Alanny Cristine dos Santos Pinheiro, Grace Barros de Sá, Roberta Verissimo França de Oliveira, Cristiane Matsuura, Eliete Bouskela, Paulo Farinatti, Gilson Costa dos Santos Junior
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We hypothesized that combat pilots have metabolic flexibility associated with combat flight time.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>We evaluated for the first time 34 Brazilian fighter pilots from Santa Cruz Air Base (Rio de Janeiro, RJ) allocated into three groups: pilots with lower total accumulated flight experience < 1,100 h (PC1, n = 7); pilots with higher total accumulated flight experience ≥ 1,100 h (PC2, n = 6); military non-pilots (CONT, n = 21). Data collection included anthropometric measurements, total blood count, lipidogram, markers of oxidative stress, and serum NMR-based metabolomics.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>In comparison with controls (<i>p</i> < 0.05), pilots exhibited decreased levels of white blood cells (−13%), neutrophils (−15%), lymphocytes (−20%), alfa-glucose (−13%), lactate (−26%), glutamine (−11%), histidine (−20%), and tyrosine (−11%), but higher isobutyrate (+ 10%) concentrations. 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引用次数: 0
摘要
引言战斗机飞行员必须承受许多压力因素的影响,包括体力和心理消耗、昼夜节律紊乱、时差和环境压力。我们通过基于核磁共振的代谢组学比较了具有不同飞行经历的巴西 F5 战斗机飞行员与非飞行员对照组的代谢特征。方法我们首次对来自圣克鲁斯空军基地(里约热内卢,RJ)的 34 名巴西战斗机飞行员进行了评估,他们被分为三组:总累积飞行时间较少 < 1,100 h 的飞行员(PC1,n = 7);总累积飞行时间≥ 1,100 h 的飞行员(PC2,n = 6);非飞行员(CONT,n = 21)。数据收集包括人体测量、总血细胞计数、血脂图、氧化应激标记物和基于核磁共振的血清代谢组学。05),飞行员的白细胞(-13%)、中性粒细胞(-15%)、淋巴细胞(-20%)、α-葡萄糖(-13%)、乳酸(-26%)、谷氨酰胺(-11%)、组氨酸(-20%)和酪氨酸(-11%)水平均有所下降,但异丁烯酸(+ 10%)浓度较高。结论与对照组相比,飞行经验较少的战斗机飞行员的免疫代谢功能出现失调,而飞行时间的积累似乎可以抵消这种失调。这些发现可能会对战斗机飞行员的健康保护和操作训练产生影响。
Metabolic flexibility associated with flight time among combat pilots of the Brazilian air force
Introduction
Fighter pilots must support the effects of many stressors, including physical and psychological exertion, circadian disturbance, jet lag, and environmental stress. Despite the rigorous selection of military pilots, those factors predispose to failures in physiological compensatory mechanisms and metabolic flexibility.
Objectives
We compared through NMR-based metabolomics the metabolic profile of Brazilian F5 fighter pilots with different flight experiences vs. the control group of non-pilots. We hypothesized that combat pilots have metabolic flexibility associated with combat flight time.
Methods
We evaluated for the first time 34 Brazilian fighter pilots from Santa Cruz Air Base (Rio de Janeiro, RJ) allocated into three groups: pilots with lower total accumulated flight experience < 1,100 h (PC1, n = 7); pilots with higher total accumulated flight experience ≥ 1,100 h (PC2, n = 6); military non-pilots (CONT, n = 21). Data collection included anthropometric measurements, total blood count, lipidogram, markers of oxidative stress, and serum NMR-based metabolomics.
Results
In comparison with controls (p < 0.05), pilots exhibited decreased levels of white blood cells (−13%), neutrophils (−15%), lymphocytes (−20%), alfa-glucose (−13%), lactate (−26%), glutamine (−11%), histidine (−20%), and tyrosine (−11%), but higher isobutyrate (+ 10%) concentrations. Significant correlations were found between lactate vs. amino acids in CONT (r = 0.55–0.68, p < 0.001), and vs. glutamine in PC2 (r = 0.94, p = 0.01).
Conclusion
Fighter pilots with lower experience showed a dysregulation in immune-metabolic function in comparison with controls, which seemed to be counteracted by the accumulation of flight hours. Those findings might have implications for the health preservation and operational training of fighter pilots.
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.