Use of real-time, label-free analysis in revealing low-affinity binding to blood group antigens by Helicobacter pylori

Infectious diseases are often initiated by microbial adherence that is mediated by the binding of attachment molecules, termed adhesins, to cell surface receptors on host cells. We present an experimental system, oblique-incidence reflectivity difference (OI-RD) microscopy, which allows the detection of novel, low-affinity microbial attachment mechanisms that may be essential for infectious processes. OI-RD microscopy was used to analyze direct binding of the oncopathogen, Helicobacter pylori ( H. pylori ) to immobilized glycoconjugates in real time with no need for labeling tags. The results suggest the presence of additional Lewis b blood group antigen (Le(b)) binding adhesins that have not been detected previously. OI-RD microscopy also confirmed the high-affinity binding of H. pylori outer-membrane protein BabA to Le(b). The OI-RD microscopy method is broadly applicable to real-time characterization of intact microbial binding to host receptors and offers new strategies to elucidate the molecular interactions of infectious agents with human host cells.

Glycomics analysis of serum: a potential new biomarker for ovarian cancer?

We recently reported the use of matrix-assisted laser desorption ionization (MALDI) Fourier transformation mass spectrometry (FTMS) techniques to identify unique glycan markers in ovarian cancer cell lines which may be biomarkers for diagnosis of ovarian cancer. Glycan markers and CA125 levels are compared in a series of ovarian cancer patients and normal control subjects. Oligosaccharides (OS) were cleaved from the serum glycoproteins and isolated using solid phase extraction. MALDI-FTMS was then used to identify unique mass spectrometry (MS) peaks. Sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve were calculated to measure the test performance of glycan markers. Sixteen unique OS MS signals were identified in ovarian cancer patient sera. Their additive mass/charge intensities were used to determine their presence or absence. The ovarian cancer patients varied in their disease status, with initial cancer stages ranging from IC to IV. Forty-four of 48 patients had detectable OS signals, with CA125 values between 2 and 17,044. Four patients had undetectable signals and their CA125 ranged between 7 and 10. Twenty-three of 24 control subjects had no detectable glycan markers, with CA125 levels between 10 and 64. Sensitivity and specificity values were determined to be 91.6% and 95.8%, respectively. The area under the ROC curve for all 72 samples was 0.954 (95% CI: 0.896, 1.0) using the glycomics assay, which was superior to CA125 in discriminating between cases and controls. This preliminary study suggests that glycomics profiling may be useful for the detection of ovarian cancer.

Serum glycan analysis in metastatic breast cancer

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Background: There is a need for a reliable breast cancer biomarker that can predict a patient’s response to therapy. Serum glycans, or oligosaccharides, are of particular interest as over half of all proteins are glycosylated and alterations in glycosylation influence growth, adhesion, metastasis and immune surveillance of tumor, among other important functions. Serum glycans can be analyzed by high resolution mass spectrometry. Methods: Sera from patients with known metastatic breast cancer and age-matched healthy controls without medical problems were prospectively analyzed by mass spectroscopy. Women over the age of 18, who were not pregnant or breastfeeding, and who were without other active cancers were eligible. Samples were de-identified for laboratory personnel who analyzed sera by matrix-assisted laser desoprtion/ionization (MALDI) and Fourier transform ion-cyclotron resonance mass sepctrometry (FT ICR MS). Glycans were also profiled by chromatographic separation using a microchip nanoLC (Agilent) with a time-of-flight (TOF) mass analyzers. Results: Sera from 25 patients with metastatic breast cancer and 25 controls were evaluated. The mass profiles were obtained corresponding to both N-linked oligosaccharides (N-glycans) and O-linked oligosaccharides (O-glycans). Distinct variations in glycosylation were observed among sera analyzed from patients with metastatic breast cancer compared to controls. Specific glycan masses were analyzed and found to correspond to N-glycans. The chromatographic glycan profile showed individual glycans that were distinct for the cancer patients. Conclusions: Analysis of serum gylcans by mass spectrometry represents a new paradigm of cancer biomarker studies, focusing on post-translational modifications of proteins, rather than protein expression. Further refinement of this technology may be clinically useful in monitoring response to therapy in metastatic breast cancer.

No significant financial relationships to disclose.