Abstract
Background: Neutrophil extracellular traps (NETs) are granule- and nucleus-derived structures that support innate immunity. While the contribution of NETs to adult infections and autoimmune diseases is well studied, evidence in children is still inconsistent. This review aimed to summarize current findings on NETs in pediatric infections. Methods: This study followed the Cochrane Handbook for Systematic Reviews of Interventions and adhered to the PRISMA guidelines. A search was conducted in major databases (MEDLINE/PubMed and Scopus) from inception until 5 September 2025. The study quality was evaluated using the modified Newcastle–Ottawa Scale. Results: Eleven studies were included in the systematic review. In respiratory disease, the role of NETs was well described and their formation correlated with severity. Patients with febrile urinary tract infections showed elevated urinary NET-associated markers. In COVID-19 infection, NET levels were unchanged in uncomplicated cases but elevated in multisystem inflammatory syndrome in children. Findings in sepsis were inconsistent, Conclusions: This systematic review presents the published evidence on NET formation in the pediatric population, assessing the current knowledge and identifying the gaps to guide research. Future studies should aim to standardize NET detection methods, evaluate their prognostic value in large prospective cohorts, and explore the various NET-associated mechanisms in children.
1. Introduction
Neutrophil extracellular traps (NETs) are granule and nuclear structures that have a crucial role in the process of bacterial extracellular death, functioning as an innate immune defense mechanism [,,,]. However, excessive or dysregulated NET formation has been shown to contribute to tissue inflammation and injury, as well as autoimmunity [,,]. Neutrophil extracellular traps (NET) formation is facilitated by peptidylarginine deiminase 4 (PAD4), a critical enzyme which catalyzes histone citrullination, promotes chromatin decompensation and enables their release []. Other pathways contributing to NET formation include reactive oxygen species generation, neutrophil elastase and myeloperoxidase activity, underscoring the complex regulation of their release [].
The role of NETs in infections and autoimmune conditions in adults has been extensively studied [,]. In contrast, evidence in pediatric populations remains limited and heterogeneous. Neonates and children exhibit distinct neutrophil phenotypes compared to adults, including reduced phagocytic capacity and impaired NET formation [,]. These differences may impact NET function and lead to different responses to infections, potentially leading to age-specific patterns of host defense, disease susceptibility, and outcomes following infection [].
The involvement of NETs in pediatric infections has previously been investigated. They have been described in respiratory tract infections and diseases, such as recurrent otitis media and cystic fibrosis and in systemic infections, including neonatal and pediatric sepsis [,,]. While in some settings, NETs appear to have a protective role by limiting microbial growth, in others, they contribute to persistent inflammation and tissue damage, highlighting their dual role in pediatric host defense and disease.
As a result, pediatric NET research is limited by inconsistent reporting of clinical outcomes. In addition, the clinical relevance of NETs in children in not clearly understood, as the correlation between NET formation and disease severity, prognosis, or therapeutic interventions has not been sufficiently investigated. To address this critical gap, the present study aims to provide the first systematic review of pediatric NET studies, to synthesize the reported associations with clinical outcomes, identify knowledge gaps, and help guide the development of age-appropriate interventions targeting NET-mediated inflammation.
2. Materials and Methods
2.1. Study Registration and Search Strategy
This systematic review followed the Cochrane Handbook for Systematic Reviews of Interventions and adhered to PRISMA guidelines []. The protocol was registered in OSF (https://osf.io/c3reb/overview, accessed on 24 November 2025). We searched MEDLINE/PubMed and Scopus databases from their inception until 5 September 2025. A basic search strategy was developed for MEDLINE/PubMed, including all fields of published studies without exception, and modified accordingly for other research engines using the terms: “neutrophil extracellular traps” OR “NETs” AND “child*” OR “adolescent*” OR “infant” OR “neonate” AND “infection” OR “infectious disease”. Reference lists of detected studies were also screened for further eligible studies. PROSPERO and OSF databases were also screened to avoid duplicate reviews. Only English studies were included, with no year restrictions.
2.2. Eligibility Criteria
All case–control and/or observational studies examining the presence, role, or effects of NETs in pediatric patients with infectious diseases that met the eligibility criteria described in the predetermined protocol were included in the study. For studies that included mixed adult and pediatric populations, only pediatric data were extracted and included in the analyses. Studies reporting in vitro findings were excluded.
2.3. Collection and Extraction of Data
Two independent reviewers (A.S. and N.G.) conducted the literature search and data extraction. Records from databases were imported into a reference management tool (rayyan.qcri.org), with duplicates removed []. Titles and abstracts were initially screened, followed by full-text assessment of the remaining articles based on eligibility criteria. Any discrepancies were resolved through discussion with a third author (V.K.) until consensus was reached. Reference lists of included studies were manually reviewed for additional studies. ClinicalTrials.gov, PROSPERO, OSF, and “grey literature” were also searched to identify ongoing studies. Two authors (V.K. and A.S.) independently extracted the baseline characteristics of the included studies using a pre-specified form. Missing data were obtained by contacting the corresponding authors.
