Pantic, Igor

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  • Pantic, Igor (3)
  • Pantić, Igor (1)
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Author's Bibliography

Repetitive Hyperbaric Oxygenation Attenuates Reactive Astrogliosis and Suppresses Expression of Inflammatory Mediators in the Rat Model of Brain Injury

Lavrnja, Irena; Parabucki, Ana; Brkić, Predrag; Jovanović, Tomislav; Dacic, Sanja; Savić, Danijela; Pantić, Igor; Stojiljković, Mirjana; Peković, Sanja

(2015)

TY  - JOUR
AU  - Lavrnja, Irena
AU  - Parabucki, Ana
AU  - Brkić, Predrag
AU  - Jovanović, Tomislav
AU  - Dacic, Sanja
AU  - Savić, Danijela
AU  - Pantić, Igor
AU  - Stojiljković, Mirjana
AU  - Peković, Sanja
PY  - 2015
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/2070
AB  - The exact mechanisms by which treatment with hyperbaric oxygen (HBOT)
   exerts its beneficial effects on recovery after brain injury are still
   unrevealed. Therefore, in this study we investigated the influence of
   repetitive HBOT on the reactive astrogliosis and expression of mediators
   of inflammation after cortical stab injury (CSI). CSI was performed on
   male Wistar rats, divided into control, sham, and lesioned groups with
   appropriate HBO. The HBOT protocol was as follows: 10 minutes of slow
   compression, 2.5 atmospheres absolute (ATA) for 60 minutes, and 10
   minutes of slow decompression, once a day for 10 consecutive days. Data
   obtained using real-time polymerase chain reaction, Western blot, and
   immunohistochemical and immunofluorescence analyses revealed that
   repetitive HBOT applied after the CSI attenuates reactive astrogliosis
   and glial scarring, and reduces expression of GFAP (glial fibrillary
   acidic protein), vimentin, and ICAM-1 (intercellular adhesion
   molecule-1) both at gene and tissue levels. In addition, HBOT prevents
   expression of CD40 and its ligand CD40L on microglia, neutrophils,
   cortical neurons, and reactive astrocytes. Accordingly, repetitive HBOT,
   by prevention of glial scarring and limiting of expression of
   inflammatory mediators, supports formation of more permissive
   environment for repair and regeneration.
T2  - Mediators of Inflammation
T1  - Repetitive Hyperbaric Oxygenation Attenuates Reactive Astrogliosis and
 Suppresses Expression of Inflammatory Mediators in the Rat Model of
 Brain Injury
IS  - 498405
DO  - 10.1155/2015/498405
ER  - 
@article{
author = "Lavrnja, Irena and Parabucki, Ana and Brkić, Predrag and Jovanović, Tomislav and Dacic, Sanja and Savić, Danijela and Pantić, Igor and Stojiljković, Mirjana and Peković, Sanja",
year = "2015",
abstract = "The exact mechanisms by which treatment with hyperbaric oxygen (HBOT)
   exerts its beneficial effects on recovery after brain injury are still
   unrevealed. Therefore, in this study we investigated the influence of
   repetitive HBOT on the reactive astrogliosis and expression of mediators
   of inflammation after cortical stab injury (CSI). CSI was performed on
   male Wistar rats, divided into control, sham, and lesioned groups with
   appropriate HBO. The HBOT protocol was as follows: 10 minutes of slow
   compression, 2.5 atmospheres absolute (ATA) for 60 minutes, and 10
   minutes of slow decompression, once a day for 10 consecutive days. Data
   obtained using real-time polymerase chain reaction, Western blot, and
   immunohistochemical and immunofluorescence analyses revealed that
   repetitive HBOT applied after the CSI attenuates reactive astrogliosis
   and glial scarring, and reduces expression of GFAP (glial fibrillary
   acidic protein), vimentin, and ICAM-1 (intercellular adhesion
   molecule-1) both at gene and tissue levels. In addition, HBOT prevents
   expression of CD40 and its ligand CD40L on microglia, neutrophils,
   cortical neurons, and reactive astrocytes. Accordingly, repetitive HBOT,
   by prevention of glial scarring and limiting of expression of
   inflammatory mediators, supports formation of more permissive
   environment for repair and regeneration.",
journal = "Mediators of Inflammation",
title = "Repetitive Hyperbaric Oxygenation Attenuates Reactive Astrogliosis and
 Suppresses Expression of Inflammatory Mediators in the Rat Model of
 Brain Injury",
number = "498405",
doi = "10.1155/2015/498405"
}
Lavrnja, I., Parabucki, A., Brkić, P., Jovanović, T., Dacic, S., Savić, D., Pantić, I., Stojiljković, M.,& Peković, S.. (2015). Repetitive Hyperbaric Oxygenation Attenuates Reactive Astrogliosis and
 Suppresses Expression of Inflammatory Mediators in the Rat Model of
 Brain Injury. in Mediators of Inflammation(498405).
https://doi.org/10.1155/2015/498405
Lavrnja I, Parabucki A, Brkić P, Jovanović T, Dacic S, Savić D, Pantić I, Stojiljković M, Peković S. Repetitive Hyperbaric Oxygenation Attenuates Reactive Astrogliosis and
 Suppresses Expression of Inflammatory Mediators in the Rat Model of
 Brain Injury. in Mediators of Inflammation. 2015;(498405).
doi:10.1155/2015/498405 .
Lavrnja, Irena, Parabucki, Ana, Brkić, Predrag, Jovanović, Tomislav, Dacic, Sanja, Savić, Danijela, Pantić, Igor, Stojiljković, Mirjana, Peković, Sanja, "Repetitive Hyperbaric Oxygenation Attenuates Reactive Astrogliosis and
 Suppresses Expression of Inflammatory Mediators in the Rat Model of
 Brain Injury" in Mediators of Inflammation, no. 498405 (2015),
https://doi.org/10.1155/2015/498405 . .
29
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Discriminatory ability of fractal and grey level co-occurrence matrix methods in structural analysis of hippocampus layers

