21 research outputs found
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ Π³Π°Π±Π°ΠΏΠ΅Π½ΡΠΈΠ½Π° ΠΈ ΡΡΠ°Π½ΠΎΠ»Π° Π½Π° ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΡΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π½Π΅ΠΉΡΠΎΠ½ΠΎΠ² ΠΊΠΎΡΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΠΊΡΡΡ Wistar
Resume. Background. Today the search for drugs for alcoholism treatment is concentrated around substances with anticonvulsant action, which not only stop convulsive syndrome, but also contribute to the extension of the remission period during alcohol withdrawal. Despite the successful experience in the alcoholism treatment with structural analog GABA gabapentin, there is no convincing evidence of gabapentin interaction with GABA-ergic system in the brain, moreover, most results were obtained in vitro. The aim of the present work was to study mechanism of gabapentin action on CNS and its interaction with ethanol using electrophysiological methods in vivo. Methods. The effect of gabapentin on electrical activity of neurons in the frontal cortex of rats was studied with the microelectrode technique in adult male Wistar rats. Results. Gabapentin after systemic administration, 25-100 mg/kg, i.p., dose-dependent reduced the frequency of action potentials (AP) of neurons, without changing amplitude and shape of AP of neurons. When assessing changes in the frequency of extracellular exhaust AP at microiontophoretically summing gabapentin it is established that the drug reduced the frequency of ΠP in 15 of 23 neurons (p < 0.05), and increased GABA-induced inhibition of pulsed electrical activity of neurons in the frontal cortex. Gabapentin didnβt affect the magnitude of exiting responses on ethanol supplied to neurons, however, increased (p < 0.05) inhibitory responses caused by ethanol in all 45 of the cells studied. Conclusion. The obtained data suggest that gabapentin has an allosteric effect on postsynaptic GABA receptors and increases ethanol-induced inhibition of neurons of the frontal cortex.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. ΠΠΎΠΈΡΠΊ ΡΡΠ΅Π΄ΡΡΠ² Π΄Π»Ρ Π»Π΅ΡΠ΅Π½ΠΈΡ Π°Π»ΠΊΠΎΠ³ΠΎΠ»ΠΈΠ·ΠΌΠ° ΡΠ΅Π³ΠΎΠ΄Π½Ρ ΡΠΎΡΡΠ΅Π΄ΠΎΡΠΎΡΠ΅Π½ Π²ΠΎΠΊΡΡΠ³ Π²Π΅ΡΠ΅ΡΡΠ² Ρ ΠΏΡΠΎΡΠΈΠ²ΠΎΡΡΠ΄ΠΎΡΠΎΠΆΠ½ΡΠΌ Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ΠΌ, ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΊΡΠΏΠΈΡΡΡΡ ΡΡΠ΄ΠΎΡΠΎΠΆΠ½ΡΠΉ ΡΠΈΠ½Π΄ΡΠΎΠΌ, Π½ΠΎ ΡΠ°ΠΊΠΆΠ΅ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΡΡ ΠΏΡΠΎΠ΄Π»Π΅Π½ΠΈΡ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° ΡΠ΅ΠΌΠΈΡΡΠΈΠΈ ΠΏΡΠΈ ΠΎΡΠΌΠ΅Π½Π΅ Π°Π»ΠΊΠΎΠ³ΠΎΠ»Ρ. ΠΠ΅ΡΠΌΠΎΡΡΡ Π½Π° ΡΡΠΏΠ΅ΡΠ½ΡΠΉ ΠΎΠΏΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΏΡΠΈ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Π°Π»ΠΊΠΎΠ³ΠΎΠ»ΠΈΠ·ΠΌΠ° ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΎΠ³Π° ΡΠΎΡΠΌΠΎΠ·Π½ΠΎΠ³ΠΎ ΠΌΠ΅Π΄ΠΈΠ°ΡΠΎΡΠ° ΠΠΠΠ Π³Π°Π±Π°ΠΏΠ΅Π½ΡΠΈΠ½Π°, ΠΎΡΡΡΡΡΡΠ²ΡΡΡ ΡΠ±Π΅Π΄ΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ Π΄ΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΡΡΠ²Π° Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Ρ ΠΠΠΠ-Π΅ΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠΎΠΉ ΠΌΠΎΠ·Π³Π°, ΠΈ Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²ΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π² ΠΎΠΏΡΡΠ°Ρ
