使用组织特异性DNA甲基化和供体特异性基因分型技术对肝移植后移植物来源的无细胞DNA进行定量:一项正交比较研究。

IF 2.5 Q3 GENETICS & HEREDITY Epigenomes Pub Date : 2023-06-09 DOI:10.3390/epigenomes7020011
Daniel R A Cox, Tess McClure, Fan Zhang, Boris Ka Leong Wong, Adam Testro, Su Kah Goh, Vijayaragavan Muralidharan, Alexander Dobrovic
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引用次数: 0

摘要

背景:移植物无细胞DNA (Graft-derived cell-free DNA, gdcfDNA)分析有望成为实体器官移植后监测器官健康的一种无创工具。一些gdcfDNA分析技术已经被描述;然而,大多数依赖于测序或先前的基因分型来检测供体-受体不匹配的遗传多态性。DNA的差异甲基化区域可用于鉴定无细胞DNA (cfDNA)片段的组织起源。在这项研究中,我们旨在直接比较使用移植物特异性DNA甲基化分析和供体-受体基因分型技术对肝移植后患者临床样本进行gdcfDNA监测的性能。结果:7名患者在肝移植前被招募,3名患者在肝移植后的前6周出现早期活检证实的TCMR。使用这两种方法,在所有样品中都成功地定量了gdcfDNA。使用这两种技术的结果之间存在高度的技术相关性(Spearman检验,rs = 0.87, p < 0.0001)。与基于组织特异性DNA甲基化的方法相比,使用基因分型方法量化的gdcfDNA水平在所有时间点上都显著更高:例如,lt后第1天的中位数分别为31,350拷贝/mL (IQR 6731-64,058)和4133拷贝/mL (IQR 1100-8422)。两种检测方法中每位患者gdcfDNA水平的定性趋势一致。在急性TCMR之前,两种技术都量化了gdcfDNA的显著升高。在本初步研究中,在患者1和2的组织学诊断前6天和3天,使用这两种技术的gdcfDNA升高提示TCMR。结论:移植物特异性甲基化和基因分型技术都成功地量化了移植后患者的gdcfDNA,具有统计学意义的一致性。这两种技术的直接比较不仅从正交验证的技术角度来说很重要,而且显著地增加了gdcfDNA监测反映潜在生物学的证据的权重。与传统的诊断工作流程相比,这两种技术都可以在几天的时间内确定出现急性TCMR的肝移植受体。虽然这两种检测方法的效果相当,但基于移植物特异性DNA甲基化模式的gdcfDNA监测比供体-受体基因分型具有主要的实用优势,因此增强了将这一新兴技术转化为临床实践的潜力。
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Graft-Derived Cell-Free DNA Quantification following Liver Transplantation Using Tissue-Specific DNA Methylation and Donor-Specific Genotyping Techniques: An Orthogonal Comparison Study.

Background: Graft-derived cell-free DNA (gdcfDNA) analysis has shown promise as a non-invasive tool for monitoring organ health following solid organ transplantation. A number of gdcfDNA analysis techniques have been described; however, the majority rely on sequencing or prior genotyping to detect donor-recipient mis-matched genetic polymorphisms. Differentially methylated regions of DNA can be used to identify the tissue-of-origin of cell-free DNA (cfDNA) fragments. In this study, we aimed to directly compare the performance of gdcfDNA monitoring using graft-specific DNA methylation analysis and donor-recipient genotyping techniques in a pilot cohort of clinical samples from patients post-liver transplantation. Results: 7 patients were recruited prior to LT, 3 developed early, biopsy-proven TCMR in the first 6 weeks post-LT. gdcfDNA was successfully quantified in all samples using both approaches. There was a high level of technical correlation between results using the two techniques (Spearman testing, rs = 0.87, p < 0.0001). gdcfDNA levels quantified using the genotyping approach were significantly greater across all timepoints in comparison to the tissue-specific DNA methylation-based approach: e.g., day 1 post-LT median 31,350 copies/mL (IQR 6731-64,058) vs. 4133 copies/mL (IQR 1100-8422), respectively. Qualitative trends in gdcfDNA levels for each patient were concordant between the two assays. Acute TCMR was preceded by significant elevations in gdcfDNA as quantified by both techniques. Elevations in gdcfDNA, using both techniques, were suggestive of TCMR in this pilot study with a 6- and 3-day lead-time prior to histological diagnosis in patients 1 and 2. Conclusions: Both the graft-specific methylation and genotyping techniques successfully quantified gdcfDNA in patients post-LT with statistically significant concordance. A direct comparison of these two techniques is not only important from a technical perspective for orthogonal validation, but significantly adds weight to the evidence that gdcfDNA monitoring reflects the underlying biology. Both techniques identified LT recipients who developed acute TCMR, with several days lead-time in comparison to conventional diagnostic workflows. Whilst the two assays performed comparably, gdcfDNA monitoring based on graft-specific DNA methylation patterns in cfDNA offers major practical advantages over the donor-recipient genotyping, and hence enhances the potential to translate this emerging technology into clinical practice.

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Epigenomes
Epigenomes GENETICS & HEREDITY-
CiteScore
3.80
自引率
0.00%
发文量
38
审稿时长
11 weeks
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