Gut microbiota and metabolic responses to a 12-week caloric restriction combined with strength and HIIT training in patients with obesity: a randomized trial.

IF 2.1 3区 医学 Q1 REHABILITATION
Libuša Nechalová, Viktor Bielik, Ivan Hric, Miriam Babicová, Eva Baranovičová, Marián Grendár, Juraj Koška, Adela Penesová
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引用次数: 0

Abstract

Background: Nowadays, obesity has become a major health issue. In addition to negatively affecting body composition and metabolic health, recent evidence shows unfavorable shifts in gut microbiota in individuals with obesity. However, the effects of weight loss on gut microbes and metabolites remain controversial. Therefore, the purpose of this study was to investigate the effects of a 12-week program on gut microbiota and metabolic health in patients with obesity.

Methods: We conducted a controlled trial in 23 male and female patients with obesity. Twelve participants completed a 12-week program of caloric restriction combined with strength and HIIT training (INT, pre-BMI 37.33 ± 6.57 kg/m2), and eleven participants were designated as non-intervention controls (pre-BMI 38.65 ± 8.07 kg/m2). Metagenomic sequencing of the V3-V4 region of the 16S rDNA gene from fecal samples allowed for gut microbiota classification. Nuclear magnetic resonance spectroscopy characterized selected serum and fecal metabolite concentrations.

Results: Within INT, we observed a significant improvement in body composition; a significant decrease in liver enzymes (AST, ALT, and GMT); a significant increase in the relative abundance of the commensal bacteria (e.g., Akkermansia muciniphila, Parabacteroides merdae, and Phocaeicola vulgatus); and a significant decrease in the relative abundance of SCFA-producing bacteria (e.g., the genera Butyrivibrio, Coprococcus, and Blautia). In addition, significant correlations were found between gut microbes, body composition, metabolic health biomarkers, and SCFAs. Notably, the Random Forest Machine Learning analysis identified predictors (Butyrivibrio fibrisolvens, Blautia caecimuris, Coprococcus comes, and waist circumference) with a moderate ability to discriminate between INT subjects pre- and post-intervention.

Conclusions: Our results indicate that a 12-week caloric restriction combined with strength and HIIT training positively influences body composition, metabolic health biomarkers, gut microbiota, and microbial metabolites, demonstrating significant correlations among these variables. We observed a significant increase in the relative abundance of bacteria linked to obesity, e.g., Akkermansia muciniphila. Additionally, our study contributes to the ongoing debate about the role of SCFAs in obesity, as we observed a significant decrease in SCFA producers after a 12-week program.

Trial registration: The trial was registered on [05/12/2014] with ClinicalTrials.gov (No: NCT02325804).

肥胖患者12周热量限制结合力量和HIIT训练的肠道微生物群和代谢反应:一项随机试验
背景:如今,肥胖已经成为一个主要的健康问题。除了对身体组成和代谢健康产生负面影响外,最近的证据表明,肥胖个体的肠道微生物群发生了不利的变化。然而,减肥对肠道微生物和代谢物的影响仍然存在争议。因此,本研究的目的是研究为期12周的计划对肥胖患者肠道微生物群和代谢健康的影响。方法:对23例男性和女性肥胖患者进行对照试验。12名参与者完成了为期12周的热量限制计划,结合力量和HIIT训练(INT, bmi前37.33±6.57 kg/m2), 11名参与者被指定为非干预对照组(bmi前38.65±8.07 kg/m2)。对粪便样本中16S rDNA基因的V3-V4区域进行宏基因组测序,以便对肠道微生物群进行分类。核磁共振光谱表征了选定的血清和粪便代谢物浓度。结果:在INT内,我们观察到身体成分的显著改善;肝酶(AST、ALT和GMT)显著降低;共生细菌的相对丰度显著增加(例如,嗜粘杆菌、拟杆菌和普通Phocaeicola vulgatus);以及产生scfa的细菌(例如,丁酸弧菌属、粪球菌属和蓝球菌属)的相对丰度显著降低。此外,还发现肠道微生物、身体组成、代谢健康生物标志物和scfa之间存在显著相关性。值得注意的是,随机森林机器学习分析确定了预测因子(溶纤维丁酸弧菌、蓝芽胞杆菌、粪球菌和腰围),它们具有中等能力区分干预前后的INT受试者。结论:我们的研究结果表明,12周的热量限制结合力量和HIIT训练对身体组成、代谢健康生物标志物、肠道微生物群和微生物代谢物有积极影响,表明这些变量之间存在显著相关性。我们观察到与肥胖相关的细菌的相对丰度显著增加,例如嗜粘杆菌。此外,我们的研究有助于目前关于SCFA在肥胖中的作用的争论,因为我们观察到在12周的计划后SCFA产生显著减少。试验注册:该试验已于[05/12/2014]在ClinicalTrials.gov注册(编号:NCT02325804)。
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
BMC Sports Science Medicine and Rehabilitation
BMC Sports Science Medicine and Rehabilitation Medicine-Orthopedics and Sports Medicine
CiteScore
3.00
自引率
5.30%
发文量
196
审稿时长
26 weeks
期刊介绍: BMC Sports Science, Medicine and Rehabilitation is an open access, peer reviewed journal that considers articles on all aspects of sports medicine and the exercise sciences, including rehabilitation, traumatology, cardiology, physiology, and nutrition.
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