Evidence map›Paper›PMID 35187100›Full record

ArticleFrontiers in cardiovascular medicine2021

Unique Angiogenesis From Cardiac Arterioles During Pericardial Adhesion Formation.

Kenji Namiguchi, Tomohisa Sakaue, Mikio Okazaki, Kaho Kanno, Yuhei Komoda, Fumiaki Shikata, Mie Kurata, Noritaka Ota, Yoshiaki Kubota, Hirotsugu Kurobe and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2021. 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
0.4field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  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

14 authors at 4 institutions in 1 country.

Kenji NamiguchiDepartment of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan.
Tomohisa SakaueDepartment of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan.
Mikio OkazakiDepartment of General Thoracic Surgery, Okayama University Graduate School of Medicine, Okayama, Japan.
Kaho KannoDepartment of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan.
Yuhei KomodaDepartment of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan.
Fumiaki ShikataDepartment of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan.
Mie KurataDepartment of Pathology, Division of Analytical Pathology, Ehime University Graduate School of Medicine, Toon, Japan.
Noritaka OtaDepartment of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan.
Yoshiaki KubotaDepartment of Anatomy, Keio University School of Medicine, Tokyo, Japan.
Hirotsugu KurobeDepartment of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan.
Takashi NishimuraDepartment of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan.
Junya MasumotoDepartment of Pathology, Division of Analytical Pathology, Ehime University Graduate School of Medicine, Toon, Japan.
Shigeki HigashiyamaDepartment of Cell Growth and Tumor Regulation, Proteo-Science Center, Toon, Japan.
Hironori IzutaniDepartment of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan.
Ehime University · JPKeio University · JPOkayama University · JPOsaka Medical Center for Cancer and Cardiovascular Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe molecular mechanisms underlying post-operative pericardial adhesions remain poorly understood. We aimed to unveil the temporal molecular and cellular mechanisms underlying tissue dynamics during adhesion formation, including inflammation, angiogenesis, and fibrosis. METHODS AND

resultsWe visualized cell-based tissue dynamics during pericardial adhesion using histological evaluations. To determine the molecular mechanism, RNA-seq was performed. Chemical inhibitors were administered to confirm the molecular mechanism underlying adhesion formation. A high degree of adhesion formation was observed during the stages in which collagen production was promoted. Histological analyses showed that arterioles excessively sprouted from pericardial tissues after the accumulation of neutrophils on the heart surface in mice as well as humans. The combination of RNA-seq and histological analyses revealed that hyperproliferative endothelial and smooth muscle cells with dedifferentiation appeared in cytokine-exposed sprouting vessels and adhesion tissue but not in quiescent vessels in the heart. SMAD2/3 and ERK activation was observed in sprouting vessels. The simultaneous abrogation of PI3K/ERK or TGF-β/MMP9 signaling significantly decreased angiogenic sprouting, followed by inhibition of adhesion formation. Depleting MMP9-positive neutrophils shortened mice survival and decreased angiogenic sprouting and fibrosis in the adhesion. Our data suggest that TGF-β/matrix metalloproteinase-dependent tissue remodeling and PI3K/ERK signaling activation might contribute to unique angiogenesis with dedifferentiation of vascular smooth muscle cells from the contractile to the synthetic phenotype for fibrosis in the pericardial cavity.

conclusionsOur findings provide new insights in developing prevention strategies for pericardial adhesions by targeting the recruitment of vascular cells from heart tissues.

Indexed as

angiogenesisarteriolefibrosismouse modelpericardial adhesions

Identifiers

PMID35187100
PMCPMC8852280
OpenAlexW4210806969

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.