84 research outputs found
ΠΡΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° Ρ ΡΠ΅Π΄ΠΊΠΈΠΌ Π΄ΠΈΠ°Π³Π½ΠΎΠ·ΠΎΠΌ: Π½ΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΡΠ΅ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΡ ΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΡ Π»Π΅ΡΠ΅Π±Π½ΠΎ-Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΏΡΠΈ ΠΎΡΡΠ°Π½Π½ΠΎΠΌ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΈ Π² Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ
The main legislative document of the organization of medical care in the Russian Federation βOn fundamental healthcare principlesΒ in the Russian Federationβ and points related to the rare (orphan) diseases areΒ discussed. The organization of care, rules for managing aΒ federalΒ registry of orphan diseases and routing of patients with main orphan nosological forms for which treatment is known are presented.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΏΡΠ°Π²ΠΎΠ²ΡΠ΅ ΠΎΡΠ½ΠΎΠ²Ρ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ Π»ΠΈΡΠ°ΠΌ Ρ ΡΠ΅Π΄ΠΊΠΈΠΌΠΈ (ΠΎΡΡΠ°Π½Π½ΡΠΌΠΈ) Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΠ΅ Π² Π€Π΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΌΒ Π·Π°ΠΊΠΎΠ½Π΅ Β«ΠΠ± ΠΎΡΠ½ΠΎΠ²Π°Ρ
ΠΎΡ
ΡΠ°Π½Ρ Π·Π΄ΠΎΡΠΎΠ²ΡΡ Π³ΡΠ°ΠΆΠ΄Π°Π½ Π²Β Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈΒ», ΠΏΡΠ°Π²ΠΈΠ»Π° Π²Π΅Π΄Π΅Π½ΠΈΡ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΡΡΡΠ° ΠΎΡΡΠ°Π½Π½ΡΡ
Π±ΠΎΠ»Π΅Π·Π½Π΅ΠΉ ΠΈ ΠΌΠ°ΡΡΡΡΡΠΈΠ·Π°ΡΠΈΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° Ρ ΡΠ΅ΠΌΠΈ Π½ΠΎΠ·ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠΎΡΠΌΠ°ΠΌΠΈ, Π΄Π»Ρ ΠΊΠΎΡΠΎΡΡΡ
ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ Π»Π΅ΡΠ΅Π½ΠΈΠ΅
Chromosome instability, aging and brain diseases
Chromosome instability (CIN) has been repeatedly associated with aging and progeroid phenotypes. Moreover, brainβspecific CIN seems to be an important element of pathogenic cascades leading to neurodegeneration in late adulthood. Alternatively, CIN and aneuploidy (chromosomal loss/gain) syndromes exhibit accelerated aging phenotype
Somatic mosaicism in the diseased brain
It is hard to believe that all the cells of a human brain share identical genomes. Indeed, single cell genetic studies have demonstrated intercellular genomic variability in the normal and diseased brai
ΠΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠΎΠ΄ΡΡΠ²Π° ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»Π΅ΠΉ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ΅ΠΉΡΡΠ²Π° Cryptogrammoideae (Pteridaceae)
This research is the first comprehensive analysis of the intrageneric relationships inside the subfamily Cryptogrammoideae: 14 taxa of Coniogramme and one species of Cryptogramma were involved additionally in the molecular phylogenetic studies based on rbcL gene of plastid DNA; spore morphology of 32 taxa of cryptogrammoid ferns, namely 22 taxa of Coniogramme, nine species of Cryptogramma and one species of Llavea were studied using scanning electronic microscopy (SEM); 31 taxon of Cryptogrammoideae were studied using herbarium data from Herbaria across Europe and Asia (P, PE, LE, VLA, ALTB, TK) according to global botanical and geographical zones. As a result of this comprehensive analysis, we established a deep divergence of Coniogramme merillii in Coniogramme superclade: this species is the sister lineage to the remainder of Coniogramme. We revealed also the separateness of Co. suprapilosa from Co. rosthornii and Co. longissima, Co. africana from Co. lanceolata and Co. fraxinea, Co. robusta from Co. jinggangshanensis, Co. wilsonii