12 research outputs found
The mechanisms of rat astrocytes survival in the medium without glucose and in hypoxic conditions in vitro
Π£Π²ΠΎΠ΄. ΠΠΎΠ·Π½Π°ΡΠΎ ΡΠ΅ Π΄Π° Π°ΡΡΡΠΎΡΠΈΡΠΈ ΠΏΡΠ΅ΠΆΠΈΠ²ΡΠ°Π²Π°ΡΡ Π΄ΡΠΆΠ΅ ΠΈΠ·Π»Π°Π³Π°ΡΠ° Π΄Π΅ΠΏΡΠΈΠ²Π°ΡΠΈΡΠΈ ΠΊΠΈΡΠ΅ΠΎΠ½ΠΈΠΊΠ° ΠΈ
Π³Π»ΡΠΊΠΎΠ·Π΅ (OGD) ΠΈ Π΄Π° ΠΏΡΠ΅ΠΆΠΈΠ²ΡΠ°Π²Π°ΡΡ Π΄Π°Π½ΠΈΠΌΠ° Π±Π΅Π· Π½ΡΡΡΠΈΡΠ΅Π½Π°ΡΠ° Ρ ΠΏΠΎΡΠ΅ΡΠ΅ΡΡ ΡΠ° ΠΈΠ·ΡΠ°Π·ΠΈΡΠΎ
ΠΎΡΠ΅ΡΡΠΈΠ²ΠΈΠΌ Π½Π΅ΡΡΠΎΠ½ΠΈΠΌΠ°. Π Π°Π·Π»ΠΎΠ·ΠΈ ΠΎΠ²Π°ΠΊΠΎ ΡΠΌΠ°ΡΠ΅Π½Π΅ ΠΎΡΠ΅ΡΡΠΈΠ²ΠΎΡΡΠΈ Π°ΡΡΡΠΎΡΠΈΡΠ° ΠΈ Π΄Π°ΡΠ΅ Π½ΠΈΡΡ
Π΄ΠΎΠ²ΠΎΡΠ½ΠΎ ΡΠ°Π·ΡΠ°ΡΡΠ΅Π½ΠΈ. Π¨ΡΠ° Π²ΠΈΡΠ΅, ΠΏΡΠΎΠΌΠ΅Π½Π΅ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ΡΠΊΠΎΠ³ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π° ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ°
(Οm) Π°ΡΡΡΠΎΡΠΈΡΠ°, ΠΊΠ°ΠΎ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠ° ΡΠ΅Π»ΠΈΡΡΠΊΠΎΠ³ Π΅Π½Π΅ΡΠ³Π΅ΡΡΠΊΠΎΠ³ ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΠ·ΠΌΠ° ΠΈ Π²ΠΈΡΠ°Π±ΠΈΠ»Π½ΠΎΡΡΠΈ,
Π½ΠΈΡΡ ΠΈΡΠΏΠΈΡΠ°Π½Π΅ ΡΠΎΠΊΠΎΠΌ ΡΠΈΠΌΡΠ»ΠΈΡΠ°Π½Π΅ ΡΠ΅ΠΏΠ΅ΡΡΡΠ·ΠΈΡΠ΅ Π½Π°ΠΊΠΎΠ½ Π΄ΡΠΆΠ΅Π³ ΠΈΠ·Π»Π°Π³Π°ΡΠ° OGD (ΠΎΠ΄Π½ΠΎΡΠ½ΠΎ
1 % Π2 Π±Π΅Π· Π³Π»ΡΠΊΠΎΠ·Π΅ Ρ ΠΏΡΠΈΡΡΡΡΠ²Ρ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π΅ ΠΊΠΎΠ»ΠΈΡΠΈΠ½Π΅ Π°Π»ΡΠ΅ΡΠ½Π°ΡΠΈΠ²Π½ΠΈΡ
Π½ΡΡΡΠΈΡΠ΅Π½Π°ΡΠ°).
Π‘ΠΌΠ°ΡΠ΅Π½Π° ΠΎΡΠ΅ΡΡΠΈΠ²ΠΎΡΡ Π°ΡΡΡΠΎΡΠΈΡΠ° ΠΌΠΎΠΆΠ΅ Π±ΠΈΡΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΠΈΡΠ° ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ° Π°Π»ΡΠ΅ΡΠ½Π°ΡΠΈΠ²Π½ΠΈΡ
Π²Π°Π½ΡΠ΅Π»ΠΈΡΡΠΊΠΈΡ
ΠΈΠ·Π²ΠΎΡΠ° Π΅Π½Π΅ΡΠ³ΠΈΡΠ΅, ΠΊΠ°ΠΎ ΠΈ ΡΠ½ΡΡΠ°ΡΡΠ΅Π»ΠΈΡΡΠΊΠΈΡ
Π·Π°Π»ΠΈΡ
Π° Π΅Π½Π΅ΡΠ³ΠΈΡΠ΅ Ρ ΡΠΈΡΡ ΠΎΠ΄ΡΠΆΠ°ΡΠ°
ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ΡΠΊΠΎΠ³ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π° ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ°. Π‘ΡΡΠ°ΡΠ΅Π³ΠΈΡΠ° ΠΏΡΠ΅ΠΆΠΈΠ²ΡΠ°Π²Π°ΡΠ° Π°ΡΡΡΠΎΡΠΈΡΠ° ΡΠΎΠΊΠΎΠΌ
ΡΠ°ΠΊΠ²ΠΈΡ
ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΡΠΊΠΈΡ
ΠΈΠ·Π°Π·ΠΎΠ²Π° ΠΈ Π΄Π°ΡΠ΅ Π½ΠΈΡΠ΅ ΡΠ°ΡΠ½Π°.
