Donor-derived cell-free DNA can discriminate acute rejection types after kidney transplantation

Cheng Yamei, Guo Luying, Lei Wenhua, Lyu Junhao, Yan Pengpeng, Shen Jia, Wang Meifang, Zhou Qin, Wang Huiping, Chen Jianghua, Wang Rending

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Chinese Journal of Nephrology ›› 2022, Vol. 38 ›› Issue (1) : 32-38. DOI: 10.3760/cma.j.cn441217-20210305-00006
Clinical Study

Donor-derived cell-free DNA can discriminate acute rejection types after kidney transplantation

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Abstract

Objective To explore the value of detecting plasma donor-derived free DNA (dd-cfDNA) fraction in distinguishing antibody mediated-rejection (ABMR) and T cell-mediated rejection (TCMR) of renal allografts. Methods Patients with acute rejection confirmed by allograft biopsy in the First Affiliated Hospital of Medical College of Zhejiang University from December 1, 2017 to July 18, 2019 were retrospectively included. Based on pathological classification of Banff renal allograft rejection in 2017, the patients were divided into ABMR group and TCMR group, and the latter was subdivided into TCMRⅠsubgroup and TCMRⅡ subgroup. The second generation sequencing and target region capture were used to detect candidates' peripheral blood dd-cfDNA. The demographic and clinicopathological data of the two groups were compared. The receiver operating characteristic curve (ROC) was used to evaluate the differential value of plasma dd-cfDNA and serum creatinine levels in two kinds of acute renal allograft rejection. Results A total of 60 patients with acute rejection of renal transplantation were enrolled in this study, including 42 patients in TCMR group and 18 patients in ABMR group. The plasma dd-cfDNA percentage (%) in the ABMR group was significantly higher than that in the TCMR group [2.33(1.19, 4.30)% vs 0.98(0.50, 1.82)%, P=0.001]. The absolute value of dd-cfDNA in ABMR group was obviously higher than that in TCMR group [0.94(0.60, 2.27) ng/ml vs 0.43(0.20, 0.96) ng/ml, P=0.003]. ROC analysis to discriminate TCMR from ABMR showed that, the area under the curve (AUC) of dd-cfDNA% was 0.76(95%CI 0.64-0.88), when the threshold was 1.11%, the sensitivity and specificity were 88.89% and 59.52%, respectively; the AUC of absolute value of dd-cfDNA was 0.74(95%CI 0.61-0.86), when the threshold was 0.53 ng/ml, the sensitivity was 88.89% and the specificity was 54.76%. TCMR subgroups were further analyzed, there was no significant difference between TCMR subgroups on the absolute value and percentage of dd-cfDNA (both P>0.05); dd-cfDNA% in ABMR group was apparently higher than that in TCMRⅠ subgroups (P=0.008) and TCMRⅡsubgroup (P=0.030). The absolute value of dd-cfDNA in ABMR group was significantly higher than that in TCMRⅠsubgroups (P=0.003). Conclusion Plasma dd-cfDNA level may help to distinguish between ABMR and TCMR rejection.

Key words

Kidney transplantation / Graft rejection / Differentiation, diagnosis / Donor-derived cell-free DNA

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Cheng Yamei. , Guo Luying. , Lei Wenhua. , Lyu Junhao. , Yan Pengpeng. , Shen Jia. , Wang Meifang. , Zhou Qin. , Wang Huiping. , Chen Jianghua. , Wang Rending. Donor-derived cell-free DNA can discriminate acute rejection types after kidney transplantation[J]. Chinese Journal of Nephrology, 2022, 38(1): 32-38. DOI: 10.3760/cma.j.cn441217-20210305-00006.
肾移植术后急性排斥反应是移植物存活的主要影响因素[1-2]。穿刺活组织检查(活检)是鉴别移植肾T细胞介导的排斥反应(T cell-mediated rejection,TCMR)和抗体介导的排斥反应(antibody-mediated rejection,ABMR)的金标准,但活检为有创性检查,且存在潜在的并发症。目前尚缺乏特异性的生物标志物鉴别不同排斥类型导致的移植肾损伤。细胞游离 DNA(cell free DNA,cfDNA)是一种片段化的降解DNA,来源于凋亡[3-4]、坏死[5]的组织细胞,存在于血液、尿液等体液中。cfDNA半衰期为数分钟至1~2 h不等[6-11],能够反映即刻的体内细胞损伤[12-13]。动态分析移植受体血浆中供体细胞来源的cfDNA(donor-derived cell-free DNA,dd-cfDNA)的结果显示,移植肾急性排斥反应时血浆dd-cfDNA含量比其他生化指标升高更快[14-15]。血浆和尿液中的dd-cfDNA检测作为一种无创性移植肾急性排斥反应的诊断手段正受到越来越多学者们的关注[16-17],有望成为诊断实体器官移植后急性排斥反应的非侵入性新型生物学标志物。我们的前期研究发现,移植肾延迟复功的患者术后早期dd-cfDNA下降速率较慢,且术后早期dd-cfDNA下降后出现反跳往往预示排斥反应发生的可能[18]。本研究旨在探讨血浆dd-cfDNA检测在鉴别移植肾TCMR和ABMR中的价值,为鉴别诊断肾移植排斥反应提供临床决策的依据。

