Effect of an acute session of intermittent exercise on trimethylamine N-oxide (TMAO) production following choline ingestion.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Metabolomics Pub Date : 2024-10-05 DOI:10.1007/s11306-024-02177-0
Marilyn L Y Ong, Christopher G Green, Samantha N Rowland, Katie Rider, Harry Sutcliffe, Mark P Funnell, Andrea Salzano, Liam M Heaney
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Abstract

Introduction: Trimethylamine N-oxide (TMAO) is a gut bacteria-dependent metabolite associated with poor cardiovascular health. Exercise is a known cardioprotective activity but the impact of an acute bout of exercise on TMAO production is unknown.

Objectives/methods: This study assessed choline-derived production of TMAO following a single bout of intermittent exercise in a young, healthy cohort.

Results: Choline supplemented after either exercise or a time-matched resting period demonstrated a similar increase in circulating TMAO across an 8-hour period.

Conclusion: This suggests that a single bout of intermittent exercise does not alter gut microbial metabolic behaviour and thus does not provide additional cardioprotective benefits related to blood levels of TMAO.

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急性间歇运动对摄入胆碱后三甲胺 N-氧化物(TMAO)生成的影响。
简介三甲胺 N-氧化物(TMAO)是一种依赖于肠道细菌的代谢物,与心血管健康状况不佳有关。运动是一种已知的心血管保护活动,但急性运动对 TMAO 生成的影响尚不清楚:本研究评估了在年轻健康人群中进行单次间歇运动后胆碱衍生的 TMAO 生成情况:结果:无论是在运动后还是在时间匹配的静止期后补充胆碱,循环中的 TMAO 在 8 小时内都有类似的增加:结论:这表明单次间歇运动不会改变肠道微生物的代谢行为,因此不会提供与血液中 TMAO 水平相关的额外心脏保护益处。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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