ΠΠ΅ΡΠΎΠ΄Π΅. Π£ ΠΎΠ²ΠΎΡ ΡΡΡΠ΄ΠΈΡΠΈ, ΠΊΡΠ»ΡΡΡΠ° Π°ΡΡΡΠΎΡΠΈΡΠ° ΠΈΠ·Π»ΠΎΠΆΠ΅Π½Π° ΡΠ΅ Π΄Π΅ΠΏΡΠΈΠ²Π°ΡΠΈΡΠΈ Π³Π»ΡΠΊΠΎΠ·Π΅ (GD),
OGD ΠΈ ΡΠΈΡ
ΠΎΠ²ΠΎΡ ΡΡΠΊΡΠ΅ΡΠΈΠ²Π½ΠΎΡ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΡΠΈ ΡΠ°Π·Π»ΠΈΡΠΈΡΠΈΡ
ΡΡΠ°ΡΠ°ΡΠ°. ΠΡΠΎΠΌΠ΅Π½Π΅ Οm, ΠΏΡΠ°ΡΠ΅Π½Π΅
ΠΏΡΡΠ΅ΠΌ ΠΏΡΠΎΠΌΠ΅Π½Π° Ρ ΡΠ»ΡΠΎΡΠ΅ΡΡΠ΅Π½ΡΠΈΡΠΈ JC-1, ΠΈΡΠΏΠΈΡΠ°Π½Π΅ ΡΡ Ρ ΡΠΎΠΊΡ ΡΠ΅Π΄Π½ΠΎΠ³ ΡΠ°ΡΠ° ΡΠΎΠΊΠΎΠΌ
ΡΠΈΠΌΡΠ»ΠΈΡΠ°Π½Π΅ ΡΠ΅ΠΏΠ΅ΡΡΡΠ·ΠΈΡΠ΅ Ρ ΡΠΈΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΎΠ²Π°ΡΠ° ΡΡΠ»ΠΎΠ²Π° in vivo. Π€Π»ΡΠΎΡΠ΅ΡΡΠ΅Π½ΡΠ½ΠΈ ΠΎΠ±Π΅Π»Π΅ΠΆΠΈΠ²Π°Ρ
ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ° JC-1 ΡΠ»Π°Π·ΠΈ Ρ ΠΌΠ°ΡΡΠΈΠΊΡ ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ΅ Ρ Π·Π°Π²ΠΈΡΠ½ΠΎΡΡΠΈ ΠΎΠ΄ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π°
ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π΅ ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ΅, ΠΏΠΎΠΌΠ΅ΡΠ°ΡΡΡΠΈ ΠΏΡΠΈ ΡΠΎΠΌΠ΅ ΠΌΠ°ΠΊΡΠΈΠΌΡΠΌ ΡΠ»ΡΠΎΡΠ΅ΡΡΠ΅Π½ΡΠΈΡΠ΅ ΠΈΠ· Π·Π΅Π»Π΅Π½ΠΎΠ³ Ρ
ΡΡΠ²Π΅Π½ΠΈ Π΄Π΅ΠΎ ΡΠΏΠ΅ΠΊΡΡΠ°. Π’Π°ΠΊΠΎΡΠ΅, Π΅ΡΠ΅ΠΊΡΠΈ ΡΠ°ΡΠΌΠ°ΠΊΠΎΠ»ΠΎΡΠΊΠ΅ ΠΈΠ½Ρ
ΠΈΠ±ΠΈΡΠΈΡΠ΅ Π΄Π²Π° Π±ΠΈΡΠ½Π°
ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΡΠΊΠ° ΠΏΡΡΠ°: Π°ΡΡΠΎΡΠ°Π³ΠΈΡΠ΅ Ρ
Π»ΠΎΡΠΎΠΊΠΈΠ½ΠΎΠΌ (CQ) ΠΈ Π»ΠΈΠΏΠΎΠ»ΠΈΠ·Π΅ ΠΎΡΠ»ΠΈΡΡΠ°ΡΠΎΠΌ, ΠΈΡΠΏΠΈΡΠ°Π½ΠΈ ΡΡ
ΡΠΎΠΊΠΎΠΌ Π΄Π΅ΠΏΡΠΈΠ²Π°ΡΠΈΡΠ΅ Π½ΡΡΡΠΈΡΠ΅Π½Π°ΡΠ°. ΠΡΠ°ΡΠ΅Π½ ΡΠ΅ ΡΡΠΈΡΠ°Ρ ΠΏΠΎΠΌΠ΅Π½ΡΡΠΈΡ
ΠΈΠ½Ρ
ΠΈΠ±ΠΈΡΠΈΡΠ° Π½Π° ΠΏΡΠΎΠΌΠ΅Π½Π΅
Π²ΠΈΡΠ°Π±ΠΈΠ»Π½ΠΎΡΡΠΈ Π°ΡΡΡΠΎΡΠΈΡΠ° Π±ΠΎΡΠ΅ΡΠΈΠΌΠ° ΡΠ° Π°ΠΊΡΠΈΠ΄ΠΈΠ½ Π½Π°ΡΠ°Π½ΡΠ°ΡΡΠΈΠΌ (AO) ΠΈ ΠΏΡΠΎΠΏΠΈΠ΄ΠΈΡΡΠΌ
ΡΠΎΠ΄ΠΈΠ΄ΠΎΠΌ (PI), ΠΊΠ°ΠΎ ΠΈ ΠΏΡΠΎΠΌΠ΅Π½Π΅ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ΡΠΊΠΎΠ³ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π° ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ° (JC-1).
