Early Alzheimer's Disease Patients Research Articles

Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease.

Identifying individuals with early-stage Alzheimer's disease (AD) at greater risk of steeper clinical decline would enable better-informed medical, support, and life planning decisions. Despite accumulating evidence on the clinical prognostic value of tau positron emission tomography (PET) in typical late-onset amnestic AD, its utility in predicting clinical decline in individuals with atypical forms of AD remains unclear. Across heterogeneous clinical phenotypes, patients with atypical AD consistently exhibit abnormal tau accumulation in the posterior nodes of the default mode network of the cerebral cortex. This evidence suggests that tau burden in this functional network could be a common imaging biomarker for prognostication across the syndromic spectrum of AD. Here, we examined the relationship between baseline tau PET signal and the rate of subsequent clinical decline in a sample of 48 A+/T+/N+ patients with mild cognitive impairment or mild dementia due to AD with atypical clinical phenotypes: Posterior Cortical Atrophy (n = 16), logopenic variant Primary Progressive Aphasia (n = 15), and amnestic syndrome with multi-domain impairment and young age of onset < 65 years (n = 17). All patients underwent magnetic resonance imaging (MRI), tau PET, and amyloid PET scans at baseline. Each patient's longitudinal clinical decline was assessed by calculating the annualized change in the Clinical Dementia Rating Sum-of-Boxes (CDR-SB) scores from baseline to follow-up (mean time interval = 14.55 ± 3.97 months). Atypical early AD patients showed an increase in CDR-SB by 1.18 ± 1.25 points per year: t(47) = 6.56, p < .001, Cohen's d = 0.95. Across clinical phenotypes, baseline tau in the default mode network was the strongest predictor of clinical decline (R2 = .30), outperforming a simpler model with baseline clinical impairment and demographic variables (R2 = .10), tau in other functional networks (R2 = .11-.26), and the magnitude of cortical atrophy (R2 = .20) and amyloid burden (R2 = .09) in the default mode network. Overall, these findings point to the contribution of default mode network tau to predicting the magnitude of clinical decline in atypical early AD patients one year later. This simple measure could aid the development of a personalized prognostic, monitoring, and treatment plan, which would help clinicians not only predict the natural evolution of the disease but also estimate the effect of disease-modifying therapies on slowing subsequent clinical decline given the patient's tau burden while still early in the disease course.

Memory-related brain potentials for visual objects in early AD show impairment and compensatory mechanisms.

Impaired episodic memory is the primary feature of early Alzheimer's disease (AD), but not all memories are equally affected. Patients with AD and amnestic Mild Cognitive Impairment (aMCI) remember pictures better than words, to a greater extent than healthy elderly. We investigated neural mechanisms for visual object recognition in 30 patients (14AD, 16 aMCI) and 36 cognitively unimpaired healthy (19 in the "preclinical" stage of AD). Event-related brain potentials (ERPs) were recorded while participants performed a visual object recognition task. Hippocampal occupancy (integrity), amyloid (florbetapir) PET, and neuropsychological measures of verbal & visual memory, executive function were also collected. A right-frontal ERP recognition effect (500-700ms post-stimulus) was seen in cognitively unimpaired participants only, and significantly correlated with memory and executive function abilities. A later right-posterior negative ERP effect (700-900ms) correlated with visual memory abilities across participants with low verbal memory ability, and may reflect a compensatory mechanism. A correlation of this retrieval-related negativity with right hippocampal occupancy (r = 0.55), implicates the hippocampus in the engagement of compensatory perceptual retrieval mechanisms. Our results suggest that early AD patients are impaired in goal-directed retrieval processing, but may engage compensatory perceptual mechanisms which rely on hippocampal function.

Regulation of glycolysis-derived L-lactate production in astrocytes rescues the memory deficits and Aβ burden in early Alzheimer’s disease models

Aberrant energy metabolism in the brain is a common pathological feature in the preclinical Alzheimer's Disease (AD). Recent studies have reported the early elevations of glycolysis-involved enzymes in AD brain and cerebrospinal fluid according to a large-scale proteomic analysis. It’s well-known that astrocytes exhibit strong glycolytic metabolic ability and play a key role in the regulation of brain homeostasis. However, its relationship with glycolytic changes and cognitive deficits in early AD patients is unclear. Here, we investigated the mechanisms by which astrocyte glycolysis is involved in early AD and its potential as a therapeutic target. Our results suggest that Aβ-activated microglia can induce glycolytic-enhanced astrocytes in vitro, and that these processes are dependent on the activation of the AKT-mTOR-HIF-1α pathway. In early AD models, the increase in L-lactate produced by enhanced glycolysis of astrocytes leads to spatial cognitive impairment by disrupting synaptic plasticity and accelerating Aβ aggregation. Furthermore, we find rapamycin, the mTOR inhibitor, can rescue the impaired spatial memory and Aβ burden by inhibiting the glycolysis-derived L-lactate in the early AD models. In conclusion, we highlight that astrocytic glycolysis plays a critical role in the early onset of AD and that the modulation of glycolysis-derived L-lactate by rapamycin provides a new strategy for the treatment of AD.

