442.3: The fibrinogen-like protein 2 molecule influences the development of thymic regulatory T Cells.
Bibliographic record
Abstract
Latner Thoracic Research Laboratories. Introduction: Transplantation is the primary treatment for patients with end-stage organ failure. However, long-term outcomes are limited by immunosuppressant toxicities and chronic graft rejection. Regulatory T cells (Tregs), with their immunoregulatory capability, hold great potential as a tolerance-inducing agent. As such, identifying factors involved in their development and commitment is required for realization of their therapeutic potential in solid organ transplantation. Fibrinogen-like protein 2 (Fgl2)- deficient Tregs are functionally defective, so we tested the hypothesis that Fgl2 is required for normal thymic Treg development. Method: We first generated reciprocal Fgl2 bone marrow chimeras by reconstituting B6 CD45.1 or CD45.2 female mice with bone marrow stem cells from either fgl2+/+ (WT) or fgl2-/- (KO) mice, producing WT->KO and KO->WT chimeras, along with their corresponding KO-> KO and WT->WT controls. Reconstitution was monitored by monthly tail bleed. Once it reached 90% or more, we collected their plasma and thymi for Fgl2 ELISA and flow cytometry (Fig.1a).Results: There was no significant difference in the plasma concentration of Fgl2 between WT->KO and KO->WT chimeras, suggesting that both radioresistant and radiosensitive cells can produce Fgl2 (Fig. 1b). Strikingly, the number of Tregs and the expression of Treg effector molecules (PD-L1, PD-1, LAG3, and TIGIT) differed dramatically between the 4 chimeric groups (Fig.2a). Complete absence of Fgl2 (KO->KO) increased thymic Treg cellularity and effector molecule expression but only Fgl2 from radioresistant cells (KO->WT), and not radiosensitive cells (WT->KO) was able to restore baseline levels (Fig.2a).Conclusion: Our data demonstrate that not only can radioresistant sources of Fgl2 contribute to its level in the circulation, but they can also influence Treg development. It appears that radioresistant cell-derived Fgl2 can act as a brake on thymic Treg cellularity and their effector molecule expression while radiosensitive cell-derived Fgl2 does not. The authors would like to thank the UHN Foundation for making this work possible, along with the staffs at UHN’s Animal and Flow Cytometry facilities.
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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) | 0.001 | 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) | 0.006 | 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".