9 research outputs found
ΠΠ°Π½Π΄ΠΈΠ΄Π΅ΠΌΠΈΡ Ρ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ Π±ΠΎΠ»ΡΠ½ΡΡ : ΡΠ΅Π½ΠΎΡΠΈΠΏΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΊ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ³ΡΠΈΠ±ΠΊΠΎΠ²ΡΠΌ Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΠΌ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌ, Π³Π΅Π½Ρ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡΠΈ Candida spp.
Relevance. The global trend of rapid increase in resistance to antifungal drugs due to multiple factors, dictates the need for continuous monitoring of taxonomic structure and susceptibility of nosocomial pathogens, causing invasive fungal infections, for permanent correction of the optimal prevention and treatment strategies.Purpose: to determine antifungal susceptibility of the main yeast pathogens in candidemia in cancer patients, as well as to determine resistance genes and pathogenic factor genes.Material and Methods. Eighty-two strains of Candida spp. isolated from blood of cancer patients from 2015 to 2021 were analyzed. Minimum inhibitory concentrations of fuconazole, voriconazole, posaconazole, anidulafungin and micafungin were determined by a gradient method (E-test, BioMerieux, France). The EUCAST and CLSI criteria were used for MIC value assessment. The genes, associated with pathogenicity factors, and resistance to antifungal drugs were identifed.Results. Our study results based on EUCAST 2020, v.10.0 criteria showed that triazoles, especially fuconazole, were the least effective drugs in empirical therapy for invasive candidiasis (including candidemia). Resistance of Candida spp. fuconazole was superior to that of voriconazole (47.2 % vs 23.2 %, respectively, p<0.01) and posaconazole (47.2 % vs 30.4 %, respectively, p><0.05). The highest in vitro activity was observed in echinocandins, and anidulafungin was 2 times more active than micafungin (4.1 % of resistant strains vs 11.4 %, respectively), with no statistically signifcant difference (p>0.05). The ERG11 and FKS1 genes associated with resistance to antifungal drugs were detected in 28.6 % of Candida spp. strains. The ERG11 gene was detected in 8.6 % of cases, exclusively in Candida albicans strains. The FKS1 gene was identifed in 20.0 % of strains (85.7 % of them were C. parapsilosis, 7.1 % each were C. tropicalis and C. glabrata). Pathogenic factor genes were identifed in 78.6 % of C. albicans and in 79.1 % of C. parapsilosis strains.Conclusion. Molecular genetic methods for the detection of Candida spp strains carrying resistance genes to antifungal drugs, and the determination of pathogenicity factors are promising trends in searching for biomarkers. They facilitate interpretation of results of microbiological study to assess the ability of Candida spp. strains to develop invasive mycoses.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. ΠΠΈΡΠΎΠ²Π°Ρ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΡΡΡΠ΅ΠΌΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΡΡΠΎΠ²Π½Ρ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΊ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ³ΡΠΈΠ±ΠΊΠΎΠ²ΡΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌ, ΠΊΠΎΡΠΎΡΠ°Ρ ΡΠ²ΡΠ·Π°Π½Π° ΡΠΎ ΠΌΠ½ΠΎΠ³ΠΈΠΌΠΈ ΡΠ°ΠΊΡΠΎΡΠ°ΠΌΠΈ, Π΄ΠΈΠΊΡΡΠ΅Ρ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΡΠ°ΠΊΡΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ Π½ΠΎΠ·ΠΎΠΊΠΎΠΌΠΈΠ°Π»ΡΠ½ΡΡ