MRNA Vaccine for Alzheimer's Disease: Pilot Study.

The escalating global healthcare challenge posed by Alzheimer's Disease (AD) and compounded by the lack of effective treatments emphasizes the urgent need for innovative approaches to combat this devastating disease. Currently, passive and active immunotherapies remain the most promising strategy for AD. FDA-approved lecanemab significantly reduces Aβ aggregates from the brains of early AD patients administered biweekly with this humanized monoclonal antibody. Although the clinical benefits noted in these trials have been modest, researchers have emphasized the importance of preventive immunotherapy. Importantly, data from immunotherapy studies have shown that antibody concentrations in the periphery of vaccinated people should be sufficient for targeting Aβ in the CNS. To generate relatively high concentrations of antibodies in vaccinated people at risk of AD, we generated a universal vaccine platform, MultiTEP, and, based on it, developed a DNA vaccine, AV-1959D, targeting pathological Aβ, completed IND enabling studies, and initiated a Phase I clinical trial with early AD volunteers. Our current pilot study combined our advanced MultiTEP technology with a novel mRNA approach to develop an mRNA vaccine encapsulated in lipid-based nanoparticles (LNPs), AV-1959LR. Here, we report our initial findings on the immunogenicity of 1959LR in mice and non-human primates, comparing it with the immunogenicity of its DNA counterpart, AV-1959D.

Relationship between Plasma Lipid Profile and Cognitive Status in Early Alzheimer Disease.

Alzheimer disease (AD) is a heterogeneous and complex disease in which different pathophysiological mechanisms are involved. This heterogenicity can be reflected in different atrophy patterns or clinical manifestations. Regarding biochemical pathways involved in early AD, lipid metabolism plays an important role; therefore, lipid levels have been evaluated as potential AD diagnosis biomarkers, and their levels could be related to different AD clinical manifestations. Therefore, the aim of this work is to study AD lipid profiles from early AD patients and evaluate their clinical significance. For this purpose, untargeted plasma lipidomic analysis was carried out in early AD patients (n = 31) diagnosed with cerebrospinal fluid (CSF) biomarkers. Cluster analysis was carried out to define early AD subgroups according to the lipid levels. Then, the clinical significance of each lipid profile subgroup was studied, analyzing differences for other variables (cognitive status, CSF biomarkers, medication, comorbidities, age, and gender). The cluster analysis revealed two different groups of AD patients. Cluster 1 showed higher levels of plasma lipids and better cognitive status than Cluster 2. However, no differences were found for the other variables (age, gender, medication, comorbidities, cholesterol, and triglycerides levels) between both groups. Plasma lipid levels could differentiate two early AD subgroups, which showed different cognitive statuses. However, further research with a large cohort and longitudinal study evaluating the clinical evolution of these patients is required. In general, it would involve a relevant advance in the knowledge of AD pathological mechanisms, potential treatments, and precision medicine.

Optimal treatment conditions for low-intensity pulsed ultrasound therapy for Alzheimer’s disease: applications from mice to humans

PurposeWe previously developed a novel therapy with low-intensity pulsed ultrasound (LIPUS) that ameliorates cognitive decline through upregulation of endothelial nitric oxide synthase (eNOS) in mouse models of Alzheimer’s disease (AD). In a randomized, double-blind, placebo-controlled pilot trial, we demonstrated that whole-brain LIPUS therapy is safe and tends to suppress the cognitive decline in early AD patients. We herein report the findings of our basic experiments that we performed for the pilot trial in order to apply whole-brain LIPUS therapy to humans, as well.MethodsFirst, we examined the relationship between bone density/thickness and ultrasound transmittance using human temporal bone. Next, based on the results of ultrasound transmittance, we further examined mRNA expression of VEGF, FGF2, and eNOS in response to variable ultrasound frequencies, duty cycles, and sound pressures.ResultsThere was a significant correlation between bone thickness and transmittance (1.0 MHz, P < 0.001), while there was no significant correlation between bone density and transmittance (1.0 MHz, P = 0.421). At a frequency of 0.5 MHz, the optimum duty cycle was considered to be up to 20%. When the tissue amplitude was in the range of 0.05–0.5 MPa, VEGF, FGF2, and eNOS were significantly upregulated by LIPUS. Thus, the conditions necessary for LIPUS therapy for the human brain were identified as sound pressure just below the probe 1.3 MPa (tissue amplitude 0.15 MPa), duty cycle 5%, and frequency 0.5 MHz.ConclusionWe successfully identified the optimal treatment conditions for LIPUS therapy for patients with AD.

