Targeting the glycan epitope type I N-acetyllactosamine enables immunodepletion of human pluripotent stem cells from early differentiated cells.

Cell surface biomarkers are fundamental for specific characterization of human pluripotent stem cells (hPSCs). Importantly, they can be applied for hPSC enrichment and/or purification but also to remove potentially teratoma-forming hPSCs from differentiated populations before clinical application. Several specific markers for hPSCs are glycoconjugates comprising the glycosphingolipid (GSL)-based glycans SSEA-3 and SSEA-4. We applied an analytical approach based on multiplexed capillary gel electrophoresis coupled to laser-induced fluorescence detection to quantitatively assess the GSL glycome of human embryonic stem cells and human induced pluripotent stem cells as well as during early stages of differentiation into mesoderm, endoderm, and ectoderm. Thereby, we identified the GSL lacto-N-tetraosylceramide (Lc4-Cer, Galß1-3GlcNAcß1-3Galß1-4Glc-Cer), which comprises a terminal type 1 LacNAc (T1LN) structure (Galß1-3GlcNAc), to be rapidly decreased upon onset of differentiation. Using a specific antibody, we could confirm a decline of T1LN-terminating glycans during the first four days of differentiation by live-cell staining and subsequent flow cytometry. We could further separate T1LN-positive and T1LN-negative cells out of a mixed population of pluripotent and differentiated cells by magnetic activated cell sorting. Notably, not only the T1LN-positive but also the T1LN-negative population was positive for SSEA-3, SSEA-4, and SSEA-5 while expression of nuclear pluripotency markers OCT4 and NANOG was highly reduced in the T1LN-negative population, exclusively. Our findings suggest T1LN as a pluripotent stem cell-specific glycan epitope that is more rapidly down-regulated upon differentiation than SSEA-3, SSEA-4, and SSEA-5.

Longitudinal changes of serum protein N-Glycan levels for earlier detection of pancreatic cancer in high-risk individuals.

BACKGROUND: Surveillance of individuals at risk of developing pancreatic ductal adenocarcinoma (PDAC) has the potential to improve survival, yet early detection based on solely imaging modalities is challenging. We aimed to identify changes in serum glycosylation levels over time to earlier detect PDAC in high-risk individuals. METHODS: Individuals with a hereditary predisposition to develop PDAC were followed in two surveillance programs. Those, of which at least two consecutive serum samples were available, were included. Mass spectrometry analysis was performed to determine the total N-glycome for each consecutive sample. Potentially discriminating N-glycans were selected based on our previous cross-sectional analysis and relative abundances were calculated for each glycosylation feature. RESULTS: 165 individuals ("FPC-cohort" N = 119; Leiden cohort N = 46) were included. In total, 97 (59%) individuals had a genetic predisposition (77 CDKN2A, 15 BRCA1/2, 5 STK11) and 68 (41%) a family history of PDAC without a known genetic predisposition (>10-fold increased risk of developing PDAC). From each individual, a median number of 3 serum samples (IQR 3) was collected. Ten individuals (6%) developed PDAC during 35 months of follow-up; nine (90%) of these patients carried a CDKN2A germline mutation. In PDAC cases, compared to all controls, glycosylation characteristics were increased (fucosylation, tri- and tetra-antennary structures, specific sialic linkage types), others decreased (complex-type diantennary and bisected glycans). The largest change over time was observed for tri-antennary fucosylated glycans, which were able to differentiate cases from controls with a specificity of 92%, sensitivity of 49% and accuracy of 90%. CONCLUSION: Serum N-glycan monitoring may support early detection in a pancreas surveillance program.

The diagnostic value of serum DSA-TRF in hepatocellular carcinoma.

