The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Composition and energy harvesting capacity of the gut microbiota: relationship to diet, obesity and time in mouse models
Abstract
Background and Aims: Increased efficiency of energy harvest, due to alterations in the gut microbiota (increased Firmicutes and decreased Bacteroidetes), has been implicated in obesity in mice and humans. However, a causal relationship is unproven and contributory variables include diet, genetics and age. Therefore, we explored the effect of a high-fat (HF) diet and genetically determined obesity (ob/ob) for changes in microbiota and energy harvesting capacity over time. Methods: Seven-week-old male ob/ob mice were fed a low-fat diet and wild-type mice were fed either a low-fat diet or a HF-diet for 8 weeks (n=8/group). They were assessed at 7, 11 and 15 weeks of age for: fat and lean body mass (by NMR); faecal and caecal short-chain fatty acids (SCFA, by gas chromatography); faecal energy content (by bomb calorimetry) and microbial composition (by metagenomic pyrosequencing). Results: A progressive increase in Firmicutes was confirmed in both HF-fed and ob/ob mice reaching statistical significance in the former, but this phylum was unchanged over time in the lean controls. Reductions in Bacteroidetes were also found in ob/ob mice. However, changes in the microbiota were dissociated from markers of energy harvest. Thus, although the faecal energy in the ob/ob mice was significantly decreased at 7 weeks, and caecal SCFA increased, these did not persist and faecal acetate diminished over time in both ob/ob and HF-fed mice, but not in lean controls. Furthermore, the proportion of the major phyla did not correlate with energy harvest markers. Conclusion: The relationship between the microbial composition and energy harvesting capacity is more complex than previously considered. While compositional changes in the faecal microbiota were confirmed, this was primarily a feature of high-fat feeding rather than genetically induced obesity. In addition, changes in the proportions of the major phyla were unrelated to markers of energy harvest which changed over time. The possibility of microbial adaptation to diet and time should be considered in future studies.
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Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
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
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
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
The gut microbiota as an environmental factor that regulates fat storage
Bäckhed, F., Ding, H., Wang, T., Hooper, L. V., Koh, G. Y., Nagy, A., Semenkovich, C. F., & Gordon, J. I. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407076101 · Cited by 6,245
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
Cani, P. D., Bibiloni, R., Knauf, C., Waget, A., Neyrinck, A. M., Delzenne, N. M., & Burcelin, R. (2008) · Diabetes · doi:10.2337/db07-1403 · Cited by 4,819
Development of the Human Infant Intestinal Microbiota
Palmer, C., Bik, E. M., DiGiulio, D. B., Relman, D. A., & Brown, P. O. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050177 · Cited by 2,877
Mechanisms underlying the resistance to diet-induced obesity in germ-free mice
Bäckhed, F., Manchester, J. K., Semenkovich, C. F., & Gordon, J. I. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605374104 · Cited by 2,615
Microbiota and SCFA in lean and overweight healthy subjects
Schwiertz, A., Taras, D., Schäfer, K., Beijer, S., Bos, N. A., Donus, C., & Hardt, P. D. (2010) · Obesity · doi:10.1038/oby.2009.167 · Cited by 2,457
Metabolic Syndrome and Altered Gut Microbiota in Mice Lacking Toll-Like Receptor 5
Vijay-Kumar, M., Aitken, J. D., Carvalho, F. A., Cullender, T. C., Mwangi, S., Srinivasan, S., Sitaraman, S. V., Knight, R., Ley, R. E., & Gewirtz, A. T. (2010) · Science · doi:10.1126/science.1179721 · Cited by 2,068