对象与方法

1. 研究对象与分组: 本研究为回顾性队列研究。研究对象来自2017年12月1日至2019年7月18日在浙江大学医学院附属第一医院接受过肾移植的患者,所有入选者经肾活检证实存在移植肾急性排斥反应。参照2017年Banff移植肾排斥反应病理分类诊断标准[19]将患者分为TCMR组和ABMR组,将TCMR组分为T细胞介导的Ⅰ型急性排斥反应(Banff IA/IB,TCMRⅠ型)亚组和T细胞介导的Ⅱ型急性排斥反应(BanffⅡA/ⅡB,TCMRⅡ型)亚组。本研究经浙江大学医学院附属第一医院伦理委员会批准(审批文号:2016-512),所有患者均已签署知情同意书。
2. 血浆dd-cfDNA检测: 血浆dd-cfDNA水平检测方法参照文献[18]。用cfDNA 专用采血管(美国Streck)采集外周血标本8 ml,1 600 g常温离心10 min,分离上清;再次16 000 g离心10 min,收集上清,获得的血浆作为待测样本。取适量血浆,用循环核酸试剂盒(德国QIAGEN,Cat. 55114)提取血浆总cfDNA,具体操作参照试剂盒说明书。取20~30 ng血浆cfDNA,使用KAPA LTP Library Preparation Kit(美国Kapa Biosystems)制备cfDNA文库,通过目标区域捕获得到待测文库,采用Illumine X-Ten或其他高通量测序平台进行测序,样本上机数据量为10 Mreads,片段大小选择178 bp。使用IIIumina sequencing analysis viewer v2.4.5软件分析数据的测序质量Q30碱基占比,如数据Q30碱基占比≥75%则质控通过。使用IIIumina公司的bcl2fastq v2.19软件将MiSeqDx测序生成的bcl文件转化成样本对应的fastq文件。使用分析系统的数据预处理模块(基于Trimmomatic-0.36软件),去除建库过程中引入的接头序列以及低质量碱基片段。基于bwa v0.7.10和GATK v3.2-2软件将fastq文件中的碱基序列比对至hg19(GRCh37)人类参考基因组上生成目标区域bam文件。用Samtools(-A-UV-t DP,AD)提取6 200个单核苷酸多肽性(single nucleotide polymorphism,SNP)位点信息。根据测序信息对6 200个SNP位点进行基因分型,筛选受体患者基因组中为纯合型的SNP位点作为有效SNP位点,并用二项分布模型计算cfDNA测序结果中每个有效SNP位点的异源信号比例。最后采用最大似然值法统计供体来源cfDNA定量比例(%);根据供体来源cfDNA的比例计算单位体积(ml)血浆中供体来源cfDNA的绝对含量(拷贝数/ml)。计算公式如下:ddcfDNA(拷贝数/ml)=(A×B)/6.6 ×1 000;A表示样本中供体来源cfDNA定量比例(%);B表示每毫升血浆中总cfDNA含量(ng/ml);6.6为单拷贝人基因组质量(pg)。
3. 统计学方法: 用SPSS 26.0和Graphpad Prism 8.3.0软件进行数据的统计学处理。符合正态分布的计量资料以x¯ ± s形式表示,采用t检验和One-way ANOVA检验比较两组和多组间的差异;不符合正态分布的计量资料采用MP25P75)形式表示,用Mann-Whitney U检验比较两组间差异,Kruskal-Wallis H检验比较多组间差异,并用Bonferroni校正法对P值进行校正。分类变量采用例数和比例表示,使用χ2检验比较两组间差异。采用受试者工作特征曲线(receiver operating characteristic curve,ROC曲线)评价血浆dd-cfDNA和血肌酐水平对ABMR与TCMR两种移植肾急性排斥反应的鉴别诊断价值,阈值选择的原则为约登指数最大,用曲线下面积(area under the curve,AUC)、敏感性和特异性对比dd-cfDNA百分比、绝对值和血肌酐在鉴别两种排异类型中的优劣。P<0.05视为差异具有统计学意义。

结果

1. 人口学和临床指标的比较: 共计60例移植肾急性排斥反应患者入选本研究,TCMR组42例和ABMR组18例。两组供受体的人口学和临床资料见表1。除移植手术至活检天数和群体反应性抗体(panel reactive antibodies,PRA)项目外,两组其他人口学和临床资料等项目的差异均无统计学意义(均P>0.05)。
表1 TCMR组与ABMR组供受体人口学和临床资料的比较
项目 TCMR组(n=42) ABMR组(n=18) aP bP
总体 TCMRⅠ型组(n=22) TCMRⅡ型组(n=20)
供体相关指标
年龄(岁,x¯± s) 46.55±11.75 47.05±12.00 46.00±11.76 42.61±13.54 0.515 0.292
血肌酐(μmol/L,x¯± s) 91.91±65.85 92.00±73.54 91.80±58.13 77.21±61.35 0.222 0.086
男性(例,比例) 29(29/42) 15(15/22) 14(14/20) 9(9/18) 0.371 0.161
心脏死亡供体(例,比例) 25(25/42) 11(11/22) 14(14/20) 6(6/18) 0.077 0.063
受者相关指标
年龄(岁,x¯± s) 37.79±10.31 37.27±11.71 38.35±8.80 31.56±11.22 0.120 0.053
男性(例,比例) 31(31/42) 16(16/22) 15(15/20) 14(14/18) 0.935 0.745
原发肾脏病(例,比例) 0.426 0.738
慢性肾炎 30(30/42) 13(13/22) 17(17/20) 14(14/18)
糖尿病肾病 2(2/42) 2(2/22) 0(0) 1(1/18)
多囊肾 1(1/42) 1(1/22) 0(0) 1(1/18)
高血压肾损害 2(2/42) 2(2/22) 0(0) 0(0)
紫癜性肾炎 1(1/42) 1(1/22) 0(0) 0(0)
狼疮肾炎 1(1/42) 1(1/22) 0(0) 0(0)
IgA肾病 4(4/42) 1(1/22) 3(3/20) 1(1/18)
肺出血-肾炎综合征 0(0) 0(0) 0(0) 1(1/18)
Alport综合征 1(1/42) 1(1/22) 0(0) 0(0)
透析方式(例,比例) 0.847 0.586
血液透析 29(29/42) 16(16/22) 13(13/20) 14(14/18)
腹膜透析 11(11/42) 5(5/22) 6(6/20) 4(4/18)
未透析 2(2/42) 1(1/22) 1(1/20) 0(0)
诱导治疗(例,比例) 0.557 0.811
巴利昔单抗 23(23/42) 11(11/22) 12(12/20) 11(11/18)
抗人胸腺细胞球蛋白 10(10/42) 4(4/22) 6(6/20) 4(4/18)
利妥昔单抗 2(2/42) 1(1/22) 1(1/20) 0(0)
未诱导 7(7/42) 6(6/22) 1(1/20) 3(3/18)
HLA-MM(x¯± s) 3.00±1.32 2.71±1.35 3.30±1.26 2.83±1.15 0.304 0.645
肾活检时PRA(+)(例,比例) 2(2/42) 2(2/22) 0(0) 16(16/18) <0.001 <0.001
手术至肾活检时间(d,x¯± s) 366.57±466.54 590.32±512.73 120.45±134.10 1 268.44±1 015.85 <0.001 <0.001
注:TCMR:移植肾T细胞介导的排斥反应;ABMR:抗体介导的排斥反应;aP为ABMR、TCMRⅠ型和TCMRⅡ型3组间比较结果;bP为ABMR组和TCMR组两组比较结果;HLA-MM:人类白细胞抗原错配;PRA:群体反应性抗体
2. Banff评分的比较:移植肾病理检查的Banff评分结果显示,TCMR组与ABMR组在肾小球炎、肾小管炎、动脉内膜炎和管周毛细血管炎等项目评分上的差异均有统计学意义(均P<0.05),在间质纤维化、肾小管萎缩和间质炎症评分上的差异均无统计学意义(均P>0.05),见表2
表2 TCMR组与ABMR组移植肾病理Banff评分的比较
项目 TCMR组
(n=42)
ABMR组
(n=18)
统计量 P
肾小球炎(例,比例) 16.323 <0.001
G0 28(28/42) 4(4/18)
G1 5(5/42) 0(0)
G2 3(3/42) 4(4/18)
G3 6(6/42) 10(10/18)
肾小管炎(例,比例) 10.719 0.010
T0 4(4/42) 5(5/18)
T1 5(5/42) 7(7/18)
T2 22(22/42) 4(4/18)
T3 11(11/42) 2(2/18)
动脉内膜炎(例,比例) 9.012 0.008
V0 21(21/42) 9(9/18)
V1 20(20/42) 4(4/18)
V2 1(1/42) 5(5/18)
V3 0(0) 0(0)
间质炎症(例,比例) 2.355 0.522
I0 3(3/42) 3(3/18)
I1 8(8/42) 4(4/18)
I2 16(16/42) 4(4/18)
I3 15(15/42) 7(7/18)
管周毛细血管炎(例,比例) 8.769 0.025
PTC0 25(25/42) 6(6/18)
PTC1 5(5/42) 1(1/18)
PTC2 3(3/42) 7(7/18)
PTC3 9(9/42) 4(4/18)
肾小管萎缩(例,比例) 0.625 0.957
CT0 4(4/42) 1(1/18)
CT1 28(28/42) 12(12/18)
CT2 7(7/42) 4(4/18)
CT3 3(3/42) 1(1/18)
间质纤维化(例,比例) 1.017 0.845
CI0 11(11/42) 4(4/18)
CI1 11(11/42) 7(7/18)
CI2 12(12/42) 4(4/18)
CI3 8(8/42) 3(3/18)
注:TCMR:移植肾T细胞介导的排斥反应;ABMR:抗体介导的排斥反应
3. 血浆dd-cfDNA水平的比较: ABMR组患者血浆dd-cfDNA百分比较TCMR组显著升高,差异有统计学意义[2.33(1.19,4.30)%比0.98(0.50,1.82)%,P=0.001]。 ABMR组患者血浆dd-cfDNA绝对值较TCMR组亦显著升高,差异有统计学意义[0.94(0.60,2.27)ng/ml比0.43(0.20,0.96)ng/ml,P=0.003]。两组患者血肌酐的差异无统计学意义[224.50(157.75,369.00)μmol/L比191.00(161.25,251.00)μmol/L,P=0.589]。见图1
图1 TCMR组与ABMR组患者血浆dd-cfDNA、血肌酐水平的比较
注:TCMR:移植肾T细胞介导的排斥反应;ABMR:抗体介导的排斥反应;与TCMR组比较,aP<0.01;与TCMR组比较,bP=0.589

