Changes to serum sample tube and processing methodology does not cause inter-individual variation in automated whole serum N-glycan profiling in health and disease

Serum N-glycans have been identified as putative biomarkers for numerous diseases. The impact of different serum sample tubes and processing methods on N-glycan analysis has received relatively little attention. This study aimed to determine the effect of different sample tubes and processing methods on the whole serum N-glycan profile in both health and disease. A secondary objective was to describe a robot automated N-glycan release, labeling and cleanup process for use in a biomarker discovery system.25 patients with active and quiescent inflammatory bowel disease and controls had three different serum sample tubes taken at the same draw. Two different processing methods were used for three types of tube (with and without gel-separation medium). Samples were randomised and processed in a blinded fashion. Whole serum N-glycan release, 2-aminobenzamide labeling and cleanup was automated using a Hamilton Microlab STARlet Liquid Handling robot. Samples were analysed using a hydrophilic interaction liquid chromatography/ethylene bridged hybrid(BEH) column on an ultra-high performance liquid chromatography instrument. Data were analysed quantitatively by pairwise correlation and hierarchical clustering using the area under each chromatogram peak. Qualitatively, a blinded assessor attempted to match chromatograms to each individual.There was small intra-individual variation in serum N-glycan profiles from samples collected using different sample processing methods. Intra-individual correlation coefficients were between 0.99 and 1. Unsupervised hierarchical clustering and principal coordinate analyses accurately matched samples from the same individual. Qualitative analysis demonstrated good chromatogram overlay and a blinded assessor was able to accurately match individuals based on chromatogram profile, regardless of disease status.The three different serum sample tubes processed using the described methods cause minimal inter-individual variation in serum whole N-glycan profile when processed using an automated workstream. This has important implications for N-glycan biomarker discovery studies using different serum processing standard operating procedures

Identification of various types of α2-HS glycoprotein in sera of patients with pancreatic cancer: Possible implication in resistance to protease treatment

α2-Heremans-Schmid glycoprotein (human fetuin) is one of numerous serum proteins produced in the liver. Recently, the biological functions of fetuin, such as calcification and insulin resistance, have been clarified. However, these effects appear to be indirect, occurring through binding to other molecules. When equal amounts of fetuin in sera were treated with chymotrypsin, resistance to the protease treatment was observed in patients with pancreatic cancer, but not in normal volunteers. To investigate the molecular mechanism behind this resistance, gel-filtration chromatography was performed. The results revealed that high molecular types of fetuin showed a resistance to protease treatment. When fetuin was purified from sera of patients with pancreatic cancer and normal volunteers, certain types of proteins, including haptoglobin (which binds to fetuin derived from pancreatic cancer patients), were identified using mass spectrometry. Furthermore, the oligosaccharide structures of fetuin analyzed with lectin microarray differed between pancreatic cancer patients and normal volunteers. This macro/micro heterogeneity of fetuin might contribute to pancreatic cancer resistance to chymotrypsin treatment.open