单次HIIT不会改变健康年轻人的血液鞘脂水平:SphingoHIIT随机对照试验

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-07-06 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.07.004
Thomas Angst, Nadia Weber, Seraina Fischer, Joëlle Lehmann, Denis Infanger, Tony Teav, Fabian Schwendinger, Lukas Streese, Timo Hinrichs, Ilaria Croci, Christian Schmied, Hector Gallart-Ayala, Christoph Höchsmann, Karsten Koehler, Henner Hanssen, Arno Schmidt-Trucksäss, Julijana Ivanisevic, Justin Carrard
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引用次数: 0

摘要

神经鞘脂和神经酰胺已被确定为心脏代谢疾病的关键驱动因素。神经酰胺评分被开发出来,独立于低密度脂蛋白胆固醇之外预测心脏代谢风险。到目前为止,运动是否能调节神经鞘脂水平仍不得而知。方法:SphingoHIIT研究是第一个平行随机对照试验,旨在研究单次高强度间歇训练(HIIT;4 ×4 min(最大心率的85-95 %)对血液鞘脂水平的影响。36名健康青年(20-29岁);50 %女性)被随机分配到HIIT组(n = 18)或对照组(n = 18)。在干预前3天和干预后5个时间点(2、15、30、60 min和24 h)采集干血点,测量鞘脂水平。研究条件严格控制:女性在月经周期的早期卵泡期进行测试,在抽血前连续四天提供标准化膳食。结果:共获得47种鞘脂,其中神经酰胺类25种,鞘脂糖类8种,鞘磷脂类8种,鞘碱类6种。在调整性别、体脂量、心肺健康和日常体力活动后,线性混合模型显示HIIT组和对照组在干预后任何时间点的鞘脂水平均无显著差异。结论:目前的研究结果表明,循环鞘脂对急性剧烈运动具有弹性,这是心脏代谢风险的潜在生物标志物的一个有趣特征。未来的研究应该调查是否有规律的运动影响鞘脂水平和改善不同临床人群的心脏代谢健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A single HIIT session does not alter blood sphingolipid levels in healthy young adults: The SphingoHIIT randomized controlled trial.

Introduction: Sphingolipids and ceramides have been identified as critical drivers of cardiometabolic diseases. Ceramide-based scores were developed, predicting cardiometabolic risk independently of and beyond low-density lipoprotein cholesterol. To date, it remains largely unknown whether exercise can modulate sphingolipid levels.

Methods: The SphingoHIIT study was the first parallel randomized controlled trial to investigate the impact of a single session of high-intensity interval training (HIIT; 4 ×4 min at 85-95 % of maximal heart rate) on blood sphingolipid levels. Thirty-six healthy young individuals (aged 20-29 years; 50 % female) were randomly assigned to a HIIT (n = 18) or control group (physical rest, n = 18). Sphingolipid levels were measured from dried blood spots collected over three days before and at five time points after the intervention (2, 15, 30, 60 min, and 24 h). Study conditions were tightly controlled: females were tested during the early follicular phase of their menstrual cycle, and standardized meals were provided for four consecutive days before blood sampling.

Results: Forty-seven sphingolipid species were acquired, including 25 ceramides, eight glycosphingolipids, eight sphingomyelins, and six sphingoid bases. After adjusting for sex, body fat mass, cardiorespiratory fitness, and daily physical activity, linear mixed models showed no significant differences in sphingolipid levels between the HIIT and control groups at any post-intervention time point.

Conclusion: The present findings suggest that circulating sphingolipids are resilient to an acute bout of intensive exercise, an interesting feature for potential biomarkers of cardiometabolic risk. Future studies should investigate whether regular exercise influences sphingolipid levels and improves cardiometabolic health in different clinical populations.

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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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