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  1. Article ; Online: One step forward to personalized medicine?

    Dodge, Hiroko H / Arnold, Steven E

    Alzheimer's & dementia (New York, N. Y.)

    2023  Volume 9, Issue 4, Page(s) e12435

    Language English
    Publishing date 2023-11-15
    Publishing country United States
    Document type Editorial
    ZDB-ID 2832891-7
    ISSN 2352-8737 ; 2352-8737
    ISSN (online) 2352-8737
    ISSN 2352-8737
    DOI 10.1002/trc2.12435
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  2. Article: "Senior Moments" or More? Diagnostic Evaluation of Cognitive Complaints in Older Adults and the Role of Cerebrospinal Fluid Biomarkers.

    Arnold, Steven E

    The journal of applied laboratory medicine

    2019  Volume 5, Issue 1, Page(s) 219–224

    MeSH term(s) Aged ; Aging/psychology ; Alzheimer Disease/cerebrospinal fluid ; Alzheimer Disease/diagnosis ; Biomarkers/analysis ; Biomarkers/cerebrospinal fluid ; Brain/diagnostic imaging ; Cognition ; Comorbidity ; Diagnosis, Differential ; Diagnostic Self Evaluation ; Humans ; Male ; Memory Disorders/diagnosis ; Memory Disorders/psychology ; Positron-Emission Tomography/methods ; Practice Patterns, Physicians'/ethics
    Chemical Substances Biomarkers
    Language English
    Publishing date 2019-11-29
    Publishing country England
    Document type Case Reports ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ISSN 2576-9456
    ISSN 2576-9456
    DOI 10.1373/jalm.2019.029546
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Effectiveness-Essential for Cost-effectiveness-Reply.

    Ross, Eric L / Weinberg, Marc S / Arnold, Steven E

    JAMA neurology

    2022  

    Language English
    Publishing date 2022-10-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2702023-X
    ISSN 2168-6157 ; 2168-6149
    ISSN (online) 2168-6157
    ISSN 2168-6149
    DOI 10.1001/jamaneurol.2022.3107
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Cost-effectiveness of Aducanumab and Donanemab for Early Alzheimer Disease in the US.

    Ross, Eric L / Weinberg, Marc S / Arnold, Steven E

    JAMA neurology

    2022  Volume 79, Issue 5, Page(s) 478–487

    Abstract: Importance: Several anti-amyloid monoclonal antibodies have been developed for slowing the progression of Alzheimer disease (AD). Among the furthest developed are aducanumab, which received accelerated approval from the US Food and Drug Administration ... ...

    Abstract Importance: Several anti-amyloid monoclonal antibodies have been developed for slowing the progression of Alzheimer disease (AD). Among the furthest developed are aducanumab, which received accelerated approval from the US Food and Drug Administration in 2021, and donanemab, which is currently undergoing phase 3 trials. The cost-effectiveness of these treatments has not been established.
    Objectives: To estimate the cost-effectiveness of aducanumab and donanemab relative to standard care for early AD in the US.
    Design, setting, and participants: A decision analytic model was used to estimate the lifetime health and economic outcomes of adults with early AD, from US healthcare sector and societal perspectives. Simulated patients had a mean (SD) age of 75.2 (5.5) years; 65% had mild cognitive impairment and 35% had mild dementia. Analyses were conducted from April 6, 2021, to January 20, 2022.
    Interventions: Standard care, aducanumab (selected inputs including disease progression hazard ratio [HR] of 0.89 [95% CI, 0.63-1.15], annual price of $28 000, and twice-yearly monitoring with magnetic resonance imaging [MRI] of the brain), or donanemab (selected inputs including disease progression HR of 0.68 [95% CI, 0.44-0.99], annual price of $28 000, and twice-yearly monitoring with MRI of the brain and amyloid positron emission tomography [PET] monitoring). Donanemab was switched to placebo after substantial amyloid reduction on PET imaging, which occurred in 27% of patients at 6 months and 55% of patients at 12 months.
    Main outcomes and measures: Quality-adjusted life-years (QALYs); costs, in 2020 US dollars; incremental cost-effectiveness ratios (ICERs); and value-based prices, defined as the maximum price at which a treatment would be cost-effective given a cost-effectiveness threshold of ICER of $150 000/QALY.
    Results: Lifetime QALYs increased by 0.133 with aducanumab and 0.408 with donanemab. Total health care sector and societal costs increased by $130 100 and $127 800, respectively, with aducanumab and by $78 700 and $71 600, respectively, with donanemab, driven largely by drug costs ($119 000 for aducanumab and $44 600 for donanemab). Health care sector and societal ICERs relative to standard care were $981 000/QALY and $964 000/QALY, respectively, for aducanumab and $193 000/QALY and $176 000/QALY, respectively, for donanemab. In sensitivity analysis, aducanumab's value-based price remained less than $50 000/y, even when assuming a 90% reduction in disease progression. Donanemab's value-based price surpassed $50 000/y once its efficacy exceeded 50%.
    Conclusions and relevance: These findings suggest that at current expected prices, neither aducanumab nor donanemab would be cost-effective for early AD in the US. Donanemab's dosing scheme, in which patients suspend treatment on achieving substantial amyloid reductions, may provide a rubric by which sufficiently effective anti-amyloid antibody treatments could be cost-effective even when priced comparably to other biologics.
    MeSH term(s) Adult ; Aged ; Alzheimer Disease/drug therapy ; Amyloid ; Antibodies, Monoclonal/therapeutic use ; Antibodies, Monoclonal, Humanized ; Cost-Benefit Analysis ; Disease Progression ; Humans
    Chemical Substances Amyloid ; Antibodies, Monoclonal ; Antibodies, Monoclonal, Humanized ; aducanumab (105J35OE21)
    Language English
    Publishing date 2022-03-28
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2702023-X
    ISSN 2168-6157 ; 2168-6149
    ISSN (online) 2168-6157
    ISSN 2168-6149
    DOI 10.1001/jamaneurol.2022.0315
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  5. Article ; Online: Cerebrospinal fluid biomarker profiling of diverse pathophysiological domains in Alzheimer's disease.

