14 research outputs found
Seed size and cold stratification affect Acer negundo and Acer ginnala seeds germination
The aim of this work is to determine how the germination of seeds of the invasive tree
Acer negundo depends on the period of cold stratification under the snow and the duration of
stratification in the air on the branches of the trees. For comparison with A. negundo, we used
seeds of Acer ginnala, introduced but not invasive tree in the Middle Urals. The period of
stratification in the air modeled by collecting seeds in October and December. The duration of
cold stratification under the snow was 0, 1, 2, 3 and 4 months. We hypothesized that the duration
of stratification in the air did not affect the germination of A. negundo and A. ginnala seeds. Cold
stratification under the snow had a positive effect on seed germination of both species. The best
seed germination of A. negundo and A. ginnala was after 4 months of cold stratification under the
snow, the germination rate differs: in A. negundo 12 Β± 4% (small seeds) and 79 Β± 7% (large
seeds), in A. ginnala β 1 Β± 2% (small seeds) and 18 Β± 4% (large seeds). In both species, large
seeds germinated at 7 to 18 times more intensively than small ones. In A. ginnala case, even after
cold stratification under snow for 4 months, no more than 22% of the seeds germinated. The
germination of A. ginnala seeds was 4β5 times lower than that of A. negundo seeds
Comparison of systemic and localized carrier-mediated delivery of methylprednisolone succinate for treatment of acute spinal cord injury
Localized carrier-mediated administration of drugs is a promising approach to treatment of acute phase of spinal cord injury (SCI) as it allows enhanced and/or sustained drug delivery to damaged tissues along with minimization of systemic side effects. We studied the effect of locally applied self-assembling micellar formulation of methylprednisolone succinate (MPS) with trifunctional block copolymer of ethylene oxide and propylene oxide (TBC) on functional recovery and tissue drug content after SCI in rats in comparison with local and systemic administration of MPS alone. Variations in the amplitude of motor evoked responses in the hindlimb muscles induced by epidural stimulation during acute phase of SCI and restoration of movements during chronic period after local vs. systemic application of MPS were evaluated in this study. Results demonstrate that local delivery of MPS in combination with TBC facilitates spinal cord sensorimotor circuitry, increasing the excitability. In addition, this formulation was found to be more effective in improvement of locomotion after SCI compared to systemic administration. LCβMS/MS data shows that the use of TBC carrier increases the glucocorticoid content in treated spinal cord by more than four times over other modes of treatment. The results of this study demonstrate that the local treatment of acute SCI with MPS in the form of mixed micelles with TBC can provide improved therapeutic outcome by promoting drug accumulation and functional restoration of the spinal cord
Infectious and non-infectious pericarditis in children
