Results 111 to 120 of about 106,316 (267)
Systematic Multi‐Level Analyses Decode the Arthritis‐Neurodegeneration Axis With In Vivo Validation
Arthritis and neurodegeneration are usually studied as separate disorders, but this study connects them through population evidence, genetic inference, transcriptomic mapping, and mouse models. It highlights RNF40 as a context‐dependent joint‐brain candidate, induced in inflammatory joints yet functionally linked to dopamine‐neuron vulnerability ...
Jinwen Wang +7 more
wiley +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Polystyrene nanoplastics disrupt pancreatic immune–endocrine homeostasis by promoting MHC‐I‐associated dendritic cell activation and inflammatory crosstalk with β cells. This immune remodeling drives β‐cell dedifferentiation, impairs insulin secretion, and aggravates metabolic dysfunction, revealing a previously unrecognized immunometabolic mechanism ...
Conghui Qiao +10 more
wiley +1 more source
MetaboSense is a first‐of‐its‐kind microfluidic platform enabling continuous, in‐line monitoring of glucose and lactate during ex vivo lung perfusion. Combining a quantum dot–mediated aptamer assay with mixing, depletion, and optofluidic detection modules, it achieves 60–s temporal resolution and shows strong agreement with standard blood gas analyzers,
Sanjana Srikant +14 more
wiley +1 more source
Translational Gap in Biomarker Discovery: Tumor Surface Markers Rarely Mirror Circulating Levels
ABSTRACT Background Tumor‐associated cell surface proteins are frequently proposed as circulating biomarkers for colorectal cancer (CRC) based on their high tumor expression. However, many candidates identified through tissue‐based analyses fail to translate into clinically useful biomarkers.
Junko Mukohyama +9 more
wiley +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
The Risk of Cardiovascular Diseases for Shift Workers in the Prospective Heinz Nixdorf Recall Study
ABSTRACT Background Shift work can disrupt circadian rhythms and is postulated to play a role in cardiovascular diseases (CVD). In the German prospective population‐based Heinz Nixdorf Recall Study, we analyzed longitudinal associations between shift work and night‐shift work with CVD.
Katharina Wichert +7 more
wiley +1 more source
ABSTRACT Vascular Ehlers–Danlos syndrome (vEDS) is a hereditary connective tissue disorder caused by heterozygous pathogenic variants in COL3A1. European studies have shown that celiprolol may reduce the risk of life‐threatening vascular events, but outcomes in non‐European populations and the therapy's psychological impact remain unclear. We conducted
Megumi Furuhata‐Yoshimura +2 more
wiley +1 more source
ABSTRACT Microdeletions impacting 15q11.2 breakpoint (BP) 1 to BP2, adjacent to the Prader–Willi critical region, have previously described neuropsychiatric associations, with potential low penetrance presentations of congenital heart disease (CHD) also identified.
Morgan B. Wright +10 more
wiley +1 more source

