ArticlemBio2021
The Balance of Neutrophil Extracellular Trap Formation and Nuclease Degradation: an Unknown Role of Bacterial Coinfections in COVID-19 Patients?
Article in mBio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 18 citations in OpenAlex.
- TLR9-engineered photoresponsive biomimetic nanodecoys for targeted NETs clearance to mitigate periodontitis-associated bone resorption.International journal of oral science · 2026Article
- Exploring the role of neutrophil extracellular traps in colorectal cancer: Insights from single-cell sequencing.World journal of gastrointestinal oncology · 2025Review
- Multitasking functions of bacterial extracellular DNA in biofilms.Journal of bacteriology · 2024Review
- Molecular Mechanisms of Neutrophil Extracellular Trap (NETs) Degradation.International journal of molecular sciences · 2023Review
- Review
- Role of phagocyte extracellular traps duringFrontiers in microbiology · 2023Review
- Could a Lower Toll-like Receptor (TLR) and NF-κB Activation Due to a Changed Charge Distribution in the Spike Protein Be the Reason for the Lower Pathogenicity of Omicron?International journal of molecular sciences · 2022Review
- Pathogen-Derived Nucleases: An Effective Weapon for Escaping Extracellular Traps.Frontiers in immunology · 2022Review
- Upregulating Human Cathelicidin Antimicrobial Peptide LL-37 Expression May Prevent Severe COVID-19 Inflammatory Responses and Reduce Microthrombosis.Frontiers in immunology · 2022Review
- NETosis and Neutrophil Extracellular Traps in COVID-19: Immunothrombosis and Beyond.Frontiers in immunology · 2022Review
- Coagulopathies after Vaccination against SARS-CoV-2 May Be Derived from a Combined Effect of SARS-CoV-2 Spike Protein and Adenovirus Vector-Triggered Signaling Pathways.International journal of molecular sciences · 2021Review
- Article
- Review
- Neutrophil Extracellular Traps (NETs) in Severe SARS-CoV-2 Lung Disease.International journal of molecular sciences · 2021Review
- Pattern Recognition Proteins: First Line of Defense Against Coronaviruses.Frontiers in immunology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is leading to public health crises worldwide. An understanding of the pathogenesis and the development of treatment strategies is of high interest. Recently, neutrophil extracellular traps (NETs) have been identified as a potential driver of severe SARS-CoV-2 infections in humans. NETs are extracellular DNA fibers released by neutrophils after contact with various stimuli and accumulate antimicrobial substances or host defense peptides. When massively released, NETs are described to contribute to immunothrombosis in acute respiratory distress syndrome and in vascular occlusions. Based on the increasing evidence that NETs contribute to severe COVID-19 cases, DNase treatment of COVID-19 patients to degrade NETs is widely discussed as a potential therapeutic strategy. Here, we discuss potential detrimental effects of NETs and their nuclease degradation, since NET fragments can boost certain bacterial coinfections and thereby increase the severity of the disease.
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Registered trials
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.