Literature highlights – 03/03/2022

First my pick for best recent cover art from the most recent Nature Medicine

Onto the papers!

Mucosal fungi promote gut barrier function and social behavior via Type 17 immunity – Cell

I’m always fascinated by the mycobiota and this appears to be the most in depth study to date of the impacts of the mycobiota on the host. Really fantastic combination of different models and technologies to define the host-fungal itneractions

  • Characterised the mycobiota biogeography along the gastrointestinal tract and identified a subset of fungi associated with the intestinal mucosa of mice and humans (See fig above).
  • Used RNASeq to define the impact of fungal colonisation on colonic epithelial cells.
  • Many of the immune phenotyping done with flow cytometry. Found mucosal associated fungi induces the production of IL-22 by CD4+ T cells
  • Found a mucosal fungal consortium is protective against C. rodentium-induced colitis and modulates social behaviour. 

Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease – Nature Medicine

  • 199 participants with acute coronary syndrom + cohort of 970 controls. 
  • shotgun metagenomics sequencing of stool samples
  • serum metabolomics
  • Identified a previously unknown bacterial species of the Clostridiaceae family, which was depleted in the ACS cohort, and was significantly associated with the levels of 15 circulating metabolites

Also in Nature Medicine in the same week was the following 

Microbiome and metabolome features of the cardiometabolic disease spectrum – Nature Medicine

  • >1200 people sampled in total including controls and ischemic heart disease. 
  • Identified diet as a major confounder when comparing between groups
  • Identified a change in enterotypes (people are still using enterotypes!?) and a change in gene richness and bacterial load between disease/control groups
  • Identified several metabolome related changes predicted of disease. 

Someone should probably do a meta analysis of these + other major datasets 👀

Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes – Nature Metabolism

  • Combining CYTOF, scRNASeq & mass cytometry on cells from 24 donors across three groups
  • Nice to see single cell multi-omics datasets moving into decent numbers of replicates. 

Other articles I wanted to highlight

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