ArticleJournal of inflammation research2025
Endothelial Injury-Induced Shedding of Thrombomodulin as a Biomarker for Predicting Adverse Prognosis in Sepsis.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Angiopoietin-2 Surpasses Soluble Thrombomodulin and Syndecan-1 in Characterizing Septic Shock and Predicting Mortality--A Prospective Observational Study.Journal of inflammation research · 2026Article
- Gut microbiota and sepsis: mechanisms, clinical correlations, and therapeutic prospects.Frontiers in medicine · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Sepsis-associated endothelial injury drives thrombomodulin (TM) shedding and severe coagulopathy. We hypothesized that plasma TM levels predict sepsis severity and prognosis. This study investigated the prognostic association of plasma TM as a sepsis biomarker and validated it in a murine model. Patients and Methods: In a prospective cohort (Gongli Hospital, Shanghai; July 2024-January 2025), 68 sepsis patients (45 survivors, 23 nonsurvivors) and 50 controls underwent plasma TM, CD64 index, procalcitonin (PCT), C-reactive protein (CRP), Sequential Organ Failure Assessment (SOFA) score, and Acute Physiology and Chronic Health Evaluation II (APACHE II) score assessments. Survival analysis, multivariable regression, and receiver operating characteristic (ROC) curve modeling were performed. Mechanistic validation utilized Cecal Ligation and Puncture (CLP) mice with plasma/aortic TM quantification. Results: Elevated plasma TM and CD64 index correlated with poor prognosis ( Conclusion: This study demonstrates that the combined plasma TM and CD64 index assessment enhances early prediction of adverse sepsis outcomes, with strong correlations to clinical severity scores. The paradoxical TM dynamics (plasma elevation vs endothelial depletion) suggest endothelial injury as a key mechanism. Future research should focus on multicenter validation, and mechanistic studies are warranted to optimize clinical translation.
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Registered trials
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