Results 201 to 210 of about 6,256,490 (293)

Periostin‐CCL3 Feedforward Signaling Loop Promotes Cardiac Fibrosis and Cardiomyocyte Necroptosis in Arrhythmogenic Cardiomyopathy

open access: yesAdvanced Science, EarlyView.
POSTN‐CCL3 signaling forms a feed‐forward circuit between cardiomyocytes and cardiac myofibroblasts in arrhythmogenic cardiomyopathy. POSTN activates JNK/RIP3‐dependent necroptotic signaling and JNK/ETS2‐induced CCL3 expression in cardiomyocytes. In turn, CCL3‐CCR5 signaling in cardiac myofibroblasts activates NF‐κB/p65 and promotes POSTN expression ...
Tiantian Wu   +12 more
wiley   +1 more source

The GPX3‐VCAM1 Axis Gates Pro‐Fibrotic Tubule Cell Fate in Hyperuricemic Nephropathy

open access: yesAdvanced Science, EarlyView.
Hyperuricemia induces NLRP3 inflammasome signaling activation and downregulation of GPX3 in proximal tubular epithelial cells, leading to oxidative stress–driven VCAM1 upregulation, emergence of pro‐fibrotic proximal tubule cells, macrophage recruitment, and renal fibrosis.
Yunfei Qi   +11 more
wiley   +1 more source

Chinese Expert Consensus on the Clinical Application of Finerenone in Geriatric Comorbidities

open access: yesAGING MEDICINE, EarlyView.
Mineralocorticoid receptor (MR) overactivation drives inflammation, oxidative stress, and fibrosis in the heart, kidneys, and vasculature, leading to cardiorenal dysfunction. MR signaling promotes hypertrophy, remodeling, and injury through pathways like oxidative stress and inflammation, resulting in vascular stiffness and progressive organ damage ...
Xiaoming Wang, Cuntai Zhang
wiley   +1 more source

Long Noncoding RNAs in Aortic Dissection: Mechanistic Roles and Therapeutic Potential

open access: yesAGING MEDICINE, EarlyView.
Aortic dissection (AD) involves vascular inflammation, VSMC dysfunction, and ECM degradation. LncRNAs regulate AD progression via ceRNA networks, with great potential as diagnostic biomarkers and therapeutic targets, while further clinical validation is needed.
Chao Chang   +5 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong   +5 more
wiley   +1 more source

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