Π Π΅Π·ΡΠ»ΡΠ°ΡΠΈ. ΠΠΎΠΊΠ°Π·Π°Π»ΠΈ ΡΠΌΠΎ Π΄Π° ΡΡ Π°ΡΡΡΠΎΡΠΈΡΠΈ ΠΎΡΠΏΠΎΡΠ½ΠΈ Π½Π° Π΄ΡΠΆΠ΅ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ OGD (Ρ ΡΡΠ°ΡΠ°ΡΡ
ΠΎΠ΄ 6 ΠΈ 8 ΡΠ°ΡΠΎΠ²Π°) ΠΊΠΎΡΠ° ΡΠ΅ ΠΈΠΌΠ°Π»Π° ΡΠ»Π°Π± ΡΡΠΈΡΠ°Ρ Π½Π° Οm ΡΠΎΠΊΠΎΠΌ ΡΠΈΠΌΡΠ»ΠΈΡΠ°Π½Π΅ ΡΠ΅ΠΏΠ΅ΡΡΡΠ·ΠΈΡΠ΅, Π΄ΠΎΠΊ ΡΠ΅
GD Π΄ΠΎΠ²Π΅Π»Π° Π΄ΠΎ Ρ
ΠΈΠΏΠ΅ΡΠΏΠΎΠ»Π°ΡΠΈΠ·Π°ΡΠΈΡΠ΅ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ΡΠΊΠΎΠ³ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π° ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ° Π°ΡΡΡΠΎΡΠΈΡΠ°...Introduction. Astrocytes are known to tolerate long periods of oxygen-glucose deprivation
(OGD) and they survive nutrient deprivation (ND) for days as compared to rather vulnerable
neurons. The reasons for this reduced vulnerability of astrocytes are not well understood. In
fact, changes in mitochondrial membrane potential (Οm), as the indicator of the cellular energy
metabolism and viability, have not been investigated during simulated reperfusion after
extended OGD exposure (i.e. 1 % of Π2 without glucose in the presence of limited
alternative nutrients). This reduced vulnerability could be due to utilization of the alternative
extracellular sources of energy, as well as utilization of the internal energy stores, in
maintenance of mitochondrial membrane potential. The pro-survival strategy of astrocytes
under such metabolic challenge is still not clear.
Methods. Here, we subjected astrocytes in culture to glucose deprivation (GD), OGD and
combinations of both conditions varying in duration and sequence. Changes in Οm, visualized
by the change in the fluorescence of JC-1, were investigated within one hour after
reconstitution of oxygen and glucose supply, intended to model in vivo reperfusion.
Fluorescent probe JC-1 enters the mitochondrial matrix in a potential-dependent manner,
thus shifting its emission from green to red. Furthermore, the effects of inhibition of two
potential steps in energy acquisition during ND: autophagy using chloroqione (CQ) and
lipolysis using orlistat were investigated. Changes in astrocytes viability were followed with
acridine orange (AO) and propidium iodide (PI) staining, and Οm was followed with JC-1.
Results. We showed that astrocytes were resilient to extended periods of OGD (6 and 8 h),
which had little effect on Οm during reperfusion, whereas GD contributed to a more negative
Οm. Subsequent chemical oxygen deprivation induced by sodium azide caused depolarization,
which, however, was significantly delayed as compared to the normoxic group. When GD
preceded OGD for 12 h, mitochondrial membrane hyperpolarization was induced by both
GD and subsequent OGD, but significant interaction between these conditions was not
detected..
