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The myofibrillar myopathy–linked variant DES-p.T341P impairs desmin filament assemblyNARA Subscribed
Background Desminopathies are clinical heterogenous and range from isolated skeletal myopathies to different cardiomyopathies or combinations of both. At the molecular level, an aberrant cytoplasmic desmin aggregation is a typical hallmark of pathogenic DES variants. Currently, it is difficult to predict an aberrant desmin aggregation of novel DES variants without functional analysis. Methods Therefore, we investigate in this...
How to Close Nutrient Cycles in Agriculture? Emission reduction potential of different technologies on an EU scaleNARA Subscribed
Sustainable agricultural intensification is essential to feed the growing global population with limited resources. However, agriculture contributes significantly to environmental issues, such as greenhouse gas (GHG) emissions and eutrophication. Optimizing nutrient use is key to improving agricultural productivity while mitigating environmental harm. This study examines the potential of innovative mitigation technologies at t...
Site Fidelity, Depth Preference and Vertical Movement Patterns of Lentic and Lotic European Catfish Silurus glanisNARA Subscribed
To study variables that may trigger the dispersion of the currently expanding European catfish in its native distribution limits, 42 individuals were captured from Upper Lake Constance (lentic) and 42 from two streaming tributaries (lotic), fitted with pressure and temperature loggers, and released at the site of capture (control: lotic or lentic) or into a new environment (lotic‐to‐lentic or lentic‐to‐lotic). Twenty‐seven fis...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...