Global Proteomics Reveals Distinct Muscle Adaptations to Menstrual Cycle Phase-Based Sprint Interval Training in Endurance-Trained Females.

IF 5.5 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Julie Kissow, Kamine Julie Jacobsen, Søren Jessen, Laura Bachmann Thomsen, Júlia Prats Quesada, Jens Bangsbo, Atul Shahaji Deshmukh, Morten Hostrup
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引用次数: 0

Abstract

Advances in mass-spectrometry (MS)-based technologies have leveraged our understanding of protein-wide adaptations in human skeletal muscle in response to exercise. However, there is a lack of such data in females, particularly pertaining to already trained females and menstrual cycle phase-based sprint interval training (SIT) despite its efficacy and popularity. Here, we present a comprehensive global proteome analysis of skeletal muscle adaptations to high-frequency SIT during different menstrual cycle phases in endurance-trained females. We randomized 49 eumenorrheic females to either high-frequency SIT in the follicular (FB) or luteal phase (LB) over one menstrual cycle comprising eight sessions of 6 × 30-s all-out efforts. MS-proteomics, covering 4155 proteins after filtering, revealed notable differences in muscle adaptations to phase-based SIT. LB suppressed mitochondrial pathways of the tricarboxylic acid cycle and electron transport chain while enriching ribosomal complexes. Conversely, FB enriched filament organization and skeletal system development. Mitochondrial repression during LB was linked to reduced V˙ O2max, whereas exercise capacity improved in FB only. Our findings show that menstrual cycle phase-based high-frequency SIT induces distinct protein-wide muscle adaptations and affects phenotype in endurance-trained eumenorrheic females. NCT04136457.

全球蛋白质组学揭示了耐力训练女性对月经周期阶段冲刺间歇训练的独特肌肉适应。
基于质谱(MS)技术的进步使我们对人体骨骼肌对运动的蛋白质适应有了更深入的了解。然而,在女性中缺乏这样的数据,特别是关于已经训练过的女性和基于月经周期阶段的冲刺间歇训练(SIT)的数据,尽管它很有效,很受欢迎。在这里,我们提出了一项全面的全球蛋白质组学分析,分析了耐力训练的女性在不同月经周期阶段对高频SIT的骨骼肌适应。我们随机选择了49名痛经女性,在一个月经周期(包括8次6×30-s全力以赴)中,在卵泡期(FB)或黄体期(LB)进行高频SIT治疗。过滤后覆盖4155个蛋白的ms -蛋白质组学显示,肌肉对相基SIT的适应存在显著差异。LB抑制线粒体三羧酸循环和电子传递链通路,同时富集核糖体复合物。相反,FB促进了纤维组织和骨骼系统的发育。LB期间线粒体抑制与V˙O2max降低有关,而FB仅改善运动能力。我们的研究结果表明,基于月经周期阶段的高频SIT诱导了不同的蛋白质范围的肌肉适应,并影响了耐力训练的痛经女性的表型。临床试验注册号:nct04136457。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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