Literature DB >> 31994640

Early diagnosis and treatment of Alzheimer's disease: new definitions and challenges.

Marcos Pais1, Luana Martinez1, Octávio Ribeiro1, Júlia Loureiro1, Romel Fernandez1, Leandro Valiengo1, Paulo Canineu1, Florindo Stella1, Leda Talib1, Marcia Radanovic1, Orestes V Forlenza1.   

Abstract

The prevalence of Alzheimer's disease (AD), a progressive neurodegenerative disorder, is expected to more than double by 2050. Studies on the pathophysiology of AD have been changing our understanding of this disorder and setting a new scenario for drug development and other therapies. Concepts like the "amyloid cascade" and the "continuum of AD," discussed in this article, are now well established. From updated classifications and recommendations to advances in biomarkers of AD, we aim to critically assess the literature on AD, addressing new definitions and challenges that emerged from recent studies on the subject. Updates on the status of major clinical trials are also given, and future perspectives are discussed.

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Year:  2020        PMID: 31994640      PMCID: PMC7430379          DOI: 10.1590/1516-4446-2019-0735

Source DB:  PubMed          Journal:  Braz J Psychiatry        ISSN: 1516-4446            Impact factor:   2.697


Background

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder with high epidemiological relevance and significant social impact. The number of cases of dementia is expected to increase two- to three-fold by the year 2050, the majority of them caused by AD.1-3 In Latin America, as in other low-income regions, the challenge faced is not only the increasing number of people with dementia, but also the lack of investment in training of health professionals and epidemiologic research, which reinforces chronic barriers regarding resources, culture, and stigmas.4,5 Alois Alzheimer first described a syndrome of progressive dementia and identified the neuropathological changes associated with its clinical presentation in 1906, publishing his findings in the following year.6,7 These neuropathological changes are extracellular amyloid plaques formed by amyloid-β (Aβ) peptide deposits, derived from the cleavage of amyloid precursor protein (APP), and intracellular neurofibrillary tangles (NFT) composed of tau protein (microtubule-associated protein).8 The body of knowledge produced on the subject since then has led to significant advances. Genetics was a leading front of many discoveries that helped researchers better understand AD. Autosomal dominant mutations in three genes – the APP gene, presenilin 1 (PSEN1), and presenilin 2 (PSEN2) – cause the presenile form or early-onset AD (before age 65). The senile form of the disease, or late-onset AD, is more common, and the crucial susceptibility allele in this form involves apolipoprotein E4 (ApoEɛ4); homozygosity causes an eight-fold increase in the risk of developing AD.9,10 A significant shift in the study of dementia occurred in 1976, when Robert Katzman showed that the senile and presenile forms of AD were histopathologically identical.11 Since then, studies on the pathophysiology of presenile AD have contributed to our understanding of the senile form. The two AD presentations together represent the sixth leading cause of death in the United States alone.3 The diagnosis of AD is still based on clinical findings. However, there is a growing understanding that biomarkers could play an important role. Expert consensus on the topic has recognized that identification of the pathogenic process of AD through laboratory tests of blood-based and cerebrospinal fluid (CSF) biomarkers or molecular imaging methods makes it possible to infer the etiology of the underlying disease.12 The role of biomarkers also differs somewhat at each of the disease stages, establishing the pathological alterations of AD in the preclinical stage and as complementary resources to clinical assessment at the mild cognitive impairment (MCI) and dementia stages.13 Biomarkers will be particularly important for the diagnosis of AD in the early stages due to oligosymptomatic clinical presentations or absence of symptoms in cognitively healthy subjects that might benefit from disease-modifying interventions when these become available. The current generation of AD biomarkers cannot be considered robust when compared with the biomarkers used in other areas of medicine. Nevertheless, research on biomarkers has dramatically increased the accuracy with which AD pathology can be detected in the brain. Recent dementia recommendations stress the importance of biomarker approaches, together with systematic and exhaustive clinical and cognitive investigations.5 In contrast, success in the development of drugs to treat AD has not yet been achieved. All approved drugs are symptomatic, with no consistent evidence that any is able to affect disease progression.14-16 Recently, we have witnessed the failure of almost all anti-amyloid clinical trials. This research line was based on the premise that the removal of Aβ peptide deposits from brain tissue should provide benefits in the cognition and functional capacity of patients with clinical symptoms of AD.17-19 It is clear now that most clinical trials have been testing potential disease-modifying therapeutic agents too late in the pathophysiological course of AD.20,21 The next strategies to achieve success should focus on even earlier interventions and other targets.

New definitions

After the establishment of a research workgroup, the first criteria for the clinical diagnosis of AD were defined in 1984.13,22 Interestingly, Aβ peptide was first identified in brain amyloid plaque in the same year.23 Although considerable advances in AD research have been made since, the 1984 criteria were largely used without any modification for over 25 years; only in 2011 were they revised. The National Institute on Aging (NIA) and the Alzheimer’s Association (AA) workgroups presented recommendations for the diagnosis of AD defining separate entities (and separate guidelines) to characterize the stages of AD: preclinical AD, MCI, and dementia.13 The neurobiological changes of AD start long before the onset of the first symptoms.24-26 The transition between healthy cognitive aging and the earliest manifestations of dementia has been an area of major interest. Petersen et al. established the characterization of the early stages of AD in the late 1990s, as the first to introduce the concept of MCI and use the current diagnostic framework.27,28 Defining the initial points of each step of the clinical deterioration process is challenging. In this characterization, MCI was considered a stage that precedes the impairment of capacity to perform the activities of daily living.29 The importance of this stage lies in the growing understanding of a continuum of AD, which ranges from a very oligosymptomatic phase to the full-blown dementia syndrome.30,31 Preclinical AD, in turn, is the long, silent stage of the disease which precedes MCI.32 Criteria for preclinical AD were developed to identify at-risk individuals at a stage when they were still asymptomatic, at which time interventions could delay or ultimately prevent the onset of cognitive impairment and dementia.13,21,33 This classification integrated the existing knowledge on preclinical AD and consolidated the concept, defining three stages: stage 1, when Aβ accumulation occurs; stage 2, with cerebral amyloidosis co-occurring with evidence of neurodegeneration; and stage 3, with both amyloidosis and neurodegeneration occurring with evidence of very subtle cognitive decline that does not yet meet the criteria for MCI.13

