ArticleFrontiers in genetics2021
Significance of RNA N6-Methyladenosine Regulators in the Diagnosis and Subtype Classification of Childhood Asthma Using the Gene Expression Omnibus Database.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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
47 citing papers in PubMed, 82 citations in OpenAlex.
- From Susceptibility to Severity: The Impact of Interleukin-33 rs1929992 Polymorphism on Asthma in a Taiwanese Population.Life (Basel, Switzerland) · 2026Article
- Fueling asthma inflammation via bioenergetic metabolic reprogramming.Redox biology · 2026Article
- VIRMA modulates function of photoreceptor cells through m6A modification and alternative splicing.JCI insight · 2026Article
- FTO-ACKR3 Axis Regulates Polycyclic Aromatic Hydrocarbons-Induced Asthma Attacks via AhR-Mediated mEnvironment & health (Washington, D.C.) · 2026Article
- WTAP Promotes the Excessive Proliferation of Airway Smooth Muscle Cells in Asthma by Enhancing AXIN1 Levels Through the Recognition of YTHDF2.Biochemical genetics · 2025Article
- Structural and Functional Studies on Key Epigenetic Regulators in Asthma.Biomolecules · 2025Review
- M6A Methylase METTL3-mediated downregulation of TEP1 mRNA stability attenuates PDGF-BB-induced HASMC remodeling and inflammation via macrophage polarization.BMC pediatrics · 2025Article
- Research on RNA modification in disease diagnosis and prognostic biomarkers: current status and challenges.Briefings in bioinformatics · 2025Review
- Article
- [Research progress on N6-methyladenosine and ferroptosis in childhood combined allergic rhinitis and asthma syndrome].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Review
- Targeting Nrf2/PHKG2 axis to enhance radiosensitivity in NSCLC.NPJ precision oncology · 2024Article
- Urine metabolomics signature reveals novel determinants of adrenal suppression in children taking inhaled corticosteroids to control asthma symptoms.Immunity, inflammation and disease · 2024Article
- Identification of mitochondria-related biomarkers in childhood allergic asthma.BMC medical genomics · 2024Article
- Article
- m6A methylation modification and immune infiltration analysis in osteonecrosis of the femoral head.Journal of orthopaedic surgery and research · 2024Article
- Role and regulators of NFrontiers in pharmacology · 2024Review
- Exploring the impact of mFrontiers in immunology · 2024Review
- Article
- Article
- Significance of methylation-related genes in diagnosis and subtype classification of renal interstitial fibrosis.Hereditas · 2023Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA N6-methyladenosine (m6A) regulators play important roles in a variety of biological functions. Nonetheless, the roles of m6A regulators in childhood asthma remain unknown. In this study, 11 significant m6A regulators were selected using difference analysis between non-asthmatic and asthmatic patients from the Gene Expression Omnibus GSE40888 dataset. The random forest model was used to screen five candidate m6A regulators (fragile X mental retardation 1, KIAA1429, Wilm's tumor 1-associated protein, YTH domain-containing 2, and zinc finger CCCH domain-containing protein 13) to predict the risk of childhood asthma. A nomogram model was established based on the five candidate m6A regulators. Decision curve analysis indicated that patients could benefit from the nomogram model. The consensus clustering method was performed to differentiate children with asthma into two m6A patterns (clusterA and clusterB) based on the selected significant m6A regulators. Principal component analysis algorithms were constructed to calculate the m6A score for each sample to quantify the m6A patterns. The patients in clusterB had higher m6A scores than those in clusterA. Furthermore, we found that the patients in clusterA were linked to helper T cell type 1 (Th1)-dominant immunity while those in clusterB were linked to Th2-dominant immunity. In summary, m6A regulators play nonnegligible roles in the occurrence of childhood asthma. Our investigation of m6A patterns may be able to guide future immunotherapy strategies for childhood asthma.
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.