Faculty Bibliography

Amyotrophic lateral sclerosis is a progressive and fatal degenerative neuromuscular disease with few if any treatment options and physical rehabilitation addressing specific deficits is the most frequent form of therapy. Patients also suffer from depression and increased anxiety. Our purpose was to assess the neurorehabilitation effectiveness in a patient with amyotrophic lateral sclerosis who underwent stem cell transplantation but refused physiotherapy due to depression. Disease progression was followed using the revised Amyotrophic Lateral Sclerosis Functional Rating Scale bimonthly for six months pre- and then post-stem cell transplantation. Psychological traits were assessed using six standardized tests. Quantitative electroencephalogram diagnostics was performed before the first and after the last neurofeedback session, and sessions were conducted on a 3-times-a-week basis. The physiotherapy protocol included proprioceptive neuromuscular facilitation, electrical modalities unit applied to the lumbar spine area, and breathing, relaxation and walking exercises, among others. Increased motivation and marked decrease in the pain level was associated with the patient's willingness to complete physiotherapy, which resulted in improvements in most neuromuscular deficits and in increased respiratory capacity. During the 12 post-rehabilitation months, progression of the disease decelerated, and a positive behavioral change was noted. The study suggested that neurofeedback could be used as a neurorehabilitation component of the personalized complex rehabilitation protocol in patients with amyotrophic lateral sclerosis.

Natural antibodies, part of the innate immunity system, are produced at strictly regulated levels in normal sera without immunization and thus are part of the innate immune system. The best studied natural antibodies are those directed against blood group antigens A and B and xeno-antigens including glycolylneuraminic acid containing Hanganutziu-Deicher (HD) glycolipid. Abnormal levels of anti-glycan antibodies were found in a number of pathologies. In many cases pathological antibodies are known to bind gangliosides. The genesis of anti-glycan antibodies in healthy humans and the reasons for their changes in pathologies are poorly understood. With a growing interest in their diagnostic applications, it is important to determine the carbohydrate structures that are recognized by antibodies present in the circulation of healthy individuals. We tested a large number of healthy donors using a printed glycan array (PGA) in a microchip format. The PGA contained ~300 glycans, representing mostly normal mammalian structures of glycoproteins and glycolipids, and many of the structures presented are biologically relevant sialylated motifs. As revealed by PGA, the sera interacted with at least 70 normal human glycans. With only few exceptions, antibodies recognizing sialosides have not been identified. Moderate levels of antibodies and moderate variability were observed in the case of SiaT n and its glycolyl variant. Unexpectedly, we found minimal antibody titer directed against Neu5Gcalpha and the trisaccharide Neu5Gcalpha2-6Galbeta1-4GlcNAc, although this form of neuraminic acid does not occur naturally in humans. Antibodies recognizing sialosides in unnatural beta-configuration have been detected and confirmed Springer's paradigm that circulating antibodies represent a reaction against bacteria. Gram-negative bacteria contain LPS with betaKDN and/or betaKDO which are very close analogs of Neu5Ac that are found in beta-connected form. Antibodies against the biantennary N-glycan chain, (Neu5Acalpha2-6Galbeta1-4GlcNAcbeta1-2Manalpha)2-3,6-Manbeta1-4GlcNAcbeta1-4GlcNA c were never observed and similarly we never saw antibodies directed against the SiaLea/SiaLe x motifs. Anti-sialoglycan antibodies can be masked with gangliosides: for example, we observe about a five times higher level of anti-GD3 in purified total IgG compared to the same concentration of total Ig in the composition of native serum. For several antibodies we observed anomalous binding in diluted sera, namely, the signals towards sialylated glycans were increased in the PGA if diluted sera were used.

BACKGROUND: The level of plasma-derived naturally circulating anti-glycan antibodies (AGA) to P1 trisaccharide has previously been shown to significantly discriminate between ovarian cancer patients and healthy women. Here we aim to identify the Ig class that causes this discrimination, to identify on cancer cells the corresponding P1 antigen recognised by circulating anti-P1 antibodies and to shed light into the possible function of this glycosphingolipid. METHODS: An independent Australian cohort was assessed for the presence of anti-P1 IgG and IgM class antibodies using suspension array. Monoclonal and human derived anti-glycan antibodies were verified using three independent glycan-based immunoassays and flow cytometry-based inhibition assay. The P1 antigen was detected by LC-MS/MS and flow cytometry. FACS-sorted cell lines were studied on the cellular migration by colorimetric assay and real-time measurement using xCELLigence system. RESULTS: Here we show in a second independent cohort (n=155) that the discrimination of cancer patients is mediated by the IgM class of anti-P1 antibodies (P=0.0002). The presence of corresponding antigen P1 and structurally related epitopes in fresh tissue specimens and cultured cancer cells is demonstrated. We further link the antibody and antigen (P1) by showing that human naturally circulating and affinity-purified anti-P1 IgM isolated from patients ascites can bind to naturally expressed P1 on the cell surface of ovarian cancer cells. Cell-sorted IGROV1 was used to obtain two study subpopulations (P1-high, 66.1%; and P1-low, 33.3%) and observed that cells expressing high P1-levels migrate significantly faster than those with low P1-levels. CONCLUSIONS: This is the first report showing that P1 antigen, known to be expressed on erythrocytes only, is also present on ovarian cancer cells. This suggests that P1 is a novel tumour-associated carbohydrate antigen recognised by the immune system in patients and may have a role in cell migration. The clinical value of our data may be both diagnostic and prognostic; patients with low anti-P1 IgM antibodies present with a more aggressive phenotype and earlier relapse.