Symmetry breaking and functional incompleteness in biological systems
Symmetry-based explanations using symmetry breaking (SB) as the key explanatory tool have complemented and replaced traditional causal explanations in various domains of physics. The process of spontaneous SB is now a mainstay of contemporary explanatory accounts of large chunks of condensed-matter physics, quantum field theory, nonlinear dynamics, cosmology, and other disciplines. A wide range of empirical research into various phenomena related to symmetries and SB across biological scales has accumulated as well. Led by these results, we identify and explain some common features of the emergence, propagation, and cascading of SB-induced layers across the biosphere. These features are predicated on the thermodynamic openness and intrinsic functional incompleteness of the systems at stake and have not been systematically analyzed from a general philosophical and methodological perspective. We also consider possible continuity of SB across the physical and biological world and discuss the connection between Darwinism and SB-based analysis of the biosphere and its history
Symmetry breaking and functional incompleteness in biological systems
Symmetry-based explanations using symmetry breaking (SB) as the key explanatory tool have complemented and replaced traditional causal explanations in various domains of physics. The process of spontaneous SB is now a mainstay of contemporary explanatory accounts of large chunks of condensed-matter physics, quantum field theory, nonlinear dynamics, cosmology, and other disciplines. A wide range of empirical research into various phenomena related to symmetries and SB across biological scales has accumulated as well. Led by these results, we identify and explain some common features of the emergence, propagation, and cascading of SB-induced layers across the biosphere. These features are predicated on the thermodynamic openness and intrinsic functional incompleteness of the systems at stake and have not been systematically analyzed from a general philosophical and methodological perspective. We also consider possible continuity of SB across the physical and biological world and discuss the connection between Darwinism and SB-based analysis of the biosphere and its history
Combined segmentation and classificationbased approach to automated analysis of biomedical signals obtained from calcium imaging
Automated screening systems in conjunction with machine learning-based methods are becoming an essential part of the healthcare systems for assisting in disease diagnosis. Moreover, manually annotating data and hand-crafting features for training purposes are impractical and time-consuming. We propose a segmentation and classification-based approach for assembling an automated screening system for the analysis of calcium imaging. The method was developed and verified using the effects of disease IgGs (from Amyotrophic Lateral Sclerosis patients) on calcium (Ca2+) homeostasis. From 33 imaging videos we analyzed, 21 belonged to the disease and 12 to the control experimental groups. The method consists of three main steps: projection, segmentation, and classification. The entire