Evidence map›Paper›PMID 40429915›Full record

ReviewInternational journal of molecular sciences2025

A Web of Challenges: The Therapeutic Struggle to Target NETs in Disease.

Andre Espiritu, Kim Maree O'Sullivan

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Neutrophil extracellular traps (NETosis) in gynecologic cancers: from pathogenesis to therapeutic opportunities: a narrative review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Training the Lung, Taming the NETs.Frontiers in cellular and infection microbiology · 2026
    Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. 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

2 authors.

Andre EspirituDepartment of Medicine, Centre for Inflammatory Diseases, Monash University, Clayton, VIC 3168, Australia.
Kim Maree O'SullivanDepartment of Medicine, Centre for Inflammatory Diseases, Monash University, Clayton, VIC 3168, Australia.ORCID 0000-0002-3098-7948

Funding

National Health and Medical Research Council 2001325National Health and Medical Research Council 2020579
6 · The paper itself

Abstract

Neutrophil extracellular traps (NETs) play a crucial role in the pathophysiology of many debilitating conditions, including autoimmune diseases, inflammatory diseases, and cancer. As a result, NET-targeted therapies have been investigated in search of effective treatment strategies. Despite promising preclinical findings, clinical translation of NET inhibitors has had limited success. These preclinical studies have faced limitations such as mouse models that inaccurately reflect human disease dynamics, as well as by the complexity of NETs-including their diverse morphology and convoluted pathways to formation relative to pathology. The NET inhibitors themselves have several limitations, including off-target effects and bioavailability issues. The challenges facing NET-targeted therapies reported here may explain what is required to go from bench to bedside successfully.

Indexed as

Autoimmune DiseasesExtracellular TrapsNeoplasmsAnimalsHumansInflammationNeutrophilsCIT-013DNase INET-targeted therapiesneutrophil extracellular trapsNinjurin-1

Identifiers

PMID40429915
PMCPMC12111817

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.