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Antibiotic use and inflammatory bowel diseases in childhood
Abstract
BACKGROUND: The composition of the intestinal microflora has been proposed as an important factor in the development of inflammatory bowel diseases (IBD). Antibiotics have the potential to alter the composition of the intestinal microflora. A study was undertaken to evaluate the potential association between use of antibiotics and IBD in childhood. METHODS: A nationwide cohort study was conducted of all Danish singleton children born from 1995 to 2003 (N=577,627) with individual-level information on filled antibiotic prescriptions, IBD and potential confounding variables. Using Poisson regression, rate ratios (RRs) of IBD were calculated according to antibiotic use. Antibiotic use was classified according to time since use, type, number of courses used and age at use. RESULTS: IBD was diagnosed in 117 children during 3,173,117 person-years of follow-up. The RR of IBD was 1.84 (95% CI 1.08 to 3.15) for antibiotic users compared with non-users. This association appeared to be an effect on Crohn's disease (CD) alone (RR 3.41) and was strongest in the first 3 months following use (RR 4.43) and among children with ≥7 courses of antibiotics (RR 7.32). CONCLUSIONS: Antibiotic use is common in childhood and its potential as an environmental risk factor for IBD warrants scrutiny. This is the first prospective study to show a strong association between antibiotic use and CD in childhood. However, as with any observational study, causality cannot be inferred from our results and confounding by indication--in particular, prescribing of antibiotics to children with intestinal symptoms of as yet undiagnosed CD--should also be considered as a possible explanation.
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Cited by
Hill (2014) · doi:10.1038/nrgastro.2014.66 · Cited by 9,592
The human microbiome: at the interface of health and disease
Cho, I., & Blaser, M. J. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3182 · Cited by 3,449
The Treatment-Naive Microbiome in New-Onset Crohn’s Disease
Gevers, D., Kugathasan, S., Denson, L. A., Vázquez-Baeza, Y., Van Treuren, W., Ren, B., Schwager, E., Knights, D., Song, S. J., Yassour, M., et al. (2014) · Cell Host & Microbe · doi:10.1016/j.chom.2014.02.005 · Cited by 3,220
Microbial Exposure During Early Life Has Persistent Effects on Natural Killer T Cell Function
Olszak, T., An, D., Zeissig, S., Vera, M. P., Richter, J., Franke, A., Glickman, J. N., Siebert, R., Baron, R. M., Kasper, D. L., et al. (2012) · Science · doi:10.1126/science.1219328 · Cited by 1,661
Immunopathogenesis of IBD: current state of the art
de Souza, H. S. P., & Fiocchi, C. (2016) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2015.186 · Cited by 1,551
Antibiotics, birth mode, and diet shape microbiome maturation during early life
Bokulich, N. A., Chung, J., Battaglia, T., Henderson, N., Jay, M., Li, H., D. Lieber, A., Wu, F., Perez-Perez, G. I., Chen, Y., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad7121 · Cited by 1,469
Manichanh, C., Borruel, N., Casellas, F., & Guarner, F. (2012) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2012.152 · Cited by 1,160
Bäckhed, F., Fraser, C. M., Ringel, Y., Sanders, M. E., Sartor, R. B., Sherman, P. M., Versalovic, J., Young, V., & Finlay, B. B. (2012) · Cell Host & Microbe · doi:10.1016/j.chom.2012.10.012 · Cited by 836
The epidemiology of inflammatory bowel disease: East meets west
Mak, W. Y., Zhao, M., Ng, S. C., & Burisch, J. (2020) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.14872 · Cited by 631
Metabolomics enables precision medicine: “A White Paper, Community Perspective”
for “Precision Medicine and Pharmacometabolomics Task Group”-Metabolomics Society Initiative, Beger, R. D., Dunn, W., Schmidt, M. A., Gross, S. S., Kirwan, J. A., Cascante, M., Brennan, L., Wishart, D. S., Oresic, M., et al. (2016) · Metabolomics · doi:10.1007/s11306-016-1094-6 · Cited by 592
Ng, S. C., Tang, W., Leong, R. W., Chen, M., Ko, Y., Studd, C., Niewiadomski, O., Bell, S., Kamm, M. A., de Silva, H. J., et al. (2015) · Gut · doi:10.1136/gutjnl-2014-307410 · Cited by 443
Leclercq, S., Mian, F. M., Stanisz, A. M., Bindels, L. B., Cambier, E., Ben-Amram, H., Koren, O., Forsythe, P., & Bienenstock, J. (2017) · Nature Communications · doi:10.1038/ncomms15062 · Cited by 434
The Microbiome and Human Biology
Knight, R., Callewaert, C., Marotz, C., Hyde, E. R., Debelius, J. W., McDonald, D., & Sogin, M. L. (2017) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083115-022438 · Cited by 373
