O-glycosylated HBsAg peptide can induce specific antibody neutralizing HBV infection.

BACKGROUND: Hepatitis B virus (HBV), which causes hepatitis, liver cirrhosis, and hepatocellular carcinoma, is a global human health problem. HBV contains three envelope proteins, S-, M-, and L-hepatitis B surface antigen (HBsAg). We recently found that O-glycosylated M-HBsAg, reactive with jacalin lectin, is one of the primary components of HBV DNA-containing virus particles. Thus, we aimed to analyze and target the glycosylation of HBsAg. METHODS: HBsAg prepared from the serum of Japanese patients with HBV were analyzed using mass spectrometry. The glycopeptide modified with O-glycan was generated and used for immunization. The specificity of the generated antibody and the HBV infection inhibition activity was examined. RESULTS: Mass spectrometry analysis revealed that T37 and/or T38 on M-HBsAg of genotype C were modulated by ±NeuAc(α2,3)Gal(ß1,3)GalNAc. Chemically and enzymatically synthesized O-glycosylated peptide (Glyco-PS2) induced antibodies that recognize mainly PreS2 in M-HBsAg not in L-HBsAg, whereas the non-glycosylated peptide (PS2) induced antisera recognizing L-HBsAg but not O-glycosylated M-HBsAg. The removal of O-glycan from M-HBsAg partly decreased the reactivity of the Glyco-PS2 antibody, suggesting that peptide part was also recognized by the antibody. The antibody further demonstrated the inhibition of HBV infection in human hepatic cells in vitro. CONCLUSIONS: Glycosylation of HBsAg occurs differently in different HBsAgs in a site-specific manner. The new Glyco-PS2 antibody, recognizing O-glycosylated M-HBsAg of genotype C, could inhibit HBV infection. GENERAL SIGNIFICANCE: The detailed analysis of HBsAg identified different glycosylations of HBV surface. The glycosylated peptide based on mass spectrometry analysis showed higher potential to induce functional antibody against HBV.

Discovery of Pancreatic Ductal Adenocarcinoma-Related Aberrant Glycosylations: A Multilateral Approach of Lectin Microarray-Based Tissue Glycomic Profiling With Public Transcriptomic Datasets.

Aberrant protein glycosylation is one of the most notable features in cancerous tissues, and thereby glycoproteins with disease-relevant glycosylation alterations are fascinating targets for the development of biomarkers and therapeutic agents. For this purpose, a reliable strategy is needed for the analysis of glycosylation alterations occurring on specific glycoproteins during the progression of cancer. Here, we propose a bilateral approach combining lectin microarray-based tissue glycomic profiling and database-derived transcriptomic datasets. First, lectin microarray was used to perform differential glycomic profiling of crude extracts derived from non-tumor and tumor regions of frozen tissue sections from pancreatic ductal adenocarcinoma (PDAC). This analysis revealed two notable tissue glycome alterations in PDAC samples: increases in sialylated glycans and bisecting N-acetylglucosamine and a decrease in ABO blood group antigens. To examine aberrations in the glycosylation machinery related to these glycomic alterations, we next employed public datasets of gene expression profiles in cancerous and normal pancreases provided by The Cancer Genome Atlas and the Genotype-Tissue Expression projects, respectively. In this analysis, glycosyltransferases responsible for the glycosylation alterations showed aberrant gene expression in the cancerous tissues, consistent with the tissue glycomic profiles. The correlated alterations in glycosyltransferase expression and tissue glycomics were then evaluated by differential glycan profiling of a membrane N-glycoprotein, basigin, expressed in tumor and non-tumor pancreatic cells. The focused differential glycomic profiling for endogenous basigin derived from non-tumor and cancerous regions of PDAC tissue sections demonstrated that PDAC-relevant glycan alterations of basigin closely reflected the notable features in the disease-specific alterations in the tissue glycomes. In conclusion, the present multi-omics strategy using public transcriptomic datasets and experimental glycomic profiling using a tiny amount of clinical specimens successfully demonstrated that basigin is a representative N-glycoprotein that reflects PDAC-related aberrant glycosylations. This study indicates the usefulness of large public data sets such as the gene expression profiles of glycosylation-related genes for evaluation of the highly sensitive tissue glycomic profiling results. This strategy is expected to be useful for the discovery of novel glyco-biomarkers and glyco-therapeutic targets.

Comparative Glycomic Analysis of Exosome Subpopulations Derived from Pancreatic Cancer Cell Lines.