Cortical lipid metabolic pathway alteration of early Alzheimer’s disease and candidate drugs screen

BackgroundLipid metabolism changes occur in early Alzheimer's disease (AD) patients. Yet little is known about metabolic gene changes in early AD cortex.MethodsThe lipid metabolic genes selected from two datasets (GSE39420 and GSE118553) were analyzed with enrichment analysis. Protein–protein interaction network construction and correlation analyses were used to screen core genes. Literature analysis and molecular docking were applied to explore potential therapeutic drugs.Results60 lipid metabolic genes differentially expressed in early AD patients’ cortex were screened. Bioinformatics analyses revealed that up-regulated genes were mainly focused on mitochondrial fatty acid oxidation and mediating the activation of long-chain fatty acids, phosphoproteins, and cholesterol metabolism. Down-regulated genes were mainly focused on lipid transport, carboxylic acid metabolic process, and neuron apoptotic process. Literature reviews and molecular docking results indicated that ACSL1, ACSBG2, ACAA2, FABP3, ALDH5A1, and FFAR4 were core targets for lipid metabolism disorder and had a high binding affinity with compounds including adenosine phosphate, oxidized Photinus luciferin, BMS-488043, and candidate therapeutic drugs especially bisphenol A, benzo(a)pyrene, ethinyl estradiol.ConclusionsAD cortical lipid metabolism disorder was associated with the dysregulation of the PPAR signaling pathway, glycerophospholipid metabolism, adipocytokine signaling pathway, fatty acid biosynthesis, fatty acid degradation, ferroptosis, biosynthesis of unsaturated fatty acids, and fatty acid elongation. Candidate drugs including bisphenol A, benzo(a)pyrene, ethinyl estradiol, and active compounds including adenosine phosphate, oxidized Photinus luciferin, and BMS-488043 have potential therapeutic effects on cortical lipid metabolism disorder of early AD.

Comparison of 18F-FDG PET and arterial spin labeling MRI in evaluating Alzheimer’s disease and amnestic mild cognitive impairment using integrated PET/MR

BackgroundDeveloping biomarkers for early stage AD patients is crucial. Glucose metabolism measured by 18F-FDG PET is the most common biomarker for evaluating cellular energy metabolism to diagnose AD. Arterial spin labeling (ASL) MRI can potentially provide comparable diagnostic information to 18F-FDG PET in patients with neurodegenerative disorders. However, the conclusions about the diagnostic performance of AD are still controversial between 18F-FDG PET and ASL. This study aims to compare quantitative cerebral blood flow (CBF) and glucose metabolism measured by 18F-FDG PET diagnostic values in patients with Alzheimer’s disease (AD) and amnestic mild cognitive impairment (aMCI) using integrated PET/MR.ResultsAnalyses revealed overlapping between decreased regional rCBF and 18F-FDG PET SUVR in patients with AD compared with NC participants in the bilateral parietotemporal regions, frontal cortex, and cingulate cortex. Compared with NC participants, patients with aMCI exclusively demonstrated lower 18F-FDG PET SUVR in the bilateral temporal cortex, insula cortex, and inferior frontal cortex. Comparison of the rCBF in patients with aMCI and NC participants revealed no significant difference (P > 0.05). The ROC analysis of rCBF in the meta-ROI could diagnose patients with AD (AUC, 0.87) but not aMCI (AUC, 0.61). The specificity of diagnosing aMCI has been improved to 75.56% when combining rCBF and 18F-FDG PET SUVR.ConclusionASL could detect similar aberrant patterns of abnormalities compared to 18F-FDG PET in patients with AD compared with NC participants but not in aMCI. The diagnostic efficiency of 18F-FDG-PET for AD and aMCI patients remained higher to ASL. Our findings support that applying 18F-FDG PET may be preferable for diagnosing AD and aMCI.

The Experience of Being Diagnosed with Alzheimer’s Disease

Rationale and Aims: In research on Alzheimer’s disease (AD), the personal experience of individuals receiving this diagnosis is rarely the subject of research. Rather, the focus is restricted to the clinical symptoms and biological changes. Symptoms of AD are mainly reported by caregivers and rarely by the patients themselves, as they are deemed unreliable due to their memory problems. However, incorporating the voice of patients can improve the design of research projects and make the findings more relevant and meaningful. This could ultimately lead to improved and more personalized care for patients and their families. The aim of this study was to evaluate and quantify the personal experiences of individuals receiving a diagnosis of AD. Methods: A total of 50 patients with newly diagnosed (3–14 months) AD and 50 relatives (1:1) participated. All participants answered a number of questionnaires, including the Alzheimer Dementia Crossroad Questionnaire (ADCQ), which is a novel questionnaire designed to evaluate their perception on how much the disease affected their daily lives. The ADCQ was also administered to their relatives, to assess how they perceived the disease was affecting the patient. Results: Compared with their relatives, the patients were significantly more indifferent towards the diagnosis of AD and its importance/impact on their life (p &lt; 0.001). The patients also estimated their own abilities in daily life to be better, compared with how their abilities were assessed by their relatives. Interpretation: This study suggests that early AD patients experience serenity in relation to their situation. There are probably many potential reasons for this outcome. Individuals with AD diagnosis may have lost insight into their situation and abilities. The relatives might also underestimate the AD individual’s abilities. Irrespective of what might explain this outcome, this study highlights how differently an AD diagnosis affects patients and caregivers. Larger studies are needed to confirm these findings and further validate the ADCQ.

