Abstract
Keywords
BACKGROUND
Treatments to prevent or slow down cognitive decline in Alzheimer’s disease (AD) remain an unmet therapeutic need. The drugs that have been approved to date for treatment of mild-to-moderate AD are acetylcholine esterase inhibitors, including tacrine (first approved treatment, withdrawn soon after because of reports of liver toxicity), donepezil (also approved for severe AD), rivastigmine (also approved for severe AD), and galantamine [1, 2]. These drugs increase levels of available acetylcholine, associated with memory and learning, during synaptic transmission and thus compensate for the diminished function of cholinergic neurons. Though the established mechanism is symptomatic, Dubois et al. recently reported a reasonably powered multicenter trial of donepezil versus placebo in mild cognitive impairment (MCI) that demonstrated significant effect of the drug in preserving hippocampal and whole brain volume at one year versus placebo [3]. In addition, memantine, an uncompetitive (open-channel) N-methyl-D-aspartate (NMDA) antagonist with neuroprotective properties [4], is approved for treatment of moderate to severe AD.
Numerous clinical trials have explored agents that could potentially not only interfere with the physiology of the disease but also provide short-term symptomatic improvement. However, to date none of the AD modifying treatments has reached regulatory approval.
While the mechanism of the onset of AD is still not fully understood, it is recognized that a strong genetic risk component is usually involved [5–11]. In addition to subjects’ genetic make up, multiple other lifestyle factors including physical and mental exercise, heart disease, diabetes, lower education, and mental diseases are thought to accelerate AD progression [12, 13].
Two primary neuropathologies in the brains of AD patients have been recognized and studied extensively over the last two decades, including amyloid plaques formation comprising aggregated amyloid-β (Aβ) and neurofibrillary tangles (NFTs) formed by aggregation of hyperphosphorylated tau protein. The aggregation and extracellular deposition of Aβ oligomers, drives neuronal death and AD pathogenesis [14, 15]. While pathologic concentrations of Aβ (nanomolar and micromolar) are considered neurotoxic, soluble Aβ protein present in low (picomolar) concentrations in normal brains, is thought to have multiple functions including modulating synaptic activity, memory formation, neuronal survival, antioxidant activity, effects on Ca transport, and maintenance of blood-brain barrier (BBB) integrity [16]. The sequential cleavage of native trans-membrane amyloid-β protein precursor (AβPP), thought to have a role in neurodevelopment, synaptogenesis, cell adhesion, and memory formation [17–20], is known to be the critical step in formation of Aβ peptides. It is believed that accumulation of Aβ oligomers hampers synaptic transmission and causes irreversible AD progression through an imbalance in production and clearance in neuronal synapses [21].
Several approaches to AD treatment have been tested in clinical trials, including agonists and antagonists of neurotransmitter receptors, β-secretase (β-site AβPP cleaving enzyme - BACE) or

Schematic Representation of Therapeutic Strategies. 1) Enhancement of neurotransmission; 2) Reduction of Aβ production and aggregation; 3) Enhancement of Aβ clearance; 4) Prevention of tau aggregation; 5) Anti-inflammatory agents; 6) Enhancement of microglial phagocytosis.
However, Aβ deposits in the brain start to accumulate years before cognitive symptoms appear [22]. While prevailing opinion supported by the stronger association of Aβ with genetic predisposition is that deposition of Aβ drives the pathology of the disease, NFTs are more closely associated with the cognitive decline [23, 24]. While transient and reversible hyperphosphorylation of tau has been reported to occur in normal brains during fetal development, anesthesia, and hypothermia, it is believed that in AD, the irreversible hyperphosphorylation of tau leads to neuronal loss and consequently to cognitive impairment [25].
