Comparative analysis of circulating metabolomic profiles identifies shared metabolic alterations across distinct multistressor military training exercises.

IF 2.5 4区 生物学 Q3 CELL BIOLOGY
Physiological genomics Pub Date : 2024-07-01 Epub Date: 2024-05-13 DOI:10.1152/physiolgenomics.00008.2024
Michael Daniels, Lee M Margolis, Jennifer C Rood, Harris R Lieberman, Stefan M Pasiakos, J Philip Karl
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引用次数: 0

Abstract

Military training provides insight into metabolic responses under unique physiological demands that can be comprehensively characterized by global metabolomic profiling to identify potential strategies for improving performance. This study identified shared changes in metabolomic profiles across three distinct military training exercises, varying in magnitude and type of stress. Blood samples collected before and after three real or simulated military training exercises were analyzed using the same untargeted metabolomic profiling platform. Exercises included a 2-wk survival training course (ST, n = 36), a 4-day cross-country ski march arctic training (AT, n = 24), and a 28-day controlled diet- and exercise-induced energy deficit (CED, n = 26). Log2-fold changes of greater than ±1 in 191, 121, and 64 metabolites were identified in the ST, AT, and CED datasets, respectively. Most metabolite changes were within the lipid (57-63%) and amino acid metabolism (18-19%) pathways and changes in 87 were shared across studies. The largest and most consistent increases in shared metabolites were found in the acylcarnitine, fatty acid, ketone, and glutathione metabolism pathways, whereas the largest decreases were in the diacylglycerol and urea cycle metabolism pathways. Multiple shared metabolites were consistently correlated with biomarkers of inflammation, tissue damage, and anabolic hormones across studies. These three studies of real and simulated military training revealed overlapping alterations in metabolomic profiles despite differences in environment and the stressors involved. Consistent changes in metabolites related to lipid metabolism, ketogenesis, and oxidative stress suggest a potential common metabolomic signature associated with inflammation, tissue damage, and suppression of anabolic signaling that may characterize the unique physiological demands of military training.NEW & NOTEWORTHY The extent to which metabolomic responses are shared across diverse military training environments is unknown. Global metabolomic profiling across three distinct military training exercises identified shared metabolic responses with the largest changes observed for metabolites related to fatty acids, acylcarnitines, ketone metabolism, and oxidative stress. These changes also correlated with alterations in markers of tissue damage, inflammation, and anabolic signaling and comprise a potential common metabolomic signature underlying the unique physiological demands of military training.

循环代谢组图谱的比较分析发现了不同的多胁迫军事训练行动中的共同代谢变化。
军事训练能让人深入了解在独特生理需求下的代谢反应,可以通过全面的代谢组学分析来确定提高成绩的潜在策略。本研究确定了三种不同军事训练中代谢组学特征的共同变化,这些变化的程度和压力类型各不相同。在三次真实或模拟军事训练前后采集的血液样本使用相同的非靶向代谢组学分析平台进行了分析。训练包括为期三周的生存学校课程(ST,人数=36)、为期四天的北极越野滑雪行军(AT,人数=24)和为期 28 天的控制饮食和运动引起的能量不足(CED,人数=26)。在 ST、AT 和 CED 数据集中,分别发现 191、121 和 64 个代谢物的对数 2 倍变化>±1。大多数代谢物的变化发生在脂质(57-63%)和氨基酸代谢(18-19%)途径中,87种代谢物的变化在不同研究中是共享的。共用代谢物增加最多、最一致的是酰基肉碱、脂肪酸、酮和谷胱甘肽代谢途径,而减少最多的是二酰甘油和尿素循环代谢途径。在各项研究中,多种共有代谢物与炎症、组织损伤和合成代谢激素的生物标志物始终相关。这三项关于真实和模拟军事训练的研究表明,尽管环境和所涉及的应激源不同,但代谢组学特征的改变是重叠的。与脂质代谢、酮生成和氧化应激相关的代谢物的一致变化表明,与炎症、组织损伤和合成代谢信号抑制相关的代谢组特征可能是军事训练的独特生理需求的特征。
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
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
期刊介绍: The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.
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