Are we ready to use anti-amyloid therapy in Alzheimer's disease?ABSTRACT
Alzheimer’s disease (AD) is the most common neurodegenerative disease. Biomarkers have demonstrated that AD pathology exists over the disease continuum from a stage preceding symptoms over 15-25 years to the progressively more impaired symptomatic states, mild cognitive impairment (MCI), and dementia. Biomarkers include: amyloid (Aß), phosphorylated tau, and neurodegeneration. The plasma assays for Aß and tau show great promise for clinical and research use. This review has aimed not only to present the ATN diagnostic classification and the preclinical AD concepts in addressing some possibilities of cognitive assessment instruments, but also to briefly summarize the main anti-amyloid monoclonal antibodies studied in clinical trials. In addition, this paper presents a critical analysis by experts in cognitive neurology while addressing the question as to whether we are prepared for the anti-amyloid therapy era or not.
Keywords: Alzheimer Disease; Biomarkers; Dementia
RESUMO
A doença de Alzheimer (DA) é a doença neurodegenerativa mais comum. Os biomarcadores demonstraram que a patologia da DA existe ao longo do continuum da doença, desde um estágio anterior à sintomatologia, ao longo de 15 a 25 anos, até os estados sintomáticos progressivamente mais prejudicados, comprometimento cognitivo leve (CCL) e demência. Eles subdividem-se em três categorias: amiloide (Aß), tau fosforilada e neurodegeneração. A dosagem de Aß e tau plasmáticos mostra uma grande promessa para uso clínico e de pesquisa. Esta revisão teve como objetivo apresentar a classificação diagnóstica da ATN, os conceitos pré-clínicos da DA e abordar algumas possibilidades de instrumentos de avaliação cognitiva, mas principalmente resumir brevemente os principais anticorpos monoclonais anti-amiloide estudados em ensaios clínicos. Além disso, este artigo apresenta uma análise crítica de especialistas em neurologia cognitiva: estamos ou não preparados para a era da terapia anti-amiloide?
Palavras-chave: Doença de Alzheimer; Biomarcadores; Demência
INTRODUCTION
Answering the title question is very difficult without having some crucial knowledge about pathophysiology and well-defined terms and ideas. Therefore, the main aspects of disease-modifying drugs in the treatment of Alzheimer’s disease (AD), the most common and one of the best-characterized disorders among neurodegenerative diseases, are going to be addressed in what follows.
PATHOPHYSIOLOGY, AMYLOID CASCADE THEORY, AND ATN CLASSIFICATION
Classically, the entorhinal cortex of the medial temporal lobe, an essential pathway through information input to the hippocampus, is affected in early disease stages. Other regions involved that are involved early on in the disease process include: the locus coeruleus, dorsal raphe nucleus, posterior cingulate, precuneus, medial and lateral parietal, and lateral frontal cortices. AD neuropathological hallmarks have remained the same over the last 100 years since the initial description by Lois Alzheimer: (a) extracellular neuritic plaques (NP) - composed mainly of beta-amyloid peptide (βA42) deposited primarily in the parenchyma and in blood vessels and (b) neurofibrillary tangles (NFT) - intracellular cytoplasmic aggregates of the hyperphosphorylated tau protein (pTau)1. NP and NFT can be detected with silver stains, such as Bielschowsky or Gallyas, or by immunohistochemistry using antibodies against βA or Tau1.
Research criteria for the pathological diagnosis of AD involve the description of NP and NFT2. The Consortium to Establish a Registry for Alzheimer’s disease (CERAD) used semi-quantitative NP frequency adjusted to age, and Braak & Braak defined six stages according to the presence of NFT in prone regions of the brain. The National Institute of Aging (NIA) and the Alzheimer’s Association (AA) later proposed modifications. The 2012 NIA-AA is one of the most commonly used criteria, applies the “ABC score” that includes the Thal Aβ phase in classification3. Despite the local incongruence of overlap between NP and NFT, the best pathophysiology theory includes the “amyloid cascade theory”4, characterized by (i) formation, overproduction, and accumulation of βA42 derived from amyloid precursor protein (APP) leading to neuronal injury, formation of oligomers, protofibrils, and plaques after the two steps of cleavage of AAP by β and γ-secretase. The process later (ii) evolves with secondary tauopathy and NFT formation, and further. advances with microtubule dysfunction, leading to synaptic loss and retrograde degeneration, neuronal dysfunction, and, finally, brain atrophy. In summary, the hypothesis is that β-amyloidosis enables the spread of tauopathy, which is associated with neurodegeneration, the immediate cause of clinical symptoms. There are often vascular changes in small vessels and capillaries, with or without parenchyma alterations denoted by cerebral amyloid angiopathy (CAA). The hypothesis is that Aβ exits the brain via perivascular pathways, and that reduced perivascular clearance (rather than overproduction of Aβ) is a shared pathogenic mechanism in CAA and AD5.
Since 2016, the “A/T/N” classification system has been used in cognitive aging and dementia research6. This biomarker classification makes no assumptions as to temporal order of biomarkers or amyloid cascade and is independent of clinical and cognitive status. It is a binary system that evaluates the presence of neurodegeneration, βA, and tau protein. The “A” class refers to presence of a β-amyloid biomarker (high ligand retention on amyloid PET or low CSF Aβ42); the “T” refers to presence of a tau biomarker (elevation of CSF pTau, or high ligand retention tau PET); and, finally, “N” refers to biomarkers of neurodegeneration or neuronal injury (hypometabolism on [18F]-fluorodeoxyglucose-PET, atrophy on structural MRI in regions characteristic of AD or high CSF total tau). Each biomarker is categorized as positive or negative. An individual score might appear as A+/T+/N-, or A+/T-/N-, etc. (Table 1). If a biomarker class is unavailable, it would be categorized as “u.” Later, in 2018, the A/T/N classification was combined with the cognitive stage (cognitively unimpaired, mild cognitive impairment, or dementia)7.