Recent studies with a three-dimensional (3D)
Therapeutic strategies postulate that preventing tau hyperphosphorylation and aggregation can decrease formation of NFTs. Research has identified several potential therapeutic approaches: modulation of tau phosphorylation, prevention of tau aggregation, and promotion of tau clearance by intracellular and extracellular proteolysis and phagocytosis, as well as anti-tau directed immunotherapies [30, 31]. Only a few drugs that target tau phosphorylation and aggregation have reached late stage clinical trials. In part, this may be due to differences in structure, conformation, and complexity of changes during AD of tau protein compared to Aβ (Table 1). While Aβ consists of 36–42 amino acids, the human central nervous system expresses six tau isoforms that comprise from 352 to 441 amino acids with four sequence repeats in normal as compared to three sequence repeats in AD [32, 33]. Further, changes in Aβ and tau during the progression of AD are very different. Extracellular Aβ modifications during AD progression involve slow polymerization into oligomers that further aggregate. Initial tau modifications in AD progression are intracellular. Therefore, targeting tau protein as the therapeutic approach poses more complex challenges than targeting Aβ.
Comparison of properties of Tau and Aβ proteins
Inflammation triggered by innate immunity has also been reported to play an important role during both the early and late stages of the disease and contribution of glia to AD pathology and Aβ metabolism has been widely studied [34–38]. Microglia are implicated in propagation of hyperphosphorylated tau between neurons
Therefore, it is hypothesized that neuroinflammation plays a major role in AD progression and that activation and modulation of the innate immune system may lead to new approaches to treatment and prevention of cognitive decline in progression of AD.
While a number of anti-inflammatory drugs have been tested in therapeutic controlled clinical trials, none have been shown to slow the progression of cognitive symptoms in patients with mild to moderate AD [41–50]. For example, early epidemiological studies of NSAIDs, such as ibuprofen, reported lower rates of AD among individuals who had been taking these drugs for chronic treatment of inflammatory conditions [51, 52]. However, controlled clinical trials of ibuprofen at a dose of 400 mg/day showed no cognitive improvement and had known side effects [53].
Clinical trials that targeted Aβ plaque clearance in mild to moderate AD were potentially doomed to fail because at the onset of cognitive symptoms the brain has already been compromised with massive neuronal death. There is a general agreement that Aβ plaque removal cannot compensate for neural dysfunction and death. For mild to moderate AD, stabilizing AD progression by slowing down or inhibiting its pathology is the only viable treatment option. Novel approaches to treat AD at the prodromal stage, before significant neural damage has occurred, attempting to slow down and prevent disease progression are being explored.
Other pathogenic mechanisms have been reported to be associated with the progression of AD [54, 55], and these potential treatments have been studied in animal models and clinical trials. These approaches include antioxidants, drugs that target oxidative stress damage and mitochondrial dysfunction, iron deregulation, and abnormal cholesterol metabolism.
Given the complexity of AD progression and associated immune response, new approaches targeting multiple AD pathologies are being studied. Further, new understanding of the multiple roles of microglia and factors that affect their function in the progression of AD [10, 57], has potential to open vastly new therapeutic options and targets.
SYMPTOMATIC AND DISEASE MODIFYING APPROACHES: CLINICAL EXPERIENCE
The drugs currently used to treat cognitive decline (i.e., cholinesterase inhibitors, NMDA receptor antagonist), and drugs that treat behavioral and psychological symptoms (such as antidepressants and antipsychotic drugs, despite the controversies surrounding their use) have limited therapeutic value. However, despite the large number of approaches tested in clinical trials, cholinesterase inhibitor and NMDA receptor antagonist remain the only approved treatments for AD. Several reviews already provide comprehensive summaries of ongoing clinical and pre-clinical efforts to treatment of AD [54, 59]. Here, we focus on reviewing late stage clinical trials that did not reach efficacy endpoints and ongoing clinical trials, highlighting possible reasons for failures based on the information that has emerged from the body of clinical research.
As we noted earlier all approaches to treat AD targeted one mechanism of action associated with disease pathology and, further, the majority of research of validation of new targets evolved around Aβ. Expanding treatment options to combination therapy addressing several mechanisms is an important direction with potential to impact treatment as has been shown to be successful for other complex diseases (e.g., HIV and cancer treatment). This multi-faceted approach is even more reasonable given the complex aging brain, where immune surveillance and increased vulnerability to inflammatory response can accelerate disease progression. Recently, Eli Lilly started a Phase II study of LY3202626, a small molecule BACE inhibitor, administered together with monoclonal antibody LY3002813 targeting Aβ(p3-42), a pyroglutamate form of Aβ localized to aggregated Aβ in amyloid plaques. However, the combination arm in this trial was halted due to concerns about impact of the BACE inhibition on general cognition.
