Comparing the Performance of Double-Stranded and Single-Stranded DNA Libraries for Ancient Oral Microbiome Reconstruction. [PDF]
Burge K +5 more
europepmc +1 more source
Augmenting and Assaying Nav1.1 Protein Quantity for Dravet Syndrome Therapy
ABSTRACT Dravet Syndrome (DS) is a developmental and epileptic encephalopathy predominantly caused by heterozygous loss‐of‐function variants in SCN1A, which encodes Nav1.1. Conserved upstream open reading frames (uORFs) in SCN1A were validated to regulate translation in reporter assays, demonstrating the therapeutic viability of increasing Nav1.1 from ...
Aiswarya Saravanan +7 more
wiley +1 more source
Implementing Taiwan National Health Insurance Quality Indicators as Clinical Quality Language on Fast Healthcare Interoperability Resources: Development and Feasibility Study. [PDF]
Chen MC +5 more
europepmc +1 more source
White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram +3 more
wiley +1 more source
Genome-targeted enrichment and sequencing of human-infecting Cryptosporidium spp. [PDF]
Bayona-Vásquez NJ +13 more
europepmc +1 more source
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source
Integrative single-cell and bulk transcriptomics with reverse network pharmacology prioritizes macrophage-associated candidate genes in Lyme arthritis. [PDF]
Dong Y +14 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

