Changes in the urinary metabolome accompanied alterations in body mass and composition in women with overweight – impact of high versus low protein breakfast

Author:

Correia Banny Silva Barbosa,Dalgaard Line Barner,Thams Line,Hansen Mette,Bertram Hanne Christine

Abstract

Abstract Introduction Understanding why subjects with overweight and with obesity vary in their response to dietary interventions is of major interest for developing personalized strategies for body mass regulation. Objectives The aim of this study was to investigate the relationship between changes in the urine metabolome and body mass during a breakfast meal intervention. Furthermore, we aimed to elucidate if the baseline urine metabolome could predict the response to the two types of breakfast meals (high versus low protein) during the intervention. Methods A total of 75 young, women with overweight were randomly allocated to one of two intervention groups: (1) High-protein (HP) or (2) low-protein (LP) breakfast as part of their habitual diet during a 12-week intervention. Beside the breakfast meal, participants were instructed to eat their habitual diet and maintain their habitual physical activity level. Nuclear magnetic resonance-based metabolomics was conducted on urine samples collected at baseline (wk 0), mid-intervention (wk 6), and at endpoint (wk 12). At baseline and endpoint, body mass was measured and DXA was used to measure lean body mass and fat mass. Results The baseline urine metabolite profile showed a slightly higher correlation (R2 = 0.56) to body mass in comparison with lean body mass (R2 = 0.51) and fat mass (R2 = 0.53). Baseline 24-h urinary excretion of trigonelline (p = 0.04), N, N-dimethylglycine (p = 0.02), and trimethylamine (p = 0.03) were significantly higher in individuals who responded with a reduction in body mass to the HP breakfast. Conclusions Differences in the urine metabolome were seen for women that obtained a body weight loss in the response to the HP breakfast intervention and women who did not obtain a body weight loss, indicating that the urine metabolome contains information about the metabolic phenotype that influences the responsiveness to dietary interventions.

Funder

Aarhus Universitet

Publisher

Springer Science and Business Media LLC

Reference22 articles.

1. Bouatra, S., Aziat, F., Mandal, R., Guo, A. C., Wilson, M. R., Knox, C., Bjorndahl, T. C., Krishnamurthy, R., Saleem, F., Liu, P., Dame, Z. T., Poelzer, J., Huynh, J., Yallou, F. S., Psychogios, N., Dong, E., Bogumil, R., Roehring, C., & Wishart, D. S. (2013). The human urine metabolome. PlosONE, 8(9), e73076. https://doi.org/10.1371/journal.pone.0073076.

2. Calvani, R., Miccheli, A., Capuani, G., Miccheli, A. T., Puccetti, C., Delfini, M., Iaconelli, A., Nanni, G., & Mingrone, G. (2010). Gut microbiome-derived metabolites characterize a peculiar obese urinary metabotype. International Journal of Obesity, 34, 1095–1098. https://doi.org/10.1038/ijo.2010.44.

3. Dalgaard, L. B., Kruse, D. Z., Norup, K., Andersen, B. V., & Hansen, M. (2023). A dairy-based protein-rich breakfast enhances satiety and cognitive concentration before lunch in young females with overweight to obesity: A randomized controlled cross-over study. Journal of Dairy Science, In Press, Journal Pre-proof. https://doi.org/10.3168/jds.2023-24152.

4. Dambrova, M., Latkovskis, G., Kuka, J., Strele, I., Konrade, I., Grinberga, S., Hartmane, D., Pugovics, O., Erglis, A., & Liepinsh, E. (2016). Diabetes is Associated with higher trimethylamine N-oxide plasma levels. Experimental and Clinical Endocrinology & Diabetes, 124(4), 251–256. https://doi.org/10.1055/s-0035-1569330.

5. Friedrich, N., Budde, K., Suhre, K., Völker, U., John, U., Felix, S. B., Kroemer, H. K., Grabe, H. J., Völzke, H., Nauck, M., & Wallaschofski, H. (2015). Sex differences in urine metabolites related with risk of diabetes using NMR spectroscopy: Results of the study of health in pomerania. Metabolomics, 11, 1405–1415. https://doi.org/10.1007/s11306-015-0795-6.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3