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4. 血浆dd-cfDNA水平在鉴别两种移植肾急性排斥反应中的价值: ROC曲线分析结果显示,血浆dd-cfDNA百分比鉴别TCMR和ABMR的AUC为0.76(95%CI 0.64~0.88),阈值为1.11%,敏感性88.89%,特异性59.52%;dd-cfDNA绝对值鉴别TCMR和ABMR的AUC为0.74(95%CI 0.61~0.86),阈值为0.53 ng/ml时,敏感性88.89%,特异性54.76%;血肌酐鉴别TCMR和ABMR的AUC为0.55(95%CI 0.37~0.72),阈值为262.50 μmol/L时,敏感性44.44%,特异性80.95%。提示在鉴别诊断ABMR和TCMR两种不同的急性排斥反应时,dd-cfDNA百分比比血肌酐有更高的敏感性。见图2
图2 血浆dd-cfDNA和血肌酐鉴别诊断ABMR与TCMR的ROC曲线
注:TCMR:移植肾T细胞介导的排斥反应;ABMR:抗体介导的排斥反应

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5. TCMR亚组与ABMR组血浆dd-cfDNA水平的比较: TCMRⅡ型亚组dd-cfDNA百分比高于TCMRⅠ型亚组,但差异无统计学意义[1.06(0.49,1.87)%比0.83(0.50,1.87)%,P>0.05];TCMRⅡ型亚组 dd-cfDNA绝对值水平高于TCMRⅠ型亚组,但差异亦无统计学意义[0.61(0.30,1.34)ng/ml比0.30(0.16,0.74)ng/ml,P=0.340]。ABMR组dd-cfDNA百分比显著高于TCMRⅠ型亚组[2.33(1.19,4.30)%比0.83(0.50,1.87)%,P=0.008]和TCMRⅡ型亚组[2.33(1.19,4.30)%比1.06(0.49,1.87)%,P=0.030]。ABMR组dd-cfDNA绝对值显著高于TCMRⅠ型亚组[0.94(0.60,2.27)ng/ml比0.30(0.16,0.74)ng/ml,P=0.003],与TCMRⅡ型亚组比较差异无统计学意义[0.94(0.60,2.27)ng/ml比0.61(0.30,1.34)ng/ml,P=0.263]。TCMRⅠ型亚组、TCMRⅡ型亚组和ABMR组3组间血肌酐水平的差异无统计学意义[179.50(161.00,236.80)μmol/L比212.50(160.30,305.30)μmol/L比224.50(157.80,369.00)μmol/L,P=0.660],见图3
图3 TCMR亚组、ABMR组患者血浆dd-cfDNA与血肌酐水平的比较
注:TCMR:移植肾T细胞介导的排斥反应;ABMR:抗体介导的排斥反应;与TCMRⅠ型组比较,aP<0.01;与TCMRⅡ型组比较,bP<0.05

