Evidence map›Paper›PMID 37828990›Full record

ReviewFrontiers in immunology2023

Neutrophil extracellular traps and long COVID.

Areez Shafqat, Mohamed H Omer, Ibrahem Albalkhi, Ghazi Alabdul Razzak, Humzah Abdulkader, Saleha Abdul Rab, Belal Nedal Sabbah, Khaled Alkattan, Ahmed Yaqinuddin

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
6.1field-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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Neutrophil Extracellular Traps in Viral Infections.Pathogens (Basel, Switzerland) · 2025
    Pooled it
  2. Vascular inflammation in neuropsychiatric long COVID.Brain, behavior, & immunity - health · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Lipid nanoparticles target neutrophils to reduce SARS-CoV-2-induced lung injury and inflammation.Journal of controlled release : official journal of the Controlled Release Society · 2025
    Article
  14. NETosis: A key player in autoimmunity, COVID-19, and long COVID.Journal of translational autoimmunity · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Detection of autoantibodies in severe COVID-19 patients two years after hospital discharge.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2025
    Article
  20. Pathological Sequelae of SARS-CoV-2: A Review for Clinicians.The Yale journal of biology and medicine · 2024
    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

9 authors at 2 institutions in 2 countries.

Areez ShafqatCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Mohamed H OmerSchool of Medicine, Cardiff University, Cardiff, United Kingdom.
Ibrahem AlbalkhiCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Ghazi Alabdul RazzakCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Humzah AbdulkaderCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Saleha Abdul RabCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Belal Nedal SabbahCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Khaled AlkattanCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Ahmed YaqinuddinCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Alfaisal University · SACardiff University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-acute COVID-19 sequelae, commonly known as long COVID, encompasses a range of systemic symptoms experienced by a significant number of COVID-19 survivors. The underlying pathophysiology of long COVID has become a topic of intense research discussion. While chronic inflammation in long COVID has received considerable attention, the role of neutrophils, which are the most abundant of all immune cells and primary responders to inflammation, has been unfortunately overlooked, perhaps due to their short lifespan. In this review, we discuss the emerging role of neutrophil extracellular traps (NETs) in the persistent inflammatory response observed in long COVID patients. We present early evidence linking the persistence of NETs to pulmonary fibrosis, cardiovascular abnormalities, and neurological dysfunction in long COVID. Several uncertainties require investigation in future studies. These include the mechanisms by which SARS-CoV-2 brings about sustained neutrophil activation phenotypes after infection resolution; whether the heterogeneity of neutrophils seen in acute SARS-CoV-2 infection persists into the chronic phase; whether the presence of autoantibodies in long COVID can induce NETs and protect them from degradation; whether NETs exert differential, organ-specific effects; specifically which NET components contribute to organ-specific pathologies, such as pulmonary fibrosis; and whether senescent cells can drive NET formation through their pro-inflammatory secretome in long COVID. Answering these questions may pave the way for the development of clinically applicable strategies targeting NETs, providing relief for this emerging health crisis.

Indexed as

COVID-19Extracellular TrapsPulmonary FibrosisHumansInflammationPost-Acute COVID-19 SyndromeSARS-CoV-2autoimmunityCOVID-19fibrosisinflammationlong covidneutrophil extracellular trapsneutrophilsthrombosis

Identifiers

PMID37828990
PMCPMC10565006
OpenAlexW4387138530

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.