Evidence map›Paper›PMID 38193576›Full record

ArticleDevelopment, growth & differentiation2024

Gene correction and overexpression of TNNI3 improve impaired relaxation in engineered heart tissue model of pediatric restrictive cardiomyopathy.

Moyu Hasegawa, Kenji Miki, Takuji Kawamura, Ikue Takei Sasozaki, Yuki Higashiyama, Masaru Tsuchida, Kunio Kashino, Masaki Taira, Emiko Ito, Maki Takeda and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Development, growth & differentiation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

14 authors at 4 institutions in 1 country.

Moyu HasegawaDepartment of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0002-9644-4962
Kenji MikiPremium Research Institute for Human Metaverse Medicine, Osaka University, Osaka, Japan.ORCID https://orcid.org/0000-0001-7901-6133
Takuji KawamuraDepartment of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Ikue Takei SasozakiDepartment of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Yuki HigashiyamaDepartment of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Masaru TsuchidaNTT Communication Science Laboratories, Media Information Research Department, Kanagawa, Japan.
Kunio KashinoPremium Research Institute for Human Metaverse Medicine, Osaka University, Osaka, Japan.
Masaki TairaDepartment of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Emiko ItoDepartment of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Maki TakedaDepartment of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Hidekazu IshidaDepartment of Pediatrics, Osaka University Graduate School of Medicine, Osaka, Japan.
Shuichiro HigoDepartment of Medical Therapeutics for Heart Failure, Osaka University Graduate School of Medicine, Osaka, Japan.
Yasushi SakataDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Shigeru MiyagawaDepartment of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
The University of Osaka · JPNTT (Japan) · JPOsaka University of Human Sciences · JPOsaka City University · JP

Funding

Japan Agency for Medical Research and Development 22bm0804008h0006Japan Agency for Medical Research and Development 22bm0804035h0001Japan Agency for Medical Research and Development 23bm1123035h0001Japan Agency for Medical Research and Development 23ek0109684h0001Japan Society for the Promotion of Science JP18K15120Japan Society for the Promotion of Science JP18KK0461
6 · The paper itself

Abstract

Research on cardiomyopathy models using engineered heart tissue (EHT) created from disease-specific induced pluripotent stem cells (iPSCs) is advancing rapidly. However, the study of restrictive cardiomyopathy (RCM), a rare and intractable cardiomyopathy, remains at the experimental stage because there is currently no established method to replicate the hallmark phenotype of RCM, particularly diastolic dysfunction, in vitro. In this study, we generated iPSCs from a patient with early childhood-onset RCM harboring the TNNI3 R170W mutation (R170W-iPSCs). The properties of R170W-iPSC-derived cardiomyocytes (CMs) and EHTs were evaluated and compared with an isogenic iPSC line in which the mutation was corrected. Our results indicated altered calcium kinetics in R170W-iPSC-CMs, including prolonged tau, and an increased ratio of relaxation force to contractile force in R170W-EHTs. These properties were reversed in the isogenic line, suggesting that our model recapitulates impaired relaxation of RCM, i.e., diastolic dysfunction in clinical practice. Furthermore, overexpression of wild-type TNNI3 in R170W-iPSC-CMs and -EHTs effectively rescued impaired relaxation. These results highlight the potential efficacy of EHT, a modality that can accurately recapitulate diastolic dysfunction in vitro, to elucidate the pathophysiology of RCM, as well as the possible benefits of gene therapies for patients with RCM.

Indexed as

CardiomyopathiesCardiomyopathy, RestrictiveInduced Pluripotent Stem CellsChildChild, PreschoolHumansMutationMyocytes, CardiacTroponin ITNNI1 protein, humanTroponin Iengineered heart tissueinduced pluripotent stem cellsrelaxation impairmentrestrictive cardiomyopathyTNNI3

Identifiers

PMID38193576
PMCPMC11457505
OpenAlexW4390762389

What OpenQuestion holds

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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 OpenQuestion graph.