Defining the Role of Pharmacology in the Emerging World of Translational Research

https://doi.org/10.1016/S1054-3589(08)57001-3Get rights and content

Abstract

Pharmacology is focused on studying the effects of endogenous agents and xenobiotics on tissue and organ function. Analysis of the concentration/response relationship is the foundation for these assessments as it provides quantifiable information on compound efficacy, potency, and, ultimately, side-effect liability and therapeutic index. Historically, pharmacology has been viewed as a unifying, hierarchically integrated, and technologically agnostic discipline. Besides being important in the development of new medications, pharmacological research has led to a better understanding of disease pathogenesis and progression. By defining the effects of compounds in vitro and in vivo, pharmacology has provided the means to validate, optimize, and advance new chemical entities (NCEs) to human testing. With the advent of molecular biology-based assay systems and a technology-driven (high-throughput screening, combinatorial chemistry, SNP mapping, systems biology) reductionistic focus, the integrated, hypothesis-driven pharmacological approach to drug discovery has been de-emphasized in recent years. This shift in research emphasis is now viewed by many as a major factor in the decline of new drug approvals and has led to various initiatives, the most notable being the Critical Path and Phase 0 clinical trial initiatives launched by the US Food and Drug Administration (FDA). These programs underscore the growing need for individuals trained in integrative pharmacology and having a background in molecular pharmacology to drive the drug discovery process and to fostering the translational research that is now considered vital for more rapidly identifying novel, more effective, and safer medications.

Introduction

Molecular pharmacology evolved in the mid-twentieth century as a result of advances in biochemistry. This approach to studying drug actions provided a potentially facile means for identifying sites that may be targeted for more precisely attacking the pathophysiology of disease processes. By adding to a systematic, heuristic framework for defining the mechanisms of disease causality, molecular pharmacology has become a critical component of the in vitro/in vivo hierarchy of assay systems used for evaluating hypotheses in the drug discovery process.

The importance of the contributions of molecular pharmacology to biomedical research is reflected in the number of Nobel Prizes in medicine awarded over the past 50 years for fundamental discoveries in disease causality and the manner in which drugs affect these processes. Thus, the prize has been given for discoveries relating to mechanisms for the storage, release, and inactivation of humoral transmitters; the action of hormones; signal transduction in the cardiovascular and nervous systems; peptide hormone production; regulation of cholesterol metabolism; and the establishment of modern mechanistic principles for drug treatment. With respect to the last topic, the Nobel Prize was awarded to Gertrude Elion, George Hichens, and Sir James Black for their discoveries relating to particular drug entities, namely azathioprine, acyclovir, and the H2 receptor blocker cimetidine (http://nobelprize.org/nobel_prizes/medicine/laureates/index.html).

These successes solidified the molecular approach to drug discovery and this research orientation subsequently expanded to include gene cloning techniques, leading to an increased emphasis on transcriptional and translational processes as drug targets (Celis et al., 2000). However, the impact of the characterization of the human genome (International Human Genome Sequencing Consortium, 2004) has fallen far short of its predicted utility for, and impact on, drug discovery (Collins et al., 2003). While this is probably due, in part, to an oversimplification of the target validation process (Kopec, Bozyczko-Coyne, & Williams, 2005) and highly optimistic time lines, the human genome effort still has a far reaching influence in regard to the design of research programs aimed at defining drug mechanisms of action, efficacy, and side-effect profiles.

The late 1960s witnessed a resurgence of the receptor–ligand concept, at that time some 100 years old (Maehle, Prüll, & Halliwell, 2002). The delay in acceptance was due, in part, to the fact that it took time to convince a majority of biomedical scientists that drug receptors were cell surface entities through which medications exert their actions (Kenakin, 2009, Rang, 2006).

