Physical Activity and Dietary Composition Relate to Differences in Gut Microbial Patterns in a Multi-Ethnic Cohort-The HELIUS Study

Overview

Journal Metabolites

Publisher MDPI

Date 2021 Dec 23

PMID 34940616

Citations 6

Authors

Veera Houttu

Ulrika Boulund

Mary Nicolaou

Adriaan Georgius Holleboom

Aldo Grefhorst

Henrike Galenkamp

Bert-Jan van den Born

Koos Zwinderman

Max Nieuwdorp

Affiliations

Soon will be listed here.

Abstract

Physical activity (PA) at recommended levels contributes to the prevention of non-communicable diseases, such as atherosclerotic cardiovascular disease (asCVD) and type 2 diabetes mellitus (T2DM). Since the composition of the gut microbiota is strongly intertwined with dietary intake, the specific effect of exercise on the gut microbiota is not known. Moreover, multiple other factors, such as ethnicity, influence the composition of the gut microbiota, and this may be derived by distinct diet as well as PA patterns. Here we aim to untangle the associations between PA and the gut microbiota in a sample ( = 1334) from the Healthy Life In an Urban Setting (HELIUS) multi-ethnic cohort. The associations of different food groups and gut microbiota were also analyzed. PA was monitored using subjective ( = 1309) and objective ( = 162) methods, and dietary intake was assessed with ethnic-specific food frequency questionnaire (FFQ). The gut microbiota was profiled using 16S rRNA gene amplicon sequencing, and the functional composition was generated with the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt2). Associations were assessed using multivariable and machine learning models. In this cohort, a distinct gut microbiota composition was associated with meeting the Dutch PA norm as well as with dietary intake, e.g., grains. PA related parameters such as muscle strength and calf circumference correlated with gut microbiota diversity. Furthermore, gut microbial functionality differed between active and sedentary groups. Differential representation of ethnicities in active and sedentary groups in both monitor methods hampered the detection of ethnic-specific effects. In conclusion, both PA and dietary intake were associated with gut microbiota composition in our multi-ethnic cohort. Future studies should further elucidate the role of ethnicity and diet in this association.

Citing Articles

Gut dysbiosis mediates the association between antibiotic exposure and chronic disease.

Guarner F, Bustos Fernandez L, Cruchet S, Damiao A, Maruy Saito A, Riveros Lopez J Front Med (Lausanne). 2024; 11:1477882.

PMID: 39568738 PMC: 11576192. DOI: 10.3389/fmed.2024.1477882.

Physical Exercise and the Gut Microbiome: A Bidirectional Relationship Influencing Health and Performance.

Varghese S, Rao S, Khattak A, Zamir F, Chaari A Nutrients. 2024; 16(21).

PMID: 39519496 PMC: 11547208. DOI: 10.3390/nu16213663.

Physical Therapy for Knee Pain Relief Induces Changes in Gut Microbiome Composition: A Secondary Analysis of Data From a Randomized Controlled Trial.

Kouraki A, Vijay A, Gohir S, Millar B, Kelly A, Valdes A Sports Health. 2024; :19417381241283812.

PMID: 39370648 PMC: 11556638. DOI: 10.1177/19417381241283812.

Associations between gut microbiota and sarcopenia or its defining parameters in older adults: A systematic review.

Lapauw L, Rutten A, Dupont J, Amini N, Vercauteren L, Derrien M J Cachexia Sarcopenia Muscle. 2024; 15(6):2190-2207.

PMID: 39192550 PMC: 11634501. DOI: 10.1002/jcsm.13569.

Association between Gut Microbiota and Muscle Strength in Japanese General Population of the Iwaki Health Promotion Project.

Sugimura Y, Yang Y, Kanda A, Mawatari A, Tamada Y, Mikami T Microorganisms. 2024; 12(3).

PMID: 38543673 PMC: 10974293. DOI: 10.3390/microorganisms12030622.

