Background: Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiomyopathy. A subset of patients experience major adverse cardiovascular events (MACEs), including arrhythmias, strokes and heart failure. However, the molecular mechanisms underlying MACEs in HCM are still not well understood. Therefore, we conducted a multicenter case-control study of patients with HCM, comparing those with and without prior histories of MACEs to identify dysregulated signaling pathways through plasma proteomics profiling.
Methods: We performed plasma proteomics profiling of 4986 proteins. We developed a proteomics-based discrimination model in patients enrolled at 1 institution (training set) and externally validated the model in patients enrolled at another institution (test set). We performed pathway analysis of proteins dysregulated in patients with prior MACEs.
Results: A total of 402 patients were included, with 278 in the training set and 124 in the test set. In this cohort, 257 (64%) patients had prior MACEs (172 in the training set and 85 in the test set). Using the proteomics-based model from the training set, the area under the receiver operating characteristic curve was 0.82 (95% confidence interval, 0.75-0.90) in the test set. Patients with prior MACEs demonstrated dysregulation in pathways known to be associated with MACEs (eg, TGF-β) and novel pathways (eg, Ras-MAPK and associated pathways).
Conclusions: In this multicenter study of 402 patients with HCM, we identified both known and novel pathways dysregulated in a subset of patients with more advanced disease.
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http://dx.doi.org/10.1016/j.cardfail.2023.07.010 | DOI Listing |
Alzheimers Dement
December 2024
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Background: The prohibitive costs of drug development for Alzheimer's Disease (AD) emphasize the need for alternative in silico drug repositioning strategies. Graph learning algorithms, capable of learning intrinsic features from complex network structures, can leverage existing databases of biological interactions to improve predictions in drug efficacy. We developed a novel machine learning framework, the PreSiBOGNN, that integrates muti-modal information to predict cognitive improvement at the subject level for precision medicine in AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of New Hampshire, Durham, NH, USA.
Background: Resource-constrained rural areas face significant challenges in providing access to healthcare resources, especially for older adults, including those living with Alzheimer's disease and related dementia (ADRD). We seek to address these gaps by equipping six rural community sites in New Hampshire and Maine with tele-rehabilitative equipment. Libraries and community centers that serves youth and older adults, vital in rural communities, are identified as key partners to advance digital health literacy, equity, and telemedicine services for older adults including those living with ADRD, with the University of [blind for review] Center for Digital Health Innovation (CDHI).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University College London, London, United Kingdom.
Background: Data from high-income countries (HICs) suggest a decline in age-specific incidence rates of dementia. However, this has happened primarily in HICs, with low- and middle- income countries (LMICs) facing two main challenges: a higher burden of risk factors and, in general, a faster ageing population. Most people with dementia live in LMICs, and this is set to increase, thus requiring urgent and robust action to prevent, treat and support people with dementia and their families.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Siemens Heathineers, Princeton, NJ, USA.
Background: The recent breakthrough in monoclonal antibody treatment for Alzheimer's disease (AD) has ushered in a new phase in AD healthcare. However, associated amyloid-related imaging abnormalities (ARIA) present a significant risk to patients, necessitating careful monitoring. Detection by radiologists can be challenging and may suffer from inconsistency.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Universidade Federal de São Paulo (UNIFESP), São Paulo, São Paulo/SP, Brazil.
Background: Dementia awareness and education are currently limited among healthcare workers and the general public, contributing towards the generation and propagation of stigma and discrimination against people with dementia worldwide. It is crucial to promote evidence-based anti-stigma interventions with a focus on stigma reduction.
Method: This is a randomized and controlled feasibility trial of a group intervention aimed at improving knowledge and reducing stigma related to dementia among Community Health Workers (CHWs) (Trial Registration: RBR-10xp637m).
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