Sphingosine 1-Phosphate Signaling and Its Pharmacological Modulation in Allogeneic Hematopoietic Stem Cell Transplantation.
Philip SmithCatherine O'SullivanPeter GergelyPublished in: International journal of molecular sciences (2017)
Allogeneic haemopoietic stem cell transplantation (HSCT) is increasingly used to treat haematological malignant diseases via the graft-versus-leukaemia (GvL) or graft-versus-tumour effects. Although improvements in infectious disease prophylaxis, immunosuppressive treatments, supportive care, and molecular based tissue typing have contributed to enhanced outcomes, acute graft-versus-host disease and other transplant related complications still contribute to high mortality and significantly limit the more widespread use of HSCT. Sphingosine 1-phosphate (S1P) is a zwitterionic lysophospholipid that has been implicated as a crucial signaling regulator in many physiological and pathophysiological processes including multiple cell types such as macrophages, dendritic cells, T cells, T regulatory cells and endothelial cells. Recent data suggested important roles for S1P signaling in engraftment, graft-versus-host disease (GvHD), GvL and other processes that occur during and after HSCT. Based on such data, pharmacological intervention via S1P modulation may have the potential to improve patient outcome by regulating GvHD and enhancing engraftment while permitting effective GvL.
Keyphrases
- stem cell transplantation
- allogeneic hematopoietic stem cell transplantation
- hematopoietic stem cell
- dendritic cells
- high dose
- acute lymphoblastic leukemia
- endothelial cells
- acute myeloid leukemia
- infectious diseases
- electronic health record
- randomized controlled trial
- induced apoptosis
- transcription factor
- big data
- healthcare
- risk factors
- palliative care
- type diabetes
- single cell
- case report
- cardiovascular disease
- bone marrow
- metabolic syndrome
- risk assessment
- coronary artery disease
- immune response
- vascular endothelial growth factor
- drug induced
- low dose
- insulin resistance
- artificial intelligence
- cell proliferation
- human health
- pain management
- regulatory t cells
- climate change
- oxidative stress
- high glucose
- data analysis
- deep learning
- weight loss
- affordable care act