Gene expression profiling in PBMCs for acute rejection in lung transplant recipients reveals myeloid responses.

Frontiers in transplantation Pub Date : 2024-12-18 eCollection Date: 2024-01-01 DOI:10.3389/frtra.2024.1508419
Siqi Liu, Johanna Westra, Shixian Hu, Erik A M Verschuuren, Léon C van Kempen, Debbie van Baarle, Nico A Bos
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Abstract

The acute rejection (AR) diagnosis depends on transbronchial biopsy, which is semi-invasive and not easily performed. Our study used the Nanostring gene expression technology on PBMCs obtained from lung transplant recipients (LTRs) to search for biomarkers. We identified distinct differential gene profiles between patients with stable status (STA) and AR. Subsequently, we independently evaluated monocyte compositions in PBMCs using flow cytometry and assessed the levels of 7 chemokines in serum using Luminex. The 48 top differentially expressed genes (DEGs) were identified, utilizing a criterion of at least a 1.5-fold change between two groups, with a false discovery rate (FDR) p-Adj < 0.05. Of these 48 genes, the top 10 genes with the highest fold changes and significant p-values were selected for qPCR validation. CD68, ANXA1, ITGB, and IFI30 can be confirmed among the validated genes. A significantly lower percentage of CD14 + CD16- classical monocytes was observed in AR than in STA patients, which aligns with downregulated DEGs. Many of the DEGs were related to monocytes-macrophages and chemokines. Although these results still need to be confirmed in larger cohorts, they suggest that gene profiling of PBMC can help to identify markers related to AR in LTRs.

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肺移植受者急性排斥反应的PBMCs基因表达谱揭示髓系反应。
急性排斥反应(AR)的诊断依赖于经支气管活检,这是半侵入性的,不容易进行。本研究利用纳米链基因表达技术在肺移植受者外周血中寻找生物标志物。我们确定了稳定状态(STA)和AR患者之间明显的差异基因谱。随后,我们使用流式细胞术独立评估了pbmc中的单核细胞组成,并使用Luminex评估了血清中7种趋化因子的水平。利用两组之间至少1.5倍变化的标准,鉴定出48个顶级差异表达基因(DEGs),并选择错误发现率(FDR) p-Adj p值进行qPCR验证。CD68、ANXA1、ITGB和IFI30均可被证实。AR患者的CD14 + CD16-经典单核细胞比例明显低于STA患者,这与deg下调一致。许多deg与单核巨噬细胞和趋化因子有关。尽管这些结果仍需要在更大的队列中得到证实,但它们表明PBMC的基因谱可以帮助识别ltr中与AR相关的标记。
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