Sandesh Parajuli, Neetika Garg, Ban Dodin, Isabel Breyer, Emily Zona, Shree Patel, Kevin Pinney, Didier Mandelbrot
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The primary analysis compared the time-varying change in dd-cfDNA from baseline in KTR first AR on biopsy [AR] to patients with no-AR on biopsy [no-AR].</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>151 KTR were analyzed (AR = 56 KTR, no-AR = 95 KTRs). In the AR group, dd-cfDNA rose ahead of diagnosis: median rise from baseline was 75% at −3 months, 32% at −2 months, and 325% at −1 month before biopsy. At the time of biopsy, the median rise in dd-cfDNA from baseline was 291% (IQR [interquartile range] 88%–1081%) in AR and 17% (IQR 0%– 194%) in no-AR (<i>p</i> < 0.0001). Following treatment, dd-cfDNA values fell in the AR group with a median change from baseline of 94.7% at +1 month, 10.5% at +2 months, and 0% at +3 months. These trajectories were not observed in the no-AR group. Similarly, there were no significant differences in eGFR (estimated glomerular filtration rate) trajectories between the two groups. The median change from baseline to dnDSA detection was 141% (IQR 112%–574%). In KTRs with persistent rejection, median dd-cfDNA was 0.95% (IQR 0.44–1.8) compared to 0.19% (IQR 0.12–0.31) in subjects with no rejection on follow-up (<i>p</i> < 0.001).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The significant changes from baseline observed before and after AR show how serial monitoring enhances dd-cfDNA utility and allows for earlier identification of evolving injury and monitoring treatment response.</p>\n </section>\n </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ctr.70019","citationCount":"0","resultStr":"{\"title\":\"Changes in Donor-Derived Cell-Free DNA Before and After Rejection and De Novo DSA Detection in Primary and Repeat Kidney Transplant Recipients\",\"authors\":\"Sandesh Parajuli, Neetika Garg, Ban Dodin, Isabel Breyer, Emily Zona, Shree Patel, Kevin Pinney, Didier Mandelbrot\",\"doi\":\"10.1111/ctr.70019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Serial monitoring of dd-cfDNA and change from baseline can provide meaningful information beyond absolute thresholds. We describe dd-cfDNA trajectories from the baseline before and after acute rejection (AR) and de novo donor-specific antibodies (dnDSA) detection in kidney transplant recipients (KTRs).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We included KTR from 02/2019 to 03/2022 with serial dd-cfDNA. The primary analysis compared the time-varying change in dd-cfDNA from baseline in KTR first AR on biopsy [AR] to patients with no-AR on biopsy [no-AR].</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>151 KTR were analyzed (AR = 56 KTR, no-AR = 95 KTRs). In the AR group, dd-cfDNA rose ahead of diagnosis: median rise from baseline was 75% at −3 months, 32% at −2 months, and 325% at −1 month before biopsy. At the time of biopsy, the median rise in dd-cfDNA from baseline was 291% (IQR [interquartile range] 88%–1081%) in AR and 17% (IQR 0%– 194%) in no-AR (<i>p</i> < 0.0001). Following treatment, dd-cfDNA values fell in the AR group with a median change from baseline of 94.7% at +1 month, 10.5% at +2 months, and 0% at +3 months. These trajectories were not observed in the no-AR group. Similarly, there were no significant differences in eGFR (estimated glomerular filtration rate) trajectories between the two groups. The median change from baseline to dnDSA detection was 141% (IQR 112%–574%). 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引用次数: 0
摘要
背景:连续监测dd-cfDNA和与基线相比的变化可提供绝对阈值以外的有意义信息。我们描述了肾移植受者(KTR)在急性排斥反应(AR)和新供者特异性抗体(dnDSA)检测前后从基线开始的dd-cfDNA变化轨迹:我们纳入了2019年2月至2022年3月期间连续检测dd-cfDNA的KTR。主要分析比较了活检时首次出现 AR 的 KTR [AR] 与活检时未出现 AR 的患者 [no-AR] 的 dd-cfDNA 从基线开始的时变变化:分析了 151 例 KTR(有 AR = 56 例 KTR,无 AR = 95 例 KTR)。在有AR组中,dd-cfDNA在确诊前就已上升:活检前-3个月时,与基线相比的中位上升率为75%,-2个月时为32%,-1个月时为325%。活检时,有基因突变者 dd-cfDNA 从基线上升的中位数为 291%(IQR [四分位数间距] 88%-1081%),无基因突变者为 17%(IQR 0%- 194%)(P 结论:有基因突变者的 dd-cfDNA 从基线上升的中位数比无基因突变者高:AR 前后观察到的与基线相比的重大变化表明,连续监测可提高 dd-cfDNA 的效用,并能更早地识别不断发展的损伤和监测治疗反应。
Changes in Donor-Derived Cell-Free DNA Before and After Rejection and De Novo DSA Detection in Primary and Repeat Kidney Transplant Recipients
Background
Serial monitoring of dd-cfDNA and change from baseline can provide meaningful information beyond absolute thresholds. We describe dd-cfDNA trajectories from the baseline before and after acute rejection (AR) and de novo donor-specific antibodies (dnDSA) detection in kidney transplant recipients (KTRs).