Interactions between Intestinal Microbiota and Host Immune Response in Inflammatory Bowel Disease
Zhang, M., Sun, K., Wu, Y., Yang, Y., Tso, P., & Wu, Z. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.00942 · Cited by 347
Heiss, C. N., & Olofsson, L. E. (2019) · Journal of Neuroendocrinology · doi:10.1111/jne.12684 · Cited by 304
Changing epidemiological trends of inflammatory bowel disease in Asia
Ng, W. K., Wong, S. H., & Ng, S. C. (2016) · Intestinal Research · doi:10.5217/ir.2016.14.2.111 · Cited by 299
Dzutsev, A., Badger, J. H., Perez-Chanona, E., Roy, S., Salcedo, R., Smith, C. K., & Trinchieri, G. (2017) · Annual Review of Immunology · doi:10.1146/annurev-immunol-051116-052133 · Cited by 302
Gut microbiota and gastrointestinal health: current concepts and future directions
Aziz, Q., Doré, J., Emmanuel, A., Guarner, F., & Quigley, E. M. M. (2013) · Neurogastroenterology & Motility · doi:10.1111/nmo.12046 · Cited by 280
Wang, T., Hu, X., Liang, S., Li, W., Wu, X., Wang, L., & Jin, F. (2015) · Beneficial Microbes · doi:10.3920/bm2014.0177 · Cited by 233
The microbiota in inflammatory bowel disease: Current and therapeutic insights
Lane, E. R., Zisman, T., & Suskind, D. (2017) · Journal of Inflammation Research · doi:10.2147/jir.s116088 · Cited by 226
Ringel-Kulka, T., Cheng, J., Ringel, Y., Salojärvi, J., Carroll, I., Palva, A., de Vos, W. M., & Satokari, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064315 · Cited by 230
Köhler-Forsberg, O., Petersen, L., Gasse, C., Mortensen, P. B., Dalsgaard, S., Yolken, R. H., Mors, O., & Benros, M. E. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.3428 · Cited by 215
Involvement of the gut microbiota and barrier function in glucocorticoid-induced osteoporosis
Schepper, J. D., Collins, F., Rios-Arce, N. D., Kang, H. J., Schaefer, L., Gardinier, J. D., Raghuvanshi, R., Quinn, R. A., Britton, R., Parameswaran, N., et al. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3947 · Cited by 199
Antibiotic exposure and the development of coeliac disease: a nationwide case–control study
Mårild, K., Ye, W., Lebwohl, B., Green, P. H., Blaser, M. J., Card, T., & Ludvigsson, J. F. (2013) · BMC Gastroenterology · doi:10.1186/1471-230x-13-109 · Cited by 175
Manipulation of the Microbiota for Treatment of IBS and IBD—Challenges and Controversies
Shanahan, F., & Quigley, E. M. M. (2014) · Gastroenterology · doi:10.1053/j.gastro.2014.01.050 · Cited by 172
The incidence of inflammatory bowel disease in Denmark 1980–2013: a nationwide cohort study
Lophaven, S. N., Lynge, E., & Burisch, J. (2017) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.13971 · Cited by 157
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
Influence of antibiotic use in early childhood on asthma and allergic diseases at age 5
Yamamoto-Hanada, K., Yang, L., Narita, M., Saito, H., & Ohya, Y. (2017) · Annals of Allergy, Asthma & Immunology · doi:10.1016/j.anai.2017.05.013 · Cited by 129
Early Development of the Gut Microbiome and Immune-Mediated Childhood Disorders
Li, M., Wang, M., & Donovan, S. (2014) · Seminars in Reproductive Medicine · doi:10.1055/s-0033-1361825 · Cited by 131
Microbiota, immunoregulatory old friends and psychiatric disorders
Rook, G. A. W., Raison, C. L., & Lowry, C. A. (2014) · Advances in Experimental Medicine and Biology · doi:10.1007/978-1-4939-0897-4_15 · Cited by 117
Hygiene and other early childhood influences on the subsequent function of the immune system
Rook, G. A. W., Lowry, C. A., & Raison, C. L. (2015) · Brain Research · doi:10.1016/j.brainres.2014.04.004 · Cited by 109
Aluminum enhances inflammation and decreases mucosal healing in experimental colitis in mice
Pineton de Chambrun, G., Body-Malapel, M., Frey-Wagner, I., Djouina, M., Deknuydt, F., Atrott, K., Esquerre, N., Altare, F., Neut, C., Arrieta, M. C., et al. (2014) · Mucosal Immunology · doi:10.1038/mi.2013.78 · Cited by 108
Wang, S., Xie, Y., Yang, X., Wang, X., Yan, K., Zhong, Z., Wang, X., Xu, Y., Zhang, Y., Liu, F., et al. (2016) · Parasites & Vectors · doi:10.1186/s13071-015-1288-1 · Cited by 75
An overview of the microbiome and the effects of antibiotics
Taggart, H., & Bergstrom, L. (2014) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2014.05.005 · Cited by 14
Metadata
- Authors
- Hviid, A., Svanstrom, H., & Frisch, M.
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2010-10-21
- Volume
- 60
- Issue
- 1
- Pages
- 49-54
- ISSN
- 0017-5749 (ISSN-L)
- OpenAlex
- W2099471877
- Cited by
- 492
- References
- 0
- FWCI
- 12.41
- Type
- journal article
- Language
- en
- Open access
- closed
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