2.4. Quality Assessment of the Included Studies
Two independent reviewers (A.S. and Ν.C.) assessed the quality of included observational studies, resolving disagreements through consensus, using the modified Newcastle–Ottawa Scale (NOS) []. Studies were classified as low (0–3 points), medium (4–6 points), or high quality (7–9 points). For cross-sectional studies, we applied an adapted version of the NOS [,,,], which modifies selection, comparability, and outcome criteria to suit cross-sectional design characteristics. This tool evaluates three key domains for a total possible score of 10 stars, and the included cross-sectional studies were classified as high quality (7–10 stars), moderate quality (5–6 stars), and low quality (≤4 stars), consistent with thresholds applied in previous systematic reviews [,].
2.5. Outcome Measurements
According to the pre-specified protocol, the main outcomes included assessment of NETs in pediatric infections through laboratory or clinical measures, and the association between NETs and infection severity, complications, and treatment response.
3. Results
3.1. Search Strategy Results and Study Characteristics
In total, 4418 records were identified in the initial search. After duplicate removal and title and abstract screening, 27 studies remained for full-text assessment, with 11 studies being eligible for our systematic review (Figure 1, Table A1 and Table A2) [,,,,,,,,,,]. The baseline characteristics of the included studies are presented in Table 1.
Figure 1.
The PRISMA 2020 flow chart.
Table 1.
Baseline characteristics of included studies.
3.2. Quality Assessment of the Included Studies
Six out of 11 studies included in our systematic review were evaluated as “high quality” [,,,,,], while the other five as “medium quality” [,,,,]. A summary of the quality assessment is presented in Table 2.
Table 2.
Quality assessment of included studies with the Newcastle–Ottawa Scale.
3.3. Outcomes
3.3.1. Respiratory Infections
Respiratory infections such as otitis media and chronic airway inflammation were found to be associated with solid evidence for NET involvement. Thornton et al. [] demonstrated that NETs were present in middle ear effusions in children with recurrent acute otitis media. This finding suggests that NETs may promote the persistence of infection by stabilizing biofilm structures. In a study of cystic fibrosis (CF) patients, King et al. [] found robust formation of both neutrophil and macrophage extracellular traps in bronchoalveolar lavage (BAL) fluid, with NET expression strongly associated with neutrophil elastase activity. Similarly, Martínez-Alemán et al. [] reported that Pseudomonas aeruginosa isolates from children with cystic fibrosis induced distinct NET morphologies in vitro. The activation of NETosis in the airway tracts of individuals with CF has been attributed to the worsening lung conditions []. In children undergoing bronchoscopy, the presence of NETs was strongly associated with neutrophil elastase activity []. Pathogens isolated from children with more severe disease were more likely to promote the development of spread NETs, indicating that modulation of NET architecture by the pathogen may play a role in disease severity.
During the COVID-19 pandemic, NETs were studied in relation to SARS-CoV-2 infection in children. Seery et al. [] analyzed blood samples from 174 children with COVID-19, 21 with MIS-C, and 40 healthy controls. They found no significant elevation of cfDNA or citrullinated histones compared with controls, although neutrophils displayed altered activation and inhibitory receptor expression. In contrast, Carmona-Rivera et al. [] showed that NET remnants were markedly elevated in children with MIS-C, while histological examination revealed NET deposition in skin biopsies. These findings suggest that while uncomplicated pediatric COVID-19 is not characterized by NETosis, dysregulated NET responses may contribute to the immunopathology of MIS-C and related syndromes.
3.3.2. Urinary Tract Infections
The role of NETs in pediatric urinary tract infections was addressed in only one study. Krivošíková et al. [] demonstrated significantly higher urinary levels of extracellular DNA, myeloperoxidase (MPO), and cathelicidin in children with febrile urinary tract infections (UTIs) compared with healthy controls. In their analysis, the authors also reported that elevated extracellular DNA levels positively correlated with fever duration and inflammatory markers, indicating that NET formation may reflect the severity of the infectious process.
3.3.3. Central Nervous System Infections
The effect of NETs has also been investigated in pediatric central nervous system (CNS) infections in one study. Appelgren et al. [] examined cerebrospinal fluid samples from children and adults with Lyme neuroborreliosis and other CNS infections. The researchers revealed that NETs were more frequently detected in pediatric samples than in adults, and their presence correlated with elevated levels of chemokines and cytokines. Neutrophil extracellular traps detection was also shown to be associated with clinical features such as fever and laboratory findings like pleocytosis, supporting their role in the inflammatory response of CNS.
