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程序性细胞坏死相关基因有助于深入了解预测肾移植中移植物失功和诊断移植物延迟功能的新方法。

Necroptosis-related genes allow novel insights into predicting graft loss and diagnosing delayed graft function in renal transplantation.

机构信息

Department of Renal Transplantation, Hospital of Nephrology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Department of Renal Transplantation, Hospital of Nephrology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

出版信息

Genomics. 2024 Mar;116(2):110778. doi: 10.1016/j.ygeno.2023.110778. Epub 2023 Dec 30.

Abstract

Ischemia-reperfusion injury (IRI) is an inevitable pathophysiological phenomenon in kidney transplantation. Necroptosis is an undoubtedly important contributing mechanism in renal IRI. We first screened differentially expressed necroptosis-related genes (DENRGs) from public databases. Eight DENRGs were validated by independent datasets and verified by qRT-PCR in a rat IRI model. We used univariate and multivariate Cox regression analyses to establish a prognostic signature, and graft survival analysis was performed. Immune infiltrating landscape analysis and gene set enrichment analysis (GSEA) were performed to understand the underlying mechanisms of graft loss, which suggested that necroptosis may aggravate the immune response, resulting in graft loss. Subsequently, a delayed graft function (DGF) diagnostic signature was constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) and exhibited robust efficacy in validation datasets. After comprehensively analyzing DENRGs during IRI, we successfully constructed a prognostic signature and DGF predictive signature, which may provide clinical insights for kidney transplant.

摘要

缺血再灌注损伤(IRI)是肾移植中不可避免的病理生理现象。坏死性凋亡是肾IRI中一个重要的致病机制。我们首先从公共数据库中筛选差异表达的坏死性凋亡相关基因(DENRGs)。通过独立数据集验证了 8 个 DENRGs,并在大鼠 IRI 模型中通过 qRT-PCR 进行了验证。我们使用单变量和多变量 Cox 回归分析建立了一个预后标志,并进行了移植物存活分析。免疫浸润景观分析和基因集富集分析(GSEA)被用来了解移植物丢失的潜在机制,这表明坏死性凋亡可能加重免疫反应,导致移植物丢失。随后,使用最小绝对值收缩和选择算子(LASSO)构建了一个延迟移植物功能(DGF)诊断标志,在验证数据集中表现出了强大的疗效。在全面分析 IRI 期间的 DENRGs 后,我们成功构建了一个预后标志和 DGF 预测标志,这可能为肾移植提供临床见解。

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