ArticleScientific reports2025
Characterization of lactylation-based phenotypes and molecular biomarkers in sepsis-associated acute respiratory distress syndrome.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Correlation analysis of the expression levels of serum endothelial cell adhesion molecule-1 and sirtuin 1 protein in acute respiratory distress syndrome.Journal of medical biochemistry · 2026Article
- Association between glycemic variability and all-cause mortality in patients with sepsis-associated acute respiratory distress syndrome: a retrospective study based on the MIMIC database.Journal of thoracic disease · 2026Article
- Lactylation in tissue fibrosis: epigenetic mechanisms, metabolic crosstalk, and therapeutic opportunities.Journal of translational medicine · 2026Review
- Beyond a metabolite: lactate and lactylation in lung diseases.Respiratory research · 2026Review
- Artificial Intelligence- and Machine Learning-Assisted Subphenotyping for Personalized Immunotherapy in Sepsis.Journal of personalized medicine · 2026Review
- Lactylation: a novel epigenetic bridge connecting metabolic reprogramming and immune dysregulation in sepsis-associated ARDS.Frontiers in immunology · 2026Review
- Genetic Evidence Linking Lactylation-Related Gene Expression To Dementia Risk.Neuromolecular medicine · 2025Article
- Clinical Phenotyping in Acute Respiratory Distress Syndrome: Steps Towards Personalized Medicine.Journal of clinical medicine · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Sepsis-associated acute respiratory distress syndrome (ARDS) is a heterogeneous disease with high morbidity and mortality. Lactylation plays a crucial role in sepsis and sepsis-induced lung injury. This study aimed to identify distinct lactylation-based phenotypes in patients with sepsis-associated ARDS and determine relevant molecular biomarkers. We analyzed blood transcriptome and clinical data from patients with sepsis-associated ARDS and calculated the lactylation activity. KEGG pathway analysis, drug sensitivity prediction, and immune cell infiltration analysis were performed. Candidate molecular biomarkers were identified by intersecting the feature genes extracted from four machine learning models. Lactylation activity showed significant heterogeneity among patients with sepsis-associated ARDS, which enabled the classification into low- and high-lactylation activity phenotypes. Patients with high-lactylation experienced longer hospital stays and higher mortality rates, as well as distinct signaling pathways, drug responses, and circulating immune cell abundances. Six key markers (ALDOB, CCT5, EP300, PFKP, PPIA, and SIRT1) were identified to differentiate the two lactylation activity phenotypes, all significantly correlated with circulating immune cell populations. This study revealed significant heterogeneity in lactylation activity phenotypes among patients with sepsis-associated ARDS and identified potential biomarkers to facilitate the application of these phenotypes in clinical practice.
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