3.3.4. Sepsis
The involvement of NETosis in sepsis is less consistent. In a cohort of children admitted with meningococcal sepsis, Hoppenbrouwers et al. [] observed markedly elevated serum MPO-DNA complexes at admission and after 24 h, although these did not correlate with disease severity or outcome. Conversely, two neonatal studies questioned the predictive utility of NET markers. Stiel et al. [] reported that cord blood levels of cfDNA, neutrophil elastase, and MPO did not differ between neonates who developed early-onset sepsis and matched controls, suggesting limited NET forming capacity at birth. In contrast, Lenz et al. [] measured plasma markers in preterm infants with suspected sepsis and found that cfDNA and DNase I were significantly elevated in both early- and late-onset sepsis, whereas citrullinated histone H3 and elastase showed no differences between the sepsis group and the control group.
4. Discussion
This systematic review demonstrates that NETs have a key role in a wide range of pediatric infections. In pediatric UTIs, elevated urinary levels of extracellular DNA, myeloperoxidase, and cathelicidin have been documented []. The absence of key NETosis mediators such as PAD4 or Tamm-Horsfall protein resulted in higher bacterial loads and worse infection outcomes in UTIs []. Moreover, NETs may also contribute to chronic inflammation. Findings in CF suggest that while NETs can limit microbial growth, their persistence in tissues may sustain inflammation and damage []. The COVID-19 pandemic provided further information regarding NET biology in children. In uncomplicated pediatric COVID-19, no elevation in plasma NET markers was observed []. By contrast, in children with MIS-C, NET remnants were markedly elevated, with histological evidence of NET deposition and impaired degradation []. These findings suggest that dysregulated NET clearance, rather than overproduction alone, may drive immunopathology in post-infectious inflammatory syndromes, i.e., Kawasaki disease, opening new areas of potential research.
In neonatal fungal infection models, NET formation may provide a crucial line of defense for neonates and young children against specific pathogens []. Although the contribution of NETs to severe infections and sepsis remains uncertain, Zhang et al. [] applied machine learning to pediatric datasets and identified a five-gene NET-related signature that discriminated septic children from controls with high accuracy, while validation in clinical samples confirmed this diagnostic potential.
Compared with adults, where large cohort studies in sepsis and COVID-19 infection have consistently demonstrated marked systemic NET elevations associated with disease severity [,], findings in pediatric patients are more heterogeneous. In neonates, cord blood analyses revealed no increase in NET markers, and similarly, children with acute COVID-19 showed absent or minimal systemic NET release [,]. In respiratory infections, adults typically display harmful NET-driven lung injury [,], and similarly in children, NETs may exacerbate chronic inflammation, particularly in patients with CF. Taken together, these observations suggest that children exhibit a generally inert baseline systemic NET activity compared with adults, but once induced, NETs can mediate both beneficial antimicrobial effects and potent inflammatory effects and complications.
These insights carry important clinical implications. NET-associated markers and NET-related gene signatures may complement existing biomarkers in the diagnosis of pediatric sepsis, or other infections, though they require validation with studies performed in larger multicenter cohorts. Assessing NETs includes techniques that aim to provide both qualitative visualization and quantitative assessment of NET formation [,]. Interpretation of NET-related results is complicated by substantial methodological variability across studies. NETs can be quantified via ELISA detection of MPO–DNA or NE–DNA complexes, immunofluorescence microscopy of NET structures, flow cytometry detection of citrullinated histones and measurement of circulating cell-free DNA []. Each approach has different sensitivities, specificity profiles and is susceptible to technical artifacts [,]. To improve cross-study comparability, it is essential to standardize assay selection, reporting parameters and analytical criteria; importantly, normalization of NET-associated markers to neutrophil counts or activation status would provide a more meaningful representation of NET production rather than absolute values alone [,].
Therapeutic modulation of NETs, such as DNase therapy or targeting degradation pathways [,,,], has been previously proposed, but pediatric evidence remains preliminary. An important consideration in pediatric infections is that strategies targeting NETs may weaken early antiviral defenses and interfere with the development of adaptive immunity. NETs have been shown to trap and neutralize viral particles in vitro, and inhibition of NETosis in murine models of COVID-19 infection has been associated with higher viral loads. Additionally, a recent study of Bonilha et al. [] indicates that pharmacological modulation of NETs can affect T-cell activation, antigen presentation, and proliferation. Given that children’s immune systems are still developing, these dual risks must be carefully considered when evaluating NET-targeted therapies in pediatric populations. These findings indicate that while NET markers may be promising diagnostic biomarkers, data are inconsistent. The variability observed across studies also underscores the urgent need for standardization of NET measurement using the proposed techniques [].