References

Alley S, Schoeppe S, Rebar A, Hayman M, Vandelanotte C . Age differences in physical activity intentions and implementation intention preferences. J Behav Med. 2017; 41(3):406-415. DOI: 10.1007/s10865-017-9899-y. View

Beukers M, Dekker L, de Boer E, Perenboom C, Meijboom S, Nicolaou M . Development of the HELIUS food frequency questionnaires: ethnic-specific questionnaires to assess the diet of a multiethnic population in The Netherlands. Eur J Clin Nutr. 2014; 69(5):579-84. DOI: 10.1038/ejcn.2014.180. View

Ekelund U, Tarp J, Steene-Johannessen J, Hansen B, Jefferis B, Fagerland M . Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: systematic review and harmonised meta-analysis. BMJ. 2019; 366:l4570. PMC: 6699591. DOI: 10.1136/bmj.l4570. View

David L, Maurice C, Carmody R, Gootenberg D, Button J, Wolfe B . Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2013; 505(7484):559-63. PMC: 3957428. DOI: 10.1038/nature12820. View

Edgar R . Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010; 26(19):2460-1. DOI: 10.1093/bioinformatics/btq461. View

Aya V, Florez A, Perez L, Ramirez J . Association between physical activity and changes in intestinal microbiota composition: A systematic review. PLoS One. 2021; 16(2):e0247039. PMC: 7906424. DOI: 10.1371/journal.pone.0247039. View

Backhed F, Roswall J, Peng Y, Feng Q, Jia H, Kovatcheva-Datchary P . Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life. Cell Host Microbe. 2015; 17(6):852. DOI: 10.1016/j.chom.2015.05.012. View

Lozupone C, Knight R . UniFrac: a new phylogenetic method for comparing microbial communities. Appl Environ Microbiol. 2005; 71(12):8228-35. PMC: 1317376. DOI: 10.1128/AEM.71.12.8228-8235.2005. View

Brage S, Brage N, Franks P, Ekelund U, Wareham N . Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr. 2005; 59(4):561-70. DOI: 10.1038/sj.ejcn.1602118. View

10.

Newland G, Gibson G, Jackson F, Wijeyesekera A . Assessment of stool collection and storage conditions for in vitro human gut model studies. J Microbiol Methods. 2021; 185:106230. DOI: 10.1016/j.mimet.2021.106230. View

11.

Bui T, Manneras-Holm L, Puschmann R, Wu H, Troise A, Nijsse B . Conversion of dietary inositol into propionate and acetate by commensal Anaerostipes associates with host health. Nat Commun. 2021; 12(1):4798. PMC: 8355322. DOI: 10.1038/s41467-021-25081-w. View

12.

Nicolaou M, Gademan M, Snijder M, Engelbert R, Dijkshoorn H, Terwee C . Validation of the SQUASH Physical Activity Questionnaire in a Multi-Ethnic Population: The HELIUS Study. PLoS One. 2016; 11(8):e0161066. PMC: 5004804. DOI: 10.1371/journal.pone.0161066. View

13.

Deschasaux M, Bouter K, Prodan A, Levin E, Groen A, Herrema H . Depicting the composition of gut microbiota in a population with varied ethnic origins but shared geography. Nat Med. 2018; 24(10):1526-1531. DOI: 10.1038/s41591-018-0160-1. View

14.

Johnson A, Vangay P, Al-Ghalith G, Hillmann B, Ward T, Shields-Cutler R . Daily Sampling Reveals Personalized Diet-Microbiome Associations in Humans. Cell Host Microbe. 2019; 25(6):789-802.e5. DOI: 10.1016/j.chom.2019.05.005. View

15.

Grosicki G, Durk R, Bagley J . Rapid gut microbiome changes in a world-class ultramarathon runner. Physiol Rep. 2019; 7(24):e14313. PMC: 6928244. DOI: 10.14814/phy2.14313. View

16.

Weng C, Tien C, Li C, Lheureux A, Liu C, Lin C . Mid-upper arm circumference, calf circumference and mortality in Chinese long-term care facility residents: a prospective cohort study. BMJ Open. 2018; 8(5):e020485. PMC: 5942455. DOI: 10.1136/bmjopen-2017-020485. View

17.

Laudadio I, Fulci V, Palone F, Stronati L, Cucchiara S, Carissimi C . Quantitative Assessment of Shotgun Metagenomics and 16S rDNA Amplicon Sequencing in the Study of Human Gut Microbiome. OMICS. 2018; 22(4):248-254. DOI: 10.1089/omi.2018.0013. View

18.

Wilmot E, Edwardson C, Achana F, Davies M, Gorely T, Gray L . Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012; 55(11):2895-905. DOI: 10.1007/s00125-012-2677-z. View

19.

Deehan E, Yang C, Perez-Munoz M, Nguyen N, Cheng C, Triador L . Precision Microbiome Modulation with Discrete Dietary Fiber Structures Directs Short-Chain Fatty Acid Production. Cell Host Microbe. 2020; 27(3):389-404.e6. DOI: 10.1016/j.chom.2020.01.006. View

20.

Katoh K, Misawa K, Kuma K, Miyata T . MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 2002; 30(14):3059-66. PMC: 135756. DOI: 10.1093/nar/gkf436. View