PRECLINICAL AD DIAGNOSTIC CRITERIA
In 2016, the National Institute on Aging (NIA) and the Alzheimer’s Association (AA) set up a panel to develop a research framework conceptualizing AD primarily as a clinicopathological entity, since pathological changes can occur over 15-25 years without any symptoms1,8. Therefore, presence of biomarkers has demonstrated that AD pathology exists over the continuum of the disease from a stage preceding symptomatology (the “preclinical state”), which includes subjective cognitive decline (SCD), followed by the progressively impaired symptomatic states of mild cognitive impairment (MCI) and dementia.8 While the ATN system was adopted in research, the panel described the six-stage clinical staging of AD based on the clinical nosology (Table 2).
Irrespective of clinical symptoms, the term “Alzheimer’s disease” refers to an aggregate of neuropathologic changes andis thus defined in vivo by biomarkers or by postmortem examination. A minimum amount of amyloid plaques (composed of Aβ42 peptide) is necessary for the diagnosis of AD pathology7. Nevertheless, in order to fulfill AD criteria at any stage at least two biomarkers need to be identified 7,8. Currently, the interest in stage 1 diagnosis is reserved for research and clinical trials. On the other hand, multi-domain amnestic dementia phenotype is the most common presentation at stages 4-6, albeit not specific as it can occur in other diseases other than AD7. Nonamnestic clinical presentations such as language, visuospatial, and executive disorders, may also occur in AD, especially in younger individuals.
Subjective cognitive decline
SCD is defined as self-perceived cognitive decline, with normal performance within the expected range on objective cognitive tests and no functional impairment on activities of daily life9. The decline may involve any cognitive domain(s), not exclusively memory, and may be corroborated by the informant, although this is not required7. In the context of predementia diagnosis, SCD is even more challenging because it may be caused by causes other than neurodegenerative diseases, such as AD 10. However, SCD has been recognized as the earliest symptomatic manifestation of AD in most research works10.
Mild cognitive impairment
MCI is characterized by (1) cognitive complaint reported by the patient and/or informant; (2) report of cognitive decline over the previous year; (3) performance in the impaired/abnormal range on objective cognitive tests (memory and/or other domains), compared to normal adults of the same age and educational level; (4) preserved general cognitive functioning; (5) absence of dementia11,12.
NEUROLOGICAL ASSESSMENT
Many cognitive tests are available for a brief assessment of the main cognitive domains. The Mini-Mental State Examination (MMSE) the most used evaluation tool worldwide, covers temporal and spatial orientation, memory, attention, calculations, language, and construction skills13. The MMSE can be used for screening, diagnosis, and progression assessment. It was adapted and standardized for the Brazilian population according to educational level14.
Another more recently commonly used test is the Montreal Cognitive Assessment (MoCA) which can be used in patients with MCI or mild dementia, particularly those with higher educational levels (>12 years)15. Consequently, using MoCA in a population with heterogeneous educational background, such as that of Brazil, may be limited16. In order to avoid this difficulty, the Brief Cognitive Screening Battery (BCSB) could be used to detect cognitive impairment in patients with both low and high education levels 17,18. This test consists of naming and encoding ten pictures and recalling them five minutes later, after an intervening activity consisting of semantic verbal fluency (animals/1 min) and the clock drawing test19.
Finally, a formal neuropsychological evaluation is required to assess other specific cognitive domains, such as language, praxis, visuospatial skills, episodic memory, attention, and executive functions, when usual cognitive screening tests are not sensitive enough to detect cognitive impairment, especially in MCI individuals, or when diagnostic uncertainty remains.
BIOMARKERS USED FOR THE DIAGNOSIS OF ALZHEIMER'S DISEASE
Biomarkers for AD diagnoses are divided into three categories: Amyloid (Aß), Tau, and Neurodegeneration7,19.
Biomarkers for Aß pathology
Amyloid-beta (Aß) is derived from the amyloid precursor protein (APP), a transmembrane protein concentrated in neuronal synapses. APP is created initially by a ßAPP cleaving enzyme 1 (BACE1) and then by gamma-secretase, yielding Aß peptide, composed of 37 to 43 amino acids. Isoforms with 42 and 43 amino acids are the most prone to aggregate in the extracellular plaques found in AD patients20. The diagnostic methods are positron emission tomography (PET) with Aß tracers and cerebral spinal fluid or serum amyloid assays.
5.1.1 Amyloid PET
PET is a nuclear medicine method widely used in Alzheimer's disease research. Amyloid tracers can detect insoluble Aß fibrils in plaques with high accuracy, using post-mortem pathological findings as gold standard20. Conversely, a negative Aß-PET scan allows ruling out the diagnosis of AD.
Amyloid PET allows detection of amyloid accumulation early in the pathological AD process, about 20 years before dementia onset19,20. Initially, the most affected structures are the medial frontal and medial parietal regions, and, as the disease progresses, amyloid deposition spreads to the entire cerebral cortex. Therefore, presence of Aß plaques in cognitively normal people or people with mild cognitive impairment is associated with an increased risk of developing dementia.
In Brazil the most commonly used PET tracer is the carbon 11 based Pittsburgh compound B ((C11) PiB). Major limitation is the rapid decay rate (about 15 minutes), requiring an in-site cyclotron. Fluor 18 based tracers have a longer half-life (about 180 minutes), facilitating logistics and allowing the exam to be performed far away from the manufacturing site. The most commonly used 18F-based tracers are (F18) florbetapir, (F18) florbetaben and (F18) flutemetamol20.
Aß-PET scans have limitations: first, older adults often show Aß plaques, even though they may be cognitively normal. Second, location of amyloid plaques does not coincide with the clinical course of AD, preventing Aß-based methods to assess disease severity and prognosis20.
5.1.2 Amyloid in CSF
Aß can be accurately measured in the cerebrospinal fluid (CSF). Patients with AD showed about 50% reductions in CSF Aß42 concentrations. The Aß42/Aß40 ratio is also reduced, with better accuracy than isolated Aß42 sampling. In addition, a reduced Aß42 or Aß42/Aß40 ratio in the CSF of MCI patients predicts development of dementia with high accuracy19,20.
