Literature DB >> 35368988

Donor-derived Cell-free DNA as a Graft Injury Marker Following Kidney Transplantation.

Ryan Lane1, Jing Nie2, Liise K Kayler1,3,4.   

Abstract

Entities:  

Year:  2022        PMID: 35368988      PMCID: PMC8966958          DOI: 10.1097/TXD.0000000000001301

Source DB:  PubMed          Journal:  Transplant Direct        ISSN: 2373-8731


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Initial poor graft function after kidney transplantation (KTX) is commonly because of ischemia-reperfusion injury and may later manifest as premature graft loss.[1] The time frame of the ultimate outcome varies, and no biomarkers exist that risk stratify patients who are more likely to experience inferior graft outcomes. Donor-derived cell-free DNA (dd-cfDNA) is a molecular marker of active graft injury and may be valuable to predict the extent of tissue damage. Higher plasma fractions have been seen in recipients of deceased-donor compared with living-donor grafts within day 1[2] and day 5[3] post-KTX, presumably because of ischemia-reperfusion damage. To examine the clinical validity of dd-cfDNA as a graft injury sensor, a retrospective study of all adults who underwent deceased-donor KTX between February 2019 and March 2020 at our center (n = 135) and with surveillance dd-cfDNA (AlloSure, CareDx, Brisbane, CA) at post-KTX days 14 to 37 (n = 71) was conducted. None had detectable preformed donor-specific antibody, defined as mean fluorescence intensity >1500 by Luminex assay. Follow-up was 1 y minimum. Basic immunosuppressive regimens were used and typically consisted of induction with antithymocyte globulin and corticosteroids (variable withdrawal posttransplant), and maintenance therapy with tacrolimus and mycophenolate sodium. Graft biopsies were performed for cause. Using SAS V.9.4 (SAS Institute Inc., Cary, NC), comparisons between low (≤0.5%) and elevated (>0.5%) dd-cfDNA groupings were statistically evaluated via chi-square test for categorical variables, Wilcoxon rank-sum test for continuous variables, and log-rank test for time to all-cause graft survival. The institution review board approved this study. The dd-cfDNA fraction was low in 33 recipients and elevated in 38. Donor and recipient characteristics were not significantly different between the groups, other than body mass index, where patients with lower dd-cfDNA measurements tended to have higher body mass index (Table 1). Elevated levels of dd-cfDNA did not differentiate outcomes of posttransplant (1) dialysis requirement in the first week, (2) days to serum creatinine <3 mg/dL, (3) 1-y estimated glomerular filtration rate ≤40 mL/min/1.73, (4) 90-d acute rejection, (5) 90-d donor-specific antibody, or (6) time to all-cause graft survival (P = 0.726). Acute rejection frequency and severity were greater in the dd-cfDNA >0.5% group.
TABLE 1.

Donor, recipient, and outcome data by dd-cfDNA group

CharacteristicMedian (interquartile range) or N (%) P
dd-cfDNA ≤0.5 (n = 33)dd-cfDNA >0.5 (n = 38)
DonorPosttransplant day of dd-cfDNA detection30 (5)27 (6)0.009
Donor age, y36 (15)41 (23)0.836
Donor kidney function0.501
 Terminal serum creatinine <2 mg/dL25 (76.0)24 (63.2)
 Terminal serum creatinine ≥2 mg/dL6 (18.8)9 (23.7)
 Acute dialysis2 (6.3)5 (13.2)
DCD16 (48.5)16 (42.1)0.590
Cold ischemia time ≥30 h16 (48.5)18 (47.4)0.925
RecipientRecipient age, y54 (16)55 (22)0.327
Recipient Black race11 (33.3)16 (42.1)0.448
Recipient male23 (69.7)27 (71.1)0.901
Recipient diabetes18 (54.5)16 (42.1)0.295
Recipient pretransplant chronic dialysis27 (81.8)29 (76.3)0.571
Recipient CPRA >0%22 (35.5)13 (29.0)0.217
Recipient HLA mismatch >324 (72.7)30 (78.9)0.540
Recipient de novo kidney transplant30 (90.9)34 (89.5)0.840
Recipient BMI, kg/m234 (9)28 (6)0.001
Recipient transplant ureteral stent placed2 (6.1)4 (10.5)0.679a
Recipient EPTS 1%–20%7 (21.2)9 (23.7)0.851
Recipient EPTS 21%–80%22 (66.7)23 (60.5)
Recipient EPTS 81%–100%4 (12.1)6 (15.8)
OutcomePosttransplant dialysis within 1 wk (DGF)24 (72.7)25 (65.8)0.528
Posttransplant <5 d to serum creatinine <3 mg/dL4 (12.5)6 (16.7)0.674
Posttransplant 5–17 d to serum creatinine <3 mg/dL11 (34.4)9 (25.0)
Posttransplant >17 d to serum creatinine <3 mg/dL17 (53.1)21 (58.3)
Posttransplant 1-y eGFRb ≤40 mL/min/1.7329 (28.1)10 (29.4)0.908a
Posttransplant 90-d acute rejectionc2 (6.1)5 (13.2)0.438a
 Borderline lesion2 (d26–d33)1 (d19)
 Acute cellular rejection Banff 1a03 (d22–d23–d30)
 Acute cellular rejection Banff 2a01 (d28)
Posttransplant 90-d donor-specific antibody1 (3.0)1(2.6)1.000a

Fisher exact test.

eGFR (CKD-EPI) = 141 × min (SCr/κ, 1)α × max (SCr/κ, 1)− 1.209 × 0.993Age × 1.018 (if female) × 1.159 (if Black).

