ArticleFrontiers in genetics2022
Exploration of Potential Biomarker Genes and Pathways in Kawasaki Disease: An Integrated
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis 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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- S100 proteins in IgA vasculitis and other systemic vasculitides - from pathogenic mechanisms to clinical biomarkers: a systematic review.Frontiers in immunology · 2026Pooled it
- Long-term risk of allergic disorders following Kawasaki disease: a population-based cohort study.BMC pediatrics · 2025Article
- Single cell sequencing technology reveals the correlation between B lymphocytes and vascular inflammatory symptoms of Kawasaki disease.Translational pediatrics · 2025Article
- Identification and Validation of Potential Biomarkers and Therapeutic Targets of COVID-19-related Depression.Combinatorial chemistry & high throughput screening · 2025Article
- InTiCAR: Network-based identification of significant inter-tissue communicators for autoimmune diseases.Computational and structural biotechnology journal · 2025Article
- Joint multi-omics discriminant analysis with consistent representation learning using PANDA.Research square · 2024Article
- Combination of S100A12/TLR2 signaling molecules and clinical indicators in a new predictive model for IVIG-resistant Kawasaki disease.Scientific reports · 2024Article
- Bioinformatics analysis and identification of hub genes of neutrophils in Kawasaki disease: a pivotal study.Clinical rheumatology · 2023Article
- From Co-Infections to Autoimmune Disease via Hyperactivated Innate Immunity: COVID-19 Autoimmune Coagulopathies, Autoimmune Myocarditis and Multisystem Inflammatory Syndrome in Children.International journal of molecular sciences · 2023Review
- Article
- Identifying differentially expressed genes and miRNAs in Kawasaki disease by bioinformatics analysis.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kawasaki disease (KD) is a common childhood systemic vasculitis with a special predilection for coronary arteries. Even after more than five decades of the initial description of the disease, the etiology of KD remains an enigma. This transcriptome data re-analysis study aimed to elucidate the underlying pathogenesis of KD using a bioinformatic approach to identify differentially expressed genes (DEGs) to delineate common pathways involved in KD. Array datasets from the Gene Expression Omnibus database were extracted and subjected to comparative meta-analysis for the identification of prominent DEGs. Fifteen hub genes with high connectivity were selected from these DEGs (
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.