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讨论

我们通过分析肾移植受体血浆中dd-cfDNA水平与两种急性排斥反应类型之间的关系,比较dd-cfDNA百分比、dd-cfDNA绝对值及血肌酐水平在鉴别两种移植肾急性排斥反应的价值。ABMR组患者血浆dd-cfDNA百分比和绝对值水平显著高于TCMR组患者。亚组分析结果显示,ABMR组患者dd-cfDNA百分比和绝对值水平显著高于TCMRⅠ型亚组;ABMR组dd-cfDNA百分比高于TCMRⅡ型亚组,但绝对值与TCMRⅡ型亚组的差异无统计学意义;TCMRⅡ型亚组的dd-cfDNA百分比和绝对值均较TCMRⅠ型亚组高,但差异未达统计学意义。dd-cfDNA百分比和绝对值比血肌酐有更高的鉴别两种移植肾急性排斥反应的价值。
已有的研究结果表明,肾移植后急性排斥反应时dd-cfDNA百分比升高[15,20-22],特别是ABMR和高级别的TCMR(>IA)[20,23]。但是目前的研究结果对是否可以通过检测血浆dd-cfDNA水平区分ABMR和TCMR尚无定论[22]。本研究结果显示,ABMR组与TCMR组dd-cfDNA百分比和绝对值的差异均有统计学意义,与以往学者的结果一致[20,24]。 本研究结果显示,TCMRⅡ型患者血浆dd-cfDNA百分比和绝对值较TCMRⅠ型患者高,但差异无统计学意义。Bloom等[20]也发现在严重的TCMR类型中,dd-cfDNA百分比较高,可能因为dd-cfDNA与损伤部位有关。TCMRⅡ型排斥反应发生在血管内膜层,损伤的细胞可直接入血;而TCMRⅠ型排斥反应发生在肾小管和肾间质,供体来源的DNA片段入血需要从小管或间质转移入血。同时我们还发现ABMR与TCMRⅠ型组间血浆dd-cfDNA水平的差异较ABMR与TCMRⅡ型组间的差异大。ABMR组患者血浆dd-cfDNA水平较TCMR组更高的原因之一是ABMR涉及抗体与同种异体血管内皮之间的相互作用,而TCMRⅠ型排斥反应时血管参与较少。当病变涉及移植肾血管而不是肾小管时,可能导致dd-cfDNA从受损的细胞和组织更多地释放到循环中,从而在血液中检测到更高水平的dd-cfDNA[22]。因此,当两种不同病理类型损伤程度相近时,损伤涉及血管内皮细胞越多,释放到血液中的dd-cfDNA较多。此外,我们还发现ABMR组和TCMRⅡ型组患者的dd-cfDNA百分比水平存在差异,且较绝对值的差异更大。据此我们认为在区分不同病理类型但损伤程度相近的急性排斥反应时,dd-cfDNA百分比可能较绝对值更有优势,有更高的诊断价值。Whitlam等[23]认为在诊断排斥反应时,dd-cfDNA百分比较绝对值有更高的诊断价值。肾移植患者血浆dd-cfDNA检测在不同病理类型中有着不同的敏感性和特异性,但总体上对ABMR显示出更高的敏感性[25]。因此,当缺乏ABMR抗体及免疫标志物的病理诊断时,dd-cfDNA百分比有望成为诊断ABMR的新型分子标志物。
本研究尚存在以下不足之处:(1)仅纳入了有肾活检指证的急性排斥反应患者,且没有设无排斥反应对照组;(2)ABMR组和TCMR组肾移植至活检时间存在差异,可能导致dd-cfDNA检测结果的差异。
综上,血浆dd-cfDNA检测对鉴别诊断ABMR和TCMR两种排斥反应有辅助价值,dd-cfDNA有望成为鉴别两种排斥反应的新型分子标志物。

