Publications by authors named "Randall Bateman"

Introduction: Alzheimer disease (AD)-modifying therapies are approved for treatment of early-symptomatic AD. Autosomal dominant AD (ADAD) provides a unique opportunity to test therapies in presymptomatic individuals.

Methods: Using data from the Dominantly Inherited Alzheimer Network (DIAN), sample sizes for clinical trials were estimated for various cognitive, imaging, and CSF outcomes.

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Measurement burst designs typically administer brief cognitive tests four times per day for 1 week, resulting in a maximum of 28 data points per week per test for every 6 months. In Alzheimer's disease clinical trials, utilizing measurement burst designs holds great promise for boosting statistical power by collecting huge amount of data. However, appropriate methods for analyzing these complex datasets are not well investigated.

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Disease-modifying therapies for Alzheimer's disease (AD) are likely to be most beneficial when initiated in the presymptomatic phase. To track the benefit of such interventions, fluid biomarkers are of great importance, with neurofilament light chain protein (NfL) showing promise for monitoring neurodegeneration and predicting cognitive outcomes. Here, we update and complement previous findings from the Dominantly Inherited Alzheimer Network Observational Study by using matched cross-sectional and longitudinal cerebrospinal fluid (CSF) and plasma samples from 567 individuals, allowing timely comparative analyses of CSF and blood trajectories across the entire disease spectrum.

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Decades of research have provided evidence that Alzheimer's disease (AD) is caused in part by cerebral accumulation of amyloid beta-protein (Aβ). In 2023, the US Food and Drug Administration gave full regulatory approval to a disease-modifying Aβ antibody for early AD. Secondary prevention trials with Aβ antibodies are underway.

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Plasma phosphorylated-tau 217 (p-tau217) is currently the most promising biomarker for reliable detection of Alzheimer's disease (AD) pathology. Various p-tau217 assays have been developed, but their relative performance is unclear. We compared key plasma p-tau217 tests using cross-sectional and longitudinal measures of amyloid-β (Aβ)-PET, tau-PET, and cognition as outcomes, and benchmarked them against cerebrospinal fluid (CSF) biomarker tests.

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Article Synopsis
  • * In Alzheimer's disease, these networks become more chaotic, as indicated by a drop in the small-world coefficient, a change linked to cognitive decline throughout the disease's progression.
  • * Our study examined the relationship between 10 cerebrospinal fluid protein biomarkers and small-world coefficients in Alzheimer's mutation carriers and non-carriers, finding that certain protein abnormalities indicate early changes in grey matter networks, while markers for inflammation and axonal injury correlate with declining small-world values.
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In this high-throughput proteomic study of autosomal dominant Alzheimer's disease (ADAD), we sought to identify early biomarkers in cerebrospinal fluid (CSF) for disease monitoring and treatment strategies. We examined CSF proteins in 286 mutation carriers (MCs) and 177 non-carriers (NCs). The developed multi-layer regression model distinguished proteins with different pseudo-trajectories between these groups.

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Introduction: We investigated longitudinal associations between self-reported exercise and Alzheimer's disease (AD)-related biomarkers in individuals with autosomal dominant AD (ADAD) mutations.

Methods: Participants were 308 ADAD mutation carriers aged 39.7 ± 10.

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Article Synopsis
  • The study examines the link between protective lifestyle factors and the age at symptom onset of autosomal dominant Alzheimer disease (ADAD), which is largely influenced by genetics, focusing on how resilience-related experiences may impact this relationship.
  • The researchers analyzed data from the Dominantly Inherited Alzheimer Network, assessing both clinical and lifestyle factors in two groups: one looking at general resilience among people showing cognitive stability despite high pathology and another focusing on specific genetic timelines for ADAD.
  • Findings from 320 participants indicate variations in age at onset among carriers based on lifestyle and resilience factors, revealing potential avenues for understanding how these influences might delay the onset of symptoms in genetically predisposed individuals.
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Clinical management and therapeutics development for Alzheimer's disease (AD) have entered a new era, with recent approvals of monoclonal antibody therapies targeting the underlying pathophysiology of the disease and modifying its trajectory. Imaging and fluid biomarkers are becoming increasingly important in the clinical development of AD therapeutics. This review focuses on the evidence of fluid biomarkers from recent amyloid-β-targeting clinical trials, summarizing biomarker data across 12 trials.

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Although neurofilament light chain is a well-known marker of neuronal damage, its characterization at the proteoform level is underdeveloped. Here, we describe a new method to profile and quantify neurofilament light chain in plasma at the peptide level, using three in-house monoclonal antibodies targeting distinct protein domains and nano-liquid chromatography coupled to high-resolution tandem mass spectrometry. This study profiled and compared plasma neurofilament light chain to CSF in 102 older individuals (73.

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This manuscript describes and summarizes the Dominantly Inherited Alzheimer Network Observational Study (DIAN Obs), highlighting the wealth of longitudinal data, samples, and results from this human cohort study of brain aging and a rare monogenic form of Alzheimer's disease (AD). DIAN Obs is an international collaborative longitudinal study initiated in 2008 with support from the National Institute on Aging (NIA), designed to obtain comprehensive and uniform data on brain biology and function in individuals at risk for autosomal dominant AD (ADAD). ADAD gene mutations in the amyloid protein precursor (), presenilin 1 (), or presenilin 2 () genes are deterministic causes of ADAD, with virtually full penetrance, and a predictable age at symptomatic onset.

