ArticleCirculation. Cardiovascular genetics2011
Transforming growth factor-beta signaling pathway in patients with Kawasaki disease.
Article in Circulation. Cardiovascular genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 93 papers, 2 of them syntheses that pooled it.
What it found
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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
93 citing papers in PubMed, 2 syntheses or guidelines pooled it, 150 citations in OpenAlex.
- MicroRNAs in Kawasaki disease: An update on diagnosis, therapy and monitoring.Frontiers in immunology · 2022Pooled it
- TGFB1 genetic polymorphisms and coronary heart disease risk: a meta-analysis.BMC medical genetics · 2012Pooled it
- Phase I/IIa Trial of Atorvastatin in Patients with Acute Kawasaki Disease with Coronary Artery Aneurysm.The Journal of pediatrics · 2019Trial
- miR-483 Targeting of CTGF Suppresses Endothelial-to-Mesenchymal Transition: Therapeutic Implications in Kawasaki Disease.Circulation research · 2017Trial
- Current Prognostic Models Fail to Reliably Distinguish Kawasaki Disease From Pediatric Multisystem Inflammatory Syndrome Temporally Associated With COVID-19.The Pediatric infectious disease journal · 2026Article
- Etiology Model of Kawasaki Disease and Multisystem Inflammatory Syndromes: Mast Cell Activation.Current issues in molecular biology · 2026Article
- The Potential Role of Endothelial Cells in the Pathophysiology, Diagnosis, and Management of Acute Kawasaki Disease.CJC open · 2026Review
- Mapping Drivers of Coronary Endothelial Activation and Endothelial-to-Mesenchymal Transition through Mimicking of Multimediator Inflammation in Kawasaki Disease Context.ACR open rheumatology · 2025Article
- Long-term risk of allergic disorders following Kawasaki disease: a population-based cohort study.BMC pediatrics · 2025Article
- Article
- TGFBR3 dependent mechanism of TGFB2 in smooth muscle cell differentiation and implications for TGFB2-related aortic aneurysm.Stem cells translational medicine · 2025Article
- Involvement of USP7 in aggravating Kawasaki disease by promoting TGFβ2 signaling mediated endothelial-mesenchymal transition and coronary artery remodeling.International immunopharmacology · 2025Article
- Associations of infection burden with Kawasaki disease in a population-based setting during 30 years.RMD open · 2025Article
- Polymorphism-driven immune disruptions in Kawasaki disease across populations: decoding the role of T and B-cells.Frontiers in immunology · 2025Review
- Endothelial Dysfunction: Molecular Mechanisms and Therapeutic Strategies in Kawasaki Disease.International journal of molecular sciences · 2024Review
- Regression effect of renin-angiotensin-aldosterone system inhibitors on Kawasaki disease patients with coronary artery aneurysm: a prospective, observational study.European journal of pediatrics · 2024Observational
- Coronary Arteries Lesions in Kawasaki Disease: Risk Factors in an Italian Cohort.Biomedicines · 2024Article
- Markers of Endothelial Dysfunction in Kawasaki Disease: An Update.Clinical reviews in allergy & immunology · 2024Review
- Transcriptome meta-analysis of Kawasaki disease in humans and mice.Frontiers in pediatrics · 2024Article
- Subgroups of children with Kawasaki disease: a data-driven cluster analysis.The Lancet. Child & adolescent health · 2023Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issuedDavila, Sonia [removed]
Authors and funding
27 authors at 1 institution in 1 country.
Funding
Abstract
backgroundTransforming growth factor (TGF)-β is a multifunctional peptide that is important in T-cell activation and cardiovascular remodeling, both of which are important features of Kawasaki disease (KD). We postulated that variation in TGF-β signaling might be important in KD susceptibility and disease outcome. METHODS AND
resultsWe investigated genetic variation in 15 genes belonging to the TGF-β pathway in a total of 771 KD subjects of mainly European descent from the United States, the United Kingdom, Australia, and the Netherlands. We analyzed transcript abundance patterns using microarray and reverse transcriptase-polymerase chain reaction for these same genes, and measured TGF-β2 protein levels in plasma. Genetic variants in TGFB2, TGFBR2, and SMAD3 and their haplotypes were consistently and reproducibly associated with KD susceptibility, coronary artery aneurysm formation, aortic root dilatation, and intravenous immunoglobulin treatment response in different cohorts. A SMAD3 haplotype associated with KD susceptibility replicated in 2 independent cohorts and an intronic single nucleotide polymorphism in a separate haplotype block was also strongly associated (A/G, rs4776338) (P=0.000022; odds ratio, 1.50; 95% confidence interval, 1.25 to 1.81). Pathway analysis using all 15 genes further confirmed the importance of the TGF-β pathway in KD pathogenesis. Whole-blood transcript abundance for these genes and TGF-β2 plasma protein levels changed dynamically over the course of the illness.
conclusionsThese studies suggest that genetic variation in the TGF-β pathway influences KD susceptibility, disease outcome, and response to therapy, and that aortic root and coronary artery Z scores can be used for phenotype/genotype analyses. Analysis of transcript abundance and protein levels further support the importance of this pathway in KD pathogenesis.
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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.