References

[1]
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Kidney allografts are frequently lost due to alloimmunity. Still, the impact of early acute rejection (AR) on long-term graft survival is debated. We examined this relationship focusing on graft histology post-AR and assessing specific causes of graft loss. Included are 797 recipients without anti-donor antibodies (DSA) at transplant who had 1 year protocol biopsies. 15.2% of recipients had AR diagnosed by protocol or clinical biopsies. Compared to no-AR, all histologic types of AR led to abnormal histology in 1 and 2 years protocol biopsies, including more fibrosis + inflammation (6.3% vs. 21.9%), moderate/severe fibrosis (7.7% vs. 13.5%) and transplant glomerulopathy (1.4% vs. 8.3%, all p < 0.0001). AR were associated with reduced graft survival (HR = 3.07 (1.92-4.94), p < 0.0001). However, only those AR episodes followed by abnormal histology led to reduced graft survival. Early AR related to more late alloimmune-mediated graft losses, particularly transplant glomerulopathy (31% of losses). Related to this outcome, recipients with AR were more likely to have new DSA class II 1 year posttransplant (no-AR, 11.1%; AR, 21.2%, p = 0.039). In DSA negative recipients, early AR often leads to persistent graft inflammation and increases the risk of new DSA II production. Both of these post-AR events are associated with increased risk of graft loss.© Copyright 2013 The American Society of Transplantation and the American Society of Transplant Surgeons.
[2]
Lefaucheur C, Loupy A, Vernerey D, et al. Antibody-mediated vascular rejection of kidney allografts: a population-based study[J]. Lancet, 2013, 381(9863): 313-319. DOI: 10.1016/s0140-6736(12)61265-3.
Rejection of allografts has always been the major obstacle to transplantation success. We aimed to improve characterisation of different kidney-allograft rejection phenotypes, identify how each one is associated with anti-HLA antibodies, and investigate their distinct prognoses.Patients who underwent ABO-compatible kidney transplantations in Necker Hospital and Saint-Louis Hospital (Paris, France) between Jan 1, 1998, and Dec 31, 2008, were included in our population-based study. We assessed patients who provided biopsy samples for acute allograft rejection, which was defined as the association of deterioration in function and histopathological lesions. The main outcome was kidney allograft loss-ie, return to dialysis. To investigate distinct rejection patterns, we retrospectively assessed rejection episodes with review of graft histology, C4d in allograft biopsies, and donor-specific anti-HLA antibodies.2079 patients were included in the main analyses, of whom 302 (15%) had acute biopsy-proven rejection. We identified four distinct patterns of kidney allograft rejection: T cell-mediated vascular rejection (26 patients [9%]), antibody-mediated vascular rejection (64 [21%]), T cell-mediated rejection without vasculitis (139 [46%]), and antibody-mediated rejection without vasculitis (73 [24%]). Risk of graft loss was 9·07 times (95 CI 3·62-19·7) higher in antibody-mediated vascular rejection than in T cell-mediated rejection without vasculitis (p<0·0001), compared with an increase of 2·93 times (1·1-7·9; P=0·0237) in antibody-mediated rejection without vasculitis and no significant rise in T cell-mediated vascular rejection (hazard ratio [HR] 1·5, 95% CI 0·33-7·6; p=0·60).We have identified a type of kidney rejection not presently included in classifications: antibody-mediated vascular rejection. Recognition of this distinct phenotype could lead to the development of new treatment strategies that could salvage many kidney allografts.None.Copyright © 2013 Elsevier Ltd. All rights reserved.
[3]
van der Vaart M, Pretorius PJ. Characterization of circulating DNA in healthy human plasma[J]. Clin Chim Acta, 2008, 395(1-2): 186. DOI: 10.1016/j.cca.2008.05.006.
[4]
Zheng YW, Chan KC, Sun H, et al. Nonhematopoietically derived DNA is shorter than hematopoietically derived DNA in plasma: a transplantation model[J]. Clin Chem, 2012, 58(3): 549-558. DOI: 10.1373/clinchem.2011.169318.
Plasma DNA is predominantly hematopoietic in origin. The size difference between maternal- and fetal-derived DNA in maternal plasma prompted us to investigate whether there was any discrepancy in molecular size between hematopoietically and nonhematopoietically derived DNA in plasma.Plasma DNA samples from 6 hematopoietic stem cell transplant recipients and 1 liver transplant recipient were analyzed by massively parallel paired-end sequencing. The size of each fragment was deduced from the alignment positions of the paired reads. In sex-mismatched transplant recipients, the reads from chromosome Y were used as markers for the male donor/recipient. For other transplant recipients, the reads of the donor- and recipient-specific alleles were identified from the single-nucleotide polymorphism genotypes.In male patients receiving female hematopoietic stem cells, more chromosome Y-derived DNA molecules (nonhematopoietically derived) were ≤150 bp than the autosome-derived ones (mainly hematopoietically derived) (median difference, 9.9%). In other hematopoietic stem cell transplant recipients, more recipient-specific DNA molecules (nonhematopoietically derived) were ≤150 bp than the donor-specific ones (hematopoietically derived) (median difference, 14.8%). In the liver transplant recipient, more donor-derived DNA molecules (liver derived) were ≤150 bp than the recipient-derived ones (mainly hematopoietically derived) (difference, 13.4%). The nonhematopoietically derived DNA exhibited a reduction in a 166-bp peak compared with the hematopoietically derived DNA. A 10-bp periodicity in size distribution below approximately 143 bp was observed in both DNA populations.Massively parallel sequencing is a powerful tool for studying posttransplantation chimerism. Plasma DNA molecules exhibit a distinct fragmentation pattern, with the nonhematopoietically derived molecules being shorter than the hematopoietically derived ones.
[5]
Christie EL, Dawson SJ, Bowtell DD. Blood worth bottling: circulating tumor DNA as a cancer biomarker[J]. Cancer Res, 2016, 76(19): 5590-5591. DOI: 10.1158/0008-5472.CAN-16-2281.
[6]
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Fetal DNA has been detected in maternal plasma during pregnancy. We investigated the clearance of circulating fetal DNA after delivery, using quantitative PCR analysis of the sex-determining region Y gene as a marker for male fetuses. We analyzed plasma samples from 12 women 1-42 d after delivery of male babies and found that circulating fetal DNA was undetectable by day 1 after delivery. To obtain a higher time-resolution picture of fetal DNA clearance, we performed serial sampling of eight women, which indicated that most women (seven) had undetectable levels of circulating fetal DNA by 2 h postpartum. The mean half-life for circulating fetal DNA was 16.3 min (range 4-30 min). Plasma nucleases were found to account for only part of the clearance of plasma fetal DNA. The rapid turnover of circulating DNA suggests that plasma DNA analysis may be less susceptible to false-positive results, which result from carryover from previous pregnancies, than is the detection of fetal cells in maternal blood; also, rapid turnover may be useful for the monitoring of feto-maternal events with rapid dynamics. These results also may have implications for the study of other types of nonhost DNA in plasma, such as circulating tumor-derived and graft-derived DNA in oncology and transplant patients, respectively.
[7]
Celec P, Vlková B, Lauková L, et al. Cell-free DNA: the role in pathophysiology and as a biomarker in kidney diseases[J]. Expert Rev Mol Med, 2018, 20: e1. DOI: 10.1017/erm.2017.12.
