Elsevier

Biochemical Pharmacology

Volume 85, Issue 3, 1 February 2013, Pages 289-305
Biochemical Pharmacology

Commentary
Alzheimer's therapeutics: Continued clinical failures question the validity of the amyloid hypothesis—but what lies beyond?

https://doi.org/10.1016/j.bcp.2012.11.014Get rights and content

Abstract

The worldwide incidence of Alzheimer's disease (AD) is increasing with estimates that 115 million individuals will have AD by 2050, creating an unsustainable healthcare challenge due to a lack of effective treatment options highlighted by multiple clinical failures of agents designed to reduce the brain amyloid burden considered synonymous with the disease.

The amyloid hypothesis that has been the overarching focus of AD research efforts for more than two decades has been questioned in terms of its causality but has not been unequivocally disproven despite multiple clinical failures, This is due to issues related to the quality of compounds advanced to late stage clinical trials and the lack of validated biomarkers that allow the recruitment of AD patients into trials before they are at a sufficiently advanced stage in the disease where therapeutic intervention is deemed futile.

Pursuit of a linear, reductionistic amyloidocentric approach to AD research, which some have compared to a religious faith, has resulted in other, equally plausible but as yet unvalidated AD hypotheses being underfunded leading to a disastrous roadblock in the search for urgently needed AD therapeutics. Genetic evidence supporting amyloid causality in AD is reviewed in the context of the clinical failures, and progress in tau-based and alternative approaches to AD, where an evolving modus operandi in biomedical research fosters excessive optimism and a preoccupation with unproven, and often ephemeral, biomarker/genome-based approaches that override transparency, objectivity and data-driven decision making, resulting in low probability environments where data are subordinate to self propagating hypotheses.

Introduction

Alzheimer's disease (AD), the most common form of dementia in the elderly, affects 5.4 million patients in the US alone, with 1 in 8 individuals 65 or older suffering from the disorder. It is the fifth leading cause of death in this group [1]. Particularly sobering is that the number of patients with AD is increasing [2], [3], with predictions of 115 million being affected by 2050 (http://www.alz.co.uk/research/statistics, http://www.alz.org/downloads/facts_figures_2012.pdf) due to: the aging of the population; the continuing lack of progress in identifying effective treatment modalities; and the lack of predictive diagnostic techniques. In 2010, the worldwide prevalence of AD was estimated at approximately 36 million individuals with an annual societal cost of US$604 billion, numbers that probably underestimate AD incidence as approximately 50% of cases are undiagnosed, especially in the early stages of the disease.

At any given time, it has been estimated that 25% of all hospital patients, 65 years or older, have AD. In 2004, these individuals had 828 hospital stays per 1000 Medicare beneficiaries, compared to 266/1000 for patients without AD. Additionally, annualized Medicaid costs for patients over 65 years of age are nine times higher if the patient has AD ($8419 vs. $915). Indeed, provision of care for AD patients has the potential to bankrupt many western healthcare systems if effective treatments are not found [2], [3]. Since drugs to slow or reverse AD progression have been estimated to have a potential market in excess of $20 billion per year, they are a high priority for both the pharmaceutical and biotechnology industries.

The actual pathological process(es) underlying AD causality are thought to begin 20–25 years before overt clinical symptoms become apparent [4], [5], [6], [7] making accurate diagnosis of the disease at as early a stage as possible a critical priority. As current diagnostic tools based on behavioral outcomes [8] and biomarkers (brain volume and metabolism, neuronal loss, brain/CSF amyloid load, CSF tau) have yet to be convincingly validated [9] with AD diagnosis arguably only possible when the disease is well advanced, new diagnostic guidelines proposed in 2011 [10], [11], [12] are currently under validation.

While both familial and sporadic forms of AD have been identified [13], [14], the ability of the familial form, which represents less than 1% of total AD incidence [15], [16] to usefully inform the causality of the sporadic disease state, is debatable. Thus, despite large investments by both academia and the pharmaceutical industry over the past 25 years, the cause(s) of AD remains largely unknown.

