Characterizing individual muscle behavior is crucial for understanding joint function and adaptations to exercise, diseases, or aging. Shear wave elastography (SWE) is a promising tool for measuring the intrinsic material properties of muscle. This study assessed the passive and active shear modulus of the triceps surae muscle group in 14 volunteers (7 females, 25.
View Article and Find Full Text PDFOrnithine transcarbamylase deficiency (OTCD) is the most common urea-cycle disorder, characterized by hyperammonemia and accompanied by a high unmet patient need. mRNA therapies have been shown to be efficacious in hypomorphic Sparse-fur abnormal skin and hair (Spf-ash) mice, a model of late-onset disease. However, studying the efficacy of ornithine transcarbamylase (OTC) mRNA therapy in traditional knockout mice, a model for severe early-onset OTCD, is hampered by the rapid lethality of the model and poor lipid nanoparticle (LNP) uptake into neonatal mouse liver.
View Article and Find Full Text PDFBackground: Diet plays a vital role in human health and environmental effects. Monitoring diet quality and its relationship to both health and environment are essential for policy making.
Objectives: This study aimed to analyze trends in the Planetary Health Diet Index (PHDI) and its associations with daily greenhouse gas (GHG) emissions from food, disease-related biomarkers, anthropometric measurements, obesity, and all-cause mortality in the United States population.
BMC Health Serv Res
December 2024
Background: A large number of people in Germany have no health insurance. Their access to the official healthcare system is significantly more difficult or impossible. Charitable institutions try to provide medical care and create parallel healthcare structures.
View Article and Find Full Text PDFExplaining how neuronal activity gives rise to cognition arguably remains the most significant challenge in cognitive neuroscience. We introduce neuro-cognitive multilevel causal modeling (NC-MCM), a framework that bridges the explanatory gap between neuronal activity and cognition by construing cognitive states as (behaviorally and dynamically) causally consistent abstractions of neuronal states. Multilevel causal modeling allows us to interchangeably reason about the neuronal- and cognitive causes of behavior while maintaining a physicalist (in contrast to a strong dualist) position.
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