Other largely unsuccessful attempts to improve cognitive decline by enhancing neurotransmission are shown in Table 2 [60–71]. Despite encouraging preclinical and Phase II clinical results, the number of agents thought to improve cognitive decline by enhancing cholinergic neurotransmission, using serotonin 6 (5-HT6) receptor antagonists, Intepirdine [60], Idalopirdine [61], and PF-05212377 [62], failed to reach efficacy endpoints. Similarly, previous attempts to enhance acetylcholine response using H3 receptor antagonists, ABT-288, GSK239512, and S 38093, did not show sufficient cognitive improvement [64–66]. Other clinical trials discontinued due to the lack of efficacy include Xaliproden (5HT1-A receptor antagonist) [63], Atomoxetine (norepinephrine uptake inhibitor approved for treatment of ADHD) [68], Dimebon (anti-histamine) [69], S47445 (agonist of AMPA receptors for glutamate) [70], and Sembragiline [71]. Encenicline (
Late stage clinical trials: Neurotransmitters
The majority of drugs in development are focused on Aβ hypothesis, attempting to improve cognitive function through modulation of Aβ and tau levels. (Table 3) [72–87]. The
Late stage clinical trials: Disease modifying treatments targeting Aβ and tau proteins
Several passive immunotherapy drugs are undergoing clinical testing with mixed results. Bapineuzumab development was terminated because of the lack of efficacy and risk of adverse effects including microhemorrhages in the brain [82]. Intravenous immunoglobulin (IVIg) showed significant reductions in plasma Aβ42 levels compared with placebo but no benefits for improving cognition in patients with mild-to-moderate AD dementia, according to the results of a Phase III trial [46].
Tau-targeting approaches to date have been sparse (Table 3). LMTM (Methylene Blue, Tau aggregation inhibitor) was tested in a Phase III study in patients with mild to moderate AD, and failed to show clinical improvement [87]. Similarly, late stage clinical trials, aiming to treat inflammation related to AD including a number of NSAIDs have also had poor efficacy results (Table 4).
Late stage clinical trials: Disease modifying treatments targeting inflammation
The ongoing trials generally target earlier stages of the disease and use in part available biomarkers. BI 425809, a glycine transporter inhibitor thought to modulate NMDA receptor function, is currently in Phase II clinical trial in early AD patients. The next generation of small molecule BACE inhibitors (CNP520, Elenbecestat) are still in ongoing clinical trials in early AD patients and asymptomatic patients. Elenbecestat is being evaluated in a Phase III study in early AD patients with confirmed brain amyloid using positron emission tomography (PET) and/or cerebrospinal fluid (CSF) assessment. CNP520 is being tested in subjects who are otherwise healthy but at increased risk of developing AD based on their age, genotype, and amyloid levels.
Several passive immunotherapies advanced to Phase III and prevention trials after mixed Phase II efficacy results in mild to moderate AD. Crenezumab Phase III trials in patients with MCI or prodromal AD with PET and CSF evidence of Aβ pathology using higher dose, were terminated due to lack of efficacy [83]. Solanezumab missed on the primary endpoint in a Phase III trials in patients with mild AD and prodromal AD [85, 86]. It is also tested in the A4 prevention trial in asymptomatic or mildly symptomatic patients at risk of developing AD-related cognitive impairment, with amyloid plaque buildup as evidenced by florbetapir PET scan, with the goal of slowing down cognitive and memory decline and AD progression. The trial uses Preclinical Alzheimer Cognitive Composite (PACC) as a primary outcome measure as well as number of cognitive and functional scales, imaging and CSF biomarkers as secondary outcome measures. The results of the A4 prevention trial have not been reported to date. Gantenerumab is also being investigated in a Phase II/III trial aimed at preventing dementia in subjects with an inherited autosomal-dominant mutation in
Recently, positive results of the Phase II testing of BAN2401 have been reported at 18 months despite the fact that the results of interim analysis at 12 months missed the primary endpoint [81]. The Phase II trial results reported statistically significant slowing of the course of AD symptoms, as measured by a combination of cognitive assessments and dementia ratings (ADCOMS). However, the changes in the Clinical Dementia Rating Sum of Boxes (CDR-SB) were not statistically significant. Results were further compounded by exclusion of
Active immunotherapy trials include CAD106, vaccine that induces immunity to Aβ without eliciting an inflammatory response, currently in a Phase II/III prevention trial in homozygous
Few anti-inflammatory agents remain in clinical testing: Pioglitazone, an insulin sensitizer that is approved for treatment of Type 2 diabetes mellitus, GRF6019 (young adult plasma), and Neflamapimod, which is a small molecule believed to shift microglial pro-inflammatory state to a phagocytic state.