and Co. japonica. Among Cryptogramma species, the relationship of Far Eastern Cr. gorovoi with Cr. crispa from the Caucasus and the Turkish endemic Cr. bithynica but not with any Far Eastern species was revealed. Spores of Coniogramme are characterized by simple smooth, granulate and papillate macroornamentation, spores of Cryptogramma species have the more coarse colliculate or tuberculate macro-ornamentation. Peculiarities of macro-ornamentation allow us to define six spore types in cryptogrammoid ferns: four spore types in Coniogramme and two spore types in Cryptogramma; the same spore type we assigned for Llavea cordifolia and Coniogramme suprapilosa. In Coniogramme, the grouping of species attending the spore type does not agree with existing classification and phylogenetic hypotheses. Genetic separateness of Co. suprapilosa corresponds with its exceptional verrucate spore sculpture not found in other Coniogramme species. In Cryptogramma, the grouping on the spore types corresponds with other morphological characteristics, existing system and molecular phylogeny. Spore ornamentation has diagnostic value in the recognition of cryptogrammoid taxa at the generic and section (in Cryptogramma) level
The Mechanisms of Resistance to Tyrosine Kinase Inhibitor Imatinib Therapy of Chronic Myeloid Leukemia
Imatinib mesylate is a potent and high selective inhibitor of Bcr-Abl tyrosine kinase, which is established now as the standard of Philadelphia chromosome positive (Ph) chronic myeloid leukemia (CML) treatment. The treatment of patients with chronic phase of CML with imatinib has resulted in high rates of hematologic and cytogenetic responses. Nevertheless, primary and acquired resistance have been observed in few CML patients. The mechanisms of resistance to imatinib and its clinical significance were discussed in this review
ΠΠ°ΡΠ»Π΅Π΄ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ Π»Π΅Π³ΠΊΠΈΡ ΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ
The European Respiratory Society website gives the following criterion for the disease to be classified as rare (orphan) - the disease occurs in 1 person per 2 000. One of the well-studied rare lung diseases is cystic fibrosis (CF), which is often considered a medical care model for patients with other orphan diseases. However, effective diagnostics and therapies have not yet been developed for many other rare diseases. Moreover, their true prevalence remains unknown because these diseases often go undiagnosed. One of the problems in diagnosing rare diseases is the lack of knowledge among physicians.The aim of this review is to provide a brief clinical and genetic description of rare hereditary lung diseases and to show modern genetic diagnostics to raise awareness among physicians. Data from 95 articles on hereditary lung diseases were used.Results. The results of the analysis of lung diseases associated with bronchiectasis, fibrosis, pneumothorax, and hereditary storage diseases are presented. Genetics and diagnostics, including the three-step molecular genetic testing for cystic fibrosis, are considered in detail. The diagnosis has been developed for both neonatal screening and clinical manifestations. The emergence of targeted therapy based on genetic diagnosis makes neonatal screening even more relevant and leads to an increase in life expectancy. A patient registry was established within 10 years. A detailed analysis of the diagnosis of primary ciliary dyskinesia (PCD) is given, taking into account the absence of a single βgoldenβ standard