The A/T/N classification

Many advances in the characterization of AD biomarkers have been made since 2011. In 2018, Jack et al. proposed an update of the 2011 NIA-AA guidelines unifying the three entities, and created recommendations for the diagnosis of AD grounded on a biomarker-based definition.34 Known as the A/T/N classification – A (amyloid biomarkers), T (tau biomarkers), and N (biomarkers of neurodegeneration or neuronal injury) –, this system uses biomarkers to support the diagnosis of AD in research settings. This new classification system groups all key AD biomarkers by the pathologic process each one represents, rated as positive or negative. These recommendations create a common language with which researchers can characterize the pathological changes seen in research subjects diagnosed with AD and facilitate subject selection for interventional trials. It is noteworthy that this framework proposed for research purposes should raise the importance of biomarker assessment in clinical settings. In low-income countries, the demand for affordable assessment creates a challenge for implementation of the latest advances in clinical practice, and simultaneously increases the need for development of more accessible technology, such as plasma biomarkers.

Advances in biomarker studies

The main roles of biomarkers in clinical practice are to support early identification of patients with AD, to monitor therapeutic response, and to aid in differential diagnosis.20,21,34 Box 1 summarizes the contribution of biomarkers in clinical and research settings.35,36

Box 1 Role of biomarkers in clinical and research settings

Diagnosis (clinical settings, subject selection for clinical trials).
Assess disease state, staging, and prognosis.
Assess and monitor the pharmacodynamic effects of candidate compounds.
Demonstrate target engagement.
Aid in dose selection/optimization.
Assess response to and efficacy of therapies.
Identify and mitigate toxicity and adverse effects.
Personalize interventions according to stage and patient characteristics (personalized medicine approach).

The neuropathological signature of AD in CSF

The three core CSF biomarkers of AD are Aβ peptide, total tau protein (T-tau), and phosphorylated tau (P-tau) protein. Although these biomarkers have been studied for more than two decades, only recently has the pathological signature of AD been elucidated. This signature consists of reduced concentrations of the 42 amino acid Aβ peptide (Aβ1-42) combined with increased concentrations of T-tau and of the serine residue 181 of P-tau (181P-Tau).37-39 Most clinical trials use scales of cognitive enhancement as an endpoint. As noted above, these are not robust enough when compared with biochemical or physiological measures. The use of pharmacodynamic endpoints, such as the AD signature or individual concentrations of Aβ in the CSF, is an alternative for assessing compounds that inhibit enzymes that generate Aβ.10 However, there is variability in measurements among clinical laboratories, and the lack of standardization makes it difficult to determine valid cutoff values.40,41 Genetic mutations associated with AD cause neuropathological changes in the following order: increased Aβ1-42, brain amyloidosis, tauopathy, brain atrophy, and decreased glucose metabolism.42 At least one biomarker has been established for each of these core pathological features. Using the A/T/N system, the principal biomarkers can be divided into three categories: biomarkers of Aβ metabolism and accumulation, biomarkers of tau pathology, and biomarkers of neurodegeneration or neuronal injury.34 These biomarkers are validated and widely used. In the first category are CSF levels of Aβ1-42 and molecular amyloid imaging, such as Pittsburgh compound-B ([11C]-PIB) positron emission tomography (PET), florbetapir (18F) PET, and flutemetabol (18F) PET, which confirm cerebral retention of Aβ. The second category includes elevated CSF levels of 181P-tau and molecular tau imaging, such as flortaucipir (18F) PET. The last category includes decreased fluorodeoxyglucose (FDG) uptake on PET in a specific topographic pattern involving the temporoparietal cortex, mesial temporal, and parietal regions on structural magnetic resonance imaging (MRI), and increased T-tau in CSF.20,34 Recent developments in CSF and imaging biomarkers are promising for early diagnosis of AD, but their availability is still limited to research settings.

Biomarkers of amyloid accumulation

The amyloid-related or molecular biomarkers of AD are CSF Aβ1−42 and amyloid PET. Low Aβ1-42 reflects brain amyloid deposition and shows very high concordance with amyloid PET. This pathological change is found in AD and prodromal AD with a sensitivity exceeding 90%.18 The most widely used amyloid imaging agent is [11C]-PiB. It binds to Aβ aggregates with high affinity, and is capable of differentiating individuals with AD from those with normal cognition. Researchers found comparable sensitivity of CSF Aβ1-42 levels and PiB PET for the detection of AD pathology.43

Biomarkers of tau pathology and neuronal degeneration

P-tau levels in CSF are taken to represent the presence of tau pathology, including NFT, while CSF T-tau more likely represents neuronal injury or neurodegeneration and reflects disease progression. High levels of P-tau do not occur in other dementias.41,44 Aβ precedes tau pathology but, unlike amyloid deposition, NFT correlates better with cognitive decline. Even ApoEɛ4 status correlates with different patterns of tau deposition.43,45 Additionally, measurements of tau deposition in specific regions are more closely related to early degeneration, atrophy measures, and cognitive decline46,47; hence, the importance of developing tau-specific tracers for imaging studies. Although the accuracy and reliability of the technique are still under investigation, the development of tau tracers started almost two decades ago,48 with flortaucipir (18F) being the most studied.49 MRI and FDG-PET are well-established imaging techniques for AD diagnosis and follow-up. FDG-PET measures glucose uptake in neurons and glial cells and is sensitive to synaptic dysfunction. The typical pattern of altered FDG-PET in AD is a temporoparietal and posterior cingulate hypometabolism.50 Changes in MRI are seen later in the disease process. Cerebral atrophy is believed to spread from within the mesial temporal lobe (MTL), with changes in hippocampal volume and entorhinal cortex thickness, to the parietal, occipital, and frontal lobes over the years; individuals with MCI show the highest rates of atrophy.43