Extracellular vesicles such as exosomes are generally covered with an array of glycans, which are controlled by the host-cell glyco-synthetic machinery, similar to secreted and membrane glycoproteins. Several exosome subpopulations classified by their tetraspanin expression have been investigated in the context of diseases. However, a comparative analysis of their glycomics has never been attempted. Herein, we report a method for the comparative glycomic analysis of exosome subpopulations among pancreatic cancer cell lines. Glycomic profiles were obtained for extracellular vesicles, secreted glycoproteins, and membrane glycoproteins from eight cell lines. Statistical analyses revealed high populations of PHA-L-binding proteins in the vesicles. The surfaces of extracellular vesicles were labeled with Cy3 and captured by magnetic beads with antibodies against tetraspanins (CD9, CD63, and CD81). The coprecipitated vesicles were lysed and subjected to a lectin microarray analysis. A hierarchical clustering analysis using 19 glycomic profiles confirmed that most subpopulations, except CD81-positive exosomes, could be distinguished according to the host-cell species. Principal component analysis and subsequent lectin-affinity capturing of intact exosomes highlighted that CD81-positive exosomes preferentially expressed not PHA-L- but LEL-binding proteins on their surfaces. These data suggested that exosomal glycomics depended on the host-cell type and subpopulation.

Lectin microarray analyses reveal host cell-specific glycan profiles of the hemagglutinins of influenza A viruses.

Glycan structures on hemagglutinin (HA) of influenza A viruses have been analyzed previously to understand their significance. However, the formerly established methods using mass spectrometry present disadvantages such as procedure complexity, sensitivity, and throughput. Our study has established a novel method for analyzing glycan profiles of HA using lectin microarray techniques. We successfully obtained glycan profiles of HA starting from 1 ml of the 106 TCID50 samples through simple antigen enrichment using optimized immunoprecipitation. The profiles were reasonably consistent with known glycan structures of HA. Next, we compared glycan profiles of the HAs prepared from chicken embryos, MDCK, Vero, and A549 cells, and demonstrated the host cell-specific HA glycan profiles. Notably, the HA from MDCK cells was α1-3 galactosylated. Our method provides a highly sensitive and simple procedure for glycan profiling of the viral glycoproteins, thereby paving way for direct glycan analyses of human- and animal-derived virions.

Highly Sensitive Glycan Profiling of Hepatitis B Viral Particles and a Simple Method for Dane Particle Enrichment.

Hepatitis B virus (HBV) is a double-stranded DNA virus composed of three types of viral particles. The virions are called Dane particles and the others are noninfectious subviral particles (SVPs). In blood, SVPs are detected in abundance, about 1000-10000 fold higher than Dane particles. Dane particles are hazardous because of their strong infectivity, unlike SVPs. Dane particles are covered with an envelope of glycoprotein called HBV surface antigen (HBsAg). HBsAg glycosylation is involved in viral particle formation and secretion. In this study, we established a novel and highly sensitive method for viral glycan profiling of HBsAg using small aliquots of patient serum. Our lectin microarray system could sensitively profile the glycans exposed on HBV while retaining the intact viral particle structure under nonreducing conditions. Several typical lectins were chosen from the lectin microarray results. Specifically, jacalin, which recognizes O-glycan, showed specific and strong reactivity to the M-HBsAg required for Dane particle secretion. Employing the lectin-fractionation method using jacalin, HBV particles were fractionated into jacalin-bound and unbound fractions from patient serum. We measured HBsAg titer and viral DNA load in each fraction using clinical tests. Interestingly, the jacalin-bound fraction contained a major fraction of the HBV viral DNA load. Thus, in this study we have presented a glycan profiling method for HBsAg on the intact HBV particle and an easy and simple method to enrich Dane particles from patient serum by jacalin fractionation.

Evaluation of the Predictive Validity of Thermography in Identifying Extravasation With Intravenous Chemotherapy Infusions.

Early detection of extravasation is important, but conventional methods of detection lack objectivity and reliability. This study evaluated the predictive validity of thermography for identifying extravasation during intravenous antineoplastic therapy. Of 257 patients who received chemotherapy through peripheral veins, extravasation was identified in 26. Thermography was performed every 15 to 30 minutes during the infusions. Sensitivity, specificity, positive predictive value, and negative predictive value using thermography were 84.6%, 94.8%, 64.7%, and 98.2%, respectively. This study showed that thermography offers an accurate prediction of extravasation.

Receptor activator of NF-κB ligand induces cell adhesion and integrin α2 expression via NF-κB in head and neck cancers.

Cellular interactions with the extracellular matrix play critical roles in tumor progression. We previously reported that receptor activator of NF-κB ligand (RANKL) specifically facilitates head and neck squamous cell carcinoma (HNSCC) progression in vivo. Here, we report a novel role for RANKL in the regulation of cell adhesion. Among the major type I collagen receptors, integrin α2 was significantly upregulated in RANKL-expressing cells, and its knockdown suppressed cell adhesion. The mRNA abundance of integrin α2 positively correlated with that of RANKL in human HNSCC tissues. We also revealed that RANK-NF-κB signaling mediated integrin α2 expression in an autocrine/paracrine manner. Interestingly, the amount of active integrin ß1 on the cell surface was increased in RANKL-expressing cells through the upregulation of integrin α2 and endocytosis. Moreover, the RANK-integrin α2 pathway contributed to RANKL-dependent enhanced survival in a collagen gel and inhibited apoptosis in a xenograft model, demonstrating an important role for RANKL-mediated cell adhesion in three-dimensional environments.