Aß CSF measuring is an invasive method, still unavailable in several locations. Moreover, the method is susceptible to several pre- and post-analytical variables. Fortunately, standardized CSF collection and analysis protocols as well as development of new techniques have been published.
5.1.3 Serum amyloid
Due to the high cost of Aß-PET and concerns with CSF collection, there has been an incentive to develop more accessible diagnostic methods, such as serum amyloid analysis. Until 2016, attempts to detect amyloid in serum were unsuccessful due to the very low concentrations of these peptides in the serum. With the development of hypersensitive methods (such as single-molecule array and immunoprecipitation mass spectrometry), Aß42 and Aß42/Aß40 rates in serum have become feasible20,21. However, the decrease in Aß42 in serum is much lower (10-20%) than in the CSF of patients with positive amyloid PETs (40-60%)20. Production of Aß at sites other than the central nervous system can explain this discrepancy. An alternative to address this matter is to use serum Aß in combination with other serum tests.
Tau protein biomarkers
Tau Protein is an intracellular component that brings together and stabilizes microtubules. Its gene, MAPT, can be transcribed into six isoforms: three with three repeats, and three with four repeats. Tauopathy encompasses both three and four repeats' isoforms in AD patients20. The tau protein can be modified in more than 70 post-translational modification sites, including more than 40 phosphorylation sites21. In AD, hyperphosphorylation leads to formation of neurofibrillary tangles [DIdM1] within neurons and, consequently, neurodegeneration.
5.2.1 Tau-PET
The most widely used tau tracers are (F18) flortaucipir, (F18) MK6240, and (F18) RO948. These tracers show high sensitivity and specificity for the diagnosis of AD, even compared to other tauopathies20. Furthermore, in vivo tau tracer's regional uptake corresponds to tau pathology in post-mortem studies.
In the early stages of typical AD, tracer accumulation begins in the entorhinal cortex, spreading to nearby areas, such as the hippocampus and subiculum. Therefore, progression of tau ligands in the cerebral cortex is similar to pathological tau deposition and neurodegeneration progression in AD described by Braak20,22. Because of this, the pattern of tau ligand deposition in the cerebral cortex is closely related to AD clinical phenotype. For example, typical amnestic symptoms are associated with symmetrical temporoparietal tau deposition, logopenic aphasia to asymmetric left temporal tau, and visuospatial impairment to posterior parietal tau20.
Tau-PET can be used both as a diagnostic biomarker for AD, and as a dementia risk predictor in patients with MCI or without cognitive impairment. In addition, Tau-PET is under study as a possible prognosis indicator20.
5.2.2 CSF Phosphorylated tau
Total tau (t-tau) and phosphorylated tau (p-tau) have different implications in AD diagnosis. Total tau protein is not specific to Alzheimer's disease, as it is elevated in several neurodegenerative disorders. However, it is an excellent marker of neurodegeneration. In order to investigate AD tau pathology, one must analyze the phosphorylated tau protein. Phosphorylation of tau protein can occur at several sites. The two phosphorylation sites with the highest diagnostic accuracy are threonine 181 (P-tau-181) and 217 (P-tau-217). P-tau-181 and P-tau-217 are selectively increased in AD, but not in other neurodegenerative diseases. Moreover, they are associated with a higher risk of conversion of cognitively unimpaired or MCI individual to AD dementia20,21.
5.2.3 Serum phosphorylated tau
Ultrasensitive diagnostic methods have allowed the analysis of p-tau in serum with high sensitivity and specificity. In addition, serum P-tau-217 was equivalent to other methods used for predicting dementia risk in preclinical and prodromal AD cases20. Therefore, although still in the validation phase, P-tau217 detection in serum is a promising tool for use in clinical trials as a diagnostic method for preclinical AD. It could guide initiation of disease-modifying treatments, and monitoring treatment response. Additionally, it could help predicting prognosis and rate of disease progression20.
Neurodegeneration biomarkers
The main biomarkers of neurodegeneration are magnetic resonance imaging (MRI), PET with fluorodeoxyglucose (FDG-PET), and total tau protein in CSF. In addition, newer studies have recently highlighted the measurement neurofilament light chain (NfL) in the serum and cerebrospinal fluid.
MRI is essential for the initial diagnosis of dementia, allowing ruling out vascular dementia and causes of reversible dementias. In addition, the atrophy pattern can help narrow down diagnostic hypotheses in different neurodegenerative dementias23.
In AD dementia, atrophy of mesial temporal structures predominates in the early stages. As the disease progresses, atrophy spreads throughout the cortex. However, observation of atrophy on MRI is neither sensitive nor specific for AD diagnosis. On the other hand, it helps monitor disease course. Sequential tests on the same patient show gradual accentuation of atrophy, especially in the mesial temporal region. The most accurate methods for such comparison are hippocampal volumetry, and analysis of cortical thickness23.
FDG-PET detects metabolic activity in several cortical areas by capturing the signal emitted by a radioactive glucose molecule. In Alzheimer's disease, glucose uptake is reduced in the posterior cingulate, precuneus, temporoparietal cortex, and medial temporal cortex23. The main strength of FDG-PET over brain MRI is that hypometabolism occurs earlier than atrophy. While atrophy is usually seen only in AD dementia, metabolic impairment appears earlier in the prodromal stages of AD. In addition, FDG-PET has greater accuracy in the differential diagnosis between AD and other dementias23.
NfL is an axonal scaffolding protein. When neuronal damage is present, an elevation of NfL occurs in both CSF and serum. NfL has a well-established use in various neurological diseases, such as Parkinson’s plus diseases, amyotrophic lateral sclerosis, and frontotemporal dementia. Recently, it has also been studied in patients with AD21,23. This biomarker indicates neurodegeneration, and it assists in estimating the rate of disease progression, prognosis, severity, and can enable monitoring response to disease-modifying therapies. NfL however, are not specific to Alzheimer's disease and does not help in the differential diagnosis with other causes of dementia21.
ANTI AMYLOID THERAPY
Prevention of cognitive decline in AD is of major importance. The disease has a considerable cost, with an estimate of nearly 1 trillion USD around the globe24. Emerging AD-modifying therapy is a possibility towards hoping for fewer patients with the disease.
