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实体器官移植受者血浆和尿液中供体来源游离DNA定量方法的比较。

Comparison of methods for donor-derived cell-free DNA quantification in plasma and urine from solid organ transplant recipients.

作者信息

Kueng Nicholas, Arcioni Séverine, Sandberg Fanny, Kuhn Christian, Banz Vanessa, Largiadèr Carlo R, Sidler Daniel, Amstutz Ursula

机构信息

Department of Clinical Chemistry, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.

Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.

出版信息

Front Genet. 2023 Jan 27;14:1089830. doi: 10.3389/fgene.2023.1089830. eCollection 2023.

Abstract

In allograft monitoring of solid organ transplant recipients, liquid biopsy has emerged as a novel approach using quantification of donor-derived cell-free DNA (dd-cfDNA) in plasma. Despite early clinical implementation and analytical validation of techniques, direct comparisons of dd-cfDNA quantification methods are lacking. Furthermore, data on dd-cfDNA in urine is scarce and high-throughput sequencing-based methods so far have not leveraged unique molecular identifiers (UMIs) for absolute dd-cfDNA quantification. Different dd-cfDNA quantification approaches were compared in urine and plasma of kidney and liver recipients: A) Droplet digital PCR (ddPCR) using allele-specific detection of seven common alleles and the Y chromosome; B) high-throughput sequencing (HTS) using a custom QIAseq DNA panel targeting 121 common polymorphisms; and C) a commercial dd-cfDNA quantification method (AlloSeq cfDNA, CareDx). Dd-cfDNA was quantified as %dd-cfDNA, and for ddPCR and HTS using UMIs additionally as donor copies. In addition, relative and absolute dd-cfDNA levels in urine and plasma were compared in clinically stable recipients. The HTS method presented here showed a strong correlation of the %dd-cfDNA with ddPCR ( = 0.98) and AlloSeq cfDNA ( = 0.99) displaying only minimal to no proportional bias. Absolute dd-cfDNA copies also correlated strongly ( = 0.78) between HTS with UMI and ddPCR albeit with substantial proportional bias (slope: 0.25; 95%-CI: 0.19-0.26). Among 30 stable kidney transplant recipients, the median %dd-cfDNA in urine was 39.5% (interquartile range, IQR: 21.8-58.5%) with 36.6 copies/μmol urinary creatinine (IQR: 18.4-109) and 0.19% (IQR: 0.01-0.43%) with 5.0 copies/ml (IQR: 1.8-12.9) in plasma without any correlation between body fluids. The median %dd-cfDNA in plasma from eight stable liver recipients was 2.2% (IQR: 0.72-4.1%) with 120 copies/ml (IQR: 85.0-138) while the median dd-cfDNA copies/ml was below 0.1 in urine. This first head-to-head comparison of methods for absolute and relative quantification of dd-cfDNA in urine and plasma supports a method-independent %dd-cfDNA cutoff and indicates the suitability of the presented HTS method for absolute dd-cfDNA quantification using UMIs. To evaluate the utility of dd-cfDNA in urine for allograft surveillance, absolute levels instead of relative amounts will most likely be required given the extensive variability of %dd-cfDNA in stable kidney recipients.

摘要

在实体器官移植受者的同种异体移植监测中,液体活检已成为一种新方法,即通过定量血浆中供体来源的游离DNA(dd-cfDNA)来实现。尽管技术已早期应用于临床并经过分析验证,但缺乏对dd-cfDNA定量方法的直接比较。此外,尿液中dd-cfDNA的数据稀少,并且基于高通量测序的方法目前尚未利用独特分子标识符(UMI)进行绝对dd-cfDNA定量。在肾移植和肝移植受者的尿液和血浆中比较了不同的dd-cfDNA定量方法:A)使用七种常见等位基因和Y染色体的等位基因特异性检测的液滴数字PCR(ddPCR);B)使用针对121种常见多态性的定制QIAseq DNA面板的高通量测序(HTS);C)一种商业dd-cfDNA定量方法(AlloSeq cfDNA,CareDx)。将dd-cfDNA定量为dd-cfDNA百分比,对于使用UMI的ddPCR和HTS,还定量为供体拷贝数。此外,在临床稳定的受者中比较了尿液和血浆中相对和绝对dd-cfDNA水平。本文介绍的HTS方法显示dd-cfDNA百分比与ddPCR(r = 0.98)和AlloSeq cfDNA(r = 0.99)具有很强的相关性,仅显示出极小至无比例偏差。尽管存在相当大的比例偏差(斜率:0.25;95%置信区间:0.19 - 0.26),但使用UMI的HTS与ddPCR之间的绝对dd-cfDNA拷贝数也具有很强的相关性(r = 0.78)。在30名稳定的肾移植受者中,尿液中dd-cfDNA百分比的中位数为39.5%(四分位间距,IQR:21.8 - 58.5%),尿肌酐为36.6拷贝/μmol(IQR:18.4 - 109),血浆中为0.19%(IQR:0.01 - 0.43%),5.0拷贝/ml(IQR:1.8 - 12.9),体液之间无任何相关性。八名稳定的肝移植受者血浆中dd-cfDNA百分比的中位数为2.2%(IQR:0.72 - 4.1%),120拷贝/ml(IQR:85.0 - 138),而尿液中dd-cfDNA拷贝数/ml的中位数低于0.1。这种对尿液和血浆中dd-cfDNA进行绝对和相对定量方法的首次直接比较支持了与方法无关的dd-cfDNA百分比临界值,并表明所介绍HTS方法适用于使用UMI进行绝对dd-cfDNA定量。为了评估尿液中dd-cfDNA在同种异体移植监测中的效用,鉴于稳定肾移植受者中dd-cfDNA百分比的广泛变异性,很可能需要绝对水平而非相对量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fef7/9916053/4cd7f6256fee/fgene-14-1089830-g001.jpg

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