Computer-guided design of optimal microbial consortia for immune system modulation
View/ Open
Author
Tanoue, Takeshi
Szabady, Rose L
Bhattarai, Shakti K
Olle, Bernat
Norman, Jason M
Suda, Wataru
Oshima, Kenshiro
Hattori, Masahira
Honda, Kenya
Bucci, Vanni
Note: Order does not necessarily reflect citation order of authors.
Published Version
https://doi.org/10.7554/eLife.30916Metadata
Show full item recordCitation
Stein, R. R., T. Tanoue, R. L. Szabady, S. K. Bhattarai, B. Olle, J. M. Norman, W. Suda, et al. 2018. “Computer-guided design of optimal microbial consortia for immune system modulation.” eLife 7 (1): e30916. doi:10.7554/eLife.30916. http://dx.doi.org/10.7554/eLife.30916.Abstract
Manipulation of the gut microbiota holds great promise for the treatment of diseases. However, a major challenge is the identification of therapeutically potent microbial consortia that colonize the host effectively while maximizing immunologic outcome. Here, we propose a novel workflow to select optimal immune-inducing consortia from microbiome compositicon and immune effectors measurements. Using published and newly generated microbial and regulatory T-cell (Treg) data from germ-free mice, we estimate the contributions of twelve Clostridia strains with known immune-modulating effect to Treg induction. Combining this with a longitudinal data-constrained ecological model, we predict the ability of every attainable and ecologically stable subconsortium in promoting Treg activation and rank them by the Treg Induction Score (TrIS). Experimental validation of selected consortia indicates a strong and statistically significant correlation between predicted TrIS and measured Treg. We argue that computational indexes, such as the TrIS, are valuable tools for the systematic selection of immune-modulating bacteriotherapeutics.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5959721/pdf/Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:37160307
Collections
- HMS Scholarly Articles [17922]
- SPH Scholarly Articles [6362]
Contact administrator regarding this item (to report mistakes or request changes)