Ca2+ time-lapse image recordings (videos) were projected into a single image using different projection methods. Segmentation was performed by using a multi-level thresholding (MLT) step and the Regions of Interest (ROIs) that encompassed cell somas were detected. A mean value of the pixels within these boundaries was collected at each time point to obtain the Ca2+ traces (time-series). Finally, a new matrix called feature image was generated from those traces and used for assessing the classification accuracy of various classifiers (control vs. disease). The mean value of the segmentation F-score for all the data was above 0.80 throughout the tested threshold levels for all projection methods, namely maximum intensity, standard deviation, and standard deviation with linear scaling projection. Although the classification accuracy reached up to 90.14%, interestingly, we observed that achieving better scores in segmentation results did not necessarily correspond to an increase in classification performance. Our method takes the advantage of the multi-level thresholding and of a classification procedure based on the feature images, thus it does not have to rely on hand- crafted training parameters of each event. It thus provides a semi-autonomous tool for assessing segmentation parameters which allows for the best classification accuracy
The mechanisms of rat astrocytes survival in the medium without glucose and in hypoxic conditions in vitro
Π£Π²ΠΎΠ΄. ΠΠΎΠ·Π½Π°ΡΠΎ ΡΠ΅ Π΄Π° Π°ΡΡΡΠΎΡΠΈΡΠΈ ΠΏΡΠ΅ΠΆΠΈΠ²ΡΠ°Π²Π°ΡΡ Π΄ΡΠΆΠ΅ ΠΈΠ·Π»Π°Π³Π°ΡΠ° Π΄Π΅ΠΏΡΠΈΠ²Π°ΡΠΈΡΠΈ ΠΊΠΈΡΠ΅ΠΎΠ½ΠΈΠΊΠ° ΠΈ
Π³Π»ΡΠΊΠΎΠ·Π΅ (OGD) ΠΈ Π΄Π° ΠΏΡΠ΅ΠΆΠΈΠ²ΡΠ°Π²Π°ΡΡ Π΄Π°Π½ΠΈΠΌΠ° Π±Π΅Π· Π½ΡΡΡΠΈΡΠ΅Π½Π°ΡΠ° Ρ ΠΏΠΎΡΠ΅ΡΠ΅ΡΡ ΡΠ° ΠΈΠ·ΡΠ°Π·ΠΈΡΠΎ
ΠΎΡΠ΅ΡΡΠΈΠ²ΠΈΠΌ Π½Π΅ΡΡΠΎΠ½ΠΈΠΌΠ°. Π Π°Π·Π»ΠΎΠ·ΠΈ ΠΎΠ²Π°ΠΊΠΎ ΡΠΌΠ°ΡΠ΅Π½Π΅ ΠΎΡΠ΅ΡΡΠΈΠ²ΠΎΡΡΠΈ Π°ΡΡΡΠΎΡΠΈΡΠ° ΠΈ Π΄Π°ΡΠ΅ Π½ΠΈΡΡ
Π΄ΠΎΠ²ΠΎΡΠ½ΠΎ ΡΠ°Π·ΡΠ°ΡΡΠ΅Π½ΠΈ. Π¨ΡΠ° Π²ΠΈΡΠ΅, ΠΏΡΠΎΠΌΠ΅Π½Π΅ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ΡΠΊΠΎΠ³ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π° ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ°
(Οm) Π°ΡΡΡΠΎΡΠΈΡΠ°, ΠΊΠ°ΠΎ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠ° ΡΠ΅Π»ΠΈΡΡΠΊΠΎΠ³ Π΅Π½Π΅ΡΠ³Π΅ΡΡΠΊΠΎΠ³ ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΠ·ΠΌΠ° ΠΈ Π²ΠΈΡΠ°Π±ΠΈΠ»Π½ΠΎΡΡΠΈ,
Π½ΠΈΡΡ ΠΈΡΠΏΠΈΡΠ°Π½Π΅ ΡΠΎΠΊΠΎΠΌ ΡΠΈΠΌΡΠ»ΠΈΡΠ°Π½Π΅ ΡΠ΅ΠΏΠ΅ΡΡΡΠ·ΠΈΡΠ΅ Π½Π°ΠΊΠΎΠ½ Π΄ΡΠΆΠ΅Π³ ΠΈΠ·Π»Π°Π³Π°ΡΠ° OGD (ΠΎΠ΄Π½ΠΎΡΠ½ΠΎ
1 % Π2 Π±Π΅Π· Π³Π»ΡΠΊΠΎΠ·Π΅ Ρ ΠΏΡΠΈΡΡΡΡΠ²Ρ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π΅ ΠΊΠΎΠ»ΠΈΡΠΈΠ½Π΅ Π°Π»ΡΠ΅ΡΠ½Π°ΡΠΈΠ²Π½ΠΈΡ
Π½ΡΡΡΠΈΡΠ΅Π½Π°ΡΠ°).
Π‘ΠΌΠ°ΡΠ΅Π½Π° ΠΎΡΠ΅ΡΡΠΈΠ²ΠΎΡΡ Π°ΡΡΡΠΎΡΠΈΡΠ° ΠΌΠΎΠΆΠ΅ Π±ΠΈΡΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΠΈΡΠ° ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ° Π°Π»ΡΠ΅ΡΠ½Π°ΡΠΈΠ²Π½ΠΈΡ
Π²Π°Π½ΡΠ΅Π»ΠΈΡΡΠΊΠΈΡ
ΠΈΠ·Π²ΠΎΡΠ° Π΅Π½Π΅ΡΠ³ΠΈΡΠ΅, ΠΊΠ°ΠΎ ΠΈ ΡΠ½ΡΡΠ°ΡΡΠ΅Π»ΠΈΡΡΠΊΠΈΡ
Π·Π°Π»ΠΈΡ
Π° Π΅Π½Π΅ΡΠ³ΠΈΡΠ΅ Ρ ΡΠΈΡΡ ΠΎΠ΄ΡΠΆΠ°ΡΠ°
ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ΡΠΊΠΎΠ³ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π° ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ°. Π‘ΡΡΠ°ΡΠ΅Π³ΠΈΡΠ° ΠΏΡΠ΅ΠΆΠΈΠ²ΡΠ°Π²Π°ΡΠ° Π°ΡΡΡΠΎΡΠΈΡΠ° ΡΠΎΠΊΠΎΠΌ
ΡΠ°ΠΊΠ²ΠΈΡ
ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΡΠΊΠΈΡ
ΠΈΠ·Π°Π·ΠΎΠ²Π° ΠΈ Π΄Π°ΡΠ΅ Π½ΠΈΡΠ΅ ΡΠ°ΡΠ½Π°.
