Abstract
Antibiotics administered in low doses have been widely used as growth promoters in the agricultural industry since the 1950s, yet the mechanisms for this effect are unclear. Because antimicrobial agents of different classes and varying activity are effective across several vertebrate species, we proposed that such subtherapeutic administration alters the population structure of the gut microbiome as well as its metabolic capabilities. We generated a model of adiposity by giving subtherapeutic antibiotic therapy to young mice and evaluated changes in the composition and capabilities of the gut microbiome. Administration of subtherapeutic antibiotic therapy increased adiposity in young mice and increased hormone levels related to metabolism. We observed substantial taxonomic changes in the microbiome, changes in copies of key genes involved in the metabolism of carbohydrates to short-chain fatty acids, increases in colonic short-chain fatty acid levels, and alterations in the regulation of hepatic metabolism of lipids and cholesterol. In this model, we demonstrate the alteration of early-life murine metabolic homeostasis through antibiotic manipulation.
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References
McCaig, L. F. & Hughes, J. M. Trends in antimicrobial drug prescribing among office-based physicians in the United States. J. Am. Med. Assoc. 273, 214–219 (1995)
Kozyrskyj, A. L., Ernst, P. & Becker, A. B. Increased risk of childhood asthma from antibiotic use in early life. Chest 131, 1753–1759 (2007)
Blaser, M. J. & Falkow, S. What are the consequences of the disappearing human microbiota? Nature Rev. Microbiol. 7, 887–894 (2009)
Dethlefsen, L. & Relman, D. A. Microbes and Health Sackler Colloquium: Incomplete recovery and individualized responses of the human distal gut microbiota to repeated antibiotic perturbation. Proc. Natl Acad. Sci. USA 108, 4554–4561 (2010)
Manichanh, C. et al. Reshaping the gut microbiome with bacterial transplantation and antibiotic intake. Genome Res. 20, 1411–1419 (2010)
Butaye, P., Devriese, L. A. & Haesebrouck, F. Antimicrobial growth promoters used in animal feed: effects of less well known antibiotics on gram-positive bacteria. Clin. Microbiol. Rev. 16, 175–188 (2003)
Ozawa, E. Studies on growth promotion by antibiotics. J. Antibiot. 8, 205–214 (1955)
Abreu, M. T., Fukata, M. & Arditi, M. TLR signaling in the gut in health and disease. J. Immunol. 174, 4453–4460 (2005)
Qin, J. et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature 464, 59–65 (2010)
Hansotia, T. & Drucker, D. J. GIP and GLP-1 as incretin hormones: lessons from single and double incretin receptor knockout mice. Regul. Pept. 128, 125–134 (2005)
Gesta, S., Tseng, Y. H. & Kahn, C. R. Developmental origin of fat: tracking obesity to its source. Cell 131, 242–256 (2007)
Turnbaugh, P. J. et al. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature 444, 1027–1031 (2006)
Reikvam, D. H. et al. Depletion of murine intestinal microbiota: effects on gut mucosa and epithelial gene expression. PLoS ONE 6, e17996 (2011)
Robinson, C. J. & Young, V. B. Antibiotic administration alters the community structure of the gastrointestinal micobiota. Gut Microbes 1, 279–284 (2010)
Wlodarska, M. et al. Antibiotic treatment alters the colonic mucus layer and predisposes the host to exacerbated Citrobacter rodentium-induced colitis. Infect. Immun. 79, 1536–1545 (2011)
McCracken, V. J., Simpson, J. M., Mackie, R. I. & Gaskins, H. R. Molecular ecological analysis of dietary and antibiotic-induced alterations of the mouse intestinal microbiota. J. Nutr. 131, 1862–1870 (2001)
Pace, N. R. A molecular view of microbial diversity and the biosphere. Science 276, 734–740 (1997)
Spor, A., Koren, O. & Ley, R. Unravelling the effects of the environment and host genotype on the gut microbiome. Nature Rev. Microbiol. 9, 279–290 (2011)