TRF is a glycoprotein mainly secreted by hepatocytes, The aim of this study was to explore the diagnostic value of aberrant glycosylated serum transferrin (TRF) especially containing multi-antennary glycans in hepatocellular carcinoma (HCC).A total of 581 subjects including HCC patients, liver cirrhosis (LC) patients, chronic hepatitis (CHB) patients and healthy controls (HC) were recruited. All the subjects were randomly assigned to training group (n = 411) and validation group (n = 170). We firstly analyzed the serum protein N-glycome profiling of HCC, LC, and HC by DNA sequencer-assisted fluorophore-assisted carbohydrate electrophoresis (DSA-FACE) technology. We established a lectin-antibody sandwich ELISA (Lectin-ELISA) method to detect multi-antennary glycans-contained TRF (DSA-TRF) in serum, in which Datura stramonium Agglutinin (DSA) was used for specific recognition. Levels of serum DSA-TRF and TRF were analyzed respectively. The diagnostic efficacies of DSA-TRF and TRF of differentiating HCC patients from CHB, LC patients and HC within the training group were evaluated using receiver operating characteristic (ROC) curve and tested in the validation group.The result found that in training group, serum TRF and DSA-TRF levels differed significantly between HCC (1.86 ± 0.50, g/L, 0.285 ± 0.06), CHB + LC (2.39 ± 0.74, g/L, 0.189 ± 0.07) and HC (1.92 ± 0.69, g/L, 0.249 ± 0.09) (HCC vs. CHB + LC, P < 0.001; HCC vs. HC, P < 0.001; CHB + LC vs. HC, P < 0.001). The area under the ROC curve (AUC) of DSA-TRF was significantly superior to AFP (0.880, 95%CI: 0.834-0.925 vs. 0.776, 95%CI: 0.725-0.827, P = 0.003) in differentiating HCC from CHB + LC. The AUC of diagnostic model GlycoTRF1 (0.981, 95%CI: 0.969-0.993) was higher than DSA-TRF and AFP alone (P<0.001) in differentiating HCC from CHB + LC, which was verified in validation group.The results indicated that the serum DSA-TRF might serve as a potential glycan biomarker for distinguishing HCC from CHB and LC.

Plasma N-glycome composition associates with chronic low back pain.

BACKGROUND: Low back pain (LBP) is the symptom of a group of syndromes with heterogeneous underlying mechanisms and molecular pathologies, making treatment selection and patient prognosis very challenging. Moreover, symptoms and prognosis of LBP are influenced by age, gender, occupation, habits, and psychological factors. LBP may be characterized by an underlying inflammatory process. Previous studies indicated a connection between inflammatory response and total plasma N-glycosylation. We wanted to identify potential changes in total plasma N-glycosylation pattern connected with chronic low back pain (CLBP), which could give an insight into the pathogenic mechanisms of the disease. METHODS: Plasma samples of 1128 CLBP patients and 760 healthy controls were collected in clinical centers in Italy, Belgium and Croatia and used for N-glycosylation profiling by hydrophilic interaction ultra-performance liquid chromatography (HILIC-UPLC) after N-glycans release, fluorescent labeling and clean-up. Observed N-glycosylation profiles have been compared with a cohort of 126 patients with acute inflammation that underwent abdominal surgery. RESULTS: We have found a statistically significant increase in the relative amount of high-branched (tri-antennary and tetra-antennary) N-glycan structures on CLBP patients' plasma glycoproteins compared to healthy controls. Furthermore, relative amounts of disialylated and trisialylated glycan structures were increased, while high-mannose and glycans containing bisecting N-acetylglucosamine decreased in CLBP. CONCLUSIONS: Observed changes in CLBP on the plasma N-glycome level are consistent with N-glycosylation changes usually seen in chronic inflammation. GENERAL SIGNIFICANCE: To our knowledge, this is a first large clinical study on CLBP patients and plasma N-glycome providing a new glycomics perspective on potential disease pathology.

High-throughput analysis of immunoglobulin G glycosylation.

INTRODUCTION: Glycosylation of immunoglobulin G (IgG) is important for its effector functions and was shown to be related to age, sex and disease status of an individual. Adding glycomic information to genome-wide association studies (GWAS) and large clinical trials is enabling insight into the functional relevance of changes in glycosylation, as well as molecular mechanisms behind these changes. Large-scale studies require sensitive, robust and affordable high-throughput methodologies for glycosylation analysis, which are currently available in only a limited number of laboratories. AREAS COVERED: This review focuses on currently used high-throughput approaches for N-glycosylation analysis of IgG, as well as some recent advances in the areas of deglycosylation, trypsin digestion, labeling, purification, derivatization and automation of current workflows. Relevant literature was searched using the PubMed database. Expert commentary: Development, optimization and validation of robust, affordable and simple high-throughput glycosylation analysis methods is essential for discovery and validation of diagnostic and prognostic glycan biomarkers. Although significant advances in glycosylation analysis have been made in recent years, currently used protocols will have to be further optimized to enable subsequent analysis of glycosylation on all levels with the limited initial sample and in the minimal amount of time, which is still a challenging task.