This review has some limitations, due to the small sample size of most included studies, the predominance of cross-sectional design, the heterogeneity of infections and NET detection methods. Longitudinal data on outcomes were sparse, and therefore a meta-analysis was not feasible. Moreover, several mechanistic insights are derived from in vitro models rather than clinical studies.
5. Conclusions
This extensive literature review offers evidence that highlights the relevance of NETs in pediatric infections and identifies the gaps for future research. Most included studies had small sample sizes and a predominance of cross-sectional designs, with considerable heterogeneity in NET detection methods. Evidence from longitudinal studies on clinical outcomes was limited and a meta-analysis was infeasible. Despite these challenges, the findings underscore important gaps for future studies, which should aim to standardize NET detection, evaluate their prognostic value in large prospective cohorts, and explore how fundamental differences in adults shape NET responses in children. Interventional trials assessing the safety and efficacy of NET-modulating therapies will be crucial to determine whether manipulating NET biology can improve outcomes in pediatric infections.
Author Contributions
Conceptualization, A.S., D.T. and P.P.; methodology, A.S., N.C. and N.G.; formal analysis, A.S. and N.C.; investigation, A.S. and V.K.; data curation, A.S. and V.K.; writing—original draft preparation, A.S. and N.G.; writing—review and editing, K.M., D.T. and P.P.; visualization, A.S.; supervision, D.T. and P.P. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors on request.
Acknowledgments
None to be declared.
Conflicts of Interest
Author N.C. was employed by the company Saint Luke’s Private Clinic, Thessaloniki, Greece. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| BAL | Bronchoalveolar Lavage Fluid |
| CF | Cystic Fibrosis |
| COVID-19 | Coronavirus Disease 2019 |
| CNS | Central Nervous System |
| CSF | Cerebrospinal Fluid |
| ecDNA | Extracellular DNA |
| ELISA | Enzyme-Linked Immunosorbent Assay |
| EONS | Early Onset Neonatal Sepsis |
| GA | Gestational Age |
| IF | Immunofluorescence |
| MIS-C | Multisystem Inflammatory Syndrome in Children |
| MPO | Myeloperoxidase |
| mtDNA | Mitochondrial DNA |
| ncDNA | Nuclear DNA |
| NET | Neutrophil Extracellular Traps |
| NOS | Newcastle–Ottawa Scale |
| NR | Not Reported |
| OSF | Open Science Framework |
| PICU | Pediatric Intensive Care Unit |
| PMN | Polymorphonuclear |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| rAOM | Recurrent Acute Otitis Media |
| ROS | Reactive Oxygen Species |
| SEM | Scanning Electron Microscopy |
| UTI | Urinary Tract Infection |
Appendix A
Table A1.
The initial search in MEDLINE/Pubmed and Scopus.
Table A1.
The initial search in MEDLINE/Pubmed and Scopus.
| Database | Search Strategy |
|---|---|
| Pubmed/MEDLINE | (“extracellular traps”[MeSH Terms] OR (“extracellular”[All Fields] AND “traps”[All Fields]) OR “extracellular traps”[All Fields] OR (“neutrophil”[All Fields] AND “extracellular”[All Fields] AND “traps”[All Fields]) OR “neutrophil extracellular traps”[All Fields] OR (“netw spat econ”[Journal] OR “nets”[All Fields])) AND (“child*”[All Fields] OR (“adolescences”[All Fields] OR “adolescency”[All Fields] OR “adolescent”[MeSH Terms] OR “adolescent”[All Fields] OR “adolescence”[All Fields] OR “adolescents”[All Fields] OR “adolescent s”[All Fields]) OR (“infant”[MeSH Terms] OR “infant”[All Fields] OR “infants”[All Fields] OR “infant s”[All Fields]) OR (“infant, newborn”[MeSH Terms] OR (“infant”[All Fields] AND “newborn”[All Fields]) OR “newborn infant”[All Fields] OR “neonatal”[All Fields] OR “neonate”[All Fields] OR “neonates”[All Fields] OR “neonatality”[All Fields] OR “neonatals”[All Fields] OR “neonate s”[All Fields])) AND (“infect”[All Fields] OR “infectability”[All Fields] OR “infectable”[All Fields] OR “infectant”[All Fields] OR “infectants”[All Fields] OR “infected”[All Fields] OR “infecteds”[All Fields] OR “infectibility”[All Fields] OR “infectible”[All Fields] OR “infecting”[All Fields] OR “infection s”[All Fields] OR “infections”[MeSH Terms] OR “infections”[All Fields] OR “infection”[All Fields] OR “infective”[All Fields] OR “infectiveness”[All Fields] OR “infectives”[All Fields] OR “infectivities”[All Fields] OR “infects”[All Fields] OR “pathogenicity”[MeSH Subheading] OR “pathogenicity”[All Fields] OR “infectivity”[All Fields] OR (“communicable diseases”[MeSH Terms] OR (“communicable”[All Fields] AND “diseases”[All Fields]) OR “communicable diseases”[All Fields] OR (“infectious”[All Fields] AND “disease”[All Fields]) OR “infectious disease”[All Fields])) |
| Scopus | TITLE-ABS-KEY (“neutrophil extracellular traps” OR “NETs” AND “child*” OR “adolescent*” OR “infant” OR “neonate” AND “infection” OR “infectious disease”) |
| Truncation (*) was applied to key terms to retrieve all lexical variants and ensure comprehensive search coverage. | |
Table A2.
