Thus, single-cell metabolic dynamics can forecast infection outcomes. In the spirit of @stephenwolfram.bsky.social's ideas, bacterial infection exhibits pockets of computational reducibility at the single-cell scale. Might this point to new ways to predict infection progression?

So we trained an explainable Machine Learning model using Δψm + mROS dynamics, and the AI model predicted which infected cell will support replication with 83% accuracy before bacterial replication begins

What make these permissive macrophages different? Before bacteria replicate, macrophages that will permit bacterial growth already show sustained mitochondrial membrane potential (Δψm) and higher mitochondrial ROS (mROS). These are early mitochondrial signals of permissive cells!

New paper finally out on @natcomms.nature.com! Led by first author Maria Dramé with the collaboration of Francisco Garcia, @cbuch.bsky.social and @jytinevez.bsky.social at @pasteur.fr. Early mitochondrial signals in single human macrophages predict later Legionella replication. Link + details👇🧵

New preprint in the lab! How the mitochondrial ETC works during infection of human macrophages with #Legionella or #Salmonella? Spoiler: there are some similarities and also pathogen-specific differences. Work led by Francisco Garcia and Paula Martínez, with @cbuch.bsky.social at @pasteur.fr