There are many challenges related to using this kind of therapeutics. The first challenge is an accurate and early diagnosis; before the stage of dementia (SCD or MCI), general practitioners must be trained to make a diagnosis and refer the patient to a patient-centered dementia care to perform biomarkers (PET scan, fluid-based or CSF-based) and to identify which patients are suited for modifying pharmacological interventions. Another drawback in the treatment is the necessary infrastructure (MRI, PET, and biomarkers facilities). Interventions should be appropriate, affordable, and accessible25.
Amyloid therapy until now has not shown positive and robust results. It is not clear if removing amyloid will stop the processes involved in the physiopathology of AD26.
The first approval of a disease-modifying therapy was in June, 2021 by the U.S. Food and Drug Administration (FDA), with considerable controversy about results shown by two clinical trials with aducanumab. We shall discuss this substance and others in the pipeline.
Aducanumab
Aducanumab is an amyloid beta-directed monoclonal antibody against Aß aggregates. The approval of this drug was based on the results of two phase-3 clinical trials (EMERGE and ENGAGE), which have included MCI and mild AD patients. The patients were followed for 78 weeks. The main inclusion criteria were age between 50 and 85 years, CDR 0.5 to 1, MMSE 24 to 30 points, and positive amyloid-PET. The primary outcome was CDR-SB (Clinical rating Scale-Sum of Boxes), and secondary outcomes were MMSE (cognition), ADAS-Cog-13 (cognition), and ADCS-ADL-MCI (instrumental activities of daily living). Biomarkers were also used for secondary outcome measurements (amyloid-PET, tau-PET, and CSF biomarkers)27.
Although the two studies were identical, one was positive (EMERGE), with significant differences compared to placebo in CDR-SB ADAS-Cog-13. The difference in the placebo's primary outcome (CDR-SB) was 22%, slowing the progression in 78 weeks. The ADAS-Cog showed a 27% drug-placebo difference, the ADCS-ADL MCI demonstrated a 40% drug-placebo difference, and the MMSE an 18% difference27,28.
The amyloid retention in PET was the most substantial effect in the active treatment arm. Another significant effect was the lowering of CSF p-tau29.
The patients in the EMERGE study were under a longer high-dose regimen. Doses ranged from 3 mg/kg to 10 mg/kg in patients divided into ApoE E4 carriers and non-carriers27.
Two adverse events (AE) were relatively common, the Amyloid-Related Imaging Abnormalities, ARIA-E (edema), and ARIA-H (hemorrhage), present in 30.7 to 41.2% of patients, and more frequently seen in ApoE E4 carriers and in patients who received higher doses. AE presented as headache, dizziness, nausea, visual disturbances, with spontaneous resolution in four to 16 weeks27,29.
Since its approval, use recommendations have been established and prescription of aducanumab should be restricted in patients with mild AD or MCI, no clinically significant systemic illness, and no unstable psychiatric condition30. Another aspect is the monthly infusion and MRI at baseline and before the fifth, seventh, and 12th infusions31.
Considering “a real world” treatment scenario, the proportion of eligible patients would be low (less than 1%) as shown in an Italian outpatient dementia clinic32. Ninety-two percent of Medicare beneficiaries would be excluded from clinical trials with aducanumab33.
A negative aspect is the cost of this medication. The initial cost was US$56,000/year; after some months, Biogen reduced cost to US$28,000. The Institute for Clinical and Economic Review report calculated the cost-effectiveness threshold prices ranged from an annual price of US$2,560 to US$8,29034.
Lecanemab
Lecanemab (BAN2401) selectively binds to large, soluble Aß protofibrils and oligomers and insoluble fibrils. It is a humanized IgG1 version of mAb158. The phase IIb study enrolled MCI due to AD and early AD dementia patients. It did not meet its primary endpoint (a composite score). A reduction in amyloid was observed at 18 months, with a low rate of ARIA-E incidence of less than 10%. Slowing of the cognitive composite was observed, and there was an increase in CSF Aβ42/40 during ttreatment35.
There is an ongoing phase III study (Clarity AD) for early symptomatic AD; and another study in the pre-clinical stages of AD (AHEAD3-45) is currently enrolling36.
Gantenerumab
Gantenerumab is a monoclonal antibody with preferential affinity for Aß oligomers and fibril; it did not significantly affect biomarkers; mainly it did not reduce amyloid retention on amyloid PET. It reduced CSF p181-tau, but no differences were observed for ADAS-Cog, MMSE, and CDR-SB37. There is an ongoing phase III study with higher doses in MCI patients37.
Crenezumab
Crenezumab is a humanized anti- Aβ IgG4 mAb that recognizes the mid-domains of oligomeric and aggregated fibrillary forms of Aβ peptides and amyloid plaques. The two-phase two trials ABBY and BLAZE assessed safety, efficacy, amyloid burden change, and clinical outcomes in mild to moderate AD. The crenezumab group did not differ from the placebo group in both trials38,39.
Two phase-three trials, CREAD 1 and 2, designed to evaluate 1,500 patients with prodromal to mild AD in a two-year intervention, were discontinued in 2019 because of futility analysis40. The Alzheimer´s Preventiion Initiative (API) - Autosomal dominant Alzheimer disease (API-ADAD) trial is a double-blind placebo-controlled trial with crenezumab for patients with presenilin 1 mutation carriers41.
Solanezumab
Solanezumab is a humanized immunoglobulin G1 monoclonal antibody that binds to the mid-domain of the Aβ peptide; its supposed action is to increase clearance of soluble Aβ from the brain42.
Solanezumab phase 1 and 2 studies showed that the drug is well tolerated with no serious adverse events. No inflammation, vasogenic edema, or microhemorrhage were demonstrated on MRI. The phase 2 study confirmed dose-dependent increases of various Aβ species in plasma and CSF but no clinical benefit43,44.
