Literature DB >> 33015364

Sickle cell disease in the era of precision medicine: looking to the future.

Martin H Steinberg1, Sara Kumar1, George J Murphy1, Kim Vanuytsel1.   

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. 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. 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.

Entities:  

Keywords:  Fetal hemoglobin; GWAS; SNPs; genetic signatures; hemolysis; iPSCs; vasoocclusion

Year:  2019        PMID: 33015364      PMCID: PMC7531762          DOI: 10.1080/23808993.2019.1688658

Source DB:  PubMed          Journal:  Expert Rev Precis Med Drug Dev        ISSN: 2380-8993


  75 in total

1.  Genetic predictors for stroke in children with sickle cell anemia.

Authors:  Jonathan M Flanagan; Denise M Frohlich; Thad A Howard; William H Schultz; Catherine Driscoll; Ramamoorthy Nagasubramanian; Nicole A Mortier; Amy C Kimble; Banu Aygun; Robert J Adams; Ronald W Helms; Russell E Ware
Journal:  Blood       Date:  2011-04-22       Impact factor: 22.113

Review 2.  When there is no match, the game is not over: Alternative donor options for hematopoietic stem cell transplantation in sickle cell disease.

Authors:  Jacinth J Joseph; Allistair A Abraham; Courtney D Fitzhugh
Journal:  Semin Hematol       Date:  2018-05-03       Impact factor: 3.851

3.  Robust clinical and laboratory response to hydroxyurea using pharmacokinetically guided dosing for young children with sickle cell anemia.

Authors:  Patrick T McGann; Omar Niss; Min Dong; Anu Marahatta; Thad A Howard; Tomoyuki Mizuno; Adam Lane; Theodosia A Kalfa; Punam Malik; Charles T Quinn; Russell E Ware; Alexander A Vinks
Journal:  Am J Hematol       Date:  2019-06-12       Impact factor: 10.047

4.  Fetal hemoglobin in sickle cell anemia: determinants of response to hydroxyurea. Multicenter Study of Hydroxyurea.

Authors:  M H Steinberg; Z H Lu; F B Barton; M L Terrin; S Charache; G J Dover
Journal:  Blood       Date:  1997-02-01       Impact factor: 22.113

Review 5.  Promise of gene therapy to treat sickle cell disease.

Authors:  Zulema Romero; Mark DeWitt; Mark C Walters
Journal:  Expert Opin Biol Ther       Date:  2018-10-19       Impact factor: 4.388

6.  Induced pluripotent stem cell-based mapping of β-globin expression throughout human erythropoietic development.

Authors:  Kim Vanuytsel; Taylor Matte; Amy Leung; Zaw Htut Naing; Tasha Morrison; David H K Chui; Martin H Steinberg; George J Murphy
Journal:  Blood Adv       Date:  2018-08-14

7.  Association of circulating transcriptomic profiles with mortality in sickle cell disease.

Authors:  Ankit A Desai; Zhengdeng Lei; Neil Bahroos; Mark Maienschein-Cline; Santosh L Saraf; Xu Zhang; Binal N Shah; Seyed M Nouraie; Taimur Abbasi; Amit R Patel; Roberto M Lang; Yves Lussier; Joe G N Garcia; Victor R Gordeuk; Roberto F Machado
Journal:  Blood       Date:  2017-04-03       Impact factor: 22.113

8.  DNA polymorphisms at the BCL11A, HBS1L-MYB, and beta-globin loci associate with fetal hemoglobin levels and pain crises in sickle cell disease.

Authors:  Guillaume Lettre; Vijay G Sankaran; Marcos André C Bezerra; Aderson S Araújo; Manuela Uda; Serena Sanna; Antonio Cao; David Schlessinger; Fernando F Costa; Joel N Hirschhorn; Stuart H Orkin
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-30       Impact factor: 11.205

9.  A network model to predict the risk of death in sickle cell disease.

Authors:  Paola Sebastiani; Vikki G Nolan; Clinton T Baldwin; Maria M Abad-Grau; Ling Wang; Adeboye H Adewoye; Lillian C McMahon; Lindsay A Farrer; James G Taylor; Gregory J Kato; Mark T Gladwin; Martin H Steinberg
Journal:  Blood       Date:  2007-06-28       Impact factor: 22.113

10.  Common α-globin variants modify hematologic and other clinical phenotypes in sickle cell trait and disease.

Authors:  Laura M Raffield; Jacob C Ulirsch; Rakhi P Naik; Samuel Lessard; Robert E Handsaker; Deepti Jain; Hyun M Kang; Nathan Pankratz; Paul L Auer; Erik L Bao; Joshua D Smith; Leslie A Lange; Ethan M Lange; Yun Li; Timothy A Thornton; Bessie A Young; Goncalo R Abecasis; Cathy C Laurie; Deborah A Nickerson; Steven A McCarroll; Adolfo Correa; James G Wilson; Guillaume Lettre; Vijay G Sankaran; Alex P Reiner
Journal:  PLoS Genet       Date:  2018-03-28       Impact factor: 5.917

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  2 in total

Review 1.  Microfluidic methods to advance mechanistic understanding and translational research in sickle cell disease.

Authors:  Melissa Azul; Eudorah F Vital; Wilbur A Lam; David K Wood; Joan D Beckman
Journal:  Transl Res       Date:  2022-03-27       Impact factor: 10.171

2.  Automated Oxygen Gradient Ektacytometry: A Novel Biomarker in Sickle Cell Anemia.

Authors:  Alina Sadaf; Katie G Seu; Elizabeth Thaman; Rose Fessler; Diamantis G Konstantinidis; Holly A Bonar; Jennifer Korpik; Russell E Ware; Patrick T McGann; Charles T Quinn; Theodosia A Kalfa
Journal:  Front Physiol       Date:  2021-03-25       Impact factor: 4.566

  2 in total

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