Department of Respiratory Medicine, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands.
Lung Transplant Unit, Department of Chronic Diseases, Metabolism & Ageing (CHROMETA), Katholieke Universiteit Leuven, Leuven, Belgium.
Curr Opin Pulm Med. 2019 May;25(3):308-316. doi: 10.1097/MCP.0000000000000579.
Lung transplantation (LTx) can be a life saving treatment in end-stage pulmonary diseases, but survival after transplantation is still limited. Posttransplant development of chronic lung allograft dysfunction with bronchiolits obliterans syndrome (BOS) as the major subphenotype, is the main cause of morbidity and mortality. Early identification of high-risk patients for BOS is a large unmet clinical need. In this review, we discuss gene polymorphisms and gene expression related to the development of BOS.
Candidate gene studies showed that donor and recipient gene polymorphisms affect transplant outcome and BOS-free survival after LTx. Both selective and nonselective gene expression studies revealed differentially expressed fibrosis and apoptosis-related genes in BOS compared with non-BOS patients. Significantly, recent microarray expression analysis of blood and broncho-alveolar lavage suggest a role for B-cell and T-cell responses prior to the development of BOS. Furthermore, 6 months prior to the development of BOS differentially expressed genes were identified in peripheral blood cells.
Genetic polymorphisms and gene expression changes are associated with the development of BOS. Future genome wide studies are needed to identify easily accessible biomarkers for prediction of BOS toward precision medicine.
肺移植(LTx)是治疗终末期肺部疾病的一种救命疗法,但移植后的存活率仍然有限。移植后慢性肺移植物功能障碍的发展,以闭塞性细支气管炎综合征(BOS)为主要亚表型,是发病率和死亡率的主要原因。早期识别发生 BOS 的高危患者是一个巨大的未满足的临床需求。在这篇综述中,我们讨论了与 BOS 发展相关的基因多态性和基因表达。
候选基因研究表明,供体和受体的基因多态性影响移植结果和 LTx 后的 BOS 无生存。选择性和非选择性基因表达研究都表明,与非 BOS 患者相比,BOS 患者的纤维化和细胞凋亡相关基因存在差异表达。值得注意的是,最近对血液和支气管肺泡灌洗液的基因表达微阵列分析表明,在发生 BOS 之前存在 B 细胞和 T 细胞反应。此外,在发生 BOS 之前的 6 个月,在外周血细胞中发现了差异表达的基因。
遗传多态性和基因表达变化与 BOS 的发展有关。未来需要进行全基因组研究,以确定易于获得的生物标志物,用于预测 BOS,以实现精准医学。