Plasma biomarkers of AD

Advances in the area of blood-based AD biomarkers are of the utmost importance. Developing blood biomarkers would increase screening possibilities, adding a much more accessible tool to clinical diagnosis. Plasma examination would allow more frequent sampling in clinical trials and other studies, and would minimize the necessity of lumbar puncture, given its invasive nature. Prescreening with blood biomarkers would also lower the costs of further workup, avoiding unnecessary amyloid PET scans. Candidate blood biomarkers include plasma levels of Aβ, tau protein, and neurofilament light (NFL) chain protein. Assessing these biomarkers can provide sufficiently reliable estimates of brain amyloid positivity and neurodegeneration,35,41,51 and the use of fully automated immunoassays to measure them can add great accuracy to the detection of their plasma levels.52 Just as for CSF Aβ, there are still no worldwide unified cutoff values established for plasma Aβ. Nevertheless, there is a reliable correlation between amyloid status in plasma as measured by the Aβ1-42/1-40 ratio and future positivity on amyloid PET.53 A recent study with a representative number of subjects (n=842) revealed high accuracy in the detection of altered Aβ levels in the brain, correlating with plasma levels of Aβ1-42 and Aβ1-40; adding APOE genotype, plasma tau, and NFL levels further increased accuracy.52 Optimized blood Aβ assessment with fully automated immunoassays may improve screening capacity for clinical trials. Although present in other disorders, tau has been reported to be elevated in the plasma of individuals with AD, with the 181P-tau form showing higher specificity.35,54 Recent studies have reported promising results of serum and plasma measurement of NFL chain protein. NFL is the light subunit of neurofilament, the dominant axonal cytoskeleton protein.55 The presence of NFL chain protein in the CSF indicates axonal damage. Recent studies showed a positive correlation between serum/plasma levels of NFL chain protein and CSF levels, with accuracy comparable to that of CSF biomarkers, but only for neurodegeneration.56 These correlations have raised interest in NFL as a blood-based biomarker of neurodegeneration and disease progression. A recent meta-analysis showed that NFL chain protein levels both in CSF and in plasma had high diagnostic sensitivity for AD and other neurodegenerative dementias.57 A cross-sectional, longitudinal data analysis of the Dominantly Inherited Alzheimer Network (DIAN) cohort found that CSF levels of NFL were significantly increased in mutation carriers compared to non-carriers at an estimated 6.8 years before symptom onset. Subsequent longitudinal analyses confirmed the cross-sectional findings. These changes are sensitive enough to pick up early regional brain atrophy and to predict conversion to symptomatic AD. It is noteworthy that serial NFL measurements are a better tool than absolute NFL levels measured in a cross-sectional fashion.58 Other approaches using genomics, transcriptomics, metabolomics, lipidomics, and proteomics have been used to generate different AD biomarkers. One study showed that altered microRNAs resulting from the failure of synaptic function are potential plasma biomarkers of AD.59 Another study comparing AD patients with healthy controls showed decreased platelet levels of one member of the a disintegrin and metalloproteinase (ADAM) family: ADAM10, the primary α-secretase of APP, which plays an important role in reducing generation of Aβ peptide. The same study showed decreased presenilin levels in platelets and leukocytes. Presenilin is the catalytic site of γ-secretase, one enzyme in the reaction that generates Aβ peptide. Levels of the β-site APP-cleaving enzyme 1 (BACE1), also known as β-secretase, were also decreased in leukocytes and presented no differences in platelets.60

Treatment

Pharmacotherapeutic approaches to AD can be divided into two categories: symptomatic and disease-modifying therapies (DMTs). Symptomatic treatments have a significant impact not only on cognition, but also in symptoms such as agitation, psychosis, and sleep disturbance, which are present in up to 90% of patients with dementia.61 The search for DMTs has focused mainly on interventions based on the amyloid cascade hypothesis and tau biology.10 It is still unknown which, amyloid or tau, is the best drug target. However, Aβ accumulation was the main target of most drugs tested for AD in the past 20 years.19 A combination of therapies targeting both amyloid and tau may represent a promising alternative.

