Literature DB >> 15877729

Predicting clinical severity in sickle cell anaemia.

M H Steinberg1.   

Abstract

The ability to predict the phenotype of an individual with sickle cell anaemia would allow a reliable prognosis and could guide therapeutic decision making. Some risk factors for individual disease complications are known but are insufficiently precise to use for prognostic purposes; predicting the global disease severity is not yet possible. Genetic association studies, which attempt to link gene polymorphisms with selected disease subphenotypes, may eventually provide useful methods of foretelling the likelihood of certain complications and allow better individualized treatment.

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Year:  2005        PMID: 15877729     DOI: 10.1111/j.1365-2141.2005.05411.x

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  92 in total

1.  Free heme and the polymerization of sickle cell hemoglobin.

Authors:  Veselina V Uzunova; Weichun Pan; Oleg Galkin; Peter G Vekilov
Journal:  Biophys J       Date:  2010-09-22       Impact factor: 4.033

Review 2.  Genetic modifiers of sickle cell disease.

Authors:  Martin H Steinberg; Paola Sebastiani
Journal:  Am J Hematol       Date:  2012-05-28       Impact factor: 10.047

3.  Evaluation of safety and pharmacokinetics of sodium 2,2 dimethylbutyrate, a novel short chain fatty acid derivative, in a phase 1, double-blind, placebo-controlled, single-dose, and repeat-dose studies in healthy volunteers.

Authors:  Susan P Perrine; William A Wargin; Michael S Boosalis; Wayne J Wallis; Sally Case; Jeffrey R Keefer; Douglas V Faller; William C Welch; Ronald J Berenson
Journal:  J Clin Pharmacol       Date:  2011-03-21       Impact factor: 3.126

4.  Two-step mechanism of homogeneous nucleation of sickle cell hemoglobin polymers.

Authors:  Oleg Galkin; Weichun Pan; Luis Filobelo; Rhoda Elison Hirsch; Ronald L Nagel; Peter G Vekilov
Journal:  Biophys J       Date:  2007-04-20       Impact factor: 4.033

Review 5.  Hemoglobin research and the origins of molecular medicine.

Authors:  Alan N Schechter
Journal:  Blood       Date:  2008-11-15       Impact factor: 22.113

6.  Metformin induces FOXO3-dependent fetal hemoglobin production in human primary erythroid cells.

Authors:  Yankai Zhang; Alireza Paikari; Pavel Sumazin; Carly C Ginter Summarell; Jacy R Crosby; Eric Boerwinkle; Mitchell J Weiss; Vivien A Sheehan
Journal:  Blood       Date:  2018-06-08       Impact factor: 22.113

7.  Pain site frequency and location in sickle cell disease: the PiSCES project.

Authors:  Donna K McClish; Wally R Smith; Bassam A Dahman; James L Levenson; John D Roberts; Lynne T Penberthy; Imoigele P Aisiku; Susan D Roseff; Viktor E Bovbjerg
Journal:  Pain       Date:  2009-07-23       Impact factor: 6.961

8.  High-density SNP genotyping to define beta-globin locus haplotypes.

Authors:  Li Liu; Shalini Muralidhar; Manisha Singh; Caprice Sylvan; Inderdeep S Kalra; Charles T Quinn; Onyinye C Onyekwere; Betty S Pace
Journal:  Blood Cells Mol Dis       Date:  2008-10-01       Impact factor: 3.039

9.  Utility of WHOQOL-BREF in measuring quality of life in sickle cell disease.

Authors:  Monika R Asnani; Garth E Lipps; Marvin E Reid
Journal:  Health Qual Life Outcomes       Date:  2009-08-10       Impact factor: 3.186

10.  Sickle Cell Disease in the Post Genomic Era: A Monogenic Disease with a Polygenic Phenotype.

Authors:  A Driss; K O Asare; J M Hibbert; B E Gee; T V Adamkiewicz; J K Stiles
Journal:  Genomics Insights       Date:  2009-07-30
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