Helminth Imprinting of Hematopoietic Stem Cells Sustains Anti-Inflammatory Trained Innate Immunity That Attenuates Autoimmune Disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Certain proinflammatory stimuli can metabolically and epigenetically modify monocytes/macrophages or NK cells to be more responsive to secondary stimuli, a process known as trained innate immunity. However, the longevity of trained innate immunity is unclear. In this study, we report that Fasciola hepatica excretory-secretory products (FHES) can imprint an anti-inflammatory phenotype on long-term hematopoietic stem cells (HSCs) and monocyte precursor populations, enhancing their proliferation and differentiation into anti-inflammatory Ly6Clow monocytes. These monocytes expand and populate multiple compartments within mice, conferring hyporesponsiveness to proinflammatory stimuli and reduced susceptibility to induction of experimental autoimmune encephalomyelitis. Mice treated with FHES had enhanced alternatively activated macrophages, reduced Th1 and Th17 responses, and attenuating effects on autoimmunity that persisted for 8 mo. Furthermore, transplantation of HSCs from FHES-treated mice transferred the anti-inflammatory phenotype to naive mice. Our findings demonstrate that helminth products can modulate HSCs to promote development of anti-inflammatory myeloid cells that attenuate T cell–mediated autoimmune disease.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it