Π²ΠΎΠ·Π±ΡΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΡΡ
Π³ΡΠΈΠ±ΠΊΠΎΠ²ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ ΠΈ ΠΈΡ
ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΊ Π°Π½ΡΠΈΡΡΠ½Π³Π°Π»ΡΠ½ΡΠΌ Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΠΌ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌ Ρ ΡΠ΅Π»ΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠΉ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ°ΠΊΡΠΈΠΊΠΈ ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΈΠΊΠΈ ΠΈ Π»Π΅ΡΠ΅Π½ΠΈΡ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΡΡ
Π³ΡΠΈΠ±ΠΊΠΎΠ²ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΊ Π°Π½ΡΠΈΡΡΠ½Π³Π°Π»ΡΠ½ΡΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π²ΠΎΠ·Π±ΡΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΏΡΠΈ ΠΊΠ°Π½Π΄ΠΈΠ΄Π΅ΠΌΠΈΠΈ Ρ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π±ΠΎΠ»ΡΠ½ΡΡ
, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π³Π΅Π½ΠΎΠ² ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΈ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½ΠΎ 82 ΡΡΠ°ΠΌΠΌΠ° Candida spp., Π²ΡΠ΄Π΅Π»Π΅Π½Π½ΡΡ
ΠΈΠ· ΠΊΡΠΎΠ²ΠΈ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π±ΠΎΠ»ΡΠ½ΡΡ
Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 2015β21 Π³Π³. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΠΈΠ½Π³ΠΈΠ±ΠΈΡΡΡΡΠΈΡ
ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΉ ΡΠ»ΡΠΊΠΎΠ½Π°Π·ΠΎΠ»Π°, Π²ΠΎΡΠΈΠΊΠΎΠ½Π°Π·ΠΎΠ»Π°, ΠΏΠΎΠ·Π°ΠΊΠΎΠ½Π°Π·ΠΎΠ»Π°, Π°Π½ΠΈΠ΄ΡΠ»Π°ΡΡΠ½Π³ΠΈΠ½Π° ΠΈ ΠΌΠΈΠΊΠ°ΡΡΠ½Π³ΠΈΠ½Π° Π²ΡΠΏΠΎΠ»Π½ΡΠ»ΠΈ Π³ΡΠ°Π΄ΠΈΠ΅Π½ΡΠ½ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ (Π-ΡΠ΅ΡΡ, BioMerieux, France). ΠΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΠΠ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ EUCAST ΠΈ CLSI. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Π³Π΅Π½Ρ, Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Ρ ΡΠ°ΠΊΡΠΎΡΠ°ΠΌΠΈ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡΠΈ ΠΈ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΊ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ³ΡΠΈΠ±ΠΊΠΎΠ²ΡΠΌ Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΠΌ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ Π½Π°ΡΠ΅Π³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ (ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ EUCAST) Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π° (Π² Ρ. Ρ. ΠΊΠ°Π½Π΄ΠΈΠ΄Π΅ΠΌΠΈΠΈ) Π½Π°ΠΈΠΌΠ΅Π½Π΅Π΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌΠΈ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌΠΈ ΡΠ²Π»ΡΡΡΡΡ ΡΡΠΈΠ°Π·ΠΎΠ»Ρ, ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎ ΡΠ»ΡΠΊΠΎΠ½Π°Π·ΠΎΠ», ΠΊ ΠΊΠΎΡΠΎΡΠΎΠΌΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠΎ ΡΠ°ΡΠ΅ ΡΡΠ°ΠΌΠΌΡ Candida spp. ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½Ρ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π²ΠΎΡΠΈΠΊΠΎΠ½Π°Π·ΠΎΠ»ΠΎΠΌ (47,2 % ΠΏΡΠΎΡΠΈΠ² 23,2 %, p<0,01) ΠΈ ΠΏΠΎΠ·Π°ΠΊΠΎΠ½Π°Π·ΠΎΠ»ΠΎΠΌ (47,2 % ΠΏΡΠΎΡΠΈΠ² 30,4 %, p><0,05). ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠ°Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ in vitro ΠΎΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Ρ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² Π³ΡΡΠΏΠΏΡ ΡΡ
