ArticleJournal of translational medicine2019
DNA methylation exploration for ARDS: a multi-omics and multi-microarray interrelated analysis.
Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 36 citations in OpenAlex.
- Molecular Mechanisms of Mangiferin on Neuroinflammation for Treating Major Depressive Disorder Based on Network Pharmacology and Bioinformatics Analysis.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026Article
- Deep Biological Clocks in Critical Care Medicine: A Scoping Review Toward Translational Precision Care.Journal of personalized medicine · 2026Review
- Advancing omics technologies in acute respiratory distress syndrome: paving the way for personalized medicine.Intensive care medicine experimental · 2025Review
- Advancements in omics technologies: Molecular mechanisms of acute lung injury and acute respiratory distress syndrome (Review).International journal of molecular medicine · 2025Review
- Identifying the signature of NAD+ metabolism-related genes for immunotherapy of gastric cancer.Heliyon · 2024Article
- Sociodemographic and Lifestyle Factors and Epigenetic Aging in US Young Adults: NIMHD Social Epigenomics Program.JAMA network open · 2024Article
- Comprehensive bioinformatics analysis unveils THEMIS2 as a carcinogenic indicator related to immune infiltration and prognosis of thyroid cancer.Scientific reports · 2024Article
- The innovative checkpoint inhibitors of lung adenocarcinoma, cg09897064 methylation and ZBP1 expression reduction, have implications for macrophage polarization and tumor growth in lung cancer.Journal of translational medicine · 2024Article
- Identification of a pediatric acute hypoxemic respiratory failure signature in peripheral blood leukocytes at 24 hours post-ICU admission with machine learning.Frontiers in pediatrics · 2023Article
- Bariatric surgery-induced weight loss and associated genome-wide DNA-methylation alterations in obese individuals.Clinical epigenetics · 2022Article
- Epigenetic underpinnings of inflammation: Connecting the dots between pulmonary diseases, lung cancer and COVID-19.Seminars in cancer biology · 2022Review
- Construction and validation of mIET systems biology · 2022Article
- A combined risk model for the multi-encompassing identification of heterogeneities of prognoses, biological pathway variations and immune states for sepsis patients.BMC anesthesiology · 2022Article
- Mechanistic Understanding of Lung Inflammation: Recent Advances and Emerging Techniques.Journal of inflammation research · 2022Review
- Identification of candidate genes associated with clinical onset of Alzheimer's disease.Frontiers in neuroscience · 2022Article
- ARDS Patients Exhibiting a "Hyperinflammatory Anasarca" Phenotype Could Benefit From a Conservative Fluid Management Strategy.Frontiers in medicine · 2021Article
- Integrative Analysis of Identifying Methylation-Driven Genes Signature Predicts Prognosis in Colorectal Carcinoma.Frontiers in oncology · 2021Article
- Molecular Mechanisms of Vascular Damage During Lung Injury.Advances in experimental medicine and biology · 2021Review
- Construction and validation of an RNA-binding protein-associated prognostic model for colorectal cancer.PeerJ · 2021Article
- Identification prognosis-associated immune genes in colon adenocarcinoma.Bioscience reports · 2020Article
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
backgroundDespite advances in clinical management, there are currently no novel therapeutic targets for acute respiratory distress syndrome (ARDS). DNA methylation, as a reversible process involved in the development and progression of many diseases, would be used as potential therapeutic targets to improve the treatment strategies of ARDS. However, the meaningful DNA methylation sites associated with ARDS still remain largely unknown. We sought to determine the difference in DNA methylation between ARDS patients and healthy participants, and simultaneously, the feasible DNA methylation markers for potential therapeutic targets were also explored.
methodsMicroarray data of human blood samples for ARDS and healthy participants up to June 2019 was searched in GEO database. The difference analyses between ARDS and healthy population were performed through limma R package, and furthermore, interrelated analyses of DNA methylation and transcript were accomplished by VennDiagram R package. Perl and sva R package were used to merge microarray data and decrease heterogeneities among different studies. The biological function of screened methylation sites and their regulating genes were annotated according to UniProt database and Pubmed database. GO term and KEGG pathway enrichment analyses were conducted using DAVID 6.8 and KOBAS 3.0. The meaningful DNA methylation markers to distinguish ARDS from healthy controls were explored through ROC (receiver operating characteristic curves) analyses.
resultsFive datasets in GEO databases (one DNA methylation dataset, three mRNA datasets, and one mRNA dataset of healthy people) were enrolled in present analyses finally, and the series were GSE32707, GSE66890, GSE10474, GSE61672, and GSE67530. These databases included 99 patients with ARDS (within 48 h of onset) and 136 healthy participants. Difference analyses indicated 44,439 DNA methylation alterations and 29 difference mRNAs between ARDS and healthy controls. 40 methylation variations regulated transcription of 16 genes was explored via interrelated analysis. According to the functional annotations, 30 DNA methylation sites were related to the imbalance of inflammation or immunity, endothelial function, epithelial function and/or coagulation function. cg03341377, cg24310395, cg07830557 and cg08418670, with AUC up to 0.99, might be the meaningful characteristics with the highest performance to distinguish ARDS from healthy controls.
conclusions44,439 DNA methylation alterations and 29 difference mRNAs exist between ARDS and healthy controls. 30 DNA methylation sites may regulate transcription of 10 genes, which take part in pathogenesis of ARDS. These findings could be intervention targets, with validation experiments to be warranted to assess these further.
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.