Evidence map›Paper›PMID 41372714›Full record

ArticleMolecular imaging and biology2026

Ethyl Pyruvate Promotes Wound Healing in Elastase-Induced Lung Injury in Mice as Assessed by Hyperpolarized

Atsuomi Kimura, Akihiro Shimokawa, Neil J Stewart, Rie Hosoi, Hirohiko Imai, Hideaki Fujiwara

Abstract read
In one paragraph

Article in Molecular imaging and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Atsuomi KimuraDivision of Health Sciences, Graduate School of Medicine, The University of Osaka, 1-7 Yamadaoka, Suita, Osaka, 565-0871, Japan. kimura@sahs.med.osaka-u.ac.jp.ORCID http://orcid.org/0000-0001-5702-276X
Akihiro ShimokawaDivision of Health Sciences, Graduate School of Medicine, The University of Osaka, 1-7 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Neil J StewartDivision of Clinical Medicine, School of Medicine & Population Health, Faculty of Health, POLARIS, University of Sheffield, Sheffield, UK.
Rie HosoiDivision of Health Sciences, Graduate School of Medicine, The University of Osaka, 1-7 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Hirohiko ImaiInnovation Research Center for Quantum Medicine, Gifu University School of Medicine, 1-1 Yanagido, Gifu, 501-1194, Japan.
Hideaki FujiwaraDivision of Health Sciences, Graduate School of Medicine, The University of Osaka, 1-7 Yamadaoka, Suita, Osaka, 565-0871, Japan.

Funding

the Ministry of Education, Culture, Science, Sports, and Technology of Japan 20H04516
6 · The paper itself

Abstract

purposeWound healing process in lung injury involves the activation of the mitogen-activated protein kinase (MAPK) pathway. In this study, we investigated the role of the MAPK pathway in wound healing in a murine model of emphysema using hyperpolarized PROCEDURES: Porcine pancreatic elastase was administered intratracheally to 25 mice to induce lung injury. Temporal changes in pulmonary gas exchange function were monitored using HP

resultsHP

conclusionsIn the present study, we provide some insight into the role of the MAPK pathway in wound healing in elastase-induced lung injury, as assessed using the HP

Indexed as

Lung InjuryMagnetic Resonance ImagingPancreatic ElastasePyruvatesWound HealingXenon IsotopesAnimalsDisease Models, AnimalMaleMiceMice, Inbred C57BLethyl pyruvatePancreatic ElastasePyruvatesXenon-129Xenon IsotopesElastase-induced lung injuryEthyl pyruvateHyperpolarized 129Xe magnetic resonance imagingMitogen-activated protein kinaseNicorandil

Identifiers

PMID41372714
PMCPMC12966195

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.