57 research outputs found
Derivation of the Gutenberg-Richter Empirical Formula from the Solution of the Generalized Logistic Equation
We have written a new equation to study the statistics of earthquake
distributions. We call this equation "the generalized logistic equation". The
Gutenberg-Richter frequency-magnitude formula was derived from the solution of
the generalized logistic equation as an asymptotic case in approximation of
large magnitudes. To illustrate how the found solution of the generalized
logistic equation works, it was used to approximate the observed cumulative
distribution of earthquakes in four different geological provinces: the Central
Atlantic (40N-25N, 5W-35W), Canary Islands, Magellan Mountains (20N-9S,
148E-170E), and the Sea of Japan. This approximation showed the excellent fit
between the theoretical curves and observed data for earthquake magnitudes
1<m<9.Comment: 10 pages, 2 figures, 1 table, 8 references. Submitted to Natural
Science, Earthquakes special issu
Π ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΠΎΡΠ½ΠΎΠ²Π°Ρ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ: ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ΅ΡΠ½ΡΡ Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠΎΠ² ΠΈ ΠΏΡΠΈΠ±ΡΠ΅ΠΆΠ½ΡΡ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π²ΠΎΠ·Π΄ΡΡΠ½ΡΡ ΡΠΎΠ±ΠΎΡΠΎΡΠ΅Ρ Π½ΠΈΡΠ΅ΡΠΊΠΈΡ ΡΡΠ΅Π΄ΡΡΠ²
ΠΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±Π°Π·ΠΈΡΠ° Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΡΠ°Π·Π½ΡΡ
Π½Π°ΡΠΊ ΠΏΡΠΈ ΠΌΠ΅ΠΆΠ΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π°ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
ΡΠ²Π»ΡΠ΅ΡΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΡΠ΅ΡΡΠΎΠΉ Π½ΠΎΠ²ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
Π·Π°Π΄Π°Ρ. Π€ΠΎΡΠΌΠΈΡΡΠ΅ΠΌΡΠ΅ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Ρ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΊΠ°ΠΊ Π½ΠΎΠ²ΠΎΠ³ΠΎ Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ, ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ Ρ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ Π²ΠΊΠ»Π°Π΄Π° Π² Π½Π΅Π΅ ΡΡΠ΅Ρ
ΠΊΠ»ΡΡΠ΅Π²ΡΡ
Π½Π°ΡΠΊ: Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΊΠΈ ΠΈ ΡΠΎΠ±ΠΎΡΠΎΡΠ΅Ρ
Π½ΠΈΠΊΠΈ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈ ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, Π²ΠΎΠ·Π΄ΡΡΠ½ΡΡ
ΡΠΎΠ±ΠΎΡΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ΅Π΄ΡΡΠ², ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ Π² ΠΎΠ±Π»Π°ΡΡΠΈ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ. ΠΠ°Π΄Π°ΡΠ° Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠΎΡΠΌΡΠ»ΠΈΡΡΠ΅ΡΡΡ ΠΊΠ°ΠΊ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΈ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠΉ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² Π΄ΠΈΡΡΠ°Π½ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠ΅Π½ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ, ΡΠΎΠ±ΠΎΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ±ΠΎΠΎΡΠ±ΠΎΡΠ° ΠΈ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΊΠΎΡΠΈΡΡΠ΅ΠΌ ΠΏΡΠ΅ΡΠ½ΡΡ
Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠΎΠ² Π΄Π»Ρ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΈ ΠΏΡΠ΅Π΄ΡΠΊΠ°Π·Π°Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈΡ
ΡΠ°Π·Π²ΠΈΡΠΈΡ. Π‘ΡΠ΅Π΄ΠΈ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π²ΡΠ΄Π΅Π»Π΅Π½Ρ: ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΎΡΡΠΎΡΠΎΡΠΎΠΏΠ»Π°Π½ΠΎΠ² ΠΈ ΡΠΎΡΠΎΠ³ΡΠ°ΠΌΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠ΅Π»ΡΠ΅ΡΠ° Π΄Π½Π° ΠΈ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² Π΄ΠΎΠ½Π½ΠΎΠ³ΠΎ Π»Π°Π½Π΄ΡΠ°ΡΡΠ° ΠΈ ΠΏΡΠΈΠ±ΡΠ΅ΠΆΠ½ΠΎΠΉ Π·ΠΎΠ½Ρ ΡΠ°Π·Π½ΠΎΠ³ΠΎ ΠΌΠ°ΡΡΡΠ°Π±Π°; Π³Π΅ΠΎΠ»ΠΎΠ³ΠΎ-Π³Π΅ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΊΠ°ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ΄Π²ΠΎΠ΄Π½ΠΎΠΉ ΡΠ°ΡΡΠΈ Π±Π΅ΡΠ΅Π³ΠΎΠ²ΠΎΠΉ Π·ΠΎΠ½Ρ; ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΈΡΠΎΠΏΠ»Π°Π½ΠΊΡΠΎΠ½Π°, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ Β«ΡΠ²Π΅ΡΠ΅Π½ΠΈΡΒ» Π²ΠΎΠ΄Ρ, Π²ΡΠ·Π²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠΈΠ°Π½ΠΎΠ±Π°ΠΊΡΠ΅ΡΠΈΡΠΌΠΈ; ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΈ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΉ ΠΊΡΡΠΏΠ½ΡΡ
ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»Π΅ΠΉ Π³ΠΈΠ΄ΡΠΎΡΠ°ΡΠ½Ρ; ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΡΡ
ΠΏΠΎΠ»Π΅ΠΉ ΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΏΠ΅ΡΠ΅ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π²ΠΎΠ΄Π½ΡΡ
ΠΌΠ°ΡΡ. ΠΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ, Π½Π°ΠΊΠ»Π°Π΄ΡΠ²Π°Π΅ΠΌΡΠ΅ Π½Π° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
