The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
High-fat maternal diet during pregnancy persistently alters the offspring microbiome in a primate model
Open accessAbstract
The intestinal microbiome is a unique ecosystem and an essential mediator of metabolism and obesity in mammals. However, studies investigating the impact of the diet on the establishment of the gut microbiome early in life are generally lacking, and most notably so in primate models. Here we report that a high-fat maternal or postnatal diet, but not obesity per se, structures the offspring’s intestinal microbiome in Macaca fuscata (Japanese macaque). The resultant microbial dysbiosis is only partially corrected by a low-fat, control diet after weaning. Unexpectedly, early exposure to a high-fat diet diminished the abundance of non-pathogenic Campylobacter in the juvenile gut, suggesting a potential role for dietary fat in shaping commensal microbial communities in primates. Our data challenge the concept of an obesity-causing gut microbiome and rather provide evidence for a contribution of the maternal diet in establishing the microbiota, which in turn affects intestinal maintenance of metabolic health. The influence of diet on the establishment of gut microbiota early in life is poorly understood. Here the authors show, in a primate model, that maternal diet during pregnancy affects the offspring’s microbiome, and that dietary intervention after weaning only partially reverses this effect.
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QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 19,885
Metagenomic biomarker discovery and explanation
Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011) · Genome Biology · doi:10.1186/gb-2011-12-6-r60 · Cited by 16,192
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
Cited by
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You are what you eat: Diet, health and the gut microbiota
Zmora, N., Suez, J., & Elinav, E. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0061-2 · Cited by 1,792
Microbial reconstitution reverses maternal diet-induced social and synaptic deficits in offspring
Buffington, S. A., Di Prisco, G. V., Auchtung, T. A., Ajami, N. J., Petrosino, J. F., & Costa-Mattioli, M. (2016) · Cell · doi:10.1016/j.cell.2016.06.001 · Cited by 1,163
From gut dysbiosis to altered brain function and mental illness: mechanisms and pathways
Rogers, G. B., Keating, D. J., Young, R. L., Wong, M.-L., Licinio, J., & Wesselingh, S. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.50 · Cited by 969
The impact of the gut microbiota on the reproductive and metabolic endocrine system
Qi, X., Yun, C., Pang, Y., & Qiao, J. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1894070 · Cited by 554
Metadata
- Authors
- Ma, J., Prince, A. L., Bader, D., Hu, M., Ganu, R., Baquero, K., Blundell, P., Alan Harris, R., Frias, A. E., Grove, K. L., & Aagaard, K. M.
- Venue
- Nature Communications
- Published
- 2014-05-20
- Volume
- 5
- Issue
- 1
- Pages
- 3889-3889
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2081313422
- Cited by
- 438
- References
- 62
- FWCI
- 13.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ma, J., Prince, A. L., Bader, D., Hu, M., Ganu, R., Baquero, K., Blundell, P., Alan Harris, R., Frias, A. E., Grove, K. L., & Aagaard, K. M. (2014). High-fat maternal diet during pregnancy persistently alters the offspring microbiome in a primate model. Nature Communications. https://doi.org/10.1038/ncomms4889
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