MRC Centre for Transplantation, King's College London, Great Maze Pond, London SE1 9RT, United Kingdom; Biostatistics and Health Informatics Department, Institute of Psychiatry Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, United Kingdom; Currently at Epidemiology and Biostatistics Department, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, United Kingdom.
NIHR Comprehensive Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust in partnership with King's College London and King's College Hospital, United Kingdom.
EBioMedicine. 2019 Mar;41:571-583. doi: 10.1016/j.ebiom.2019.01.060. Epub 2019 Mar 2.
Acute T-cell mediated rejection (TCMR) is usually indicated by alteration in serum-creatinine measurements when considerable transplant damage has already occurred. There is, therefore, a need for non-invasive early detection of immune signals that would precede the onset of rejection, prior to transplant damage.
We examined the RT-qPCR expression of 22 literature-based genes in peripheral blood samples from 248 patients in the Kidney Allograft Immune Biomarkers of Rejection Episodes (KALIBRE) study. To account for post-transplantation changes unrelated to rejection, we generated time-adjusted gene-expression residuals from linear mixed-effects models in stable patients. To select genes, we used penalised logistic regression based on 27 stable patients and 27 rejectors with biopsy-proven T-cell-mediated rejection, fulfilling strict inclusion/exclusion criteria. We validated this signature in i) an independent group of stable patients and patients with concomitant T-cell and antibody-mediated-rejection, ii) patients from an independent study, iii) cross-sectional pre-biopsy samples from non-rejectors and iv) longitudinal follow-up samples covering the first post-transplant year from rejectors, non-rejectors and stable patients.
A parsimonious TCMR-signature (IFNG, IP-10, ITGA4, MARCH8, RORc, SEMA7A, WDR40A) showed cross-validated area-under-ROC curve 0.84 (0.77-0.88) (median, 2.5-97.5 centile of fifty cross-validation cycles), sensitivity 0.67 (0.59-0.74) and specificity 0.85 (0.75-0.89). The estimated probability of TCMR increased seven weeks prior to the diagnostic biopsy and decreased after treatment. Gene expression in all patients showed pronounced variability, with up to 24% of the longitudinal samples in stable patients being TCMR-signature positive. In patients with borderline changes, up to 40% of pre-biopsy samples were TCMR-signature positive.
Molecular marker alterations in blood emerge well ahead of the time of clinically overt TCMR. Monitoring a TCMR-signature in peripheral blood could unravel T-cell-related pro-inflammatory activity and hidden immunological processes. This additional information could support clinical management decisions in cases of patients with stable but poor kidney function or with inconclusive biopsy results.
急性 T 细胞介导的排斥反应(TCMR)通常表现为血清肌酐测量值的改变,此时已经发生了相当大的移植损伤。因此,需要在移植损伤之前,非侵入性地早期检测到免疫信号,这些信号将先于排斥反应的发生。
我们检查了 248 例接受肾移植的患者的外周血样本中的 22 个文献报道基因的 RT-qPCR 表达情况。为了考虑与排斥反应无关的移植后变化,我们使用线性混合效应模型在稳定患者中生成了时间调整后的基因表达残差。为了选择基因,我们使用基于 27 例稳定患者和 27 例活检证实的 T 细胞介导的排斥反应患者的惩罚逻辑回归,这些患者符合严格的纳入/排除标准。我们在以下情况下验证了该签名:i)独立的稳定患者和同时发生 T 细胞和抗体介导排斥反应的患者组,ii)独立研究中的患者,iii)非排斥反应患者的横断面活检前样本,iv)从排斥反应患者、非排斥反应患者和稳定患者中收集的涵盖移植后第一年的纵向随访样本。
一个简洁的 TCMR 特征(IFNG、IP-10、ITGA4、MARCH8、RORc、SEMA7A、WDR40A)显示出交叉验证的 AUC 曲线 0.84(0.77-0.88)(中位数,50 次交叉验证循环的 2.5-97.5 百分位数),敏感性为 0.67(0.59-0.74),特异性为 0.85(0.75-0.89)。TCMR 的估计概率在诊断性活检前七周开始升高,并在治疗后降低。所有患者的基因表达均显示出明显的变异性,在稳定患者中,高达 24%的纵向样本呈 TCMR 特征阳性。在边界变化的患者中,高达 40%的活检前样本呈 TCMR 特征阳性。
血液中的分子标志物改变在临床上明显的 TCMR 发生之前就已经出现。在外周血中监测 TCMR 特征可以揭示 T 细胞相关的炎症活性和隐藏的免疫过程。这些额外的信息可以支持有稳定但肾功能较差的患者或活检结果不确定的患者的临床管理决策。