, we analyse associations of CETP with cardiovascular endpoints in a cohort of patients with stable coronary artery disease (CAD).

DESIGN

KAROLA is a prospective observational study of patients with CAD and a median follow-up of 8 years (n = 1132). CETP levels were measured using an enzyme-linked immunosorbent assay.

RESULTS

Cholesteryl ester transfer protein levels were lower in men (P = 0.0016), positively correlated to low-density lipoprotein cholesterol, and inversely correlated to triglyceride levels (P < 0.0001 and P = 0.011 respectively). There was no significant difference in mortality between patients in different CETP quartiles; the hazard ratio of lowest vs. highest quartile was 1.33 (95% confidence interval (CI): 0.77-2.30) for mortality and 1.24 (95% CI: 0.75-2.03) for secondary events. In post hoc analyses, comparing nondiabetic subjects with CETP below vs. above median, the adjusted hazard ratio for death in patients with low CETP levels was 1.84 (95% CI: 1.10-3.09).

CONCLUSION

Although statistically significant associations were found only in post hoc analyses, the effect sizes in this study were in line with previous findings in the Framingham and LURIC population. In combination, the emerging evidence challenges the concept of pharmacological CETP inhibition.