Validity and Reliability of Clinical and Patient‐Reported Outcomes in Multisystem Proteinopathy 1
ABSTRACT Objective Valosin‐containing protein (VCP)‐associated multisystem proteinopathy 1 (MSP1) is caused by variants in the VCP gene. MSP1 results in various phenotypes including progressive myopathy, Paget's disease of bone, frontotemporal dementia, amyotrophic lateral sclerosis, and parkinsonism, among others.
Lindsay N. Alfano+15 more
wiley +1 more source
Genomic Analysis Reveals the Fast-Growing Trait and Improvement Potential for Stress Resistance in the Elite Poplar Variety <i>Populus</i> × <i>euramericana</i> 'Bofeng 3'. [PDF]
Zhong S+7 more
europepmc +1 more source
Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma
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+4 more
wiley +1 more source
Prebiotic potential of oligosaccharides extracted from improved Ugandan varieties of millet, sesame, soybean, and sorghum: enhancing probiotic growth and enteric pathogen inhibition. [PDF]
Alowo D, Olum S, Mukisa IM, Ongeng D.
europepmc +1 more source
Coffee Consumption Is Associated With Later Age‐at‐Onset of Parkinson's Disease
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+3 more
wiley +1 more source
Pharmacognostic Evaluation and Antioxidant Profiling of Five Varieties of <i>Ribes nigrum</i> Grown in Romania. [PDF]
Ștefănescu R+5 more
europepmc +1 more source
Precision‐Optimised Post‐Stroke Prognoses
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
Water Stress Effects on Biomass Allocation and Secondary Metabolism in CBD-Dominant <i>Cannabis sativa</i> L. [PDF]
Cappello Fusaro M, Lucchetta I, Bona S.
europepmc +1 more source