Regulatory T Cell Biomarkers Identify Patients at Risk of Developing Acute Cellular Rejection in the First Year Following Heart Transplantation

医学 生物标志物 移植 心脏移植 CD8型 T细胞 调节性T细胞 免疫学 内科学 免疫系统 肿瘤科 白细胞介素2受体 生物 遗传学
作者
Ji‐Young V. Kim,Sara Assadian,Zsuzsanna Hollander,Paloma Burns,Casey P. Shannon,Karen Lam,Mustafa Toma,Andrew Ignaszewski,Ross A. Davies,Diego Delgado,Haissam Haddad,Debra Isaac,Daniel Kim,Alice Mui,Miroslaw Rajda,Lori J. West,Michel White,Shelley Zieroth,Paul Keown,W. Robert McMaster
出处
期刊:Transplantation [Wolters Kluwer]
卷期号:107 (8): 1810-1819 被引量:5
标识
DOI:10.1097/tp.0000000000004607
摘要

Acute cellular rejection (ACR), an alloimmune response involving CD4+ and CD8+ T cells, occurs in up to 20% of patients within the first year following heart transplantation. The balance between a conventional versus regulatory CD4+ T cell alloimmune response is believed to contribute to developing ACR. Therefore, tracking these cells may elucidate whether changes in these cell populations could signal ACR risk.We used a CD4+ T cell gene signature (TGS) panel that tracks CD4+ conventional T cells (Tconv) and regulatory T cells (Treg) on longitudinal samples from 94 adult heart transplant recipients. We evaluated combined diagnostic performance of the TGS panel with a previously developed biomarker panel for ACR diagnosis, HEARTBiT, while also investigating TGS' prognostic utility.Compared with nonrejection samples, rejection samples showed decreased Treg- and increased Tconv-gene expression. The TGS panel was able to discriminate between ACR and nonrejection samples and, when combined with HEARTBiT, showed improved specificity compared with either model alone. Furthermore, the increased risk of ACR in the TGS model was associated with lower expression of Treg genes in patients who later developed ACR. Reduced Treg gene expression was positively associated with younger recipient age and higher intrapatient tacrolimus variability.We demonstrated that expression of genes associated with CD4+ Tconv and Treg could identify patients at risk of ACR. In our post hoc analysis, complementing HEARTBiT with TGS resulted in an improved classification of ACR. Our study suggests that HEARTBiT and TGS may serve as useful tools for further research and test development.
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