Evidence map›Paper›PMID 27792649›Full record

ArticleJournal of the American Heart Association2016

Macrophage Foam Cell-Derived Extracellular Vesicles Promote Vascular Smooth Muscle Cell Migration and Adhesion.

Chenguang Niu, Xu Wang, Mingming Zhao, Tanxi Cai, Peibin Liu, Jizhao Li, Belinda Willard, Lingyun Zu, Enchen Zhou, Yufeng Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

93 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Kidney-heart crosstalk: the extracellular vesicles connection.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
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33 more citing papers are in PubMed but not listed here.

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

13 authors at 6 institutions in 2 countries.

Chenguang NiuInstitute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University Health Science Center, Beijing, China.
Xu WangInstitute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University Health Science Center, Beijing, China.
Mingming ZhaoInstitute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University Health Science Center, Beijing, China.
Tanxi CaiLaboratory of Protein and Peptide Pharmaceuticals and Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Peibin LiuLaboratory of Protein and Peptide Pharmaceuticals and Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Jizhao LiInstitute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University Health Science Center, Beijing, China.
Belinda WillardProteomics Laboratory, Cleveland Clinic, Cleveland, OH.
Lingyun ZuDepartment of Cardiology, Peking University Third Hospital, Beijing, China.
Enchen ZhouInstitute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University Health Science Center, Beijing, China.
Yufeng LiDepartment of Endocrinology and Metabolism, Capital Medical University Pinggu Teaching Hospital, Beijing, China.
Bing PanInstitute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University Health Science Center, Beijing, China.
Fuquan YangLaboratory of Protein and Peptide Pharmaceuticals and Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China fqyang@ibp.ac.cn zhengl@bjmu.edu.cn.
Lemin ZhengInstitute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University Health Science Center, Beijing, China fqyang@ibp.ac.cn zhengl@bjmu.edu.cn.
Peking University · CNChinese Academy of Sciences · CNCapital Medical University · CNCleveland Clinic · USInstitute of Biophysics · CNPeking University Third Hospital · CN

Funding

LTQ-Orbitrap Velos instrumentS10RR031537 · NCRR · CLEVELAND CLINIC LERNER COM-CWRU · PI WILLARD, BELINDA BELLE · 2011 to 2011
$600k
NCRR NIH HHS S10 RR031537
6 · The paper itself

Abstract

backgroundA new mechanism for intercellular communication has recently emerged that involves intercellular transfer of extracellular vesicles (EVs). Several studies have indicated that EVs may play a potential role in cell-to-cell communication between macrophage foam cells and vascular smooth muscle cells (VSMCs) in atherosclerotic lesion. METHODS AND

resultsThis study involved the comparison of circulating EVs from atherosclerotic patients and control participants. The results showed that the circulation of the patients contained more leukocyte-derived EVs and that these EVs promoted more VSMC adhesion and migration than those of healthy participants. We then established a macrophage foam cell model and characterized the EVs from the macrophages. We used flow cytometric analyses and cell migration and adhesion assays and determined that the foam cells generated more EVs than the normal macrophages and that the foam cell-derived EVs were capable of promoting increased levels of VSMC migration and adhesion. Furthermore, we performed a proteomic analysis of the EVs. The data showed that the foam cell-derived EVs may promote VSMC adhesion and migration by regulating the actin cytoskeleton and focal adhesion pathways. In addition, Western blotting revealed that foam cell-derived EVs could promote the phosphorylation of ERK and Akt in VSMCs in a time-dependent manner. We also found that foam cell-derived EVs could enter the VSMCs and transfer integrins to the surface of these cells.

conclusionsThe data in our present study provide the first evidence that EVs from foam cells could promote VSMC migration and adhesion, which may be mediated by the integration of EVs into VSMCs and the subsequent downstream activation of ERK and Akt.

Indexed as

Cell AdhesionCell MovementMyocytes, Smooth MuscleActin CytoskeletonAgedAtherosclerosisBlotting, WesternCase-Control StudiesExtracellular Signal-Regulated MAP KinasesExtracellular VesiclesFemaleFlow CytometryFoam CellsHumansIntegrinsMacrophagesExtracellular Signal-Regulated MAP KinasesIntegrinsProto-Oncogene Proteins c-aktatherosclerosisexosomesmicroparticlesmicrovesiclesproteomics

Identifiers

PMID27792649
PMCPMC5121506
OpenAlexW2536158438

What OpenQuestion 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 OpenQuestion graph.