Differentiation of human serum samples by surface plasmon resonance monitoring of the integral glycoprotein interaction with a lectin panel

• Published in: Analytica chimica acta Vol. 459; no. 1; pp. 25 - 31
• Main Authors: Mecklenburg, Michael, Svitel, Juraj, Winquist, Fredrik, Gang, Jin, Ornstein, Katharina, Dey, Estera, Bin, Xie, Hedborg, Eva, Norrby, Ragnar, Arwin, Hans, Lundström, Ingemar, Danielsson, Bengt
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2002
• Subjects: Analytical Chemistry; Analytisk kemi; Bacterial infection; Chemical Sciences; Glycoprotein; Human serum; Kemi; Lectin panel; Natural Sciences; Naturvetenskap; Principal component analysis; Surface plasmon resonance; TECHNOLOGY; TEKNIKVETENSKAP; Bacterial infection; Human serum; Surface plasmon resonance; Glycoprotein; Lectin panel; Principal component analysis
• ISSN: 0003-2670; 1873-4324; 1873-4324
• DOI: 10.1016/S0003-2670(02)00101-0

Bacterial infection and inflammation result in massive changes in serum glycoproteins. These changes were investigated by the interaction of the saccharide glycoprotein moiety with lectins. A panel of eight lectins (C anavalia ensiformis, Bandeiraea simplicifolia BS-I, Arachis hypogaea, Phytolacca americana, Phaseolus vulgaris, Artocarpus integrifolia, Triticum vulgaris and Pisum sativum) was used to differentiate human serum glycoproteins obtained from patients with various bacterial infections. Lectin functionalised sensing layers were created on gold-coated wafers and lectin–glycoprotein interactions were monitored by surface plasmon resonance. The interaction of the lectin panel with serum glycoproteins produces unique patterns. Principal component analysis (PCA) was used to analyse the patterns. The actual panel of eight lectins enabled discrimination between sera obtained from patients sick with bacterial infection and healthy patients. Extended lectin panels have the potential to distinguish between types of bacterial infection and identify specific disease state.