for the diagnosis of PCD. The genetic basis of the most common hereditary diseases and modern possibilities of their diagnosis are discussed, including sequencing of genes responsible for the development of orphan diseases using standard Sanger sequencing methods and next-generation sequencing, and creating multigene panels.Conclusion. New molecular diagnostic methods will help to understand the nature of orphan lung diseases, study their epidemiology, and develop new diagnostic algorithms. The study of the genetic causes of rare diseases may serve as a basis for the development of targeted therapy.ΠΠ° ΡΠ°ΠΉΡΠ΅ ΠΠ²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΡΡΠ²Π° (https://europeanlung.org/en/information-hub/factsheets/rare-and-orphan-lung-diseases/) ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΏΡΠΈΠ½ΡΡΡΠΉ Π² ΠΠ²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠΌ Π‘ΠΎΡΠ·Π΅ ΡΠ»Π΅Π΄ΡΡΡΠΈΠΉ ΠΊΡΠΈΡΠ΅ΡΠΈΠΉ ΠΎΡΠ½Π΅ΡΠ΅Π½ΠΈΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΠΊ ΡΠ΅Π΄ΠΊΠΎΠΌΡ (ΠΎΡΡΠ°Π½Π½ΠΎΠΌΡ): Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅ Π΄ΠΎΠ»ΠΆΠ½ΠΎ Π²ΡΡΡΠ΅ΡΠ°ΡΡΡΡ Π² ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ Ρ ΡΠ°ΡΡΠΎΡΠΎΠΉ < 1 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π½Π° 2 000 Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· Ρ
ΠΎΡΠΎΡΠΎ ΠΈΠ·ΡΡΠ΅Π½Π½ΡΡ
ΡΠ΅Π΄ΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π»Π΅Π³ΠΊΠΈΡ
ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΌΡΠΊΠΎΠ²ΠΈΡΡΠΈΠ΄ΠΎΠ· (ΠΠ) (ΠΊΠΈΡΡΠΎΠ·Π½ΡΠΉ ΡΠΈΠ±ΡΠΎΠ·), Π·Π°ΡΠ°ΡΡΡΡ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΡΠΉ ΠΊΠ°ΠΊ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΠΊΠ°Π·Π°Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌ Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΠΎΡΡΠ°Π½Π½ΡΠΌΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ. ΠΠ΄Π½Π°ΠΊΠΎ Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ ΠΠ, Π΄Π»Ρ ΠΌΠ½ΠΎΠ³ΠΈΡ
Π΄ΡΡΠ³ΠΈΡ
ΡΠ΅Π΄ΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π΄Π΅ΠΉΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ ΠΊ ΠΈΡ
ΡΠ°Π½Π½Π΅ΠΌΡ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Π½Π΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Ρ. ΠΠΎΠ»Π΅Π΅ ΡΠΎΠ³ΠΎ, ΠΈΡ
ΠΈΡΡΠΈΠ½Π½Π°Ρ ΡΠ°ΡΡΠΎΡΠ° Π² ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ ΠΎΡΡΠ°Π΅ΡΡΡ Π½Π΅ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎΠΉ, Ρ. ΠΊ. ΡΡΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΡΠ°ΡΡΠΎ Π²ΠΎΠΎΠ±ΡΠ΅ Π½Π΅ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΡΡΡΡΡ. ΠΠ΄Π½ΠΎΠΉ ΠΈΠ· ΠΏΡΠΎΠ±Π»Π΅ΠΌ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΡΠ΅Π΄ΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½Π°Ρ ΠΈΠ½ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΡ Π²ΡΠ°ΡΠ΅ΠΉ ΠΎΠ± ΡΡΠΈΡ
Π±ΠΎΠ»Π΅Π·Π½ΡΡ
.Π¦Π΅Π»ΡΡ ΠΎΠ±Π·ΠΎΡΠ° ΡΠ²ΠΈΠ»ΠΎΡΡ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΊΡΠ°ΡΠΊΠΎΠΉ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΡΠ΅Π΄ΠΊΠΈΡ
Π½Π°ΡΠ»Π΅Π΄ΡΡΠ²Π΅Π½Π½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π»Π΅Π³ΠΊΠΈΡ
, ΠΎΡΠ΅Π½ΠΊΠ° ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΈΡ
Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΎΡΠ²Π΅Π΄ΠΎΠΌΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π²ΡΠ°ΡΠ΅ΠΉ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π΄Π°Π½Π½ΡΠ΅ 95 ΡΡΠ°ΡΠ΅ΠΉ ΠΏΠΎ Π½Π°ΡΠ»Π΅Π΄ΡΡΠ²Π΅Π½Π½ΡΠΌ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌ Π»Π΅Π³ΠΊΠΈΡ
.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π°Π½Π°Π»ΠΈΠ·Π° Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π»Π΅Π³ΠΊΠΈΡ
, ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°ΡΡΠΈΡ