in vitro. Π¦Π΅Π»Ρ. ΠΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ° ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π³Π°Π±Π°ΠΏΠ΅Π½ΡΠΈΠ½Π° ΠΈ Π΅Π³ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Ρ ΡΡΠ°Π½ΠΎΠ»ΠΎΠΌ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠ»Π΅ΠΊΡΡΠΎΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π² ΠΎΠΏΡΡΠ°Ρ
in vivo. ΠΠ΅ΡΠΎΠ΄Ρ. Π‘ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠΈΠΊΡΠΎΡΠ»Π΅ΠΊΡΡΠΎΠ΄Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΈΠΊΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π³Π°Π±Π°ΠΏΠ΅Π½ΡΠΈΠ½Π° Π½Π° ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΡΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π½Π΅ΠΉΡΠΎΠ½ΠΎΠ² ΡΡΠΎΠ½ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΊΠΎΡΡ ΠΌΠΎΠ·Π³Π° ΠΊΡΡΡ-ΡΠ°ΠΌΡΠΎΠ² Π»ΠΈΠ½ΠΈΠΈ Wistar. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ°Π±Π°ΠΏΠ΅Π½ΡΠΈΠ½ ΠΏΡΠΈ ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΠΌ Π²Π²Π΅Π΄Π΅Π½ΠΈΠΈ Π² Π΄ΠΎΠ·Π°Ρ
25-100 ΠΌΠ³/ΠΊΠ³, Π²/Π±, Π΄ΠΎΠ·ΠΎΠ·Π°Π²ΠΈΡΠΈΠΌΠΎ ΡΠΌΠ΅Π½ΡΡΠ°Π» ΡΠ°ΡΡΠΎΡΡ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΠΎΠ² Π΄Π΅ΠΉΡΡΠ²ΠΈΡ (ΠΠ) Π½Π΅ΠΉΡΠΎΠ½ΠΎΠ², Π½Π΅ ΠΈΠ·ΠΌΠ΅Π½ΡΡ Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Ρ ΠΈ ΡΠΎΡΠΌΡ ΠΠ Π½Π΅ΠΉΡΠΎΠ½ΠΎΠ². ΠΡΠΈ ΠΌΠΈΠΊΡΠΎΠΈΠΎΠ½ΠΎΡΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΠΎΠ΄Π²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΏΡΠ΅ΠΏΠ°ΡΠ°Ρ ΡΠΌΠ΅Π½ΡΡΠ°Π» ΡΠ°ΡΡΠΎΡΡ ΠΠ Ρ 15 ΠΈΠ· 23 Π½Π΅ΠΉΡΠΎΠ½ΠΎΠ² (Ρ < 0,05), Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π» ΠΠΠΠ-ΠΈΠ½Π΄ΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΡΠΎΡΠΌΠΎΠΆΠ΅Π½ΠΈΠ΅ ΠΈΠΌΠΏΡΠ»ΡΡΠ½ΠΎΠΉ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π½Π΅ΠΉΡΠΎΠ½ΠΎΠ² ΡΡΠΎΠ½ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΊΠΎΡΡ. ΠΡΠΈ ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΡΠ»Π΅ΠΊΡΡΠΎΡΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΠΎΠ΄Π²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΊ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π΅ Π½Π΅ΠΉΡΠΎΠ½ΠΎΠ² Π³Π°Π±Π°ΠΏΠ΅Π½ΡΠΈΠ½Π° ΠΈ ΡΡΠ°Π½ΠΎΠ»Π° ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π½Π° Π²Π΅Π»ΠΈΡΠΈΠ½Ρ ΠΎΡΠ²Π΅ΡΠΎΠ² Π²ΠΎΠ·Π±ΡΠΆΠ΄Π°ΡΡΠ΅Π³ΠΎ ΡΠΈΠΏΠ° Π½Π° ΡΡΠ°Π½ΠΎΠ», ΠΎΠ΄Π½Π°ΠΊΠΎ ΠΎΡΠ²Π΅ΡΡ ΡΠΎΡΠΌΠΎΠ·ΡΡΠ΅Π³ΠΎ ΡΠΈΠΏΠ°, Π²ΡΠ·ΡΠ²Π°Π΅ΠΌΡΠ΅ ΡΡΠ°Π½ΠΎΠ»ΠΎΠΌ, ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π»ΠΈΡΡ (Ρ < 0,05) Ρ Π²ΡΠ΅Ρ
