Impairment of bone marrow endothelial progenitor cells in acute graft-versus-host disease patients after allotransplant.
Xie-Na CaoYuan KongYang SongMin-Min ShiHong-Yan ZhaoQi WenZhong-Shi LyuCai-Wen DuanYu WangLan-Ping XuXiao-Hui ZhangXiao-Jun HuangPublished in: British journal of haematology (2018)
Graft-versus-host disease (GVHD) is a major complication after allogeneic haematopoietic stem cell transplantation (allo-HSCT) that is frequently associated with bone marrow (BM) suppression, and clinical management is challenging. BM endothelial progenitor cells (EPCs) play crucial roles in the regulation of haematopoiesis and thrombopoiesis. However, little is known regarding the functional roles of BM EPCs in acute GVHD (aGVHD) patients. In the current prospective case-control study, reduced and dysfunctional BM EPCs, characterized by decreased migration and angiogenesis capacities and increased levels of reactive oxygen species (ROS) and apoptosis, were found in aGVHD patients compared with those without aGVHD. Moreover, lower frequency and increased levels of ROS, apoptosis and DNA damage, but reduced colony-forming unit-plating efficiency were found in BM CD34+ cells of aGVHD patients compared with those without aGVHD. The severity of aGVHD and GVHD-mediated cytopenia was associated with BM EPC impairment in aGVHD patients. In addition, the EPC impairment positively correlated with ROS level. Taken together, our results suggest that reduced and dysfunctional BM EPCs may be involved in the pathogenesis of aGVHD. Although these findings require validation, our data indicate that improvement of BM EPCs may represent a promising therapeutic approach for aGVHD patients.
Keyphrases
- end stage renal disease
- bone marrow
- dna damage
- ejection fraction
- stem cell transplantation
- chronic kidney disease
- newly diagnosed
- oxidative stress
- prognostic factors
- peritoneal dialysis
- cell death
- intensive care unit
- cell cycle arrest
- mesenchymal stem cells
- acute lymphoblastic leukemia
- endoplasmic reticulum stress
- machine learning
- hepatitis b virus
- artificial intelligence
- wound healing
- vascular endothelial growth factor
- patient reported