AZTherapies reported research results of beneficial effects of a combination treatment, currently in Phase III clinical testing, that studies modified cromolyn sodium, an asthma therapeutic agent, in combination with newly formulated low dose ibuprofen. It was shown that the combination treatment may simultaneously affect Aβ aggregation and inflammation associated with AD in animal models of the disease [88–90].
DISCUSSION
A large number of AD clinical trials have failed despite significant advances in scientific understanding of the disease. The fact that over 400 trials testing over 200 therapeutics have been performed to date with a 99.6% failure rate (i.e., a success rate of only 0.4%) clearly illustrates the importance of the issue [2, 91]. In Tables 2–4, we highlight the late stage clinical trials, some of which are still ongoing, using various disease modifying and symptomatic approaches. An overview of recent clinical trial reports indicates that potential flaws include overall clinical trial design with utilized statistical measures that are perhaps not aligned with the studies’ objectives, heterogeneity of patient populations due to deficient inclusion criteria, and difficulties in diagnosing early disease for both treatment and placebo groups. Other flaws include single target mechanism, drug bioavailability, genetic making, and toxicity from chronic administration, which alone or in combination may have contributed to recent failures. These potential shortcomings are explored in detail below.
Study design
Most studies to date were performed in mild and moderate AD patients, with neuronal damage already present to a considerable extent. At this stage, the disease progression path and rate are uncertain and show individual variability in part due to variability in dementia rating and patient populations [92, 93]. In mild and moderate AD patient populations, it becomes apparent that the use of amyloid and tau modulation agents to inhibit generation and/or increase clearance may not compensate for the neuronal damage that is already present, thus challenging the clinical trial’s odds of success. Some published results show no or very slow cognitive decline in their placebo group, strongly suggesting a failure in clinical trial design [2]. Other trials have suffered from lack of sensitivity of standard measures of cognitive performance (i.e., CDR-SB) at early and prodromal stages of the disease [93, 94].
In addition, the widely used CDR-SB scale, while clinically meaningful, was not designed to be used in traditional statistical analysis of efficacy of treatment. Because the evaluation is subjective, additional variability may be introduced in multicenter trials, further hampering success. When used as a measure of disease progression in the evaluation of the primary endpoints, unequal size of the change between stabilization and/or improvement in the treatment group (a small change of a few points in this population) as compared to disease progression in the placebo group (a larger change). Since the typical annual change in CDR-SB reported for early AD patients is between 1-2 points [95, 96], the changes are small and require large number of subjects to reach statistical significance, even in cases when the drug is clinically effective in stabilizing cognitive decline.
As mentioned previously, to overcome the issues with measuring cognitive change early in AD progression, Phase II a clinical trial of BAN2401 used the combination measures, ADCOMS, which at 18 months showed statistically significant changes compared to placebo. However, the changes in CDR-SB were not statistically significant, which could be, in part, attributed to the selected patient population and disease staging in the trial. In prevention trials, the time to diagnosis of dementia has been used as an endpoint and it is likely to show similar large variability. Further, multiple trials have attempted to conduct subgroup analysis after failures to report a clinical benefit. These attempts have been criticized to provide inaccurate information as subgroups are often not properly randomized and do not have significant sample size [91].
Patient population
The majority of clinical trials conducted to date included patients aged from 50 to 90 years old, leading to large variability in the cognitive impairment and disease progression. Thus, heterogeneous mild to moderate AD patient populations require a large number of subjects to accommodate for age, gender, disease stage, genetic predisposition, dementia type (such as Lewy body, senile and vascular, alcohol abuse, injury, or a result of other diseases) and inevitably lead to obscuring observed treatment effects and to failure to show clinical efficacy. The need to identify homogeneous patient populations at risk of developing AD brain pathology requires the use of imaging, CSF, and blood for disease staging, in addition to cognition and functional measures.
