TY  - JOUR
AU  - Šaponjić, Jasna
AU  - Mejías, Rebeca
AU  - Nikolovski, Neda
AU  - Dragić, Milorad
AU  - Canak, Asuman
AU  - Papoutsopoulou, Stamatia
AU  - Gürsoy-Özdemir, Yasemin
AU  - Fladmark, Kari E.
AU  - Ntavaroukas, Panagiotis
AU  - Bayar Muluk, Nuray
AU  - Zeljković Jovanović, Milica
AU  - Fontán-Lozano, Ángela
AU  - Comi, Cristoforo
AU  - Marino, Franca
PY  - 2024
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/13221
AB  - Parkinson’s disease (PD) is a chronic, age-related, progressive multisystem disease associated with neuroinflammation and immune dysfunction. This review discusses the methodological approaches used to study the changes in central and peripheral immunity in PD, the advantages and limitations of the techniques, and their applicability to humans. Although a single animal model cannot replicate all pathological features of the human disease, neuroinflammation is present in most animal models of PD and plays a critical role in understanding the involvement of the immune system (IS) in the pathogenesis of PD. The IS and its interactions with different cell types in the central nervous system (CNS) play an important role in the pathogenesis of PD. Even though culture models do not fully reflect the complexity of disease progression, they are limited in their ability to mimic long-term effects and need validation through in vivo studies. They are an indispensable tool for understanding the interplay between the IS and the pathogenesis of this disease. Understanding the immune-mediated mechanisms may lead to potential therapeutic targets for the treatment of PD. We believe that the development of methodological guidelines for experiments with animal models and PD patients is crucial to ensure the validity and consistency of the results.
T2  - International Journal of Molecular Sciences
T1  - Experimental Models to Study Immune Dysfunction in the Pathogenesis of Parkinson’s Disease
VL  - 25
IS  - 8
SP  - 4330
DO  - 10.3390/ijms25084330
ER  - 

@article{
author = "Šaponjić, Jasna and Mejías, Rebeca and Nikolovski, Neda and Dragić, Milorad and Canak, Asuman and Papoutsopoulou, Stamatia and Gürsoy-Özdemir, Yasemin and Fladmark, Kari E. and Ntavaroukas, Panagiotis and Bayar Muluk, Nuray and Zeljković Jovanović, Milica and Fontán-Lozano, Ángela and Comi, Cristoforo and Marino, Franca",
year = "2024",
abstract = "Parkinson’s disease (PD) is a chronic, age-related, progressive multisystem disease associated with neuroinflammation and immune dysfunction. This review discusses the methodological approaches used to study the changes in central and peripheral immunity in PD, the advantages and limitations of the techniques, and their applicability to humans. Although a single animal model cannot replicate all pathological features of the human disease, neuroinflammation is present in most animal models of PD and plays a critical role in understanding the involvement of the immune system (IS) in the pathogenesis of PD. The IS and its interactions with different cell types in the central nervous system (CNS) play an important role in the pathogenesis of PD. Even though culture models do not fully reflect the complexity of disease progression, they are limited in their ability to mimic long-term effects and need validation through in vivo studies. They are an indispensable tool for understanding the interplay between the IS and the pathogenesis of this disease. Understanding the immune-mediated mechanisms may lead to potential therapeutic targets for the treatment of PD. We believe that the development of methodological guidelines for experiments with animal models and PD patients is crucial to ensure the validity and consistency of the results.",
journal = "International Journal of Molecular Sciences",
title = "Experimental Models to Study Immune Dysfunction in the Pathogenesis of Parkinson’s Disease",
volume = "25",
number = "8",
pages = "4330",
doi = "10.3390/ijms25084330"
}

Šaponjić, J., Mejías, R., Nikolovski, N., Dragić, M., Canak, A., Papoutsopoulou, S., Gürsoy-Özdemir, Y., Fladmark, K. E., Ntavaroukas, P., Bayar Muluk, N., Zeljković Jovanović, M., Fontán-Lozano, Á., Comi, C.,& Marino, F.. (2024). Experimental Models to Study Immune Dysfunction in the Pathogenesis of Parkinson’s Disease. in International Journal of Molecular Sciences, 25(8), 4330.
https://doi.org/10.3390/ijms25084330

Šaponjić J, Mejías R, Nikolovski N, Dragić M, Canak A, Papoutsopoulou S, Gürsoy-Özdemir Y, Fladmark KE, Ntavaroukas P, Bayar Muluk N, Zeljković Jovanović M, Fontán-Lozano Á, Comi C, Marino F. Experimental Models to Study Immune Dysfunction in the Pathogenesis of Parkinson’s Disease. in International Journal of Molecular Sciences. 2024;25(8):4330.
doi:10.3390/ijms25084330 .