ΠΠ΅ΡΠΎΠ΄Π΅. Π£ ΠΎΠ²ΠΎΡ ΡΡΡΠ΄ΠΈΡΠΈ, ΠΊΡΠ»ΡΡΡΠ° Π°ΡΡΡΠΎΡΠΈΡΠ° ΠΈΠ·Π»ΠΎΠΆΠ΅Π½Π° ΡΠ΅ Π΄Π΅ΠΏΡΠΈΠ²Π°ΡΠΈΡΠΈ Π³Π»ΡΠΊΠΎΠ·Π΅ (GD),
OGD ΠΈ ΡΠΈΡ
ΠΎΠ²ΠΎΡ ΡΡΠΊΡΠ΅ΡΠΈΠ²Π½ΠΎΡ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΡΠΈ ΡΠ°Π·Π»ΠΈΡΠΈΡΠΈΡ
ΡΡΠ°ΡΠ°ΡΠ°. ΠΡΠΎΠΌΠ΅Π½Π΅ Οm, ΠΏΡΠ°ΡΠ΅Π½Π΅
ΠΏΡΡΠ΅ΠΌ ΠΏΡΠΎΠΌΠ΅Π½Π° Ρ ΡΠ»ΡΠΎΡΠ΅ΡΡΠ΅Π½ΡΠΈΡΠΈ JC-1, ΠΈΡΠΏΠΈΡΠ°Π½Π΅ ΡΡ Ρ ΡΠΎΠΊΡ ΡΠ΅Π΄Π½ΠΎΠ³ ΡΠ°ΡΠ° ΡΠΎΠΊΠΎΠΌ
ΡΠΈΠΌΡΠ»ΠΈΡΠ°Π½Π΅ ΡΠ΅ΠΏΠ΅ΡΡΡΠ·ΠΈΡΠ΅ Ρ ΡΠΈΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΎΠ²Π°ΡΠ° ΡΡΠ»ΠΎΠ²Π° in vivo. Π€Π»ΡΠΎΡΠ΅ΡΡΠ΅Π½ΡΠ½ΠΈ ΠΎΠ±Π΅Π»Π΅ΠΆΠΈΠ²Π°Ρ
ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ° JC-1 ΡΠ»Π°Π·ΠΈ Ρ ΠΌΠ°ΡΡΠΈΠΊΡ ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ΅ Ρ Π·Π°Π²ΠΈΡΠ½ΠΎΡΡΠΈ ΠΎΠ΄ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π°
ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π΅ ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ΅, ΠΏΠΎΠΌΠ΅ΡΠ°ΡΡΡΠΈ ΠΏΡΠΈ ΡΠΎΠΌΠ΅ ΠΌΠ°ΠΊΡΠΈΠΌΡΠΌ ΡΠ»ΡΠΎΡΠ΅ΡΡΠ΅Π½ΡΠΈΡΠ΅ ΠΈΠ· Π·Π΅Π»Π΅Π½ΠΎΠ³ Ρ
ΡΡΠ²Π΅Π½ΠΈ Π΄Π΅ΠΎ ΡΠΏΠ΅ΠΊΡΡΠ°. Π’Π°ΠΊΠΎΡΠ΅, Π΅ΡΠ΅ΠΊΡΠΈ ΡΠ°ΡΠΌΠ°ΠΊΠΎΠ»ΠΎΡΠΊΠ΅ ΠΈΠ½Ρ
ΠΈΠ±ΠΈΡΠΈΡΠ΅ Π΄Π²Π° Π±ΠΈΡΠ½Π°
ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΡΠΊΠ° ΠΏΡΡΠ°: Π°ΡΡΠΎΡΠ°Π³ΠΈΡΠ΅ Ρ
Π»ΠΎΡΠΎΠΊΠΈΠ½ΠΎΠΌ (CQ) ΠΈ Π»ΠΈΠΏΠΎΠ»ΠΈΠ·Π΅ ΠΎΡΠ»ΠΈΡΡΠ°ΡΠΎΠΌ, ΠΈΡΠΏΠΈΡΠ°Π½ΠΈ ΡΡ
ΡΠΎΠΊΠΎΠΌ Π΄Π΅ΠΏΡΠΈΠ²Π°ΡΠΈΡΠ΅ Π½ΡΡΡΠΈΡΠ΅Π½Π°ΡΠ°. ΠΡΠ°ΡΠ΅Π½ ΡΠ΅ ΡΡΠΈΡΠ°Ρ ΠΏΠΎΠΌΠ΅Π½ΡΡΠΈΡ
ΠΈΠ½Ρ
ΠΈΠ±ΠΈΡΠΈΡΠ° Π½Π° ΠΏΡΠΎΠΌΠ΅Π½Π΅
Π²ΠΈΡΠ°Π±ΠΈΠ»Π½ΠΎΡΡΠΈ Π°ΡΡΡΠΎΡΠΈΡΠ° Π±ΠΎΡΠ΅ΡΠΈΠΌΠ° ΡΠ° Π°ΠΊΡΠΈΠ΄ΠΈΠ½ Π½Π°ΡΠ°Π½ΡΠ°ΡΡΠΈΠΌ (AO) ΠΈ ΠΏΡΠΎΠΏΠΈΠ΄ΠΈΡΡΠΌ
ΡΠΎΠ΄ΠΈΠ΄ΠΎΠΌ (PI), ΠΊΠ°ΠΎ ΠΈ ΠΏΡΠΎΠΌΠ΅Π½Π΅ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ΡΠΊΠΎΠ³ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π° ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ° (JC-1).