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Introduction: Biomarkers have been essential to understanding Alzheimer's disease (AD) pathogenesis, pathophysiology, progression, and treatment effects. However, each biomarker measure is a representation of the biological target, the assay used to measure it, and the variance of the assay. Thus, biomarker measures are difficult to compare without standardization, and the units and magnitude of effect relative to the disease are difficult to appreciate, even for experts.

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This study explored the role of the ubiquitin-proteasome system (UPS) in dominantly inherited Alzheimer's disease (DIAD) by examining changes in cerebrospinal fluid (CSF) levels of UPS proteins along with disease progression, AD imaging biomarkers (PiB PET, tau PET), neurodegeneration imaging measures (MRI, FDG PET), and Clinical Dementia Rating (CDR). Using the SOMAscan assay, we detected subtle increases in specific ubiquitin enzymes associated with proteostasis in mutation carriers (MCs) up to two decades before the estimated symptom onset. This was followed by more pronounced elevations of UPS-activating enzymes, including E2 and E3 proteins, and ubiquitin-related modifiers.

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Late-onset Alzheimer's disease (LOAD) is the most common form of Alzheimer's disease (AD). However, modeling sporadic LOAD that endogenously captures hallmark neuronal pathologies such as amyloid-β (Aβ) deposition, tau tangles, and neuronal loss remains an unmet need. We demonstrate that neurons generated by microRNA (miRNA)-based direct reprogramming of fibroblasts from individuals affected by autosomal dominant AD (ADAD) and LOAD in a three-dimensional environment effectively recapitulate key neuropathological features of AD.

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Introduction: Plasma has been proposed as an alternative to cerebrospinal fluid (CSF) for measuring Alzheimer's disease (AD) biomarkers, but no studies have analyzed in detail which biofluid is more informative for genetics studies of AD.

Method: Eleven proteins associated with AD (α-synuclein, apolipoprotein E [apoE], CLU, GFAP, GRN, NfL, NRGN, SNAP-25, TREM2, VILIP-1, YKL-40) were assessed in plasma (n = 2317) and CSF (n = 3107). Both plasma and CSF genome-wide association study (GWAS) analyses were performed for each protein, followed by functional annotation.

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Background: Genetic variants that cause autosomal dominant Alzheimer's disease are highly penetrant but vary substantially regarding age at symptom onset (AAO), rates of cognitive decline, and biomarker changes. Most pathogenic variants that cause autosomal dominant Alzheimer's disease are in presenilin 1 (PSEN1), which encodes the catalytic core of γ-secretase, an enzyme complex that is crucial in production of amyloid β. We aimed to investigate whether the heterogeneity in AAO and biomarker trajectories in carriers of PSEN1 pathogenic variants could be predicted on the basis of the effects of individual PSEN1 variants on γ-secretase activity and amyloid β production.

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Importance: Phase 3 trials of successful antiamyloid therapies in Alzheimer disease (AD) have demonstrated improved clinical efficacy in people with less severe disease. Plasma biomarkers will be essential for efficient screening of participants in future primary prevention clinical trials testing antiamyloid therapies in cognitively unimpaired (CU) individuals with initially low brain β-amyloid (Aβ) levels who are at high risk of accumulating Aβ.

Objective: To investigate if combining plasma biomarkers could be useful in predicting subsequent development of Aβ pathology in CU individuals with subthreshold brain Aβ levels (defined as Aβ levels <40 Centiloids) at baseline.

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Introduction: Cerebrospinal fluid (CSF) tau phosphorylation at multiple sites is associated with cortical amyloid and other pathologic changes in Alzheimer's disease. These relationships can be non-linear. We used an artificial neural network to assess the ability of 10 different CSF tau phosphorylation sites to predict continuous amyloid positron emission tomography (PET) values.

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Article Synopsis
  • Estimating treatment effects in disease progression through time savings is highlighted as potentially more understandable than traditional methods, leading to the investigation of new statistical approaches.
  • The study introduces five alternative methods to measure time savings based on simulated clinical trial data, specifically tailored to resemble the progression seen in a key lecanemab trial.
  • Results indicate that these new methods yield more precise estimates by factoring in both the absolute differences between treatment groups and the progression rates, emphasizing the benefits of using multiple methods for comprehensive evaluation.
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Plasma phosphorylated-tau 217 (p-tau217) is currently the most promising biomarkers for reliable detection of Alzheimer's disease (AD) pathology. Various p-tau217 assays have been developed, but their relative performance is unclear. We compared key plasma p-tau217 tests using cross-sectional and longitudinal measures of amyloid-β (Aβ)-PET, tau-PET, and cognition as outcomes, and benchmarked them against cerebrospinal fluid (CSF) biomarker tests.

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Article Synopsis
  • The Knight-Alzheimer Disease Research Center at Washington University has been at the forefront of Alzheimer disease research for over 40 years, significantly enhancing our understanding through various studies on cognitive and molecular aspects.
  • Over 26,000 biological samples have been collected from participants, including DNA, RNA, plasma, and cerebrospinal fluid, to support extensive research on dementia and aging.
  • The Genetics and High Throughput -Omics core has conducted in-depth molecular profiling to discover new risk factors, biomarkers, and potential treatment targets for Alzheimer disease.
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Background: Amyloid beta protein (Aβ) is a treatment target in Alzheimer's Disease (AD). Lowering production of its parent protein, APP, has benefits in preclinical models. Posiphen, an orally administered small molecule, binds to an iron-responsive element in APP mRNA and decreases translation of APP and Aβ.

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