Bioavailability and toxicity from chronic administration
It has been noted previously that many drugs in development suffer from inadequate brain bioavailability and appropriate dose selection to show clinical benefit due to toxicity from chronic administration [91]. This is true for small molecules that may be transported from the central nervous system, even after crossing the BBB to target enzyme inhibition or a biochemical pathway, and it is particularly important for large molecules, such as monoclonal antibodies and other biologic drugs. Data on clinical trials that failed due to toxicity issues are shown in Table 4 (drugs targeting inflammation) and Table 5 (drugs targeting Aβ [73, 97–102]) and illustrate the problem in development of disease modifying treatments. While the clinical development of most of these drugs was halted before reaching Phase III, some drugs (such as Bapineuzumab, Azeliragon, Verubecestat) advanced into Phase III with doses that were not sufficient to show benefit in cognitive function. The Atabecestat Phase II/III trial was recently discontinued due to issues with liver toxicity. Similarly, a number of anti-inflammatory agents (Table 4) failed due to increased risk of adverse events with chronic administration. The need to administer the treatment frequently for several years, with high risk of systemic toxicity, requires that an adequate dose is selected early in the drug development phase [91].
Discontinued clinical trails targeting Aβ: Adverse events and toxicity
Intervention is too late for disease modifying agents
Consistent with the observation that Aβ deposits in the brain start to accumulate years before cognitive symptoms appear [22], the clinical results from trials in mild to moderate AD patients, which attempt to modulate Aβ production and clearance, indicate that removing plaques will not reverse the neuronal damage or stop the AD. This limits the treatment targeting Aβ production and clearance to be effective only at early stages of the disease. Limiting Aβ production and aggregation may have limited benefit in mild to moderate AD. Similarly, stage-dependent efficacy of anti-inflammatory agents, suggests that these treatments may be useful early in AD [90, 103]. It is hypothesized, that once Aβ-induced inflammation initiates tauopathy, neurodegeneration progresses and leads to cognitive decline.
Biomarkers
The need to focus interventions on a homogeneous patient population at an appropriate disease stage, as well as the need to diagnose the disease before cognitive symptoms occur, has led to a renewed focus on identifying and validating biomarkers, including structural MRI signs of hippocampal and global brain atrophy, CSF, and blood analysis biomarkers as well as the usage of PET imaging agents. The ability to diagnose the disease at earlier stages while preserving normal brain function would significantly contribute to the potential to develop disease-modifying therapies. So far, no biomarker proposed for early diagnosis and monitoring treatments has been validated.
Currently, the most widely used CSF biomarkers, obtained through lumbar puncture, include those targeting amyloid-β (Aβ42 or Aβ42/Aβ40), total tau protein (T-tau) and phosphorylated tau (P-tau181) [104]. It has been shown that CSF Aβ42 is an indicator of early stages of the disease, while CSF tau indicates the extent of cognitive decline at later stages [23, 24]. CSF and blood levels of neurofilament light chain protein have been shown to correlate well with neurodegeneration.
The use of CSF biomarkers in research and clinical trials, in addition to clinical criteria is detailed in the revised diagnostic criteria of AD [24, 105], suggesting the use of CSF biomarkers in differentiating between AD and other types of dementia. The utility of neuro-inflammatory biomarkers collected from blood, may have limited use when patients are suffering from additional systemic inflammation. Burchell and Panegyres reviewed several other biomarkers and assays including those involving BBB integrity, mitochondrial DNA, vascular endothelial growth factor, as well as immunological factors involved in AD pathogenesis [106]. However, these are still in early development and have not been validated.
With the renewed interest in targeting multiple disease hallmarks, inclusion of other exploratory biomarkers in clinical trials may be a critical component of advancing the understanding of the role of neuroinflammation in AD and developing additional tools for early diagnosis and follow up of disease progression. The correlation of multiple indicators with disease progression, that may help to design improved patient selection related to brain pathophysiology in the future.