Human gut microbiota in obesity and after gastric bypass
Zhang, H., DiBaise, J. K., Zuccolo, A., Kudrna, D., Braidotti, M., Yu, Y., Parameswaran, P., Crowell, M. D., Wing, R., Rittmann, B. E., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812600106 · Cited by 1,880
The Firmicutes/Bacteroidetes ratio of the human microbiota changes with age
Mariat, D., Firmesse, O., Levenez, F., Guimarăes, V., Sokol, H., Doré, J., Corthier, G., & Furet, J.-P. (2009) · BMC Microbiology · doi:10.1186/1471-2180-9-123 · Cited by 1,755
High-Fat Diet Determines the Composition of the Murine Gut Microbiome Independently of Obesity
Hildebrandt, M. A., Hoffmann, C., Sherrill–Mix, S. A., Keilbaugh, S. A., Hamady, M., Chen, Y., Knight, R., Ahima, R. S., Bushman, F., & Wu, G. D. (2009) · Gastroenterology · doi:10.1053/j.gastro.2009.08.042 · Cited by 1,576
Samuel, B. S., Shaito, A., Motoike, T., Rey, F. E., Backhed, F., Manchester, J. K., Hammer, R. E., Williams, S. C., Crowley, J., Yanagisawa, M., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808567105 · Cited by 1,564
Dumas, M.-E., Barton, R. H., Toye, A., Cloarec, O., Blancher, C., Rothwell, A., Fearnside, J., Tatoud, R., Blanc, V., Lindon, J. C., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601056103 · Cited by 1,042
Comparative metagenomics revealed commonly enriched gene sets in human gut microbiomes
Kurokawa, K., Itoh, T., Kuwahara, T., Oshima, K., Toh, H., Toyoda, A., Takami, H., Morita, H., Sharma, V. K., Srivastava, T. P., et al. (2007) · DNA Research · doi:10.1093/dnares/dsm018 · Cited by 869
Hopkins, M. J., Sharp, R., & Macfarlane, G. T. (2001) · Gut · doi:10.1136/gut.48.2.198 · Cited by 577
Gut microbiota modulation with norfloxacin and ampicillin enhances glucose tolerance in mice
Membrez, M., Blancher, F., Jaquet, M., Bibiloni, R., Cani, P. D., Burcelin, R. G., Corthesy, I., Macé, K., & Chou, C. J. (2008) · The FASEB Journal · doi:10.1096/fj.07-102723 · Cited by 493
Costabile, A., Klinder, A., Fava, F., Napolitano, A., Fogliano, V., Leonard, C., Gibson, G. R., & Tuohy, K. M. (2008) · British Journal of Nutrition · doi:10.1017/s0007114507793923 · Cited by 444 · cited 1×
“SCFA analysis was performed according to previously published methods.”
MethodBajzer, M., & Seeley, R. J. (2006) · Nature · doi:10.1038/4441009a · Cited by 196
Cited by
den Besten, G., van Eunen, K., Groen, A. K., Venema, K., Reijngoud, D.-J., & Bakker, B. M. (2013) · Journal of Lipid Research · doi:10.1194/jlr.r036012 · Cited by 5,048
Short-chain fatty acids in control of body weight and insulin sensitivity
Canfora, E. E., Jocken, J. W., & Blaak, E. E. (2015) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.128 · Cited by 2,298
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
Regulation of inflammation by short chain fatty acids
Vinolo, M. A. R., Rodrigues, H. G., Nachbar, R. T., & Curi, R. (2011) · Nutrients · doi:10.3390/nu3100858 · Cited by 1,724
Antibiotics in early life alter the murine colonic microbiome and adiposity
Cho, I., Yamanishi, S., Cox, L., Methé, B. A., Zavadil, J., Li, K., Gao, Z., Mahana, D., Raju, K., Teitler, I., et al. (2012) · Nature · doi:10.1038/nature11400 · Cited by 1,613
Metadata
- Authors
- Murphy, E. F., Cotter, P. D., Healy, S., Marques, T. M., O'Sullivan, O., Fouhy, F., Clarke, S. F., O'Toole, P. W., Quigley, E. M., Stanton, C., Ross, P. R., O'Doherty, R. M., & Shanahan, F.
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2010-10-06
- Volume
- 59
- Issue
- 12
- Pages
- 1635-1642
- ISSN
- 0017-5749 (ISSN-L)
- 1468-3288
- OpenAlex
- W2111609149
- Cited by
- 946
- References
- 21
- FWCI
- 15.01
- Type
- journal article
- Language
- en
- Open access
- closed
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