ΠΈΠ½ΠΎΠΊΠ°Π½Π΄ΠΈΠ½ΠΎΠ², ΠΏΡΠΈΡΠ΅ΠΌ Π°Π½ΠΈΠ΄ΡΠ»Π°ΡΡΠ½Π³ΠΈΠ½ Π² 2 ΡΠ°Π·Π° Π°ΠΊΡΠΈΠ²Π½Π΅Π΅ ΠΌΠΈΠΊΠ°ΡΡΠ½Π³ΠΈΠ½Π° (4,1 % ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΡΡ
ΡΡΠ°ΠΌΠΌΠΎΠ² ΠΏΡΠΎΡΠΈΠ² 11,4 %), Π½ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠΎΠΉ ΡΠ°Π·Π½ΠΈΡΡ ΠΏΡΠΈ ΡΡΠΎΠΌ Π½Π΅ Π²ΡΡΠ²Π»Π΅Π½ΠΎ. ΠΠ΅Π½Ρ ERG11 ΠΈ FKS1, Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Ρ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΡΡ ΠΊ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ³ΡΠΈΠ±ΠΊΠΎΠ²ΡΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌ, Π±ΡΠ»ΠΈ Π²ΡΡΠ²Π»Π΅Π½Ρ Ρ 28,6 % ΡΡΠ°ΠΌΠΌΠΎΠ² Candida spp.. ΠΠ΅Π½ ERG11 Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ Π² 8,6 % ΡΠ»ΡΡΠ°Π΅Π², ΠΏΡΠΈΡΠ΅ΠΌ ΡΠΎΠ»ΡΠΊΠΎ Ρ ΡΡΠ°ΠΌΠΌΠΎΠ² Candida albicans. ΠΠ΅Π½ FKS1 ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ Ρ 20,0 % ΡΡΠ°ΠΌΠΌΠΎΠ² (85,7 % β C. parapsilosis, ΠΏΠΎ 7,1 % β C. tropicalis ΠΈ C. glabrata). ΠΠ΅Π½Ρ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Ρ 78,6 % ΡΡΠ°ΠΌΠΌΠΎΠ² C. albicans ΠΈ Ρ 79,1 % ΠΈΠ·ΠΎΠ»ΡΡΠΎΠ² C. parapsilosis. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΡΡΠ°ΠΌΠΌΠΎΠ² Candida spp., Π½Π΅ΡΡΡΠΈΡ
Π³Π΅Π½Ρ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΊ Π°Π½ΡΠΈΡΡΠ½Π³Π°Π»ΡΠ½ΡΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡΠΈ β><Β 0,01) ΠΈ ΠΏΠΎΠ·Π°ΠΊΠΎΠ½Π°Π·ΠΎΠ»ΠΎΠΌ (47,2 % ΠΏΡΠΎΡΠΈΠ² 30,4 %, p<0,05). ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠ°Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ in vitro ΠΎΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Ρ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² Π³ΡΡΠΏΠΏΡ ΡΡ
ΠΈΠ½ΠΎΠΊΠ°Π½Π΄ΠΈΠ½ΠΎΠ², ΠΏΡΠΈΡΠ΅ΠΌ Π°Π½ΠΈΠ΄ΡΠ»Π°ΡΡΠ½Π³ΠΈΠ½ Π² 2 ΡΠ°Π·Π° Π°ΠΊΡΠΈΠ²Π½Π΅Π΅ ΠΌΠΈΠΊΠ°ΡΡΠ½Π³ΠΈΠ½Π° (4,1 % ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΡΡ
ΡΡΠ°ΠΌΠΌΠΎΠ² ΠΏΡΠΎΡΠΈΠ² 11,4 %), Π½ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠΎΠΉ ΡΠ°Π·Π½ΠΈΡΡ ΠΏΡΠΈ ΡΡΠΎΠΌ Π½Π΅ Π²ΡΡΠ²Π»Π΅Π½ΠΎ. ΠΠ΅Π½Ρ ERG11 ΠΈ FKS1, Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Ρ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΡΡ ΠΊ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ³ΡΠΈΠ±ΠΊΠΎΠ²ΡΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌ, Π±ΡΠ»ΠΈ Π²ΡΡΠ²Π»Π΅Π½Ρ Ρ 28,6 % ΡΡΠ°ΠΌΠΌΠΎΠ² Candida spp.. ΠΠ΅Π½ ERG11 Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ Π² 8,6 % ΡΠ»ΡΡΠ°Π΅Π², ΠΏΡΠΈΡΠ΅ΠΌ ΡΠΎΠ»ΡΠΊΠΎ Ρ ΡΡΠ°ΠΌΠΌΠΎΠ² Candida albicans. ΠΠ΅Π½ FKS1 ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ Ρ 20,0 % ΡΡΠ°ΠΌΠΌΠΎΠ² (85,7 % β C. parapsilosis, ΠΏΠΎ 7,1 % β C. tropicalis ΠΈ C. glabrata). ΠΠ΅Π½Ρ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Ρ 78,6 % ΡΡΠ°ΠΌΠΌΠΎΠ² C. albicans ΠΈ Ρ 79,1 % ΠΈΠ·ΠΎΠ»ΡΡΠΎΠ² C. parapsilosis. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΡΡΠ°ΠΌΠΌΠΎΠ² Candida spp., Π½Π΅ΡΡΡΠΈΡ
