Publications by authors named "D A Wells"

Article Synopsis
  • Duchenne muscular dystrophy (DMD) is a severe condition resulting from mutations in the dystrophin gene, and DE50-MD dogs serve as a model to test new therapies for this disease.
  • * Researchers aimed to find stable microRNA (miR) references for normalizing expression data across different ages and muscle groups in both healthy (WT) and DMD-affected dogs.
  • * The study identified four stable miRs (miR-191, let-7b, miR-125a, and miR-15a) that can be used to accurately normalize the expression levels of other miRs in muscle, indicating differences in miR levels between DE50-MD and WT dogs.
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Background: Root hairs are single-celled projections on root surfaces, critical for water and nutrient uptake. Here, we describe the first short root hair mutant in wheat ( L.), identified in a mutagenized population and termed here short root hair 1 ().

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Cardiac fluid dynamics fundamentally involves interactions between complex blood flows and the structural deformations of the muscular heart walls and the thin valve leaflets. There has been longstanding scientific, engineering, and medical interest in creating mathematical models of the heart that capture, explain, and predict these fluid-structure interactions (FSIs). However, existing computational models that account for interactions among the blood, the actively contracting myocardium, and the valves are limited in their abilities to predict valve performance, capture fine-scale flow features, or use realistic descriptions of tissue biomechanics.

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Accurate assessment of therapy response in myelodysplastic neoplasm (MDS) has been challenging. Directly monitoring mutational disease burden may be useful, but is not currently included in MDS response criteria, and the correlation of mutational burden and traditional response endpoints is not completely understood. Here, we used genome-wide and targeted next-generation sequencing (NGS) to monitor clonal and subclonal molecular disease burden in 452 samples from 32 patients prospectively treated in a clinical trial.

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Background And Purpose: Hyperglycemia following acute ischemic stroke (AIS) is associated with adverse outcomes including, hemorrhagic conversion and increased length of stay; however, the impact of glycemic variability is largely unknown. This study aims to evaluate the effect of glycemic variability on discharge outcomes in patients treated with alteplase for AIS.

Methods: A retrospective review of ischemic stroke patients who presented within 4.

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