Excluded studies that have not met the inclusion criteria.
Table A2.
Excluded studies that have not met the inclusion criteria.
| Study | Title | Reasons for Exclusion |
|---|---|---|
| Feys 2024 | Lower respiratory tract single-cell RNA sequencing and neutrophil extracellular trap profiling of COVID-19-associatedpulmonary aspergillosis: a single centre, retrospective, observational study | Adult population |
| Zhang 2025 | Screening and Identification of Neutrophil Extracellular Trap-related Diagnostic Biomarkers for Pediatric Sepsis by Machine Learning | In vitro study |
| Byrd 2015 | NETosis in neonates: evidence of a ROS-independent pathway in response to fungal challenge | In vitro study |
| Khaertynov 2020 | The severity of netosis inpatients with neonatal sepsis | Foreign language |
| Dan 2019 | Significance of neutrophil extracellular trap and its markers in the early diagnosis of community-acquired pneumonia in children | Foreign language |
| Cortjens 2016 | Neutrophil extracellular traps cause airway obstruction during respiratory syncytial virus disease | In vitro study |
| Mercado-Evans 2025 | Tamm-Horsfall protein augments neutrophil NETosis during urinary tract infection | In vitro study |
| Grudzinska 2019 | Neutrophils in community-acquired pneumonia: parallels in dysfunction at the extremes of age | No relevant biomarker measured |
| Khan 2019 | Progression of Cystic Fibrosis Lung Disease from Childhood to Adulthood: Neutrophils, Neutrophil Extracellular Trap (NET) Formation, and NET Degradation | Non original data- Review |
| Muraro 2018 | Respiratory Syncytial Virus induces the classical ROS-dependent NETosis through PAD-4 and necroptosis pathways activation | No relevant biomarker measured |
| Yoo D 2014 | NET formation induced by Pseudomonas aeruginosa cystic fibrosis isolates measured as release of myeloperoxidase-DNA and neutrophil elastase-DNA complexes | Adult population |
| Wang 2020 | Excessive Neutrophils and Neutrophil Extracellular Traps in COVID-19 | No relevant biomarker measured |
| Chen 2018 | Neutrophil extracellular traps promote macrophage pyroptosis in sepsis | In vitro study |
| Arruda 2024 | Kinetics of neutrophil extracellular traps and cytokines in oral mucositis and Candida infection | Adult population |
| Krinsky 2023 | NETosis induction reflects COVID-19 severity and long COVID: insights from a 2-center patient cohort study in Israel | Adult population |
| Funchal 2015 | Respiratory syncytial virus fusion protein promotes TLR-4-dependent neutrophil extracellular trap formation by human neutrophils | Adult population |
References
- Brinkmann, V.; Reichard, U.; Goosmann, C.; Fauler, B.; Uhlemann, Y.; Weiss, D.S.; Weinrauch, Y.; Zychlinsky, A. Neutrophil Extracellular Traps Kill Bacteria. Science 2004, 303, 1532–1535. [Google Scholar] [CrossRef]
- Chen, Z.; Gao, F. The Dual Role of Macrophage Extracellular Traps in Host Defense and Disease: Mechanisms and Therapeutic Implications. Biomolecules 2025, 15, 1220. [Google Scholar] [CrossRef]
- Wang, H.; Kim, S.J.; Lei, Y.; Wang, S.; Wang, H.; Huang, H.; Zhang, H.; Tsung, A. Neutrophil extracellular traps in homeostasis and disease. Signal Transduct. Target. Ther. 2024, 9, 235. [Google Scholar] [CrossRef]
- Jorch, S.K.; Kubes, P. An emerging role for neutrophil extracellular traps in noninfectious disease. Nat. Med. 2017, 23, 279–287. [Google Scholar] [CrossRef] [PubMed]