Šaponjić, Jasna, Mejías, Rebeca, Nikolovski, Neda, Dragić, Milorad, Canak, Asuman, Papoutsopoulou, Stamatia, Gürsoy-Özdemir, Yasemin, Fladmark, Kari E., Ntavaroukas, Panagiotis, Bayar Muluk, Nuray, Zeljković Jovanović, Milica, Fontán-Lozano, Ángela, Comi, Cristoforo, Marino, Franca, "Experimental Models to Study Immune Dysfunction in the Pathogenesis of Parkinson’s Disease" in International Journal of Molecular Sciences, 25, no. 8 (2024):4330,
https://doi.org/10.3390/ijms25084330 . .

TY  - JOUR
AU  - Bojić, Tijana
AU  - Šaponjić, Jasna
AU  - Radulovački, Miodrag
AU  - Carley, David W
AU  - Kalauzi, Aleksandar
PY  - 2008
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8871
AB  - We applied a novel approach to respiratory waveform analysis-Monotone Signal Segments Analysis (MSSA) on 6-h recordings of respiratory signals in rats. To validate MSSA as a respiratory signal analysis tool we tested it by detecting: breaths and breath-to-breath intervals; respiratory timing and volume modes; and changes in respiratory pattern caused by lesions of monoaminergic systems in rats. MSSA differentiated three respiratory timing (tachypneic, eupneic, bradypneic-apneic), and three volume (artifacts, normovolemic, hypervolemic-sighs) modes. Lesion-induced respiratory pattern modulation was visible as shifts in the distributions of monotone signal segment amplitudes, and of breath-to-breath intervals. Specifically, noradrenergic lesion induced an increase in mean volume (p ≤ 0.03), with no change of the mean breath-to-breath interval duration (p ≥ 0.06). MSSA of timing modes detected noradrenergic lesion-induced interdependent changes in the balance of eupneic (decrease; p ≤ 0.02), and tachypneic (an increase; p ≤ 0.02) breath intervals with respect to control. In terms of breath durations within each timing mode, there was a tendency toward prolongation of the eupneic (p ≤ 0.08) and bradypneic-apneic (p ≤ 0.06) intervals. These results demonstrate that MSSA is sensitive to subtle shifts in respiratory rhythmogenesis not detectable by simple respiratory pattern descriptive statistics. MSSA represents a potentially valuable new tool for investigations of respiratory pattern control. © 2008 Elsevier B.V. All rights reserved.
T2  - Respiratory Physiology and Neurobiology
T1  - Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat
VL  - 161
IS  - 3
SP  - 273
EP  - 280
DO  - 10.1016/j.resp.2008.03.001
ER  - 

@article{
author = "Bojić, Tijana and Šaponjić, Jasna and Radulovački, Miodrag and Carley, David W and Kalauzi, Aleksandar",
year = "2008",
abstract = "We applied a novel approach to respiratory waveform analysis-Monotone Signal Segments Analysis (MSSA) on 6-h recordings of respiratory signals in rats. To validate MSSA as a respiratory signal analysis tool we tested it by detecting: breaths and breath-to-breath intervals; respiratory timing and volume modes; and changes in respiratory pattern caused by lesions of monoaminergic systems in rats. MSSA differentiated three respiratory timing (tachypneic, eupneic, bradypneic-apneic), and three volume (artifacts, normovolemic, hypervolemic-sighs) modes. Lesion-induced respiratory pattern modulation was visible as shifts in the distributions of monotone signal segment amplitudes, and of breath-to-breath intervals. Specifically, noradrenergic lesion induced an increase in mean volume (p ≤ 0.03), with no change of the mean breath-to-breath interval duration (p ≥ 0.06). MSSA of timing modes detected noradrenergic lesion-induced interdependent changes in the balance of eupneic (decrease; p ≤ 0.02), and tachypneic (an increase; p ≤ 0.02) breath intervals with respect to control. In terms of breath durations within each timing mode, there was a tendency toward prolongation of the eupneic (p ≤ 0.08) and bradypneic-apneic (p ≤ 0.06) intervals. These results demonstrate that MSSA is sensitive to subtle shifts in respiratory rhythmogenesis not detectable by simple respiratory pattern descriptive statistics. MSSA represents a potentially valuable new tool for investigations of respiratory pattern control. © 2008 Elsevier B.V. All rights reserved.",
journal = "Respiratory Physiology and Neurobiology",
title = "Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat",
volume = "161",
number = "3",
pages = "273-280",
doi = "10.1016/j.resp.2008.03.001"
}

Bojić, T., Šaponjić, J., Radulovački, M., Carley, D. W.,& Kalauzi, A.. (2008). Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat. in Respiratory Physiology and Neurobiology, 161(3), 273-280.
https://doi.org/10.1016/j.resp.2008.03.001

Bojić T, Šaponjić J, Radulovački M, Carley DW, Kalauzi A. Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat. in Respiratory Physiology and Neurobiology. 2008;161(3):273-280.
doi:10.1016/j.resp.2008.03.001 .