Acute rejection was defined using Banff schema and included borderline lesions (indicates days to rejection post–kidney transplantation).

BMI, body mass index; CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration; CPRA, calculated panel reactive antibody; DCD, donation after circulatory death; dd-cfDNA, donor-derived cell-free DNA; DGF, delayed graft function; eGFR, estimated glomerular filtration rate; EPTS, estimated posttransplant survival; SCr, serum creatinine.

Donor, recipient, and outcome data by dd-cfDNA group Fisher exact test. eGFR (CKD-EPI) = 141 × min (SCr/κ, 1)α × max (SCr/κ, 1)− 1.209 × 0.993Age × 1.018 (if female) × 1.159 (if Black). Acute rejection was defined using Banff schema and included borderline lesions (indicates days to rejection post–kidney transplantation). BMI, body mass index; CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration; CPRA, calculated panel reactive antibody; DCD, donation after circulatory death; dd-cfDNA, donor-derived cell-free DNA; DGF, delayed graft function; eGFR, estimated glomerular filtration rate; EPTS, estimated posttransplant survival; SCr, serum creatinine. A study limitation is potential ascertainment bias because patients with delayed graft function were more likely to have dd-cfDNA obtained. Also, the small sample and single-center experience limit generalizability but do reflect real-world experience. Our cutoff level may lack discriminatory value because mean dd-cfDNA has been shown to stabilize at 0.35%[4] or 0.46%[2] after transplantation. In deceased-donor KTX recipients with dd-cfDNA obtained post-KTX day 14 to 37, we found that dd-cfDNA ≥0.5% was not associated with early graft outcomes. The null result may be because of low power of the study to detect differences. The doubling of acute rejection and greater severity of rejection seen in the dd-cfDNA ≥0.5% group suggests that further work is warranted. Considering a higher demarcation (0.74% or 1%) as is used for defining rejection may be more clinically useful to identify active ischemia-reperfusion injury.[5,6] Additionally, absolute quantification of dd-cfDNA[3] or higher baseline levels throughout the early posttransplant course[2] may yield superior discrimination of graft injury.
  6 in total

1.  The impact of kidney donor profile index on delayed graft function and transplant outcomes: A single-center analysis.

Authors:  Tiffany J Zens; Juan S Danobeitia; Glen Leverson; Peter J Chlebeck; Laura J Zitur; Robert R Redfield; Anthony M D'Alessandro; Scott Odorico; Dixon B Kaufman; Luis A Fernandez
Journal:  Clin Transplant       Date:  2018-03       Impact factor: 2.863

2.  Cell-Free DNA and Active Rejection in Kidney Allografts.

Authors:  Roy D Bloom; Jonathan S Bromberg; Emilio D Poggio; Suphamai Bunnapradist; Anthony J Langone; Puneet Sood; Arthur J Matas; Shikha Mehta; Roslyn B Mannon; Asif Sharfuddin; Bernard Fischbach; Mohanram Narayanan; Stanley C Jordan; David Cohen; Matthew R Weir; David Hiller; Preethi Prasad; Robert N Woodward; Marica Grskovic; John J Sninsky; James P Yee; Daniel C Brennan
Journal:  J Am Soc Nephrol       Date:  2017-03-09       Impact factor: 10.121

3.  Biological Variation of Donor-Derived Cell-Free DNA in Renal Transplant Recipients: Clinical Implications.

Authors:  Jonathan S Bromberg; Daniel C Brennan; Emilio Poggio; Suphamai Bunnapradist; Anthony Langone; Puneet Sood; Arthur J Matas; Roslyn B Mannon; Shikha Mehta; Asif Sharfuddin; Bernard Fischbach; Mohanram Narayanan; Stanley C Jordan; David J Cohen; Ziad S Zaky; David Hiller; Robert N Woodward; Marica Grskovic; John J Sninsky; James P Yee; Roy D Bloom
Journal:  J Appl Lab Med       Date:  2017-11-01

4.  Early clinical experience using donor-derived cell-free DNA to detect rejection in kidney transplant recipients.

Authors:  Edmund Huang; Supreet Sethi; Alice Peng; Reiad Najjar; James Mirocha; Mark Haas; Ashley Vo; Stanley C Jordan
Journal:  Am J Transplant       Date:  2019-03-29       Impact factor: 8.086

5.  Plasma donor-derived cell-free DNA kinetics after kidney transplantation using a single tube multiplex PCR assay.

Authors:  Els M Gielis; Charlie Beirnaert; Amélie Dendooven; Pieter Meysman; Kris Laukens; Joachim De Schrijver; Steven Van Laecke; Wim Van Biesen; Marie-Paule Emonds; Benedicte Y De Winter; Jean-Louis Bosmans; Jurgen Del Favero; Daniel Abramowicz; Kristien J Ledeganck
Journal:  PLoS One       Date:  2018-12-06       Impact factor: 3.240

6.  Absolute quantification of donor-derived cell-free DNA as a marker of rejection and graft injury in kidney transplantation: Results from a prospective observational study.

Authors:  Michael Oellerich; Maria Shipkova; Thomas Asendorf; Philip D Walson; Verena Schauerte; Nina Mettenmeyer; Mariana Kabakchiev; Georg Hasche; Hermann-Josef Gröne; Tim Friede; Eberhard Wieland; Vedat Schwenger; Ekkehard Schütz; Julia Beck
Journal:  Am J Transplant       Date:  2019-05-28       Impact factor: 8.086

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