Pulmonary Hypertension in Sickle Cell Disease: Novel Findings of Gene Polymorphisms Related to Pathophysiology.
Sevastianos HatzidavidPagona FlevariIoanna TombrouGeorgios AnastasiadisMaria Dimopoulounull nullPublished in: International journal of molecular sciences (2024)
Pulmonary hypertension (PH) is a progressive and potentially fatal complication of sickle cell disease (SCD), affecting 6-10% of adult SCD patients. Various mechanisms and theories have been evaluated to explain the pathophysiology of this disease. However, questions remain, particularly regarding the clinical heterogeneity of the disease in terms of symptoms, complications, and survival. Beyond the classical mechanisms that have been thoroughly investigated and include hemolysis, nitric oxide availability, endothelial disorders, thrombosis, and left heart failure, attention is currently focused on the potential role of genes involved in such processes. Potential candidate genes are investigated through next-generation sequencing, with the transforming growth factor-beta (TGF-β) pathway being the initial target. This field of research may also provide novel targets for pharmacologic agents in the future, as is already the case with idiopathic PH. The collection and processing of data and samples from multiple centers can yield reliable results that will allow a better understanding of SCD-related PH as a part of the disease's clinical spectrum. This review attempts to capture the most recent findings of studies on gene polymorphisms that have been associated with PH in SCD patients.
Keyphrases
- sickle cell disease
- transforming growth factor
- pulmonary hypertension
- heart failure
- end stage renal disease
- nitric oxide
- ejection fraction
- newly diagnosed
- chronic kidney disease
- epithelial mesenchymal transition
- peritoneal dialysis
- prognostic factors
- pulmonary arterial hypertension
- working memory
- gene expression
- pulmonary artery
- physical activity
- risk factors
- big data
- risk assessment
- depressive symptoms
- coronary artery
- copy number
- nitric oxide synthase
- atomic force microscopy
- current status
- deep learning
- climate change