Bojić, Tijana, Šaponjić, Jasna, Radulovački, Miodrag, Carley, David W, Kalauzi, Aleksandar, "Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat" in Respiratory Physiology and Neurobiology, 161, no. 3 (2008):273-280,
https://doi.org/10.1016/j.resp.2008.03.001 . .

TY  - JOUR
AU  - Bojić, Tijana
AU  - Šaponjić, Jasna
AU  - Radulovački, Miodrag
AU  - Carley, David W
AU  - Kalauzi, Aleksandar
PY  - 2008
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8878
AB  - We applied a novel approach to respiratory waveform analysis-Monotone Signal Segments Analysis (MSSA) on 6-h recordings of respiratory signals in rats. To validate MSSA as a respiratory signal analysis tool we tested it by detecting: breaths and breath-to-breath intervals; respiratory timing and volume modes; and changes in respiratory pattern caused by lesions of monoaminergic systems in rats. MSSA differentiated three respiratory timing (tachypneic, eupneic, bradypneic-apneic), and three volume (artifacts, normovolemic, hypervolemic-sighs) modes. Lesion-induced respiratory pattern modulation was visible as shifts in the distributions of monotone signal segment amplitudes, and of breath-to-breath intervals. Specifically, noradrenergic lesion induced an increase in mean volume (p ≤ 0.03), with no change of the mean breath-to-breath interval duration (p ≥ 0.06). MSSA of timing modes detected noradrenergic lesion-induced interdependent changes in the balance of eupneic (decrease; p ≤ 0.02), and tachypneic (an increase; p ≤ 0.02) breath intervals with respect to control. In terms of breath durations within each timing mode, there was a tendency toward prolongation of the eupneic (p ≤ 0.08) and bradypneic-apneic (p ≤ 0.06) intervals. These results demonstrate that MSSA is sensitive to subtle shifts in respiratory rhythmogenesis not detectable by simple respiratory pattern descriptive statistics. MSSA represents a potentially valuable new tool for investigations of respiratory pattern control. © 2008 Elsevier B.V. All rights reserved.
T2  - Respiratory Physiology and Neurobiology
T1  - Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat
VL  - 161
IS  - 3
SP  - 273
EP  - 280
DO  - 10.1016/j.resp.2008.03.001
ER  - 

@article{
author = "Bojić, Tijana and Šaponjić, Jasna and Radulovački, Miodrag and Carley, David W and Kalauzi, Aleksandar",
year = "2008",
abstract = "We applied a novel approach to respiratory waveform analysis-Monotone Signal Segments Analysis (MSSA) on 6-h recordings of respiratory signals in rats. To validate MSSA as a respiratory signal analysis tool we tested it by detecting: breaths and breath-to-breath intervals; respiratory timing and volume modes; and changes in respiratory pattern caused by lesions of monoaminergic systems in rats. MSSA differentiated three respiratory timing (tachypneic, eupneic, bradypneic-apneic), and three volume (artifacts, normovolemic, hypervolemic-sighs) modes. Lesion-induced respiratory pattern modulation was visible as shifts in the distributions of monotone signal segment amplitudes, and of breath-to-breath intervals. Specifically, noradrenergic lesion induced an increase in mean volume (p ≤ 0.03), with no change of the mean breath-to-breath interval duration (p ≥ 0.06). MSSA of timing modes detected noradrenergic lesion-induced interdependent changes in the balance of eupneic (decrease; p ≤ 0.02), and tachypneic (an increase; p ≤ 0.02) breath intervals with respect to control. In terms of breath durations within each timing mode, there was a tendency toward prolongation of the eupneic (p ≤ 0.08) and bradypneic-apneic (p ≤ 0.06) intervals. These results demonstrate that MSSA is sensitive to subtle shifts in respiratory rhythmogenesis not detectable by simple respiratory pattern descriptive statistics. MSSA represents a potentially valuable new tool for investigations of respiratory pattern control. © 2008 Elsevier B.V. All rights reserved.",
journal = "Respiratory Physiology and Neurobiology",
title = "Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat",
volume = "161",
number = "3",
pages = "273-280",
doi = "10.1016/j.resp.2008.03.001"
}

Bojić, T., Šaponjić, J., Radulovački, M., Carley, D. W.,& Kalauzi, A.. (2008). Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat. in Respiratory Physiology and Neurobiology, 161(3), 273-280.
https://doi.org/10.1016/j.resp.2008.03.001

Bojić T, Šaponjić J, Radulovački M, Carley DW, Kalauzi A. Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat. in Respiratory Physiology and Neurobiology. 2008;161(3):273-280.
doi:10.1016/j.resp.2008.03.001 .

Bojić, Tijana, Šaponjić, Jasna, Radulovački, Miodrag, Carley, David W, Kalauzi, Aleksandar, "Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat" in Respiratory Physiology and Neurobiology, 161, no. 3 (2008):273-280,
https://doi.org/10.1016/j.resp.2008.03.001 . .