ArticlemedRxiv : the preprint server for health sciences2026
Predicting Rates of Cognitive Decline in Older Adults with Brain- and Cardiac-Imputed Transcripts.
Ali Razavi, Nathan R Tucker, Auyon J Ghosh, Stephen V Faraone, Stephen J Glatt, Jonathan L Hess
Abstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
6 authors.
Ali RazaviDepartment of Neuroscience & Physiology, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Nathan R TuckerDepartments of Pharmacology and Medicine, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Auyon J GhoshDepartment of Medicine, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Stephen V FaraoneDepartment of Psychiatry & Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Stephen J GlattDepartment of Neuroscience & Physiology, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Jonathan L HessDepartment of Psychiatry & Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Funding
SLE Treatment with N-acetylcysteineU01AR076092 · NIAMS · UPSTATE MEDICAL UNIVERSITY · PI Michael P McDermott, Andras Perl · 2020 to 2026
$7.9MPerson-centered diagnostics and prediction for child dysregulatory psychopathology using novel phenotypesU01MH135970 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI KARALUNAS, SARAH LYN, NAGEL, BONNIE J. · 2024 to 2025
$6.5MDiscoveries in ADHD genomics: Help or hype in clinical settings?R01MH116037 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DOYLE, ALYSA E · 2019 to 2023
$4.4MGenetic Predictors, Transcriptomic Biomarkers, & Neurobiological Signatures of Resilience to Alzheimer's DiseaseR01AG064955 · NIA · UPSTATE MEDICAL UNIVERSITY · PI FENNEMA-NOTESTINE, CHRISTINE, GLATT, STEPHEN J · 2019 to 2023
$3.8MFrom Variants to Mechanisms for Cardiac ArrhythmiasR01HL170051 · NHLBI · UPSTATE MEDICAL UNIVERSITY · PI Nathan R Tucker · 2023 to 2026
$3.1MPolygenic and environmental contributions to ADHD trajectory and outcome from childhood through adolescenceR01MH131685 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI Michael A Mooney, Molly Nikolas · 2023 to 2026
$3.1MLeveraging computational strategies to disentangle the genetic and neural underpinnings of ADHD and its associated cognitive systemsR01MH130899 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI Tian Ge · 2023 to 2026
$3.0MIntegrating Genetic, Neuroimaging, Transcriptomic, and Clinical Risk Factors as Multivariate Predictors of Cognitive Deterioration in Alzheimer's Disease.R01NS128535 · NINDS · UPSTATE MEDICAL UNIVERSITY · PI HESS, JONATHAN · 2022 to 2024
$1.2MGenetic and Transcriptomic Resilience in Chronic Obstructive Pulmonary DiseaseK08HL168205 · NHLBI · UPSTATE MEDICAL UNIVERSITY · PI Auyon Ghosh · 2024 to 2026
$608kProfiling the Functional Genetics of Health and Disease using BrainGENIE: The Brain Gene Expression and Network Imputation EngineR21MH126494 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI GLATT, STEPHEN J, HESS, JONATHAN · 2021 to 2022
$446kNHLBI NIH HHS K08 HL168205NHLBI NIH HHS R01 HL170051NIAMS NIH HHS U01 AR076092NIA NIH HHS R01 AG064955NIMH NIH HHS R01 MH116037NIMH NIH HHS R01 MH130899NIMH NIH HHS R01 MH131685NIMH NIH HHS R21 MH126494NIMH NIH HHS U01 MH135970NINDS NIH HHS R01 NS128535
6 · The paper itselfAbstract
Severe cognitive decline due to dementia is an important clinical indicator signaling neurodegeneration. Predicting cognitive decline rates can be useful in establishing prognosis and modifying treatment regimens. The rate of decline is highly variable across patients with dementia and may be determined by an interplay of many factors. This variability poses challenges to existing tools for predicting disease progression. Changes in heart and brain tissue have been associated with cognitive decline, yet tissue-specific molecular data are difficult to obtain. In this study, we sought to estimate cognitive decline-related transcripts in the brain and heart of people actively living with and without dementia. We reconstructed transcriptomic profiles in brain and heart with the transcriptome-imputation algorithms
Indexed as
Alzheimer’s diseasecognitive declinedementiapredictiontranscriptome imputation
Identifiers
PMID42856725
PMCPMC13648814
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