45 ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡΡ, ΡΡΠΎ Π³Π°Π±Π°ΠΏΠ΅Π½ΡΠΈΠ½ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π°Π»Π»ΠΎΡΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΠΏΠΎΡΡΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΠΠΠ-ΡΠ΅ΡΠ΅ΠΏΡΠΎΡΡ ΠΈ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅Ρ ΠΈΠ½Π΄ΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΡΡΠ°Π½ΠΎΠ»ΠΎΠΌ ΡΠΎΡΠΌΠΎΠΆΠ΅Π½ΠΈΠ΅ Π½Π΅ΠΉΡΠΎΠ½ΠΎΠ² ΡΡΠΎΠ½ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΊΠΎΡΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°
The effect of drugs which alter GABA-ergic function on cerebellar guanosine-3β², 5β²-monophosphate content
Translated from Zhurnal Vysshei Nervnoi Deyatel'nosti imeni I
There is a strongly held opinion that one of the most important functions of sleep is its involvement in the formation of memories The standard test for studies of learning and memory processes in animals is the Morris water test Effects of Sleep Deprivation on Consolidation of Spatial Memory in Rats after 1032 Translated from Zhurnal Vysshei Nervnoi Deyatel'nosti imeni I. P. Pavlova, Vol. 61, No. 3, pp. 322-331, May-June, 2011. Original article submitted December 24, 2009. Accepted October 18, 2010. The effects of sleep deprivation produced using a carousel method on the consolidation of spatial memory were studied in rats (male Wistar rats) after one-day training using the Frick et al. protocol (2000) in a Morris water maze. Data were obtained providing evidence that the memory trace after rapid 3-h training was retained for one day. Sleep deprivation for 24 h after training prevented reinforcement (consolidation) of spatial memory. The results led to the conclusion that a model based on one-day training can be used to study the neurophysiological and neurochemical mechanisms of the effects of sleep deprivation on consolidation of spatial memory
Integration of species and ecosystem monitoring for selecting priority areas for biodiversity conservation: Case studies from the Palearctic of Russia
At the start of the third millennium, new opportunities have arisen in biogeographical research, namely in the generalisation, visualisation and cross-spectrum analysis of biological and geographical information and in the compilation of biogeographical maps and innovative models for regions that differ in the availability of distribution data. These tasks include long-term monitoring of plants and animals which are in danger of extinction, geographical analysis of biodiversity distribution and development of effective wildlife conservation strategies for specific regions. The studies of the Department of Biogeography of Moscow University on geography and biodiversity conservation are based on long-term field expeditions. The examples of the Asian Subarctic Mountains, the steppes of Central Kazakhstan and the urbanised north-west of Russia are used to illustrate Russian approaches to the use of biogeographical monitoring for the identification of priority areas for biodiversity conservation. The species populations of the higher plants and vertebrates listed in the Red Books have been considered as the basic units of biodiversity