Evidence map›Paper›PMID 40093224›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Nucleotide motif-guided selection of plasma microRNA biomarkers for organ injury prediction in trauma.

Boyang Ren, Ruoxing Li, Chien-Yu Lin, Chanhee Park, Sheng Wang, Andrew O Suen, John Kessler, Shiming Yang, Rosemary Kozar, Lin Zou and 4 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Boyang RenCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Ruoxing LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center; Houston, TX, USA.
Chien-Yu LinCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Chanhee ParkCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Sheng WangCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Andrew O SuenCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
John KesslerCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Shiming YangCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Rosemary KozarCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Lin ZouCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Brittney WilliamsCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Ziyi LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center; Houston, TX, USA.
Peter HuCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.
Wei ChaoCenter for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine; Baltimore, MD, USA.ORCID 0000-0002-2505-1360

Funding

Function and mechanisms of extracellular microRNAs in sepsis-induced lung injuryR35GM124775 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI Lin Zou · 2017 to 2026
$3.2M
Extracellular miRNAs, innate immunity, and critical illnessR35GM140822 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI WEI CHAO · 2021 to 2026
$2.5M
NIGMS NIH HHS R35 GM124775NIGMS NIH HHS R35 GM140822
6 · The paper itself

Abstract

backgroundTrauma remains a leading cause of morbidity and mortality in part due to secondary organ injury and infection. Yet, our ability to predict the downstream pathophysiologic responses leading to organ injury and adverse outcomes is limited. Extracellular microRNAs (ex-miRNAs) as a DAMP can drive innate immune response and organ injury. Here, we tested plasma miRNAs as predictive biomarkers for organ injury in trauma.

methodsTwelve miRNAs were selected based on RNAseq and pro-inflammatory nucleotide motifs identified by machine learning. Digital PCR was employed to quantify plasma miRNAs and Luminex to measure trauma injury markers. Multivariate Random Forest models were built to assess the predictive performance of the miRNA biomarkers.

resultsWe identified a set of five nucleotide motifs that can predict the pro-inflammatory property of plasma miRNAs with a sensitivity of 84% and specificity of 69%. There was a marked and severity-dependent increase in the plasma miRNA biomarkers and numerous trauma injury markers at time of admission. The plasma concentrations of these miRNA biomarkers were highly correlated with the injury markers linked to various trauma endotypes. AUROC analyses indicated that the miRNA biomarkers possess strong diagnostic abilities and prediction in overall severity, organ injury, metabolic acidosis, coagulopathy, and innate inflammation in the trauma (n=48) but not sepsis (n=47) cohort. In a combined cohort, miR-224-5p and miR-145-5p exhibited a superior performance in differential diagnosis of trauma and sepsis with AUROC of 0.90 and 0.91, respectively.

conclusionThe panel of plasma miRNAs are specific biomarkers with strong diagnostic and prognostic performance in trauma-induced organ injury.

Indexed as

biomarkerscoagulopathyinflammationmachine learningmiRNAsnucleotide motiforgan injuryRNAseqTrauma

Identifiers

PMID40093224
PMCPMC11908285

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