Ley, R. E. et al. Obesity alters gut microbial ecology. Proc. Natl Acad. Sci. USA 102, 11070–11075 (2005)
Buffa, R. et al. Identification of the intestinal cell storing gastric inhibitory peptide. Histochemistry 43, 249–255 (1975)
Miyawaki, K. et al. Inhibition of gastric inhibitory polypeptide signaling prevents obesity. Nature Med. 8, 738–742 (2002)
Tsukiyama, K. et al. Gastric inhibitory polypeptide is the major insulinotropic factor in KATP null mice. Eur. J. Endocrinol. 151, 407–412 (2004)
Zhou, H. et al. Gastric inhibitory polypeptide modulates adiposity and fat oxidation under diminished insulin action. Biochem. Biophys. Res. Commun. 335, 937–942 (2005)
Yip, R. G., Boylan, M. O., Kieffer, T. J. & Wolfe, M. M. Functional GIP receptors are present on adipocytes. Endocrinology 139, 4004–4007 (1998)
Yamada, Y. & Seino, Y. Physiology of GIP—a lesson from GIP receptor knockout mice. Horm. Metab. Res. 36, 771–774 (2004)
Ley, R. E. et al. Obesity alters gut microbial ecology. Proc. Natl Acad. Sci. USA 102, 11070–11075 (2005)
Turnbaugh, P. J., Backhed, F., Fulton, L. & Gordon, J. I. Diet-induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome. Cell Host Microbe 3, 213–223 (2008)
Murphy, E. F. et al. Composition and energy harvesting capacity of the gut microbiota: relationship to diet, obesity and time in mouse models. Gut 59, 1635–1642 (2010)
Fleissner, C. K. et al. Absence of intestinal microbiota does not protect mice from diet-induced obesity. Br. J. Nutr. 104, 919–929 (2010)
Wong, J. M., de Souza, R., Kendall, C. W., Emam, A. & Jenkins, D. J. Colonic health: fermentation and short chain fatty acids. J. Clin. Gastroenterol. 40, 235–243 (2006)
Hong, Y. H. et al. Acetate and propionate short chain fatty acids stimulate adipogenesis via GPCR43. Endocrinology 146, 5092–5099 (2005)
Lovell, C. R. & Leaphart, A. B. Community-level analysis: key genes of CO2-reductive acetogenesis. Methods Enzymol. 397, 454–469 (2005)
Henderson, G., Naylor, G. E., Leahy, S. C. & Janssen, P. H. Presence of novel, potentially homoacetogenic bacteria in the rumen as determined by analysis of formyltetrahydrofolate synthetase sequences from ruminants. Appl. Environ. Microbiol. 76, 2058–2066 (2010)
Bergman, E. N. Energy contributions of volatile fatty acids from the gastrointestinal tract in various species. Physiol. Rev. 70, 567–590 (1990)
Backhed, F. et al. The gut microbiota as an environmental factor that regulates fat storage. Proc. Natl Acad. Sci. USA 101, 15718–15723 (2004)
Backhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A. & Gordon, J. I. Host-bacterial mutualism in the human intestine. Science 307, 1915–1920 (2005)
Jukes, T. H. Antibiotics in animal feeds. N. Engl. J. Med. 282, 49–50 (1970)
Paine, R. T., Tegner, M. J. & Johnson, E. A. Compounded perturbations yield ecological surprises. Ecosystems 1, 535–545 (1998)
Pickett, S. T. & White, P. S. The Ecology of Natural Disturbance and Patch Dynamics (Academic, 1985)
Blaser, M. J. & Kirschner, D. The equilibria that allow bacterial persistence in human hosts. Nature 449, 843–849 (2007)
Sole, R. V. & Montoya, J. M. Complexity and fragility in ecological networks. Proc. R. Soc. Lond. B 268, 2039–2045 (2001)
Cho, I. & Blaser, M. J. The human microbiome: at the interface of health and disease. Nature Rev. Genet. 13, 260–270 (2012)
Subramanian, A. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl Acad. Sci. USA 102, 15545–15550 (2005)
Harkness, J. E. & Wagner, J. E. The Biology and Medicine of Rabbits and Rodents 3rd edn (Lea and Febiger, 1989)
Reeder, S. B. et al. Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast spin-echo imaging. Magn. Reson. Med. 54, 636–644 (2005)
Andrikopoulos, S., Blair, A. R., Deluca, N., Fam, B. C. & Proietto, J. Evaluating the glucose tolerance test in mice. Am. J. Physiol. Endocrinol. Metab. 295, E1323–E1332 (2008)
