Evidence map›Paper›PMID 39195917›Full record

ArticleNature cardiovascular research2022

Spatiotemporal transcriptome analysis reveals critical roles for mechano-sensing genes at the border zone in remodeling after myocardial infarction.

Shintaro Yamada, Toshiyuki Ko, Satoshi Hatsuse, Seitaro Nomura, Bo Zhang, Zhehao Dai, Shunsuke Inoue, Masayuki Kubota, Kosuke Sawami, Takanobu Yamada and 11 more

Abstract read
In one paragraph

Article in Nature cardiovascular research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
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  7. Spatial architecture of development and disease.Nature reviews. Genetics · 2026
    Review
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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

21 authors.

Shintaro Yamada *Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-3240-358X
Toshiyuki Ko *Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Satoshi Hatsuse *Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Seitaro Nomura *Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan. senomura-cib@umin.ac.jp.
Bo ZhangDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Zhehao DaiDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-0363-7563
Shunsuke InoueDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Masayuki KubotaDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Kosuke SawamiDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Takanobu YamadaDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Tatsuro SassaDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Mikako KatagiriDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-0529-6619
Kanna FujitaDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Manami KatohGenome Science Division, Research Center for Advanced Science and Technologies, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-5634-9170
Masamichi ItoDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Mutsuo HaradaDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Haruhiro TokoDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Norifumi TakedaDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4818-3347
Hiroyuki MoritaDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Hiroyuki AburataniGenome Science Division, Research Center for Advanced Science and Technologies, University of Tokyo, Tokyo, Japan. haburata-tky@umin.ac.jp.ORCID http://orcid.org/0000-0003-0438-1544
Issei KomuroDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan. komuro-tky@umin.ac.jp.ORCID http://orcid.org/0000-0002-0714-7182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The underlying mechanisms of ventricular remodeling after myocardial infarction (MI) remain largely unknown. In this study, we performed an integrative analysis of spatial transcriptomics and single-nucleus RNA sequencing (snRNA-seq) in a murine MI model and found that mechanical stress-response genes are expressed at the border zone and play a critical role in left ventricular remodeling after MI. An integrative analysis of snRNA-seq and spatial transcriptome of the heart tissue after MI identified the unique cluster that appeared at the border zone in an early stage, highly expressing mechano-sensing genes, such as Csrp3. AAV9-mediated gene silencing and overexpression of Csrp3 demonstrated that upregulation of Csrp3 plays critical roles in preventing cardiac remodeling after MI by regulation of genes associated with mechano-sensing. Overall, our study not only provides an insight into spatiotemporal molecular changes after MI but also highlights that the mechano-sensing genes at the border zone act as adaptive regulators of left ventricular remodeling.

Identifiers

PMID39195917
PMCPMC11358009

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.