Vascular and perivascular niches, but not the osteoblastic niche, are numerically restored following allogeneic hematopoietic stem cell transplantation in patients with aplastic anemia.
Liangliang WuWenjian MoYuping ZhangMing ZhouYumiao LiRuiqing ZhouShiling XuShiyi PanHui DengPing MaoShunqing WangPublished in: International journal of hematology (2017)
Bone marrow (BM) niches, including the osteoblastic, vascular, and perivascular niches, are numerically impaired in patients with aplastic anemia (AA). It remains unclear whether these niches are numerically restored in AA patients after allogenic hematopoietic stem cell transplantation (allo-HSCT). To investigate changes in BM niches, we monitored 52 patients with AA who had undergone allo-HSCT and performed immunohistochemical studies of BM niches using antibodies against CD34, CD146, and osteopontin. After allo-HSCT, patients with AA exhibited a remarkable increase in the number of cellular elements in the BM niches, including the vascular and perivascular cells. However, no significant differences in endosteal cells were detected. We explored the cause of this restoration by analyzing the origin of BM mesenchymal stem cells (BM-MSCs) and the expression of cytokines in BM plasma. STR-PCR revealed that the BM-MSCs were derived from the host, not the donor. In addition, significantly elevated levels of vascular endothelial growth factor (VEGF) were found after allo-HSCT. Our data indicates that vascular and perivascular niches are numerically restored, but the endosteal niche remains numerically impaired in patients with AA after allo-HSCT, and that levels of VEGF, but not donor-derived BM-MSCs, may correlate with the restoration of BM niches.
Keyphrases
- mesenchymal stem cells
- vascular endothelial growth factor
- allogeneic hematopoietic stem cell transplantation
- bone marrow
- umbilical cord
- chronic kidney disease
- end stage renal disease
- acute myeloid leukemia
- induced apoptosis
- endothelial cells
- hematopoietic stem cell
- acute lymphoblastic leukemia
- poor prognosis
- machine learning
- newly diagnosed
- signaling pathway
- cell therapy
- long non coding rna
- single cell
- oxidative stress
- deep learning
- artificial intelligence
- peritoneal dialysis
- angiotensin ii
- data analysis