In Journal of the American Society of Nephrology : JASN
Background: Donor-specific HLA antibody (DSA) is present in many kidney transplant patients whose biopsies are classified as no-rejection (NR). We explored whether in some NR kidneys DSA has subtle effects that are not currently being recognized. Methods: We used microarrays to examine the relationship between standard-of-care DSA and rejection-related transcript increases in 1679 kidney transplant indication biopsies in the INTERCOMEX study (ClinicalTrials.gov NCT01299168), focusing on biopsies classified as NR by automatically assigned archetypal clustering. DSA testing results were available for 835 NR biopsies and were positive in 271 (32%). Results: DSA-positivity in NR biopsies was associated with mildly increased expression of ABMR-related transcripts, particularly IFNG-inducible and NK cell transcripts. We developed a machine learning DSA probability (DSAProb) classifier based on transcript expression in biopsies from DSA-positive vs. DSA-negative patients, assigning scores using 10-fold cross-validation. This DSAProb classifier was very similar to a previously described "ABMR probability" classifier trained on histologic ABMR in transcript associations and prediction of molecular or histologic ABMR. Plotting the biopsies using Uniform Manifold Approximation and Projection revealed a gradient of increasing molecular ABMR-like transcript expression in NR biopsies, associated with increased DSA (P<2E-16). In biopsies with no molecular or histologic rejection, increased DSAProb or ABMR probability scores were associated with increased risk of kidney failure over three years. Conclusions: Many biopsies currently considered to have no molecular or histologic rejection have mild increases in expression of ABMR-related transcripts, associated with increasing frequency of DSA. Thus mild molecular ABMR-related pathology is more common than previously realized.
Madill-Thomsen Katelynn, Boehmig Georg, Bromberg Jonathan, Einecke Gunilla, Eskandary Farsad, Gupta Gaurav, Hidalgo Luis, Myslak Marek, Viklicky Ondrej, Perkowska-Ptasinska Agnieszka, Halloran Philip