ReviewFrontiers in cell and developmental biology2020
Aortic "Disease-in-a-Dish": Mechanistic Insights and Drug Development Using iPSC-Based Disease Modeling.
Review in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 27 citations in OpenAlex.
- In vitro model assesses the susceptibility of polymeric scaffolds for material-driven heart valve regeneration to calcification.In vitro models · 2025Article
- Therapeutic Opportunities of Marfan Syndrome: Current Perspectives.Drug design, development and therapy · 2025Review
- Applications, Limitations, and Considerations of Clinical Trials in a Dish.Bioengineering (Basel, Switzerland) · 2024Review
- An in vitro approach reveals molecular mechanisms underlying endocrine disruptor-induced epimutagenesis.eLife · 2024Article
- Using Genomics to Identify Novel Therapeutic Targets for Aortic Disease.Arteriosclerosis, thrombosis, and vascular biology · 2024Review
- Understanding genomic medicine for thoracic aortic disease through the lens of induced pluripotent stem cells.Frontiers in cardiovascular medicine · 2024Review
- Human stem cell models for Marfan syndrome: aFrontiers in cell and developmental biology · 2024Review
- Article
- Enigma of aortic aneurysms continues to be enigmatic!Indian journal of thoracic and cardiovascular surgery · 2022Article
- Toward precision medicine in vascular connective tissue disorders.American journal of medical genetics. Part A · 2021Review
- Integration of Transformative Platforms for the Discovery of Causative Genes in Cardiovascular Diseases.Cardiovascular drugs and therapy · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Thoracic aortic diseases, whether sporadic or due to a genetic disorder such as Marfan syndrome, lack effective medical therapies, with limited translation of treatments that are highly successful in mouse models into the clinic. Patient-derived induced pluripotent stem cells (iPSCs) offer the opportunity to establish new human models of aortic diseases. Here we review the power and potential of these systems to identify cellular and molecular mechanisms underlying disease and discuss recent advances, such as gene editing, and smooth muscle cell embryonic lineage. In particular, we discuss the practical aspects of vascular smooth muscle cell derivation and characterization, and provide our personal insights into the challenges and limitations of this approach. Future applications, such as genotype-phenotype association, drug screening, and precision medicine are discussed. We propose that iPSC-derived aortic disease models could guide future clinical trials via "clinical-trials-in-a-dish", thus paving the way for new and improved therapies for patients.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.