Pericardial diseases in children are heterogeneous in nature and can be both isolated and part of the systemic pathology. Data on the epidemiology and etiology of pericardial disease are contradictory and depend on the hospital profile, patients' age and study aims. Objective of the research-to study modern structure of pericardial diseases in children, clinical and instrumental features of individual forms and treatment tactics in real clinical practice according to the data of the Moscow multi-profile hospital. Study materials and methods: A complex clinical and laboratory-based examination was conducted in 121 patients aged from 1 month to 18 years, admitted to Morozov Children's City Clinical Hospital in Moscow in 2001-2016 with pericardium diseases. Results: pericardium inflammatory lesions were diagnosed in 86% of children, 57% of patients had infectious pericarditis (bacterial and idiopathic). The most severe course was in cases of bacterial, neoplastic pericarditis and postpericardiotomy syndrome (PPTS). A common feature of the severe course was the accumulation of a large pericardial effusion and the threat of a cardiac tamponade. In patients with idiopathic pericarditis and PPTS, herpesvirus infections markers, Mycoplasma pneumoniae, Chlamydophila pneumoniae, were more often detected with large effusions accumulation (p=0,02). Complications development was noted in 33 (27,3%) children: cardiac tamponade or the threat of its development in 23 (19%), recurrent course in 11 (9,1%). As anti-inflammatory therapy non-steroidal anti-inflammatory drugs were used (73,6% of patients); if they were inefficient-glucocorticosteroids (41,3%) and intravenous immunoglobulins (24,8%). Pericardiocentesis due to threat of cardiac tamponade was performed in 13 (10,74%) children. Conclusion: in pericarditis structure dominated infectious: bacterial and idiopathic (57%). Specific IgM antibodies to herpesviruses, Mycoplasma pneumoniae, Chlamydophila pneumoniae are possible markers of large pericardial effusion accumulation children with idiopathic pericarditis and PPTS. To assess the predictors of pericarditis adverse course incl. use of glucocorticosteroids, it is necessary to analyze long-term disease catamnesis. Β© 2017, Pediatria Ltd. All rights reserved
Infectious and non-infectious pericarditis in children
Pericardial diseases in children are heterogeneous in nature and can be both isolated and part of the systemic pathology. Data on the epidemiology and etiology of pericardial disease are contradictory and depend on the hospital profile, patients' age and study aims. Objective of the research-to study modern structure of pericardial diseases in children, clinical and instrumental features of individual forms and treatment tactics in real clinical practice according to the data of the Moscow multi-profile hospital. Study materials and methods: A complex clinical and laboratory-based examination was conducted in 121 patients aged from 1 month to 18 years, admitted to Morozov Children's City Clinical Hospital in Moscow in 2001-2016 with pericardium diseases. Results: pericardium inflammatory lesions were diagnosed in 86% of children, 57% of patients had infectious pericarditis (bacterial and idiopathic). The most severe course was in cases of bacterial, neoplastic pericarditis and postpericardiotomy syndrome (PPTS). A common feature of the severe course was the accumulation of a large pericardial effusion and the threat of a cardiac tamponade. In patients with idiopathic pericarditis and PPTS, herpesvirus infections markers, Mycoplasma pneumoniae, Chlamydophila pneumoniae, were more often detected with large effusions accumulation (p=0,02). Complications development was noted in 33 (27,3%) children: cardiac tamponade or the threat of its development in 23 (19%), recurrent course in 11 (9,1%). As anti-inflammatory therapy non-steroidal anti-inflammatory drugs were used (73,6% of patients); if they were inefficient-glucocorticosteroids (41,3%) and intravenous immunoglobulins (24,8%). Pericardiocentesis due to threat of cardiac tamponade was performed in 13 (10,74%) children. Conclusion: in pericarditis structure dominated infectious: bacterial and idiopathic (57%). Specific IgM antibodies to herpesviruses, Mycoplasma pneumoniae, Chlamydophila pneumoniae are possible markers of large pericardial effusion accumulation children with idiopathic pericarditis and PPTS. To assess the predictors of pericarditis adverse course incl. use of glucocorticosteroids, it is necessary to analyze long-term disease catamnesis. Β© 2017, Pediatria Ltd. All rights reserved
ΠΠ½Π°Π»ΠΈΠ· ΠΌΡΡΠ°ΡΠΈΠΉ Π² Π³Π΅Π½Π°Ρ CDC27, CTBP2, HYDIN ΠΈ KMT5A ΠΏΡΠΈ ΠΊΠ°ΡΠΎΡΠΈΠ΄Π½ΡΡ ΠΏΠ°ΡΠ°Π³Π°Π½Π³Π»ΠΈΠΎΠΌΠ°Ρ
Carotid paragangliomas (CPGLs) are rare neuroendocrine tumors that arise from paraganglionic tissue of the carotid body localizing at the bifurcation of carotid artery. These tumors are slowly growing, but occasionally they become aggressive and metastatic. Surgical treatment remains high-risk and extremely challenging; radiation and chemotherapy are poorly effective. The study of molecular pathogenesis of CPGLs will allow developing novel therapeutic approaches and revealing biomarkers. Previously, we performed the exome sequencing of 52 CPGLs and estimated mutational load (ML). Paired histologically normal tissues or blood were unavailable, so potentially germline mutations were excluded from the analysis with strong filtering conditions using 1000 Genomes Project and ExAC databases. In this work, ten genes (ZNF717, CDC27, FRG2C, FAM104B, CTBP2, HLA-DRB1, HYDIN, KMT5A, MUC3A, and PRSS3) characterized by the highest level of mutational load were analyzed. Using several prediction algorithms (SIFT, PolyPhen-2, MutationTaster, and LRT), potentially pathogenic mutations were identified in four genes (CDC27, CTBP2, HYDIN, and KMT5A). Many of these mutations occurred in the majority of cases, and their mutation type was checked using exome sequencing data of blood prepared with the same exome enrichment kit that was used for preparation of exome libraries from CPGLs. The majority of the mutations were germline that can apparently be associated with annotation errors in 1000 Genomes Project and ExAC. However, part of the mutations identified in CDC27, CTBP2, HYDIN, and KMT5A remain potentially pathogenic, and there is a large body of data on the involvement of these genes in the formation and progression of other tumors. This allows considering CDC27, CTBP2, HYDIN, and KMT5A genes as potentially associated with CPGL pathogenesis and requires taking them into account in further investigations. Thus, there is a necessity to improve the methods for identification of cancer-associated genes as well as pathogenic mutations.ΠΠ°ΡΠΎΡΠΈΠ΄Π½ΡΠ΅ ΠΏΠ°ΡΠ°Π³Π°Π½Π³Π»ΠΈΠΎΠΌΡ (ΠΠΠ) - ΡΠ΅Π΄ΠΊΠΈΠ΅ Π½Π΅ΠΉΡΠΎΡΠ½Π΄ΠΎΠΊΡΠΈΠ½Π½ΡΠ΅ ΠΎΠΏΡΡ
ΠΎΠ»ΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΡΡ ΠΈΠ· ΠΏΠ°ΡΠ°Π³Π°Π½Π³Π»ΠΈΠΎΠ½Π°ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΊΠ°ΡΠΎΡΠΈΠ΄Π½ΠΎΠ³ΠΎ ΡΠ΅Π»ΡΡΠ° ΠΈ ΡΠ°ΡΠΏΠΎΠ»Π°Π³Π°ΡΡΡΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ Π±ΠΈΡΡΡΠΊΠ°ΡΠΈΠΈ ΡΠΎΠ½Π½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ. ΠΡΠΈ ΠΎΠΏΡΡ
ΠΎΠ»ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡΡ ΠΌΠ΅Π΄Π»Π΅Π½Π½ΡΠΌ ΡΠΎΡΡΠΎΠΌ, ΠΎΠ΄Π½Π°ΠΊΠΎ Π² ΡΡΠ΄Π΅ ΡΠ»ΡΡΠ°Π΅Π² Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ Π°Π³ΡΠ΅ΡΡΠΈΠ²Π½ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΠΈ ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅. ΠΠΏΠ΅ΡΠ°ΡΠΈΠΈ ΠΏΠΎ ΡΠ΄Π°Π»Π΅Π½ΠΈΡ ΠΊΠ°ΡΠΎΡΠΈΠ΄Π½ΡΡ
