“Age Related Differences in the Biology of Chronic Graft-Versus-Host Disease After Hematopoietic Stem Cell Transplantation”
Bibliographic record
Abstract
It is well established that pediatric recipients have a lower rate of cGvHD and lower severity. For a long time, it has been hypothesized that thymic function is the primary reason for the lower rate cGvHD yet there is little human evidence after HSCT to support this hypothesis. Comprehensive immune profiling by our group of both cellular and plasma markers evaluations finds similarities and differences in both adults and pediatric population. Our pediatric cohort was large enough to allow for a sub analysis of the impact of puberty in children aged 0 – 12 compared to ≥12 – 18 years. We found that there were significant differences between children and adults with an increase in PD1- naïve and memory Th cell populations consistent with a predominance of peripheral tolerance whereas prepubertal children had decreases in recent thymic emigrant (RTE) naïve Th and Treg populations supporting the importance of central tolerance induction in that population. We saw a significant suppression of newly formed B cell populations in children where as there appears to be a defect in an early B cell check point inhibition in adults with an increase in T1-CD21lo B cells and a decrease in T1-CD24hiCD38hi B cells. While ST2 elevation and NKreg decreases were seen in all ages groups that develop cGvHD, aminopeptidase N (sCD13) elevation was only seen in prepubertal children suggesting a role in broad suppression of B cell and thymopoiesis. We discuss the possible mechanisms for these age related differences and how this may impact on therapeutic approaches to cGvHD.
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".