Phase 3 trials, EXPEDITION-1 and -2, randomized 1,012 and 1,040 patients with mild to moderate AD, to receive 400 mg solanezumab or placebo monthly infusions for 18 months. Tolerability and safety have been confirmed, and no improvement on the primary outcome measures (ADAS-Cog11 and ADCS-ADL) was observed. Of note, in the two trials, approximately 25% of mild AD patients did not have evidence of amyloid-related disease43,44.
EXPEDITION-3, a phase 3 trial, enrolled 2,100 patients with mild AD with confirmed brain amyloid burden to receive 400 mg solanezumab or placebo monthly infusions for 76 weeks. The primary endpoint was ADAS-Cog 14. No clinical benefit was observed between treatment groups45.
Solanezumab and gantenerumab were administered to asymptomatic and very mildly symptomatic carriers of autosomal-dominant mutations in the Alzheimer's genes APP, presenilin-1, and presenilin-2 for four to seven years. The trial failed to demonstrate cognitive benefits. An ongoing trial called A4 is a secondary prevention trial in asymptomatic or very mildly symptomatic people aged 65 and older who have biomarker evidence of brain amyloid deposition; this study will be completed in December, 2022 (clinicaltrials.gov; NCT02008357)46.
Donanemab
Donanemab is a humanized immunoglobulin G1 monoclonal antibody that binds to a pyroglutamate form of Aβ present only in brain amyloid plaques, removing them from the brain of AD patients. A two-phase 1 clinical trial in patients with MCI or mild and moderate AD dementia showed a reduction in amyloid load, and safety and tolerability were demonstrated. Anti-drug antibodies were observed in most of the patients47,48.
The phase 2 TRAILBLAZER-ALZ trial evaluated clinical benefits in a double-blind placebo-controlled trial in early or mild AD patients. Patients must have amyloid and tau pathology confirmed with flortaucipir and florbetapir PET scan, and received 700 mg for the first three doses and 1,400 mg intravenously every four weeks up to 72 weeks. Subjects with extensive tau pathology were excluded in order to avoid patients with advanced AD. Two hundred and seventy-two subjects were randomized, and the primary outcome was change from baseline to 76 weeks in Integrated Alzheimer’s Disease Rating Scale score, a combination of ADASCog13 and the Alzheimer’s Disease Cooperative Study-Instrumental Activities (ADCS-iADL), that ranges from 0 to 144. Secondary outcomes were: MMSE, Clinical Dementia Rating Scale Sum of Boxes (CDR-SB), and ADAS-Cog13 and ADCS-iADL separately. The Donanemab group declined by 6.86 points compared to 10.06 in the placebo group (p=0.04); baseline score was 106. Unfortunately, this difference did not reach the 6-point difference designated by the trial as a clinically relevant goal. Secondary outcomes did not differ between groups. Amyloid burden decreased in the donanemab group and remained stable in the placebo group. Tau pathology and hippocampal volume assessed by MRI did not differ between groups, but whole-brain volume had a greater decrease, while ventricular volume had a greater increase in the donanemab group. ARIA occurred in 38.9% of the participants in the donanemab group and 8.0% in the placebo group. ARIA-E was more frequent in the donanemab group than in the placebo group (26.7% vs. 0.8%) and was mostly asymptomatic. A phase 3 trial (TRAILBLAZER-ALZ 3) and a head-to-head trial with donanemab and aducanumab (TRAILBLAZER-ALZ 4) are in progress. (clinicaltrials.gov; NCT05026866; NCT05108922)47,48.
6.6.1 No, we are not ready for anti-amyloid therapy in AD
Several drugs have been tested in the past 20 years based on the amyloid cascade hypothesis. According to this theory, drugs that target the accumulation of amyloid would interrupt the pathogenic process of AD. The amyloid cascade could be stopped by decreasing Ab production, increasing brain Ab clearance, or antagonizing Ab aggregation. BACE inhibitors, passive immunotherapy, active immunotherapy, g-secretase inhibitors, g-secretase modulators, Ab aggregation inhibitors, and secretase inhibitors have all been tested, and most drugs failed in phase 1 or phase 2 trials49. Unfortunately, most drugs showed no significant clinical benefits, despite reducing brain amyloid burden, and many trials were halted for futility..
The amyloid burden does not correlate with clinical severity of AD; cognitively healthy individuals may have amyloid deposition in their brains, and tau pathology has been observed prior to severe Ab deposition in young patients with AD49,50. Patients with suspected non-AD pathology (SNAP) have the same MCI-dementia conversion rate as individuals with Ab accumulation50.
Therefore, the central and starting pathology role of Ab accumulation in AD must be reviewed. It is reasonable to imagine that Ab deposition is a secondary consequence of another initial insult, or a brain reaction to neuronal damage50. Also, results of trials with genetically determined AD will be interesting to clarify the role of anti-amyloid therapy in these subgroups of patients.
Even though we consider the ambiguous clinical benefits shown in some more recent monoclonal antibodies trials, we are still not prepared for this treatment: the high prevalence of AD worldwide demands an accessible treatment for many patients. This is not the case of monoclonal antibodies. For example, the estimated cost of aducanumab is US$56.000 yearly51. This cost does not consider cost of serial MRI or PET scans needed to evaluate drug response or the common side effect of ARIA.
In 2022, the American Academy of Neurology launched a position statement about the controversial approval of aducanumab by the FDA for the treatment of AD. In the statement, the ethical principles of beneficence and nonmaleficence are recalled to guide neurologists in the decision to prescribe the drug52. Until now data regarding the use of monoclonal antibodies do not prove clinical benefits, and the high potential for harm, mainly ARIA, suggest that anti-amyloid therapy is not ready for general use in AD.
6.6.2 Yes, we are ready to prescribe and follow these patients in specialized dementia centers
Favorable points for monoclonal antibodies use:
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Aducanumab is the first of a new era in AD treatment, a window of opportunity to understand the disease and to offer a therapy for disease modification;
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Infusion centers will be an adequate place to offer the treatment;
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A greater collaboration among primary care clinicians and specialists;
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There are observations of slowing of cognitive decline in other trials of antibodies, with an opportunity of hope for patients and caregivers.
