结合生物标志物监测肺移植受者的同种异体移植物功能障碍。

Frontiers in transplantation Pub Date : 2025-05-08 eCollection Date: 2025-01-01 DOI:10.3389/frtra.2025.1574898
Zein Kattih, Shambhu Aryal
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引用次数: 0

摘要

同种异体移植物功能障碍是器官移植受者生存的主要限制,包括那些接受过肺移植的人。因此,早期发现同种异体移植物功能障碍对于改善这些患者的预后至关重要。然而,同种异体移植物功能障碍有多种原因,其中异体移植物感染和排斥反应是两个重要原因。通常很难区分这些原因,因为表现形式可能相似。同种异体移植排斥反应,特别是抗体介导的排斥反应(AMR)和慢性肺同种异体移植功能障碍(CLAD)往往发现得太晚,而进展已经发生。生物标志物,如抗hla抗体,包括供体特异性抗体(DSA),供体来源的无细胞DNA (dd-cfDNA),免疫细胞功能(ICF)测定和下一代微生物测序,允许早期识别异体移植物功能障碍,以及区分排斥与其他过程(如感染)。这反过来又允许早期干预,理想情况下,改善长期同种异体移植的结果。这些生物标记物在其他实体器官移植(包括肾脏和心脏移植)中存在更多的证据,但在肺移植受者中的应用正在增加,似乎同样有希望。在这篇综述中,我们评估了使用这些生物标志物的现有证据,并分享了我们中心在移植后使用这些生物标志物联合评估同种异体移植物功能障碍的实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using a combination of biomarkers to monitor allograft dysfunction in lung transplant recipients.

Allograft dysfunction is a major limitation of survival in organ transplant recipients including those who have received lung transplantation. Early detection of allograft dysfunction is thus crucial to improve outcomes in these patients. However, there are several causes of allograft dysfunction with allograft infection and rejection being the two important causes. It is often difficult to distinguish between those causes as the presentation can be similar. Allograft rejection, especially antibody-mediated rejection (AMR) and chronic lung allograft dysfunction (CLAD) are often identified too late where progression has already occurred. Biomarkers like anti-HLA antibodies including donor-specific antibodies (DSA), donor-derived cell-free DNA (dd-cfDNA), immune cell function (ICF) assays and next-generation sequencing for microorganisms allow for early identification of allograft dysfunction as well as differentiate rejection from other processes such as infection. This in turn allows for early intervention and, ideally, improved long-term allograft outcomes. Greater evidence exists for these biomarkers in other solid organ transplantations including kidney and heart transplantation, but application to lung transplant recipients is increasing and seems equally promising. In this review, we evaluate existing evidence for using these biomarkers and share our center practice in utilizing a combination of these biomarkers post-transplantation to assess for allograft dysfunction.

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