Results 291 to 300 of about 10,834,348 (379)

Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioblastoma (GBM) is an aggressive brain tumor characterized by significant heterogeneity. This study investigates the role of glycosylation‐related genes in GBM subtyping, prognosis, and response to therapy. Methods We analyzed mRNA expression data and clinical information from The Cancer Genome Atlas (TCGA) and Gene Expression ...
Tong Zhao, Hongliang Ge, Chenchao Lin, Xiyue Wu, Jianwu Chen   +4 more
wiley   +1 more source

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

Annals 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, Sara Petrillo, Anna Capasso, Giorgia Coratti, Adele D'Amico, Michela Catteruccia, Maria Carmela Pera, Concetta Palermo, Marika Pane, Emanuela Abiusi, Gianpaolo Cicala, Marianna Villa, Chiara Bravetti, Chiara Arpaia, Agnese Novelli, Salvatore Falqui, Stefania Fiori, Giulia Napoli, Silvia Baroni, Francesco Danilo Tiziano, Enrico Bertini, Giacomo Comi, Stefania Corti, Eugenio Mercuri   +23 more
wiley   +1 more source

Nuclei‐Specific Amygdala Enlargement Is Linked to Psychiatric Comorbidities in Drug‐Resistant Focal Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amygdala enlargement has been the subject of controversial studies regarding its significance in terms of pathogenicity both in epilepsy and in psychiatric comorbidities such as anxiety, depression, and post‐traumatic stress disorder.
Hélène Mourre, Julia Makhalova, Lisa Soncin, Elodie Garnier, Hugo Dary, Arnaud Le Troter, Roy A. M. Haast, Benoit Testud, Marie Arthuis, Samuel Medina Villalon, Stanislas Lagarde, Francesca Pizzo, Christian Bénar, Jean‐Philippe Ranjeva, Maxime Guye, Fabrice Bartolomei   +15 more
wiley   +1 more source

The Impact of Diabetes and Metabolic Syndrome Burden on Pain, Neuropathy Severity and Fiber Type

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Determine the association between diabetes and metabolic syndrome (MetS) burden (number of MetS criteria fulfilled) and pain, neuropathy severity, and fiber type involvement in individuals with established polyneuropathy. Methods The Peripheral Neuropathy Research Registry was queried for individuals with type 1 and type 2 diabetes ...
Long Davalos, Brian C. Callaghan, Lavanya Muthukumar, Simone Thomas, Evan L. Reynolds, A. Gordon Smith, J. Robinson Singleton, Ahmet Höke, Senda Ajroud‐Driss, Mazen M. Dimachkie, Stefanie Geisler, David M. Simpson, PNRR Study Group, Amro M. Stino   +13 more
wiley   +1 more source

Patient Selection in Deep Brain Stimulation: A Role for Transcranial Direct Current Stimulation to Enhance the Levodopa Challenge?

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Dopaminergic medication and deep brain stimulation (DBS) improve motor symptoms in Parkinson's disease (PD), but levodopa response alone may not predict DBS outcomes. We retrospectively analyzed 19 PD patients undergoing levodopa challenges with and without prior transcranial direct current stimulation targeting a defined PD response network ...
Lukas L. Goede, Patricia Zvarova, Bahne H. Bahners, Andreas Horn   +3 more
wiley   +1 more source

Serotonergic and Dopaminergic Function in Neuropsychiatrically Asymptomatic People With HIV on Antiretroviral Therapy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau, Anna Lyndaker, Swati Shah, Paul Wakim, Amelia Mitchell, Cynthia Monroe, Alan Kim, Tracy L. Cropper, Govind Nair, Joseph Snow, Bryan R. Smith, Avindra Nath, Dima A. Hammoud   +12 more
wiley   +1 more source

CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive complaints without objective cognitive impairment in Parkinson's Disease, termed Parkinson's Disease‐Subjective Cognitive Decline (PD‐SCD), have been associated with cognitive decline. However, its progression is heterogeneous, highlighting the need for improved identification of patients at greater risk for deterioration ...
Jon Rodriguez‐Antiguedad, Arnau Puig‐Davi, Iñigo Ruíz‐Barrio, Javier Pagonabarraga, Anna Vázquez‐Oliver, Andrea Horta‐Barba, Jaime Kulisevsky, Saül Martínez‐Horta   +7 more
wiley   +1 more source

Coffee Consumption Is Associated With Later Age‐at‐Onset of Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Observation studies suggest that coffee consumption may lower the risk and delay the age‐at‐onset (AAO) of Parkinson's disease (PD). The aim of this study was to explore the causal relationship and genetic association between coffee consumption and the AAO, risk, and progression of PD. Using Mendelian randomization, we identified a significant
Dariia Kuzovenkova, Lang Liu, Ziv Gan‐Or, Konstantin Senkevich   +3 more
wiley   +1 more source

The Air of History (Part II) Medicine in the Middle Ages.

Heart Views, 2012
Hajar R.
europepmc   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

Annals 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, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price   +4 more
wiley   +1 more source