Pantic, Igor; Dacic, Sanja; Brkic, Predrag; Lavrnja, Irena; Jovanovic, Tomislav; Pantic, Senka; Peković, Sanja

(2015)

TY  - JOUR
AU  - Pantic, Igor
AU  - Dacic, Sanja
AU  - Brkic, Predrag
AU  - Lavrnja, Irena
AU  - Jovanovic, Tomislav
AU  - Pantic, Senka
AU  - Peković, Sanja
PY  - 2015
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/1972
AB  - Fractal and grey level co-occurrence matrix (GLCM) analysis represent
   two mathematical computer-assisted algorithms that are today thought to
   be able to accurately detect and quantify changes in tissue architecture
   during various physiological and pathological processes. However,
   despite their numerous applications in histology and pathology, their
   sensitivity, specificity and validity regarding evaluation of brain
   tissue remain unclear. In this article we present the results indicating
   that certain parameters of fractal and GLCM analysis have high
   discriminatory ability in distinguishing two morphologically similar
   regions of rat hippocampus: stratum lacunosum-moleculare and stratum
   radiatum. Fractal and GLCM algorithms were performed on a total of 240
   thionine-stained hippocampus micrographs of 12 male Wistar albino rats.
   120 digital micrographs represented stratum lacunosum-moleculare, and
   another 120 stratum radiatum. For each image, 7 parameters were
   calculated: fractal dimension, lacunarity, GLCM angular second moment,
   GLCM contrast, inverse difference moment, GLCM correlation, and GLCM
   variance. GLCM variance (VAR) resulted in the largest area under the
   Receiver operating characteristic (ROC) curve of 0.96, demonstrating an
   outstanding discriminatory power in analysis of stratum
   lacunosum-moleculare (average VAR equaled 478.1 +/- 179.8) and stratum
   radiatum (average VAR of 145.9 +/- 59.2, p <0.0001). For the criterion
   VAR <= 227.5, sensitivity and specificity were 90\% and 86.7\%,
   respectively. GLCM correlation as a parameter also produced large area
   under the ROC curve of 0.95. Our results are in accordance with the
   findings of our previous study regarding brain white mass fractal and
   textural analysis. GLCM algorithm as an image analysis method has
   potentially high applicability in structural analysis of brain tissue
   cytoarcitecture. (C) 2015 Elsevier Ltd. All rights reserved.
T2  - Journal of Theoretical Biology
T1  - Discriminatory ability of fractal and grey level co-occurrence matrix
 methods in structural analysis of hippocampus layers
VL  - 370
DO  - 10.1016/j.jtbi.2015.01.035
SP  - 151
EP  - 156
ER  - 
@article{
author = "Pantic, Igor and Dacic, Sanja and Brkic, Predrag and Lavrnja, Irena and Jovanovic, Tomislav and Pantic, Senka and Peković, Sanja",
year = "2015",
abstract = "Fractal and grey level co-occurrence matrix (GLCM) analysis represent
   two mathematical computer-assisted algorithms that are today thought to
   be able to accurately detect and quantify changes in tissue architecture
   during various physiological and pathological processes. However,
   despite their numerous applications in histology and pathology, their