    Trombetta, Bianca A / Wu, Chao-Yi / Kuo, Evan / de Geus, Matthijs B / Dodge, Hiroko H / Carlyle, Becky C / Kivisäkk, Pia / Arnold, Steven E

    Alzheimer's & dementia (New York, N. Y.)

    2024  Volume 10, Issue 1, Page(s) e12440

    Abstract: Introduction: While Alzheimer's disease (AD) is defined by amyloid-β plaques and tau tangles in the brain, it is evident that many other pathophysiological processes such as inflammation, neurovascular dysfunction, oxidative stress, and metabolic ... ...

    Abstract Introduction: While Alzheimer's disease (AD) is defined by amyloid-β plaques and tau tangles in the brain, it is evident that many other pathophysiological processes such as inflammation, neurovascular dysfunction, oxidative stress, and metabolic derangements also contribute to the disease process and that varying contributions of these pathways may reflect the heterogeneity of AD. Here, we used a previously validated panel of cerebrospinal fluid (CSF) biomarkers to explore the degree to which different pathophysiological domains are dysregulated in AD and how they relate to each other.
    Methods: Twenty-five CSF biomarkers were analyzed in individuals with a clinical diagnosis of AD verified by positive CSF AD biomarkers (AD,
    Results: We noted that while AD was associated with increased levels of only three biomarkers (MMP-10, FABP3, and 8OHdG) on a group level, half of all AD participants had increased levels of biomarkers belonging to at least two pathophysiological domains reflecting the diversity in AD. LASSO modeling showed that a panel of FABP3, 24OHC, MMP-10, MMP-2, and 8OHdG constituted the most relevant and minimally correlated set of variables differentiating AD from CU-N. Interestingly, factor analysis showed that two markers of metabolism and oxidative stress (24OHC and 8OHdG) contributed independent information separate from MMP-10 and FABP3 suggestive of two independent pathophysiological pathways in AD, one reflecting neurodegeneration and vascular pathology, and the other associated with metabolism and oxidative stress.
    Discussion: Better understanding of the heterogeneity among individuals with AD and the different contributions of pathophysiological processes besides amyloid-β and tau will be crucial for optimizing personalized treatment strategies.
    Highlights: A panel of 25 highly validated biomarker assays were measured in CSF.MMP10, FABP3, and 8OHdG were increased in AD in univariate analysis.Many individuals with AD had increased levels of more than one biomarker.Markers of metabolism and oxidative stress contributed to an AD multianalyte profile.Assessing multiple biomarker domains is important to understand disease heterogeneity.
    Language English
    Publishing date 2024-01-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2832891-7
    ISSN 2352-8737 ; 2352-8737
    ISSN (online) 2352-8737
    ISSN 2352-8737
    DOI 10.1002/trc2.12440
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  6. Article ; Online: Associations of Serum Insulin and Related Measures With Neuropathology and Cognition in Older Persons With and Without Diabetes.

