Evidence map›Paper›PMID 40977753›Full record

ArticleJVS-vascular science2025

Vascular adhesion molecule 1

Qunsheng Dai, Changxin Wan, Yueyuan Xu, Kaileen Fei, Lindsey A Olivere, Hana Shafique, Shaghayegh Sadeghmousavi, Camryn Johnson, Brianna Garrett, Leo Akers and 6 more

Abstract read
In one paragraph

Article in JVS-vascular science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Qunsheng DaiDivision of Vascular and Endovascular Surgery, Department of Surgery, Duke University Medical Center, Durham, NC.
Changxin WanDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.
Yueyuan XuDepartment of Cell Biology, Duke University Medical Center, Durham, NC.
Kaileen FeiDuke University School of Medicine, Duke University, Durham, NC.
Lindsey A OlivereDivision of Vascular Surgery, Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Hana ShafiqueDuke University School of Medicine, Duke University, Durham, NC.
Shaghayegh SadeghmousaviDivision of Vascular and Endovascular Surgery, Department of Surgery, Duke University Medical Center, Durham, NC.
Camryn JohnsonDepartment of Biology, Trinity College of Arts and Sciences, Duke University, Durham, NC.
Brianna GarrettDivision of Vascular and Endovascular Surgery, Department of Surgery, Duke University Medical Center, Durham, NC.
Leo AkersDivision of Vascular and Endovascular Surgery, Department of Surgery, Duke University Medical Center, Durham, NC.
Derek PetersDepartment of Cell Biology, Duke University Medical Center, Durham, NC.
James OttoDivision of Vascular and Endovascular Surgery, Department of Surgery, Duke University Medical Center, Durham, NC.
Christopher D KontosDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC.
Zhiceng JiDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.
Yarui DiaoDepartment of Cell Biology, Duke University Medical Center, Durham, NC.
Kevin W SoutherlandDivision of Vascular and Endovascular Surgery, Department of Surgery, Duke University Medical Center, Durham, NC.

Funding

Mechanisms Regulating Vascular HomeostasisR01HL156009 · NHLBI · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 2021 to 2024
$2.2M
NHLBI NIH HHS R01 HL156009
6 · The paper itself

Abstract

Background: Skeletal muscle health and function are critical determinants of clinical outcomes in peripheral arterial disease. Chronic limb-threatening ischemia (CLTI), the most severe clinical manifestation of peripheral arterial disease, is associated with a 1-year amputation rate of 25%. In patients with CLTI, myosteatosis-the ectopic deposition of adipocytes-is independently associated with amputation. The mechanisms responsible for myosteatosis in patients with CLTI remain unknown. In this study, we aim to identify both the causal cellular population and the molecular mechanisms in patients with CLTI that promote myosteatosis. Methods: To identify a candidate causal cell type and putative signaling axis that promotes myosteatosis, we performed single cell transcriptomic and chromatin accessibility profiling of ischemic muscle in a preclinical CLTI model. To assess the adipogenic potential for candidate subpopulations, we used an in vitro adipogenesis assay; myosteatosis was determined by Oil Red O (ORO), perilipin, and peroxisome proliferator-activated receptor gamma (PPAR-γ) staining. To determine the necessity of candidate transcriptional and epigenetic regulators, we used a small interfering RNA (siRNA). Finally, to assess the clinical significance of our findings, we used a publicly available human CLTI single cell RNA-sequencing dataset. Results: Bulk-RNA sequencings and ORO staining reveal myosteatosis as a hallmark feature of the CLTI limb. Bioinformatic analyses reveal vascular adhesion molecule 1 (Vcam1) Conclusions: Collectively, our results identify a pro-adipogenic FAP subpopulation in patients with CLTI and provide a potential therapeutic target for myosteatosis in patients with CLTI. Clinical Relevance: Myosteatosis, the pathological accumulation of fat within skeletal muscle, is increasingly recognized as a critical determinant of adverse clinical outcomes in peripheral arterial disease (PAD). Current therapies for PAD focus on revascularization and risk factor modification, but do not directly target myopathy. There is a critical need for regenerative and cellular therapies to restore muscle integrity and function. This study addresses this need by identifying a candidate causal cellular population, Vcam1

Indexed as

AmputationChronic limb-threatening ischemiaFibro-adipogenic progenitorsMyosteatosisPeripheral arterial disease

Identifiers

PMID40977753
PMCPMC12446680

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.