- Papayannopoulos, V. Neutrophil extracellular traps in immunity and disease. Nat. Rev. Immunol. 2018, 18, 134–147. [Google Scholar] [CrossRef] [PubMed]
- Lee, K.H.; Kronbichler, A.; Park, D.D.Y.; Park, Y.M.; Moon, H.; Kim, H.; Choi, J.H.; Choi, Y.; Shim, S.; Lyu, I.S.; et al. Neutrophil extracellular traps (NETs) in autoimmune diseases: A comprehensive review. Autoimmun. Rev. 2017, 16, 1160–1173. [Google Scholar] [CrossRef]
- Wang, W.; Su, J.; Yan, M.; Pan, J.; Zhang, X. Neutrophil extracellular traps in autoimmune diseases: Analysis of the knowledge map. Front. Immunol. 2023, 14, 1095421. [Google Scholar]
- Li, P.; Li, M.; Lindberg, M.R.; Kennett, M.J.; Xiong, N.; Wang, Y. PAD4 is essential for antibacterial innate immunity mediated by neutrophil extracellular traps. J. Exp. Med. 2010, 207, 1853–1862. [Google Scholar] [CrossRef]
- Czaikoski, P.G.; Mota, J.M.S.C.; Nascimento, D.C.; Sônego, F.; Castanheira, F.V.E.S.; Melo, P.H.; Scortegagna, G.T.; Silva, R.L.; Barroso-Sousa, R.; Souto, F.O.; et al. Neutrophil extracellular traps induce organ damage during experimental and clinical sepsis. PLoS ONE 2016, 11, e0148142. [Google Scholar] [CrossRef] [PubMed]
- Middleton, E.A.; He, X.Y.; Denorme, F.; Campbell, R.A.; Ng, D.; Salvatore, S.P.; Mostyka, M.; Baxter-Stoltzfus, A.; Borczuk, A.C.; Loda, M.; et al. Neutrophil Extracellular Traps Contribute to Immunothrombosis in COVID-19 Acute Respiratory Distress Syndrome. Blood 2020, 136, 1169–1179. [Google Scholar] [CrossRef]
- Yost, C.C.; Cody, M.J.; Harris, E.S.; Thornton, N.L.; McInturff, A.M.; Martinez, M.L.; Chandler, N.B.; Rodesch, C.K.; Albertine, K.H.; Petti, C.A.; et al. Impaired neutrophil extracellular trap (NET) formation: A novel innate immune deficiency of human neonates. Blood 2009, 113, 6419–6427. [Google Scholar] [CrossRef] [PubMed]
- Lawrence, S.M.; Corriden, R.; Nizet, V. The Ontogeny of a Neutrophil: Mechanisms of Granulopoiesis and Homeostasis. Microbiol. Mol. Biol. Rev. 2018, 82, e00057-17. [Google Scholar] [CrossRef]
- Lawrence, S.M.; Corriden, R.; Nizet, V. Age-appropriate functions and dysfunctions of the neonatal neutrophil. Front. Pediatr. 2017, 5, 23. [Google Scholar] [CrossRef] [PubMed]
- Stiel, C.U.; Ebenebe, C.U.; Trochimiuk, M.; Pagarols Raluy, L.; Vincent, D.; Singer, D.; Reinshagen, K.; Boettcher, M. Markers of NETosis Do Not Predict Neonatal Early Onset Sepsis: A Pilot Study. Front. Pediatr. 2020, 7, 555. [Google Scholar] [CrossRef]
- Hoppenbrouwers, T.; Boeddha, N.P.; Ekinci, E.; Emonts, M.; Hazelzet, J.A.; Driessen, G.J.; De Maat, M.P. Neutrophil Extracellular Traps in Children with Meningococcal Sepsis. Pediatr. Crit. Care Med. 2018, 19, e286–e291. [Google Scholar] [CrossRef]
- Lenz, M.; Maiberger, T.; Armbrust, L.; Kiwit, A.; Von der Wense, A.; Reinshagen, K.; Elrod, J.; Boettcher, M. CfDNA and DNases: New Biomarkers of Sepsis in Preterm Neonates—A Pilot Study. Cells 2022, 11, 192. [Google Scholar] [CrossRef]
- Page, M.J.; Mckenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews Systematic reviews and Meta-Analyses. BMJ 2021, 372, n71. [Google Scholar] [CrossRef]
- Ouzzani, M.; Hammady, H.; Fedorowicz, Z.; Elmagarmid, A. Rayyan-a web and mobile app for systematic reviews. Syst. Rev. 2016, 5, 210. [Google Scholar] [CrossRef]
- Wells, G.A.; Wells, G.; Shea, B.; Shea, B.; O’Connell, D.; Peterson, J.; Welch; Losos, M.; Tugwell, P.; Ga, S.W.; et al. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses. 2014. Available online: https://api.semanticscholar.org/CorpusID:79550924 (accessed on 5 September 2025).