ΠΏΠ°ΡΠ°Π³Π°Π½Π³Π»ΠΈΠΎΠΌ ΡΠΎΠΏΡΡΠΆΠ΅Π½Ρ Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΠΈΡΠΊΠΎΠΌ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ Π»ΡΡΠ΅Π²Π°Ρ ΠΈ Ρ
ΠΈΠΌΠΈΠΎΡΠ΅ΡΠ°ΠΏΠΈΡ ΠΌΠ°Π»ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½Ρ. ΠΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·Π° ΠΠΠ ΠΌΠΎΠΆΠ΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ Π½ΠΎΠ²ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΠΊ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΈ ΠΎΡΠΊΡΡΡΠΈΡ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ². Π Π°Π½Π΅Π΅ Π½Π°ΠΌΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ Π²ΡΡΠΎΠΊΠΎΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΊΠ·ΠΎΠΌΠ° 52 Π°ΡΡ
ΠΈΠ²Π½ΡΡ
ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² ΠΠΠ, ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π·Π°Π΄Π°Ρ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ Π±ΡΠ»Π° ΠΎΡΠ΅Π½ΠΊΠ° ΠΌΡΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠΈ. ΠΠ·-Π·Π° ΠΎΡΡΡΡΡΡΠ²ΠΈΡ ΠΏΠ°ΡΠ½ΡΡ
ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² Π³ΠΈΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΡΡ
ΡΠΊΠ°Π½Π΅ΠΉ ΠΈΠ»ΠΈ ΠΊΡΠΎΠ²ΠΈ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ Π³Π΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΌΡΡΠ°ΡΠΈΠΈ Π±ΡΠ»ΠΈ ΠΈΡΠΊΠ»ΡΡΠ΅Π½Ρ ΠΈΠ· Π²ΡΠ±ΠΎΡΠΊΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π±Π°Π· Π΄Π°Π½Π½ΡΡ
1000 Genomes Project ΠΈ ExAC ΠΏΡΠΈ ΡΡΡΠΎΠ³ΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°Ρ
ΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ. Π Π½Π°ΡΡΠΎΡΡΠ΅ΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ Π΄Π΅ΡΡΡΡ Π³Π΅Π½ΠΎΠ² (ZNF717, CDC27, FRG2C, FAM104B, CTBP2, HLA-DRB1, HYDIN, KMT5A, MUC3A ΠΈ PRSS3), Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΡ
ΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΎΠΉ ΠΌΡΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠΎΠΉ. Π ΡΠ΅ΡΡΡΠ΅Ρ
Π³Π΅Π½Π°Ρ
(CDC27, CTBP2, HYDIN ΠΈ KMT5A) ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Ρ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΠ΅ ΠΌΡΡΠ°ΡΠΈΠΈ, ΡΠΎΠ³Π»Π°ΡΠ½ΠΎ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΠΌ ΠΏΡΠ΅Π΄ΡΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠ½ΡΠΌ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°ΠΌ (SIFT, PolyPhen-2, MutationTaster ΠΈ LRT). ΠΠ½ΠΎΠ³ΠΈΠ΅ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ ΠΌΡΡΠ°ΡΠΈΠΈ ΠΎΠΊΠ°Π·Π°Π»ΠΈΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠΌΠΈ Π² Π±ΠΎΠ»ΡΡΠΎΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅ ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² Π²ΡΠ±ΠΎΡΠΊΠΈ, ΡΡΠΎ Π·Π°ΡΡΠ°Π²ΠΈΠ»ΠΎ ΠΏΡΠΎΠ²Π΅ΡΠΈΡΡ ΠΈΡ
ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΡΠ°ΡΡΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΊΠ·ΠΎΠΌΠ° ΠΊΡΠΎΠ²ΠΈ, Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π½ΠΎΠ³ΠΎ Ρ ΡΠ°ΠΊΠΈΠΌ ΠΆΠ΅ Π½Π°Π±ΠΎΡΠΎΠΌ Π΄Π»Ρ ΡΠΊΠ·ΠΎΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΠΎΠ³Π°ΡΠ΅Π½ΠΈΡ, ΠΊΠ°ΠΊ ΠΈ ΠΏΡΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΎΠΏΡΡ
ΠΎΠ»Π΅ΠΉ ΠΠΠ. ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ, ΡΡΠΎ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΠΈΡΠ»ΠΎ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΡ
ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΡ
ΠΌΡΡΠ°ΡΠΈΠΉ ΡΠ²Π»ΡΡΡΡΡ Π³Π΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΡΠΌΠΈ, ΡΡΠΎ, ΠΏΠΎ-Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌΡ, ΡΠ²ΡΠ·Π°Π½ΠΎ Ρ Π½Π°Π»ΠΈΡΠΈΠ΅ΠΌ ΠΎΡΠΈΠ±ΠΎΠΊ Π°Π½Π½ΠΎΡΠ°ΡΠΈΠΈ Π² Π±Π°Π·Π°Ρ
Π΄Π°Π½Π½ΡΡ