Cell-free DNA (cfDNA) is present in various body fluids and originates mostly from blood cells. In specific conditions, circulating cfDNA might be derived from tumours, donor organs after transplantation or from the foetus during pregnancy. The analysis of cfDNA is mainly used for genetic analyses of the source tissue —tumour, foetus or for the early detection of graft rejection. It might serve also as a nonspecific biomarker of tissue damage in critical care medicine. In kidney diseases, cfDNA increases during haemodialysis and indicates cell damage. In patients with renal cell carcinoma, cfDNA in plasma and its integrity is studied for monitoring of tumour growth, the effects of chemotherapy and for prognosis. Urinary cfDNA is highly fragmented, but the technical hurdles can now be overcome and urinary cfDNA is being evaluated as a potential biomarker of renal injury and urinary tract tumours. Beyond its diagnostic application, cfDNA might also be involved in the pathogenesis of diseases affecting the kidneys as shown for systemic lupus, sepsis and some pregnancy-related pathologies. Recent data suggest that increased cfDNA is associated with acute kidney injury. In this review, we discuss the biological characteristics, sources of cfDNA, its potential use as a biomarker as well as its role in the pathogenesis of renal and urinary diseases.
[8]
Thierry AR, Mouliere F, Gongora C, et al. Origin and quantification of circulating DNA in mice with human colorectal cancer xenografts[J]. Nucleic Acids Res, 2010, 38(18): 6159-6175. DOI: 10.1093/nar/gkq421.
Although circulating DNA (ctDNA) could be an attractive tool for early cancer detection, diagnosis, prognosis, monitoring or prediction of response to therapies, knowledge on its origin, form and rate of release is poor and often contradictory. Here, we describe an experimental system to systematically examine these aspects. Nude mice were xenografted with human HT29 or SW620 colorectal carcinoma (CRC) cells and ctDNA was analyzed by Q-PCR with highly specific and sensitive primer sets at different times post-graft. We could discriminate ctDNA from normal (murine) cells and from mutated and non-mutated tumor (human) cells by using species-specific KRAS or PSAT1 primers and by assessing the presence of the BRAF V600E mutation. The concentration of human (mutated and non-mutated) ctDNA increased significantly with tumor growth. Conversely, and differently from previous studies, low, constant level of mouse ctDNA was observed, thus facilitating the study of mutated and non-mutated tumor derived ctDNA. Finally, analysis of ctDNA fragmentation confirmed the predominance of low-size fragments among tumor ctDNA from mice with bigger tumors. Higher ctDNA fragmentation was also observed in plasma samples from three metastatic CRC patients in comparison to healthy individuals. Our data confirm the predominance of mononucleosome-derived fragments in plasma from xenografted animals and, as a consequence, of apoptosis as a source of ctDNA, in particular for tumor-derived ctDNA. Altogether, our results suggest that ctDNA features vary during CRC tumor development and our experimental system might be a useful tool to follow such variations.
[9]
García Moreira V, de la Cera Martínez T, Gago González E, et al. Increase in and clearance of cell-free plasma DNA in hemodialysis quantified by real-time PCR[J]. Clin Chem Lab Med, 2006, 44(12): 1410-1415. DOI: 10.1515/CCLM.2006.252.
Recently cell-free plasma DNA has been described as a marker of apoptosis during hemodialysis (HD), but little is known about how different dialysis membranes may contribute to this process or whether pre-HD levels are restored afterwards. Here we evaluate the influence of the dialysis membrane on cell-free plasma DNA levels and investigate the clearance of plasma circulating DNA after HD.Cell-free plasma DNA was measured using a real-time quantitative PCR for the beta-globin gene. Reference values for plasma DNA were established in a group of 100 healthy voluntary blood donors. Pre- and post-HD levels were also measured in 30 patients with end-stage renal disease on regular HD (52 sessions; 104 samples). The sessions lasted for 2.5-5 h. Different dialysis membranes were compared: high-flux (n=37) vs. low-flux (n=15) and polysulfone (n=42) vs. modified cellulose (n=10). To determine the time at which pre-HD levels are restored, DNA was quantified in serial plasma samples obtained from 10 of these 30 patients, just before and immediately after HD, as well as at 30, 60 and 120 min after HD.Reference plasma DNA values for healthy blood donors ranged from 112 to 2452 gEq/mL (median 740 gEq/mL). Cell-free plasma DNA levels significantly increased during HD (Wilcoxon test for paired samples, p<0.0001), with increases of more than four-fold observed in 75% of the patients after HD. There was no significant linear association between the length of the HD session (between 2.5 and 5 h) and the increase in cell-free plasma DNA concentration (Pearson correlation). No significant differences were observed between different types of membranes (Mann-Whitney U-test). Plasma DNA returned to pre-HD levels by 30 min after HD, regardless of the starting concentration.Plasma DNA levels significantly increase after a conventional 2.5-5-h HD session. Therefore, HD patients require special consideration for correct interpretation of plasma DNA concentrations. This parameter can be considered a reliable diagnostic tool for certain pathologies when measured at least 30 min after a HD session without further complications. The different dialysis membranes used in this study had no influence on cell-free plasma DNA concentrations, so the level of circulating DNA is not an appropriate marker of dialysis membrane biocompatibility.
[10]
Gauthier VJ, Tyler LN, Mannik M. Blood clearance kinetics and liver uptake of mononucleosomes in mice[J]. J Immunol, 1996, 156(3): 1151-1156.
Nucleosomes generated by apoptosis have become of considerable interest in relation to pathogenesis of systemic lupus erythematosus in mice and humans. Therefore, the fate of circulating mononucleosomes was examined in normal C57Bl/6J mice. The mononucleosomes were prepared from chicken erythrocytes and radiolabeled on the histone component. The removal of nucleosomes from circulation at doses less than 11 micrograms of injected mononucleosomes was rapid, but with increasing doses of injected nucleosomes, the slopes of the removal curves decreased. Liver was the major organ for removal of circulating nucleosomes, accounting for 71.0 to 84.7% of nucleosomes removed from circulation at 10 min. After i.v. injection of nucleosomes, 0.52 +/- 0.15% localized in kidneys. With prior i.v. injection of histones, the glomerular localization of mononucleosomes increased threefold. The clearance of mononucleosomes was decreased sixfold by concurrent injection of ssDNA. These studies show that in mice, circulating mononucleosomes are handled similar to DNA, and they do not avidly localize in glomeruli unless histones have already bound to renal glomeruli.
[11]
Kustanovich A, Schwartz R, Peretz T, et al. Life and death of circulating cell-free DNA[J]. Cancer Biol Ther, 2019, 20(8): 1057-1067. DOI: 10.1080/15384047.2019.1598759.
Tumor-specific, circulating cell-free DNA in liquid biopsies is a promising source of biomarkers for minimally invasive serial monitoring of treatment responses in cancer management. We will review the current understanding of the origin of circulating cell-free DNA and different forms of DNA release (including various types of cell death and active secretion processes) and clearance routes. The dynamics of extracellular DNA in blood during therapy and the role of circulating DNA in pathophysiological processes (tumor-associated inflammation, NETosis, and pre-metastatic niche development) provide insights into the mechanisms that contribute to tumor development and metastases formation. Better knowledge of circulating tumor-specific cell-free DNA could facilitate the development of new therapeutic and diagnostic options for cancer management.
[12]
Corcoran RB, Chabner BA. Application of cell-free DNA analysis to cancer treatment[J]. N Engl J Med, 2018, 379(18): 1754-1765. DOI: 10.1056/NEJMra1706174.
[13]
Lo YM, Corbetta N, Chamberlain PF, et al. Presence of fetal DNA in maternal plasma and serum[J]. Lancet, 1997, 350(9076): 485-487. DOI: 10.1016/S0140-6736(97)02174-0.