- Modesti, P.A.; Reboldi, G.; Cappuccio, F.P.; Agyemang, C.; Remuzzi, G.; Rapi, S.; Perruolo, E.; Parati, G.; ESH Working Group on CV Risk in Low Resource Settings. Panethnic differences in blood pressure in Europe: A systematic review and meta-analysis. PLoS ONE 2016, 11, e0147601. [Google Scholar] [CrossRef]
- Herzog, R.; Álvarez-Pasquin, M.J.; Díaz, C.; Del Barrio, J.L.; Estrada, J.M.; Gil, Á. Are healthcare workers intentions to vaccinate related to their knowledge, beliefs and attitudes? A systematic review. BMC Public Health 2013, 13, 154. [Google Scholar] [CrossRef] [PubMed]
- Luchini, C.; Stubbs, B.; Solmi, M.; Veronese, N. Assessing the quality of studies in meta-analyses: Advantages and limitations of the Newcastle Ottawa Scale. World J. Meta-Anal. 2017, 5, 80–84. [Google Scholar] [CrossRef]
- Blanchard, L.; Ray, S.; Law, C.; Vega-Salas, M.J.; Bidonde, J.; Bridge, G.; Egan, M.; Petticrew, M.; Rutter, H.; Knai, C. The effectiveness, cost-effectiveness and policy processes of regulatory, voluntary and partnership policies to improve food environments: An evidence synthesis. Public Health Res. 2024, 12, 1–173. [Google Scholar] [CrossRef]
- Appelgren, D.; Enocsson, H.; Skogman, B.H.; Nordberg, M.; Perander, L.; Nyman, D.; Nyberg, C.; Knopf, J.; Muñoz, L.E.; Sjöwall, C.; et al. Neutrophil extracellular traps (NETs) in the cerebrospinal fluid samples from children and adults with central nervous system infections. Cells 2020, 9, 43. [Google Scholar] [CrossRef]
- Fitzpatrick, A.M.; Mohammad, A.F.; Huang, M.; Stephenson, S.T.; Patrignani, J.; Kamaleswaran, R.; Grunwell, J.R. Functional immunophenotyping of blood neutrophils identifies novel endotypes of viral response in preschool children with recurrent wheezing. J. Allergy Clin. Immunol. 2023, 152, 1433–1443. [Google Scholar] [CrossRef]
- Seery, V.; Raiden, S.C.; Algieri, S.C.; Grisolía, N.A.; Filippo, D.; De Carli, N.; Di Lallaf, S.; Cairolib, H.; Chiolog, M.J.; Meregalli, C.N.; et al. Blood neutrophils from children with COVID-19 exhibit both inflammatory and anti-inflammatory markers. EBioMedicine 2021, 67, 103357. [Google Scholar] [CrossRef] [PubMed]
- Thornton, R.B.; Wiertsema, S.P.; Kirkham, L.A.S.; Rigby, P.J.; Vijayasekaran, S.; Coates, H.L.; Richmond, P.C. Neutrophil Extracellular Traps and Bacterial Biofilms in Middle Ear Effusion of Children with Recurrent Acute Otitis Media—A Potential Treatment Target. PLoS ONE 2013, 8, e53837. [Google Scholar] [CrossRef] [PubMed]
- King, P.T.; Dousha, L.; Clarke, N.; Schaefer, J.; Carzino, R.; Sharma, R.; Wan, K.L.; Anantharajah, A.; O’Sullivan, K.; Lu, Z.X.; et al. Phagocyte extracellular traps in children with neutrophilic airway inflammation. ERJ Open Res. 2021, 7, 1–10. [Google Scholar] [CrossRef]
- Carmona-Rivera, C.; Zhang, Y.; Dobbs, K.; Markowitz, T.E.; Dalgard, C.L.; Oler, A.J.; Claybaugh, D.R.; Draper, D.; Truong, M.; Delmonte, O.M.; et al. Multicenter analysis of neutrophil extracellular trap dysregulation in adult and pediatric COVID-19. JCI Insight. 2022, 7, e160332. [Google Scholar] [CrossRef]
- Martínez-Alemán, S.; Bustamante, A.E.; Jimenez-Valdes, R.J.; González, G.M.; Sánchez-González, A. Pseudomonas aeruginosa isolates from cystic fibrosis patients induce neutrophil extracellular traps with different morphologies that could correlate with their disease severity. Int. J. Med. Microbiol. 2020, 310, 151451. [Google Scholar] [CrossRef]
