Endothelial DANCR deficiency promotes atherosclerotic plaque instability by targeting ribosomal protein L22.
Unknown authors
Aug 2026· Journal of Advanced Research· 0 citations· 42 references
Medicine
TL;DR
Endothelial DANCR deficiency promotes atherosclerotic plaque instability through activation of the RPL22/p53 pathway, suggesting DANCR as a potential protective factor and therapeutic target in atherosclerosis.
Abstract
INTRODUCTION
Long noncoding RNAs (lncRNAs) are key regulators of vascular endothelial function. The lncRNA differentiation antagonizing non-protein coding RNA (DANCR) is implicated in cell proliferation and inflammatory responses; however, its specific role in atherosclerosis remains undefined.
Objective
To investigate the role of DANCR in modulating endothelial adhesive capacity and atherosclerotic plaque instability.
Methods
DANCR expression was profiled in vascular tissues and cell lines using RNA fluorescence in situ hybridization and real-time qPCR. Endothelial-specific DANCR-knockout mice were generated and injected with recombinant adeno-associated virus carrying murine PCSK9 to induce atherosclerosis. Chromatin isolation by RNA purification followed by sequencing was performed to identify potential targets of DANCR. Plasma DANCR level was measured in healthy subjects (n = 42) and in patients with mixed plaques detected by coronary computed tomography angiography (n = 30).
Results
DANCR expression was predominantly expressed in endothelial cells and was significantly lower by 43% in the endothelium of human carotid plaques than normal vessels. Endothelial-specific knockout of DANCR in mice led to a 78% increase in aortic plaque area and a 1.1-fold elevation in the plaque instability index, characterized by enlarged necrotic cores, elevated type III/I collagen ratio, and increased macrophage infiltration. The ribosomal protein L22 (RPL22) was identified to be a target of DANCR which repressed its transcriptional expression. Endothelial-specific knockdown of RPL22 reversed the plaque progression and instability induced by DANCR deficiency in vivo. In vitro, DANCR reduced endothelial adhesion capacity and the expression of ICAM1 and VCAM1 via inhibition of the RPL22/p53 pathway. Clinically, plasma DANCR level was lower in patients with mixed plaques compared with control subjects.
Conclusions
Endothelial DANCR deficiency promotes atherosclerotic plaque instability through activation of the RPL22/p53 pathway, suggesting DANCR as a potential protective factor and therapeutic target in atherosclerosis.
This study constructed a pH-responsive P-TN/SF@Fe-Cur composite coating that demonstrated significant anti-infective, anti-inflammatory, antioxidant, pro-angiogenic, and pro-osteogenic effects in rat subcutaneous infection and femoral defect models.
The results show that alternative transcript diversity extensively enters translation-supported proteoform space and establish a systematic link between transcript variation and protein functional diversification.
Felicia T. Jiang, Dengwang Chen, Ziwei Wang et al.· bioRxiv· 1 citation
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Amer Chabili, Z. Hakkoum, F. Minaoui et al.· Plant Science· 1 citation
ProteinReasoner is developed, a multimodal generative protein foundation model that sequentially connects amino acid sequence, evolutionary constraints and three-dimensional structure within a shared autoregressive architecture and suggests a general route towards reasoning across interdependent representations in other scientific domains.
Chaozhong Liu, Linlin Chao, Shaomin Ji et al.· bioRxiv· 1 citation
HydroGym is introduced, a solver-independent reinforcement learning platform providing more than 60 validated, openly available flow control environments spanning from canonical laminar flows to complex turbulent flows, with systematic progression in the Reynolds number up to Re = 4 × 105, and Mach number variations in two and three dimensions.
Christian Lagemann, Sajeda Mokbel, Miro Gondrum et al.· Nature· 1 citation
A protein's function follows from the structure it adopts, and which structure that is depends on the pathway taken. In programmable matter the target is fixed before assembly, and whatever else forms is treated as error. Here we show that pathways themselves form a design space. Using reinforcement learning, we fold model DNA-coated droplet chains into rigid two-dimensional geometries, uncovering two classes of pathways: downhill, in which bonds are only added, and detour, in which bonds are broken and remade before the target is reached: for some the only route that exists. Coarse-graining pathways by interactions gives experimentally realizable protocols. Some produce one geometry, others several: structures sharing a detour route can be cycled between, while those that coexist assemble into superstructures inaccessible to a uniform product. Function emerges from the pathways rather than being designed. Designing the process instead of the components could give colloidal materials that reconfigure and repair themselves on demand.
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