Altered cerebrovascular-CSF coupling in Alzheimer’s Disease measured by functional near-infrared spectroscopy

In-vivo microscopical studies indicate that brain cerebrospinal fluid (CSF) transport driven by blood vessel pulsations is reduced in the early stages of Alzheimer’s disease (AD). We hypothesized that the coupling pattern between cerebrovascular pulsations and CSF is altered in AD, and this can be measured using multi-wavelength functional near-infrared spectroscopy (fNIRS). To study this, we quantified simultaneously cerebral hemo- and CSF hydrodynamics in early AD patients and age-matched healthy controls. Physiological pulsations were analysed in the vasomotor very low frequency (VLF 0.008–0.1 Hz), respiratory (Resp. 0.1–0.6 Hz), and cardiac (Card. 0.6–5 Hz) bands. A sliding time window cross-correlation approach was used to estimate the temporal stability of the cerebrovascular-CSF coupling. We investigated how the lag time series variation of the coupling differs between AD patients and control. The couplings involving deoxyhemoglobin (HbR) and CSF water, along with their first derivative, in the cardiac band demonstrated significant difference between AD patients and controls. Furthermore, the lag time series variation of HbR-CSF in the cardiac band provided a significant relationship, p-value = 0.04 and r2 = 0.16, with the mini-mental state exam (MMSE) score. In conclusion, the coupling pattern between hemodynamics and CSF is reduced in AD and it correlates with MMSE score.

Novel Pathogenic Mechanism of Late-onset Alzheimer's Disease by Deficiency of NMDA Receptor Subunit GluN3A

Late-onset Alzheimer’s disease (AD) and related dementia (ADRD) are serious neurodegenerative disorders among aging populations. The progress of AD/ADRD cultivates over years to decades in humans and several months in animal models. Ca&lt;sup&gt;2+&lt;/sup&gt; homeostasis is a core function of neurons where the N-methyl-D-aspartate (NMDA) receptor plays a major role in excitatory neuronal activities. The Ca&lt;sup&gt;2+&lt;/sup&gt; hypothesis of AD proposes that even slight but sustained Ca&lt;sup&gt;2+&lt;/sup&gt; dyshomeostasis in the brain is a critical pathophysiology or pathogenesis of AD. However, instigating factors like the trigger and time/duration of the Ca&lt;sup&gt;2+&lt;/sup&gt; dysregulation in AD progression have been largely obscure, while β-amyloid (Aβ) peptides are often indicated as the trigger. Hyperactivities of excitatory neurons and NMDARs have been implicated in AD as a main mediating mechanism caused by AD pathologies such as Aβ deposition. NMDAR overactivation is restrained by the unique regulatory GluN3 subunits (GluN3A and GluN3B; previously known as NR3A and NR3B). Expression of GluN3A in the receptor complex reduces NMDAR currents and Ca&lt;sup&gt;2+&lt;/sup&gt; influx, while deletion of GluN3A causes larger NMDA currents and elevated intracellular Ca&lt;sup&gt;2+&lt;/sup&gt;. Significant GluN3A levels are detected in both rodent and human adult/aging brains. We hypothesized that the “gatekeeper” role of GluN3A is constantly required for Ca&lt;sup&gt;2+&lt;/sup&gt; homeostasis and normal aging; its deficiency can lead to slowly evolved “degenerative excitotoxicity”. Our in vitro, ex vivo, and in vivo studies using GluN3A knockout (KO) mice of young and older ages revealed neuronal hyperactivity, moderate but sustained elevation of cytosolic Ca&lt;sup&gt;2+&lt;/sup&gt;, chronic inflammation, neuronal loss/apoptosis, synaptic impairments and progressive cognitive deficits. The AD hallmarks of Aβ and tau pathology were identified after, but not before, cognition decline. In the “gain of function” experiment, expression of GluN3A in the GluN3A KO brain prevented AD progression. Specific regional knockdown of GluN3A in the cortex and hippocampus of wild-type mice at the adult age (3 months old) resulted in similar AD/ADRD phenotypic alterations in the following 3-6 months. The NMDAR antagonist memantine (MEM) is approved by FDA as a symptomatic treatment for moderate-severe AD patients. According to the chronic neurohyperactivity in AD progression and the modified Ca&lt;sup&gt;2+&lt;/sup&gt; hypothesis that Ca&lt;sup&gt;2+&lt;/sup&gt; dysregulation is an early and “life-long” pathogenesis, the maintenance of NMDAR normal activity by MEM or other safe NMDAR antagonists could be a disease-modifying early treatment in preclinical/prodromal stages. This prediction is endorsed by clinical trials using MEM and other NMDAR antagonists in mild cognitive impairment (MCI) and early AD patients, showing beneficial effects of maintaining cognitive functions. Consistently, we showed that, in GluN3A KO mice and 5xFAD mice, early and chronic MEM treatment (started at 3-month of age and lasted for 3-6 months) prevented or attenuated AD phenotypes. Meanwhile, the chronic MEM therapy in mice showed preconditioning effect of neuroprotection against ischemic stroke that strikes over 50% AD patients. Large clinical trials of long-term and more systematic examinations on AD/ADRD progression and the comorbidity of stroke are warranted for this innovative therapy. Our results support the modification of Ca&lt;sup&gt;2+&lt;/sup&gt; hypothesis of AD with the novel amyloid-independent mechanism. Specifically, the deficiency of GluN3A alone causes lifelong Ca&lt;sup&gt;2+&lt;/sup&gt;-related progression of AD pathophysiology and amyloid pathology. The long-term GluN3A modulation of NMDARs signifies new therapeutic targets and possible preventive interventions for late-onset AD/ ADRD.