- Krivošíková, K.; Šupčíková, N.; Gaál Kovalčíková, A.; Janko, J.; Pastorek, M.; Celec, P.; Podracká, Ľ.; Tóthová, Ľ. Neutrophil extracellular traps in urinary tract infection. Front. Pediatr. 2023, 11, 1154139. [Google Scholar] [CrossRef]
- Khan, M.A.; Ali, Z.S.; Sweezey, N.; Grasemann, H.; Palaniyar, N. Progression of cystic fibrosis lung disease from childhood to adulthood: Neutrophils, neutrophil extracellular trap (NET) formation, and NET degradation. Genes 2019, 10, 183. [Google Scholar] [CrossRef]
- Mercado-Evans, V.; Branthoover, H.; Chew, C.; Serchejian, C.; Saltzman, A.B.; Mejia, M.E.; Zulk, J.J.; Cornax, I.; Nizet, V.; Patras, K.A. Tamm-Horsfall protein augments neutrophil NETosis during urinary tract infection. JCI Insight 2025, 10, e180024. [Google Scholar] [CrossRef]
- Byrd, A.S.; O’brien, X.M.; Laforce-Nesbitt, S.S.; Parisi, V.; Hirakawa, M.P.; Bliss, J.M.; Reichner, J.S. NETosis in neonates: Evidence of a ROS-independent pathway in response to fungal challenge. J. Infect. Dis. Adv. Access 2015, 4, 634–639. [Google Scholar]
- Zhang, G.; Zhang, K. Screening and Identification of Neutrophil Extracellular Trap-related Diagnostic Biomarkers for Pediatric Sepsis by Machine Learning. Inflammation 2025, 48, 212–222. [Google Scholar] [CrossRef] [PubMed]
- Mikacenic, C.; Moore, R.; Dmyterko, V.; West, T.E.; Altemeier, W.A.; Liles, W.C.; Lood, C. Neutrophil extracellular traps (NETs) are increased in the alveolar spaces of patients with ventilator-associated pneumonia. Crit. Care 2018, 22, 358. [Google Scholar] [CrossRef]
- Stoimenou, M.; Tzoros, G.; Skendros, P.; Chrysanthopoulou, A. Methods for the Assessment of NET Formation: From Neutrophil Biology to Translational Research. Int. J. Mol. Sci. 2022, 23, 15823. [Google Scholar] [CrossRef] [PubMed]
- Lee, K.H.; Cavanaugh, L.; Leung, H.; Yan, F.; Ahmadi, Z.; Chong, B.H.; Passam, F. Quantification of NETs-associated markers by flow cytometry and serum assays in patients with thrombosis and sepsis. Int. J. Lab. Hematol. 2018, 40, 392–399. [Google Scholar] [CrossRef]
- Henneck, T.; Krüger, C.; Nerlich, A.; Langer, M.; Fingerhut, L.; Bonilla, M.C.; Meurer, M.; von den Berg, S.; de Buhr, N.; Branitzki-Heinemann, K.; et al. Comparison of NET quantification methods based on immunofluorescence microscopy: Hand-counting, semi-automated and automated evaluations. Heliyon 2023, 9, e16982. [Google Scholar] [CrossRef]
- Retter, A.; Singer, M.; Annane, D. “The NET effect”: Neutrophil extracellular traps—A potential key component of the dysregulated host immune response in sepsis. Crit. Care 2025, 29, 59. [Google Scholar] [CrossRef]
- Espiritu, A.; O’Sullivan, K.M. A Web of Challenges: The Therapeutic Struggle to Target NETs in Disease. Int. J. Mol. Sci. 2025, 26, 4773. [Google Scholar] [CrossRef]
- Tonello, S.; Vercellino, N.; D’Onghia, D.; Fracchia, A.; Caria, G.; Sola, D.; Tillio, P.A.; Sainaghi, P.P.; Colangelo, D. Extracellular Traps in Inflammation: Pathways and Therapeutic Targets. Life 2025, 15, 627. [Google Scholar] [CrossRef] [PubMed]
- Mutua, V.; Gershwin, L.J. A Review of Neutrophil Extracellular Traps (NETs) in Disease: Potential Anti-NETs Therapeutics. Clin. Rev. Allergy Immunol. 2021, 61, 194–211. [Google Scholar] [CrossRef] [PubMed]
- Bonilha, C.S.; Veras, F.P.; dos Santos Ramos, A.; Gomes, G.F.; Rodrigues Lemes, R.M.; Arruda, E.; Alves-Filho, J.C.; Cunha, T.M.; Cunha, F.Q. PAD4 inhibition impacts immune responses in SARS-CoV-2 infection. Mucosal Immunol. 2025, 18, 861–873. [Google Scholar] [CrossRef] [PubMed]
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