The amyloid cascade hypothesis

The deposition of Aβ peptide in neuritic plaques induces the neurotoxic events which are followed by NFT formation, resulting in cell loss and vascular damage.62 This sequence constitutes the amyloid cascade hypothesis, formally proposed in 1992.63 Many studies have suggested that the amyloid pathway is a very early event in the disease, starting in the hippocampus and entorhinal cortex.19,63-66 The amyloid cascade is still a widely accepted model. However, the recent failure of anti-amyloid therapies has been calling the temporal sequence of pathological events in AD into question. Indeed, some evidence has defied the notion that amyloidosis is necessary to define AD.67 Focusing on this single target could explain failures in clinical trials, as a significant number of studies show conflicting neuropathological findings,68 suggesting that biomarker development in preclinical or prodromal AD does not follow the timeline proposed by the amyloid cascade hypothesis. Additionally, researchers have reported that 14 to 25% of individuals clinically diagnosed with mild to moderate AD have only sparse neuritic amyloid plaques on postmortem examination.69-71 In contrast, a group of researchers still defines the neuropathological entity of AD necessarily by the presence of pathologic amyloid, supporting a central role of the amyloid cascade hypothesis. The definition of AD would require a signature that involves amyloid abnormalities alone (Alzheimer’s pathologic change) or in combination with pathologic tau (AD).34 These definitions would represent stages of the AD continuum, not separate entities. The need for uniform criteria to guide therapeutic trials makes these conflicting findings an obstacle to recruiting subjects, as the clinical diagnosis may not be accompanied by the expected neuropathological changes, resulting in failure of interventions. The A/T/N classification should represent a solution, since AD stages can be classified by their different neuropathological alterations without risk of overlap. This controversy also raises questions on how non-AD diagnoses can be suspected. The classic clinical syndrome of AD, i.e., amnestic cognitive impairment, has been associated with multiple neuropathological changes. Some non-AD entities may mimic this clinical syndrome, including primary age-related tauopathy (PART), suspected non-Alzheimer pathology (SNAP), and, especially, limbic-predominant age-related TDP-43 encephalopathy (LATE). LATE is a proteinopathy preferably affecting limbic brain structures commonly observed in the oldest old individuals (past 80 years of age).72 Other autopsy studies have shown that 10 to 30% of patients clinically diagnosed with AD have no neuropathological changes.73 One particular study found 47% specificity and 61% accuracy in the clinical diagnosis of AD compared with neuropathological diagnosis; some of the neuropathological findings actually represented TDP-43 proteinopathies.74

Symptomatic treatment

Neuropsychiatric symptoms (NPS) are a key clinical feature of AD and may appear in all stages.61,75 In the preclinical stage, these symptoms may represent an increased risk of progression to dementia.76 During the MCI stage, the syndrome of NPS is called mild behavioral impairment (MBI).77 Psychotropic drugs for the treatment of behavioral and psychological symptoms of dementia (BPSD) are generally prescribed, following guidelines and clinical experience in the treatment of primary psychiatric disorders.75 Treating BPSD is a very complex task, as there is insufficient evidence on the neurobiological mechanisms of many of the behavioral syndromes seen in clinical practice. Therapeutic alternatives are restricted; however, a combination of non-pharmacological interventions and safe pharmacological options remains the best therapeutic approach.78

Acetylcholinesterase (AChE) inhibitors

The cholinergic system is implicated in cognition. Diminished cholinergic synaptic activity caused by reduction in the activity of choline acetyltransferase, an enzyme responsible for acetylcholine synthesis in the nucleus basalis of Meynert, is the basis for the use of AChE inhibitors.68,79 These medications inhibit the catabolic enzyme AChE, delaying the decrease of acetylcholine levels, and, when used alone, are recommended for the treatment of patients with mild to moderate AD.2 Three AChE inhibitors are available for AD treatment: donepezil, galantamine, and rivastigmine. Rivastigmine has a transdermal patch presentation with evidence of impact on treatment adherence.80 When used in combination with the uncompetitive glutamatergic receptor antagonist memantine, these medications are also used to treat severe stages of the disease.2,19 The failure of AChE inhibitors to delay the onset of AD from MCI in some studies14-16 has given rise to the question of whether these drugs are capable of disease modification, with little evidence of significant impact on the disease course. Although possible benefits were found in subsamples of patients (such as ApoEɛ4 carriers)14 and on AD-like neuropsychiatric symptoms at baseline,15 the long-term benefits of these drugs are arguable. One study from our group showed that long-term treatment with donepezil was associated with a significant reduction in BACE1 expression in the platelets of patients with AD,81 pointing to a possible disease-modifying effect of AChE inhibitors.

Disease-modifying therapies

Disease-modification in AD requires accurate diagnosis at the pre-dementia and preclinical stages, justifying the need to understand critical aspects of the neuropathological changes of AD.82 How Aβ peptides (soluble, oligomeric, or plaque) lead to cell death, how tau tangles affect neuronal function, the relationship between Aβ and tau tangles, and the apparent interneuronal spread of tau are gray areas in research that need to be addressed. Developing DMTs might then be able to attenuate decline and preserve cognitive and functional capacity. In parallel, researchers should tackle not only AD pathogenesis, but also its risk factors (discussed below). During the last decade, research has identified many candidate molecular targets for earlier, more specific AD therapies. In the amyloid cascade, the main targets are the senile or neuritic plaques and fibrillary Aβ or Aβ oligomers at the pre-dementia and dementia stages. In preclinical AD, preventing Aβ accumulation would be the main objective, with overproduction of Aβ, abnormal APP metabolism, and reduced Aβ clearance being the targets of intervention. In cytoskeletal degeneration, i.e., tau pathology, NFTs would be the primary target. However, upstream alterations responsible for NFT formation would be better targets at earlier stages. Finally, other mechanisms that lead to secondary toxicity include inflammation, oxidative stress, glial activation, among others.83 Molecular targets in this respect, besides the Aβ peptide, include BACE, tau protein, markers of inflammation, and even the 5-HT2A receptor.10,18,84,85 Drug development for AD has consistently shown a high failure rate.10 In 2014, Cummings et al. examined 413 AD trials testing 244 drugs carried out between 2002 and 2012. Almost all clinical trials failed, with the exception being the successful completion of the memantine trial.86 At the beginning of 2019, 28 agents were being studied in 42 phase III trials; 17 of them were DMTs.18 Nonetheless, there are still no new DMTs available for AD. Table 1 shows a summary of an annual update on AD drug development. Clinical trials with the purpose of disease modification, cognitive enhancement, and control of NPS are included.18
Table 1

2019 update on drug development

Trials156
Agents tested132
Main primary mechanisms of action and objectives of trials
Cognitive enhancement19 (14)
Treatment of NPS and BPSD14 (11)
Disease modification96 (73)
Main primary targets
Amyloid38 (40)
Tau17 (18)
Types of agents
Disease-modifying biologics
Disease-modifying small molecules
Symptomatic (system-reducing small molecules)

Data presented as n or n (%).