Π Π΅Π·ΡΠ»ΡΠ°ΡΠΈ. ΠΠΎΠΊΠ°Π·Π°Π»ΠΈ ΡΠΌΠΎ Π΄Π° ΡΡ Π°ΡΡΡΠΎΡΠΈΡΠΈ ΠΎΡΠΏΠΎΡΠ½ΠΈ Π½Π° Π΄ΡΠΆΠ΅ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ OGD (Ρ ΡΡΠ°ΡΠ°ΡΡ
ΠΎΠ΄ 6 ΠΈ 8 ΡΠ°ΡΠΎΠ²Π°) ΠΊΠΎΡΠ° ΡΠ΅ ΠΈΠΌΠ°Π»Π° ΡΠ»Π°Π± ΡΡΠΈΡΠ°Ρ Π½Π° Οm ΡΠΎΠΊΠΎΠΌ ΡΠΈΠΌΡΠ»ΠΈΡΠ°Π½Π΅ ΡΠ΅ΠΏΠ΅ΡΡΡΠ·ΠΈΡΠ΅, Π΄ΠΎΠΊ ΡΠ΅
GD Π΄ΠΎΠ²Π΅Π»Π° Π΄ΠΎ Ρ
ΠΈΠΏΠ΅ΡΠΏΠΎΠ»Π°ΡΠΈΠ·Π°ΡΠΈΡΠ΅ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ΡΠΊΠΎΠ³ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π° ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΡΠ° Π°ΡΡΡΠΎΡΠΈΡΠ°...Introduction. Astrocytes are known to tolerate long periods of oxygen-glucose deprivation
(OGD) and they survive nutrient deprivation (ND) for days as compared to rather vulnerable
neurons. The reasons for this reduced vulnerability of astrocytes are not well understood. In
fact, changes in mitochondrial membrane potential (Οm), as the indicator of the cellular energy
metabolism and viability, have not been investigated during simulated reperfusion after
extended OGD exposure (i.e. 1 % of Π2 without glucose in the presence of limited
alternative nutrients). This reduced vulnerability could be due to utilization of the alternative
extracellular sources of energy, as well as utilization of the internal energy stores, in
maintenance of mitochondrial membrane potential. The pro-survival strategy of astrocytes
under such metabolic challenge is still not clear.
Methods. Here, we subjected astrocytes in culture to glucose deprivation (GD), OGD and
combinations of both conditions varying in duration and sequence. Changes in Οm, visualized
by the change in the fluorescence of JC-1, were investigated within one hour after
reconstitution of oxygen and glucose supply, intended to model in vivo reperfusion.
Fluorescent probe JC-1 enters the mitochondrial matrix in a potential-dependent manner,
thus shifting its emission from green to red. Furthermore, the effects of inhibition of two
potential steps in energy acquisition during ND: autophagy using chloroqione (CQ) and
lipolysis using orlistat were investigated. Changes in astrocytes viability were followed with
acridine orange (AO) and propidium iodide (PI) staining, and Οm was followed with JC-1.
Results. We showed that astrocytes were resilient to extended periods of OGD (6 and 8 h),
which had little effect on Οm during reperfusion, whereas GD contributed to a more negative
Οm. Subsequent chemical oxygen deprivation induced by sodium azide caused depolarization,
which, however, was significantly delayed as compared to the normoxic group. When GD
preceded OGD for 12 h, mitochondrial membrane hyperpolarization was induced by both
GD and subsequent OGD, but significant interaction between these conditions was not
detected..
Structural and Functional Modulation of Perineuronal Nets: In Search of Important Players with Highlight on Tenascins
The extracellular matrix (ECM) of the brain plays a crucial role in providing optimal conditions for neuronal function. Interactions between neurons and a specialized form of ECM, perineuronal nets (PNN), are considered a key mechanism for the regulation of brain plasticity. Such an assembly of interconnected structural and regulatory molecules has a prominent role in the control of synaptic plasticity. In this review, we discuss novel ways of studying the interplay between PNN and its regulatory components, particularly tenascins, in the processes of synaptic plasticity, mechanotransduction, and neurogenesis. Since enhanced neuronal activity promotes PNN degradation, it is possible to study PNN remodeling as a dynamical change in the expression and organization of its constituents that is reflected in its ultrastructure. The discovery of these subtle modifications is enabled by the development of super-resolution microscopy and advanced methods of image analysis
Astrocytic mitochondrial membrane hyperpolarization following extended oxygen and glucose deprivation
Astrocytes can tolerate longer periods of oxygen and glucose deprivation (OGD) as compared to neurons. The reasons for this reduced vulnerability are not well understood. Particularly, changes in mitochondrial membrane potential (ΞΟm) in astrocytes, an indicator of the cellular redox state, have not been investigated during reperfusion after extended OGD exposure. Here, we subjected primary mouse astrocytes to glucose deprivation (GD), OGD and combinations of both conditions varying in duration and sequence. Changes in ΞΟm, visualized by change in the fluorescence of JC-1, were investigated within one hour after reconstitution of oxygen and glucose supply, intended to model in vivo reperfusion. In all experiments, astrocytes showed resilience to extended periods of OGD, which had little effect on ΞΟm during reperfusion, whereas GD caused a robust ΞΟm negativation. In case no ΞΟm negativation was observed after OGD, subsequent chemical oxygen deprivation (OD) induced by sodium azide caused depolarization, which, however, was significantly delayed as compared to normoxic group. When GD preceded OD for 12 h, ΞΟm hyperpolarization was induced by both GD and subsequent OD, but significant interaction between these conditions was not detected. However, when GD was extended to 48 h preceding OGD, hyperpolarization enhanced during reperfusion. This implicates synergistic effects of both conditions in that sequence. These findings provide novel information regarding the role of the two main substrates of electron transport chain (glucose and oxygen) and their hyperpolarizing effect on ΞΟm during substrate deprivation, thus shedding new light on mechanisms of astrocyte resilience to prolonged ischemic injury
Schematic representation of the experimental design and most important results.
