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Short-Term Effect of Antibiotics on Human Gut Microbiota
Open accessAbstract
From birth onwards, the human gut microbiota rapidly increases in diversity and reaches an adult-like stage at three years of age. After this age, the composition may fluctuate in response to external factors such as antibiotics. Previous studies have shown that resilience is not complete months after cessation of the antibiotic intake. However, little is known about the short-term effects of antibiotic intake on the gut microbial community. Here we examined the load and composition of the fecal microbiota immediately after treatment in 21 patients, who received broad-spectrum antibiotics such as fluoroquinolones and β-lactams. A fecal sample was collected from all participants before treatment and one week after for microbial load and community composition analyses by quantitative PCR and pyrosequencing of the 16S rRNA gene, respectively. Fluoroquinolones and β-lactams significantly decreased microbial diversity by 25% and reduced the core phylogenetic microbiota from 29 to 12 taxa. However, at the phylum level, these antibiotics increased the Bacteroidetes/Firmicutes ratio (p = 0.0007, FDR = 0.002). At the species level, our findings unexpectedly revealed that both antibiotic types increased the proportion of several unknown taxa belonging to the Bacteroides genus, a Gram-negative group of bacteria (p = 0.0003, FDR<0.016). Furthermore, the average microbial load was affected by the treatment. Indeed, the β-lactams increased it significantly by two-fold (p = 0.04). The maintenance of or possible increase detected in microbial load and the selection of Gram-negative over Gram-positive bacteria breaks the idea generally held about the effect of broad-spectrum antibiotics on gut microbiota.
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
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
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
Self-citationGlobal patterns of 16S rRNA diversity at a depth of millions of sequences per sample
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Lozupone, C. A., Turnbaugh, P. J., Fierer, N., & Knight, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000080107 · Cited by 9,711
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Nonparametric estimation of the number of classes in a population
Chao, A. (1984) · Scandinavian Journal of Statistics · Cited by 4,265
Dethlefsen, L., Huse, S., Sogin, M. L., & Relman, D. A. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060280 · Cited by 2,361
Jakobsson, H. E., Jernberg, C., Andersson, A. F., Sjölund-Karlsson, M., Jansson, J. K., & Engstrand, L. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009836 · Cited by 1,160
Long-term ecological impacts of antibiotic administration on the human intestinal microbiota
Jernberg, C., Löfmark, S., Edlund, C., & Jansson, J. K. (2007) · The ISME Journal · doi:10.1038/ismej.2007.3 · Cited by 1,134
Nocker, A., Cheung, C.-Y., & Camper, A. K. (2006) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2006.04.015 · Cited by 1,073
Cited by
Role of the normal gut microbiota
Jandhyala, S. M. (2015) · World Journal of Gastroenterology · doi:10.3748/wjg.v21.i29.8787 · Cited by 3,001
The gut microbiota promotes hepatic fatty acid desaturation and elongation in mice
Kindt, A., Liebisch, G., Clavel, T., Haller, D., Hörmannsperger, G., Yoon, H., Kolmeder, D., Sigruener, A., Krautbauer, S., Seeliger, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05767-4 · Cited by 311
Antibiotic use and microbiome function
Ferrer, M., Méndez-García, C., Rojo, D., Barbas, C., & Moya, A. (2017) · Biochemical Pharmacology · doi:10.1016/j.bcp.2016.09.007 · Cited by 299
Disruption of the gut ecosystem by antibiotics.
Yoon, M. Y., & Yoon, S. S. (2018) · Yonsei Medical Journal · doi:10.3349/ymj.2018.59.1.4 · Cited by 175
Factors influencing the gut microbiome in children: from infancy to childhood
Kumbhare, S. V., Patangia, D. V., Patil, R. H., Shouche, Y. S., & Patil, N. P. (2019) · Journal of Biosciences · doi:10.1007/s12038-019-9860-z · Cited by 143
Metadata
- Authors
- Panda, S., El khader, I., Casellas, F., López Vivancos, J., García Cors, M., Santiago, A., Cuenca, S., Guarner, F., & Manichanh, C.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-04-18
- Volume
- 9
- Issue
- 4
- Pages
- e95476
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1966423019
- Cited by
- 349
- References
- 30
- FWCI
- 8.52
- Type
- journal article
- Language
- en
- Open access
- gold
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