The potential use of plasma and serum for molecular diagnosis has generated interest. Tumour DNA has been found in 'the plasma and serum of cancer patients, and molecular analysis has been done on this material. We investigated the equivalent condition in pregnancy-that is, whether fetal DNA is present in maternal plasma and serum.We used a rapid-boiling method to extract DNA from plasma and serum. DNA from plasma, serum, and nucleated blood cells from 43 pregnant women underwent a sensitive Y-PCR assay to detect circulating male fetal DNA from women bearing male fetuses.Fetus-derived Y sequences were detected in 24 (80%) of the 30 maternal plasma samples, and in 21 (70%) of the 30 maternal serum samples, from women bearing male fetuses. These results were obtained with only 10 microL of the samples. When DNA from nucleated blood cells extracted from a similar volume of blood was used, only five (17%) of the 30 samples gave a positive Y signal. None of the 13 women bearing female fetuses, and none of the ten non-pregnant control women, had positive results for plasma, serum or nucleated blood cells.Our finding of circulating fetal DNA in maternal plasma may have implications for non-invasive prenatal diagnosis, and for improving our understanding of the fetomaternal relationship.
[14]
Beck J, Oellerich M, Schulz U, et al. Donor-derived cell-free DNA is a novel universal biomarker for allograft rejection in solid organ transplantation[J]. Transplant Proc, 2015, 47(8): 2400-2403. DOI: 10.1016/j.transproceed.2015.08.035.
[15]
Gielis EM, Ledeganck KJ, De Winter BY, et al. Cell-free DNA: an upcoming biomarker in transplantation[J]. Am J Transplant, 2015, 15(10): 2541-2551. DOI: 10.1111/ajt.13387.
After organ transplantation, donor-derived cell-free DNA (ddcfDNA) can be detected in the recipient's blood and urine. Different ddcfDNA quantification techniques have been investigated but a major breakthrough was made with the introduction of digital droplet PCR and massive parallel sequencing creating the opportunity to increase the understanding of ddcfDNA kinetics after transplantation. The observations of increased levels of ddcfDNA during acute rejection and even weeks to months before histologic features of graft rejection point to a possible role of ddcfDNA as an early, noninvasive rejection marker. In this review, we summarize published research on ddcfDNA in the transplantation field thereby elaborating on its clinical utility. © Copyright 2015 The American Society of Transplantation and the American Society of Transplant Surgeons.
[16]
Filippone EJ, Farber JL. The monitoring of donor-derived cell-free DNA in kidney transplantation[J]. Transplantation, 2021, 105(3): 509-516. DOI: 10.1097/TP.0000000000003393.
Cell-free DNA (cfDNA) exists in plasma and can be measured by several techniques. It is now possible to differentiate donor-derived cfDNA (ddcfDNA) from recipient cfDNA in the plasma or urine of solid organ transplant recipients in the absence of donor and recipient genotyping. The assessment of ddcfDNA is being increasingly studied as a noninvasive means of identifying acute rejection (AR) in solid organ transplants, including subclinical AR. We herein review the literature on the correlation of ddcfDNA with AR in kidney transplantation. There have been at least 15 observational studies that have assessed ddcfDNA in urine or plasma using various methodologies with various thresholds for abnormality. Overall, elevated ddcfDNA indicates allograft injury as may occur with AR, infection, or acute tubular injury but may also be found in clinically stable patients with normal histology. Sensitivity is greater for antibody-mediated AR than for cell-mediated AR, and normal levels do not preclude significant cell-mediated rejection. Measurement of ddcfDNA is not a replacement for biopsy that remains the gold standard for diagnosing AR. Serial monitoring of stable patients may allow earlier detection of subclinical AR, but the efficacy of this approach remains to be established. Normal levels should not preclude planned protocol biopsies. There may be roles for following ddcfDNA levels to assess the adequacy of treatment of AR and to guide the intensity of immunosuppression in the individual patient. Randomized controlled trials are necessary to validate the benefit and cost-effectiveness for these various uses. No firm recommendations can be made at this time.
[17]
陈朝威, 马屹茕, 杨倩, 等. 液体活检在肾脏病诊治中的应用[J]. 中华肾脏病杂志, 2019, 35(5): 397-400. DOI: 10.3760/cma.j.issn.1001-7097.2019.05.013.
液体活检是近年来发展较快的一项检测技术,该技术目前已在多个领域取得了诸多突破性进展。随着液体活检研究技术的发展和研究成果的积累,液体活检在临床中的应用日益广泛。然而液体活检在肾脏病诊治方面的进展报道较少,我们通过对肾脏液体活检与传统肾脏活检的区别、肾脏液体活检的检测标本及肾脏液体活检的临床应用等方面的研究进行综述,讨论液体活检在肾脏疾病诊治领域的临床应用及其发展前景。
[18]
Shen J, Zhou Y, Chen Y, et al. Dynamics of early post-operative plasma ddcfDNA levels in kidney transplantation: a single-center pilot study[J]. Transpl Int, 2019, 32(2): 184-192. DOI: 10.1111/tri.13341.
Donor-derived cell-free DNA (ddcfDNA) is reported to be a promising noninvasive biomarker for acute rejection in organ transplant. However, studies on monitoring ddcfDNA dynamics during the early periods after organ transplantation are scarce. Our study assessed the dynamic variation in ddcfDNA in early period with various types and status of kidney transplantation. Target region capture sequencing used identifies ddcfDNA level in 21 kidney transplant recipients. Median ddcfDNA level was 20.69% at the initial time post-transplant, and decreased to 5.22% on the first day and stayed at the stable level after the second day. The ddcfDNA level in DCD (deceased donors) group (44.99%) was significantly higher than that in LDRT (living donor) group (10.24%) at initial time, P < 0.01. DdcfDNA level in DGF (delayed graft function) recipients was lower (23.96%) than that in non-DGF (47.74%) at the initial time, P = 0.89 (19.34% in DGF and 4.46% in non-DGF on the first day, P = 0.17). DdcfDNA level at initial time significantly correlated with serum creatinine (r  = 0.219, P = 0.032) and warm ischemia time (r  = 0.204, P = 0.040). Plasma ddcfDNA level decreased rapidly follow an L-shaped curve post-transplant, and level in DGF declined slower than non-DGF. The rebound of ddcfDNA level may indicate the occurrence of acute rejection.© 2018 Steunstichting ESOT.
[19]
Haas M, Loupy A, Lefaucheur C, et al. The banff 2017 kidney meeting report: revised diagnostic criteria for chronic active T cell-mediated rejection, antibody-mediated rejection, and prospects for integrative endpoints for next-generation clinical trials[J]. Am J Transplant, 2018, 18(2): 293-307. DOI: 10.1111/ajt.14625.
The kidney sessions of the 2017 Banff Conference focused on 2 areas: clinical implications of inflammation in areas of interstitial fibrosis and tubular atrophy (i-IFTA) and its relationship to T cell-mediated rejection (TCMR), and the continued evolution of molecular diagnostics, particularly in the diagnosis of antibody-mediated rejection (ABMR). In confirmation of previous studies, it was independently demonstrated by 2 groups that i-IFTA is associated with reduced graft survival. Furthermore, these groups presented that i-IFTA, particularly when involving >25% of sclerotic cortex in association with tubulitis, is often a sequela of acute TCMR in association with underimmunosuppression. The classification was thus revised to include moderate i-IFTA plus moderate or severe tubulitis as diagnostic of chronic active TCMR. Other studies demonstrated that certain molecular classifiers improve diagnosis of ABMR beyond what is possible with histology, C4d, and detection of donor-specific antibodies (DSAs) and that both C4d and validated molecular assays can serve as potential alternatives and/or complements to DSAs in the diagnosis of ABMR. The Banff ABMR criteria are thus updated to include these alternatives. Finally, the present report paves the way for the Banff scheme to be part of an integrative approach for defining surrogate endpoints in next-generation clinical trials.© 2017 The Authors. American Journal of Transplantation published by Wiley Periodicals, Inc. on behalf of The American Society of Transplantation and the American Society of Transplant Surgeons.