The notion that intracellular proteins might also function as drug targets was given little consideration, however. Thus, potential roles for small molecules interacting with DNA (Chenoweth & Dervan, 2009), ATP-binding proteins (e.g., protein kinases in cancer; Zhang, Yang, & Gray, 2009), NOD (nucleotide-binding and oligomerization domain)-like receptors (NLRs; Geddes, Magalhaes, & Girardin, 2009) of “omal” intracellular targets like the proteasome (Ruggeri, Miknyoczki, Dorsey, & Hui, 2009), the spliceosome (Rino & Carmo-Fonseca, 2009), and the inflammasome (Martinon & Tschopp, 2007) were not considered for many more years. Similarly proteostasis networks (Powers, Morimoto, Dillin, Kelly, & Balch, 2009), a fundamental role for mitochondrial dysfunction in disease etiology and drug treatment (Javadov et al., 2009, Kita et al., 2004, Wu et al., 2009), and the use of antibodies (Brekke & Sandlie, 2003) and RNA interference (Dykxhoorn & Lieberman, 2005) were/are all novel concepts for therapeutics. Additionally, until recently, disease causality was rarely considered in terms other than as a binary event. Thus, in the mid- to late twentieth century, the prevailing view was that diseases were caused by tissue dysfunction with the progression spectrum reflecting the difference between the normal and diseased state. That disease states could reflect an imbalance or overexpression of a normal homeostatic defense process, such as parainflammation (Medzhitov, 2008), was a concept that evolved over time. Molecular pharmacology thus added a new dimension to the drug discovery paradigm with the provision of a molecular basis for tissue dysfunction (Enna, Fuerstein, Piette, & Williams, 2008).

The mapping of the human genome provided an additional certainty to the molecular equation such that it was believed that defects in a single gene would be found responsible for a particular disease. This led to an explosion in gene association studies with common conditions like Parkinson’s disease, Type II diabetes, and hypertension being anticipated to be linked to a disease-specific gene variant that would be common to all those suffering from these conditions. However, once data were accumulated, unbridled optimism gave way to the realization that multiple factors, genetic and epigenetic, were usually causal for human disorders (Hardy and Singleton, 2009, Wilgenbus et al., 2007, Williams, 2009, Uher et al., 2009, Uher et al., 2009, Vogelstein and Hayden, 2008).

Nonetheless, the molecular era of drug discovery, and the focus on developing targeted therapeutics, has yielded many important new drugs, including the statins for hypercholesterolemia (Mills et al., 2008), β-adrenoceptor antagonists (Task Force, 2004), angiotensin-converting enzyme (ACE) inhibitors, calcium blockers (Neal et al., 2000), renin inhibitors (Villamil et al., 2007), and vasopressin V2 antagonists (Miyazaki, Fujiki, Yamamura, Nakamura, & Mori, 2007) for hypertension, the SSRI (selective 5-HT reuptake inhibitor) antidepressants (Wong, Perry, & Bymaster, 2005), and the anxiolytic benzodiazepines (BZ) (Martin et al., 2007). While the selective cyclooxygenase (COX-2) inhibitors celecoxib, rofecoxib, and valdecoxib were withdrawn from the market because of an increased incidence of myocardial infarction and ischemic stroke associated with their use (Wong et al., 2005), these second-generation nonsteroidal anti-inflammatory drugs (NSAIDs) were highly effective as arthritis medications and had utility in the treatment of certain cancer types (Kashfi, 2009). Similarly, etanercept, infliximab, and adalimumab, biologics and antibodies that target the TNF-α receptor–ligand interaction, are important drugs for reducing the inflammatory consequences associated with rheumatoid, psoriatic and juvenile idiopathic arthritis, ankylosing spondylitis, and plaque psoriasis (Shealy & Visvanathans, 2008).

However, it is also noteworthy that many very useful medications, including clozapine for schizophrenia, pregabalin for neuropathic pain, modafinil for wake promotion, and valproic acid for epilepsy and biopolar disorder, have as yet no clearly defined molecular mechanism of action despite many years of research. Nonetheless, these compounds, through targets yet to be discovered or because of their non-selective interaction with multiple targets (Roth, Sheffler, & Kroeze, 2004), are effective medications. This reinforces the value of a more holistic, and perhaps a less target-oriented, approach to biomedical research like that traditionally embodied in the discipline of pharmacology.