ΡΡ Π±ΡΠΎΠ½Ρ
ΠΎΡΠΊΡΠ°Π·Π°ΠΌΠΈ, ΡΠΈΠ±ΡΠΎΠ·ΠΎΠΌ, ΠΏΠ½Π΅Π²ΠΌΠΎΡΠΎΡΠ°ΠΊΡΠΎΠΌ ΠΈ Π½Π°ΡΠ»Π΅Π΄ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π±ΠΎΠ»Π΅Π·Π½ΡΠΌΠΈ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½ΠΎ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π³Π΅Π½Π΅ΡΠΈΠΊΠ°, Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ°, Π² Ρ. Ρ. ΡΡΠ΅Ρ
ΡΡΠ°ΠΏΠ½ΠΎΠ΅ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΈ ΠΠ. ΠΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ° Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π° ΠΊΠ°ΠΊ ΠΏΡΠΈ Π½Π΅ΠΎΠ½Π°ΡΠ°Π»ΡΠ½ΠΎΠΌ ΡΠΊΡΠΈΠ½ΠΈΠ½Π³Π΅, ΡΠ°ΠΊ ΠΈ ΠΏΠΎ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡΠΌ. ΠΠΎΡΠ²Π»Π΅Π½ΠΈΠ΅ ΡΠ°ΡΠ³Π΅ΡΠ½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π½Π° Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΌ Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π΅, Π΄Π΅Π»Π°Π΅Ρ Π½Π΅ΠΎΠ½Π°ΡΠ°Π»ΡΠ½ΡΠΉ ΡΠΊΡΠΈΠ½ΠΈΠ½Π³ Π΅ΡΠ΅ Π±ΠΎΠ»Π΅Π΅ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠΌ, ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΆΠΈΠ·Π½ΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅ΡΡΡ. Π Π΅Π³ΠΈΡΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠΎΠ·Π΄Π°Π΅ΡΡΡ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 10 Π»Π΅Ρ. ΠΡΠΈΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠΉ ΡΠΈΠ»ΠΈΠ°ΡΠ½ΠΎΠΉ Π΄ΠΈΡΠΊΠΈΠ½Π΅Π·ΠΈΠΈ (ΠΠ¦Π) Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΎΡΡΡΡΡΡΠ²ΠΈΡ Π΅Π΄ΠΈΠ½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° β Β«Π·ΠΎΠ»ΠΎΡΠΎΠ³ΠΎ ΡΡΠ°Π½Π΄Π°ΡΡΠ°Β» Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΠ¦Π, ΠΊΠ°ΠΊ ΠΏΡΠΈ ΠΠ. ΠΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΡΡΡ
Π½Π°ΡΠ»Π΅Π΄ΡΡΠ²Π΅Π½Π½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΡ
Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ (ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π³Π΅Π½ΠΎΠ², ΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΡΡ
Π·Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΎΡΡΠ°Π½Π½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ Π‘ΡΠ½Π³Π΅ΡΡ ΠΈ ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΡ, ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΠΌΡΠ»ΡΡΠΈΠ³Π΅Π½Π½ΡΡ
ΠΏΠ°Π½Π΅Π»Π΅ΠΉ).ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ²ΡΠ΅ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΏΠΎΠΌΠΎΠ³ΡΡ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΠΎΠ½ΡΡΡ ΠΏΡΠΈΡΠΎΠ΄Ρ ΠΎΡΡΠ°Π½Π½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π»Π΅Π³ΠΊΠΈΡ
, Π½ΠΎ ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡ ΠΈΠ·ΡΡΠΈΡΡ ΠΈΡ
ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡ ΠΈ ΡΠΎΠ·Π΄Π°ΡΡ Π½ΠΎΠ²ΡΠ΅ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π°Π»Π³ΠΎΡΠΈΡΠΌΡ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΈΡΠΈΠ½ ΡΠ΅Π΄ΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΈΠΌΠ΅Π΅Ρ ΡΡΠ½Π΄Π°ΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅, Ρ. ΠΊ. ΠΌΠΎΠΆΠ΅Ρ ΡΠ»ΡΠΆΠΈΡΡ ΠΎΡΠ½ΠΎΠ²ΠΎΠΉ Π΄Π»Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ°ΡΠ³Π΅ΡΠ½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ
ROS-Induced DNA Damage Associates with Abundance of Mitochondrial DNA in White Blood Cells of the Untreated Schizophrenic Patients