1000 Genomes Project ΠΈ ExAC. ΠΠ΄Π½Π°ΠΊΠΎ ΡΠ°ΡΡΡ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΌΡΡΠ°ΡΠΈΠΉ Π² Π³Π΅Π½Π°Ρ
CDC27, CTBP2, HYDIN ΠΈ KMT5A ΠΎΡΡΠ°ΡΡΡΡ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΠΌΠΈ, ΠΊΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΠΈΠΌΠ΅ΡΡΡΡ ΠΌΠ½ΠΎΠ³ΠΎΡΠΈΡΠ»Π΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΎ Π²ΠΎΠ²Π»Π΅ΡΠ΅Π½Π½ΠΎΡΡΠΈ ΡΡΠΈΡ
Π³Π΅Π½ΠΎΠ² Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡ Π΄ΡΡΠ³ΠΈΡ
Π²ΠΈΠ΄ΠΎΠ² ΠΎΠΏΡΡ
ΠΎΠ»Π΅ΠΉ. ΠΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΡΠΈΡΠ°ΡΡ Π³Π΅Π½Ρ CDC27, CTBP2, HYDIN ΠΈ KMT5A ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ ΡΠ²ΡΠ·Π°Π½Π½ΡΠΌΠΈ Ρ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·ΠΎΠΌ ΠΠΠ ΠΈ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΎΠ±ΡΠ°ΡΠΈΡΡ Π½Π° Π½ΠΈΡ
ΠΎΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π² Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°ΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ Π΄Π»Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΎΠ½ΠΊΠΎ-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π³Π΅Π½ΠΎΠ² ΠΈ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΡ
ΠΌΡΡΠ°ΡΠΈΠΉ
ΠΠ½Π°Π»ΠΈΠ· ΠΌΡΡΠ°ΡΠΈΠΉ Π² Π³Π΅Π½Π°Ρ CDC27, CTBP2, HYDIN ΠΈ KMT5A ΠΏΡΠΈ ΠΊΠ°ΡΠΎΡΠΈΠ΄Π½ΡΡ ΠΏΠ°ΡΠ°Π³Π°Π½Π³Π»ΠΈΠΎΠΌΠ°Ρ
Carotid paragangliomas (CPGLs) are rare neuroendocrine tumors that arise from paraganglionic tissue of the carotid body localizing at the bifurcation of carotid artery. These tumors are slowly growing, but occasionally they become aggressive and metastatic. Surgical treatment remains high-risk and extremely challenging; radiation and chemotherapy are poorly effective. The study of molecular pathogenesis of CPGLs will allow developing novel therapeutic approaches and revealing biomarkers. Previously, we performed the exome sequencing of 52 CPGLs and estimated mutational load (ML). Paired histologically normal tissues or blood were unavailable, so potentially germline mutations were excluded from the analysis with strong filtering conditions using 1000 Genomes Project and ExAC databases. In this work, ten genes (ZNF717, CDC27, FRG2C, FAM104B, CTBP2, HLA-DRB1, HYDIN, KMT5A, MUC3A, and PRSS3) characterized by the highest level of mutational load were analyzed. Using several prediction algorithms (SIFT, PolyPhen-2, MutationTaster, and LRT), potentially pathogenic mutations were identified in four genes (CDC27, CTBP2, HYDIN, and KMT5A). Many of these mutations occurred in the majority of cases, and their mutation type was checked using exome sequencing data of blood prepared with the same exome enrichment kit that was used for preparation of exome libraries from CPGLs. The majority of the mutations were germline that can apparently be associated with annotation errors in 1000 Genomes Project and ExAC. However, part of the mutations identified in CDC27, CTBP2, HYDIN, and KMT5A remain potentially pathogenic, and there is a large body of data on the involvement of these genes in the formation and progression of other tumors. This allows considering CDC27, CTBP2, HYDIN, and KMT5A genes as potentially associated with CPGL pathogenesis and requires taking them into account in further investigations. Thus, there is a necessity to improve the methods for identification of cancer-associated genes as well as pathogenic mutations.ΠΠ°ΡΠΎΡΠΈΠ΄Π½ΡΠ΅ ΠΏΠ°ΡΠ°Π³Π°Π½Π³Π»ΠΈΠΎΠΌΡ (ΠΠΠ) - ΡΠ΅Π΄ΠΊΠΈΠ΅ Π½Π΅ΠΉΡΠΎΡΠ½Π΄ΠΎΠΊΡΠΈΠ½Π½ΡΠ΅ ΠΎΠΏΡΡ
ΠΎΠ»ΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΡΡ ΠΈΠ· ΠΏΠ°ΡΠ°Π³Π°Π½Π³Π»ΠΈΠΎΠ½Π°ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΊΠ°ΡΠΎΡΠΈΠ΄Π½ΠΎΠ³ΠΎ ΡΠ΅Π»ΡΡΠ° ΠΈ ΡΠ°ΡΠΏΠΎΠ»Π°Π³Π°ΡΡΡΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ Π±ΠΈΡΡΡΠΊΠ°ΡΠΈΠΈ ΡΠΎΠ½Π½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ. ΠΡΠΈ ΠΎΠΏΡΡ