Section snippets

Historical Perspective of Pharmacology

Throughout the past 150 years the intellectual underpinning of biomedical research has been the “lock and key” theory of hormone and drug action that led to the receptor concept (Kenakin, 2009, Rang, 2006). Receptors thus represent the molecular targets through which chemical entities exert their effects (Changeux & Edelstein, 2005). The receptor concept originated from the seminal work of Ehrlich and Langley at the end of the nineteenth century (Parascandola, 1986) from their studies on the

Initiatives to Improve Drug Discovery Productivity

The fall in the number of new drug approvals has been extensively documented in both the scientific (Duyk, 2003, Edwards et al., 2009, FDA, 2004, Kola, 2008, Kola and Landis, 2004, LoRusso, 2009, Milne, 2003) and lay (Shaywitz & Taleb, 2008) press. Despite major advances in preclinical research technologies, only 8% of NCEs that enter clinical trials are ultimately marketed, as compared to 14% in 1985. This decline has been attributed to a variety of causes. Included are the complexity,

Animals and Humans

The preclinical research that contributes to the selection of an IND candidate typically occurs in a relatively well-defined and controlled environment, with the tissue samples and subjects (animals) being studied being relatively uniform in their characteristics. Accordingly, the preclinical research process is relatively straightforward and economical, resulting in data that are generally highly reproducible. This contrasts markedly to the clinical situation where subjects are drawn from a

Conclusion

Translational research as a scientific discipline is very much in its infancy (Wehling, 2009), with numerous hurdles to overcome before it matures into an established approach for drug development. Clearly, much work remains to more effectively chart the path forward from a preclinical IND submission data set to a proof of concept in Phase IIa. Pharmacology has a key role to play in this process by providing the critical information required about the actions of an NCE in vitro and in vivo, as

Acknowledgments

The authors would like to thank Mark Ator, Jim Barrett, Emir Duzic, Gary Firestein, Garrett FitzGerald, Terry Kenakin, Dan Hackam, Jay Robert, Bruce Ruggeri, Peter Tummino, and Martin Wehling for their insights on the translational process in drug discovery.

Conflict Statement: S.J. Enna has no conflicts of interest with regard to the subject matter of this review. Michael Williams is a full-time employee of Cephalon, Inc., a biopharmaceutical company involved in the discovery, clinical

References (158)

  • A. Laszlo et al.

    NK1 receptor antagonists – are they really without effect in the pain clinic?

    Trends in Pharmacological Sciences

    (2000)
  • R.J. Lefkowitz

    Historical review: A brief history and personal retrospective of seven-transmembrane receptors

    Trends in Pharmacological Sciences

    (2004)
  • M.D. Lindner et al.

    Development, optimization and use of preclinical behavioral models to maximize the productivity of drug discovery for Alzheimer’s disease

  • S.M. Abdel-Rahman et al.

    The integration of pharmacokinetics and pharmacodynamics: Understanding dose-response

    Annual Review of Pharmacology and Toxicology

    (2004)
  • J.U. Adams

    Building the bridge from bench to bedside

    Nature Reviews. Drug Discovery

    (2008)
  • B.B. Aggarwal et al.

    Models for prevention and treatment of cancer: Problems vs. promises

    Biochemical Pharmacology

    (2009)
  • M.A. Ator et al.

    Overview of drug discovery and development

  • C.P. Austin et al.

    NIH molecular libraries initiative

    Science

    (2004)
  • A.W. Bannon et al.

    Broad-spectrum, non-opioid analgesic activity by selective modulation of neuronal nicotinic acetylcholine receptors

    Science

    (1998)
  • G. Blackburn-Monro

    Pain-like behaviors in animals – how human are they?

    Trends in Pharmacological Sciences

    (2004)
  • P. Blier

    Do antidepressants really work?

    Journal of Psychiatry & Neuroscience

    (2008)
  • L.S. Brady et al.

    NIMH initiatives to facilitate collaborations between industry, academia and government for the discovery and clinical testing of novel models and drugs for psychiatric disorders

    Neuropsychophamacology

    (2009)
  • O.H. Brekke et al.

