Peroxisome proliferator-activated receptor delta (PPARδ) limits Th1 inflammation through effects on interferon (IFN)-γ transcription and lymphocyte homeostasis (IRM7P.480)
Bibliographic record
Abstract
Abstract PPARδ is a nuclear receptor that functions as a transcriptional regulator of various processes including metabolic homeostasis, cell proliferation and differentiation. We previously reported that mice deficient in PPARδ (KO) exhibit more severe experimental autoimmune encephalomyelitis than wild type (WT) mice. This more severe inflammation correlated with an increased expansion of myelin-reactive IFNγ-producing cells in the spinal cord, suggesting that PPARδ may act to limit Th1 inflammatory responses. However, the mechanism of how PPARδ accomplishes this is not clear. Characterization of the spleen and thymus compartments revealed that KO mice exhibit reduced spleen and thymus cellularity as compared to WT mice. The resultant lymphopenia in KO mice associated with a higher frequency of memory CD4+ T cells in the periphery. Radiation bone marrow chimeras were generated and the defect in thymocyte development was found to map to the radio-resistant compartment, suggesting that PPARδ may operate in stromal cells to regulate thymocyte development. This was furthered confirmed by the finding that mice with T cell-restricted deficiency of PPARδ did not exhibit defective thymocyte homeostasis. Furthermore, we observed that naïve CD4+ T cell from both KO and T cell-restricted PPARδ-deficient mice had a higher propensity to produce IFNγ upon stimulation. Thus PPARδ appears to limit Th1 inflammation both through the control of lymphocyte homeostasis and IFNγ production.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".