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Sickle cell disease in the era of precision medicine: looking to the future.
- Source :
-
Expert review of precision medicine and drug development [Expert Rev Precis Med Drug Dev] 2019; Vol. 4 (6), pp. 357-367. Date of Electronic Publication: 2019 Nov 07. - Publication Year :
- 2019
-
Abstract
- Introduction: Sickle cell anemia is a mendelian disease that is noted for the heterogeneity of its clinical expression. Because of this, providing an accurate prognosis has been a longtime quest.<br />Areas Covered: Reviewed are the benefits and shortcomings of testing for the major modulators of the severity of disease, like fetal hemoglobin and α thalassemia, along with studies that have attempted to link genetic variation with sub-phenotypes of disease in a predictive fashion. Induced pluripotent stem cells driven to differentiate into erythroid precursor cells provide another area for potential patient-specific drug testing.<br />Expert Opinion: Fetal hemoglobin is the strongest modulator of sickle cell anemia but simply measuring its blood levels is an insufficient means of forecasting an individual's prognosis. A more precise method would be to know the distribution of fetal hemoglobin levels across the population of red cells, an assay not yet available. Prognostic measures have been developed using genetic and other signatures, but their predictive value is suboptimal. Widely applicable assays must be developed to allow a tailored approach to using the several new treatments that are likely to be available in the near future.<br />Competing Interests: Declaration of interest The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
Details
- Language :
- English
- ISSN :
- 2380-8993
- Volume :
- 4
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Expert review of precision medicine and drug development
- Publication Type :
- Academic Journal
- Accession number :
- 33015364
- Full Text :
- https://doi.org/10.1080/23808993.2019.1688658