    Arvanitakis, Zoe / Capuano, Ana W / Tong, Han / Mehta, Rupal I / Anokye-Danso, Frederick / Bennett, David A / Arnold, Steven E / Ahima, Rexford S

    Annals of neurology

    2024  Volume 95, Issue 4, Page(s) 665–676

    Abstract: Objective: To examine associations of serum insulin and related measures with neuropathology and cognition in older persons.: Methods: We studied 192 older persons (96 with diabetes and 96 without, matched by sex and balanced by age-at-death, ... ...

    Abstract Objective: To examine associations of serum insulin and related measures with neuropathology and cognition in older persons.
    Methods: We studied 192 older persons (96 with diabetes and 96 without, matched by sex and balanced by age-at-death, education, and postmortem interval) from a community-based, clinical-pathologic study of aging, with annual evaluations including neuropsychological testing (summarized into global cognition and 5 cognitive domains) and postmortem autopsy. We assessed serum insulin, glucose, leptin, adiponectin, hemoglobin A1C, advanced glycation-end products (AGEs), and receptors for advanced glycation-end products, and calculated the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and adiponectin-to-leptin ratio. Using adjusted regression analyses, we examined the associations of serum measures with neuropathology of cerebrovascular disease and Alzheimer's disease, and with the level of cognition proximate-to-death.
    Results: Higher HOMA-IR was associated with the presence of brain infarcts and specifically microinfarcts, and higher HOMA-IR and leptin were each associated with subcortical infarcts. Further, higher leptin levels and lower adiponectin-to-leptin ratios were associated with the presence of moderate-to-severe atherosclerosis. Serum insulin and related measures were not associated with the level of Alzheimer's disease pathology, as assessed by global, as well as amyloid burden or tau tangle density scores. Regarding cognitive outcomes, higher insulin and leptin levels, and lower adiponectin and receptors for advanced glycation-end products levels, respectively, were each associated with lower levels of global cognition.
    Interpretation: Peripheral insulin resistance indicated by HOMA-IR and related serum measures was associated with a greater burden of cerebrovascular neuropathology and lower cognition. ANN NEUROL 2024;95:665-676.
    MeSH term(s) Humans ; Aged ; Aged, 80 and over ; Leptin ; Insulin Resistance ; Alzheimer Disease/pathology ; Adiponectin ; Diabetes Mellitus ; Nervous System Diseases ; Cognition ; Insulin
    Chemical Substances Leptin ; Adiponectin ; Insulin
    Language English
    Publishing date 2024-02-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80362-5
    ISSN 1531-8249 ; 0364-5134
    ISSN (online) 1531-8249
    ISSN 0364-5134
    DOI 10.1002/ana.26882
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  7. Article ; Online: Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets.

    Billot, Benjamin / Magdamo, Colin / Cheng, You / Arnold, Steven E / Das, Sudeshna / Iglesias, Juan Eugenio

    Proceedings of the National Academy of Sciences of the United States of America

    2023  Volume 120, Issue 9, Page(s) e2216399120

    Abstract: Every year, millions of brain MRI scans are acquired in hospitals, which is a figure considerably larger than the size of any research dataset. Therefore, the ability to analyze such scans could transform neuroimaging research. Yet, their potential ... ...

    Abstract Every year, millions of brain MRI scans are acquired in hospitals, which is a figure considerably larger than the size of any research dataset. Therefore, the ability to analyze such scans could transform neuroimaging research. Yet, their potential remains untapped since no automated algorithm is robust enough to cope with the high variability in clinical acquisitions (MR contrasts, resolutions, orientations, artifacts, and subject populations). Here, we present
    MeSH term(s) Magnetic Resonance Imaging/methods ; Neuroimaging/methods ; Machine Learning ; Brain/diagnostic imaging ; Algorithms ; Image Processing, Computer-Assisted/methods
    Language English
    Publishing date 2023-02-21
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2216399120
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  8. Article ; Online: Effect of Metformin on Plasma and Cerebrospinal Fluid Biomarkers in Non-Diabetic Older Adults with Mild Cognitive Impairment Related to Alzheimer's Disease.

    Weinberg, Marc S / He, Yingnan / Kivisäkk, Pia / Arnold, Steven E / Das, Sudeshna

    Journal of Alzheimer's disease : JAD

    2023  

    Abstract: Background: Alzheimer's disease (AD) is a complicated condition involving multiple metabolic and immunologic pathophysiological processes that can occur with the hallmark pathologies of amyloid-β, tau, and neurodegeneration. Metformin, an anti-diabetes ... ...