    Therapeutic antibodies for human diseases at the dawn of the twenty-first century

    Nature Reviews. Drug Discovery

    (2003)
  • M. Briley et al.

    Anxiolytics

    (2000)
  • H.-Z. Bu et al.

    High-throughput cytochrome P450 (CYP) inhibition screening via cassette probe-dosing strategy. I. Development of direct injection/on-line guard cartridge extraction tandem mass spectrometry for the simultaneous detection of CYP probe substrates and their metabolites

    Rapid Communications in Mass Spectrometry

    (2000)
  • G.W. Caldwell et al.

    Allometric scaling of pharmacokinetic parameters in drug discovery: Can human CL, Vss and t1/2 be predicted from in vivo rat data?

    European Journal of Drug Metabolism and Pharmacokinetics

    (2004)
  • M.H. Cardiel et al.

    Abetimus sodium for renal flare in systemic lupus erythematosus: Results of a randomized, controlled phase III trial

    Arthtitis and Rheumatism

    (2008)
  • J.-P. Changeux et al.
  • F. Chast

    A history of drug discovery

  • D.M. Chenoweth et al.

    Allosteric modulation of DNA by small molecules

    Proceedings of the National Academy of Sciences of the United States of America

    (2009)
  • S.L. Chiang

    Chemical genetics: Use of high-throughput screening to identify small-molecule modulators of proteins involved in cellular pathways with the aim of uncovering protein function

  • F.S. Collins et al.

    A vision for the future of genomics research

    Nature

    (2003)
  • M.G. Collis

    Integrative pharmacology and drug discovery – is the tide finally turning?

    Nature Reviews. Drug Discovery

    (2006)
  • J. Comley

    Tools and technologies that facilitate automated screening

  • P.J. Conn et al.

    Opportunities and challenges of psychiatric drug discovery: Roles for scientists in academic, industry, and government settings

    Neuropsychopharmacology

    (2008)
  • R.A. Copeland et al.

    Drug-target residence time and its implications for lead optimization

    Nature Reviews. Drug Discovery

    (2007)
  • M. Costigan et al.

    Neuropathic pain: A maladaptive response of nervous system to damage

    Annual Review of Neuroscience

    (2009)
  • P. Cuatrecasas

    Drug discovery in jeopardy

    Journal of Clinical Investigation

    (2006)
  • M. Danhof et al.

    Mechanism-based pharmacokinetic/pharmacodynamic modeling: Biophase distribution, receptor theory, and dynamical systems analysis

    Annual Review of Pharmacology and Toxicology

    (2007)
  • M. Day et al.

    Cognitive endpoints as disease biomarkers: Optimizing the congruency of preclinical models to the clinic

    Current Opinion in Investigational Drugs

    (2008)
  • J. Dixon et al.

    Vertical disintegration: A strategy for pharmaceutical businesses in 2009?

    Nature Reviews. Drug Discovery

    (2009)
  • G. Duyk

    Attrition and translation

    Science

    (2003)
  • E. Duzic et al.

    Receptor binding in drug discovery

  • D.M. Dykxhoorn et al.

    The silent revolution: RNA interference as basic biology, research tool, and therapeutic

    Annual Review of Medicine

    (2005)
  • A.M. Edwards et al.

    Open access chemical and clinical probes to support drug discovery

    Nature Chemical Biology

    (2009)
  • S.J. Enna et al.

    Challenges in the search for drugs to treat central nervous system disorders

    Journal of Pharmacology and Experimental Therapeutics

    (2009)
  • M.E. Eldefrawi et al.

    Characterization and partial purification of the acetylcholine receptor from Torpedo electroplax

    Proceedings of the National Academy of Sciences of the United States of America

    (1972)
  • Innovation/stagnation

    Challenge and opportunity on the critical path to new medical products

    (2004)
  • Guidance for industry and reviewers. Exploratory IND Studies

  • G.S. Firestein et al.

    DNA microarrays: Boundless technology or bound by technology? Guidelines for studies using microarray technology

    Arthtitis and Rheumatism

    (2002)
  • Cited by (38)

    View all citing articles on Scopus
    View full text