BPSD = behavioral and psychological symptoms of dementia; NPS = neuropsychiatric symptoms.

Several high-profile phase III clinical trials recently failed to explore the amyloid cascade hypothesis. Although preliminary results were promising, these clinical trials failed to demonstrate cognitive enhancement or clinical improvement occurring together with the observed neuropathological changes.18 However, these trials showed positive results in drug-target engagement, with reported Aβ clearance from the brain.10,87

Amyloid-based therapies

Anti-amyloid immunotherapy

The amyloid cascade hypothesis of AD pathology implicates one possible pathway – the amyloidogenic pathway – in which APP is sequentially cleaved until the Aβ peptide is released, Aβ1-42 being the form most prone to aggregation and most neurotoxic.59,63,88 Schenk et al. first reported that immunization of PDAPP transgenic mice which overexpress mutant human APP prevented and reduced AD-like neuropathologies.89 The anti-amyloid compounds developed since then aim at clearing Aβ peptide from the brain parenchyma or reducing its aggregation.2 Active and passive immunotherapies have been tested over the years. The first compound tested, AN-1792, an Aβ antigen, failed to demonstrate efficacy in mild to moderate AD, and was also toxic. The trial was discontinued in 2002.90 These interventions represent secondary prevention actions, since the compounds were tested after the disease process had already begun. In general, immunotherapies targeting Aβ were well tolerated. Nevertheless, risks have been described with passive immunotherapies, including amyloid-related imaging abnormalities (ARIA) appearing as vasogenic edema (ARIA-E) or cerebral microhemorrhages (ARIA-H), which represent increased vascular permeability due to an immune-inflammatory response against vascular deposition of Aβ.91 Convergent findings suggest that therapeutic interventions targeting amyloid should be prophylactic, tested years before amyloid deposition. Ongoing clinical trials are focused on earlier stages of AD and asymptomatic at-risk subjects. The only ongoing active immunotherapy, CAD106, an anti-amyloid vaccine, is now in a phase III clinical trial (Generation S1) of a preventive paradigm.19 CAD106 stimulates a B-cell and carrier-induced T-cell helper response without activating an Aβ-specific T-cell response.92 Four passive immunotherapy agents, all anti-amyloid monoclonal antibodies, are now in development in phase III clinical trials of patients with early and preclinical AD and asymptomatic subjects at risk for AD.19 The antibody solanezumab, which binds to the central region of Aβ, with evidence of a preference for soluble monomeric Aβ,93 is being tested in a preventive paradigm. The Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease Study (A4) is testing solanezumab in asymptomatic or mildly symptomatic older adults with biomarker evidence of brain amyloid deposition,94 and the Dominantly Inherited Alzheimer Network – Trials Unit Study (DIAN-TU) is testing the compound in asymptomatic or mildly symptomatic carriers of autosomal dominant mutations in APP, PSEN1, or PSEN2.95 Crenezumab, a compound that binds to multiple species of Aβ (mostly fibrils and oligomers),96 is being evaluated in two phase III clinical trials enrolling patients with prodromal to mild AD: A Study of Crenezumab Versus Placebo to Evaluate the Efficacy and Safety in Participants With Prodromal to Mild Alzheimer's Disease (CREAD) and CREAD2, with expected completion in 2020 and 2021, respectively.19 Gantenerumab binds to both the N-terminal and central regions of Aβ, with higher affinity for oligomers and fibrils than for Aβ monomers.97 The aforementioned DIAN-TU study includes a gantenerumab arm, and two other phase III studies – Multicenter, Randomized, Double-Blind, Placebo-Controlled, Parallel-Group, Efficacy, and Safety Study of Gantenerumab in Patients with Early Alzheimer's Disease (GRADUATE 1) and GRADUATE 2 – are ongoing, both enrolling patients with early AD and biomarker evidence of brain Aβ deposition.19 Finally, aducanumab, an antibody that binds to soluble and insoluble Aβ and with a higher selectivity for monomers, was the first compound to show both a decrease in Aβ load in the brain and positive effects on cognition and global clinical status, although limitations from dropout rates occurred.98 Aducanumab was under investigation in two phase III clinical trials, ENGAGE and EMERGE, in patients with prodromal AD and positive amyloid PET scans99; however, in March 2019, the studies were discontinued based on the results of a futility analysis.100 Table 2 summarizes the remaining and active phase III clinical trials of immunotherapies for AD.
Table 2

Anti-amyloid active and passive immunotherapy compounds in phase III secondary prevention trials for AD, with status updated as of late 2019 (only active trials)

AgentMechanism of actionMild to moderate ADEarly, preclinical or prodromal
CAD106Active immunotherapy (Aβ antigen)One trial discontinued (no efficacy)One preclinical AD trial ongoing – Generation S1
SolanezumabPassive immunotherapy (anti-Aβ monoclonal antibody)Two trials discontinued (no efficacy)One prodromal AD trial discontinued (strategic) Two preclinical AD trials ongoing – A4 and DIAN-TU
CrenezumabPassive immunotherapy (anti-Aβ monoclonal antibody)One trial discontinued (no efficacy)Two preclinical AD trials ongoing – CREAD and CREAD2
GantenerumabPassive immunotherapy (anti-Aβ monoclonal antibody)One trial discontinued (no efficacy) One trial ongoingOne prodromal AD trial discontinued (no efficacy) Two early AD trials ongoing – GRADUATE 1 and GRADUATE 2 One preclinical AD trial ongoing – DIAN-TU
AducanumabPassive immunotherapy (anti-Aβ monoclonal antibody)No trials at these AD stagesTwo early AD trials discontinued (no efficacy in lower doses) – ENGAGE and EMERGE Reduced clinical decline with longer exposure to higher doses (results yet to be published)

