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A distinctive 'microbial signature' in celiac pediatric patients
Open accessAbstract
BACKGROUND: Celiac Disease (CD) is an autoimmune disorder of the small intestine in which dietary gluten ingestion leads to a chronic enteropathy. Recently, scientific evidence suggested a potential role of gut microbiota in CD. To have a snapshot of dominant duodenal microbiota we analyzed the mucosa-associated microbiota of 20 children with CD, before and after a gluten-free diet (GFD) regimen, and of 10 controls. Total DNA was extracted from duodenal biopsies and amplification products of 16S ribosomal DNA were compared by temporal temperature gradient gel electrophoresis (TTGE). TTGE profiles were analyzed by statistical multivariate analysis. RESULTS: The average number of bands in TTGE profiles was significantly higher (P < 0.0001) in active (n.b. 16.7 +/- 0.7) and inactive states (n.b. 13.2 +/- 0.8) than in controls (n.b. 3.7 +/- 1.3). Mean interindividual similarity index was 54.9% +/- 14.9% for active disease, 55.6% +/- 15.7% for remission state and 21.8% +/- 30.16% for controls. Similarity index between celiac children before and after GFD treatment was 63.9% +/- 15.8%. Differences in microbiota biodiversity were among active and remission state (P = 0.000224) and amid active CD and controls (P < 0.001). Bacteroides vulgatus and Escherichia coli were detected more often in CD patients than in controls (P < 0.0001). CONCLUSIONS: Overall, the results highlighted a peculiar microbial TTGE profile and a significant higher biodiversity in CD pediatric patients' duodenal mucosa. The possible pathophysiological role of these microbial differences needs further characterization.
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Frank, D. N., St. Amand, A. L., Feldman, R. A., Boedeker, E. C., Harpaz, N., & Pace, N. R. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706625104 · Cited by 4,611
Holmes, G. K. T., & Cooke, W. T. (1984) · Cited by 2,638
Molecular analysis of the bacterial microbiota in the human stomach
Bik, E. M., Eckburg, P. B., Gill, S. R., Nelson, K. E., Purdom, E. A., Francois, F., Perez-Perez, G., Blaser, M. J., & Relman, D. A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506655103 · Cited by 1,158
Xu, J., & Gordon, J. I. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1734063100 · Cited by 858
How to get more out of molecular fingerprints: practical tools for microbial ecology
Marzorati, M., Wittebolle, L., Boon, N., Daffonchio, D., & Verstraete, W. (2008) · Environmental Microbiology · doi:10.1111/j.1462-2920.2008.01572.x · Cited by 501
Imbalance in the composition of the duodenal microbiota of children with coeliac disease
Nadal, I., Donant, E., Ribes-Koninckx, C., Calabuig, M., & Sanz, Y. (2007) · Journal of Medical Microbiology · doi:10.1099/jmm.0.47410-0 · Cited by 396
Gut-associated bacterial microbiota in paediatric patients with inflammatory bowel disease
Conte, M. P., Schippa, S., Zamboni, I., Penta, M., Chiarini, F., Seganti, L., Osborn, J., Falconieri, P., Borrelli, O., & Cucchiara, S. (2006) · Gut · doi:10.1136/gut.2005.078824 · Cited by 383
Self-citationAsmar, R. E., Panigrahi, P., Bamford, P., Berti, I., Not, T., Coppa, G. V., Catassi, C., & Fasano, A. (2002) · Gastroenterology · doi:10.1053/gast.2002.36578 · Cited by 363
Specific duodenal and faecal bacterial groups associated with paediatric coeliac disease
Collado, M. C., Donat, E., Ribes-Koninckx, C., Calabuig, M., & Sanz, Y. (2009) · Journal of Clinical Pathology · doi:10.1136/jcp.2008.061366 · Cited by 354
Fortnightly review: Coeliac disease
Feighery, C. (1999) · BMJ · doi:10.1136/bmj.319.7204.236 · Cited by 235
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Reduction of Abeta amyloid pathology in APPPS1 transgenic mice in the absence of gut microbiota
Harach, T., Marungruang, N., Duthilleul, N., Cheatham, V., Mc Coy, K. D., Frisoni, G., Neher, J. J., Fåk, F., Jucker, M., Lasser, T., et al. (2017) · Scientific Reports · doi:10.1038/srep41802 · Cited by 901
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Gerritsen, J., Smidt, H., Rijkers, G. T., & de Vos, W. M. (2011) · Genes & Nutrition · doi:10.1007/s12263-011-0229-7 · Cited by 724
Gut Microbiota Diversity and Human Diseases: Should We Reintroduce Key Predators in Our Ecosystem?
Mosca, A., Leclerc, M., & Hugot, J. P. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00455 · Cited by 612
Martinez-Medina, M., Denizot, J., Dreux, N., Robin, F., Billard, E., Bonnet, R., Darfeuille-Michaud, A., & Barnich, N. (2014) · Gut · doi:10.1136/gutjnl-2012-304119 · Cited by 539
Metadata
- Authors
- Schippa, S., Iebba, V., Barbato, M., Di Nardo, G., Totino, V., Checchi, M., Longhi, C., Maiella, G., Cucchiara, S., & Conte, M.
- Venue
- BMC Microbiology
- Published
- 2010
- Volume
- 10
- Issue
- 1
- Pages
- 175
- ISSN
- 1471-2180 (ISSN-L)
- OpenAlex
- W2151901229
- Cited by
- 256
- References
- 19
- FWCI
- 5.91
- Type
- journal article
- Language
- en
- Open access
- gold
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