Favier, C. F., Vaughan, E. E., De Vos, W. M. & Akkermans, A. D. L. Molecular monitoring of succession of bacterial communities in human neonates. Appl. Environ. Microbiol. 68, 219–226 (2002)
Martínez-Murcia, A. J., Acinas, S. G. & Rodriguez-Valera, F. Evaluation of prokaryotic diversity by restrictase digestion of 16S rDNA directly amplified from hypersaline environments. FEMS Microbiol. Ecol. 17, 247–255 (1995)
Li, K. et al. ANDES: Statistical tools for the ANalyses of DEep Sequencing. BMC Res. Notes 3, 199 (2010)
Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990)
Caporaso, J. G. et al. QIIME allows analysis of high-throughput community sequencing data. Nature Methods 7, 335–336 (2010)
Edgar, R. C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26, 2460–2461 (2010)
Wang, Q., Garrity, G. M., Tiedje, J. M. & Cole, J. R. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73, 5261–5267 (2007)
Caporaso, J. G. et al. PyNAST: a flexible tool for aligning sequences to a template alignment. Bioinformatics 26, 266–267 (2010)
Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS ONE 5, e9490 (2010)
Lozupone, C., Lladser, M. E., Knights, D., Stombaugh, J. & Knight, R. UniFrac: an effective distance metric for microbial community comparison. ISME J. 5, 169–172 (2010)
Lozupone, C. & Knight, R. UniFrac: a new phylogenetic method for comparing microbial communities. Appl. Environ. Microbiol. 71, 8228–8235 (2005)
Gentleman, R. C. et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 5, R80 (2004)
Ihaka, R. & Gentleman, R. R: a language for data analysis and graphics. J. Comp. Graph. 5, 299–314 (1996)
Gentleman, R. C. et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 5, R80 (2004)
Pavoine, S. & Bailly, X. New analysis for consistency among markers in the study of genetic diversity: development and application to the description of bacterial diversity. BMC Evol. Biol. 7, 156 (2007)
Pavoine, S., Dufour, A. B. & Chessel, D. From dissimilarities among species to dissimilarities among communities: a double principal coordinate analysis. J. Theor. Biol. 228, 523–537 (2004)
Hong, F. et al. Interleukin 6 alleviates hepatic steatosis and ischemia/reperfusion injury in mice with fatty liver disease. Hepatology 40, 933–941 (2004)
Zhao, G., Nyman, M. & Jonsson, J. A. Rapid determination of short-chain fatty acids in colonic contents and faeces of humans and rats by acidified water-extraction and direct-injection gas chromatography. Biomed. Chromatogr. 20, 674–682 (2006)
Acknowledgements
This work was supported in part with grants from the NIH (T-RO1-DK090989, 1UL1-RR029893, UL1-TR000038), the Diane Belfer Program in Human Microbial Ecology, the Philip and Janice Levin Foundation, the Michael Saperstein Fellowship, and institutional funds provided by the J. Craig Venter Institute, and the NYU Genome Technology Center. We thank N. Javitt for advice and J. Chung for technical assistance.
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I.C. and M.J.B. designed the study; I.C., L.C., S.Y., Z.G., D.M., I.T. and K.R. performed experiments; B.A.M. and K.L. performed sequencing and sequencing analysis; J.Z. performed microarray analyses; I.C. and H.L. performed statistical interpretation and analyses; A.V.A. performed bioinformatics analyses and interpretation; I.C. and M.J.B. took primary responsibility for writing the manuscript.
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Cho, I., Yamanishi, S., Cox, L. et al. Antibiotics in early life alter the murine colonic microbiome and adiposity. Nature 488, 621–626 (2012). https://doi.org/10.1038/nature11400
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DOI: https://doi.org/10.1038/nature11400
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