References
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1. Scheltens P, De Strooper B, Kivipelto M, Holstege H, Chételat G, Teunissen CE, et al. Alzheimer’s disease. Lancet. 2021 Apr 24;397(10284):1577-90. https://doi.org/10.1016/s0140-6736(20)32205-4
» https://doi.org/10.1016/s0140-6736(20)32205-4 -
2. Jack CR Jr, Albert MS, Knopman DS, McKhann GM, Sperling RA, Carrillo MC, et al. Introduction to revised criteria for the diagnosis of Alzheimer’s disease: National Institute on Aging and the Alzheimer Association Workgroups. Alzheimers Dement. 2011 May;7(3):257-62. https://doi.org/10.1016/j.jalz.2011.03.004
» https://doi.org/10.1016/j.jalz.2011.03.004 -
3. Hyman BT, Phelps CH, Beach TG, Bigio EH, Cairns NJ, Carrillo MC, et al. National Institute on Aging-Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease. Alzheimers Dement. 2012 Jan;8(1):1-13. https://doi.org/10.1016/j.jalz.2011.10.007
» https://doi.org/10.1016/j.jalz.2011.10.007 - 4. Hardy JA, Higgins GA. Alzheimer’s Disease: The Amyloid Alzheimer’s disease. Science. 1992 Apr 10;256(5054):184-5.
-
5. Greenberg SM, Bacskai BJ, Hernandez-Guillamon M, Pruzin J, Sperling R, Veluw SJV. Cerebral amyloid angiopathy and Alzheimer disease - one peptide, two pathways. Nat Rev Neurol. 2020 Jan;16(1):30-42. https://doi.org/10.1038/s41582-019-0281-2
» https://doi.org/10.1038/s41582-019-0281-2 - 6. Jack CR Jr, Hampel HJ, Universities S, Cu M, Petersen RC. A new classification system for AD, independent of cognition A / T / N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology. 2016 Aug 2;87(5):539-47.
-
7. Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, et al. NIA-AA Research Framework: Toward a biological definition of Alzheimer’s disease. Alzheimers Dement. 2018 April;14(4):535-62. https://doi.org/10.1016/j.jalz.2018.02.018
» https://doi.org/10.1016/j.jalz.2018.02.018 -
8. Knopman DS, Haeberlein SB, Carrillo MC, Hendrix JA, Kerchner G, Margolin R, et al. The National Institute on Aging and the Alzheimer’s Association Research Framework for Alzheimer’s disease: Perspectives from the Research Roundtable. Alzheimers Dement. 2018 Apr;14(4):563-75. https://doi.org/10.1016/j.jalz.2018.03.002
» https://doi.org/10.1016/j.jalz.2018.03.002 -
9. Jessen F, Amariglio RE, Buckley RF, van der Flier WM, Han Y, Molinuevo JL, et al. The characterisation of subjective cognitive decline. Lancet Neurol. 2020 Mar;19(3):271-8. https://doi.org/10.1016/s1474-4422(19)30368-0
» https://doi.org/10.1016/s1474-4422(19)30368-0 -
10. Rabin LA, Smart CM, Amariglio RE. Subjective cognitive decline in preclinical Alzheimer’s Disease. Annu Rev Clin Psychol. 2017 May 8;13:369-6. https://doi.org/10.1146/annurev-clinpsy-032816-045136
» https://doi.org/10.1146/annurev-clinpsy-032816-045136 -
11. Petersen RC, Aisen P, Boeve BF, Geda YE, Ivnik RJ, Knopman DS, et al. Mild cognitive impairment due to Alzheimer disease in the community. Ann Neurol. 2013 Aug;74(2):199-208. https://doi.org/10.1002/ana.23931
» https://doi.org/10.1002/ana.23931 -
12. Morris JC. Revised criteria for mild cognitive impairment may compromise the diagnosis of Alzheimer disease dementia. Arch Neurol. 2012 Jun;69(6):700-8. https://doi.org/10.1001/archneurol.2011.3152
» https://doi.org/10.1001/archneurol.2011.3152 -
13. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975 Nov;12(3):189-98. https://doi.org/10.1016/0022-3956(75)90026-6
» https://doi.org/10.1016/0022-3956(75)90026-6 -
14. Brucki SMD, Nitrini R, Caramelli P, Bertolucci PHF, Okamoto IH. Sugestões para o uso do mini-exame do estado mental no Brasil. Arq Neuropsiquiatr. 2003 Sep;61(3B):777-81. https://doi.org/10.1590/S0004-282X2003000500014
» https://doi.org/10.1590/S0004-282X2003000500014 -
15. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005 Apr;53(4):695-9. https://doi.org/10.1111/j.1532-5415.2005.53221.x
» https://doi.org/10.1111/j.1532-5415.2005.53221.x -
16. Cesar KG, Yassuda MS, Porto FHG, Brucki SMD, Nitrini R. MoCA Test: normative and diagnostic accuracy data for seniors with heterogeneous educational levels in Brazil. Arq Neuropsiquiatr. 2019 Nov;77(11):775-81. https://doi.org/10.1590/0004-282x20190130
» https://doi.org/10.1590/0004-282x20190130 -
17. Nitrini R, Lefèvre BH, Mathias SC, Caramelli P, Carrilho PE, Sauaia N, et al. Neuropsychological tests of simple application for diagnosing dementia. Arq Neuropsiquiatr. 1994 Dec;52(4):457-65. https://doi.org/10.1590/s0004-282x1994000400001
» https://doi.org/10.1590/s0004-282x1994000400001 -
18. Nitrini R, Brucki SMD, Yassuda MS, Fichman HC, Caramelli P. The Figure Memory Test: diagnosis of memory impairment in populations with heterogeneous educational background. Dement Neuropsychol. 2021 Apr-Jun;15(2):173-85. https://doi.org/10.1590/1980-57642021dn15-020004
» https://doi.org/10.1590/1980-57642021dn15-020004 -
19. Dubois B, Villain N, Frisoni GB, Rabinovici GD, Sabbagh M, Cappa S, et al. Clinical diagnosis of Alzheimer's disease: recommendations of the International Working Group. Lancet Neurol. 2021 Jun:20(6):484-96. https://doi.org/10.1016/S1474-4422(21)00066-1
» https://doi.org/10.1016/S1474-4422(21)00066-1 -
20. Hansson O. Biomarkers for neurodegenerative diseases. Nat Med. 2021 Jun 03;27(6):954-63. https://doi.org/10.1038/s41591-021-01382-x
» https://doi.org/10.1038/s41591-021-01382-x -
21. Teunissen CE, Verbek IMW, Thijssen EH, Vermunt L, Hansson O, Zetterberg H, et al. Blood-based biomarkers for Alzheimer's disease: towards clinical implementation. Lancet Neurol. 2022 Jan;21(1):66-77. https://doi.org/10.1016/S1474-4422(21)00361-6
» https://doi.org/10.1016/S1474-4422(21)00361-6 -
22. Vogel JW, Iturria-Medina Y, Strandberg OT, Smith R, Levitis E, Evans AC, et al. Spread of pathological tau proteins through communicating neurons in human Alzheimer's disease. Nat Commun. 2020 May 26;11(1):2612. https://doi.org/10.1038/s41467-020-15701-2
» https://doi.org/10.1038/s41467-020-15701-2 -
23. Young PNE, Estarellas M, Coomans E, Srikrishna M, Beaumont H, Maass A, et al. Imaging biomarkers in neurodegeneration: Current and future practices. Alzheimers Res Ther. 2020 Apr 27;12(1):49. https://doi.org/10.1186/s13195-020-00612-7
» https://doi.org/10.1186/s13195-020-00612-7 - 24. World Health Organization. Globus Status Report on the Public Health Response to Dementia. Geneva: World Health Organization; 2021. 251 p.
