Evidence map›Paper›PMID 38401035›Full record

ReviewMolecular and cellular biochemistry2024

Neutrophil extracellular traps: a catalyst for atherosclerosis.

Yinyu Wang, Cuiping Wang, Jiayan Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular and cellular biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  9. Review
  10. Article
  11. Article
  12. Nano Delivery System for Atherosclerosis.Journal of functional biomaterials · 2024
    Review
  13. Article
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  15. 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

3 authors at 1 institution in 1 country.

Yinyu WangDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Cuiping WangDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, China. wangcuipingpeople@hotmail.com.
Jiayan LiDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Jiangsu University · CN

Funding

Jiangsu Provincial Health Commission Fund Project H2018004Jiangsu Provincial Medical Youth Talent QNRC2016837
6 · The paper itself

Abstract

Neutrophil extracellular traps (NETs) are network-like structures released by activated neutrophils. They consist mainly of double-stranded DNA, histones, and neutrophil granule proteins. Continuous release of NETs in response to external stimuli leads to activation of surrounding platelets and monocytes/macrophages, resulting in damage to endothelial cells (EC) and vascular smooth muscle cells (VSMC). Some clinical trials have demonstrated the association between NETs and the severity and prognosis of atherosclerosis. Furthermore, experimental findings have shed light on the molecular mechanisms by which NETs contribute to atherogenesis. NETs play a significant role in the formation of atherosclerotic plaques. This review focuses on recent advancements in the understanding of the relationship between NETs and atherosclerosis. It explores various aspects, including the formation of NETs in atherosclerosis, clinical trials investigating NET-induced atherosclerosis, the mechanisms by which NETs promote atherogenesis, and the translational implications of NETs. Ultimately, we aim to propose new research directions for the diagnosis and treatment of atherosclerosis.

Indexed as

AtherosclerosisExtracellular TrapsAnimalsHumansNeutrophilsAtherosclerosisInflammationNeutrophil extracellular trapsNeutrophils

Identifiers

PMID38401035
OpenAlexW4392138226

What OpenQuestion holds

Textmetadata
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.