Myhrstad Mari C W, Ruud Emilia, Gaundal Line, Gjøvaag Terje, Rud Ida, Retterstøl Kjetil, Ulven Stine M, Holven Kirsten B, Koehler Karsten, Telle-Hansen Vibeke H
Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
Nofima-Norwegian Institute of Food, Fisheries and Aquaculture Research, Ås, Norway.
Front Nutr. 2024 Nov 28;11:1438876. doi: 10.3389/fnut.2024.1438876. eCollection 2024.
The global prevalence of the metabolic disease Type 2 Diabetes (T2D) is increasing. Risk factors contributing to the development of T2D include overweight and obesity, lack of physical activity (PA), and an unhealthy diet. In addition, the gut microbiota has been shown to affect metabolic regulation. Since T2D is preventable, efforts should be put into the discovery of new biomarkers for early detection of individuals at risk of developing the disease.
The objective of the cross-sectional study was to explore the relationship between gut microbiota and physical activity (PA) and/or metabolic markers such as selected amino acids (AA), markers of glycaemic regulation and lipid metabolism and anthropometric measures.
Healthy adults (18 and 65 years) with BMI between 18.5 and 27.5 kg/m2 originally recruited to a randomised controlled trial (RCT) ( = 17: six males, eleven females), were included in this exploratory cross-sectional study. Physical activity data was calculated based on a 3-days registration, and blood metabolome, gut microbiota analyses and anthropometric measures from one visit of the intervention were used in this cross-sectional study.
Of the 47 gut bacteria analysed, there were a total of 87 significant correlations with AA, PA, body composition and/or metabolic markers. Several of the gut bacteria correlated with both PA, metabolic or anthropometric markers.
In this study, we demonstrate associations between gut bacteria and PA and/or metabolic markers including AA in healthy individuals. The results may guide future studies aiming at identifying new and early biomarkers of metabolic health and diseases.
代谢性疾病2型糖尿病(T2D)的全球患病率正在上升。导致T2D发生的风险因素包括超重和肥胖、缺乏身体活动(PA)以及不健康饮食。此外,肠道微生物群已被证明会影响代谢调节。由于T2D是可预防的,应努力发现新的生物标志物,以便早期检测有患该疾病风险的个体。
这项横断面研究的目的是探讨肠道微生物群与身体活动(PA)和/或代谢标志物之间的关系,这些代谢标志物如选定的氨基酸(AA)、血糖调节和脂质代谢标志物以及人体测量指标。
最初招募到一项随机对照试验(RCT)中的健康成年人(18至65岁),BMI在18.5至27.5kg/m²之间(n = 17:6名男性,11名女性),被纳入这项探索性横断面研究。身体活动数据基于3天的记录计算得出,本横断面研究使用了干预一次就诊时的血液代谢组、肠道微生物群分析和人体测量指标。
在分析的47种肠道细菌中,与AA、PA、身体成分和/或代谢标志物共有87个显著相关性。几种肠道细菌与PA、代谢或人体测量标志物均相关。
在本研究中,我们证明了健康个体中肠道细菌与PA和/或包括AA在内的代谢标志物之间的关联。这些结果可能为未来旨在识别代谢健康和疾病新的早期生物标志物的研究提供指导。