-
25. Reiman EM, Mattke S, Kordower JH, Khatchaturian ZS, Khachaturian AS. Developing a pathway to support the appropriate, affordable, and widespread use of effective Alzheimer’s prevention drugs. Alzheimers Dement. 2022 Jan;18(1):7-9. https://doi.org/10.1002/alz.12533
» https://doi.org/10.1002/alz.12533 -
26. Lalli G, Schott JM, Hardy J, Strooper B. Aducanumab: a new phase in therapeutic development for Alzheimer’s disease? EMBO Mol Med. 2021 Aug 9;13(8):e14781. https://doi.org/10.15252/emmm.202114781
» https://doi.org/10.15252/emmm.202114781 -
27. Two-Phase 3 Studies to Evaluate Aducanumab in Patients with early Alzheimer’s disease. https://investors.biogen.com › static-files (accessed in June 2021).
» https://investors.biogen.com -
28. Salloway S, Cummings J. Aducanumab, amyloid lowering, and slowing of Alzheimer Disease. Neurology. 2021 Sep 14;97(11):543-544. https://doi.org/10.1212/wnl.0000000000012451
» https://doi.org/10.1212/wnl.0000000000012451 -
29. Avgerinos KI, Ferrucci L, Kapogiannis D. Effects of monoclonal antibodies against amyloid-B on clinical and biomarker outcomes and adverse event risks: a systematic review and meta-analysis of phase III RCTs in Alzheimer’s disease. Ageing Res Rev. 2021 Jul;68:101339. https://doi.org/10.1016/j.arr.2021.101339
» https://doi.org/10.1016/j.arr.2021.101339 -
30. Cummings J, Aisen P, Apostolova LG, Atri A, Salloway S, Weiner M. Aducanumab: appropriate use recommendations. J Prev Alzheimers Dis. 2021;8(4):398-410. https://doi.org/10.14283/jpad.2021.41
» https://doi.org/10.14283/jpad.2021.41 -
31. Cummings J, Salloway S. Aducanumab: appropriate use recommendations. Alzheimer Dement. 2022 Mar;18(3):531-3. https://doi.org/10.1002/alz.12444
» https://doi.org/10.1002/alz.12444 -
32. Canevelli M, Rossi PD, Astrone P, Consorti E, Vanacore N, Cesari M. “Real world” eligibility for aducanumab. J Am Geriatr Soc. 2021 Oct;69(10):2995-8. https://doi.org/10.1111/jgs.17390
» https://doi.org/10.1111/jgs.17390 -
33. Anderson TS, Ayanian JZ, Souza J, Landon BE. Representativeness of participants eligible to be enrolled in clinical trials of aducanumab for Alzheimer Disease compared with Medicare beneficiaries with Alzheimer Disease and mild cognitive impairment. JAMA. 2021 Oct;326(16):1627-9. https://doi.org/10.1001/jama.2021.15286
» https://doi.org/10.1001/jama.2021.15286 -
34. Lin GA, Whittington MD, Synnott PG, McKenna A, Campbell J, Pearson SD, et al. Aducanumab for Alzheimer’s disease: effectiveness and value; draft evidence report [Internet]. Institute for Clinical and Economic Review; 2021 [cited 2022 Mar 3]. Available from: https://icer.org/wp-content/uploads/2020/10/ICER_ALZ_Draft_Evidence_Report_050521.pdf
» https://icer.org/wp-content/uploads/2020/10/ICER_ALZ_Draft_Evidence_Report_050521.pdf -
35. Swanson CJ, Zhang Y, Dhadda S, Wang J, Kaplow J, Lai RYK, et al. A randomized, double-blind, phase 2b proof-of-concept clinical trial in early Alzheimer’s disease with lecanemab, an anti-AB protofibril antibody. Alzheimers Res Ther. 2021 Apr 17;13(1):80. https://doi.org/10.1186/s13195-021-00813-8
» https://doi.org/10.1186/s13195-021-00813-8 -
36. Pleen J, Townley R. Alzheimer’s disease clinical trial update 2019-2021. J Neurol. 2022 Feb;269(2):1038-51. https://doi.org/10.1007/s00415-021-10790-5
» https://doi.org/10.1007/s00415-021-10790-5 -
37. Ostrowitzki S, Lasser RA, Dorflinger E, Scheltens P, Barkhof F, Nikolcheva T, et al. A phase III randomized trial of gantenerumab in prodromal Alzheimer’s disease. Alzheimers Res Ther. 2017 Dec 8;9(1):95. https://doi.org/10.1186/s13195-017-0318-y
» https://doi.org/10.1186/s13195-017-0318-y -
38. Cummings JL, Cohen S, van Dyck CH, Brody M, Curtis C, Cho W, et al. ABBY - a phase 2 randomized trial of crenezumab in mild to moderate Alzheimer disease. Neurology. 2018 May 22;90(21):e1889-97. https://doi.org/10.1212/wnl.0000000000005550
» https://doi.org/10.1212/wnl.0000000000005550 -