A4 = Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease Study; AD = Alzheimer’s disease; Aβ = amyloid-β; CREAD = A Study of Crenezumab Versus Placebo to Evaluate the Efficacy and Safety in Participants with Prodromal to Mild Alzheimer's Disease; DIAN-TU = Dominantly Inherited Alzheimer Network – Trials Unit; ENGAGE and EMERGE = A Phase III, Multicenter, Randomized, Double-Blind, Placebo-Controlled, Parallel-Group, Efficacy, and Safety Study of Aducanumab in Patients with Early Alzheimer's Disease; Generation S1 = A Study of CAD106 and CNP520 Versus Placebo in Participants at Risk for the Onset of Clinical Symptoms of Alzheimer's Disease; GRADUATE = A Phase III, Multicenter, Randomized, Double-Blind, Placebo-Controlled, Parallel-Group, Efficacy, and Safety Study of Gantenerumab in Patients with Early Alzheimer's Disease.

BACE inhibitors

Defective BACE activity is involved in the accumulation of amyloid in the brain parenchyma.66,101 BACE inhibition would hypothetically decrease Aβ production. Some BACE inhibitors were tested in recent clinical trials, but failed to slow the progression of AD.19,85,102 Two phase II/III studies (Generation S1 and Generation S2) tested CNP520 (umibecestat), an oral, long-acting, selective BACE1 inhibitor. However, as of July 2019 (results yet to be published), they were discontinued due to worsening of cognitive measures, and side effects like weight loss.19 Although the strategy was unsuccessful, these clinical trials showed interesting changes in biomarkers, with reductions in concentrations of toxic Aβ species in the brain, CSF, and plasma.10 Only two phase III clinical trials testing BACE inhibitors in early AD are still active. Elenbecestat is currently being tested in two double-blind, placebo-controlled phase III studies (MISSION AD1 and MISSION AD2).

Tau-based therapies

Findings such as neurodegeneration occurring before amyloidosis,67,103-106 evidence of neurodegeneration in face of normal amyloid levels,107,108 axonal injury,104 and tau lesions in late myelinating regions predating amyloid deposition in prodromal AD109 may explain the failure of trials targeting amyloid. Other explanations might be problems with patient selection, subjects at different stages of the disease or inappropriate time of intervention, inadequate dose, target engagement, choice of clinical assessment scales, gaps in the understanding of AD pathophysiology.18,19 There is compelling evidence that tau-altering pharmacologic interventions would be worthwhile. Tau pathology is more firmly associated with clinical and cognitive decline than is amyloid pathology, and tau may accumulate in susceptible regions earlier than amyloid.21,110 Tau pathology is seen in the brain most prominently as NFTs, not only in AD but also in other neurodegenerative illnesses. The insoluble forms of tau protein are the main component of NFTs. Tau-directed immunotherapies have been developed based on the recognition that NFTs, synapse loss, and neuronal death are associated with clinical deterioration in AD.111 Studies of tau-based therapies have involved anti-tau antibodies and active immunization, tau antiaggregants, tau kinase inhibitors, and gene therapy.112 The main objectives of these strategies are the reduction of tau oligomer levels, prevention of tau aggregation, and blockage of hyperphosphorylation or microtubule destabilization.113 Many issues that emerged from anti-amyloid drug development justify investment in tau-based therapies. It is clear now that amyloid-based therapies may be more effective in the preclinical stages of the illness, taking a long time to show significant results and requiring more subjects than in trials of prodromal and mild AD.114,115 As in the early debates of anti-amyloid therapies, many questions have yet to be answered in the development of tau-based therapies.116 The hypothesized characteristics of tau-based approaches have fueled the discussion and given impulse to this line of investigation. These interventions are supposed to be more effective in symptomatic patients and more likely to show benefits in patients at more advanced stages of the disease. Thus, clinical trials could require smaller samples, at lower cost, and less time to show results. More importantly, anti-tau approaches are not restricted to AD treatment, but may be employed in other neurodegenerative diseases in which tau deposition occurs, such as progressive supranuclear palsy (PSP) and frontotemporal dementia (FTD).116

Lithium

Convergent findings have confirmed the ability of lithium to modulate neurotrophic and protective responses in the brain. Lithium is implicated in critical intracellular mechanisms of neurotrophic responses and neurodegeneration.117-119 Inhibition of the enzymatic activity of glycogen synthase kinase 3 beta (GSK3β) is the hypothesized mechanism for prevention of tau phosphorylation and, thus, a neuroprotective effect of lithium in AD.120 The body of evidence from studies of bipolar disorder, in addition to a few trials in AD, supports the potential use of lithium as a DMT for AD.121-123 A previous report of a randomized controlled trial has shown that long-term treatment with lithium in amnestic MCI reduced P-tau levels in the CSF, with patients showing cognitive and functional stabilization during treatment.124 Lithium carbonate was then compared with placebo to determine benefits in MCI.125 Patients received lithium or placebo for 2 years and were followed-up for another year, with target lithium levels defined at a subtherapeutic window between 0.25 and 0.5 mEq/L. Lithium-treated patients remained stable over 2 years, showed better performance on cognitive tests, and had a significant increase in CSF Aβ1-42 during follow-up. Comparable positive outcomes were not observed in the placebo group. The long-term use of low-dose lithium period may be protective against cognitive decline and preserve functional capacity. However, only a few controlled intervention trials have tested the benefits of lithium in this setting, and additional research is needed.124,126-129 Other mechanisms explored in clinical trials failed to demonstrate efficacy. Receptor for advanced glycation end products (RAGE) inhibition would address neuroinflammation and oxidative stress. A phase III study was terminated in mid-2018.10,130,131 Increased insulin resistance promotes both Aβ deposition and tau phosphorylation. A trial with pioglitazone failed an interim futility analysis and was terminated, with results not yet published. Idalopirdine, a serotonin 5-hydroxytryptamine-6 (5-HT6) antagonist, was tested to establish its efficacy as adjunctive therapy to AChE inhibitors for symptomatic treatment of patients with mild-moderate AD. No improvement in cognition occurred.10

