PREDICTIVE VALUE OF H3K18 LACTYLATION FOR EARLY DETECTION AND PROGNOSIS OF SEPSIS-RELATED ACUTE RESPIRATORY DISTRESS SYNDROME: A PROSPECTIVE OBSERVATIONAL CLINICAL STUDY
Background: This study aimed to investigate the predictive value of histone H3 lysine 18 lactylation (H3K18la) for the early identification and prognosis of sepsis-related acute respiratory distress syndrome (ARDS). Methods: This prospective observational study included patients with sepsis admitted to the intensive care unit (ICU) between March 2023 and September 2024. The patients were divided into two groups: the sepsis with ARDS group and the sepsis without ARDS group. Clinical data were collected within 24 h of ICU admission. Bronchoalveolar lavage fluid (BALF) samples were obtained on day 1 for all participants, and a second BALF sample was collected on day 3 from patients requiring continued mechanical ventilation. Results: In total, 91 sepsis patients were enrolled in the study: 36 with ARDS and 55 without ARDS. H3K18la levels in BALF were significantly higher in the sepsis-related ARDS group than in the non-ARDS group and the control group ( P < 0.05). Elevated H3K18la levels were positively correlated with inflammatory markers (lactate, IL-6, and TNF-α), Acute Physiology and Chronic Health Evaluation II scores, and Sequential Organ Failure Assessment scores ( P < 0.01). Logistic regression analysis revealed that H3K18la was an independent predictor of ARDS development ( P < 0.05), and ROC curve analysis revealed that H3K18la had high diagnostic accuracy (AUC = 0.804). Combining H3K18la with the Sequential Organ Failure Assessment score further improved diagnostic performance (AUC = 0.830, sensitivity = 88.9%, specificity = 67.3%). Furthermore, H3K18la levels significantly increased on day 3 in the mortality group. Conclusion: H3K18la is a promising biomarker for the early identification and prognostic prediction of sepsis-related ARDS.
Authors
- Qingyun Duan (ORCID: https://orcid.org/0000-0001-9955-1512)
- Yang Shang
- Xing Li (ORCID: https://orcid.org/0000-0003-1935-7766)
- Jialong Zhang (ORCID: https://orcid.org/0000-0002-1170-2337)
- Zhongqian Lu (ORCID: https://orcid.org/0009-0007-8411-4919)
- Genhua Mu
- Yijun Deng
Institutions
- Xuzhou Medical College (CN)
- Nantong University (CN)
- Early Manuscripts Electronic Library (US)
- Yancheng First People's Hospital (CN)
- Yancheng Teachers University (CN)
Publication Details
- Journal
- Shock
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1097/shk.0000000000002601
- Citations
- 4
- Primary Topic
- Inflammation biomarkers and pathways
- Type
- article
- Field-Weighted Citation Impact
- 3.19