39. Salloway S, Honigberg LA, Cho W, Ward M, Friesenhahn M, Brunsteins F, et al. Amyloid positron emission tomography and cerebrospinal fluid results from a crenezumab anti-amyloid-beta antibody double-blind, placebo-controlled, randomized phase II study in mild to- moderate Alzheimer’s disease (BLAZE). Alzheimers Res Ther. 2018 Sep 19;10(1):96. https://doi.org/10.1186/s13195-018-0424-5
» https://doi.org/10.1186/s13195-018-0424-5 -
40. Roche. https://www.roche.com/investors/updates/inv-update-2019-01-3 (accessed in 12 March 2022)
» https://www.roche.com/investors/updates/inv-update-2019-01-3 -
41. https://www.clinicaltrials.gov accessed 12 March 2022
» https://www.clinicaltrials.gov -
42. Doody RS, Thomas RG, Farlow M, Iwatsubo T, Vellas B, Kieburtz K, et al. Phase 3 trials of solanezumab for mild to-moderate Alzheimer’s disease. N Engl J Med. 2014 Jan 23;370(4):311-21. https://doi.org/10.1056/nejmoa1312889
» https://doi.org/10.1056/nejmoa1312889 -
43. Siemers ER, Sundell KL, Carlson C, Case M, Sethuraman G, Liu-Seifert H, et al. Phase 3 solanezumab trials: secondary outcomes in mild Alzheimer’s disease patients. Alzheimers Dement. 2016 Feb;12(2):110-20. https://doi.org/10.1016/j.jalz.2015.06.1893
» https://doi.org/10.1016/j.jalz.2015.06.1893 -
44. Honig LS, Vellas B, Woodward M, Boada M, Bullock R, Borrie M, et al. Trial of solanezumab for mild dementia due to Alzheimer’s Disease. N Engl J Med. 2018 Jan 25;378(4):321-30. https://doi.org/10.1056/nejmoa1705971
» https://doi.org/10.1056/nejmoa1705971 -
45. Salloway S, Farlow M, McDade E, Clifford DB, Wang G, Llibre-Guerra JJ, et al. A trial of gantenerumab or solanezumab in dominantly inherited Alzheimer’s disease. Nat Med. 2021 Jul; 27(7):1187-96. https://doi.org/10.1038/s41591-021-01369-8
» https://doi.org/10.1038/s41591-021-01369-8 -
46. Fleisher AS, Lowe SL, Liu P, Shcherbinin S, Li L, Chua L, et al. Significant and sustained florbetapirF18 uptake reduction in patients with symptomatic Alzheimer’s disease with LY3002813, a β-amyloid plaque-specific antibody. Alzheimers Dement. 2018;14(7):239-40. https://doi.org/10.1016/j.jalz.2018.06.2378
» https://doi.org/10.1016/j.jalz.2018.06.2378 -
47. Lowe SL, Willis BA, Hawdon A, Natanegara F, Chua L, Foster J, et al. Donanemab (LY3002813) dose-escalation study in Alzheimer’s disease. Alzheimers Dement (N Y). 2021 Feb 14;7(1):e12112. https://doi.org/10.1002/trc2.12112
» https://doi.org/10.1002/trc2.12112 -
48. Panza F, Lozupone M, Logroscino G, Imbimbo BP. A critical appraisal of amyloid-β-targeting therapies for Alzheimer disease. Nat Rev Neurol. 2019 Feb; 15(2):73-88. https://doi.org/10.1038/s41582-018-0116-6
» https://doi.org/10.1038/s41582-018-0116-6 -
49. Braak H, Del Tredici K. The pathological process underlying Alzheimer’s disease in individuals under thirty. Acta Neuropathol. 2011 Feb;121(2):171-81. https://doi.org/10.1007/s00401-010-0789-4
» https://doi.org/10.1007/s00401-010-0789-4 -
50. Knopman DS, Jack CR Jr, Wiste HJ, Weigand SD, Vemuri P, Lowe V, et al. Short- term clinical outcomes for stages of NIA- AA preclinical Alzheimer disease. Neurology. 2012 May 15;78(20):1576-82. https://doi.org/10.1212/wnl.0b013e3182563bbe
» https://doi.org/10.1212/wnl.0b013e3182563bbe -
51. Cubanski J, Neuman T. FDA’s Approval of Biogen’s New Alzheimer’s Drug Has Huge Cost Implications for Medicare and Beneficiaries [Internet]. Kaiser Family Foundation. 2021 [cited 2022 Mar 3]. Available from: https://www.kff.org/medicare/issue-brief/fdas-approval-of-biogens-new-alzheimers-drug-has-huge-cost-implications-for-medicare-and-beneficiaries/
» https://www.kff.org/medicare/issue-brief/fdas-approval-of-biogens-new-alzheimers-drug-has-huge-cost-implications-for-medicare-and-beneficiaries/ -
52. Chiong W, Tolchin BD, Bonnie RJ, Busl K, Cruz-Flores S, Epstein LG, et al. Decisions with Patients and Families Regarding Aducanumab in Alzheimer Disease, With Recommendations for Consent: AAN Position Statement. Neurology. 2022 Jan;98(4):154-159. https://doi.org/10.1212/WNL.0000000000013053
» https://doi.org/10.1212/WNL.0000000000013053
Publication Dates
-
Publication in this collection
12 Aug 2022 -
Date of issue
May 2022
History
-
Received
15 Mar 2022 -
Accepted
29 Apr 2022
