Observational studyScientific reports2021
Identification of early and intermediate biomarkers for ARDS mortality by multi-omic approaches.
Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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Who cites it
19 citing papers in PubMed.
- Early differential protein expression in blood and bronchoalveolar fluid among ARDS phenotypes.Scientific reports · 2026Trial
- Diminished plasma levels of GPIb-Frontiers in medicine · 2026Trial
- Dynamics of severity-associated immune remodeling by granulocytes and macrophages in acute lung injury.iScience · 2026Article
- Machine learning in ARDS: an intensivist's guide to artificial intelligence applications.Critical care (London, England) · 2026Review
- Deep Biological Clocks in Critical Care Medicine: A Scoping Review Toward Translational Precision Care.Journal of personalized medicine · 2026Review
- Perioperative Blood Biomarkers of Infectious and Non-Infectious Postoperative Pulmonary Complications: A Narrative Review.Journal of clinical medicine · 2026Review
- Bronchoalveolar Lavage Fluid Microbial and Metabolic Alterations Associated with Acute Respiratory Distress Syndrome in Hospitalized Patients with Community-Acquired Pneumonia.Journal of inflammation research · 2026Article
- Predictive modeling of ARDS mortality integrating biomarker/cytokine, clinical and metabolomic data.Translational research : the journal of laboratory and clinical medicine · 2025Article
- 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
- Exploration of the Mechanism of Tanre Qing Injection in Treating Acute Respiratory Distress Syndrome through Network Pharmacology, Molecular Docking, and Animal Experiments.Combinatorial chemistry & high throughput screening · 2025Article
- Signaling pathways of marine-derived natural products on lung injury: from theFrontiers in pharmacology · 2025Review
- Early predictive values of clinical assessments for ARDS mortality: a machine-learning approach.Scientific reports · 2024Observational
- Postoperative bioactive adrenomedullin is associated with the onset of ARDS and adverse outcomes in patients undergoing open thoracoabdominal aortic surgery.Scientific reports · 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
- Clinical Outcome Discrimination in Pediatric ARDS by Chest Radiograph Severity Scoring.Canadian respiratory journal · 2022Article
- Mechanistic Understanding of Lung Inflammation: Recent Advances and Emerging Techniques.Journal of inflammation research · 2022Review
- Screening the Potential Biomarkers of COVID-19-Related Thrombosis Through Bioinformatics Analysis.Frontiers in genetics · 2022Article
- Impact of fecal microbiota transplantation on lung function and gut microbiome in an ARDS rat model: A multi-omics analysis including 16S rRNA sequencing, metabolomics, and transcriptomics.International journal of immunopathology and pharmacologyArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The lack of successful clinical trials in acute respiratory distress syndrome (ARDS) has highlighted the unmet need for biomarkers predicting ARDS mortality and for novel therapeutics to reduce ARDS mortality. We utilized a systems biology multi-"omics" approach to identify predictive biomarkers for ARDS mortality. Integrating analyses were designed to differentiate ARDS non-survivors and survivors (568 subjects, 27% overall 28-day mortality) using datasets derived from multiple 'omics' studies in a multi-institution ARDS cohort (54% European descent, 40% African descent). 'Omics' data was available for each subject and included genome-wide association studies (GWAS, n = 297), RNA sequencing (n = 93), DNA methylation data (n = 61), and selective proteomic network analysis (n = 240). Integration of available "omic" data identified a 9-gene set (TNPO1, NUP214, HDAC1, HNRNPA1, GATAD2A, FOSB, DDX17, PHF20, CREBBP) that differentiated ARDS survivors/non-survivors, results that were validated utilizing a longitudinal transcription dataset. Pathway analysis identified TP53-, HDAC1-, TGF-β-, and IL-6-signaling pathways to be associated with ARDS mortality. Predictive biomarker discovery identified transcription levels of the 9-gene set (AUC-0.83) and Day 7 angiopoietin 2 protein levels as potential candidate predictors of ARDS mortality (AUC-0.70). These results underscore the value of utilizing integrated "multi-omics" approaches in underpowered datasets from racially diverse ARDS subjects.
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