Predicting clinical progression trajectories of early Alzheimer's disease patients.

Models for forecasting individual clinical progression trajectories in early Alzheimer's disease (AD) are needed for optimizing clinical studies and patient monitoring. Prediction models were constructed using a clinical trial training cohort (TC; n=934) via a gradient boosting algorithm and then evaluated in two validation cohorts (VC 1, n=235; VC 2, n=421). Model inputs included baseline clinical features (cognitive function assessments, APOE ε4 status, and demographics) and brain magnetic resonance imaging (MRI) measures. The model using clinical features achieved R2 of 0.21 and 0.31 for predicting 2-year cognitive decline in VC 1 and VC 2, respectively. Adding MRI features improved the R2 to 0.29 in VC 1, which employed the same preprocessing pipeline as the TC. Utilizing these model-based predictions for clinical trial enrichment reduced the required sample size by 20% to 49%. Our validated prediction models enable baseline prediction of clinical progression trajectories in early AD, benefiting clinical trial enrichment and various applications.

A PROSPECTIVE STUDY OF ALZHEIMER’S DISEASE DIAGNOSIS AND PROGNOSIS (VALCODIS COHORT)

AbstractBackgroundThe Valencian Cognitive Diseases Study (VALCODIS) provides a large cohort of cases suffering from neurodegenerative diseases causing cognitive problems in their initial phases. This cohort is being obtained from admitted patients at Cognitive Disorders Unit Hospital Universitari i Politècnic La Fe (Valencia, Spain), as a basis to contribute on the Alzheimer’s disease (AD) diagnosis and prognosis research.MethodPatients who come to the Cognitive Disorders Unit at Neurology Department of Hospital La Fe can be recruited to the VALCODIS cohort after their informed consent have been obtained. Patients with moderate and severe dementia are not proposed to participate. Included patients were studied with standard analytical and neuroimaging procedures, commonly brain MR, and CSF biomarkers determination (β‐amyloid‐42, β‐amyloid‐40, p‐Tau, t‐Tau, neurofilament light chain). Patients on anticoagulation, other contraindications or not suitable for LP can be included if an amyloid brain PET can be obtained. In some patients, brain PET with FDG is also obtained. After amyloid status is assured, a detailed neuropsychological evaluation is obtained in every patient using at least MMSE, CDR, RBANS and GDS scales. Finally, blood samples were taken to determine some potential biomarkers (lipid peroxidation, lipids, proteins, microRNAs) and stored simultaneously with CSF samples.ResultA total of 1100 participants aged 50 to 80 years, who were on follow up from January 2017 to August 2022 have been included in the VALCODIS cohort. This cohort is composed by early AD patients (mild cognitive impairment (MCI), mild dementia), other dementias in their initial phases (frontotemporal dementia, Lewy body dementia, vascular dementia) and cognitively healthy persons. Also, some of MCI‐AD patients were followed‐up at 2 years to carry out a prognosis study, by means of neuropsychological evaluation and blood biomarkers.ConclusionThe VALCODIS cohort represents a valuable infrastructure describing 6‐year experience about early and specific AD diagnosis, and prognosis. This cohort will provide a large number of patients, biologically diagnosed by CSF biomarkers, as well as their demographical, clinical and biochemical data. In addition, the biological samples (blood, plasma, urine, saliva, CSF) were stored to carry out further biomarkers studies.