ΠΎΠ»ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡΡ ΠΌΠ΅Π΄Π»Π΅Π½Π½ΡΠΌ ΡΠΎΡΡΠΎΠΌ, ΠΎΠ΄Π½Π°ΠΊΠΎ Π² ΡΡΠ΄Π΅ ΡΠ»ΡΡΠ°Π΅Π² Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ Π°Π³ΡΠ΅ΡΡΠΈΠ²Π½ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΠΈ ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅. ΠΠΏΠ΅ΡΠ°ΡΠΈΠΈ ΠΏΠΎ ΡΠ΄Π°Π»Π΅Π½ΠΈΡ ΠΊΠ°ΡΠΎΡΠΈΠ΄Π½ΡΡ
ΠΏΠ°ΡΠ°Π³Π°Π½Π³Π»ΠΈΠΎΠΌ ΡΠΎΠΏΡΡΠΆΠ΅Π½Ρ Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΠΈΡΠΊΠΎΠΌ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ Π»ΡΡΠ΅Π²Π°Ρ ΠΈ Ρ
ΠΈΠΌΠΈΠΎΡΠ΅ΡΠ°ΠΏΠΈΡ ΠΌΠ°Π»ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½Ρ. ΠΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·Π° ΠΠΠ ΠΌΠΎΠΆΠ΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ Π½ΠΎΠ²ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΠΊ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΈ ΠΎΡΠΊΡΡΡΠΈΡ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ². Π Π°Π½Π΅Π΅ Π½Π°ΠΌΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ Π²ΡΡΠΎΠΊΠΎΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΊΠ·ΠΎΠΌΠ° 52 Π°ΡΡ
ΠΈΠ²Π½ΡΡ
ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² ΠΠΠ, ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π·Π°Π΄Π°Ρ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ Π±ΡΠ»Π° ΠΎΡΠ΅Π½ΠΊΠ° ΠΌΡΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠΈ. ΠΠ·-Π·Π° ΠΎΡΡΡΡΡΡΠ²ΠΈΡ ΠΏΠ°ΡΠ½ΡΡ
ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² Π³ΠΈΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΡΡ
ΡΠΊΠ°Π½Π΅ΠΉ ΠΈΠ»ΠΈ ΠΊΡΠΎΠ²ΠΈ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ Π³Π΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΌΡΡΠ°ΡΠΈΠΈ Π±ΡΠ»ΠΈ ΠΈΡΠΊΠ»ΡΡΠ΅Π½Ρ ΠΈΠ· Π²ΡΠ±ΠΎΡΠΊΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π±Π°Π· Π΄Π°Π½Π½ΡΡ
1000 Genomes Project ΠΈ ExAC ΠΏΡΠΈ ΡΡΡΠΎΠ³ΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°Ρ
ΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ. Π Π½Π°ΡΡΠΎΡΡΠ΅ΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ Π΄Π΅ΡΡΡΡ Π³Π΅Π½ΠΎΠ² (ZNF717, CDC27, FRG2C, FAM104B, CTBP2, HLA-DRB1, HYDIN, KMT5A, MUC3A ΠΈ PRSS3), Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΡ
ΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΎΠΉ ΠΌΡΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠΎΠΉ. Π ΡΠ΅ΡΡΡΠ΅Ρ
Π³Π΅Π½Π°Ρ
(CDC27, CTBP2, HYDIN ΠΈ KMT5A) ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Ρ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΠ΅ ΠΌΡΡΠ°ΡΠΈΠΈ, ΡΠΎΠ³Π»Π°ΡΠ½ΠΎ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΠΌ ΠΏΡΠ΅Π΄ΡΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠ½ΡΠΌ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°ΠΌ (SIFT, PolyPhen-2, MutationTaster ΠΈ LRT). ΠΠ½ΠΎΠ³ΠΈΠ΅ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ ΠΌΡΡΠ°ΡΠΈΠΈ ΠΎΠΊΠ°Π·Π°Π»ΠΈΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠΌΠΈ Π² Π±ΠΎΠ»ΡΡΠΎΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅ ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² Π²ΡΠ±ΠΎΡΠΊΠΈ, ΡΡΠΎ Π·Π°ΡΡΠ°Π²ΠΈΠ»ΠΎ ΠΏΡΠΎΠ²Π΅ΡΠΈΡΡ ΠΈΡ
ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΡΠ°ΡΡΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΊΠ·ΠΎΠΌΠ° ΠΊΡΠΎΠ²ΠΈ, Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π½ΠΎΠ³ΠΎ Ρ ΡΠ°ΠΊΠΈΠΌ ΠΆΠ΅ Π½Π°Π±ΠΎΡΠΎΠΌ Π΄Π»Ρ ΡΠΊΠ·ΠΎΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΠΎΠ³Π°ΡΠ΅Π½ΠΈΡ, ΠΊΠ°ΠΊ ΠΈ ΠΏΡΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΎΠΏΡΡ
ΠΎΠ»Π΅ΠΉ ΠΠΠ. ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ, ΡΡΠΎ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΠΈΡΠ»ΠΎ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΡ
ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΡ
ΠΌΡΡΠ°ΡΠΈΠΉ ΡΠ²Π»ΡΡΡΡΡ Π³Π΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΡΠΌΠΈ, ΡΡΠΎ, ΠΏΠΎ-Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌΡ, ΡΠ²ΡΠ·Π°Π½ΠΎ Ρ Π½Π°Π»ΠΈΡΠΈΠ΅ΠΌ ΠΎΡΠΈΠ±ΠΎΠΊ Π°Π½Π½ΠΎΡΠ°ΡΠΈΠΈ Π² Π±Π°Π·Π°Ρ
Π΄Π°Π½Π½ΡΡ
1000 Genomes Project ΠΈ ExAC. ΠΠ΄Π½Π°ΠΊΠΎ ΡΠ°ΡΡΡ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΌΡΡΠ°ΡΠΈΠΉ Π² Π³Π΅Π½Π°Ρ
CDC27, CTBP2, HYDIN ΠΈ KMT5A ΠΎΡΡΠ°ΡΡΡΡ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΠΌΠΈ, ΠΊΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΠΈΠΌΠ΅ΡΡΡΡ ΠΌΠ½ΠΎΠ³ΠΎΡΠΈΡΠ»Π΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΎ Π²ΠΎΠ²Π»Π΅ΡΠ΅Π½Π½ΠΎΡΡΠΈ ΡΡΠΈΡ
Π³Π΅Π½ΠΎΠ² Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡ Π΄ΡΡΠ³ΠΈΡ
Π²ΠΈΠ΄ΠΎΠ² ΠΎΠΏΡΡ
ΠΎΠ»Π΅ΠΉ. ΠΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΡΠΈΡΠ°ΡΡ Π³Π΅Π½Ρ CDC27, CTBP2, HYDIN ΠΈ KMT5A ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ ΡΠ²ΡΠ·Π°Π½Π½ΡΠΌΠΈ Ρ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·ΠΎΠΌ ΠΠΠ ΠΈ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΎΠ±ΡΠ°ΡΠΈΡΡ Π½Π° Π½ΠΈΡ
ΠΎΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π² Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°ΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ Π΄Π»Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΎΠ½ΠΊΠΎ-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π³Π΅Π½ΠΎΠ² ΠΈ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΡ
ΠΌΡΡΠ°ΡΠΈΠΉ
Comparative lipidomic analysis of inflammatory mediators in the aqueous humor and tear fluid of humans and rabbits
Introduction: Ocular inflammation is a key pathogenic factor in most blindness-causing visual disorders. It can manifest in the aqueous humor (AH) and tear fluid (TF) as alterations in polyunsaturated fatty acids (PUFAs) and their metabolites, oxylipins, lipid mediators, which are biosynthesized via enzymatic pathways involving lipoxygenase, cyclooxygenase or cytochrome P450 monooxygenase and specifically regulate inflammation and resolution pathways. Objectives: This study aimed to establish the baseline patterns of PUFAs and oxylipins in AH and TF by their comprehensive lipidomic identification and profiling in humans in the absence of ocular inflammation and comparatively analyze these compounds in the eye liquids of rabbits, the species often employed in investigative ophthalmology. Methods: Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used for qualitative and quantitative characterization of lipid compounds in the analyzed samples. Results: A total of 28 lipid compounds were identified, including phospholipid derivatives and PUFAs, as well as 22 oxylipins. Whereas the PUFAs included arachidonic, docosahexaenoic and eicosapentaenoic acids, the oxylipins were derived mainly from arachidonic, linoleic and Ξ±-linolenic acids. Remarkably, although the concentration of oxylipins in AH was lower compared to TF, these liquids showed pronounced similarity in their lipid profiles, which additionally exhibited noticeable interspecies concordance. Conclusion: The revealed correlations confirm the feasibility of rabbit models for investigating pathogenesis and trialing therapies of human eye disorders. The identified metabolite patterns suggest enzymatic mechanisms of oxylipin generation in AH and TF and might be used as a reference in ocular inflammation studies. Β© 2020, Springer Science+Business Media, LLC, part of Springer Nature