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Management of allergy transfer upon solid organ transplantation.

Yannick D MullerJulien VionnetFranziska BeyelerPhilippe EigenmannJean-Christoph CaubetJean VillardThierry BerneyKathrin SchererFrancois SpertiniMichael P FrickerClaudia LangPeter Schmid-GrendelmeierChristian BendenPascale Roux LombardVincent AubertFranz ImmerManuel PascualThomas Harrnull null
Published in: American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons (2019)
Allergy transfer upon solid organ transplantation has been reported in the literature, although only few data are available as to the frequency, significance, and management of these cases. Based on a review of 577 consecutive deceased donors from the Swisstransplant Donor-Registry, 3 cases (0.5%) of fatal anaphylaxis were identified, 2 because of peanut and 1 of wasp allergy. The sera of all 3 donors and their 10 paired recipients, prospectively collected before and after transplantation for the Swiss Transplant Cohort Study, were retrospectively processed using a commercial protein microarray fluorescent test. As early as 5 days posttransplantation, newly acquired peanut-specific IgE were transiently detected from 1 donor to 3 recipients, of whom 1 liver and lung recipients developed grade III anaphylaxis. Yet, to define how allergy testing should be performed in transplant recipients and to better understand the impact of immunosuppressive therapy on IgE sensitization, we prospectively studied 5 atopic living-donor kidney recipients. All pollen-specific IgE and >90% of skin prick tests remained positive 7 days and 3 months after transplantation, indicating that early diagnosis of donor-derived IgE sensitization is possible. Importantly, we propose recommendations with respect to safety for recipients undergoing solid-organ transplantation from donors with a history of fatal anaphylaxis.
Keyphrases
  • kidney transplantation
  • atopic dermatitis
  • cell therapy
  • systematic review
  • infectious diseases
  • bone marrow
  • mesenchymal stem cells
  • artificial intelligence
  • deep learning