Circulating cell‐free mitochondrial DNA (ccf‐mtDNA) and memory in mild cognitive impairment (MCI) and Alzheimer’s disease (AD)

AbstractBackgroundCirculating cell‐free mitochondrial DNA (ccf‐mtDNA), a measure of mitochondrial dysfunction, is emerging as a potential biomarker for early Alzheimer’s disease (AD). Decreased levels of cerebrospinal fluid ccf‐mtDNA concentrations have been detected in early AD patients. Few studies have investigated peripheral ccf‐mtDNA in early AD or with cognitive measures, much less evaluating the role of physical activity within the relationships. Considering the hallmark of episodic memory impairment in early AD, we examined the association between serum ccf‐mtDNA and memory, while considering potential contributing factors, physical activity level and age.MethodsParticipants were diagnosed with mild cognitive impairment (MCI) or mild AD using the Diagnostic and Statistical Manual of Mental Disorders criteria for mild or major neurocognitive disorder. Serum ccf‐mtDNA concentration (copies/uL) was measured using quantitative polymerase chain reaction from circulating cell free DNA purified by spin columns with primer for the MT‐ND4 gene. Memory was assessed using the Word Recall Task from the Alzheimer’s Disease Assessment Scale‐Cog (ADAS‐Cog). Physical activity level was assessed by Leisure‐Time Exercise Questionnaire (LTEQ). Linear regression analyses were used to assess the association between ccf‐mtDNA levels and recall memory with a priori covariates, age and LTEQ score. Ccf‐mtDNA levels were log‐transformed prior to analyses due to significant departure from normality in Shapiro‐Wilk tests.ResultsOf 29 participants [17 (59%) male, 21 (72%) MCI], the mean (SD) age was 74.2 (8.7), years of education was 16.2 (2.2), Montreal Cognitive Assessment (MoCA) total score was 22.1 (3.3), LTEQ score was 36.2 (17.4), and ccf‐mtDNA levels were 2545.8 (2223.6) copies/uL. Higher ccf‐mtDNA was associated with worse recall [F(3,25) = 5.21, R2 = .39, p = .006]. Controlling for LTEQ and age, one log ccf‐mtDNA unit was associated with 1.87 (SE = .71) fewer words recalled (p = .01, f2 = .21).ConclusionIn this sample, higher serum ccf‐mtDNA concentrations were associated with worse recall, controlling for age and physical activity level. This relationship supports the potential involvement of mitochondrial dysfunction in cognitive functions and neurodegenerative diseases and suggest the need for further research to explore the role of physical activity and age with mitochondrial dysfunction and memory.

Alzheimer’s Disease mechanistic pathways were discovered through in silico experiments in causal AI based digital twins

AbstractBackgroundBeyond a single‐gene‐based approach, pathway‐based approaches have become important in drug development paradigm. Several pathways are known for the pathogenesis of Alzheimer’s disease (AD), but these may be from animal studies or observational human subject studies. Here, we focus on identification of gene pathways with direct causal relationships to AD through Gemini Digital Twins of AD patients.MethodTwo independent and complementary AD Digital Twins were built using an A.I. platform REFSTM [aitiabio.com], based on Bayesian network models of ADNI and ANMerge consortium data which reverse‐engineered the connectivity of ∼59K and ∼35K multi‐modal variables and a wide range of AD‐related outcomes (cognitive, imaging and biomarker) profiled from 317 subjects (Control:MCI:Dementia = 97:191:29) and 199 subjects (Control:MCI:Dementia = 65:63:71), respectively [Fig1]. The average causal effect of each gene (at the blood gene expression level) on each outcome was estimated through in silico counterfactual experiments. Pathway enrichment analyses were performed on metascape.org.ResultWe identified a total of 573 and 300 AD‐driver‐genes from ADNI‐ and ANMerge‐based Digital Twins, of which 41 overlapped (significance‐of‐overlap = 6e‐15). These 41 robustly validated genes, of which 61% were identified by the network as causal mediators of APOE4 genotype, were enriched in several biological processes known for AD such as ‘regulation of RNA splicing’ and ‘macrophage activation’ [Fig2]. The AD‐driver‐genes were also enriched in other interesting pathways in both Digital Twins, such as ‘immune response’ and ‘oxidative stress’. Furthermore, the ADNI‐specific AD‐driver‐genes, representing a sample population with a higher proportion of MCI patients, were related to additional processes such as ‘mitochondrial respiration’ and ‘ribosomal sub‐complexes pathways’, previously known to be involved specifically in early stage AD.ConclusionWe prioritized several AD‐related pathways for potential drug development identified from causal driver genes discovered and validated in two independent Digital Twins. Some of these pathways are more related to proteopathic biochemical phase of AD, rather than cellular phase, suggesting an area of a potential early intervention. Investigating causal genes from two complementary consortium studies with a different proportion of early vs. late stage AD patients may be a promising approach to identify disease‐stage‐specific and disease‐stage‐common signatures in the pathway‐based drug discovery efforts.

