Evidence map›Paper›PMID 37720407›Full record

ReviewActa Cardiologica Sinica2023

The Role of Immune Mechanisms in Abdominal Aortic Aneurysm: Could It be a Promising Therapeutic Strategy?

Rasit Dinc

Abstract readReview
In one paragraph

Review in Acta Cardiologica Sinica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Review
  9. Article
  10. Role of Neutrophils as Therapeutic Targets in Intracerebral Hemorrhage.Therapeutic innovation & regulatory science · 2024
    Review
  11. Article
  12. Review
  13. 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

1 author.

Rasit DincINVAMED RD Global, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abdominal aortic aneurysm (AAA) is an enlargement of the aorta greater than 50% in diameter. Although up to 80% of cases result in mortality if the aneurysm ruptures, patients are often diagnosed too late, as most cases are asymptomatic. The current treatment for AAA is still surgery as there are currently no effective drug treatments. Knowledge of the pathophysiological mechanisms is essential for the development of new preventive and therapeutic approaches. However, the molecular mechanisms are complex and remain unclear. Apoptosis of vascular smooth muscle cells, the major cellular component of the aorta, and degeneration of the extracellular matrix, the skeleton of the aortic wall, are hallmarks of AAA pathology. Inflammation, mainly through macrophage cells, has been recognized as a central factor in the development of AAA. Macrophage cells also orchestrate other pathways and immune cells involved in this process. Macrophages do not exist as pure populations at aneurysm sites. M1 macrophages are pro-inflammatory and weaken the aortic wall during AAA development. M2 macrophages, in contrast, are involved in anti-inflammatory reactions and aorta tissue repair. The balancing effect on AAA progression makes M1/M2 macrophages therapeutic targets to control inflammation and destruction of the aortic wall. An early diagnosis is also important to allow for early interventions. This review article, based on the available data, aims to evaluate the role of an immunotherapeutic approach in controlling AAA development by briefly discussing the immunological mechanisms.

Indexed as

Abdominal aortic aneurysm (AAA)Immune mechanismsImmunotherapyM1/M2 macrophagesMacrophage polarization

Identifiers

PMID37720407
PMCPMC10499961

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.