Evidence map›Paper›PMID 41079605›Full record

ArticleiScience2025

Nucleotide motif-guided selection of plasma microRNA biomarkers 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 read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

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.

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

Trauma remains a leading cause of morbidity and mortality in part due to complex pathophysiological responses. Yet our abilities to predict these changes are limited. Plasma miRNAs have been proposed as DAMPs that drive immune response and organ injury. Here, we test a panel of plasma miRNAs-selected based on next-generation sequencing and nucleotide motifs identified via a machine-learning algorithm-for their abilities to predict subclinical pathophysiological injuries. We find marked and severity-dependent increases in the miRNA biomarkers following trauma, which are closely associated with various injury markers. AUROC indicates that these biomarkers possess strong diagnostic and predictive abilities in overall trauma severity, organ injury, coagulation, endothelial activation, and inflammation. In a combined cohort of trauma and sepsis, miR-224-5p and miR-145-5p emerge as particularly effective in differentiating the two critical illnesses. These observations offer insights into potential values of the plasma miRNAs in the prediction of critical pathophysiological injury in trauma.

Indexed as

DiagnosticsHealth sciencesInternal medicineMedicineTraumatology

Identifiers

PMID41079605
PMCPMC12510045

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.