Kaleta Lab

@kaletalab@mstdn.science
92 Followers
147 Following
35 Posts
Medical Systems Biology research group - Constraint-based modelling - Microbiome Modelling - Systems Biology of Aging - Integrative data analysis

Our (@kaletalab) new study uncovers multi-level metabolic disruptions in #IBD involving reduced #HostMicrobiomeInteractions.

Elevated tryptophan catabolism → NAD biosynthesis impaired.

Disrupted nitrogen homeostasis affects polyamine/glutathione metabolism.

Suppressed C1 cycle alters NAD/phospholipid profiles.

#MetabolicModeling predicts dietary interventions to restore #Microbiome balance.

Read and share: https://rdcu.be/eo7B3
#SystemsBiology #Microbiome #MultiOmics #CAU #UKSH #Kiel 

@kaletalab: @kieluni
Excellence Cluster PMI
and the Metaorganisms research center CRC1182.
Based in Kiel by the Baltic Sea, we offer a competitive salary, collaborative environment, and support for work-life balance. 🌊 Ready to embark? Apply by Nov 29, 2023, and be part of our research team! 📅 Learn more & contact us here: c.kaleta@iem.uni-kiel.de
We used two microbiome member species of C. elegans, designated MYb11 and MYb71, to conduct a proof-of-principle study whether to identify precision prebiotics for MYb11, a host-protective strain (4/8)
With this proof-of-principle study we showed that metabolic modelling can be a useful tool for the development of targeted microbiome therapies. (8/8)
Moving to experiments, we could confirm that indeed four of these compounds conferred a growth advantage of MYb11 over MYb71 in batch culture. (6/8)
For one of these compounds we further could show that it also specifically enriched MYb11 in the host. (7/8)
Using two different community-modelling approaches and cross-linking with Biolog data we identified seven compounds that specifically boosted MYb11. (5/8)
We reasoned that "precision prebiotics" that specifically modulate the abundance of a resident health-beneficial bacterial species could overcome such limitations. (3/8)
Conventional approaches for microbiome manipulation like fecal transplants and probiotics are often relatively unspecific and suffer from potent side effects or lack of engraftment. (2/8)
Proud to present our work on the targeted manipulation of microbial community composition using constraint-based modelling. Great collaboration with @SchulenburgLab led by @GeorgiosMarino3 and Inga Hamerich @CRC1182 @kieluni @pmi @medinflame https://www.biorxiv.org/content/10.1101/2023.02.17.528811v1 (1/8)