Identifying patients at lower risk for kidney transplant rejection
A new risk stratification model developed by Northwestern Medicine scientists may help identify patients at lower risk of kidney transplant rejection, informing more personalized treatment and care strategies with fewer adverse side effects, as detailed in a recent study published in Nature Communications.
A new risk stratification model developed by Northwestern Medicine scientists could help identify patients at lower risk of kidney transplant rejection, leading to more personalized treatment strategies with fewer adverse side effects. The study, published in Nature Communications, analyzed data from over 3,000 kidney transplant recipients at five transplant centers across the U.S., Belgium, the Netherlands, and Spain.
The researchers found that HLA-DQ alleles form two evolutionarily distinct groups, with mismatches between these groups increasing the risk of de novo donor-specific antibodies. The scientists further divided these alleles into six functional groups, developing a qualitative risk stratification model. This model can help identify patients at lower risk of transplant rejection and determine which patients may benefit from less intensive post-transplant immunosuppressive medication, reducing severe side effects.
The scientists aim to validate their model using patient data from different geographic areas, offering a practical tool for clinical decision-making in transplantation.
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