Exfoliation syndrome (XFS) is considered to be a disease of extracellular matrix. Here we review key experimental evidence of aberrations in structure, expression, and function of glycoproteins, complex carbohydrates, and glycosaminoglycans found in extracellular matrix components forming exfoliation material in patients presenting with XFS. We hypothesize that certain components of the accumulating exfoliation material can become immunogenic, and multiple natural antibodies or autoantibodies are generated. Anti-glycan antibodies (AGAs) can be captured on Printed Glycan Array. Our preliminary results show robust immunoprofiles of AGAs in sera of patients with XFS, and the significant presence of AGAs in aqueous humor of these patients. These findings offer insight into the dynamics of AGAs during the development of XFS that could lead to the identification of the AGA-based XFS immuno-signature.

Carbohydrates participate in almost every aspect of biology from protein sorting to modulating cell differentiation and cell-cell interactions. To date, the majority of data gathered on glycan expression has been obtained via analysis with either anti-glycan antibodies or lectins. A detailed understanding of the specificities of these reagents is critical to the analysis of carbohydrates in biological systems. Glycan microarrays are increasingly used to determine the binding specificity of glycan-binding proteins (GBPs). In this study, six different glycan microarray platforms with different modes of glycan presentation were compared using five well-known lectins; concanavalin A, Helix pomatia agglutinin, Maackia amurensis lectin I, Sambucus nigra agglutinin and wheat germ agglutinin. A new method (universal threshold) was developed to facilitate systematic comparisons across distinct array platforms. The strongest binders of each lectin were identified using the universal threshold across all platforms while identification of weaker binders was influenced by platform-specific factors including presentation of determinants, array composition and self-reported thresholding methods. This work compiles a rich dataset for comparative analysis of glycan array platforms and has important implications for the implementation of microarrays in the characterization of GBPs.

Nickel (Ni) compounds are widely used in industrial and commercial products including household and cooking utensils, jewelry, dental appliances and implants. Occupational exposure to nickel is associated with an increased risk for lung and nasal cancers, is the most common cause of contact dermatitis and has an extensive effect on the immune system. The purpose of this study was two-fold: (i) to evaluate immune response to the occupational exposure to nickel measured by the presence of anti-glycan antibodies (AGA) using a new biomarker-discovery platform based on printed glycan arrays (PGA), and (ii) to evaluate and compile a sequence of bioinformatics and statistical methods which are specifically relevant to PGA-derived information and to identification of putative "Ni toxicity signature". The PGAs are similar to DNA microarrays, but contain deposits of various carbohydrates (glycans) instead of spotted DNAs. The study uses data derived from a set of 89 plasma specimens and their corresponding demographic information. The study population includes three subgroups: subjects directly exposed to Nickel that work in a refinery, subjects environmentally exposed to Nickel that live in a city where the refinery is located and subjects that live in a remote location. The paper describes the following sequence of nine data processing and analysis steps: (1) Analysis of inter-array reproducibility based on benchmark sera; (2) Analysis of intra-array reproducibility; (3) Screening of data - rejecting glycans which result in low intra-class correlation coefficient (ICC), high coefficient of variation and low fluorescent intensity; (4) Analysis of inter-slide bias and choice of data normalization technique; (5) Determination of discriminatory subsamples based on multiple bootstrap tests; (6) Determination of the optimal signature size (cardinality of selected feature set) based on multiple cross-validation tests; (7) Identification of the top discriminatory glycans and their individual performance based on nonparametric univariate feature selection; (8) Determination of multivariate performance of combined glycans; (9) Establishing the statistical significance of multivariate performance of combined glycan signature. The above analysis steps have delivered the following results: inter-array reproducibility rho=0.920 +/- 0.030; intra-array reproducibility rho=0.929 +/- 0.025; 249 out of 380 glycans passed the screening at ICC>80%, glycans in selected signature have ICC >/= 88.7%; optimal signature size (after quantile normalization)=3; individual significance for the signature glycans p=0.00015 to 0.00164, individual AUC values 0.870 to 0.815; observed combined performance for three glycans AUC=0.966, p=0.005, CI=[0.757, 0947]; specifity=94.4%, sensitivity=88.9%; predictive (cross-validated) AUC value 0.836.