在日常临床实践中测定供体来源无细胞DNA的内部技术的实施:来自巴塞罗那医院诊所的经验

Q2 Medicine
Elena Cuadrado-Payán , Eva González-Roca , Diana Rodríguez-Espinosa , Alicia Molina-Andújar , Enrique Montagud-Marrahi , Carolt Arana , Angela González-Rojas , Nuria Esforzado , Vicens Torregrosa , Pedro Ventura-Aguiar , María Argudo , Daniel Serrano-Jorcano , Maria José Ramírez-Bajo , Elisenda Bañón-Maneus , Silvia Casas , José Jesus Broseta , Joan Anton Puig-Butille , Ignacio Revuelta , Fritz Diekmann , David Cucchiari
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引用次数: 0

摘要

背景与目的与传统方法相比,引入供体来源的游离DNA (ddcfDNA)已成为诊断排斥反应的一种准确的非侵入性生物标志物。在这里,我们评估在我们中心作为内部技术实施后的经验。材料和方法单中心横断面研究,在2020年12月至2023年12月“按方案”或“按适应症”进行活检时,提取血液中的游离DNA,并使用AlloSeqcfDNA测定(CareDx)对ddcfDNA进行定量。结果对112例肾移植受者进行了172例移植活检(59例为方案活检,113例为病因活检)。在活检中,鉴定出19例边缘性排斥反应,11例t细胞介导的排斥反应和30例抗体介导的排斥反应。各诊断组ddcfDNA中位数为:交界性排斥反应0.40%(0.23% ~ 0.82%),细胞性排斥反应0.60%(0.23% ~ 1.91%),抗体介导排斥反应1.48% (0.77% ~ 3.4%)(P <;措施)。在112例无排斥症状的活检中,中位ddcfDNA为0.33% (0.17%-0.54%)(P <;措施)。dsa阳性和排斥反应患者的ddcfDNA水平高于无排斥反应的dsa阳性患者(P = 0.010),且ddcfDNA水平与微血管炎症和C4d阳性有显著相关性。ddcfDNA在ROC曲线下区分任何类型排斥反应和无排斥反应的面积为0.74(0.65 ~ 0.82),排除临界排斥反应的分析,面积为0.80(0.72 ~ 0.89),优于其他肾功能指标。结论在我们中心实施ddcfDNA分析作为一种临床工具,在鉴别活检证实的急性排斥反应,特别是抗体介导的排斥反应方面,优于经典的肾功能标志物。它的医院实施支持及时和准确的诊断,改善移植管理和预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of the in-house technique for the determination of donor-derived cell-free DNA in daily clinical practice: Experience from the Hospital Clinic of Barcelona

Background and objective

The introduction of donor-derived free DNA (ddcfDNA) has emerged as an accurate non-invasive biomarker to diagnose rejection, compared to classical ones. Here we evaluate our experience after its implementation in our center as an in-house technique.

Materials and methods

Single-center cross-sectional study with extraction of cell-free DNA in blood and quantification of the ddcfDNA using the AlloSeqcfDNA assay (CareDx) at the time of performing biopsies ‘per protocol’ or ‘per indication’ between December 2020 and December 2023.

Results

172 graft biopsies were included (59 for protocol and 113 for cause) in 112 kidney transplant recipients. Among the biopsies, 19 borderline rejections, 11 T-cell mediated rejections, and 30 antibody-mediated rejections were identified. The median ddcfDNA in each diagnostic group was: 0.40% (0.23%–0.82%) in borderline, 0.60% (0.23%–1.91%) in cellular, and 1.48% (0.77%–3.4%) in antibody-mediated rejection (P < .001). In the 112 biopsies with no signs of rejection, the median ddcfDNA was 0.33% (0.17%–0.54%) (P < .001). Cases with positive DSAs and rejection showed higher levels of ddcfDNA than positive DSAs without rejection (P = .010), and ddcfDNA levels were significantly associated with microvascular inflammation and C4d positivity. The area under the ROC curves of ddcfDNA to discriminate any type of rejection from the absence of rejection was 0.74 (0.65−0.82) and, excluding borderline rejection from the analysis, 0.80 (0.72−0.89), outperforming other markers of renal function.

Conclusions

Implementing ddcfDNA analysis at our center as a clinical tool has proven valuable for distinguishing biopsy-confirmed acute rejection, particularly antibody-mediated rejection, outperforming classic renal function markers. Its hospital-based implementation supports timely and accurate diagnosis, improving transplant management and prognosis.
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来源期刊
Nefrologia English Edition
Nefrologia English Edition Medicine-Nephrology
CiteScore
3.00
自引率
0.00%
发文量
67
审稿时长
50 weeks
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