   sensitivity, specificity and validity regarding evaluation of brain
   tissue remain unclear. In this article we present the results indicating
   that certain parameters of fractal and GLCM analysis have high
   discriminatory ability in distinguishing two morphologically similar
   regions of rat hippocampus: stratum lacunosum-moleculare and stratum
   radiatum. Fractal and GLCM algorithms were performed on a total of 240
   thionine-stained hippocampus micrographs of 12 male Wistar albino rats.
   120 digital micrographs represented stratum lacunosum-moleculare, and
   another 120 stratum radiatum. For each image, 7 parameters were
   calculated: fractal dimension, lacunarity, GLCM angular second moment,
   GLCM contrast, inverse difference moment, GLCM correlation, and GLCM
   variance. GLCM variance (VAR) resulted in the largest area under the
   Receiver operating characteristic (ROC) curve of 0.96, demonstrating an
   outstanding discriminatory power in analysis of stratum
   lacunosum-moleculare (average VAR equaled 478.1 +/- 179.8) and stratum
   radiatum (average VAR of 145.9 +/- 59.2, p <0.0001). For the criterion
   VAR <= 227.5, sensitivity and specificity were 90\% and 86.7\%,
   respectively. GLCM correlation as a parameter also produced large area
   under the ROC curve of 0.95. Our results are in accordance with the
   findings of our previous study regarding brain white mass fractal and
   textural analysis. GLCM algorithm as an image analysis method has
   potentially high applicability in structural analysis of brain tissue
   cytoarcitecture. (C) 2015 Elsevier Ltd. All rights reserved.",
journal = "Journal of Theoretical Biology",
title = "Discriminatory ability of fractal and grey level co-occurrence matrix
 methods in structural analysis of hippocampus layers",
volume = "370",
doi = "10.1016/j.jtbi.2015.01.035",
pages = "151-156"
}
Pantic, I., Dacic, S., Brkic, P., Lavrnja, I., Jovanovic, T., Pantic, S.,& Peković, S.. (2015). Discriminatory ability of fractal and grey level co-occurrence matrix
 methods in structural analysis of hippocampus layers. in Journal of Theoretical Biology, 370, 151-156.
https://doi.org/10.1016/j.jtbi.2015.01.035
Pantic I, Dacic S, Brkic P, Lavrnja I, Jovanovic T, Pantic S, Peković S. Discriminatory ability of fractal and grey level co-occurrence matrix
 methods in structural analysis of hippocampus layers. in Journal of Theoretical Biology. 2015;370:151-156.
doi:10.1016/j.jtbi.2015.01.035 .
Pantic, Igor, Dacic, Sanja, Brkic, Predrag, Lavrnja, Irena, Jovanovic, Tomislav, Pantic, Senka, Peković, Sanja, "Discriminatory ability of fractal and grey level co-occurrence matrix
 methods in structural analysis of hippocampus layers" in Journal of Theoretical Biology, 370 (2015):151-156,
https://doi.org/10.1016/j.jtbi.2015.01.035 . .
33
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Application of Fractal and Grey Level Co-Occurrence Matrix Analysis in Evaluation of Brain Corpus Callosum and Cingulum Architecture

Pantic, Igor; Dacic, Sanja; Brkic, Predrag; Lavrnja, Irena; Pantic, Senka; Jovanovic, Tomislav; Peković, Sanja

(2014)