Rehabilitation and cognitive training

Some NPS seem to respond better to nonpharmacological interventions.132,133 Studies have shown that the engagement of persons with dementia in rehabilitation and cognitive training activities is more efficacious when interventions are tailor-made.134 A randomized, double-blind clinical trial to evaluate activity programs tested the outpatient version of an occupational therapy intervention, the tailored activity program (TAP). Preliminary results were promising on both NPS and caregiver burden.78 Recently, studies of information technology-based cognitive intervention programs have been conducted. Randomized controlled trials of these approaches showed significant enhancement in cognition and functional capacity, with persistent results.135 The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) combined comprehensive intervention with technology to enhance cognitive function.136

Prevention of dementia

The number of people with dementia is rising worldwide. However, in some countries, there has been a decline in dementia incidence in specific age groups.1,137,138 This decline has not been associated with a single risk or protective factor, but rather with major societal changes over the years, particularly improvement in living conditions due to improved access to education and healthcare.139 Primary prevention of dementia, i.e., controlling risk factors, has a major impact on incidence. For almost two decades, there has been evidence that a reduction in the prevalence of risk factors has a potential impact on dementia prevalence.140,141 One-third of cases are probably preventable by addressing nine major modifiable risk factors: midlife hypertension, midlife obesity and diabetes, late-life depression, physical inactivity, smoking, social isolation, and 11 to 12 years of formal education. Peripheral hearing loss was recognize as a significant and modifiable risk factor after the results of a meta-analysis.2 Preventive interventions in midlife (from age 45 to 65) include addressing hearing loss, hypertension, and obesity. Interventions in late life (after age 65) include smoking cessation, treating depression, physical activity, avoiding social isolation, and treating diabetes. Lower early-life education increases the risk of dementia, and there is no evidence of additional protection after secondary school.2

Conclusion

The high prevalence of AD and its great impact on the functional capacity of affected individuals emphasize the need to develop more effective therapies capable of halting or slowing the progression of the degenerative process and improving the symptoms of the disease. Population aging and the burden of AD on public services reinforce the need for early diagnosis. A new comprehension of the neuropathological changes of AD is emerging. The biomarker-base classification system proposed in 2018 is evidence of a broader concept of the disease’s pathological process, and the impact of this new perception on biomarker and drug development studies is already evident. However, clinical trials still face many challenges. Identifying the best molecular target or combination thereof and developing better protocols to assess intervention outcomes using biochemical and physiological measures (e.g., concentrations of Aβ1-42 in CSF, amyloid, or tau visualization on PET) as endpoints are necessary strategies to solve these challenges. Finally, the main objective of detection of AD in its preclinical stages is to facilitate early therapeutic intervention, which is the premise underlying most ongoing efforts to find new therapies.

Disclosure

The authors report no conflicts of interest.
  138 in total

1.  Elevated beta-secretase expression and enzymatic activity detected in sporadic Alzheimer disease.

Authors:  Li-Bang Yang; Kristina Lindholm; Riqiang Yan; Martin Citron; Weiming Xia; Xiao-Li Yang; Thomas Beach; Lucia Sue; Philip Wong; Donald Price; Rena Li; Yong Shen
Journal:  Nat Med       Date:  2003-01       Impact factor: 53.440

2.  Gantenerumab: a novel human anti-Aβ antibody demonstrates sustained cerebral amyloid-β binding and elicits cell-mediated removal of human amyloid-β.

Authors:  Bernd Bohrmann; Karlheinz Baumann; Jörg Benz; Francoise Gerber; Walter Huber; Frédéric Knoflach; Jürg Messer; Krisztina Oroszlan; Robert Rauchenberger; Wolfgang F Richter; Christine Rothe; Margit Urban; Michael Bardroff; Michael Winter; Christer Nordstedt; Hansruedi Loetscher
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

3.  Lithium trial in Alzheimer's disease: a randomized, single-blind, placebo-controlled, multicenter 10-week study.

Authors:  Harald Hampel; Michael Ewers; Katharina Bürger; Peter Annas; Anette Mörtberg; Anna Bogstedt; Lutz Frölich; Johannes Schröder; Peter Schönknecht; Matthias W Riepe; Inga Kraft; Thomas Gasser; Thomas Leyhe; Hans-Jürgen Möller; Alexander Kurz; Hans Basun
Journal:  J Clin Psychiatry       Date:  2009-06       Impact factor: 4.384

4.  Validating novel tau positron emission tomography tracer [F-18]-AV-1451 (T807) on postmortem brain tissue.

Authors:  Marta Marquié; Marc D Normandin; Charles R Vanderburg; Isabel M Costantino; Elizabeth A Bien; Lisa G Rycyna; William E Klunk; Chester A Mathis; Milos D Ikonomovic; Manik L Debnath; Neil Vasdev; Bradford C Dickerson; Stephen N Gomperts; John H Growdon; Keith A Johnson; Matthew P Frosch; Bradley T Hyman; Teresa Gómez-Isla
Journal:  Ann Neurol       Date:  2015-09-25       Impact factor: 10.422

5.  Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer's disease.

