Abstract 17293: Human Leukocyte Antigen-G Polymorphisms Association to Post Heart Transplant Donor Specific Antibodies
Bibliographic record
Abstract
Introduction: Human Leukocyte Antigen (HLA)-G is a natural immune regulator that inhibits T cells, NK cells and B cell activity. In the context of transplantation, less rejection and better graft outcomes are associated with higher serum levels of HLA-G. The association between HLA-G polymorphisms in the recipient and donor and post-transplant donor specific antibodies (DSA) has never been explored. DSA can lead to antibody-mediated rejection and are associated with worse outcomes. Objective: to determine the association between HLA-G single nucleotide polymorphisms (SNPs) in the recipient and donor and DSA. Methods: 251 adult heart recipients and 196 matching donors were evaluated for various HLA-G SNPs. Serum from patient and donor were tested for positive presence of HLA Class I antibodies. DNA was genotyped for 14bp INDEL, G*01:01, G*01:04 and G*0:05N. The analysis was performed first in univariable regression models and then in multivariable regression model using a backward selection approach of potential risk factors with a univariable associations with p-value <0.10. The model automatically included time since transplantation as an obligatory covariate. Results: General characteristics: recipient age 48.2±12.1 years, 69% males and donor age 35.5±14.3 years. Of those, 19 (8%) had at least one positive DSA diagnosis. In a multivariable analysis adjusted for time since transplant, documented non-compliance and blood group A, the presence of donor G*01:04 allele was identified with a protective role for the development of DSA (0.079, CI 0.02-0.39, p= 0.002). Patient allele G*01:05N was associated with increased risk for DSA (12.95, CI 2.36-71.00, p= 0.003). Lastly, donor SNP 14bp (DEL vs INDEL/INS) was independently associated as a risk factor for DSA (5.75, CI 1.70-19.36, p= 0.005). Conclusions: Three SNPs from the donor and recipient were identified to influence the development of donor specific antibodies. This is the first study to investigate the association of HLA-G to the development of donor specific antibodies and to demonstrate both detrimental and beneficial roles for HLA-G polymorphisms.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".