<p>Figure illustrates crucial steps in investigation of ΞΟ<sub>m</sub> changes during simulated reperfusion within one hour after extended exposure of astrocytes to GD or OGD. The culturing media are designated as: high glucose (hG), low glucose (lG) or no glucose (nG). During the experiments cells were cultured either in normoxic (normO<sub>2</sub>) or hypoxic (hypoO<sub>2</sub>) conditions. Ellipsoid shapes show conditions the cells were subjected to. Text on connector lines shows whether we found significant effect of given experimental condition(s). Octagons indicate conclusions we made.</p
OGD in lG partly preserves ΞΟ<sub>m</sub> (i.e. delays depolarization) caused by subsequent NaN<sub>3</sub> treatment.
<p>(<b>A</b>) Sodium azide (NaN<sub>3</sub>) causes concentration-dependent decline of ΞΟ<sub>m</sub> in both experimental conditions. However, OGD in lG medium significantly delayed the decrease in JC-1 fluorescence ratio caused by treatment with 5 mM NaN<sub>3</sub> during simulated reperfusion. (<b>B</b>) Expectedly, both NaN<sub>3</sub> and H<sub>2</sub>O<sub>2</sub> show concentration-dependent effect by lowering the JC-1 red/green fluorescence ratio. Astrocytes were stained with JC-1 either before or during the treatment with NaN<sub>3</sub> (marked as pre-dye loading and dye loading under ETC inhibition, respectively). NaN<sub>3</sub> has not affected the cell membrane organization allowing at the same time JC-1 to enter the cytoplasm and mitochondria within. (<b>C</b>) Representative fluorescent micrographs of astrocytes labeled with JC-1 Original micrographs were converted to tritanope color palette (ImageJ 1.48a). Depolarization is visible in the normoxic group (b, c) (seen as concentration-dependent decrease in magenta and increase in blue color), but it is more pronounced than in OGD group after treatment with NaN<sub>3</sub> (e, f). Some mitochondria remained partly depolarized. Data are expressed as a percentage normalized to the red/green fluorescence ratio values of untreated control (the first bar from left). Significant differences are indicated by **p<0.01 with respect to untreated control, ##p<0.01 between treatment and its respective control, ΞΞp<0.01 between different inhibitor concentrations.</p
Glucose deprivation leads to hyperpolarization of ΞΟ<sub>m</sub> after both normoxic and OGD conditions.
<p>(<b>A</b>) Glucose deprivation for 8 h increases the ratio of JC-1 fluorescence. This effect was not detected when combining GD and OD, but level of significance was noticable low (pβ=β0.059). (<b>B</b>) Preconditioning for 12 h with media containing reduced or no glucose promotes hyperpolarization after OGD during simulated reperfusion. After preconditioning, astrocytes were subjected to hypoxic conditions for additional 6 h (grey bars) or they were maintained in normoxic conditions (white bars). (<b>C</b>) Lowering glucose in the incubation medium leads to an increased ratio of JC-1 fluorescence during simulated reperfusion after normoxic and OGD conditions. There was significant interaction between effect of glucose in the culturing media and the effect of OGD. Astrocytes were incubated for two days either in hG or lG medium. Subsequently, OGD was conducted for 6 h (grey bars). (<b>D</b>) Schematic representation of the experimental design of C. The duration of each step is shown in brackets. (<b>E</b>) Representative red signal from fluorescent micrographs of astrocytes labeled with JC-1. Original micrographs were converted to rainbow pseudocolor pallete using LUTs (ImageJ 1.48a). Increase in red fluorescence is observed when astrocytes are incubated in OGD in nG medium as compared to normoxic conditions in lG medium (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0090697#pone-0090697-g002" target="_blank">Fig. 2B</a>). The scale bar represents 100 Β΅m. Data are expressed as a percentage normalized to the JC-1 red/green fluorescence ratio values of untreated control astrocytes (first bar on the left). Significant differences are indicated by **p<0.01 with respect to control (normoxia in hG for Fig. 3A and 3C, normoxia in lG for Fig. 3B), ##p<0.01 between normoxia and OGD (in lG or nG), ΞΞp<0.01 between two OGD treatments.</p