Authors:  Oliver Preische; Stephanie A Schultz; Anja Apel; Jens Kuhle; Stephan A Kaeser; Christian Barro; Susanne Gräber; Elke Kuder-Buletta; Christian LaFougere; Christoph Laske; Jonathan Vöglein; Johannes Levin; Colin L Masters; Ralph Martins; Peter R Schofield; Martin N Rossor; Neill R Graff-Radford; Stephen Salloway; Bernardino Ghetti; John M Ringman; James M Noble; Jasmeer Chhatwal; Alison M Goate; Tammie L S Benzinger; John C Morris; Randall J Bateman; Guoqiao Wang; Anne M Fagan; Eric M McDade; Brian A Gordon; Mathias Jucker
Journal:  Nat Med       Date:  2019-01-21       Impact factor: 53.440

6.  Clinical and biomarker changes in dominantly inherited Alzheimer's disease.

Authors:  Randall J Bateman; Chengjie Xiong; Tammie L S Benzinger; Anne M Fagan; Alison Goate; Nick C Fox; Daniel S Marcus; Nigel J Cairns; Xianyun Xie; Tyler M Blazey; David M Holtzman; Anna Santacruz; Virginia Buckles; Angela Oliver; Krista Moulder; Paul S Aisen; Bernardino Ghetti; William E Klunk; Eric McDade; Ralph N Martins; Colin L Masters; Richard Mayeux; John M Ringman; Martin N Rossor; Peter R Schofield; Reisa A Sperling; Stephen Salloway; John C Morris
Journal:  N Engl J Med       Date:  2012-07-11       Impact factor: 91.245

7.  Clinical effects of Abeta immunization (AN1792) in patients with AD in an interrupted trial.

Authors:  S Gilman; M Koller; R S Black; L Jenkins; S G Griffith; N C Fox; L Eisner; L Kirby; M Boada Rovira; F Forette; J-M Orgogozo
Journal:  Neurology       Date:  2005-05-10       Impact factor: 9.910

8.  Altered microRNAs related to synaptic function as potential plasma biomarkers for Alzheimer's disease.

Authors:  Dolores Siedlecki-Wullich; Judit Català-Solsona; Cristina Fábregas; Isabel Hernández; Jordi Clarimon; Alberto Lleó; Merce Boada; Carlos A Saura; José Rodríguez-Álvarez; Alfredo J Miñano-Molina
Journal:  Alzheimers Res Ther       Date:  2019-05-15       Impact factor: 6.982

Review 9.  A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers.

Authors:  Clifford R Jack; David A Bennett; Kaj Blennow; Maria C Carrillo; Howard H Feldman; Giovanni B Frisoni; Harald Hampel; William J Jagust; Keith A Johnson; David S Knopman; Ronald C Petersen; Philip Scheltens; Reisa A Sperling; Bruno Dubois
Journal:  Neurology       Date:  2016-07-01       Impact factor: 9.910

Review 10.  A new look at an old drug: neuroprotective effects and therapeutic potentials of lithium salts.

Authors:  Liliana Dell'Osso; Claudia Del Grande; Camilla Gesi; Claudia Carmassi; Laura Musetti
Journal:  Neuropsychiatr Dis Treat       Date:  2016-07-11       Impact factor: 2.570

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1.  Non-Invasive Solutions to Identify Distinctions Between Healthy and Mild Cognitive Impairments Participants.

Authors:  Eaman A Alharbi; Janelle M Jones; Akram Alomainy
Journal:  IEEE J Transl Eng Health Med       Date:  2022-05-16

Review 2.  Role of Body-Fluid Biomarkers in Alzheimer's Disease Diagnosis.

Authors:  Thuy Trang Nguyen; Qui Thanh Hoai Ta; Thi Kim Oanh Nguyen; Thi Thuy Dung Nguyen; Van Giau Vo
Journal:  Diagnostics (Basel)       Date:  2020-05-20

Review 3.  Dissecting Sex-Related Cognition between Alzheimer's Disease and Diabetes: From Molecular Mechanisms to Potential Therapeutic Strategies.

Authors:  Ghulam Md Ashraf; Mahmoud Ahmed Ebada; Mohd Suhail; Ashraf Ali; Md Sahab Uddin; Anwar L Bilgrami; Asma Perveen; Amjad Husain; Mohd Tarique; Abdul Hafeez; Athanasios Alexiou; Ausaf Ahmad; Rajnish Kumar; Naheed Banu; Agnieszka Najda; Amany A Sayed; Ghadeer M Albadrani; Mohamed M Abdel-Daim; Ilaria Peluso; George E Barreto
Journal:  Oxid Med Cell Longev       Date:  2021-03-05       Impact factor: 6.543

Review 4.  Molecular Insights into Therapeutic Potentials of Hybrid Compounds Targeting Alzheimer's Disease.

Authors:  Ankit Jana; Arkadyuti Bhattacharjee; Sabya Sachi Das; Niraj Kumar Jha; Avani Srivastava; Akshpita Choudhury; Rahul Bhattacharjee; Swagata De; Asma Perveen; Danish Iqbal; Piyush Kumar Gupta; Saurabh Kumar Jha; Shreesh Ojha; Sandeep Kumar Singh; Janne Ruokolainen; Kavindra Kumar Kesari; Ghulam Md Ashraf
Journal:  Mol Neurobiol       Date:  2022-03-26       Impact factor: 5.682

5.  Plasma Lipidomics Approach in Early and Specific Alzheimer's Disease Diagnosis.

Authors:  Carmen Peña-Bautista; Lourdes Álvarez-Sánchez; Marta Roca; Lorena García-Vallés; Miguel Baquero; Consuelo Cháfer-Pericás
Journal:  J Clin Med       Date:  2022-08-27       Impact factor: 4.964

6.  A preliminary study about neurofilament light chain and tau protein levels in psoriasis: Correlation with disease severity.

Authors:  Gokhan Okan; Adile Merve Baki; Eda Yorulmaz; Semra Doğru-Abbasoğlu; Pervin Vural
Journal:  J Clin Lab Anal       Date:  2020-09-08       Impact factor: 2.352

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