Π³Π΅Π½Ρ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΊ Π°Π½ΡΠΈΡΡΠ½Π³Π°Π»ΡΠ½ΡΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡΠΈ β>< 0,05). ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠ°Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ in vitro ΠΎΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Ρ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² Π³ΡΡΠΏΠΏΡ ΡΡ
ΠΈΠ½ΠΎΠΊΠ°Π½Π΄ΠΈΠ½ΠΎΠ², ΠΏΡΠΈΡΠ΅ΠΌ Π°Π½ΠΈΠ΄ΡΠ»Π°ΡΡΠ½Π³ΠΈΠ½ Π² 2 ΡΠ°Π·Π° Π°ΠΊΡΠΈΠ²Π½Π΅Π΅ ΠΌΠΈΠΊΠ°ΡΡΠ½Π³ΠΈΠ½Π° (4,1 % ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΡΡ
ΡΡΠ°ΠΌΠΌΠΎΠ² ΠΏΡΠΎΡΠΈΠ² 11,4 %), Π½ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠΎΠΉ ΡΠ°Π·Π½ΠΈΡΡ ΠΏΡΠΈ ΡΡΠΎΠΌ Π½Π΅ Π²ΡΡΠ²Π»Π΅Π½ΠΎ. ΠΠ΅Π½Ρ ERG11 ΠΈ FKS1, Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Ρ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΡΡ ΠΊ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ³ΡΠΈΠ±ΠΊΠΎΠ²ΡΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌ, Π±ΡΠ»ΠΈ Π²ΡΡΠ²Π»Π΅Π½Ρ Ρ 28,6 % ΡΡΠ°ΠΌΠΌΠΎΠ² Candida spp.. ΠΠ΅Π½ ERG11 Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ Π² 8,6 % ΡΠ»ΡΡΠ°Π΅Π², ΠΏΡΠΈΡΠ΅ΠΌ ΡΠΎΠ»ΡΠΊΠΎ Ρ ΡΡΠ°ΠΌΠΌΠΎΠ² Candida albicans. ΠΠ΅Π½ FKS1 ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ Ρ 20,0 % ΡΡΠ°ΠΌΠΌΠΎΠ² (85,7 % β C. parapsilosis, ΠΏΠΎ 7,1 % β C. tropicalis ΠΈ C. glabrata). ΠΠ΅Π½Ρ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Ρ 78,6 % ΡΡΠ°ΠΌΠΌΠΎΠ² C. albicans ΠΈ Ρ 79,1 % ΠΈΠ·ΠΎΠ»ΡΡΠΎΠ² C. parapsilosis.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΡΡΠ°ΠΌΠΌΠΎΠ² Candida spp., Π½Π΅ΡΡΡΠΈΡ
Π³Π΅Π½Ρ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΊ Π°Π½ΡΠΈΡΡΠ½Π³Π°Π»ΡΠ½ΡΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡΠΈ β ΡΡΠΎ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π»Ρ ΠΏΠΎΠΈΡΠΊΠ° Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ², ΠΎΠ±Π»Π΅Π³ΡΠ°ΡΡΠΈΡ
ΡΠ»ΠΎΠΆΠ½ΡΡ Π·Π°Π΄Π°ΡΡ ΡΡΠ°ΠΊΡΠΎΠ²ΠΊΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ ΠΎΡΠ΅Π½ΠΊΠ΅ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΡΡΠ°ΠΌΠΌΠΎΠ² Candida spp. ΠΊ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΡΡ
ΠΌΠΈΠΊΠΎΠ·ΠΎΠ²
Kosterlitz-Thouless scaling at many-body localization phase transitions
We propose a scaling theory for the many-body localization (MBL) phase transition in one dimension, building on the idea that it proceeds via a βquantum avalanche.β We argue that the critical properties can be captured at a coarse-grained level by a Kosterlitz-Thouless (KT) renormalization group (RG) flow. On phenomenological grounds, we identify the scaling variables as the density of thermal regions and the length scale that controls the decay of typical matrix elements. Within this KT picture, the MBL phase is a line of fixed points that terminates at the delocalization transition. We discuss two possible scenarios distinguished by the distribution of rare, fractal thermal inclusions within the MBL phase. In the first scenario, these regions have