Results 101 to 110 of about 2,188,737 (317)

A PANoptosis‐Based Signature for Survival and Immune Predication in Glioblastoma Multiforme

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective PANoptosis is a concept of total cell death characterized by pyroptosis, apoptosis, and necroptosis. We aimed to explore the clinical significance of PANoptosis‐related genes (PARGs) in glioblastoma multiforme (GBM). Methods Expression profiles of GBM were downloaded from the XENA database as a training dataset to construct a ...
Jun Yang   +4 more
wiley   +1 more source

Histone Deacetylase 6 Brain PET in Amyotrophic Lateral Sclerosis‐Frontotemporal Spectrum Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective [18F]EKZ‐001 is a positron emission tomography (PET) tracer targeting histone deacetylase 6 (HDAC6), an enzyme responsible for intracellular transport and clearance of misfolded proteins. HDAC6 modulation is a promising treatment strategy in neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS).
Greet Vanderlinden   +15 more
wiley   +1 more source

Myostatin Levels in SMA Following Disease‐Modifying Treatments: A Multi‐Center Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study investigated myostatin levels in SMA patients receiving disease‐modifying therapies (DMTs) to understand their relationship with treatment duration and functional status. Methods Our study includes both cross‐sectional and longitudinal analyses of myostatin levels in treated SMA patients.
Fiorella Piemonte   +23 more
wiley   +1 more source

Vague quantifiers demonstrate little susceptibility to frame of reference effects. [PDF]

open access: yesAppl Res Qual Life, 2022
Walentynowicz M   +3 more
europepmc   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope   +4 more
wiley   +1 more source

"Being able to do whatever you wanna do as a woman is important:" a qualitative exploration of contraception as a frame of reference for HIV prevention with PrEP. [PDF]

open access: yesReprod Health, 2022
Murphy EC   +8 more
europepmc   +1 more source

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