Alzheimer's Disease

Hydrogen sulfide ameliorates cognitive dysfunction in diabetic encephalopathy by activating PI3K/AKT/GSK-3β signaling to attenuate tau hyperphosphorylation and necroptosis.

Diabetic encephalopathy (DE) is a serious complication of diabetes mellitus characterized by progressive cognitive dysfunction; but its underlying mechanisms remain incompletely understood. Tau hyperphosphorylation and necroptosis are key pathological events in neurodegenerative diseases, but their roles in DE and the capacity of hydrogen sulfide (H2S) to regulate these processes have not been inv...

AI-assisted FTIR spectroscopic profiling of exosomes: Emerging frontiers in early detection of Alzheimer's disease.

Alzheimer's disease (AD) remains one of the most challenging neurodegenerative disorders, primarily due to the lack of reliable tools for its early and non-invasive diagnosis. Exosomes, nanosized extracellular vesicles secreted by neural and peripheral cells, have emerged as promising biomarkers reflecting the molecular alterations associated with AD pathogenesis. Fourier Transform Infrared (FTIR)...

Disease-specific tau polymorphs are associated with unique protein networks across proteinopathies.

Tau protein aggregates adopt distinct conformations across tauopathies, yet the protein interactions engaged by disease-specific polymorphs remain poo...

Characterization of Genetic Risk Factors of Cerebral Small Vessel Disease Based on Large-scale Transcriptome Profiling.

Cerebral small vessel disease (CSVD) is a major contributor to stroke and dementia, and it endangers the health of older individuals (>50 years old). ...

Quantification of practice effects in a self-administered online cognitive pre-screening test.

BACKGROUND: With growing prevalence of mild cognitive impairment and dementia, online self-administered pre-screening tests hold the promise to more o...

CT-based prediction of hematoma expansion and adverse outcomes after intracerebral hemorrhage: evidence appraisal, artificial intelligence translation, and GeroScience perspectives.

Spontaneous intracerebral hemorrhage (ICH) is a highly lethal and disabling form of stroke, in which hematoma expansion (HE) is a major and potentiall...

Multimodal MRI insights into hippocampal pathological changes across the Alzheimer's disease continuum: advances and challenges.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with early and progressive hippocampal pathology serving as a hallmark across th...

Graph theory identifies altered prefrontal microcircuit organization in Shank3 mice, a mouse Model of autism.

Graph theory provides unique tools to assess complex networks. It has been previously used with functional magnetic resonance imaging (fMRI) datasets ...

Histological aging signatures for monitoring tissue-specific aging and disease.

Aging is the primary risk factor for chronic disease and is characterized by profound structural and architectural remodeling of human tissues. Here, ...

Better sleep now, better cognition later? Predicting cognitive function using a machine learning-based sleep EEG brain health score.

STUDY OBJECTIVES: Sleep state electrocortical activity measured using electroencephalograms (EEG) is linked with cognitive function and dementia risk....

Deep Learning-Based Enhancement of Already Diagnostic-Quality MRI for Alzheimer's Disease Classification: Effects on Model Performance and Training Data Requirements.

BACKGROUND: Deep learning (DL)-based image enhancement is widely used to improve suboptimal medical imaging. Whether it also benefits diagnostic-quali...

Development and validation of an amyloid PET dementia of the Alzheimer's type (DAT) score.

BackgroundAlzheimer's disease (AD) can be debilitating if left untreated, but its progression may be altered through early detection.ObjectiveTo devel...

Predictive value of the Alzheimer polygenic risk score on cognitive decline in patients with mild cognitive impairment and Alzheimer's disease dementia.

BACKGROUND: Polygenic risk scores for Alzheimer's disease (AD-PRS) are widely used to estimate genetic susceptibility to AD, but their relationship wi...

Integrative machine learning and single-nucleus transcriptomics reveal MAPK-centered neuronal responses underlying the potential Alzheimer's disease risk of GenX.

Hexafluoropropylene oxide-dimer acid (GenX or HFPO-DA) is a novel per- and polyfluoroalkyl substance developed as a replacement for legacy compounds, ...

Bidirectional cross-modal attention with adaptive gating for multimodal alzheimer's disease classification.

Alzheimer's disease (AD) is a neurodegenerative disorder, and mild cognitive impairment (MCI) represents a transitional stage between AD and cognitive...

Bridging the islands of innovation: A machine-assisted Semantic-Bibliometric review and conceptual roadmap for closed-loop digital dementia care.

BACKGROUND: Artificial intelligence (AI), extended reality (XR), and socially assistive robotics (SAR) are each advancing Alzheimer's disease (AD) res...

An efficient ranking deep neural network algorithm for the prediction of Ca2+ binding sites of the protein.

The Ca2+ binding sites of proteins are critical for their function, particularly in processes such as signal transduction, enzyme regulation, and stru...

Unraveling the molecular Nexus of Alzheimer's Disease and HIV encephalitis: The role of cellular senescence and transcriptional regulation.

Alzheimer's disease (AD) and HIV-associated neurocognitive disorder (HAND) share progressive cognitive decline. Their common molecular mechanisms rema...

Somalia's lifeline: Digitalization and AI.

Somalia's fragile health system, strained by decades of conflict, climate shocks, and persistently low immunization coverage, remains dangerously vuln...

Development and validation of machine learning models to predict risk of undiagnosed dementia using healthcare claims and electronic health record data.

BackgroundApproximately half of people living with Alzheimer's disease and related dementias are undiagnosed.ObjectiveTo develop and validate algorith...