Nechalová Libuša, Bielik Viktor, Hric Ivan, Babicová Miriam, Baranovičová Eva, Grendár Marián, Koška Juraj, Penesová Adela
Department of Biological and Medical Science, Faculty of Physical Education and Sport, Comenius University in Bratislava, Bratislava, 814 69, Slovakia.
Biomedical Center, Institute of Clinical and Translational Research, Slovak Academy of Sciences, Bratislava, 845 05, Slovakia.
BMC Sports Sci Med Rehabil. 2024 Dec 5;16(1):239. doi: 10.1186/s13102-024-01029-7.
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.
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/m), and eleven participants were designated as non-intervention controls (pre-BMI 38.65 ± 8.07 kg/m). 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.
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.
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.
The trial was registered on [05/12/2014] with ClinicalTrials.gov (No: NCT02325804).
如今,肥胖已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,最近有证据表明肥胖个体的肠道微生物群发生了不利变化。然而,体重减轻对肠道微生物和代谢产物的影响仍存在争议。因此,本研究的目的是调查一项为期12周的计划对肥胖患者肠道微生物群和代谢健康的影响。
我们对23名肥胖男性和女性患者进行了一项对照试验。12名参与者完成了为期12周的热量限制计划,并结合力量训练和高强度间歇训练(INT组,干预前体重指数为37.33±6.57kg/m²),11名参与者被指定为非干预对照组(干预前体重指数为38.65±8.07kg/m²)。通过对粪便样本中16S rDNA基因的V3-V4区域进行宏基因组测序来对肠道微生物群进行分类。利用核磁共振波谱法对选定的血清和粪便代谢产物浓度进行表征。
在INT组中,我们观察到身体组成有显著改善;肝酶(AST、ALT和GMT)显著降低;共生细菌(如嗜黏蛋白阿克曼氏菌、屎拟杆菌和普通拟杆菌)的相对丰度显著增加;产生短链脂肪酸的细菌(如丁酸弧菌属、粪球菌属和布劳特氏菌属)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短链脂肪酸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具有中等区分能力的预测因子(溶纤维丁酸弧菌、盲肠布劳特氏菌、科氏粪球菌和腰围),可用于区分INT组干预前后的受试者。
我们的结果表明,为期12周的热量限制结合力量训练和高强度间歇训练对身体组成、代谢健康生物标志物、肠道微生物群和微生物代谢产物有积极影响,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(如嗜黏蛋白阿克曼氏菌)的相对丰度显著增加。此外,我们的研究为正在进行的关于短链脂肪酸在肥胖中的作用的争论做出了贡献,因为我们观察到在为期12周的计划后,产生短链脂肪酸的细菌显著减少。
该试验于[2014年12月5日]在ClinicalTrials.gov上注册(编号:NCT02325804)。