Evidence map›Paper›PMID 41497348›Full record

ReviewDrug design, development and therapy2025

Therapeutic Targeting of Signaling Pathways in Abdominal Aortic Aneurysm: From Pathogenesis to Precision Medicine.

Imran Ibrahim Shaikh, Shekhar Singh, Yuling Feng, Khawar Ali Shahzad, Jianfeng Wang, Quan Zhou, Shuanghu Wang, Chunlai Zeng, Chuxiao Shao

Abstract readReview
In one paragraph

Review in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Imran Ibrahim Shaikh *Central Laboratory of The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, 323000, People's Republic of China.
Shekhar Singh *Central Laboratory of The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, 323000, People's Republic of China.
Yuling FengDepartment of Vascular Surgery, Central Laboratory of The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, 323000, People's Republic of China.
Khawar Ali ShahzadDepartment of ORL-HNS, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.ORCID 0000-0003-3798-5301
Jianfeng WangCentral Laboratory of The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, 323000, People's Republic of China.
Quan ZhouCentral Laboratory of The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, 323000, People's Republic of China.
Shuanghu WangCentral Laboratory of The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, 323000, People's Republic of China.ORCID 0000-0002-0057-267X
Chunlai ZengCentral Laboratory of The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, 323000, People's Republic of China.
Chuxiao ShaoSchool of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, People's Republic of China.ORCID 0009-0000-2614-8300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abdominal aortic aneurysms (AAAs) are life-threatening cardiovascular disorders with limited treatment options, largely due to an incomplete understanding of their molecular and cellular pathogenesis. A comprehensive elucidation of the mechanisms driving AAA initiation, progression, and rupture is critical for developing novel therapeutic interventions. Emerging research has highlighted the central role of inflammatory processes in AAA pathophysiology, including dysregulated extracellular matrix (ECM) remodeling, chronic vascular inflammation, immune cell infiltration, and vascular smooth muscle cell (VSMC) dysfunction. These pathological processes are regulated by complex signaling pathways with divergent roles in AAA progression: while NF-κB, MAPK, STAT, and Notch signaling exacerbate disease pathogenesis, AMPK, PPAR-γ, and Nrf2 pathways exert protective effects. Notably, the PI3K/Akt and TGF-β signaling cascades demonstrate context-dependent dual roles, capable of either promoting or inhibiting AAA development. This comprehensive review synthesizes current knowledge of AAA pathophysiology with emphasis on druggable targets within these signaling networks. We critically evaluate emerging therapeutic strategies including miRNA-based interventions, nanoparticle-mediated drug delivery systems, and stem cell therapies that offer promising approaches for precision modulation of disease-specific pathways. By integrating current mechanistic understanding with therapeutic development, this review aims to provide a framework for designing effective pharmacological strategies that could transform AAA management from surgical intervention to medical prevention, addressing a critical unmet clinical need.

Indexed as

Aortic Aneurysm, AbdominalPrecision MedicineSignal TransductionAnimalsHumansMicroRNAsMicroRNAsabdominal aortic aneurysmcellular signalingextracellular matrix remodelinginflammationtherapeutic targetsvascular smooth muscle cell dysfunction

Identifiers

PMID41497348
PMCPMC12765943

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.