[20]
Bloom RD, Bromberg JS, Poggio ED, et al. Cell-free DNA and active rejection in kidney allografts[J]. J Am Soc Nephrol, 2017, 28(7): 2221-2232. DOI: 10.1681/ASN.2016091034.
Histologic analysis of the allograft biopsy specimen is the standard method used to differentiate rejection from other injury in kidney transplants. Donor-derived cell-free DNA (dd-cfDNA) is a noninvasive test of allograft injury that may enable more frequent, quantitative, and safer assessment of allograft rejection and injury status. To investigate this possibility, we prospectively collected blood specimens at scheduled intervals and at the time of clinically indicated biopsies. In 102 kidney recipients, we measured plasma levels of dd-cfDNA and correlated the levels with allograft rejection status ascertained by histology in 107 biopsy specimens. The dd-cfDNA level discriminated between biopsy specimens showing any rejection (T cell-mediated rejection or antibody-mediated rejection [ABMR]) and controls (no rejection histologically), <0.001 (receiver operating characteristic area under the curve [AUC], 0.74; 95% confidence interval [95% CI], 0.61 to 0.86). Positive and negative predictive values for active rejection at a cutoff of 1.0% dd-cfDNA were 61% and 84%, respectively. The AUC for discriminating ABMR from samples without ABMR was 0.87 (95% CI, 0.75 to 0.97). Positive and negative predictive values for ABMR at a cutoff of 1.0% dd-cfDNA were 44% and 96%, respectively. Median dd-cfDNA was 2.9% (ABMR), 1.2% (T cell-mediated types ≥IB), 0.2% (T cell-mediated type IA), and 0.3% in controls (=0.05 for T cell-mediated rejection types ≥IB versus controls). Thus, dd-cfDNA may be used to assess allograft rejection and injury; dd-cfDNA levels <1% reflect the absence of active rejection (T cell-mediated type ≥IB or ABMR) and levels >1% indicate a probability of active rejection.Copyright © 2017 by the American Society of Nephrology.
[21]
Knight SR, Thorne A, Lo Faro ML. Donor-specific cell-free DNA as a biomarker in solid organ transplantation. A systematic review[J]. Transplantation, 2019, 103(2): 273-283. DOI: 10.1097/TP.0000000000002482.
There is increasing interest in the use of noninvasive biomarkers to reduce the risks posed by invasive biopsy for monitoring of solid organ transplants (SOTs). One such promising marker is the presence of donor-derived cell-free DNA (dd-cfDNA) in the urine or blood of transplant recipients.We systematically reviewed the published literature investigating the use of cfDNA in monitoring of graft health after SOT. Electronic databases were searched for studies relating cfDNA fraction or levels to clinical outcomes, and data including measures of diagnostic test accuracy were extracted. Narrative analysis was performed.Ninety-five articles from 47 studies met the inclusion criteria (18 kidneys, 7 livers, 11 hearts, 1 kidney-pancreas, 5 lungs, and 5 multiorgans). The majority were retrospective and prospective cohort studies, with 19 reporting diagnostic test accuracy data. Multiple techniques for measuring dd-cfDNA were reported, including many not requiring a donor sample. dd-cfDNA falls rapidly within 2 weeks, with baseline levels varying by organ type. Levels are elevated in the presence of allograft injury, including acute rejection and infection, and return to baseline after successful treatment. Elevation of cfDNA levels is seen in advance of clinically apparent organ injury. Discriminatory power was greatest for higher grades of T cell-mediated and antibody-mediated acute rejection, with high negative predictive values.Cell-free DNA is a promising biomarker for monitoring the health of SOTs. Future studies will need to define how it can be used in routine clinical practice and determine clinical benefit with routine prospective monitoring.
[22]
Wijtvliet V, Plaeke P, Abrams S, et al. Donor-derived cell-free DNA as a biomarker for rejection after kidney transplantation: a systematic review and meta-analysis[J]. Transpl Int, 2020, 33(12): 1626-1642. DOI: 10.1111/tri.13753.
[23]
Whitlam JB, Ling L, Skene A, et al. Diagnostic application of kidney allograft-derived absolute cell-free DNA levels during transplant dysfunction[J]. Am J Transplant, 2019, 19(4): 1037-1049. DOI: 10.1111/ajt.15142.
Graft-derived cell-free DNA (donor-derived cell-free DNA) is an emerging marker of kidney allograft injury. Studies examining the clinical validity of this biomarker have previously used the graft fraction, or proportion of total cell-free DNA that is graft-derived. The present study evaluated the diagnostic validity of absolute measurements of graft-derived cell-free DNA, as well as calculated graft fraction, for the diagnosis of graft dysfunction. Plasma graft-derived cell-free DNA, total cell-free DNA, and graft fraction were correlated with biopsy diagnosis as well as individual Banff scores. Sixty-one samples were included in the analysis. For the diagnosis of antibody mediated rejection, the receiver-operator characteristic area under the curves of graft-derived cell-free DNA and graft fraction were 0.91 (95% CI 0.82-0.98) and 0.89 (95% CI 0.79-0.98), respectively. Both measures did not diagnose borderline or type 1A cellular mediated rejection. Graft fraction was associated with a broader range of Banff lesions, including lesions associated with cellular mediated rejection, while graft-derived cell-free DNA appeared more specific for antibody mediated rejection. Limitations of this study include a small sample size and lack of a validation cohort. The capacity for absolute quantification, and lower barriers to implementation of this methodology recommend it for further study.© 2018 The American Society of Transplantation and the American Society of Transplant Surgeons.
[24]
Huang E, Sethi S, Peng A, et al. Early clinical experience using donor-derived cell-free DNA to detect rejection in kidney transplant recipients[J]. Am J Transplant, 2019, 19(6): 1663-1670. DOI: 10.1111/ajt.15289.
Donor-derived cell-free DNA (dd-cfDNA) became Medicare reimbursable in the United States in October 2017 for the detection of rejection in kidney transplant recipients based on results from its pivotal validation trial, but it has not yet been externally validated. We assessed 63 adult kidney transplant recipients with suspicion of rejection with dd-cfDNA and allograft biopsy. Of these, 27 (43%) patients had donor-specific antibodies and 34 (54%) were found to have rejection by biopsy. The percentage of dd-cfDNA was higher among patients with antibody-mediated rejection (ABMR; median 1.35%; interquartile range [IQR]: 1.10%-1.90%) compared to those with no rejection (median 0.38%, IQR: 0.26%-1.10%; P < .001) and cell-mediated rejection (CMR; median: 0.27%, IQR: 0.19%-1.30%; P = .01). The dd-cfDNA test did not discriminate patients with CMR from those without rejection. The area under the ROC curve (AUC) for CMR was 0.42 (95% CI: 0.17-0.66). For ABMR, the AUC was 0.82 (95% CI: 0.71-0.93) and a dd-cfDNA ≥0.74% yielded a sensitivity of 100%, specificity 71.8%, PPV 68.6%, and NPV 100%. The dd-cfDNA test did not discriminate CMR from no rejection among kidney transplant recipients, although performance characteristics were stronger for the discrimination of ABMR.© 2019 The American Society of Transplantation and the American Society of Transplant Surgeons.
[25]
Puttarajappa CM, Mehta RB, Hariharan S. Donor-derived cell-free DNA for the diagnosis of kidney transplant rejection: an attractive test with ambiguous answers![J]. Transplantation, 2021, 105(6): 1171-1172. DOI: 10.1097/TP.0000000000003696.

程雅妹、郭陆英:论文撰写;雷文华、吕军好、严芃芃、沈佳:数据整理、统计学分析;王美芳、 周芹、 王慧萍:病理分类;陈江华: 写作指导;王仁定:研究指导、论文修改、经费支持

感谢上海奥根诊断提供游离DNA检测

Funding

National Natural Science Foundation of China(81870510)
Science and Technology Department of Zhejiang Province(2019C03029)
Bethune Charitable Foundation(G-X- 2019-0101-12)
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