Literature DB >> 33666655

Characterization and statistical modeling of glycosylation changes in sickle cell disease.

Heather E Ashwood1, Christopher Ashwood2, Anna P Schmidt1, Rebekah L Gundry2,3, Karin M Hoffmeister1,2, Waseem Q Anani4,5.   

Abstract

Sickle cell disease is an inherited genetic disorder that causes anemia, pain crises, organ infarction, and infections in 13 million people worldwide. Previous studies have revealed changes in sialic acid levels associated with red blood cell sickling and showed that stressed red blood cells bare surface-exposed clustered terminal mannose structures mediating hemolysis, but detailed glycan structures and anti-glycan antibodies in sickle cell disease remain understudied. Here, we compiled results obtained through lectin arrays, glycan arrays, and mass spectrometry to interrogate red blood cell glycoproteins and glycan-binding proteins found in the plasma of healthy individuals and patients with sickle cell disease and sickle cell trait. Lectin arrays and mass spectrometry revealed an increase in α2,6 sialylation and a decrease in α2,3 sialylation and blood group antigens displayed on red blood cells. Increased binding of proteins to immunogenic asialo and sialyl core 1, Lewis A, and Lewis Y structures was observed in plasma from patients with sickle cell disease, suggesting a heightened anti-glycan immune response. Data modeling affirmed glycan expression and plasma protein binding changes in sickle cell disease but additionally revealed further changes in ABO blood group expression. Our data provide detailed insights into glycan changes associated with sickle cell disease and refer glycans as potential therapeutic targets.
© 2021 by The American Society of Hematology.

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Year:  2021        PMID: 33666655      PMCID: PMC7948272          DOI: 10.1182/bloodadvances.2020003376

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  77 in total

1.  Randomized phase 2 study of GMI-1070 in SCD: reduction in time to resolution of vaso-occlusive events and decreased opioid use.

Authors:  Marilyn J Telen; Ted Wun; Timothy L McCavit; Laura M De Castro; Lakshmanan Krishnamurti; Sophie Lanzkron; Lewis L Hsu; Wally R Smith; Seungshin Rhee; John L Magnani; Helen Thackray
Journal:  Blood       Date:  2015-03-02       Impact factor: 22.113

Review 2.  Cellular adhesion and the endothelium: E-selectin, L-selectin, and pan-selectin inhibitors.

Authors:  Marilyn J Telen
Journal:  Hematol Oncol Clin North Am       Date:  2014-01-17       Impact factor: 3.722

Review 3.  Sickle cell disease.

Authors:  Gregory J Kato; Frédéric B Piel; Clarice D Reid; Marilyn H Gaston; Kwaku Ohene-Frempong; Lakshmanan Krishnamurti; Wally R Smith; Julie A Panepinto; David J Weatherall; Fernando F Costa; Elliott P Vichinsky
Journal:  Nat Rev Dis Primers       Date:  2018-03-15       Impact factor: 52.329

Review 4.  Lectin-based structural glycomics: a practical approach to complex glycans.

Authors:  Jun Hirabayashi; Atsushi Kuno; Hiroaki Tateno
Journal:  Electrophoresis       Date:  2011-05       Impact factor: 3.535

5.  Structural analysis of N- and O-glycans released from glycoproteins.

Authors:  Pia H Jensen; Niclas G Karlsson; Daniel Kolarich; Nicolle H Packer
Journal:  Nat Protoc       Date:  2012-06-07       Impact factor: 13.491

Review 6.  Emerging Genetic Therapy for Sickle Cell Disease.

Authors:  Stuart H Orkin; Daniel E Bauer
Journal:  Annu Rev Med       Date:  2018-10-24       Impact factor: 13.739

7.  Expression of the developmental I antigen by a cloned human cDNA encoding a member of a beta-1,6-N-acetylglucosaminyltransferase gene family.

Authors:  M F Bierhuizen; M G Mattei; M Fukuda
Journal:  Genes Dev       Date:  1993-03       Impact factor: 11.361

8.  GlycoWorkbench: a tool for the computer-assisted annotation of mass spectra of glycans.

Authors:  Alessio Ceroni; Kai Maass; Hildegard Geyer; Rudolf Geyer; Anne Dell; Stuart M Haslam
Journal:  J Proteome Res       Date:  2008-03-01       Impact factor: 4.466

9.  Factors Affecting Anti-Glycan IgG and IgM Repertoires in Human Serum.

Authors:  Saddam M Muthana; Jeffrey C Gildersleeve
Journal:  Sci Rep       Date:  2016-01-19       Impact factor: 4.379

10.  All major cholesterol-dependent cytolysins use glycans as cellular receptors.

Authors:  Lucy K Shewell; Christopher J Day; Freda E-C Jen; Thomas Haselhorst; John M Atack; Josephine F Reijneveld; Arun Everest-Dass; David B A James; Kristina M Boguslawski; Stephan Brouwer; Christine M Gillen; Zhenyao Luo; Bostjan Kobe; Victor Nizet; Mark von Itzstein; Mark J Walker; Adrienne W Paton; James C Paton; Victor J Torres; Michael P Jennings
Journal:  Sci Adv       Date:  2020-05-22       Impact factor: 14.136

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