抽象的
背景:慢性肺部交易障碍(包层)的发展是肺移植(LT)后具有良好同种异体移植功能(LTS)的长期存活的主要限制。本研究的目的是鉴定白细胞群和开发一种允许LTS患者的基因模型。
方法:The cell markers and mRNA expression levels were compared between LTS (n=30) and CLAD patients (n=30) using flow cytometry and microarray techniques. Gene classifiers were built using supervised machine learning methodology and the expression of selected classifier-genes was confirmed by RT-qPCR.
Results:In LTS patients, the percentages of CD14高的CD16-monocytes, CD56+CD16-NK cells, CD4-CD8.-αβ T cell subset and CD62L+粒细胞升高而每centage of Vδ1+γδ T cell subpopulation was significantly decreased. The computational process led to the identification of the 25 most relevant genes for LT recipients classification. LASSO method with the 25 classifier genes yielded the optimal results with an Area Under the Curve of 0.87 (sensitivity 0.79 and specificity 0.80). RT-qPCR analysis confirmed the differential expression of 17/18 of the genes selected from the microarrays. The combination of these markers in a model could ultimately improve classification performance.
结论:This study identifies a set of lymphocyte subsets and genes associated with LTS after LT which should be validated in an independent LT cohort. The combination of these markers may have utility as a medical tool for safe immunosuppression minimization in LT population.
Study financed by ISC III (PI13/01076), FEDER, FUCAP, Astellas, Novartis and Chiesi.
脚注
Cite this article as: European Respiratory Journal 2019; 54: Suppl. 63, PA3355.
This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available atwww.ers-education.org.(ERS member access only).
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