Section snippets

Historical drug discovery efforts

Early studies of brain samples from AD patients led to the identification of two key protein aggregates that are considered hallmarks of AD: (i) extracellular amyloid plaques that are mainly comprised of Aβ, a peptide that occurs primarily in 40mer and 42mer forms, designated Aβ40 and Aβ42, that are derived from amyloid precursor protein (APP) in the brain; and (ii) intraneuronal neurofibrillary tangles (NFTs) [13], [14] that contain hyperphosphorylated tau, a protein associated with

Genetics of AD

Genetic factors play a key role in the development and progression of AD, contributing to as much as 80% of the phenotypic variability in the disease [16]. The search for the gene(s) involved in the pathophysiology of AD has been ongoing since 1987 [37] with some 120 AD-associated gene loci identified as either causal or risk factors [38], [39] suggesting a multifactorial causality for the disease with low effect size or the possibility that AD represents more than a single disease. While many

Amyloid and AD therapeutics

Amyloid plaques formed by aggregation and deposition of Aβ are a well-established hallmark of AD neuropathology [13], [14], [70] being widely thought to be causal in disease etiology [66], [67]. Accordingly, current drug discovery approaches in AD have focused on; (i) preventing Aβ formation or improving ‘normal’ APP processing via the inhibition of γ-secretase or β-secretase or activation of α-secretase activity [24], [25], [72] or; (ii) removing existing amyloid deposits using

Alternative hypotheses/approaches to AD therapeutics

Alternative theories to AD causality that have emerged over the past two decades include environmental factors, e.g., the use of aluminum cooking utensils, increased vehicle exhaust in the atmosphere, stress, diet, hormones, diabetes, overuse of antibiotics with attendant alterations in the microbiome [185], intracranial atherosclerosis and the absence of robust intellectual stimuli in present day society. These causes have been complemented by the underlying tissue dysfunction resulting from

Amyloid, AD and the fallacy of low validity environments

With seven therapeutics targeted at ameliorating the amyloid burden in AD now having failed to show robust effects in the clinic, treatment for AD remains limited to four questionably effective palliative drugs. Based on the confounds of the trials and the increasing repetitive chant of “right target, wrong compound” [73], [92] that occurs with each new failure reported, the validity of the amyloid hypothesis remains untested as a result of this remarkable series of failures. Thus the

Is there a logical path forward?

In assessing next steps in AD therapeutics – the laudable road forward [256] – it is appropriate to objectively re-examine the amyloid trial outcomes in the context of the API/DIAN/NAPA initiatives [116], [117], [118], where the gamble [257] will be enhanced exponentially if prodromal studies represent the ultimate path forward [179]. In addition, it is imperative to invest significant research efforts and funding to alternative approaches, e.g., tau, ApoE4, recognizing that the likelihood of

Note added in proof

Shortly after completion of this manuscript, two groups reported that rare variants, e.g., R47H, in the TREM2 gene are another risk factor for LOAD with an odds ratio similar to that observed with ApoE4 [265], [266]. TREM2 encodes for an innate immune receptor present on the cell surface of the EM2 subset of myeloid receptors. In microglia, this receptor is involved in the clearance of neural debris from the CNS, via a process involving phagocytosis and ROS production [267] suggesting that

Conflict of interest

KM is a consultant to the Gladstone Institutes in the area of Alzheimer's disease medications. MW has no conflicts.

Acknowledgments

The authors would like to thank Mike Marino for helpful discussion, Ian Clark for alerting us to his publications in the area of TNF and AD, and would also like to acknowledge the extensive contributions of the late Mark Smith, George Perry and their associates in consistently questioning the many inconsistencies in the amyloid hypothesis of AD.

References (268)

  • J. Cummings

    What can be inferred from the interruption of the semagacestat trial for treatment of Alzheimer's disease?

    Biol Psychiatry

    (2010)
  • M.O.W. Grimm et al.

    Amyloid beta as a regulator of lipid homeostasis

    Trends Mol Med

    (2007)
  • C. Holmes et al.

    Long-term effects of Aβ immunisation in Alzheimer's disease: follow-up of a randomised, placebo-controlled phase I trial

    Lancet

    (2008)
  • G.K. Wilcock et al.

    Efficacy and safety of tarenflurbil in mild to moderate Alzheimer's disease: a randomised phase II trial

    Lancet Neurol

    (2008)
  • F. Gervais et al.

    Targeting soluble Aβ peptide with tramiprosate for the treatment of brain amyloidosis

    Neurobiol Aging

    (2007)
  • D. Saumier et al.

    Domain-specific cognitive effects of tramiprosate in patients with mild to moderate Alzheimer's disease: ADAS-cog subscale results from the Alphase Study

    J Nutr Health Aging

    (2009)
  • A. Miniño et al.

    Deaths: final data for 2008. National Vital Statistics Reports

    (2011)
  • K. Moschetti et al.

    Burden of Alzheimer's disease–related mortality in the United States, 1999-2008

    J Am Geriatr Soc

    (2012)
  • J. Götz et al.

    Alzheimer's disease models and functional genomics-how many needles are there in the haystack?

    Front Physiol

    (2012)
  • J.C. Morris et al.