Several imaging techniques, including structural magnetic resonance imaging (MRI) and 18F-fluorodeoxyglucose (FDG) are commonly used in clinical research to assist in early diagnosis. There has been significant development in the PET imaging tracers binding to Aβ with the approval of Amyvid (18F-florbetapir), Vizamyl (18F-flutametamol), and Neuraceq (18F-florbetaben).
Similarly, recent results suggest that buildup of tau pathology could better predict future cognitive impairment than Aβ, and subsequently driving research toward new tau imaging agents. For example, increased flortaucipir binding has been shown to correlate with increased cognitive impairment in patients with Aβ plaque [107]. Other tau imaging tracers, including 18F- PI-2620 are currently in clinical testing.
While early clinical trials rarely used imaging and CSF biomarkers, recent clinical work includes more frequent use of PET imaging and CSF biomarkers, either as a secondary outcome measure and/or as inclusion criteria. However, in most of these studies, biomarkers are used in sub-studies with a much smaller number of subjects (i.e., clinical trials for Verubecestat, Lanabecestat, Bapineuzumab, Gantenerumab, and Semagacestat).
Genetic testing is particularly useful in identifying individuals at risk of developing AD and has gained momentum with the number of prevention trials. Some of the genetic testing targets genes with rare variations that cause inherited AD or those that are associated with increased risk of developing AD, such as
New biomarkers and imaging agents as well as potentially combinations of biomarkers, that target specific AD pathology in asymptomatic patients at risk of developing AD, could potentially assist in identifying homogeneous patient populations and provide additional tools for monitoring efficacy of clinical trials.
Combination treatments
Experience to date points to the fact that AD is multi-target disease, and that approaches using one drug, focused on one target may not be sufficient to achieve improvement of clinical symptoms [55].
Azeliragon, a small-molecule RAGE inhibitor, has been thought to provide a combined treatment by lowering Aβ plaque deposition and inducing anti-inflammatory response, but it failed to reach efficacy endpoints in Phase III [41]. Other treatments proposed to mediate amyloid beta clearance and provide anti-inflammatory properties either failed later stage testing due to poor efficacy (e.g., GM-CSF Leukine, Intravenous immunoglobulin) or are still in ongoing clinical trials (e.g., Pioglitazone, GC 021109, GRF6019).
Other approaches targeting both Aβ accumulation and inflammation associated with AD may be needed to slow disease progression before symptoms occur.
CONCLUSIONS AND RECOMMENDATIONS
The number of clinical trials focused on early, mild, and moderate AD that did not achieve primary endpoints and failed to achieve cognitive improvement keeps growing. We believe that the scientific rationale behind all potential AD therapies tested is valid and supported by
To address multiple parameters affecting complex AD clinical trial design, we highlight some recommendations and potential new approaches.
Experience to date shows that clinical trial design and outcome measures have to be adjusted to allow monitoring of disease progression in the pre-symptomatic stage of AD with sufficient minimum clinically important differences. To eliminate other factors that were associated with failure, clinical trials should include in the study design adequate outcome measures and endpoint selections (see Early Alzheimer’s Disease: Developing Drugs for Treatment-Guidance for Industry). The challenge remains to devise methods to reliably identify patients with preclinical AD and to ensure that the methods have predictive value. As the duration, complexity, and cost of clinical trials increase, the clinical research would benefit from introducing appropriate interim analyses and adaptive clinical trial designs.
The need to eliminate heterogeneity of patient population, and especially to identify homogeneous patient populations at risk of developing AD will require the use of imaging, CSF, and blood biomarkers for disease staging, in addition to cognitive and functional measures. It will be necessary to minimize variations due to age (i.e., limit the age spread of the study population to patients between 55 to 70, to avoid younger patients that are far from AD onset and older patients who show faster AD progression), define proper cutoffs for cognitive performance (done in most cases with varying rationale, mainly based on published data), and limit the use of concomitant AD medication that affects brain function (such as strong antipsychotic drugs) at entry. Limiting the use of approved medications (i.e., for a period of more than six months or a year) during the trial, unless the test drug is an adjuvant therapy, should also contribute to smaller variation in cognitive performance during the trial. In addition, it will be necessary to reflect underlying AD pathology when selecting patient population using validated CSF and/or blood biomarkers as well as proper imaging techniques with adequate ranges for the targeted disease stage.
