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Proteomic Analysis of Human Plasma during Intermittent Fasting

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NIAID Data Ecosystem2026-03-11 收录
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https://figshare.com/articles/dataset/Proteomic_Analysis_of_Human_Plasma_during_Intermittent_Fasting/7932047
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Intermittent fasting (IF) increases lifespan and decreases metabolic disease phenotypes and cancer risk in model organisms, but the health benefits of IF in humans are less clear. Human plasma derived from clinical trials is one of the most difficult sample sets to analyze using mass spectrometry-based proteomics due to the extensive sample preparation required and the need to process many samples to achieve statistical significance. Here, we describe an optimized and accessible device (Spin96) to accommodate up to 96 StageTips, a widely used sample preparation medium enabling efficient and consistent processing of samples prior to LC–MS/MS. We have applied this device to the analysis of human plasma from a clinical trial of IF. In this longitudinal study employing 8-weeks IF, we identified significant abundance differences induced by the IF intervention, including increased apolipoprotein A4 (APOA4) and decreased apolipoprotein C2 (APOC2) and C3 (APOC3). These changes correlated with a significant decrease in plasma triglycerides after the IF intervention. Given that these proteins have a role in regulating apolipoprotein particle metabolism, we propose that IF had a positive effect on lipid metabolism through modulation of HDL particle size and function. In addition, we applied a novel human protein variant database to detect common protein variants across the participants. We show that consistent detection of clinically relevant peptides derived from both alleles of many proteins is possible, including some that are associated with human metabolic phenotypes. Together, these findings illustrate the power of accessible workflows for proteomics analysis of clinical samples to yield significant biological insight.

间歇性禁食(Intermittent Fasting, IF)在模式生物中可延长寿命、减轻代谢疾病表型并降低癌症风险,但间歇性禁食对人类的健康益处尚不明晰。人类临床试验来源的血浆是基于质谱的蛋白质组学(mass spectrometry-based proteomics)分析中最难处理的样本集之一,这是因为其需要复杂的样本前处理流程,且需要处理大量样本以获得统计学显著性。本研究介绍了一款经过优化且易于使用的装置(Spin96),可兼容最多96个StageTips——这是一种广泛使用的样本前处理介质,能够在液相色谱-串联质谱(LC–MS/MS)分析前实现高效且一致的样本处理。我们将该装置应用于间歇性禁食临床试验的人类血浆分析。本项纵向研究采用了为期8周的间歇性禁食干预,我们鉴定出了由该干预诱导的显著丰度变化,包括载脂蛋白A4(apolipoprotein A4, APOA4)水平升高,以及载脂蛋白C2(apolipoprotein C2, APOC2)与C3(apolipoprotein C3, APOC3)水平降低。这些变化与间歇性禁食干预后血浆甘油三酯的显著降低呈显著相关。鉴于这些蛋白质参与调控载脂蛋白颗粒代谢,我们提出间歇性禁食通过调节高密度脂蛋白(High-Density Lipoprotein, HDL)颗粒的大小与功能,对脂质代谢产生了积极影响。此外,我们采用了一款新型人类蛋白质变异数据库,以检测参与者体内的常见蛋白质变异。我们证实,能够稳定检测到源自多种蛋白质两个等位基因的临床相关肽段,其中包括一些与人类代谢表型相关的肽段。综上,这些研究结果证明了用于临床样本蛋白质组学分析的易用性工作流程的价值,可获得具有重要生物学意义的研究见解。
创建时间:
2019-04-02
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