Evidence map›Paper›PMID 40857411›Full record

ArticleJCI insight2025

Single-cell spatial transcriptomics unravels the cellular landscape of abdominal aortic aneurysm.

Guizhen Zhao, Chun-Seok Cho, Hongyu Liu, Yongha Hwang, Yichen Si, Myungjin Kim, Yongjie Deng, Yang Zhao, Chao Xue, Yanhong Guo and 7 more

Abstract read
In one paragraph

Article in JCI insight, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Considerations in the Use of Mouse Models of Vascular and Valvular Calcification.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  2. Emerging Mechanisms of Abdominal Aortic Aneurysm.Current atherosclerosis reports · 2026
    Review
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  6. Article
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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

17 authors.

Guizhen ZhaoDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Chun-Seok ChoDepartment of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Hongyu LiuDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Yongha HwangDepartment of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Yichen SiDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Myungjin KimDepartment of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Yongjie DengDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Yang ZhaoDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Chao XueDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Yanhong GuoDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Lin ChangDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Dogukan MizrakDepartment of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Bo YangDepartment of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Hyun Min KangDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Jifeng ZhangDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Jun Hee LeeDepartment of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Y Eugene ChenDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.

Funding

Using genetics to discover mechanisms of myocardial infarctionR01HL109946 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YUQING Eugene CHEN, Ida Liisa Surakka · 2011 to 2026
$8.9M
KLF14 and Cardiovascular DiseaseR01HL134569 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, YUQING EUGENE · 2017 to 2024
$5.3M
Therapeutic Insights into Loeys-Dietz Syndrome using Humanized ModelsR01HL151776 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Bo Yang · 2020 to 2026
$4.2M
Define the mechanisms of aortopathy in bicuspid aortic valve patientsR01HL141891 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YANG, BO · 2018 to 2022
$3.5M
Nitro-Fatty Acids and Cardiovascular DiseaseR01HL162294 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, YUQING EUGENE, GARCIA-BARRIO, MINERVA T · 2022 to 2025
$2.9M
BAF60c and abdominal aortic aneurysmR01HL153710 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, JIFENG · 2021 to 2025
$2.7M
Kruppel-like factor 11 (KLF11) and atherosclerosisR01HL138139 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, JIFENG · 2017 to 2021
$2.3M
Sestrins-mediated integration of leucine and exercise benefits for mitochondrial homeostasisR01AG079163 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Myungjin Kim, Jun Hee Lee · 2023 to 2026
$2.1M
Metaboloepigenetics and AtherosclerosisR01HL172832 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Guizhen Zhao · 2024 to 2026
$1.8M
Seq-Scope: Microscopic Examination of Spatial Single Cell Transcriptome in Cell and Tissue SenescenceUH3CA268091 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, JUN HEE · 2023 to 2025
$1.7M
Scalable and Translational Analysis Tools on the Cloud for Deep Integrative Omics DataU01HL137182 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHOU, XIANG · 2017 to 2019
$1.6M
Seq-Scope: Microscopic Examination of Spatial Single Cell Transcriptome in Cell and Tissue SenescenceUG3CA268091 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, JUN HEE · 2021 to 2022
$1.1M
NCI NIH HHS UG3 CA268091NCI NIH HHS UH3 CA268091NHLBI NIH HHS R01 HL109946NHLBI NIH HHS R01 HL134569NHLBI NIH HHS R01 HL138139NHLBI NIH HHS R01 HL141891NHLBI NIH HHS R01 HL151776NHLBI NIH HHS R01 HL153710NHLBI NIH HHS R01 HL162294NHLBI NIH HHS R01 HL172832NHLBI NIH HHS U01 HL137182NIA NIH HHS R01 AG079163
6 · The paper itself

Abstract

Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease with no effective pharmacological interventions. While single-cell transcriptomics has advanced our understanding of AAA, it lacks spatial context. Here, we employed Seq-Scope, an ultra-high-resolution spatial transcriptomic technology, to decipher the spatial landscape of angiotensin II-induced AAA in Apoe-/- mice. Our analysis revealed the heterogeneity of macrophages, fibroblasts, and smooth muscle cells (SMCs), with specific responses in different layers of the AAA tissue. SMCs in the inner layers showed associations with Mgp-expressing fibroblasts and GPNMB-expressing macrophages, whereas the outer layers had different dominant cell types. Notably, GPNMB-expressing macrophages were concentrated near SMCs in regions of severe elastic lamina damage. Immunofluorescent staining confirmed their colocalization, and scRNA-seq reanalysis independently validated the presence of GPNMB-high macrophages in AAA tissues, highlighting their involvement in inflammation and tissue remodeling. Moreover, we discovered that macrophage-derived soluble GPNMB induces SMC phenotypic switching, reducing contractile markers while increasing cytokines and metalloproteinases. This effect was partly mediated by CD44 signaling. These findings suggest that GPNMB-high macrophages contribute to AAA development by driving SMC dysfunction. This study highlights the importance of high-resolution spatial transcriptomics in complementing single-cell transcriptomics, offering valuable insights into molecular and cellular responses in the AAA microenvironment.

Indexed as

Aortic Aneurysm, AbdominalTranscriptomeAngiotensin IIAnimalsDisease Models, AnimalEye ProteinsFibroblastsGene Expression ProfilingMacrophagesMaleMembrane GlycoproteinsMiceMice, Inbred C57BLMyocytes, Smooth MuscleSingle-Cell AnalysisAngiotensin IIEye ProteinsGpnmb protein, mouseMembrane GlycoproteinsCardiologyCardiovascular diseaseVascular biology

Identifiers

PMID40857411
PMCPMC12406718

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Registered trials

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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.