Case Report: Emergence of de novo Donor-Specific HLA antibodies post Pneumococcal & Varicella Zoster Vaccinations in Waitlisted Renal Transplant Candidate
Bibliographic record
Abstract
Abstract Introduction/Objective In renal transplant waitlisted patients, vaccination series remains to be the standard of care for infection prevention. There is a need to investigate if any of these vaccines or their adjuvant components can induce de novo donor-specific antibodies (dnDSA) against human leukocyte antigens (HLA). These novel anti-HLA antibodies in renal transplant waitlisted patients can result in a positive flow cell crossmatch (FCXM) associated with an increased risk of renal transplant rejection. Methods/Case Report We present a 59-year-old renal transplant waitlisted patient who has had multiple negative T- cell and B-cell FCXM with no detection of dnDSA at baseline. We detected de-novo anti-HLA antibodies after he received pneumococcal conjugate (Pneum-C-13) and recombinant zoster vaccine (RZV). After vaccination, FCXM was positive for both T-cells and B-cells. HLA class I antibodies (A1, 23, 24, 80; B44, 45, 76) showed a panel reactive antibody (PRA) of 51%. Epitope analysis highlighted 166DG and 166ES as shared epitopes responsible for the entire specificity. The A1 dn-DSA had a mean fluorescence intensity (MFI) of 1800 and with shared A80 epitope MFI was 15,000 contributing to the strong positivity observed in T-cell and B-cell FCXM. New onset A1, and B44 DSA predicted high risk for transplant rejection with his sibling. His planned live donor renal transplant was halted and had to instead enter the kidney-paired donor program wherein he received his transplantation after 16 months. Results (if a Case Study enter NA) NA Conclusion Allosensitization risk secondary to RZV or Pneum-C-13 vaccines or their adjuvant components in renal transplant waitlisted patients must be considered as a potential risk for transplant rejection. Future studies can utilize monitoring of HLA-specific memory B-cells to provide crucial insights into the primary mechanism of action of dn-DSA anti-HLA antibody formation and suggest interventions to mitigate this memory B-cell activation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".