Methods
We included KTR from 02/2019 to 03/2022 with serial dd-cfDNA. The primary analysis compared the time-varying change in dd-cfDNA from baseline in KTR first AR on biopsy [AR] to patients with no-AR on biopsy [no-AR].
Results
151 KTR were analyzed (AR = 56 KTR, no-AR = 95 KTRs). In the AR group, dd-cfDNA rose ahead of diagnosis: median rise from baseline was 75% at −3 months, 32% at −2 months, and 325% at −1 month before biopsy. At the time of biopsy, the median rise in dd-cfDNA from baseline was 291% (IQR [interquartile range] 88%–1081%) in AR and 17% (IQR 0%– 194%) in no-AR (p < 0.0001). Following treatment, dd-cfDNA values fell in the AR group with a median change from baseline of 94.7% at +1 month, 10.5% at +2 months, and 0% at +3 months. These trajectories were not observed in the no-AR group. Similarly, there were no significant differences in eGFR (estimated glomerular filtration rate) trajectories between the two groups. The median change from baseline to dnDSA detection was 141% (IQR 112%–574%). In KTRs with persistent rejection, median dd-cfDNA was 0.95% (IQR 0.44–1.8) compared to 0.19% (IQR 0.12–0.31) in subjects with no rejection on follow-up (p < 0.001).
Conclusion
The significant changes from baseline observed before and after AR show how serial monitoring enhances dd-cfDNA utility and allows for earlier identification of evolving injury and monitoring treatment response.
期刊介绍:
Clinical Transplantation: The Journal of Clinical and Translational Research aims to serve as a channel of rapid communication for all those involved in the care of patients who require, or have had, organ or tissue transplants, including: kidney, intestine, liver, pancreas, islets, heart, heart valves, lung, bone marrow, cornea, skin, bone, and cartilage, viable or stored.
Published monthly, Clinical Transplantation’s scope is focused on the complete spectrum of present transplant therapies, as well as also those that are experimental or may become possible in future. Topics include:
Immunology and immunosuppression;
Patient preparation;
Social, ethical, and psychological issues;
Complications, short- and long-term results;
Artificial organs;
Donation and preservation of organ and tissue;
Translational studies;
Advances in tissue typing;
Updates on transplant pathology;.
Clinical and translational studies are particularly welcome, as well as focused reviews. Full-length papers and short communications are invited. Clinical reviews are encouraged, as well as seminal papers in basic science which might lead to immediate clinical application. Prominence is regularly given to the results of cooperative surveys conducted by the organ and tissue transplant registries.
Clinical Transplantation: The Journal of Clinical and Translational Research is essential reading for clinicians and researchers in the diverse field of transplantation: surgeons; clinical immunologists; cryobiologists; hematologists; gastroenterologists; hepatologists; pulmonologists; nephrologists; cardiologists; and endocrinologists. It will also be of interest to sociologists, psychologists, research workers, and to all health professionals whose combined efforts will improve the prognosis of transplant recipients.