ReviewJournal of physiology and biochemistry2025
The role of cell junctions in atherosclerosis: implications for inflammation, endothelial dysfunction, and plaque stability.
Review in Journal of physiology and biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Targeting eHsp90α/GRP78 signaling-mediated endothelial barrier dysfunction in diabetic atherosclerosis: evidence from clinical and experimental studies.Molecular and cellular biochemistry · 2026Article
- Artificial Gap Junctional Channel Inhibiting the Proliferation of Hepatocellular Carcinoma Cells.Angewandte Chemie (International ed. in English) · 2026Article
- Comprehensive analysis of efferocytosis-related genes in diagnosis and immune infiltration in atherosclerosis: based on bulk and single-cell RNA sequencing data.Frontiers in cell and developmental biology · 2026Article
- Atherosclerosis features in rheumatic diseases - focus on peripheral artery disease.Frontiers in immunology · 2026Review
- CUD003, a Novel Curcumin Derivative, Ameliorates LPS-Induced Impairment of Endothelium-Dependent Relaxation and Vascular Inflammation in Mice.International journal of molecular sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Atherosclerosis, a chronic inflammatory disease, involves a complex interplay between endothelial cells, smooth muscle cells, and inflammatory mediators. Cell-to-cell junctions, including adherens junctions (AJs), tight junctions (TJs), and gap junctions (GJs), play a critical role in maintaining vascular integrity and regulating cellular interactions in the vascular wall. This review summarises the molecular mechanisms by which these junctions contribute to atherosclerosis, focusing on key proteins like VE-cadherin (AJs), ZO-1, occludin, and claudins (TJs), and connexins (GJs). Dysregulation of these junctions, driven by factors such as oxidative stress, pro-inflammatory cytokines, atheroprone shear stress (aSS), and lipid-mediated signalling pathways, leads to endothelial dysfunction, increased permeability, monocyte infiltration, and plaque instability. Furthermore, the role of signalling pathways, including NFκB, PI3K/AKT, and Wnt/β-catenin, in the regulation of junctional proteins is explored. Emerging factors, including oxygenated cholesterol, radiation, and various drugs, provide new insights into junctional modulation in atherosclerosis. The potential of targeting junctional proteins and their associated pathways for therapeutic interventions is also discussed. Future studies focusing on the detailed mechanisms of junctional dysregulation in vivo and the clinical translation of these findings are necessary to develop novel therapeutic strategies for atherosclerosis. Clinical trial number Not applicable.
Indexed as
Identifiers
40614036What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.