Pantić, Visnja

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21e66505-fce4-4081-9508-fdd4c7cc23da
  • Pantić, Visnja (1)
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Profiling of microorganism-binding serum antibody specificities in professional athletes

Minić, Rajna; Papić, Zlatko; Đorđević, Brižita; Michalickova, Danica; Ilić, Vesna; Mathiesen, Geir; Živković, Irena; Pantić, Visnja; Dimitrijević, Ljiljana

(Public Library Science, San Francisco, 2018)

TY  - JOUR
AU  - Minić, Rajna
AU  - Papić, Zlatko
AU  - Đorđević, Brižita
AU  - Michalickova, Danica
AU  - Ilić, Vesna
AU  - Mathiesen, Geir
AU  - Živković, Irena
AU  - Pantić, Visnja
AU  - Dimitrijević, Ljiljana
PY  - 2018
UR  - http://intor.torlakinstitut.com/handle/123456789/508
AB  - The goal of this work was to elucidate similarities between microorganisms from the perspective of the humoral immune system reactivity in professional athletes. The reactivity of serum IgG of 14 young, individuals was analyzed to 23 selected microorganisms as antigens by use of the in house ELISA. Serum IgM and IgA reactivity was also analyzed and a control group of sex and age matched individuals was used for comparison. The obtained absorbance levels were used as a string of values to correlate the reactivity to different microorganisms. IgM was found to be the most cross reactive antibody class, Pearson's r = 0.7 +/- 0.92, for very distant bacterial species such as Lactobacillus and E. coli. High correlation in IgG levels was found for Gammaproteobacteria and LPS (from E. coli) (r = 0.77 for LPS vs. P. aeruginosa to r = 0.98 for LPS vs. E. coli), whereas this correlation was lower in the control group (r = 0.49 for LPS vs. P. aeruginosa to r = 0.66 for LPS vs. E. coli). The correlation was also analyzed between total IgG and IgG subclasses specific for the same microorganism, and IgG2 was identified as the main subclass recognising different microorganisms, as well as recognising LPS. Upon correlation of IgG with IgA for the same microorganism absence of or negative correlation was found between bacteria-specific IgA and IgG in case of Lactobacillus and Staphylococcusgeni, whereas correlation was absent or positive for Candida albicans, Enterococcusfaecalis, Streptococcus species tested in professional athletes. Opposite results were obtained for the control group. Outlined here is a simple experimental procedure and data analysis which yields functional significance and which can be used for determining the similarities between microorganisms from the aspect of the humoral immune system, for determining the main IgG subclass involved in an immune response as well as for the analysis of different target populations.
PB  - Public Library Science, San Francisco
T2  - PLoS One
T1  - Profiling of microorganism-binding serum antibody specificities in professional athletes
IS  - 9
VL  - 13
DO  - 10.1371/journal.pone.0203665
UR  - conv_441
ER  - 
@article{
author = "Minić, Rajna and Papić, Zlatko and Đorđević, Brižita and Michalickova, Danica and Ilić, Vesna and Mathiesen, Geir and Živković, Irena and Pantić, Visnja and Dimitrijević, Ljiljana",
year = "2018",
abstract = "The goal of this work was to elucidate similarities between microorganisms from the perspective of the humoral immune system reactivity in professional athletes. The reactivity of serum IgG of 14 young, individuals was analyzed to 23 selected microorganisms as antigens by use of the in house ELISA. Serum IgM and IgA reactivity was also analyzed and a control group of sex and age matched individuals was used for comparison. The obtained absorbance levels were used as a string of values to correlate the reactivity to different microorganisms. IgM was found to be the most cross reactive antibody class, Pearson's r = 0.7 +/- 0.92, for very distant bacterial species such as Lactobacillus and E. coli. High correlation in IgG levels was found for Gammaproteobacteria and LPS (from E. coli) (r = 0.77 for LPS vs. P. aeruginosa to r = 0.98 for LPS vs. E. coli), whereas this correlation was lower in the control group (r = 0.49 for LPS vs. P. aeruginosa to r = 0.66 for LPS vs. E. coli). The correlation was also analyzed between total IgG and IgG subclasses specific for the same microorganism, and IgG2 was identified as the main subclass recognising different microorganisms, as well as recognising LPS. Upon correlation of IgG with IgA for the same microorganism absence of or negative correlation was found between bacteria-specific IgA and IgG in case of Lactobacillus and Staphylococcusgeni, whereas correlation was absent or positive for Candida albicans, Enterococcusfaecalis, Streptococcus species tested in professional athletes. Opposite results were obtained for the control group. Outlined here is a simple experimental procedure and data analysis which yields functional significance and which can be used for determining the similarities between microorganisms from the aspect of the humoral immune system, for determining the main IgG subclass involved in an immune response as well as for the analysis of different target populations.",
publisher = "Public Library Science, San Francisco",
journal = "PLoS One",
title = "Profiling of microorganism-binding serum antibody specificities in professional athletes",
number = "9",
volume = "13",
doi = "10.1371/journal.pone.0203665",
url = "conv_441"
}
Minić, R., Papić, Z., Đorđević, B., Michalickova, D., Ilić, V., Mathiesen, G., Živković, I., Pantić, V.,& Dimitrijević, L.. (2018). Profiling of microorganism-binding serum antibody specificities in professional athletes. in PLoS One
Public Library Science, San Francisco., 13(9).
https://doi.org/10.1371/journal.pone.0203665
conv_441
Minić R, Papić Z, Đorđević B, Michalickova D, Ilić V, Mathiesen G, Živković I, Pantić V, Dimitrijević L. Profiling of microorganism-binding serum antibody specificities in professional athletes. in PLoS One. 2018;13(9).
doi:10.1371/journal.pone.0203665
conv_441 .
Minić, Rajna, Papić, Zlatko, Đorđević, Brižita, Michalickova, Danica, Ilić, Vesna, Mathiesen, Geir, Živković, Irena, Pantić, Visnja, Dimitrijević, Ljiljana, "Profiling of microorganism-binding serum antibody specificities in professional athletes" in PLoS One, 13, no. 9 (2018),
https://doi.org/10.1371/journal.pone.0203665 .,
conv_441 .
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