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2020 ◽  
Author(s):  
Dorothy L. Butler ◽  
Jeffrey C. Gildersleeve

AbstractSARS-CoV-2 is a deadly virus that is causing the global pandemic coronavirus disease 2019 (COVID-19). Our immune system plays a critical role in preventing, clearing, and treating the virus, but aberrant immune responses can contribute to deleterious symptoms and mortality. Many aspects of immune responses to SARS-CoV-2 are being investigated, but little is known about immune responses to carbohydrates. Since the surface of the virus is heavily glycosylated, pre-existing antibodies to glycans could potentially recognize the virus and influence disease progression. Furthermore, antibody responses to carbohydrates could be induced, affecting disease severity and clinical outcome. In this study, we used a carbohydrate antigen microarray with over 800 individual components to profile serum anti-glycan antibodies in COVID-19 patients and healthy control subjects. In COVID-19 patients, we observed abnormally high IgG and IgM antibodies to numerous self-glycans, including gangliosides, N-linked glycans, LacNAc-containing glycans, blood group H, and sialyl Lewis X. Some of these anti-glycan antibodies are known to play roles in autoimmune diseases and neurological disorders, which may help explain some of the unusual and prolonged symptoms observed in COVID-19 patients. The detection of antibodies to self-glycans has important implications for using convalescent serum to treat patients, developing safe and effective SARS-CoV-2 vaccines, and understanding the risks of infection. In addition, this study provides new insight into the immune responses to SARS-CoV-2 and illustrates the importance of including host and viral carbohydrate antigens when studying immune responses to viruses.


2019 ◽  
Author(s):  
Jiaxi Chen ◽  
Zhipeng Su ◽  
Chunlei Zhang ◽  
Fenge Li ◽  
Patrick Hwu ◽  
...  

AbstractThe fucose alpha(1,2) galactose structure (H antigen) is synthesized by α1,2 fucosyltransferases Fut1, Fut2 and Sec1. H antigen has been reported to be involved in cancer progression, neurite migration, synaptic plasticity, host-microbe interaction, blastocyst implantation, and the maintenance of gut microbiome. Genetic depletion of Fut1 or Fut2 only cause defects of alpha1,2 fucosylation in limited tissues because of enzyme redundancy. In this study, we generated mice with deficiencies in Fut1, Fut2, and Sec1 genes to deplete H antigen through BAC Engineering for the generation of ES Cell-Targeting construct. The homogenous triple knockout mice showed no significant decrease of viability or development. Mass spectrometry and Western blot analysis confirmed the absence of H blood group antigen in multiple organs. These results indicate normal development and fertility of mice devoid of blood group H. The fine pathophysiological alterations in these mice remain to be carefully studied, and they may serve as valuable tools to study gut microbiome and host-microbe interactions.


2016 ◽  
Vol 34 (6) ◽  
pp. 779-787 ◽  
Author(s):  
Hiromi Nakao ◽  
Shogo Matsumoto ◽  
Yuko Nagai ◽  
Aya Kojima ◽  
Hidenao Toyoda ◽  
...  

2016 ◽  
Vol 52 (20) ◽  
pp. 3899-3902 ◽  
Author(s):  
Chao Zhao ◽  
Yijing Wu ◽  
Hai Yu ◽  
Ishita M. Shah ◽  
Yanhong Li ◽  
...  

LNFP I and human blood H group antigens were synthesized efficientlyviaone-pot multienzyme (OPME) fucosylation with a bacterial α1–2-fucosyltransferase.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2242-2242
Author(s):  
Andy Itsara ◽  
Jill M. Johnsen ◽  
Kerry W Lannert ◽  
Katherine Odem-Davis ◽  
Ayse Bilge Ozel ◽  
...  