    Abstract Background: Alzheimer's disease (AD) is a complicated condition involving multiple metabolic and immunologic pathophysiological processes that can occur with the hallmark pathologies of amyloid-β, tau, and neurodegeneration. Metformin, an anti-diabetes drug, targets several of these disease processes in in vitro and animal studies. However, the effects of metformin on human cerebrospinal fluid (CSF) and plasma proteins as potential biomarkers of treatment remain unexplored.
    Objective: Using proteomics data from a metformin clinical trial, identify the impact of metformin on plasma and CSF proteins.
    Methods: We analyzed plasma and CSF proteomics data collected previously (ClinicalTrials.gov identifier: NCT01965756, conducted between 2013 and 2015), and conduced bioinformatics analyses to compare the plasma and CSF protein levels after 8 weeks of metformin or placebo use to their baseline levels in 20 non-diabetic patients with mild cognitive impairment (MCI) and positive AD biomarkers participants.
    Results: 50 proteins were significantly (unadjusted p <  0.05) altered in plasma and 26 in CSF after 8 weeks of metformin use, with 7 proteins in common (AZU1, CASP-3, CCL11, CCL20, IL32, PRTN3, and REG1A). The correlation between changes in plasma and CSF levels of these 7 proteins after metformin use relative to baseline levels was high (r = 0.98). The proteins also demonstrated temporal stability.
    Conclusions: Our pilot study is the first to investigate the effect of metformin on plasma and CSF proteins in non-diabetic patients with MCI and positive AD biomarkers and identifies several candidate plasma biomarkers for future clinical trials after confirmatory studies.
    Language English
    Publishing date 2023-12-27
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1440127-7
    ISSN 1875-8908 ; 1387-2877
    ISSN (online) 1875-8908
    ISSN 1387-2877
    DOI 10.3233/JAD-230899
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  9. Article ; Online: Multicrossover Randomized Controlled Trial Designs in Alzheimer Disease.

    Arnold, Steven E / Betensky, Rebecca A

    Annals of neurology

    2018  Volume 84, Issue 2, Page(s) 168–175

    MeSH term(s) Alzheimer Disease/diagnosis ; Alzheimer Disease/epidemiology ; Alzheimer Disease/therapy ; Cross-Over Studies ; Humans ; Randomized Controlled Trials as Topic/methods ; Research Design/trends
    Language English
    Publishing date 2018-08-29
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 80362-5
    ISSN 1531-8249 ; 0364-5134
    ISSN (online) 1531-8249
    ISSN 0364-5134
    DOI 10.1002/ana.25280
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  10. Article: Detection of Oculomotor Dysmetria From Mobile Phone Video of the Horizontal Saccades Task Using Signal Processing and Machine Learning Approaches.

    Azami, Hamed / Chang, Zhuoqing / Arnold, Steven E / Sapiro, Guillermo / Gupta, Anoopum S

    IEEE access : practical innovations, open solutions

    2022  Volume 10, Page(s) 34022–34031

    Abstract: Eye movement assessments have the potential to help in diagnosis and tracking of neurological disorders. Cerebellar ataxias cause profound and characteristic abnormalities in smooth pursuit, saccades, and fixation. Oculomotor dysmetria (i.e., hypermetric ...

    Abstract Eye movement assessments have the potential to help in diagnosis and tracking of neurological disorders. Cerebellar ataxias cause profound and characteristic abnormalities in smooth pursuit, saccades, and fixation. Oculomotor dysmetria (i.e., hypermetric and hypometric saccades) is a common finding in individuals with cerebellar ataxia. In this study, we evaluated a scalable approach for detecting and quantifying oculomotor dysmetria. Eye movement data were extracted from iPhone video recordings of the horizontal saccade task (a standard clinical task in ataxia) and combined with signal processing and machine learning approaches to quantify saccade abnormalities. Entropy-based measures of eye movements during saccades were significantly different in 72 individuals with ataxia with dysmetria compared with 80 ataxia and Parkinson's participants without dysmetria. A template matching-based analysis demonstrated that saccadic eye movements in patients without dysmetria were more similar to the ideal template of saccades. A support vector machine was then used to train and test the ability of multiple signal processing features in combination to distinguish individuals with and without oculomotor dysmetria. The model achieved 78% accuracy (sensitivity= 80% and specificity= 76%). These results show that the combination of signal processing and machine learning approaches applied to iPhone video of saccades, allow for extraction of information pertaining to oculomotor dysmetria in ataxia. Overall, this inexpensive and scalable approach for capturing important oculomotor information may be a useful component of a screening tool for ataxia and could allow frequent at-home assessments of oculomotor function in natural history studies and clinical trials.
    Language English
    Publishing date 2022-03-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2687964-5
    ISSN 2169-3536
    ISSN 2169-3536
    DOI 10.1109/access.2022.3156964
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