Novel diagnostic options for endometriosis - Based on the glycome and microbiome.

Background: Endometriosis is a chronic gynaecological disease whose aetiology is still unknown. Despite its prevalence among women of reproductive age, the pathology of the disease has not yet been elucidated and only symptomatic treatment is available. Endometriosis has high latency and diagnostic methods are both limited and invasive. Aim of review: The aim of this review is to summarise minimally invasive or non-invasive diagnostic methods for endometriosis and their diagnostic efficiencies. Furthermore, we discuss the identification and diagnostic potential of novel disease biomarkers of microbial or glycan origin. Key scientific concepts of review: Great efforts have been made to develop minimally invasive or non-invasive diagnostic methods in endometriosis. The problem with most potential biomarker candidates is that they have high accuracy only in cases of severe disease. Therefore, it is necessary to examine other potential biomarkers more closely. Associations between gastrointestinal and genital tract microbial health and endometriosis have been identified. For instance, irritable bowel syndrome is more common in women with endometriosis, and hormonal imbalance has a negative impact on the microbiome of both the genital tract and the gastrointestinal system. Further interrogation of these associations may have potential diagnostic significance and may identify novel therapeutic avenues. Glycomics may also be a potent source of biomarkers of endometriosis, with a number of glyco-biomarkers already approved by the FDA. Endometriosis-associated microbial and glycomic profiles may represent viable targets for development of innovative diagnostics in this debilitating disease.

[The potential role of proteomic and glycomic biomarkers in chronic obstructive pulmonary disease diagnostics]. / Protein és glikán biomarkerek szerepe a krónikus obstruktív tüdobetegség diagnosztikájában.

Chronic obstructive pulmonary disease (COPD) is worldwide a significant representative of morbidity and mortality statistics. COPD is a preventable and treatable disease and smoking is the main risk factor of disease development. Prevention is crucial, but it has its limitations, so risk estimation and early non-invasive diagnostics are essential to decrease COPD mortality. Although diagnostic techniques are evolving, the perfect screening tool is lacking. Discovery of properly sensitive and specific biomarkers is important. They could be effective diagnostic, differential diagnostic, phenotyping and prognostic tools to clinicians. The manuscript is focusing on recently discovered potential protein and glycan biomarkers for COPD. Orv Hetil. 2020; 161(4): 123-128.

Presentation Patterns, Diagnostic Markers, Management Strategies, and Outcomes of IgD Multiple Myeloma: A Systematic Review of Literature.

Immunoglobulin (Ig) D multiple myeloma (MM) is a rare subtype of MM comprising 2% of all the cases. Malignant plasma cell invasion leads to signs and symptoms similar to other subtypes of MM. The synthesis rate of IgD is lower in IgD MM patients, making it very difficult to diagnose compared to other subtypes. As there is no available diagnostic test with 100% accuracy, the diagnosis of IgD MM is based on multiple factors. Recent advances in the treatment have resulted in a better overall survival for IgD MM patients. The aim of this systematic review was to summarize the data on presentation patterns, diagnosis modalities, management strategies, and outcomes in patients with IgD MM.

Measurement of Neutral and Sialylated IgG N-Glycome at Asn-297 by CE-LIF to Assess Hypogalactosylation in Rheumatoid Arthritis.

Modulations in immunoglobulin G (IgG) N-glycosylation have been observed in many human diseases including chronic inflammatory diseases such as rheumatoid arthritis and also cancer. In this chapter, we describe how to determine hypogalactosylation for clinical samples, namely the sample preparation of IgG N-glycans at Asn-297 as well as the measurement of neutral and sialylated N-glycans by capillary electrophoresis coupled with laser-induced fluorescence (CE-LIF).This semiautomated protocol describes the isolation polyclonal antibodies from serum, the separation of IgG-Fc glycopeptides from IgG antigen-binding fragment by pepsin digestion. Afterward, enzymatically released IgG-Fc N-glycans are cleaned up using a polyaromatic adsorbent resin followed by carbon purification. Sialic acids are then derivatized prior to glycan labeling. As a result, the agalactosylated N-glycan A2 does not co-migrate with sialylated N-glycans, which refines the measurement of hypogalactosylation by CE-LIF.