Abstract Background: ABO(H) is a carbohydrate blood group system expressed in multiple tissues including red blood cells, blood vessels, and mucosal surfaces. ABO is the largest known genetic modifier of plasma VWF level (VWF:Ag). It has been hypothesized that the effect of ABO on VWF is mediated by H glycan density. FUT2, the gene underlying Secretor phenotype, encodes a glycosyltransferase synthesizing H antigen in mucosal tissues, and variation in the gene has also previously been associated with VWF:Ag, but past studies have been conflicting. To clarify these relationships, we studied the relationship between VWF:Ag, ABH glycans, and FUT2 genotype. Methods: The primary study group was a representative cohort of US blood donors from the Retrovirus Epidemiology Donor Study (REDS, N=499). A validation cohort of unrelated individuals was created from the Genes and Blood Clotting Study (GABC), healthy siblings between ages 14 and 35 years from University of Michigan, Ann Arbor, by choosing a random individual from each family (N=488). VWF:Ag was determined by ELISA in platelet poor plasma. Forensic techniques were adapted to detect ABH glycans in whole blood (REDS) or RBC-rich, frozen buffy coat (GABC). A and B glycans were detected using anti-A or anti-B (Immucor). A biotinylated Ulex europaeus agglutinin (UEA lectin, Vector Labs) was used to detect H. Relative A, B, and H antigen density was quantified on dot blots with ImageQuant (GE). In REDS, functional FUT2 alleles (Secretor) were determined by Sanger sequencing of FUT2 exon 2. FUT2 copy-number was assayed with real-time quantitative PCR. In GABC, FUT2 genotypes were determined through SNP genotyping (Illumina). In REDS, genotype data was phased (BEAGLE) to identify functional haplotypes. In GABC, functional alleles were inferred from the genotypes of two SNPs (rs601338, rs1047781) that determined secretor status in nearly all samples in REDS (see below). Multivariate regression was applied to VWF:Ag as a function H antigen density and O vs. non-O blood group, both separately and within the same model. All models were adjusted for age, gender, and self-reported ethnicity. Results: ABO blood group frequencies in both cohorts were similar to that of the US population. VWF:Ag differed significantly between ABO blood groups with lower values in blood group O versus non-O (REDS: ratio = 0.75, 95% CI [0.71, 0.80], p<2.2e-16, log-linear regression). H glycan density also differed between ABO blood group (p<2.2e-16, Kruskal-Wallis; O vs. non-O, ratio = 2.03, 95% CI [1.88, 2.19], p<2.2e-16). A significant fraction of H glycan density variation was attributable to ABO (REDS r2 =0.45; GABC r2 =0.34), but a wide range of H glycan density was observed in all blood groups, including within blood group O. In multivariate regression, both H glycan density and O versus non-O blood group, considered separately or in the same model, were significantly associated with VWF:Ag (REDS combined model: p = 2.9e-5 and 2.7e-4 for H glycan and blood group, respectively). In GABC but not in REDS, regression was also significant for an interaction between H glycan density and blood group (p = 0.031). Both cohorts estimated a stronger association of VWF:Ag with H in non-O blood groups. FUT2 sequencing in the REDS cohort identified 22 distinct FUT2 haplotypes. 99.5% (497/499) of individuals could be accurately assigned FUT2 genotypes based on the common W154* (rs601338) polymorphism alone. In GABC, this decreased to 94% (476/488) due to higher frequency of a hypomorphic allele (rs1047781) more commonly found in Asian individuals. In REDS, quantitative PCR did not identify copy-number variation at FUT2. There was no significant association between FUT2 genotype-predicted function and VWF:Ag or H glycan density in either cohort. Conclusion: H glycan density correlated with VWF:Ag in both cohorts. H glycan density could mediate the association between ABO blood group and VWF:Ag. If so, this suggests a non-linear, complex relationship between H and VWF and a separate ABO mechanism cannot be excluded. In both cohorts, there was no association of FUT2 (Secretor) genotype with VWF. Our data suggest prior focused approaches to FUT2 genotyping are at risk to undercall non-functional alleles, particularly in cohorts with non-European ancestries. Taken together, these indicate blood group H may be a significant modifier of VWF:Ag, and that this effect is not due to the influence of Secretor phenotype. Disclosures Johnsen: Octapharma: Other: Speaker; Biogen: Research Funding; CSL Behring: Other: Speaker.


Glycobiology ◽  
2011 ◽  
Vol 21 (7) ◽  
pp. 925-933 ◽  
Author(s):  
T. K. Dam ◽  
B. S. Cavada ◽  
C. S. Nagano ◽  
B. A. Rocha ◽  
R. G. Benevides ◽  
...  

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