a stretched exponential distribution in the MBL phase. In the second scenario, the near-critical MBL phase hosts rare thermal regions that are power-law-distributed in size. This points to the existence of a second transition within the MBL phase, at which these power laws change to the stretched exponential form expected at strong disorder. We numerically simulate two different phenomenological RGs previously proposed to describe the MBL transition. Both RGs display a universal power-law length distribution of thermal regions at the transition with a critical exponent Ξ±c = 2, and continuously varying exponents in the MBL phase consistent with the KT picture.</p
Wide-scale identification of novel/eliminated genes responsible for evolutionary transformations
Abstract Background It is generally accepted that most evolutionary transformations at the phenotype level are associated either with rearrangements of genomic regulatory elements, which control the activity of gene networks, or with changes in the amino acid contents of proteins. Recently, evidence has accumulated that significant evolutionary transformations could also be associated with the loss/emergence of whole genes. The targeted identification of such genes is a challenging problem for both bioinformatics and evo-devo research. Results To solve this problem we propose the WINEGRET method, named after the first letters of the title. Its main idea is to search for genes that satisfy two requirements: first, the desired genes were lost/emerged at the same evolutionary stage at which the phenotypic trait of interest was lost/emerged, and second, the expression of these genes changes significantly during the development of the trait of interest in the model organism. To verify the first requirement, we do not use existing databases of orthologs, but rely purely on gene homology and local synteny by using some novel quickly computable conditions. Genes satisfying the second requirement are found by deep RNA sequencing. As a proof of principle, we used our method to find genes absent in extant amniotes (reptiles, birds, mammals) but present in anamniotes (fish and amphibians), in which these genes are involved in the regeneration of large body appendages. As a result, 57 genes were identified. For three of them, c-c motif chemokine 4, eotaxin-like, and a previously unknown gene called here sod4, essential roles for tail regeneration were demonstrated. Noteworthy, we established that the latter gene belongs to a novel family of Cu/Zn-superoxide dismutases lost by amniotes, SOD4. Conclusions We present a method for targeted identification of genes whose loss/emergence in evolution could be associated with the loss/emergence of a phenotypic trait of interest. In a proof-of-principle study, we identified genes absent in amniotes that participate in body appendage regeneration in anamniotes. Our method provides a wide range of opportunities for studying the relationship between the loss/emergence of phenotypic traits and the loss/emergence of specific genes in evolution