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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 ; Xie, Bin LU ; 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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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Bacterial infection, Glycoprotein, Human serum, Lectin panel, Principal component analysis, Surface plasmon resonance
in
Analytica Chimica Acta
volume
459
issue
1
pages
7 pages
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
2016-04-01 16:29:00
date last changed
2022-02-12 22:29:41
@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 Xie, Bin and Hedborg, E and Norrby, R and Arwin, H and Lundstrom, I and Danielsson, Bengt}},
  issn         = {{1873-4324}},
  keywords     = {{Bacterial infection; Glycoprotein; Human serum; Lectin panel; Principal component analysis; Surface plasmon resonance}},
  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}},
  doi          = {{10.1016/S0003-2670(02)00101-0}},
  volume       = {{459}},
  year         = {{2002}},
}