Sort   by:  
 Page size 
UnknownPlasma phosphorylated-tau181 as a predictive biomarker for Alzheimer's amyloid, tau and FDG PET status.
Plasma phosphorylated-tau181 (p-tau181) showed the potential for Alzheimer's diagnosis and prognosis, but its role in detecting cerebral pathologies is unclear. We aimed to evaluate whether it could serve as a marker for Alzheimer's pathology in the brain. A total of 1189 participants with plasma p-...
S-EPMC8590691 | biostudies-literature
UnknownDeterminants of cognitive and brain resilience to tau pathology: a longitudinal analysis.
Mechanisms of resilience against tau pathology in individuals across the Alzheimer's disease spectrum are insufficiently understood. Longitudinal data are necessary to reveal which factors relate to preserved cognition (i.e. cognitive resilience) and brain structure (i.e. brain resilience) despite a...
S-EPMC10473572 | biostudies-literature
UnknownThe Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores.
The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currently containing over 250,000 genetic variant associat...
S-EPMC9438378 | biostudies-literature
UnknownDrosophila muller f elements maintain a distinct set of genomic properties over 40 million years of evolution.
The Muller F element (4.2 Mb, ~80 protein-coding genes) is an unusual autosome of Drosophila melanogaster; it is mostly heterochromatic with a low recombination rate. To investigate how these properties impact the evolution of repeats and genes, we manually improved the sequence and annotated the ge...
S-EPMC4426361 | biostudies-literature
UnknownPerforming Sparse Regularization and Dimension Reduction Simultaneously in Multimodal Data Fusion.
Collecting multiple modalities of neuroimaging data on the same subject is increasingly becoming the norm in clinical practice and research. Fusing multiple modalities to find related patterns is a challenge in neuroimaging analysis. Canonical correlation analysis (CCA) is commonly used as a symmetr...
S-EPMC6618346 | biostudies-literature
UnknownPrediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers.
Alzheimer's disease (AD), including its mild cognitive impairment (MCI) phase that may or may not progress into the AD, is the most ordinary form of dementia. It is extremely important to correctly identify patients during the MCI stage because this is the phase where AD may or may not develop. Thus...
S-EPMC6805777 | biostudies-literature
UnknownSex-specific modulation of amyloid-β on tau phosphorylation underlies faster tangle accumulation in females.
Females are disproportionately affected by dementia due to Alzheimer's disease. Despite a similar amyloid-β (Aβ) load, a higher load of neurofibrillary tangles (NFTs) is seen in females than males. Previous literature has proposed that Aβ and phosphorylated-tau (p-tau) synergism accelerates tau tang...
S-EPMC10994548 | biostudies-literature
UnknownCircular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data.

Background

Deep learning has shown potential in various scientific domains but faces challenges when applied to complex, high-dimensional multi-omics data. Alzheimer's Disease (AD) is a neurodegenerative disorder that lacks targeted therapeutic options. This study introduces the Circular-Sli...
S-EPMC10579282 | biostudies-literature
UnknownInsulin-like growth factor binding protein-2 in at-risk adults and autopsy-confirmed Alzheimer brains.
Insulin, insulin-like growth factors (IGF) and their receptors are highly expressed in the adult hippocampus. Thus, disturbances in the insulin-IGF signalling pathway may account for the selective vulnerability of the hippocampus to nascent Alzheimer's disease (AD) pathology. In the present study, w...
S-EPMC11068109 | biostudies-literature
UnknownBayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer's disease.
We used a data-driven Bayesian model to automatically identify distinct latent factors of overlapping atrophy patterns from voxelwise structural MRIs of late-onset Alzheimer's disease (AD) dementia patients. Our approach estimated the extent to which multiple distinct atrophy patterns were expressed...
S-EPMC5081632 | biostudies-literature
Sort   by:  
 Page size