Evidence map›Paper›PMID 41839967›Full record

ArticleScientific reports2026

Molecular and spatial heterogeneity of macrophage like vascular smooth muscle cells in abdominal aortic aneurysms associated with intraluminal thrombus.

Xiaoying Ma, Bowen Liang, Qingsheng Lu, Chao Song

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

4 authors.

Xiaoying Ma *Department of Vascular Surgery, Changhai Hospital, 168 Changhai Road, Yangpu District, Shanghai, 200433, China.
Bowen Liang *Department of Vascular Surgery, Changhai Hospital, 168 Changhai Road, Yangpu District, Shanghai, 200433, China.
Qingsheng LuDepartment of Vascular Surgery, Changhai Hospital, 168 Changhai Road, Yangpu District, Shanghai, 200433, China.
Chao SongDepartment of Vascular Surgery, Changhai Hospital, 168 Changhai Road, Yangpu District, Shanghai, 200433, China. chao.song@vip.163.com.

Funding

the Young Scientists Fund of the National Natural Science Foundation of China No. 82100456the Young Scientists Fund of the National Natural Science Foundation of China No. 82400164
6 · The paper itself

Abstract

Abdominal aortic aneurysm (AAA) is a common cardiovascular disease resulting in high mortality rate due to rupture. Intraluminal thrombus (ILT) is involved in AAA progression via both biomechanically protective and biochemically destructive properties. In this study, we utilized multiplex immunofluorescence and GeoMx Digital Spatial Profiler to explore the following issues: (a) Is ILT associated with the phenotypic switching of vascular smooth muscle cells (VSMCs) in aortic aneurysms? (b) Does ILT enrich macrophage-like VSMCs in aortic aneurysms? (c) What role do macrophage-like VSMCs play in aortic aneurysms? We found that the proportion of CD68 + SMA+ double-positive cells was significantly increased in AAA with thrombus. Differential gene expression, gene set enrichment and gene signature analyses were performed, in which enrichments were mainly related to VSMC phenotypic switching, matrix remodeling and inflammatory response. The cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) was used to quantify the proportions of immune infiltration and the result was that the proportions of naive B cells, M1-type macrophages, and neutrophils were significantly higher in macrophage-like VSMC-rich areas of AAA with ILT. Furthermore, we predicted IL-6 and IL-1β as feature genes which displayed a positive correlation with neutrophil activation. Further, through in vitro assays, we showed that neutrophil extracellular traps (NETs) induce the phenotypic switching of VSMCs through the NF-κB signaling pathway. This study, based on cutting-edge GeoMx Digital Spatial Profiling technology, systematically revealed the cellular and molecular mechanisms underlying the phenotypic switching of VSMCs into macrophage-like cells in AAA associated with ILT. This discovery provides a novel cellular biology perspective for understanding the destructive role of ILT.

Indexed as

Aortic Aneurysm, AbdominalMacrophagesMuscle, Smooth, VascularMyocytes, Smooth MuscleThrombosisAnimalsHumansMaleAbdominal aortic aneurysmDigital Spatial ProfilerInflammatory responseIntraluminal thrombusMacrophage-like VSMCNeutrophil activation

Identifiers

PMID41839967
PMCPMC13125533

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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.