Head‐to‐head comparison of CSF AD biomarker assays: fully‐automated high‐throughput platforms (ECLIA and CLEIA) vs ELISA

AbstractBackgroundBiomarkers in cerebrospinal fluid (CSF) can help to diagnose Alzheimer’s disease (AD) and classify patients according to the amyloid/tau/neurodegeneration (ATN) research framework.MethodWe directly compared the performance of three different testing systems, i..e. traditional solid‐phase sandwich ELISA assays (Innotest®, Fujirebio Europe N.V., Gent, Belgium, and IBL, Minneapolis, USA), a fully automated electrochemiluminescence immunoassays (ECLIA) platform (Elecsys® CSF assays measured on the cobas e 411 analyzer, Roche Diagnostics International Ltd, Rotkreuz, Switzerland), and a fully automated chemiluminescent enzyme immunoassays (CLEIA) platform (Lumipulse® G600II, Fujirebio Europe N.V., Gent, Belgium), in 50 early AD patients (64±8.1y) and 25 cognitively unimpaired (CU) controls (65±9.4y)] from the same cohort. Individual CSF biomarkers Aβ42, Aβ40, pTau181 and tTau were measured using all systems. Ratios for pTau181/Aβ42, tTau/Aβ42, Aβ42/Aβ40, pTau181/Aβ42/Aβ40, tTau/Aβ42/Aβ40, pTau181/Aβ40, and tTau/Aβ40 were calculated.ResultAcross all systems, biomarkers and their ratios accurately distinguished AD patients from CU in a comparable manner: ROC: AUCs &gt;0.96 (upper bound of CI:1.0)], except for ELISA Aβ42/Aβ40 [AUC = 0.948 (CI: 0.901‐0.995)]; according to Youden Index (YI)‐derived optimal cut‐offs, sensitivity and specificity were comparably high. YI cut‐offs and manufacturer (MA) cut‐offs were highly consistent. However, for the ECLIA platform (Elecsys®), the YI cut‐off led to significantly higher sensitivity for tTau (97.8% [0.88‐1.00%]/ 80.9%) and pTau181 (97.8% [0.88‐1.00%]/ 83.0%), and higher specificity for Aβ42 (96.0% [79‐100%]/ 76.0%), than MA cut‐off, maybe due to high prevalence of AD. The two fully automated platforms showed markedly reduced maximal coefficients of variation (CV) than ELISA.ConclusionIn addition to increased time efficiency, fully automated platforms showed more consistent results than ELISA assays which favor single analyte measurements. Improved accuracy using YI cut‐offs suggests that in‐house cut‐offs might be important for optimal performance. The two fully automated platforms had comparable accuracy. Thus, the platform of choice might depend on the user’s needs; for instance, the pTau181/Aβ42 ratio (Elecsys®; (AUC: 1.0 [1.0‐1.0], sensitivity 100%, specificity 100%)) combines the two AD hallmarks (A and T) in one test. For ATN classification, the Aβ42/Aβ40 ratio (Lumipulse®, AUC: 1.0 [1.0‐1.0], sensitivity 100%, specificity 100%) might be a more accurate marker for amyloid positivity (A+) than Aβ42 alone.

Modernizing AD clinical trials: why are we designing studies for disease modifying treatments using the symptomatic treatment paradigm?

AbstractBackgroundUntil the accelerated approvals of aducanumab and lecanemab, the only approved drugs for Alzheimer’s disease (AD) were symptomatic treatments, which showed relatively large improvements but did not alter disease progression. Multiple decades of designing and analyzing trials for symptomatic treatments have optimized the process for acetyl cholinesterase inhibitors and NMDA receptor antagonists, but this paradigm is not optimal for disease‐modifying therapies. As the AD research community continues to transition towards treatments with the potential to alter disease progression, significant course corrections in the design and analysis of clinical trials are required to ensure that treatments with the largest potential for impact do not fail because they’re being evaluated out of context.MethodSeveral design aspects from AD clinical trials are evaluated in the context of disease‐modifying treatments, including the expected effect size, patient population, outcomes, multiplicity adjustments, trial duration, use of biomarkers, and timing of visits. We use publicly available trial results to demonstrate that both the clinical trial process and public interpretation of data will result in costly losses unless significant improvements are accepted and implementedResultIn the context of donepezil’s expected 3‐point change on ADAS‐cog over 6 months, the results for lecanemab (1.5 points over 18 months) seem small, yet lecanemab improvements can be reasonably expected to match donepezil after three years of treatment and continue to increase. Symptomatic treatments were required to demonstrate significant improvement on multiple outcomes, but disease‐modifying treatments should address the underlying disease process. Trials of aducanumab, donanemab, and lecanemab show consistent disease modification of 5 to 6 months less progression over 18 months when outcomes are converted to units of time and combined. This time‐converted composite (which may include biomarkers) can show consistent results earlier in the disease course, allowing prodromal and early AD patients to be studied with greater success.ConclusionThe current message sent by recent approvals is that only sponsors with resources to field clinical trials with thousands of patients have a chance of gaining regulatory approval. By modernizing clinical trials, more sponsors will have a better chance of success, meaning better treatments available to more patients sooner.