Π»Π΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² (ΠΠΏΠΠ) ΠΏΡΠΈ ΠΏΡΠΎΠ±ΠΎΠΎΡΠ±ΠΎΡΠ΅ ΠΈ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π΅ ΠΏΡΠΈΠ±ΡΠ΅ΠΆΠ½ΡΡ
Π²ΠΎΠ΄Π½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ, ΠΏΡΠ΅ΠΆΠ΄Π΅ Π²ΡΠ΅Π³ΠΎ ΠΏΠΎΠ³ΠΎΠ΄Π½ΠΎ-ΠΊΠ»ΠΈΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅, Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅, ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΠ΅, ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅. ΠΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
Π»Π΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² Π² Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π΅ΡΡΡ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΡ ΠΏΠΎΠ΄Π»Π΅ΡΠ° ΠΊ ΡΡΡΠ΄Π½ΠΎΠ΄ΠΎΡΡΡΠΏΠ½ΡΠΌ ΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ ΡΠ΄Π°Π»Π΅Π½Π½ΡΠΌ ΠΎΠ±ΡΠ΅ΠΊΡΠ°ΠΌ, ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ°. ΠΠ°ΡΡΠ½Π°Ρ Π½ΠΎΠ²ΠΈΠ·Π½Π° ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠΎΠΈΡ Π² ΠΏΠΎΠΏΡΡΠΊΠ΅ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΠΌΠ΅ΠΆΠ΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π°ΡΠ½ΡΡ
Π·Π½Π°Π½ΠΈΠΉ ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
Π»Π΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² ΠΈ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ° ΠΏΡΠΈ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ². ΠΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Π²Π°ΠΆΠ½Π°Ρ ΡΠΎΠ»Ρ Π³Π΅ΠΎΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΈ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΊΠ°ΡΡ ΡΠΈΠΏΠΈΠ·Π°ΡΠΈΠΈ Π±Π΅ΡΠ΅Π³ΠΎΠ² ΠΈ Π³Π΅ΠΎΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΠ°Π΄ΠΎΠΆΡΠΊΠΎΠ³ΠΎ ΠΎΠ·Π΅ΡΠ°, ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½Π½ΡΠ΅ Π½Π° ΡΠ°ΠΉΡΠ΅ Π¦Π΅Π½ΡΡΠ° ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΡΡΠ½ΡΠΌ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Β«Π‘Π΅Π²Π΅ΡΠΎ-ΠΠ°ΠΏΠ°Π΄Π½ΡΠΉ ΡΠ΅Π½ΡΡ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉΒ» Π‘ΠΠ Π€ΠΠ¦ Π ΠΠ. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΡΠ°ΠΏΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΌΠ΅ΠΆΠ΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π°ΡΠ½ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΊΠΈ ΠΈ ΡΠΎΠ±ΠΎΡΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ΅Π΄ΡΡΠ², ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΡΡΡΠΈΡ
Π² ΡΠ°Π·Π½ΡΡ
ΡΡΠ΅Π΄Π°Ρ
?ccr5 Genotype Is Associated with Mild Form of Nephropathia Epidemica
Nephropathia Epidemica (NE), a mild form of hemorrhagic fever with renal syndrome (HFRS) and linked to hantavirus infection, is endemic in the Republic of Tatarstan. Several genetic markers of HFRS severity have been identified previously, including human leukocyte antigen (HLA) complexes and nucleotide polymorphism in the tumor necrosis factor alpha (TNFΞ±) gene. Still, our understanding of the genetic markers of NE severity remains incomplete. The frequency of the CβC chemokine receptor type 5 (CCR5) gene wild type and gene with 32-base-pair deletion (Ξ32CCR5) genotypes in 98 NE samples and 592 controls was analyzed using PCR. Along with the serum levels of 94 analytes, a lack of differences in the CCR5 genotype distribution between NE cases and the general population suggests that the CCR5 genotype does not affect susceptibility to hantavirus infection. However, in NE cases, significant variation in the serum levels of the host matrix metalloproteases between functional CCR5 homozygous and Ξ32CCR5 heterozygous patients was detected. Also, the oliguric phase was longer, while thrombocyte counts were lower in functional CCR5 homozygous as compared to heterozygous NE cases. Our data, for the first time, presents the potential role of the CCR5 receptor genotype in NE pathogenesis. Our data suggests that NE pathogenesis in functional CCR5 homozygous and heterozygous NE patients differs, where homozygous cases may have more disintegration of the extracellular matrix and potentially more severe disease
High Triglycerides Are Associated with Low Thrombocyte Counts and High VEGF in Nephropathia Epidemica
