Department of Medicine, Division of Cardiology, Duke University School of Medicine, Durham, North Carolina; Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina.
Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina.
J Heart Lung Transplant. 2021 Dec;40(12):1589-1598. doi: 10.1016/j.healun.2021.07.024. Epub 2021 Aug 11.
Clinical models to identify patients at high risk of primary graft dysfunction (PGD) after heart transplantation (HT) are limited, and the underlying pathophysiology of this common post-transplant complication remains poorly understood. We sought to identify whether pre-transplant levels of circulating proteins reporting on immune activation and inflammation are associated with incident PGD.
The study population consisted of 219 adult heart transplant recipients identified between 2016 and 2020 at Duke University Medical Center, randomly divided into derivation (n = 131) and validation (n = 88) sets. PGD was defined using modified ISHLT criteria. Proteomic profiling was performed using Olink panels (n = 354 proteins) with serum samples collected immediately prior to transplantation. Association between normalized relative protein expression and PGD was tested using univariate and multivariable (recipient age, creatinine, mechanical circulatory support, and sex; donor age; ischemic time) models. Significant proteins identified in the derivation set (p < 0.05 in univariate models), were then tested in the validation set. Pathway enrichment analysis was used to test candidate biological processes. The predictive performance of proteins was compared to that of the RADIAL score.
Nine proteins were associated with PGD in univariate models in the derivation set. Of these, only CLEC4C remained associated with PGD in the validation set after Bonferroni correction (OR [95% CI] = 3.04 [1.74,5.82], p = 2.8 × 10). Patterns of association were consistent for CLEC4C in analyses stratified by biventricular/left ventricular and isolated right ventricular PGD. Pathway analysis identified interferon-alpha response and C-type lectin signaling as significantly enriched biologic processes. The RADIAL score was a poor predictor of PGD (AUC = 0.55). CLEC4C alone (AUC = 0.66, p = 0.048) and in combination with the clinical covariates from the multivariable model (AUC = 0.69, p = 0.018) improved discrimination for the primary outcome.
Pre-transplantation circulating levels of CLEC4C, a protein marker of plasmacytoid dendritic cells (pDCs), may identify HT recipients at risk for PGD. Further studies are needed to better understand the potential role pDCs and the innate immune response in PGD.
目前用于识别心脏移植(HT)后原发性移植物功能障碍(PGD)高危患者的临床模型十分有限,这种常见的移植后并发症的潜在病理生理学机制仍知之甚少。我们试图确定移植前报告免疫激活和炎症的循环蛋白水平是否与 PGD 的发生有关。
研究人群为 2016 年至 2020 年期间在杜克大学医学中心接受心脏移植的 219 名成年患者,随机分为推导组(n=131)和验证组(n=88)。PGD 采用改良 ISHLT 标准定义。在移植前立即采集血清样本,使用 Olink 面板(n=354 种蛋白)进行蛋白质组学分析。使用单变量和多变量(受者年龄、肌酐、机械循环支持和性别;供者年龄;缺血时间)模型检验标准化相对蛋白表达与 PGD 的相关性。在推导组中发现与 PGD 相关的有统计学意义的蛋白(单变量模型 p<0.05),然后在验证组中进行测试。候选生物过程采用途径富集分析进行检验。比较蛋白与 RADIAL 评分的预测性能。
在推导组的单变量模型中,有 9 种蛋白与 PGD 相关。其中,CLEC4C 是唯一在经过 Bonferroni 校正后与验证组中的 PGD 相关的蛋白(比值比[95%置信区间]为 3.04[1.74,5.82],p=2.8×10)。CLEC4C 在分析中也表现出一致的关联,这些分析根据双心室/左心室和孤立的右心室 PGD 进行分层。途径分析确定干扰素-α反应和 C 型凝集素信号转导为显著富集的生物学过程。RADIAL 评分对 PGD 的预测能力较差(AUC=0.55)。CLEC4C 单独使用(AUC=0.66,p=0.048)或与多变量模型中的临床协变量联合使用(AUC=0.69,p=0.018)均可以改善对主要结局的预测。
移植前循环 CLEC4C 水平,浆细胞样树突状细胞(pDC)的蛋白标志物,可能识别 HT 受者发生 PGD 的风险。需要进一步研究以更好地了解 pDC 及其固有免疫反应在 PGD 中的潜在作用。