Results 141 to 150 of about 103,941 (262)

Recent Advances in Top‐Down Proteomics for Single‐Cell Research

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT Individual cells have distinctive molecular characteristics, including biologically relevant proteoforms. Although single‐cell (SC) molecular omics offer unprecedented insights into cellular heterogeneity and function, the characterization of proteoforms in SCs remains an uncharted territory.
Jake A. Melby, Pei Su, Fabio P. Gomes
wiley   +1 more source

Clinical Progression in Alpha‐Synuclein Positive LRRK2‐PD and Sporadic Parkinson's Disease: A Longitudinal Analysis

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background LRRK2‐Parkinson's disease (LRRK2‐PD) is biologically heterogeneous with approximately 30% lacking aggregated alpha synuclein (αSyn) in cerebrospinal fluid by seed amplification assay (SAA). Prior work has suggested slower progression in LRRK2‐PD compared to sporadic PD (sPD).
Lucy A. Morse   +224 more
wiley   +1 more source

Mapping Causal Biology: Mendelian Randomization in the Era of Big Data

open access: yesMed Research, EarlyView.
Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen   +10 more
wiley   +1 more source

Co‐ and Multi‐Pathologies in Parkinson's Disease: An International Parkinson and Movement Disorder Society Scientific Issues Committee Review

open access: yesMovement Disorders, EarlyView.
Abstract Parkinson's disease (PD) has been historically defined as a disease of striatal dopamine deficiency secondary to degeneration of dopaminergic neurons in the substantia nigra pars compacta, related to the presence of Lewy bodies and Lewy neurites.
Michele Matarazzo   +10 more
wiley   +1 more source

Greater Motor and Nonmotor Burden at Diagnosis Is Associated With Amyloid Copathology in Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Concurrent Alzheimer's disease pathology is increasingly recognized as a poor prognostic factor in Parkinson's disease (PD), yet reliable clinical indicators for early identification of AD copathology remain poorly established.
Han Kyu Na   +11 more
wiley   +1 more source

Joint Risk Factor Combinations with Additive Interaction Increase the Risk of Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Combined effects of multiple risk factors on incident late‐onset Parkinson's disease (PD; LOPD) remain poorly characterized. Objective The objective of this study was to quantify the impact of joint risk exposures and estimate the contribution of potentially modifiable factors to incident LOPD risk.
Andrea Quattrone   +5 more
wiley   +1 more source

Serum elemental profile‐based machine learning models for Alzheimer's disease identification and cognitive score prediction

open access: yesNeuroprotection, EarlyView.
Serum elemental profiling combined with machine learning supports exploratory Alzheimer's disease (AD) identification and cognitive score prediction. In this retrospective cross‐sectional study, 874 participants from the BANC‐PUMC, including cognitively normal controls and patients with AD, were analyzed.
Haotian Liu   +6 more
wiley   +1 more source

Huntingtin knockdown dysregulates autophagic degradation of Apolipoprotein E. [PDF]

open access: yesJ Huntingtons Dis
Fote GM   +6 more
europepmc   +1 more source

The transformative potential of artificial intelligence in pediatric medicine: Current applications, methodological challenges, and future directions

open access: yesPediatric Investigation, EarlyView.
Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang   +3 more
wiley   +1 more source

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