Nephropathia epidemica (NE) is a mild form of hemorrhagic fever with renal syndrome. Several reports have demonstrated a severe alteration in lipoprotein metabolism. However, little is known about changes in circulating lipids in NE. The objectives of this study were to evaluate changes in serum total cholesterol, high density cholesterol (HDCL), and triglycerides. In addition to evaluation of serum cytokine activation associations, changes in lipid profile and cytokine activation were determined for gender, thrombocyte counts, and VEGF. Elevated levels of triglycerides and decreased HDCL were observed in NE, while total cholesterol did not differ from controls. High triglycerides were associated with both the lowest thrombocyte counts and high serum VEGF, as well as a high severity score. Additionally, there were higher levels of triglycerides in male than female NE patients. Low triglycerides were associated with upregulation of IFN-Ξ³ and IL-12, suggesting activation of Th1 helper cells. Furthermore, levels of IFN-Ξ³ and IL-12 were increased in patients with lower severity scores, suggesting that a Th1 type immune response is playing protective role in NE. These combined data advance the understanding of NE pathogenesis and indicate a role for high triglycerides in disease severity
The mRubyFT Protein, Genetically Encoded Blue-to-Red Fluorescent Timer.
peer reviewedGenetically encoded monomeric blue-to-red fluorescent timers (mFTs) change their fluorescent color over time. mCherry-derived mFTs were used for the tracking of the protein age, visualization of the protein trafficking, and labeling of engram cells. However, the brightness of the blue and red forms of mFTs are 2-3- and 5-7-fold dimmer compared to the brightness of the enhanced green fluorescent protein (EGFP). To address this limitation, we developed a blue-to-red fluorescent timer, named mRubyFT, derived from the bright mRuby2 red fluorescent protein. The blue form of mRubyFT reached its maximum at 5.7 h and completely transformed into the red form that had a maturation half-time of 15 h. Blue and red forms of purified mRubyFT were 4.1-fold brighter and 1.3-fold dimmer than the respective forms of the mCherry-derived Fast-FT timer in vitro. When expressed in mammalian cells, both forms of mRubyFT were 1.3-fold brighter than the respective forms of Fast-FT. The violet light-induced blue-to-red photoconversion was 4.2-fold less efficient in the case of mRubyFT timer compared to the same photoconversion of the Fast-FT timer. The timer behavior of mRubyFT was confirmed in mammalian cells. The monomeric properties of mRubyFT allowed the labeling and confocal imaging of cytoskeleton proteins in live mammalian cells. The X-ray structure of the red form of mRubyFT at 1.5 Γ
resolution was obtained and analyzed. The role of the residues from the chromophore surrounding was studied using site-directed mutagenesis
Enhancing digital twin performance through simulation of computerized numerical control firmware
Ribosomal DNA clusters and telomeric (TTAGG)n repeats in blue butterflies (Lepidoptera, Lycaenidae) with low and high chromosome numbers
Volume: 9Start Page: 161End Page: 17
AN INTERACTIVE METHOD OF ANATOMICAL SEGMENTATION AND GENE EXPRESSION ESTIMATION FOR AN EXPERIMENTAL MOUSE BRAIN SLICE
Abstract. We consider the problem of statistical analysis of gene expression in a mouse brain during cognitive processes. In particular we focus on the problems of anatomical segmentation of a histological brain slice and estimation of slice's gene expression level. The first problem is solved by interactive registration of an experimental brain slice into 3D brain model constructed using Allen Brain Atlas. The second problem is solved by special image filtering and further smart resolution reduction. We also describe the procedure of non-linear correction of atlas slices which improves the quality of the 3D-model significantly. 1 Introduction The analysis of gene expression in a brain is extremely important for cognitive research. Many cognitive functions (e.g. memory consolidation) are regulated by specific genes whose expression starts during some intellectual activity, e.g. training. On the other hand it is known that changes in activity in specific anatomical brain zones reflect the cognitive processes. The combination of anatomical brain map with gene expression patterns and its further statistical processing would allow researchers to discover new genes that are responsible for cognitive processes and new anatomical structures where the functional activity takes place. Up to the current moment gene expression in animal brains is measured using the following technique. A brain is extracted, frozen and then cut into slices. Each slice is double-stained by Nissl method to highlight histology (se
Karyotype stability in the family Issidae (Hemiptera, Auchenorrhyncha) revealed by chromosome techniques and FISH with telomeric (TTAGG)n and 18S rDNA probes
Volume: 10Start Page: 347End Page: 36
- β¦