Microbial dysbiosis sculpts a systemic ILC3/IL-17 axis governing lung inflammatory responses and central hematopoiesis
Bibliographic record
Abstract
Advancements in vaccination and sanitation have significantly reduced the prevalence and burden of infectious diseases; however, these benefits have coincided with a marked rise in autoimmune and allergic disorders. Recent studies have investigated these linked trends through the lens of host-microbiome alterations, proposing these shifts as a potential explanatory mechanism. Previously, we demonstrated that vancomycin-induced depletion of short-chain fatty acid (SCFA) producing bacteria results in hyperactivation of ILC2s and exacerbated allergic responses. Here we investigate the effects of low-dose streptomycin on innate and adaptive immune cell populations and their activation states. Although streptomycin-treated mice exhibit normal allergic responses, they display heightened susceptibility to Th1/Th17-mediated disease, specifically hypersensitivity pneumonitis (HP). This is characterized by a two-fold increase in ILC3s and Th17 cells in the lungs, alongside activation of antigen-presenting cells (APCs) at steady state, an effect that is further amplified upon exposure to HP-inducing agents. Shotgun metagenomic analysis revealed that streptomycin-induced dysbiosis reduces microbial diversity, depletes bile acid-metabolizing bacteria, and enriches for metabolic pathways involved in branched-chain amino acid biosynthesis, including leucine, a known activator of mTORC1. Strikingly, administration of the secondary bile acid metabolite isolithocholic acid (an inverse agonist of RORγt), or an IL-23 neutralizing antibody, reverses the enhanced susceptibility to HP. Inhibition of mTORC1 also significantly reduced Th17/ILC3 responses and histopathology. Our findings underscore microbial equilibrium as a key determinant of susceptibility to HP and uncover a positive feedback loop between IL-23-producing APCs and ILC3/Th17 cells that mechanistically links dysbiosis to sustained type 3 inflammation; and we identify a simple, actionable means of intervention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".