Cytometric fingerprints of gut microbiota predict Crohn's disease state
- Author
- Peter Rubbens, Ruben Props (UGent) , Frederiek-Maarten Kerckhof (UGent) , Nico Boon (UGent) and Willem Waegeman (UGent)
- Organization
- Project
- Abstract
- Variations in the gut microbiome have been associated with changes in health state such as Crohn's disease (CD). Most surveys characterize the microbiome through analysis of the 16S rRNA gene. An alternative technology that can be used is flow cytometry. In this report, we reanalyzed a disease cohort that has been characterized by both technologies. Changes in microbial community structure are reflected in both types of data. We demonstrate that cytometric fingerprints can be used as a diagnostic tool in order to classify samples according to CD state. These results highlight the potential of flow cytometry to perform rapid diagnostics of microbiome-associated diseases.
- Keywords
- FLOW-CYTOMETRY, DIVERSITY
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8687620
- MLA
- Rubbens, Peter, et al. “Cytometric Fingerprints of Gut Microbiota Predict Crohn’s Disease State.” ISME JOURNAL, vol. 15, no. 1, 2021, pp. 354–58, doi:10.1038/s41396-020-00762-4.
- APA
- Rubbens, P., Props, R., Kerckhof, F.-M., Boon, N., & Waegeman, W. (2021). Cytometric fingerprints of gut microbiota predict Crohn’s disease state. ISME JOURNAL, 15(1), 354–358. https://doi.org/10.1038/s41396-020-00762-4
- Chicago author-date
- Rubbens, Peter, Ruben Props, Frederiek-Maarten Kerckhof, Nico Boon, and Willem Waegeman. 2021. “Cytometric Fingerprints of Gut Microbiota Predict Crohn’s Disease State.” ISME JOURNAL 15 (1): 354–58. https://doi.org/10.1038/s41396-020-00762-4.
- Chicago author-date (all authors)
- Rubbens, Peter, Ruben Props, Frederiek-Maarten Kerckhof, Nico Boon, and Willem Waegeman. 2021. “Cytometric Fingerprints of Gut Microbiota Predict Crohn’s Disease State.” ISME JOURNAL 15 (1): 354–358. doi:10.1038/s41396-020-00762-4.
- Vancouver
- 1.Rubbens P, Props R, Kerckhof F-M, Boon N, Waegeman W. Cytometric fingerprints of gut microbiota predict Crohn’s disease state. ISME JOURNAL. 2021;15(1):354–8.
- IEEE
- [1]P. Rubbens, R. Props, F.-M. Kerckhof, N. Boon, and W. Waegeman, “Cytometric fingerprints of gut microbiota predict Crohn’s disease state,” ISME JOURNAL, vol. 15, no. 1, pp. 354–358, 2021.
@article{8687620,
abstract = {{Variations in the gut microbiome have been associated with changes in health state such as Crohn's disease (CD). Most surveys characterize the microbiome through analysis of the 16S rRNA gene. An alternative technology that can be used is flow cytometry. In this report, we reanalyzed a disease cohort that has been characterized by both technologies. Changes in microbial community structure are reflected in both types of data. We demonstrate that cytometric fingerprints can be used as a diagnostic tool in order to classify samples according to CD state. These results highlight the potential of flow cytometry to perform rapid diagnostics of microbiome-associated diseases.}},
author = {{Rubbens, Peter and Props, Ruben and Kerckhof, Frederiek-Maarten and Boon, Nico and Waegeman, Willem}},
issn = {{1751-7362}},
journal = {{ISME JOURNAL}},
keywords = {{FLOW-CYTOMETRY,DIVERSITY}},
language = {{eng}},
number = {{1}},
pages = {{354--358}},
title = {{Cytometric fingerprints of gut microbiota predict Crohn's disease state}},
url = {{http://dx.doi.org/10.1038/s41396-020-00762-4}},
volume = {{15}},
year = {{2021}},
}
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