Murine graft‐versus‐host disease induced using interferon‐γ‐deficient grafts features antibodies to double‐stranded DNA, T helper 2‐type cytokines and hypereosinophilia
Bibliographic record
Abstract
Acute, lethal graft-versus-host disease (GvHD) develops in B6D2F1 hybrid recipients of wild-type, C57BL/6, parental strain grafts; however, when interferon-gamma (IFN-gamma) gene knockout (gko) donors are used, the disease is prolonged and associated with a higher level of engraftment, particularly of T cells. Lesions containing large, mixed cellular infiltrates develop in the skin, liver, pancreas, salivary gland, lung and kidney. In our current study, we wished to determine whether GvHD features a preponderance of T helper 2 (Th2) cytokines in the absence of donor-derived IFN-gamma, and whether autoantibody production, commonly associated with chronic GvHD, also occurs. Because mitogen responsiveness is consistently suppressed in mice with acute GvHD, we wished to measure this response in recipients of IFN-gamma gko grafts. Our findings indicate that spleen cells from the latter produce interleukin (IL)-4, IL-5 and IL-13 in culture, but respond poorly to concanavalin A (Con A) and lipopolysaccharide (LPS). Their sera contain anti-nuclear antibodies (ANA), some of which are specific for double-stranded (ds)DNA and are predominantly immunoglobulin (Ig)M and IgG1. We also noted the presence of numerous eosinophils in the infiltrates developing within the target organs. In some respects, this syndrome bears resemblance to both systemic lupus erythematosus (SLE) and chronic GvHD. However, histological evidence of glomerulonephritis is lacking and proteinuria fails to develop in recipients of IFN-gamma gko grafts, suggesting that IFN-gamma may be necessary for the development of lupus nephritis. On a broader scope, our findings underscore the importance of IFN-gamma in the pathogenetic mechanism of GvHD, and demonstrate that the absence of this cytokine promotes the development of chronic GvHD and autoimmunity.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".