4.7 Article

Cardiac Allograft Rejection Induces Changes in Nucleocytoplasmic Transport: RANGAP1 as a Potential Non-Invasive Biomarker

期刊

JOURNAL OF PERSONALIZED MEDICINE
卷 12, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/jpm12060913

关键词

biomarkers; RANGAP1; cardiac rejection; heart transplantation; nucleocytoplasmic transport

资金

  1. National Institute of Health Fondo de Investigaciones Sanitarias del Instituto de Salud Carlos III [PI16/01627, PI20/00071, PI20/01469, CP18/00145, CP21/00041]
  2. Consorcio Centro de Investigacion Biomedica en Red, M.P. (CIBERCV) [CB16/11/00261]
  3. European Union

向作者/读者索取更多资源

This study found that serum RANGAP1 levels can serve as a non-invasive biomarker for predicting the risk of ACR during the first year after heart transplantation.
The non-invasive diagnosis of acute cellular rejection (ACR) is a major challenge. We performed a molecular study analyzing the predictive capacity of serum RanGTPase AP1 (RANGAP1) for diagnosing ACR during the first year after heart transplantation (HT). We included the serum samples of 75 consecutive HT patients, extracted after clinical stability, to determine the RANGAP1 levels through ELISA. In addition, various clinical, analytical, and echocardiographic variables, as well as endomyocardial biopsy results, were collected. RANGAP1 levels were higher in patients who developed ACR (median 63.15 ng/mL; (inter-quartile range (IQR), 36.61-105.69) vs. 35.33 ng/mL (IQR, 19.18-64.59); p = 0.02). Receiver operating characteristic (ROC) curve analysis confirmed that RANGAP1 differentiated between patients with and without ACR (area under curve (AUC), 0.70; p = 0.02), and a RANGAP1 level exceeding the cut-off point (>= 90 ng/mL) was identified as a risk factor for the development of ACR (OR, 6.8; p = 0.006). Two independent predictors of ACR identified in this study were higher RANGAP1 and N-terminal pro-brain natriuretic peptide levels. The analysis of the ROC curve of the model showed a significant AUC of 0.77, p = 0.001. Our findings suggest that RANGAP1 quantification facilitates risk prediction for the occurrence of ACR and could be considered as a novel non-invasive biomarker of ACR.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据