TY  - JOUR
AU  - Pantic, Igor
AU  - Dacic, Sanja
AU  - Brkic, Predrag
AU  - Lavrnja, Irena
AU  - Pantic, Senka
AU  - Jovanovic, Tomislav
AU  - Peković, Sanja
PY  - 2014
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/2144
AB  - This aim of this study was to assess the discriminatory value of fractal
   and grey level co-occurrence matrix (GLCM) analysis methods in standard
   microscopy analysis of two histologically similar brain white mass
   regions that have different nerve fiber orientation. A total of 160
   digital micrographs of thionine-stained rat brain white mass were
   acquired using a Pro-MicroScan DEM-200 instrument. Eighty micrographs
   from the anterior corpus callosum and eighty from the anterior cingulum
   areas of the brain were analyzed. The micrographs were evaluated using
   the National Institutes of Health ImageJ software and its plugins. For
   each micrograph, seven parameters were calculated: angular second
   moment, inverse difference moment, GLCM contrast, GLCM correlation, GLCM
   variance, fractal dimension, and lacunarity. Using the Receiver
   operating characteristic analysis, the highest discriminatory value was
   determined for inverse difference moment (IDM) (area under the receiver
   operating characteristic (ROC) curve equaled 0.925, and for the
   criterion IDM <= 0.610 the sensitivity and specificity were 82.5 and
   87.5\%, respectively). Most of the other parameters also showed good
   sensitivity and specificity. The results indicate that GLCM and fractal
   analysis methods, when applied together in brain histology analysis, are
   highly capable of discriminating white mass structures that have
   different axonal orientation.
T2  - Microscopy and Microanalysis
T1  - Application of Fractal and Grey Level Co-Occurrence Matrix Analysis in
 Evaluation of Brain Corpus Callosum and Cingulum Architecture
IS  - 5
VL  - 20
DO  - 10.1017/S1431927614012811
SP  - 1373
EP  - 1381
ER  - 
@article{
author = "Pantic, Igor and Dacic, Sanja and Brkic, Predrag and Lavrnja, Irena and Pantic, Senka and Jovanovic, Tomislav and Peković, Sanja",
year = "2014",
abstract = "This aim of this study was to assess the discriminatory value of fractal
   and grey level co-occurrence matrix (GLCM) analysis methods in standard
   microscopy analysis of two histologically similar brain white mass
   regions that have different nerve fiber orientation. A total of 160
   digital micrographs of thionine-stained rat brain white mass were
   acquired using a Pro-MicroScan DEM-200 instrument. Eighty micrographs
   from the anterior corpus callosum and eighty from the anterior cingulum
   areas of the brain were analyzed. The micrographs were evaluated using
   the National Institutes of Health ImageJ software and its plugins. For
   each micrograph, seven parameters were calculated: angular second
   moment, inverse difference moment, GLCM contrast, GLCM correlation, GLCM
   variance, fractal dimension, and lacunarity. Using the Receiver
   operating characteristic analysis, the highest discriminatory value was
   determined for inverse difference moment (IDM) (area under the receiver
   operating characteristic (ROC) curve equaled 0.925, and for the
   criterion IDM <= 0.610 the sensitivity and specificity were 82.5 and
   87.5\%, respectively). Most of the other parameters also showed good
   sensitivity and specificity. The results indicate that GLCM and fractal
   analysis methods, when applied together in brain histology analysis, are
   highly capable of discriminating white mass structures that have
   different axonal orientation.",
journal = "Microscopy and Microanalysis",
title = "Application of Fractal and Grey Level Co-Occurrence Matrix Analysis in
 Evaluation of Brain Corpus Callosum and Cingulum Architecture",
number = "5",
volume = "20",
doi = "10.1017/S1431927614012811",
pages = "1373-1381"
}
Pantic, I., Dacic, S., Brkic, P., Lavrnja, I., Pantic, S., Jovanovic, T.,& Peković, S.. (2014). Application of Fractal and Grey Level Co-Occurrence Matrix Analysis in
 Evaluation of Brain Corpus Callosum and Cingulum Architecture. in Microscopy and Microanalysis, 20(5), 1373-1381.
https://doi.org/10.1017/S1431927614012811
Pantic I, Dacic S, Brkic P, Lavrnja I, Pantic S, Jovanovic T, Peković S. Application of Fractal and Grey Level Co-Occurrence Matrix Analysis in
 Evaluation of Brain Corpus Callosum and Cingulum Architecture. in Microscopy and Microanalysis. 2014;20(5):1373-1381.
doi:10.1017/S1431927614012811 .
Pantic, Igor, Dacic, Sanja, Brkic, Predrag, Lavrnja, Irena, Pantic, Senka, Jovanovic, Tomislav, Peković, Sanja, "Application of Fractal and Grey Level Co-Occurrence Matrix Analysis in
 Evaluation of Brain Corpus Callosum and Cingulum Architecture" in Microscopy and Microanalysis, 20, no. 5 (2014):1373-1381,
https://doi.org/10.1017/S1431927614012811 . .
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Changes in fractal dimension and lacunarity as early markers of UV-induced apoptosis