Objective. The aim of this study was (1) to examine the leukocyte mtDNA copy number (CN) in unmedicated (SZ (mβ)) and medicated (SZ (m+)) male patients with paranoid schizophrenia (SZ) in comparison with the healthy male controls (HC) and (2) to compare the leukocyte mtDNA CN with the content of an oxidation marker 8-oxodG in lymphocytes of the SZ (mβ) patients. Methods. We evaluated leukocyte mtDNA CN of 110 subjects with SZ in comparison with 60 male HC by the method qPCR (ratio mtDNA/nDNA (gene B2M) was detected). SZ patients were divided into two subgroups. The patients of the subgroups SZ (m+) (N=55) were treated with standard antipsychotic medications in the hospital. The patients of the subgroup SZ (mβ) (N=55) were not treated before venous blood was sampled. To evaluate oxidative DNA damage, we quantified the levels of 8-oxodG in lymphocytes (flow cytometry) of SZ (mβ) patients (N=55) and HC (N=30). Results. The leukocyte mtDNA CN showed no significant difference in SZ (m+) patients and HC. The mtDNA CN in the unmedicated subgroup SZ (mβ) was significantly higher than that in the SZ (m+) subgroup or in HC group. The level of 8-oxodG in the subgroup SZ (mβ) was significantly higher than that in HC group. Conclusion. The leukocytes of the unmedicated SZ male patients with acute psychosis contain more mtDNA than the leukocytes of the male SZ patients treated with antipsychotic medications or the healthy controls. MtDNA content positively correlates with the level of 8-oxodG in the unmedicated SZ patients
Ribosomal DNA as DAMPs Signal for MCF7 Cancer Cells
Introduction: The cell free ribosomal DNA (cf-rDNA) is accrued in the total pool of cell free DNA (cfDNA) in some non-cancer diseases and demonstrates DAMPs characteristics. The major research questions: (1) How does cell free rDNA content change in breast cancer; (2) What type of response in the MCF7 breast cancer cells is caused by cf-rDNA; and (3) What type of DNA sensors (TLR9 or AIM2) is stimulated in MCF7 in response to the action of cf-rDNA?Materials and Methods: CfDNA and gDNA were isolated from the blood plasma and the cells derived from 38 breast cancer patients and 20 healthy female controls. The rDNA content in DNA was determined using non-radioactive quantitative hybridization. In order to explore the rDNA influence on MCF7 breast cancer cells, the model constructs (GC-DNAs) were applied: pBR322-rDNA plasmid (rDNA inset 5836 bp long) and pBR322 vector. ROS generation, DNA damage, cell cycle, expression of TLR9, AIM2, NF-kB, STAT3, and RNA for 44 genes affecting the cancer cell viability were evaluated. The methods used: RT-qPCR, fluorescent microscopy, immunoassay, flow cytometry, and siRNA technology.Results: The ratio R = cf-rDNA/g-rDNA for the cases was higher than for the controls (median 3.4 vs. 0.8, p < 10β8). In MCF7, GC-DNAs induce a ROS burst, DNA damage response, and augmentation of NF-kB and STAT3 activity. The number of the apoptotic cells decreases, while the number of cells with an instable genome (G2/Mβ arrest, micronuclei) increase. Expression of anti-apoptotic genes (BCL2, BCL2A1, BCL2L1, BIRC3, MDM2) is elevated, while expression of pro-apoptotic genes (BAX, BID, BAD, PMAIP1, BBC3) is lowered. The cells response for pBR322-rDNA is much more intense and develops much faster, than response for pBR322, and is realized through activation of TLR9- MyD88 - NF-kB- signaling. This difference in response speed is owing to the heightened oxidability of pBR322-rDNA and better ability to penetrate the cell. Induction of TLR9 expression in MCF7 is followed by blocking AIM2 expression.Conclusion: (1) Ribosomal DNA accumulates in cfDNA of breast cancer patients; (2) Cell free rDNA induce DNA damage response and stimulates cells survival, including cells with an instable genome; (3) Cell free rDNA triggers TLR9- MyD88- NF-kB- signaling, with significantly repressing the expression of AIM2
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