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

Mecklenburg, M; Svitel, Juraj LU ; Winquist, F; Gang, J; Ornstein, Katharina LU ; Dey, Estera LU ; Bin, X; Hedborg, E; Norrby, R and Arwin, H, et al. (2002) In Analytica Chimica Acta 459(1). p.25-31
Abstract
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 (Canavalia 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.... (More)
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 (Canavalia 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. (Less)
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publication status
published
subject
keywords
plasmon resonance, surface, lectin panel, glycoprotein, human serum, bacterial infection, principal component analysis
in
Analytica Chimica Acta
volume
459
issue
1
pages
25 - 31
publisher
Elsevier
external identifiers
  • wos:000176102700004
  • scopus:0037123732
ISSN
1873-4324
DOI
10.1016/S0003-2670(02)00101-0
language
English
LU publication?
yes
id
8d944d85-baca-40b9-8000-040ef160d556 (old id 336141)
date added to LUP
2007-11-16 09:32:51
date last changed
2017-01-01 07:06:32
@article{8d944d85-baca-40b9-8000-040ef160d556,
  abstract     = {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 (Canavalia 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.},
  author       = {Mecklenburg, M and Svitel, Juraj and Winquist, F and Gang, J and Ornstein, Katharina and Dey, Estera and Bin, X and Hedborg, E and Norrby, R and Arwin, H and Lundstrom, I and Danielsson, Bengt},
  issn         = {1873-4324},
  keyword      = {plasmon resonance,surface,lectin panel,glycoprotein,human serum,bacterial infection,principal component analysis},
  language     = {eng},
  number       = {1},
  pages        = {25--31},
  publisher    = {Elsevier},
  series       = {Analytica Chimica Acta},
  title        = {Differentiation of human serum samples by surface plasmon resonance monitoring of the integral glycoprotein interaction with a lectin panel},
  url          = {http://dx.doi.org/10.1016/S0003-2670(02)00101-0},
  volume       = {459},
  year         = {2002},
}