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. 2023 Oct 13:36:11507.
doi: 10.3389/ti.2023.11507. eCollection 2023.

Assessment of Donor Derived Cell Free DNA (dd-cfDNA) at Surveillance and at Clinical Suspicion of Acute Rejection in Renal Transplantation

Affiliations

Assessment of Donor Derived Cell Free DNA (dd-cfDNA) at Surveillance and at Clinical Suspicion of Acute Rejection in Renal Transplantation

Evangelos Mantios et al. Transpl Int. .

Abstract

In our prospective, unicenter cohort study, we collected blood samples from 30 newly kidney transplanted patients, at month 1, 2, 3, and 5 for dd-cfDNA analysis, along with creatinine/eGFR and DSA monitoring, and from 32 patients who underwent an indication biopsy and whose dd-cfDNA levels were measured at the time of biopsy and 1 month afterwards. Fourteen of 32 (43.8%) patients in the biopsy group were diagnosed with TCMR and 5 of 32 (15.6%) with ABMR. Dd-cfDNA proved to be better than creatinine in diagnosing rejection from non-rejection in patients who were biopsied. When a dd-cfDNA threshold of 0.5% was chosen, sensitivity was 73.7% and specificity was 92.3% (AUC: 0.804, 0.646-0.961). In rejection patients, levels of dd-cfDNA prior to biopsy (0.94%, 0.3-2.0) decreased substantially after initiation of treatment with median returning to baseline already at 1 month (0.33%, 0.21-0.51, p = 0.0036). In the surveillance group, high levels of dd-cfDNA (>0.5%) from second month post-transplantation were correlated with non-increasing eGFR 1 year post-transplantation. The study used AlloSeq kit for kidney transplant surveillance for first time and confirmed dd-cfDNA's ability to detect rejection and monitor treatment, as well as to predict worse long-term outcomes regarding eGFR.

Keywords: biomarker; dd-cfDNA; kidney allograft; rejection; transplantation.

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Conflict of interest statement

The study received a grant from CareDx and Genotypos-Bioanalytica. SC has an affiliation with CareDx. PC has an affiliation with Genotypos-Bioanalytica. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Box and whisker plot and ROC analysis showing the median donor-derived cell-free DNA (dd-cfDNA) and creatinine levels observed in patients with and without allograft rejection. (A) Box and whisker plot for dd-cfDNA (left) showing a median of 0.24% seen in patients with no rejection and 0.94% in patients with allograft rejection; p = 0.004. Box and whisker plot for creatinine (right) with a median creatinine of 2.15 mg/dL in patients with no rejection versus 2.45 mg/dL in patients with allograft rejection; p = 0.3. (B) The ROC analysis for dd-cfDNA: area under the receiver-operating characteristic curve (AUROC) 0.804. The ROC analysis for creatinine: AUROC 0.609.
FIGURE 2
FIGURE 2
The dd-cfDNA kinetics with anti-rejection treatment. Total of 15 patients with biopsy and rejection [antibody-mediated rejection (ABMR) or T-cell mediated rejection (TCMR)]. Values shown are at month 0 (time of biopsy and diagnosis), and at 1 and 2 months (after rejection treatment was initiated). For the sake of clarity, four patients with high levels of dd-cfDNA (>2.0%) were excluded from the graph presented. Each diamond represents a biopsy specimen.
FIGURE 3
FIGURE 3
Two-way repeated-measures ANOVA performed to examine the effect of group (newly transplanted patients were grouped according to the percentage of dd-cfDNA and the number of measurements) and time on the eGFR revealed non-significant main effect of group (p = 0.2235), non-significant main effect of time (p = 0.2008) and non-significant interaction between factors (the effects of group and time on eGFR) (p = 0.0652). In more detail, the analysis determined that the mean value of eGFR has not been significantly different between the groups and the timepoints. A difference of the mean value of eGFR between the timepoints was observed only for those with dd-cfDNA < 0.5% (p = 0.004). The two-way repeated-measures ANOVA analysis with the Greenhouse-Geisser correction (performed to check if the data do not meet the compound symmetry assumption) confirmed the previous estimates.
FIGURE 4
FIGURE 4
The two-way repeated-measures ANOVA that was run to examine the effect of group (newly transplanted patients and newly transplanted patients who had experienced biopsy) and time on the dd-cfDNA revealed non-significant main effect of group (p = 0.5480), a significant main effect of time [F (1, 36) = 5.72, p = 0.0221] and non-significant interaction between factors (the effects of group and time on dd-cfDNA) (p = 0.3083). In more detail, the analysis determined that the mean value of dd-cfDNA has not been significantly different between the groups, but has been significantly different between the timepoints (month 1 and 2). The difference of the dd-cfDNA between the timepoints was observed mainly for the newly transplanted patients (p = 0.001). The two-way repeated-measures ANOVA analysis with the Greenhouse-Geisser correction confirmed the previous estimates.

Comment in

References

    1. Betjes MGH, Roelen DL, van Agteren M, Kal-van Gestel J. Causes of Kidney Graft Failure in a Cohort of Recipients With a Very Long-Time Follow-Up After Transplantation. Front Med (Lausanne) (2022) 9:9. 10.3389/fmed.2022.842419 - DOI - PMC - PubMed
    1. Sellarés J, de Freitas DG, Mengel M, Reeve J, Einecke G, Sis B, et al. Understanding the Causes of Kidney Transplant Failure: The Dominant Role of Antibody-Mediated Rejection and Nonadherence. Am J Transplant (2012) 12(2):388–99. 10.1111/j.1600-6143.2011.03840.x - DOI - PubMed
    1. Mehta R, Cherikh W, Sood P, Hariharan S. Kidney Allograft Surveillance Biopsy Practices Across US Transplant Centers: A UNOS Survey. Clin Transpl (2017) 31(5):e12945. 10.1111/ctr.12945 - DOI - PubMed
    1. Gupta G, Moinuddin I, Kamal L, King AL, Winstead R, Demehin M, et al. Correlation of Donor-Derived Cell-Free DNA With Histology and Molecular Diagnoses of Kidney Transplant Biopsies. Transplantation (2022) 106(5):1061–70. 10.1097/TP.0000000000003838 - DOI - PubMed
    1. Huang E, Sethi S, Peng A, Najjar R, Mirocha J, Haas M, et al. Early Clinical Experience Using Donor-Derived Cell-Free DNA to Detect Rejection in Kidney Transplant Recipients. Am J Transplant (2019) 19(6):1663–70. 10.1111/ajt.15289 - DOI - PubMed