Because the treatment is expected to last many years, systemic toxicity is an expected outcome with aggressive therapies at high doses. To address this concern, new preclinical methods need to be explored to adequately evaluate potential
AD is a neurodegenerative aging-related disease with no known cure, and neuronal damage cannot be fully reversed even if the mechanisms underlying disease progression are targeted. As a strategy, the goal of AD treatment should be slowing down neural degeneration. Therefore, early treatment options, before the symptoms of AD occur, appear to be the most viable current approach. However, early diagnosis of AD, before cognitive symptoms occur, is still a challenge, because of the lack of appropriate biomarkers and diagnostic criteria for this pre-symptomatic stage of AD. As the focus of current research moves toward prevention trials, the aim of intervention becomes delaying the symptoms and slowing down progression of the disease, especially in subjects who are potentially vulnerable to early disease onset, due to genetic profile, environmental conditions associated with lifestyle, and other contributing diseases.
It is clear that new approaches to treatment of AD will require the identification and validation of new targets and will need to target multiple mechanisms of action that may slow disease progression, when used before clinical symptoms appear (Fig. 1). In addition, performance of drugs that showed limited efficacy and failed to achieve statistical significance when used as a single treatment, may be improved by exploring their combination with anti-inflammatory mechanisms of action. As an example, Solanezumab, an Aβ removal antibody with some degree of success in clinical studies, could be combined with low dose anti-inflammatory agent, a mast cell stabilizer as part of innate immune system, or with an inhibitor of amyloid peptide oligomerization and polymerization.
Identifying a suitable pool of asymptomatic patients and following the rate of progression of the disease is likely to require the use of multiple biomarkers in addition to effective cognition and function measures. Thus, the development and validation of new CSF and blood biomarkers, as well as highly specific PET agents, becomes critical for future clinical research. To ensure sufficient brain bioavailability, brain or CSF drug uptake should be evaluated in the CSF and blood by labeled molecules or their close analogs using biodistribution and pharmacokinetics studies in experimental animals or by brain imaging in humans. This approach should provide proof of bioavailability and has potential to increase success of clinical studies and to reduce the cost and waste of resources associated with unsuccessful clinical trials.
Proposed selection of homogeneous patient population, with narrow age range and with early stages of the disease, as well as the use of CSF and blood biomarkers in addition to stricter cognition and functional measures, would likely increase the number of screening failures resulting in higher recruitment cost and prolong duration of the trials. To address these issues, we recommend the use of adaptive and interim analyses, per FDA guidelines, and additional measures of clinical utility of the treatment. Cognitive and functional performance scales (such as CDR-SB), are fairly acceptable scales recommended by the FDA (see Early Alzheimer’s Disease: Developing Drugs for Treatment-Guidance for Industry). While useful in diagnosis and staging of the disease, they have limited value as a measure of disease progression. The CDR-SB scale (as well as other cognition and function tests) was not designed to be used in traditional statistical analysis of efficacy of treatment. The evaluation of the primary endpoints using CDR-SB mean change from baseline in early AD may potentially be challenged by the unequal size of the change between stabilization and improvement (a small change of a few points in this population) as compared to disease progression (a larger change). Due to these potential challenges, we believe that an exploratory responder analysis may alleviate the issues and provide additional information on the efficacy of clinical trials.
Adding CDR-SB analysis at the end of a study for determining response to drug treatment (stable or improvement; responder or non-responder) may be an additional useful tool as an efficacy measure. Adaptive and interim analyses, per FDA guidelines, as well as, exploring responder analysis in the interim and final analysis, should be considered. Additionally, validated biomarkers may provide more accurate correlation with the progression of the disease, especially when used in combination with cognitive and functional outcomes.
Advances in understanding the role of the brain’s innate immune system in the development of AD, and specifically its genetic regulation, have potential to open new therapeutic solutions. Experience to date points out that AD is a multi-target disease, and that approaches using one drug, focused on one target may not be sufficient to achieve improvement of clinical symptoms. Combination treatments with multiple targets may potentially lead to effective therapies.