    Pathologic correlates of non demented aging, mild cognitive impairment, and early-stage Alzheimer's disease

    J Mol Neurosci

    (2001)
  • M.N. Braskie et al.

    Common Alzheimer's disease risk variant within the CLU gene affects white matter microstructure in young adults

    J Neurosci

    (2011)
  • R.J. Bateman et al.

    Clinical and biomarker changes in dominantly inherited Alzheimer's disease

    N Engl J Med

    (2012)
  • S. Weintraub et al.

    The neuropsychological profile of Alzheimer disease

    Cold Spring Harb Perspect Med

    (2012)
  • B. Dubois et al.

    Revising the definition of Alzheimer's disease: a new lexicon

    Lancet Neurol

    (2010)
  • H.W. Querfurth et al.

    Alzheimer's disease

    N Engl J Med

    (2010)
  • D.M. Holtzman et al.

    Alzheimer's disease: the challenge of the second century

    Science Transl Med

    (2011)
  • R.J. Castellani et al.

    Compounding artefacts with uncertainty, and an amyloid cascade hypothesis that is ‘too big to fail’

    J Pathol

    (2011)
  • C. Cruchaga et al.

    Rare variants in APP PSEN1 and PSEN2 increase risk for AD in late-onset Alzheimer's disease families

    PLoS ONE

    (2012)
  • J. Hardy

    The amyloid hypothesis for Alzheimer's disease: a critical reappraisal

    J Neurochem

    (2009)
  • J. Joseph et al.

    Copernicus revisited: amyloid beta in Alzheimer's disease

    Neurobiol Aging

    (2001)
  • R.J. Castellani et al.

    Alzheimer disease pathology as a host response

    J Neuropathol Exp Neurol

    (2008)
  • R.J. Castellani et al.

    Neuropathology of Alzheimer's Disease: pathognomonic but not pathogenic

    Acta Neuropathol

    (2006)
  • J.J. Palop et al.

    Amyloid-β-induced neuronal dysfunction in Alzheimer's disease: from synapses toward neural networks

    Nat Neurosci

    (2010)
  • D. Schenk et al.

    Treatment strategies targeting amyloid β-protein

    Cold Spring Harb Perspect Med

    (2012)
  • V.M.-Y. Lee et al.

    Developing therapeutic approaches to tau, selected kinases, and related neuronal protein targets

    Cold Spring Harb Perspect Med

    (2011)
  • S. Kim et al.

    Genome-wide association study of CSF biomarkers Aβ1-42, t-tau, and p-tau181p in the ADNI cohort

    Neurology

    (2011)
  • H. Vanderstichele et al.

    Amino-truncated β-amyloid42 peptides in cerebrospinal fluid and prediction of progression of mild cognitive impairment

    Clin Chem

    (2005)
  • K. Blennow et al.

    Fluid biomarkers in Alzheimer disease

    Cold Spring Harb Perspect Med

    (2012)
  • Pharmaceutical Research and Manufacturer's of America. Alzheimer's research: setbacks and stepping stones; 2012....
  • R.T. Bartus et al.

    The cholinergic hypothesis of geriatric memory dysfunction

    Science

    (1982)
  • H. Kaduszkiewicz et al.

    Cholinesterase inhibitors for patients with Alzheimer's disease: systematic review of randomised clinical trials

    Br Med J

    (2005)
  • P. Raina et al.

    Effectiveness of cholinesterase inhibitors and memantine for treating dementia: evidence review for a clinical practice guideline

    Ann Intern Med

    (2008)
  • J. Birks

    Cholinesterase inhibitors for Alzheimer's disease

    Cochrane Database System Rev

    (2006)
  • L.E. Farrimond et al.

    Memantine and cholinesterase inhibitor combination therapy for Alzheimer's disease: a systematic review

    BMJ Open

    (2012)
  • R.E. Tanzi

    The genetics of Alzheimer disease

    Cold Spring Harb Perspect Med

    (2012)
  • L. Bertram et al.

    Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database

    Nat Genet

    (2007)
  • T.M. Feulner et al.

    Examination of the current top candidate genes for AD in a genome-wide association study

    Mol Psychiatry 2009

    (2010)
  • A. Gerrish et al.

    The role of variation at AβPP, PSEN1 PSEN2, and MAPT in late onset Alzheimer's disease

    J Alz Dis

    (2012)
  • R. Sherva et al.

    Power and pitfalls of the genome-wide association study approach to identify genes for Alzheimer's disease

    Curr Psychiatr Rep

    (2011)
  • P. Duggal et al.

    Establishing an adjusted p-value threshold to control the family-wide type 1 error in genome wide association studies

    BMC Genom

    (2008)
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