Evidence map›Paper›PMID 41309368›Full record

ArticleJournal of microbiology and biotechnology2025

Circulating NET Biomarkers as Predictors of Inflammatory Storm Escalation and Critical Illness in COVID-19.

Wenjuan Liu, Xin Pan, Ruyue Fan, Ying Yang, Na Sun, Peibin Hou, Zuowang Cheng, Chuanjun Huang, Shuai Liu, Lili Su

Abstract read
In one paragraph

Article in Journal of microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Wenjuan LiuDepartment of Pulmonary and Critical Care Medicine, Yantaishan Hospital, Yantai, Shandong, P.R. China.
Xin PanDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Ruyue FanShandong Center for Disease Control and Prevention, Jinan, Shandong, P.R. China.
Ying YangShandong Center for Disease Control and Prevention, Jinan, Shandong, P.R. China.
Na SunShandong Center for Disease Control and Prevention, Jinan, Shandong, P.R. China.
Peibin HouShandong Center for Disease Control and Prevention, Jinan, Shandong, P.R. China.
Zuowang ChengDepartment of Clinical Laboratory, Zhangqiu District People's Hospital Affiliated to Jining Medical University, Jinan, Shandong, P.R. China.
Chuanjun HuangDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Shuai LiuDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Lili SuDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 demonstrates distinct clinical heterogeneity, ranging from mild symptoms to severe acute respiratory distress syndrome (ARDS). Neutrophil extracellular traps (NETs), which are web-like structures consisting of decondensed DNA adorned with cytotoxic proteins such as myeloperoxidase (MPO) and citrullinated histone H3 (CitH3), play a crucial role in pathogen containment. However, they may also promote immunothrombosis and tissue injury. This research aimed to explore the association between NET formation and the severity of COVID-19. Plasma samples were collected from 99 patients diagnosed between 2022 and 2023. NET remnants were quantified through cell-free DNA (cfDNA), MPO-DNA, neutrophil elastase (NE)-DNA complexes, histone-DNA complexes, and CitH3. The levels of all NET biomarkers were significantly increased in COVID-19 patients and were positively correlated with disease severity. Notably, patients who required mechanical ventilation or high-flow oxygen had significantly higher concentrations of cfDNA, histone-DNA, and CitH3, indicating a strong connection between NETs and respiratory deterioration. Specifically, the combined model incorporating three NETs-related biomarkers demonstrated superior performance in discriminating disease severity, as evidenced by receiver operating characteristic (ROC) analysis. These findings suggest that excessive NET formation contributes to the pathogenesis of COVID-19, potentially via pro-inflammatory and pro-thrombotic pathways. Consequently, the combined model (histone-DNA, MPO-DNA, and CitH3) is identified as a promising biomarker signature for reflecting neutrophil-mediated immunopathology.

Indexed as

COVID-19Extracellular TrapsAdultAgedBiomarkersCell-Free Nucleic AcidsCritical IllnessFemaleHistonesHumansInflammationLeukocyte ElastaseMaleMiddle AgedNeutrophilsPeroxidaseBiomarkersCell-Free Nucleic AcidsHistonesLeukocyte ElastasePeroxidasecfDNACitH3disease severityNETsprotein-DNA complexessuperior respiratory support

Identifiers

PMID41309368
PMCPMC12685590

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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.