Evidence map›Paper›PMID 41566156›Full record

ArticleAnimal models and experimental medicine2026

Establishment of a mouse model of TMAO-induced cardiac injury and application of MICT intervention.

Zhongping Xie, Hong Zou, Lijing Gong, Minghui Lin, Caihua Huang

Abstract read
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Article in Animal models and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Zhongping XiePhysical Education Department, Xiamen University of Technology, Xiamen, China.ORCID 0009-0002-8719-9907
Hong ZouPhysical Education Department, Xiamen University, Xiamen, China.
Lijing GongKey Laboratory of Ministry of Education of Exercise and Physical Fitness, Beijing Sport University, Beijing, China.
Minghui LinPhysical Education Department, Xiamen University, Xiamen, China.
Caihua HuangPhysical Education Department, Xiamen University of Technology, Xiamen, China.

Funding

China Fundamental Research Funds for the Central Universities (Bejing Sport University) 2024TZJK001National Natural Science Foundation of China 32271496
6 · The paper itself

Abstract

backgroundThis study aims to explore the establishment of an animal model of cardiac injury induced by trimethylamine-N-oxide (TMAO), a metabolite secreted by gut microorganisms, and to investigate its application in moderate-intensity continuous training (MICT) intervention.

methodsC57BL6/J mice were randomly divided into four groups: normal mice (Nor, n = 15); mice administered TMAO (TMAO, n = 15); mice undergoing (Nor+MICT, n = 15); mice undergoing (MICT) and administered TMAO (TMAO+MICT, n = 15). Mice in the TMAO and TMAO+MICT groups received daily gavage of high-dose TMAO for 8 weeks, whereas those in the Nor+MICT and TMAO+MICT groups underwent MICT for 8 weeks (60 min per session, 5 days per week, at 50% maximal running capacity). Cardiac function was evaluated using ultrasound, myocardial histology was examined using hematoxylin and eosin (HE) staining, and nuclear magnetic resonance (NMR)-based metabolomics was employed for multivariate statistical and metabolic pathway analyses.

resultsRelative to the Nor group, TMAO-treated mice exhibited significant weight loss, elevated heart rate, and reduced ejection fraction and left ventricular fractional shortening, indicating cardiac impairment. Importantly, the TMAO+MICT group demonstrated significant improvements in these parameters compared to the TMAO group, alongside distinct alterations in myocardial metabolic profiles. TMAO altered five metabolic pathways relative to controls, whereas MICT induced significant changes in three pathways in TMAO-treated mice.

conclusionEight weeks of high-dose TMAO administration induced significant cardiac dysfunction in mice, which was effectively mitigated by MICT intervention. Consequently, this animal model serves as a valuable tool for investigating the mechanisms underlying the impact of MICT on cardiovascular diseases.

Indexed as

Disease Models, AnimalHeart DiseasesHeart InjuriesMethylaminesAnimalsHeartMaleMiceMice, Inbred C57BLMyocardiumMethylaminestrimethyloxamineanimal model of injuryheartMICTTMAO

Identifiers

PMID41566156
PMCPMC12907976

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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.