Pantic, Igor; Harhaji-Trajković, Ljubica; Pantović, Aleksandar; Milošević, Nebojša; Trajković, Vladimir

(Academic Press, 2012)

TY  - JOUR
AU  - Pantic, Igor
AU  - Harhaji-Trajković, Ljubica
AU  - Pantović, Aleksandar
AU  - Milošević, Nebojša
AU  - Trajković, Vladimir
PY  - 2012
UR  - 2-s2.0-84860523993
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/6225
AB  - The aim of our study was to employ fractal analysis for evaluation of ultrastructural changes during early stages of apoptosis. Apoptosis was induced in U251 human glioma cell line by exposure to UVB light. The cells were visualized by optical phase-contrast microscopy and photographed before the UV treatment, immediately after the treatment, as well as at 30 min intervals during 5h observation period. For each of the 32 cells analyzed, cellular and nuclear fractal dimension, as well as nuclear lacunarity, were determined at each time point. Our data demonstrate that cellular ultrastructural complexity determined by fractal dimension and lacunarity significantly decreases after the UV irradiation, with the nuclear lacunarity being a particularly sensitive parameter in detecting early apoptosis. Importantly, fractal analysis was able to detect cellular apoptotic changes earlier than conventional flow cytometric analysis of phosphatidylserine exposure, DNA fragmentation and cell membrane permeabilization. These results indicate that fractal analysis might be a powerful and affordable method for non-invasive early identification of apoptosis in cell cultures.
PB  - Academic Press
T2  - Journal of Theoretical Biology
T1  - Changes in fractal dimension and lacunarity as early markers of UV-induced apoptosis
VL  - 303
DO  - 10.1016/j.jtbi.2012.03.013
SP  - 87
EP  - 92
ER  - 
@article{
author = "Pantic, Igor and Harhaji-Trajković, Ljubica and Pantović, Aleksandar and Milošević, Nebojša and Trajković, Vladimir",
year = "2012",
abstract = "The aim of our study was to employ fractal analysis for evaluation of ultrastructural changes during early stages of apoptosis. Apoptosis was induced in U251 human glioma cell line by exposure to UVB light. The cells were visualized by optical phase-contrast microscopy and photographed before the UV treatment, immediately after the treatment, as well as at 30 min intervals during 5h observation period. For each of the 32 cells analyzed, cellular and nuclear fractal dimension, as well as nuclear lacunarity, were determined at each time point. Our data demonstrate that cellular ultrastructural complexity determined by fractal dimension and lacunarity significantly decreases after the UV irradiation, with the nuclear lacunarity being a particularly sensitive parameter in detecting early apoptosis. Importantly, fractal analysis was able to detect cellular apoptotic changes earlier than conventional flow cytometric analysis of phosphatidylserine exposure, DNA fragmentation and cell membrane permeabilization. These results indicate that fractal analysis might be a powerful and affordable method for non-invasive early identification of apoptosis in cell cultures.",
publisher = "Academic Press",
journal = "Journal of Theoretical Biology",
title = "Changes in fractal dimension and lacunarity as early markers of UV-induced apoptosis",
volume = "303",
doi = "10.1016/j.jtbi.2012.03.013",
pages = "87-92"
}
Pantic, I., Harhaji-Trajković, L., Pantović, A., Milošević, N.,& Trajković, V.. (2012). Changes in fractal dimension and lacunarity as early markers of UV-induced apoptosis. in Journal of Theoretical Biology
Academic Press., 303, 87-92.
https://doi.org/10.1016/j.jtbi.2012.03.013
Pantic I, Harhaji-Trajković L, Pantović A, Milošević N, Trajković V. Changes in fractal dimension and lacunarity as early markers of UV-induced apoptosis. in Journal of Theoretical Biology. 2012;303:87-92.
doi:10.1016/j.jtbi.2012.03.013 .
Pantic, Igor, Harhaji-Trajković, Ljubica, Pantović, Aleksandar, Milošević, Nebojša, Trajković, Vladimir, "Changes in fractal dimension and lacunarity as early markers of UV-induced apoptosis" in Journal of Theoretical Biology, 303 (2012):87-92,
https://doi.org/10.1016/j.jtbi.2012.03.013 . .
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