ReviewCells2025
Bridging the Translational Gap: Rethinking Smooth Muscle Cell Plasticity in Atherosclerosis Through Human-Relevant In Vitro Models.
Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Integration of Three-Dimensional Cell Culture Techniques and Photobiomodulation for Supportive Differentiation of Adipose-Derived Stem Cells into Smooth Muscle.Cell biochemistry and function · 2026Review
- Engineering and Integrating Blood Vessel Organoids: a Comprehensive Blueprint for Physiological and Disease Modeling.Stem cell reviews and reports · 2026Review
- Engineering a Compartmentalized Multi-Cell Co-Culture Hydrogel System Using Beeswax/Fucoidan/Alginate for Cultured Meat Modeling.Foods (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
While vascular smooth muscle cell (SMC) plasticity is increasingly recognised as a critical driver of atherosclerosis progression, most mechanistic insights derive from murine models that fail to fully capture the diversity and complexity of human SMC phenotypes. This creates a translational gap in our understanding of disease-relevant cell states. Human single-cell and genetic studies reveal a broader spectrum of SMC phenotypes, many of which remain uncaptured by existing experimental models. In this review, we argue that better human in vitro models, when critically assessed and integrated with omics data from human disease, can help bridge this gap. We examine how different in vitro systems, from simple monocultures to advanced co-culture and 3D platforms, can model human SMC plasticity, and how benchmarking against human single-cell and multi-omics data can guide model selection, validation, and refinement.
Indexed as
Identifiers
What 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.