Tracking the progression of Alzheimer's disease: Insights from metabolic patterns of SOMI stages

BackgroundSOMI (Stages of Objective Memory Impairment) is a novel classification that identifies six stages of memory decline in Alzheimer's Disease (AD) using the Free and Cued Selective Reminding Test (FCSRT). However, the relationship between SOMI stages and brain metabolism remains unexplored. This study aims to investigate the metabolic correlates of SOMI stages using FDG-PET in Mild Cognitive Impairment due to AD (MCI-AD) and early AD patients. MethodsOne hundred twenty-nine-patients (99 aMCI-AD and 30 AD), and 42 healthy controls (HCs) (MMSE = 29.2 ± .8; age:69.1 ± 8.6 years; education:10.7 ± 3.8 years) who underwent an extensive neuropsychological battery including FCSRT and brain FDG-PET were enrolled. According to their clinical relevance and available sample sizes, SOMI-4 (N = 24 subjects; MMSE score:26.6 ± 2.6: age:75.4 ± 3.2; education:9.9 ± 4.5) and SOMI-5 groups (N = 97; MMSE:25.3 ± 2.6; age:73.9 ± 5.8; education:9.4 ± 4.1) were investigated. ResultsCompared to HCs, SOMI-4 showed hypometabolism in the precuneus, medial temporal gyrus bilaterally, right pecuneus and angular gyrus. SOMI-5 exhibited broader hypometabolism, extending to the left posterior cingulate and medial frontal gyrus bilaterally. The conjunction analysis revealed overlapping areas in the precuneus, medial temporal gyrus bilaterally, and in the right angular gyrus and cuneus. The disjunction analysis identified SOMI-5 specific hypometabolism encompassing left inferior temporal gyrus, uncus and parahippocampal gyrus, and medial frontal gyrus bilaterally (p < .001, p-value (FWE) < .05). DiscussionSOMI-4 relates to posterior hypometabolism, while SOMI-5 to more extensive hypometabolism further encompassing frontal cortices, suggesting SOMI as a biologically relevant classification system of memory decline. ConclusionMemory decline staged with SOMI is associated with hypometabolism spreading in amnesic MCI-AD/AD, suggesting its usefulness as a clinical marker of increasing neurodegeneration.

Effects of the multidomain intervention with nutritional supplements on cognition and gut microbiome in early symptomatic Alzheimer's disease: a randomized controlled trial.

The SoUth Korean study to PrEvent cognitive impaiRment and protect BRAIN health through lifestyle intervention in at-risk elderly people (SUPERBRAIN) is a part of the World-Wide Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (WW-FINGERS) network. This study aimed to demonstrate the effects of the SUPERBRAIN-based multidomain intervention with nutritional supplements in amyloid positive emission tomography (PET) proven early symptomatic Alzheimer's disease patients. Forty-six participants who were diagnosed with mild cognitive impairment or mild dementia and were positive in the amyloid PET study randomized into three groups: group A, the multidomain intervention with nutritional supplements; group B, nutritional supplements only; and a control group. The primary outcome was a change in the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) total scale index score after an 8-week intervention. Secondary outcomes, including gut microbiome data, were also analyzed. The RBANS total scale index score improved significantly in group A compared with group B (p < 0.032) and compared with the control group (p < 0.001). After intervention, beta diversity of the gut microbiome between group A and the control group increased, and patients in group A were more enriched with Bifidobacterium. SUPERBRAIN-based multidomain intervention with nutritional supplements improves cognition and gut microbiota in patients with early symptomatic Alzheimer's disease who were amyloid-positive by PET.

Assessment of COVID-19 lockdown effect on early Alzheimer Disease progression.

Recently, many aspects of daily life have changed due to the COVID-19 pandemic. Patients with Alzheimer Disease (AD) could be more vulnerable to those daily life changes as experts expected. Mainly, the lockdown involved reduced social contact and cognitive stimulation. So, it could affect the AD expression, increasing the patients' disabilities development. The aim of this study is to evaluate the effect of COVID-19 lockdown on cognitive impairment progression in early AD patients. The participants were patients with mild cognitive impairment due to AD (MCI-AD) from the Neurology Unit (La Fe Hospital), who were neuropsychologically evaluated (cognitive impairment, daily activity tests) twice over 2 years. They were classified into a case group (n = 21), evaluated before and after lockdown condition, and a control group (n = 20), evaluated entirely before the lockdown condition. All the participants showed increasing cognitive impairment and functional deterioration over the 2-year period of evaluation (p < 0.05). However, a faster worsening was not observed as a consequence of the COVID-19 pandemic and the lockdown condition. In fact, the statistical significance observed between the two study groups for daily life activities showed that the worsening was even lesser in the group evaluated under the lockdown condition. Medium-term effects of COVID-19 lockdown could not involve an acceleration of the cognitive decline in MCI-AD patients in a 2-year evaluation period. In addition, the least worsening observed for daily living activities in the case group was probably due to the change in routines. Therefore, the common assumption of cognitive worsening of AD progression due to the lockdown in comparison with normal disease progression was not demonstrated in this study, at least for MCI-AD cases. However, more longitudinal studies are required to evaluate long-term effects in these patients.